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be})),n.d(u,"getReshaped",(function(){return ye})),n.d(u,"getPermuted",(function(){return ve})),n.d(u,"getReshapedPermuted",(function(){return we})),n.d(u,"getSliceBeginCoords",(function(){return xe})),n.d(u,"getSliceSize",(function(){return _e})),n.d(u,"prepareAndValidate",(function(){return kt})),n.d(u,"validateUpdateShape",(function(){return Tt.validateUpdateShape})),n.d(u,"validateInput",(function(){return Tt.validateInput})),n.d(u,"calculateShapes",(function(){return Tt.calculateShapes})),n.d(u,"SELU_SCALEALPHA",(function(){return Oe})),n.d(u,"SELU_SCALE",(function(){return Se})),n.d(u,"ERF_P",(function(){return ke})),n.d(u,"ERF_A1",(function(){return Te})),n.d(u,"ERF_A2",(function(){return Ce})),n.d(u,"ERF_A3",(function(){return Ae})),n.d(u,"ERF_A4",(function(){return Ne})),n.d(u,"ERF_A5",(function(){return Ie})),n.d(u,"warn",(function(){return Ee})),n.d(u,"log",(function(){return je})),n.d(u,"mergeRealAndImagArrays",(function(){return 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@license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ class p{constructor(){this.saveRouters=[],this.loadRouters=[]}static getInstance(){return null==p.instance&&(p.instance=new p),p.instance}static registerSaveRouter(t){p.getInstance().saveRouters.push(t)}static registerLoadRouter(t){p.getInstance().loadRouters.push(t)}static getSaveHandlers(t){return p.getHandlers(t,"save")}static getLoadHandlers(t,e){return p.getHandlers(t,"load",e)}static getHandlers(t,e,n){const r=[];return("load"===e?p.getInstance().loadRouters:p.getInstance().saveRouters).forEach(e=>{const i=e(t,n);null!==i&&r.push(i)}),r}}const f=t=>p.registerSaveRouter(t),m=t=>p.registerLoadRouter(t),g=t=>p.getSaveHandlers(t),b=(t,e)=>p.getLoadHandlers(t,e) /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */;function y(){if(!Object(h.c)().getBool("IS_BROWSER"))throw new Error("Failed to obtain IndexedDB factory because the current environmentis not a web browser.");const t="undefined"==typeof window?self:window,e=t.indexedDB||t.mozIndexedDB||t.webkitIndexedDB||t.msIndexedDB||t.shimIndexedDB;if(null==e)throw new Error("The current browser does not appear to support IndexedDB.");return e}function v(t){const e=t.result;e.createObjectStore("models_store",{keyPath:"modelPath"}),e.createObjectStore("model_info_store",{keyPath:"modelPath"})}class w{constructor(t){if(this.indexedDB=y(),null==t||!t)throw new Error("For IndexedDB, modelPath must not be null, undefined or empty.");this.modelPath=t}async save(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");return this.databaseAction(this.modelPath,t)}async load(){return this.databaseAction(this.modelPath)}databaseAction(t,e){return new Promise((t,n)=>{const r=this.indexedDB.open("tensorflowjs",1);r.onupgradeneeded=()=>v(r),r.onsuccess=()=>{const i=r.result;if(null==e){const e=i.transaction("models_store","readonly"),r=e.objectStore("models_store").get(this.modelPath);r.onsuccess=()=>{if(null==r.result)return i.close(),n(new Error(`Cannot find model with path '${this.modelPath}' in IndexedDB.`));t(r.result.modelArtifacts)},r.onerror=t=>(i.close(),n(r.error)),e.oncomplete=()=>i.close()}else{const r=Object(d.g)(e),s=i.transaction("model_info_store","readwrite");let a=s.objectStore("model_info_store");const o=a.put({modelPath:this.modelPath,modelArtifactsInfo:r});let u;o.onsuccess=()=>{u=i.transaction("models_store","readwrite");const o=u.objectStore("models_store").put({modelPath:this.modelPath,modelArtifacts:e,modelArtifactsInfo:r});o.onsuccess=()=>t({modelArtifactsInfo:r}),o.onerror=t=>{a=s.objectStore("model_info_store");const e=a.delete(this.modelPath);e.onsuccess=()=>(i.close(),n(o.error)),e.onerror=t=>(i.close(),n(o.error))}},o.onerror=t=>(i.close(),n(o.error)),s.oncomplete=()=>{null==u?i.close():u.oncomplete=()=>i.close()}}},r.onerror=t=>n(r.error)})}}w.URL_SCHEME="indexeddb://";const x=t=>{return Object(h.c)().getBool("IS_BROWSER")&&!Array.isArray(t)&&t.startsWith(w.URL_SCHEME)?(e=t.slice(w.URL_SCHEME.length),new w(e)):null;var e};p.registerSaveRouter(x),p.registerLoadRouter(x);class _{constructor(){this.indexedDB=y()}async listModels(){return new Promise((t,e)=>{const n=this.indexedDB.open("tensorflowjs",1);n.onupgradeneeded=()=>v(n),n.onsuccess=()=>{const r=n.result,i=r.transaction("model_info_store","readonly"),s=i.objectStore("model_info_store").getAll();s.onsuccess=()=>{const e={};for(const t of s.result)e[t.modelPath]=t.modelArtifactsInfo;t(e)},s.onerror=t=>(r.close(),e(s.error)),i.oncomplete=()=>r.close()},n.onerror=t=>e(n.error)})}async removeModel(t){var e;return t=(e=t).startsWith(w.URL_SCHEME)?e.slice(w.URL_SCHEME.length):e,new Promise((e,n)=>{const r=this.indexedDB.open("tensorflowjs",1);r.onupgradeneeded=()=>v(r),r.onsuccess=()=>{const i=r.result,s=i.transaction("model_info_store","readwrite"),a=s.objectStore("model_info_store"),o=a.get(t);let u;o.onsuccess=()=>{if(null==o.result)return i.close(),n(new Error(`Cannot find model with path '${t}' in IndexedDB.`));{const r=a.delete(t),s=()=>{u=i.transaction("models_store","readwrite");const r=u.objectStore("models_store").delete(t);r.onsuccess=()=>e(o.result.modelArtifactsInfo),r.onerror=t=>n(o.error)};r.onsuccess=s,r.onerror=t=>(s(),i.close(),n(o.error))}},o.onerror=t=>(i.close(),n(o.error)),s.oncomplete=()=>{null==u?i.close():u.oncomplete=()=>i.close()}},r.onerror=t=>n(r.error)})}}var O=n(7); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const S="tensorflowjs_models",k="info",T="model_topology",C="weight_specs",A="weight_data",N="model_metadata";function I(t){return{info:[S,t,k].join("/"),topology:[S,t,T].join("/"),weightSpecs:[S,t,C].join("/"),weightData:[S,t,A].join("/"),modelMetadata:[S,t,N].join("/")}}function E(t){const e=t.split("/");if(e.length<3)throw new Error("Invalid key format: "+t);return e.slice(1,e.length-1).join("/")}class j{constructor(t){if(!Object(h.c)().getBool("IS_BROWSER")||"undefined"==typeof window||void 0===window.localStorage)throw new Error("The current environment does not support local storage.");if(this.LS=window.localStorage,null==t||!t)throw new Error("For local storage, modelPath must not be null, undefined or empty.");this.modelPath=t,this.keys=I(this.modelPath)}async save(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");{const e=JSON.stringify(t.modelTopology),n=JSON.stringify(t.weightSpecs),r=Object(d.g)(t);try{return this.LS.setItem(this.keys.info,JSON.stringify(r)),this.LS.setItem(this.keys.topology,e),this.LS.setItem(this.keys.weightSpecs,n),this.LS.setItem(this.keys.weightData,Object(d.a)(t.weightData)),this.LS.setItem(this.keys.modelMetadata,JSON.stringify({format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy,userDefinedMetadata:t.userDefinedMetadata})),{modelArtifactsInfo:r}}catch(t){throw this.LS.removeItem(this.keys.info),this.LS.removeItem(this.keys.topology),this.LS.removeItem(this.keys.weightSpecs),this.LS.removeItem(this.keys.weightData),this.LS.removeItem(this.keys.modelMetadata),new Error(`Failed to save model '${this.modelPath}' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=${r.modelTopologyBytes}, weightSpecsBytes=${r.weightSpecsBytes}, weightDataBytes=${r.weightDataBytes}.`)}}}async load(){const t=JSON.parse(this.LS.getItem(this.keys.info));if(null==t)throw new Error(`In local storage, there is no model with name '${this.modelPath}'`);if("JSON"!==t.modelTopologyType)throw new Error("BrowserLocalStorage does not support loading non-JSON model topology yet.");const e={},n=JSON.parse(this.LS.getItem(this.keys.topology));if(null==n)throw new Error(`In local storage, the topology of model '${this.modelPath}' is missing.`);e.modelTopology=n;const r=JSON.parse(this.LS.getItem(this.keys.weightSpecs));if(null==r)throw new Error(`In local storage, the weight specs of model '${this.modelPath}' are missing.`);e.weightSpecs=r;const i=this.LS.getItem(this.keys.modelMetadata);if(null!=i){const t=JSON.parse(i);e.format=t.format,e.generatedBy=t.generatedBy,e.convertedBy=t.convertedBy,e.userDefinedMetadata=t.userDefinedMetadata}const s=this.LS.getItem(this.keys.weightData);if(null==s)throw new Error(`In local storage, the binary weight values of model '${this.modelPath}' are missing.`);return e.weightData=Object(d.b)(s),e}}j.URL_SCHEME="localstorage://";const M=t=>{return Object(h.c)().getBool("IS_BROWSER")&&!Array.isArray(t)&&t.startsWith(j.URL_SCHEME)?(e=t.slice(j.URL_SCHEME.length),new j(e)):null;var e};p.registerSaveRouter(M),p.registerLoadRouter(M);class D{constructor(){Object(O.b)(Object(h.c)().getBool("IS_BROWSER"),()=>"Current environment is not a web browser"),Object(O.b)("undefined"==typeof window||void 0!==window.localStorage,()=>"Current browser does not appear to support localStorage"),this.LS=window.localStorage}async listModels(){const t={},e=S+"/",n="/"+k;for(let r=0;r"scheme must not be undefined or null."),t.endsWith("://")&&(t=t.slice(0,t.indexOf("://"))),Object(O.b)(t.length>0,()=>"scheme must not be an empty string.");const n=R.getInstance();Object(O.b)(null==n.managers[t],()=>`A model store manager is already registered for scheme '${t}'.`),n.managers[t]=e}static getManager(t){const e=this.getInstance().managers[t];if(null==e)throw new Error(`Cannot find model manager for scheme '${t}'`);return e}static getSchemes(){return Object.keys(this.getInstance().managers)}}function P(t){if(-1===t.indexOf("://"))throw new Error("The url string provided does not contain a scheme. 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All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class q{fetch(t,e){return fetch(t,e)}now(){return performance.now()}encode(t,e){if("utf-8"!==e&&"utf8"!==e)throw new Error("Browser's encoder only supports utf-8, but got "+e);return null==this.textEncoder&&(this.textEncoder=new TextEncoder),this.textEncoder.encode(t)}decode(t,e){return new TextDecoder(e).decode(t)}}if(Object(h.c)().get("IS_BROWSER")){Object(h.c)().setPlatform("browser",new q);try{R.registerManager(j.URL_SCHEME,new D)}catch(t){}try{R.registerManager(w.URL_SCHEME,new _)}catch(t){}}n(298);var V=n(39),U=n(12),W=n(71),G=n(157),H=n(6); /** * @license * Copyright 2020 Google Inc. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ Object(l.b)();const K={buffer:V.a,cast:U.a,clone:W.a,print:G.a};Object(H.e)(K);function Q(t){return new Promise(t=>setTimeout(t)).then(t)}class X{constructor(t){if(!Object(h.c)().getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is not a browser.");t.startsWith(X.URL_SCHEME)&&(t=t.slice(X.URL_SCHEME.length)),null!=t&&0!==t.length||(t="model"),this.modelTopologyFileName=t+".json",this.weightDataFileName=t+".weights.bin"}async save(t){if("undefined"==typeof document)throw new Error("Browser downloads are not supported in this environment since `document` is not present");const e=window.URL.createObjectURL(new Blob([t.weightData],{type:"application/octet-stream"}));if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserDownloads.save() does not support saving model topology in binary formats yet.");{const n=[{paths:["./"+this.weightDataFileName],weights:t.weightSpecs}],r={modelTopology:t.modelTopology,format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy,weightsManifest:n},i=window.URL.createObjectURL(new Blob([JSON.stringify(r)],{type:"application/json"})),s=null==this.jsonAnchor?document.createElement("a"):this.jsonAnchor;if(s.download=this.modelTopologyFileName,s.href=i,await Q(()=>s.dispatchEvent(new MouseEvent("click"))),null!=t.weightData){const t=null==this.weightDataAnchor?document.createElement("a"):this.weightDataAnchor;t.download=this.weightDataFileName,t.href=e,await Q(()=>t.dispatchEvent(new MouseEvent("click")))}return{modelArtifactsInfo:Object(d.g)(t)}}}}X.URL_SCHEME="downloads://";class Y{constructor(t){if(null==t||t.length<1)throw new Error("When calling browserFiles, at least 1 file is required, but received "+t);this.files=t}async load(){const t=this.files[0],e=this.files.slice(1);return new Promise((n,r)=>{const i=new FileReader;i.onload=i=>{const s=JSON.parse(i.target.result),a=s.modelTopology;if(null==a)return void r(new Error("modelTopology field is missing from file "+t.name));0===e.length&&n({modelTopology:a});const o=s.weightsManifest;if(null==o)return void r(new Error("weightManifest field is missing from file "+t.name));let u;try{u=this.checkManifestAndWeightFiles(o,e)}catch(t){return void r(t)}const c=[],l=[],h=[];o.forEach(t=>{t.paths.forEach(t=>{l.push(t),h.push(null)}),c.push(...t.weights)}),o.forEach(t=>{t.paths.forEach(t=>{const e=new FileReader;e.onload=e=>{const r=e.target.result,i=l.indexOf(t);h[i]=r,-1===h.indexOf(null)&&n({modelTopology:a,weightSpecs:c,weightData:Object(d.d)(h),format:s.format,generatedBy:s.generatedBy,convertedBy:s.convertedBy,userDefinedMetadata:s.userDefinedMetadata})},e.onerror=e=>r(`Failed to weights data from file of path '${t}'.`),e.readAsArrayBuffer(u[t])})})},i.onerror=e=>r(`Failed to read model topology and weights manifest JSON from file '${t.name}'. BrowserFiles supports loading Keras-style tf.Model artifacts only.`),i.readAsText(t)})}checkManifestAndWeightFiles(t,e){const n=[],r=e.map(t=>Object(d.c)(t.name)),i={};for(const s of t)s.paths.forEach(t=>{const s=Object(d.c)(t);if(-1!==n.indexOf(s))throw new Error(`Duplicate file basename found in weights manifest: '${s}'`);if(n.push(s),-1===r.indexOf(s))throw new Error(`Weight file with basename '${s}' is not provided.`);i[t]=e[r.indexOf(s)]});if(n.length!==e.length)throw new Error(`Mismatch in the number of files in weights manifest (${n.length}) and the number of weight files provided (${e.length}).`);return i}}function J(t){return new Y(t)} /** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Z(t,e,n,r){!function(t){Object(O.b)(null!=t&&Array.isArray(t)&&t.length>0,()=>"promises must be a none empty array")}(t),function(t,e){Object(O.b)(t>=0&&t<=1,()=>"Progress fraction must be in range [0, 1], but got startFraction "+t),Object(O.b)(e>=0&&e<=1,()=>"Progress fraction must be in range [0, 1], but got endFraction "+e),Object(O.b)(e>=t,()=>`startFraction must be no more than endFraction, but got startFraction ${t} and endFraction `+e)}(n=null==n?0:n,r=null==r?1:r);let i=0;return Promise.all(t.map(s=>(s.then(s=>{const a=n+ ++i/t.length*(r-n);return e(a),s}),s)))}p.registerSaveRouter(t=>Object(h.c)().getBool("IS_BROWSER")&&!Array.isArray(t)&&t.startsWith(X.URL_SCHEME)?function(t="model"){return new X(t)}(t.slice(X.URL_SCHEME.length)):null);var tt=n(152); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */async function et(t,e){null==e&&(e={});const n=null==e.fetchFunc?Object(h.c)().platform.fetch:e.fetchFunc,r=t.map(t=>n(t,e.requestInit,{isBinary:!0})),i=(null==e.onProgress?await Promise.all(r):await Z(r,e.onProgress,0,.5)).map(t=>t.arrayBuffer());return null==e.onProgress?await Promise.all(i):await Z(i,e.onProgress,.5,1)}async function nt(t,e="",n,r){return rt(t=>et(t,{requestInit:r}))(t,e,n)}function rt(t){return async(e,n="",r)=>{const i=e.map(()=>!1),s={},a=null!=r?r.map(()=>!1):[],o=[];if(e.forEach((t,e)=>{let n=0;t.weights.forEach(t=>{const u="quantization"in t?t.quantization.dtype:t.dtype,c=tt.a[u]*O.N(t.shape),l=()=>{i[e]=!0,null==s[e]&&(s[e]=[]),s[e].push({manifestEntry:t,groupOffset:n,sizeBytes:c})};null!=r?r.forEach((e,n)=>{e===t.name&&(l(),a[n]=!0)}):l(),o.push(t.name),n+=c})}),!a.every(t=>t)){const t=r.filter((t,e)=>!a[e]);throw new Error("Could not find weights in manifest with names: "+t.join(", ")+". \nManifest JSON has weights with names: "+o.join(", ")+".")}const u=i.reduce((t,e,n)=>(e&&t.push(n),t),[]),c=[];u.forEach(t=>{e[t].paths.forEach(t=>{const e=n+(n.endsWith("/")?"":"/")+t;c.push(e)})});const l=await t(c),h={};let p=0;return u.forEach(t=>{const n=e[t].paths.length;let r=0;for(let t=0;t{const e=i.slice(t.groupOffset,t.groupOffset+t.sizeBytes),n=Object(d.e)(e,[t.manifestEntry]);for(const t in n)h[t]=n[t]}),p+=n}),h}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class it{constructor(t,e){if(this.DEFAULT_METHOD="POST",null==e&&(e={}),this.weightPathPrefix=e.weightPathPrefix,this.onProgress=e.onProgress,this.weightUrlConverter=e.weightUrlConverter,null!=e.fetchFunc?(Object(O.b)("function"==typeof e.fetchFunc,()=>"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"),this.fetch=e.fetchFunc):this.fetch=Object(h.c)().platform.fetch,Object(O.b)(null!=t&&t.length>0,()=>"URL path for http must not be null, undefined or empty."),Array.isArray(t)&&Object(O.b)(2===t.length,()=>`URL paths for http must have a length of 2, (actual length is ${t.length}).`),this.path=t,null!=e.requestInit&&null!=e.requestInit.body)throw new Error("requestInit is expected to have no pre-existing body, but has one.");this.requestInit=e.requestInit||{}}async save(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.");const e=Object.assign({method:this.DEFAULT_METHOD},this.requestInit);e.body=new FormData;const n=[{paths:["./model.weights.bin"],weights:t.weightSpecs}],r={modelTopology:t.modelTopology,format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy,userDefinedMetadata:t.userDefinedMetadata,weightsManifest:n};e.body.append("model.json",new Blob([JSON.stringify(r)],{type:"application/json"}),"model.json"),null!=t.weightData&&e.body.append("model.weights.bin",new Blob([t.weightData],{type:"application/octet-stream"}),"model.weights.bin");const i=await this.fetch(this.path,e);if(i.ok)return{modelArtifactsInfo:Object(d.g)(t),responses:[i]};throw new Error("BrowserHTTPRequest.save() failed due to HTTP response status "+i.status+".")}async load(){const t=await this.fetch(this.path,this.requestInit);if(!t.ok)throw new Error(`Request to ${this.path} failed with status code `+t.status+". Please verify this URL points to the model JSON of the model to load.");let e;try{e=await t.json()}catch(t){let e=`Failed to parse model JSON of response from ${this.path}.`;throw this.path.endsWith(".pb")?e+=" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.":e+=" Please make sure the server is serving valid JSON for this request.",new Error(e)}const n=e.modelTopology,r=e.weightsManifest,i=e.generatedBy,s=e.convertedBy,a=e.format,o=e.userDefinedMetadata;if(null==n&&null==r)throw new Error(`The JSON from HTTP path ${this.path} contains neither model topology or manifest for weights.`);let u,c;if(null!=r){const t=await this.loadWeights(r);[u,c]=t}const l={modelTopology:n,weightSpecs:u,weightData:c,userDefinedMetadata:o,generatedBy:i,convertedBy:s,format:a},h=e.modelInitializer;return h&&(l.modelInitializer=h),l}async loadWeights(t){const e=Array.isArray(this.path)?this.path[1]:this.path,[n,r]=function(t){const e=t.lastIndexOf("/"),n=t.lastIndexOf("?"),r=t.substring(0,e),i=n>e?t.substring(n):"";return[r+"/",i]}(e),i=this.weightPathPrefix||n,s=[];for(const e of t)s.push(...e.weights);const a=[],o=[];for(const e of t)for(const t of e.paths)null!=this.weightUrlConverter?o.push(this.weightUrlConverter(t)):a.push(i+t+r);this.weightUrlConverter&&a.push(...await Promise.all(o));const u=await et(a,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress});return[s,Object(d.d)(u)]}}function st(t){return null!=t.match(it.URL_SCHEME_REGEX)}it.URL_SCHEME_REGEX=/^https?:\/\//;const at=(t,e)=>{if("undefined"==typeof fetch&&(null==e||null==e.fetchFunc))return null;{let n=!0;if(n=Array.isArray(t)?t.every(t=>st(t)):st(t),n)return ot(t,e)}return null};function ot(t,e){return new it(t,e)}function ut(t,e){return ot(t,e)} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */p.registerSaveRouter(at),p.registerLoadRouter(at);class ct{constructor(t){this.modelArtifacts=t}async load(){return this.modelArtifacts}}class lt{constructor(t){this.saveHandler=t}async save(t){return this.saveHandler(t)}}function ht(t,e,n,r){if(1===arguments.length){return null!=t.modelTopology||null!=t.weightSpecs?new ct(t):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new ct({modelTopology:t}))}return console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new ct({modelTopology:t,weightSpecs:e,weightData:n,trainingConfig:r})}function dt(t){return new lt(t)} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */var pt=n(1),ft=n(29),mt=n(115),gt=n(4),bt=n(31);const yt=Object(gt.b)({confusionMatrix_: /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e,n){const r=Object(pt.a)(t,"labels","confusionMatrix"),i=Object(pt.a)(e,"predictions","confusionMatrix");O.b(null==n||n>0&&Number.isInteger(n),()=>"If provided, numClasses must be a positive integer, but got "+n),O.b(1===r.rank,()=>"Expected the rank of labels to be 1, but got "+r.rank),O.b(1===i.rank,()=>"Expected the rank of predictions to be 1, but got "+i.rank),O.b(r.shape[0]===i.shape[0],()=>`Mismatch in the number of examples: ${r.shape[0]} vs. ${i.shape[0]}. Labels and predictions should have the same number of elements.`),O.b(n>0&&Number.isInteger(n),()=>"numClasses is required to be a positive integer, but got "+n);const s=Object(mt.a)(Object(U.a)(r,"int32"),n),a=Object(mt.a)(Object(U.a)(i,"int32"),n),o=Object(bt.a)(s),u=Object(ft.a)(o,a);return Object(U.a)(u,"int32")}}); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */var vt=n(3),wt=n(74),xt=n(188); /** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ let _t;async function Ot(t,e){let n=Object(pt.a)(t,"img","toPixels");if(!(t instanceof H.a)){const t=n;n=Object(U.a)(t,"int32"),t.dispose()}if(2!==n.rank&&3!==n.rank)throw new Error(`toPixels only supports rank 2 or 3 tensors, got rank ${n.rank}.`);const[r,i]=n.shape.slice(0,2),s=2===n.rank?1:n.shape[2];if(s>4||2===s)throw new Error("toPixels only supports depth of size 1, 3 or 4 but got "+s);if("float32"!==n.dtype&&"int32"!==n.dtype)throw new Error(`Unsupported type for toPixels: ${n.dtype}. Please use float32 or int32 tensors.`);const a=await n.data(),o="float32"===n.dtype?255:1,u=new Uint8ClampedArray(i*r*4);for(let t=0;t1)throw new Error(`Tensor values for a float32 Tensor must be in the range [0 - 1] but encountered ${i}.`)}else if("int32"===n.dtype&&(i<0||i>255))throw new Error(`Tensor values for a int32 Tensor must be in the range [0 - 255] but encountered ${i}.`);1===s?(e[0]=i*o,e[1]=i*o,e[2]=i*o):e[r]=i*o}const r=4*t;u[r+0]=Math.round(e[0]),u[r+1]=Math.round(e[1]),u[r+2]=Math.round(e[2]),u[r+3]=Math.round(e[3])}if(null!=e){e.width=i,e.height=r;const t=e.getContext("2d"),n=new ImageData(u,i,r);t.putImageData(n,0,0)}return n!==t&&n.dispose(),u}const St=Object(gt.b)({fromPixels_:function(t,e=3){if(e>4)throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");if(null==t)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");let n=!1,r=!1,i=!1,s=!1,a=!1;if(t.data instanceof Uint8Array)n=!0;else if("undefined"!=typeof ImageData&&t instanceof ImageData)r=!0;else if("undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement)i=!0;else if("undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement)s=!0;else{if(null==t.getContext)throw new Error("pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was "+t.constructor.name);a=!0}if(i){const e=2;if(i&&t.readyState element.")}if(null!=Object(wt.c)(vt.eb,l.a.backendName)){const n={pixels:t},r={numChannels:e};return l.a.runKernel(vt.eb,n,r)}const[o,u]=i?[t.videoWidth,t.videoHeight]:[t.width,t.height];let c,h;if(a?c=t.getContext("2d").getImageData(0,0,o,u).data:r||n?c=t.data:(s||i)&&(null==_t&&(_t=document.createElement("canvas").getContext("2d")),_t.canvas.width=o,_t.canvas.height=u,_t.drawImage(t,0,0,o,u),c=_t.getImageData(0,0,o,u).data),4===e)h=new Int32Array(c);else{const t=o*u;h=new Int32Array(t*e);for(let n=0;nt.rank)throw new Error(`index innermost dimension length must be <= tensor rank; saw: ${e.shape[e.rank-1]} vs. ${t.rank}`);if(0===t.size)throw new Error(`Requested more than 0 entries, but input is empty. Input shape: ${t.shape}.`);const n=e.shape,r=n[n.length-1];let i=1;for(let t=0;tt/o),1].slice(0,r);return[a,i,o,u]}var Tt=n(121),Ct=n(52); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ class At{getClassName(){return this.constructor.className}static fromConfig(t,e){return new t(e)}}class Nt{constructor(){this.classNameMap={}}static getMap(){return null==Nt.instance&&(Nt.instance=new Nt),Nt.instance}static register(t){Nt.getMap().classNameMap[t.className]=[t,t.fromConfig]}}function It(t){Object(O.b)(null!=t.className,()=>"Class being registered does not have the static className property defined."),Object(O.b)("string"==typeof t.className,()=>"className is required to be a string, but got type "+typeof t.className),Object(O.b)(t.className.length>0,()=>"Class being registered has an empty-string as its className, which is disallowed."),Nt.register(t)}var Et=n(25),jt=n(143),Mt=n(10); /** @license See the LICENSE file. */ const Dt="2.7.0";var Rt=n(22),Pt=n(13),Ft=n(16),zt=n(9),Lt=n(35),$t=n(27),Bt=n(23),qt=n(33),Vt=n(15); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ class Ut extends At{minimize(t,e=!1,n){const{value:r,grads:i}=this.computeGradients(t,n);if(null!=n){const t=n.map(t=>({name:t.name,tensor:i[t.name]}));this.applyGradients(t)}else this.applyGradients(i);return Object(Rt.d)(i),e?r:(r.dispose(),null)}get iterations(){return null==this.iterations_&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(t,e){return Object(qt.f)(t,e)}dispose(){null!=this.iterations_&&Object(Rt.d)(this.iterations_)}async saveIterations(){return null==this.iterations_&&(this.iterations_=0),{name:"iter",tensor:Object(Vt.a)(this.iterations_,"int32")}}async getWeights(){throw new Error("getWeights() is not implemented for this optimizer yet.")}async setWeights(t){throw new Error("setWeights() is not implemented for this optimizer class "+this.getClassName())}async extractIterations(t){return this.iterations_=(await t[0].tensor.data())[0],t.slice(1)}}Object.defineProperty(Ut,Symbol.hasInstance,{value:t=>null!=t.minimize&&null!=t.computeGradients&&null!=t.applyGradients}); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ class Wt extends Ut{constructor(t,e,n=null){super(),this.learningRate=t,this.rho=e,this.epsilon=n,this.accumulatedGrads=[],this.accumulatedUpdates=[],null==n&&(this.epsilon=l.a.backend.epsilon())}applyGradients(t){(Array.isArray(t)?t.map(t=>t.name):Object.keys(t)).forEach((e,n)=>{const r=l.a.registeredVariables[e];null==this.accumulatedGrads[n]&&(this.accumulatedGrads[n]={originalName:e+"/accum_grad",variable:Object(Rt.t)(()=>Object(Bt.a)(r).variable(!1))}),null==this.accumulatedUpdates[n]&&(this.accumulatedUpdates[n]={originalName:e+"/accum_var",variable:Object(Rt.t)(()=>Object(Bt.a)(r).variable(!1))});const i=Array.isArray(t)?t[n].tensor:t[e];if(null==i)return;const s=this.accumulatedGrads[n].variable,a=this.accumulatedUpdates[n].variable;Object(Rt.t)(()=>{const t=Object(Pt.a)(Object(zt.a)(s,this.rho),Object(zt.a)(Object($t.a)(i),1-this.rho)),e=Object(zt.a)(Object(Ft.a)(Object(Lt.a)(Object(Pt.a)(a,this.epsilon)),Object(Lt.a)(Object(Pt.a)(s,this.epsilon))),i),n=Object(Pt.a)(Object(zt.a)(a,this.rho),Object(zt.a)(Object($t.a)(e),1-this.rho));s.assign(t),a.assign(n);const o=Object(Pt.a)(Object(zt.a)(e,-this.learningRate),r);r.assign(o)})}),this.incrementIterations()}dispose(){null!=this.accumulatedUpdates&&(Object(Rt.d)(this.accumulatedGrads.map(t=>t.variable)),Object(Rt.d)(this.accumulatedUpdates.map(t=>t.variable)))}async getWeights(){const t=[...this.accumulatedGrads,...this.accumulatedUpdates];return[await this.saveIterations()].concat(t.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(t){const e=(t=await this.extractIterations(t)).length/2;this.accumulatedGrads=t.slice(0,e).map(t=>({originalName:t.name,variable:t.tensor.variable(!1)})),this.accumulatedUpdates=t.slice(e,2*e).map(t=>({originalName:t.name,variable:t.tensor.variable(!1)}))}getConfig(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}static fromConfig(t,e){return new t(e.learningRate,e.rho,e.epsilon)}}Wt.className="Adadelta",It(Wt);var Gt=n(123); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class Ht extends Ut{constructor(t,e=.1){super(),this.learningRate=t,this.initialAccumulatorValue=e,this.accumulatedGrads=[]}applyGradients(t){(Array.isArray(t)?t.map(t=>t.name):Object.keys(t)).forEach((e,n)=>{const r=l.a.registeredVariables[e];if(null==this.accumulatedGrads[n]){const t=!1;this.accumulatedGrads[n]={originalName:e+"/accumulator",variable:Object(Rt.t)(()=>Object(Gt.a)(r.shape,this.initialAccumulatorValue).variable(t))}}const i=Array.isArray(t)?t[n].tensor:t[e];if(null==i)return;const s=this.accumulatedGrads[n].variable;Object(Rt.t)(()=>{const t=Object(Pt.a)(s,Object($t.a)(i));s.assign(t);const e=Object(Pt.a)(Object(zt.a)(Object(Ft.a)(i,Object(Lt.a)(Object(Pt.a)(t,l.a.backend.epsilon()))),-this.learningRate),r);r.assign(e)})}),this.incrementIterations()}dispose(){null!=this.accumulatedGrads&&Object(Rt.d)(this.accumulatedGrads.map(t=>t.variable))}async getWeights(){return[await this.saveIterations()].concat(this.accumulatedGrads.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(t){t=await this.extractIterations(t);this.accumulatedGrads=t.map(t=>({originalName:t.name,variable:t.tensor.variable(!1)}))}getConfig(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}static fromConfig(t,e){return new t(e.learningRate,e.initialAccumulatorValue)}}Ht.className="Adagrad",It(Ht);var Kt=n(44),Qt=n(14); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ class Xt extends Ut{constructor(t,e,n,r=null){super(),this.learningRate=t,this.beta1=e,this.beta2=n,this.epsilon=r,this.accumulatedFirstMoment=[],this.accumulatedSecondMoment=[],Object(Rt.t)(()=>{this.accBeta1=Object(Vt.a)(e).variable(),this.accBeta2=Object(Vt.a)(n).variable()}),null==r&&(this.epsilon=l.a.backend.epsilon())}applyGradients(t){const e=Array.isArray(t)?t.map(t=>t.name):Object.keys(t);Object(Rt.t)(()=>{const n=Object(Qt.a)(1,this.accBeta1),r=Object(Qt.a)(1,this.accBeta2);e.forEach((e,i)=>{const s=l.a.registeredVariables[e];null==this.accumulatedFirstMoment[i]&&(this.accumulatedFirstMoment[i]={originalName:e+"/m",variable:Object(Rt.t)(()=>Object(Bt.a)(s).variable(!1))}),null==this.accumulatedSecondMoment[i]&&(this.accumulatedSecondMoment[i]={originalName:e+"/v",variable:Object(Rt.t)(()=>Object(Bt.a)(s).variable(!1))});const a=Array.isArray(t)?t[i].tensor:t[e];if(null==a)return;const o=this.accumulatedFirstMoment[i].variable,u=this.accumulatedSecondMoment[i].variable,c=Object(Pt.a)(Object(zt.a)(o,this.beta1),Object(zt.a)(a,1-this.beta1)),h=Object(Pt.a)(Object(zt.a)(u,this.beta2),Object(zt.a)(Object($t.a)(a),1-this.beta2)),d=Object(Ft.a)(c,n),p=Object(Ft.a)(h,r);o.assign(c),u.assign(h);const f=Object(Pt.a)(Object(zt.a)(Object(Ft.a)(d,Object(Pt.a)(Object(Lt.a)(p),this.epsilon)),-this.learningRate),s);s.assign(f)}),this.accBeta1.assign(Object(zt.a)(this.accBeta1,this.beta1)),this.accBeta2.assign(Object(zt.a)(this.accBeta2,this.beta2))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.accBeta2.dispose(),null!=this.accumulatedFirstMoment&&Object(Rt.d)(this.accumulatedFirstMoment.map(t=>t.variable)),null!=this.accumulatedSecondMoment&&Object(Rt.d)(this.accumulatedSecondMoment.map(t=>t.variable))}async getWeights(){const t=[...this.accumulatedFirstMoment,...this.accumulatedSecondMoment];return[await this.saveIterations()].concat(t.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(t){t=await this.extractIterations(t),Object(Rt.t)(()=>{this.accBeta1.assign(Object(Kt.a)(this.beta1,this.iterations_+1)),this.accBeta2.assign(Object(Kt.a)(this.beta2,this.iterations_+1))});const e=t.length/2;this.accumulatedFirstMoment=t.slice(0,e).map(t=>({originalName:t.name,variable:t.tensor.variable(!1)})),this.accumulatedSecondMoment=t.slice(e,2*e).map(t=>({originalName:t.name,variable:t.tensor.variable(!1)}))}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}static fromConfig(t,e){return new t(e.learningRate,e.beta1,e.beta2,e.epsilon)}}Xt.className="Adam",It(Xt);var Yt=n(41),Jt=n(68); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ class Zt extends Ut{constructor(t,e,n,r=null,i=0){super(),this.learningRate=t,this.beta1=e,this.beta2=n,this.epsilon=r,this.decay=i,this.accumulatedFirstMoment=[],this.accumulatedWeightedInfNorm=[],Object(Rt.t)(()=>{this.iteration=Object(Vt.a)(0).variable(),this.accBeta1=Object(Vt.a)(e).variable()}),null==r&&(this.epsilon=l.a.backend.epsilon())}applyGradients(t){const e=Array.isArray(t)?t.map(t=>t.name):Object.keys(t);Object(Rt.t)(()=>{const n=Object(Qt.a)(1,this.accBeta1),r=Object(Ft.a)(-this.learningRate,Object(Pt.a)(Object(zt.a)(this.iteration,this.decay),1));e.forEach((e,i)=>{const s=l.a.registeredVariables[e];null==this.accumulatedFirstMoment[i]&&(this.accumulatedFirstMoment[i]={originalName:e+"/m",variable:Object(Bt.a)(s).variable(!1)}),null==this.accumulatedWeightedInfNorm[i]&&(this.accumulatedWeightedInfNorm[i]={originalName:e+"/v",variable:Object(Bt.a)(s).variable(!1)});const a=Array.isArray(t)?t[i].tensor:t[e];if(null==a)return;const o=this.accumulatedFirstMoment[i].variable,u=this.accumulatedWeightedInfNorm[i].variable,c=Object(Pt.a)(Object(zt.a)(o,this.beta1),Object(zt.a)(a,1-this.beta1)),h=Object(zt.a)(u,this.beta2),d=Object(Yt.a)(a),p=Object(Jt.a)(h,d);o.assign(c),u.assign(p);const f=Object(Pt.a)(Object(zt.a)(Object(Ft.a)(r,n),Object(Ft.a)(c,Object(Pt.a)(p,this.epsilon))),s);s.assign(f)}),this.iteration.assign(Object(Pt.a)(this.iteration,1)),this.accBeta1.assign(Object(zt.a)(this.accBeta1,this.beta1))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.iteration.dispose(),null!=this.accumulatedFirstMoment&&Object(Rt.d)(this.accumulatedFirstMoment.map(t=>t.variable)),null!=this.accumulatedWeightedInfNorm&&Object(Rt.d)(this.accumulatedWeightedInfNorm.map(t=>t.variable))}async getWeights(){throw new Error("getWeights() is not implemented for Adamax yet.")}async setWeights(t){throw new Error("setWeights() is not implemented for Adamax yet.")}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}static fromConfig(t,e){return new t(e.learningRate,e.beta1,e.beta2,e.epsilon,e.decay)}}Zt.className="Adamax",It(Zt); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ class te extends Ut{constructor(t){super(),this.learningRate=t,this.setLearningRate(t)}applyGradients(t){(Array.isArray(t)?t.map(t=>t.name):Object.keys(t)).forEach((e,n)=>{const r=Array.isArray(t)?t[n].tensor:t[e];if(null==r)return;const i=l.a.registeredVariables[e];Object(Rt.t)(()=>{const t=Object(Pt.a)(Object(zt.a)(this.c,r),i);i.assign(t)})}),this.incrementIterations()}setLearningRate(t){this.learningRate=t,null!=this.c&&this.c.dispose(),this.c=Object(Rt.l)(Object(Vt.a)(-t))}dispose(){this.c.dispose()}async getWeights(){return[await this.saveIterations()]}async setWeights(t){if(0!==(t=await this.extractIterations(t)).length)throw new Error("SGD optimizer does not have settable weights.")}getConfig(){return{learningRate:this.learningRate}}static fromConfig(t,e){return new t(e.learningRate)}}te.className="SGD",It(te); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ class ee extends te{constructor(t,e,n=!1){super(t),this.learningRate=t,this.momentum=e,this.useNesterov=n,this.accumulations=[],this.m=Object(Vt.a)(this.momentum)}applyGradients(t){(Array.isArray(t)?t.map(t=>t.name):Object.keys(t)).forEach((e,n)=>{const r=l.a.registeredVariables[e];if(null==this.accumulations[n]){const t=!1;this.accumulations[n]={originalName:e+"/momentum",variable:Object(Rt.t)(()=>Object(Bt.a)(r).variable(t))}}const i=this.accumulations[n].variable,s=Array.isArray(t)?t[n].tensor:t[e];null!=s&&Object(Rt.t)(()=>{let t;const e=Object(Pt.a)(Object(zt.a)(this.m,i),s);t=this.useNesterov?Object(Pt.a)(Object(zt.a)(this.c,Object(Pt.a)(s,Object(zt.a)(e,this.m))),r):Object(Pt.a)(Object(zt.a)(this.c,e),r),i.assign(e),r.assign(t)})}),this.incrementIterations()}dispose(){this.m.dispose(),null!=this.accumulations&&Object(Rt.d)(this.accumulations.map(t=>t.variable))}setMomentum(t){this.momentum=t}async getWeights(){return[await this.saveIterations()].concat(this.accumulations.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(t){t=await this.extractIterations(t);this.accumulations=t.map(t=>({originalName:t.name,variable:t.tensor.variable(!1)}))}getConfig(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}static fromConfig(t,e){return new t(e.learningRate,e.momentum,e.useNesterov)}}ee.className="Momentum",It(ee); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ class ne extends Ut{constructor(t,e=.9,n=0,r=null,i=!1){if(super(),this.learningRate=t,this.decay=e,this.momentum=n,this.epsilon=r,this.accumulatedMeanSquares=[],this.accumulatedMoments=[],this.accumulatedMeanGrads=[],this.centered=i,null==r&&(this.epsilon=l.a.backend.epsilon()),null==t)throw new Error("learningRate for RMSPropOptimizer must be defined.")}applyGradients(t){(Array.isArray(t)?t.map(t=>t.name):Object.keys(t)).forEach((e,n)=>{const r=l.a.registeredVariables[e];null==this.accumulatedMeanSquares[n]&&(this.accumulatedMeanSquares[n]={originalName:e+"/rms",variable:Object(Rt.t)(()=>Object(Bt.a)(r).variable(!1))}),null==this.accumulatedMoments[n]&&(this.accumulatedMoments[n]={originalName:e+"/momentum",variable:Object(Rt.t)(()=>Object(Bt.a)(r).variable(!1))}),null==this.accumulatedMeanGrads[n]&&this.centered&&(this.accumulatedMeanGrads[n]={originalName:e+"/mg",variable:Object(Rt.t)(()=>Object(Bt.a)(r).variable(!1))});const i=Array.isArray(t)?t[n].tensor:t[e];if(null==i)return;const s=this.accumulatedMeanSquares[n].variable,a=this.accumulatedMoments[n].variable;Object(Rt.t)(()=>{const t=Object(Pt.a)(Object(zt.a)(s,this.decay),Object(zt.a)(Object($t.a)(i),1-this.decay));if(this.centered){const e=this.accumulatedMeanGrads[n].variable,o=Object(Pt.a)(Object(zt.a)(e,this.decay),Object(zt.a)(i,1-this.decay)),u=Object(Ft.a)(Object(zt.a)(i,this.learningRate),Object(Lt.a)(Object(Qt.a)(t,Object(Pt.a)(Object($t.a)(o),this.epsilon)))),c=Object(Pt.a)(Object(zt.a)(a,this.momentum),u);s.assign(t),e.assign(o),a.assign(c);const l=Object(Qt.a)(r,c);r.assign(l)}else{const t=Object(Pt.a)(Object(zt.a)(s,this.decay),Object(zt.a)(Object($t.a)(i),1-this.decay)),e=Object(Pt.a)(Object(zt.a)(a,this.momentum),Object(Ft.a)(Object(zt.a)(i,this.learningRate),Object(Lt.a)(Object(Pt.a)(t,this.epsilon))));s.assign(t),a.assign(e);const n=Object(Qt.a)(r,e);r.assign(n)}})}),this.incrementIterations()}dispose(){null!=this.accumulatedMeanSquares&&Object(Rt.d)(this.accumulatedMeanSquares.map(t=>t.variable)),null!=this.accumulatedMeanGrads&&this.centered&&Object(Rt.d)(this.accumulatedMeanGrads.map(t=>t.variable)),null!=this.accumulatedMoments&&Object(Rt.d)(this.accumulatedMoments.map(t=>t.variable))}async getWeights(){const t=[...this.accumulatedMeanSquares,...this.accumulatedMoments];return this.centered&&t.push(...this.accumulatedMeanGrads),[await this.saveIterations()].concat(t.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(t){t=await this.extractIterations(t);const e=this.centered?t.length/3:t.length/2;this.accumulatedMeanSquares=t.slice(0,e).map(t=>({originalName:t.name,variable:t.tensor.variable(!1)})),this.accumulatedMoments=t.slice(e,2*e).map(t=>({originalName:t.name,variable:t.tensor.variable(!1)})),this.centered&&(this.accumulatedMeanGrads=t.slice(2*e,3*e).map(t=>({originalName:t.name,variable:t.tensor.variable(!1)})))}getConfig(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}}static fromConfig(t,e){return new t(e.learningRate,e.decay,e.momentum,e.epsilon,e.centered)}}ne.className="RMSProp",It(ne);var re=n(97),ie=n(19),se=n(34); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ class ae{static sgd(t){return new te(t)}static momentum(t,e,n=!1){return new ee(t,e,n)}static rmsprop(t,e=.9,n=0,r=null,i=!1){return new ne(t,e,n,r,i)}static adam(t=.001,e=.9,n=.999,r=null){return new Xt(t,e,n,r)}static adadelta(t=.001,e=.95,n=null){return new Wt(t,e,n)}static adamax(t=.002,e=.9,n=.999,r=null,i=0){return new Zt(t,e,n,r,i)}static adagrad(t,e=.1){return new Ht(t,e)}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const oe={sgd:ae.sgd,momentum:ae.momentum,adadelta:ae.adadelta,adagrad:ae.adagrad,rmsprop:ae.rmsprop,adamax:ae.adamax,adam:ae.adam};var ue=n(253),ce=n(77),le=n(58),he=n(24),de=n(18),pe=n(148),fe=n(20),me=n(42),ge=n(171); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function be(t,e,n){return[n*("number"==typeof t?t:t[0]),e*("number"==typeof t?t:t[1])]} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function ye(t,e,n,r=!0){let i=[];if(r)i=i.concat(e.slice(0)),i.push(t[0]/n),i=i.concat(t.slice(1));else{i=i.concat(t[0]);const n=e.length;for(let r=0;r=2*e+1||r%2==1?i.push(r):n.push(r);r.push(...n),r.push(0),r.push(...i)}return r}function we(t,e,n,r=!0){const i=[];r?i.push(t[0]/n):i.push(t[0]*n);for(let n=1;n{const s=[...i];s[n]=e;const a=Object(Ke.a)(t,r,s);return r[n]+=e,a})} /** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Xe(t,e){const n=new Array(t.rank);for(let r=0;re.value-t.value);const a=e*r,l=u.subarray(a,a+r),h=c.subarray(a,a+r);for(let t=0;t{const[n]=e;return{x:()=>Object(zt.a)(t,Object(en.a)(Object(U.a)(n,"float32"),-1))}}};var rn=n(30); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const sn={kernelName:vt.b,inputsToSave:["x"],gradFunc:(t,e)=>{const[n]=e;return{x:()=>{const e=Object($t.a)(Object(U.a)(n,"float32")),r=Object(Lt.a)(Object(Qt.a)(Object(Vt.a)(1),e));return Object(rn.a)(Object(Ft.a)(t,r))}}}},an={kernelName:vt.c,inputsToSave:["x"],gradFunc:(t,e)=>{const[n]=e;return{x:()=>{const e=Object(Lt.a)(Object(Qt.a)(Object($t.a)(Object(U.a)(n,"float32")),1));return Object(Ft.a)(t,e)}}}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */var on=n(8),un=n(21); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const cn={kernelName:vt.d,inputsToSave:["a","b"],gradFunc:(t,e)=>{const[n,r]=e,i=de.a(n.shape,r.shape);return{a:()=>{let e=t;const r=de.c(n.shape,i);return r.length>0&&(e=Object(un.a)(e,r)),Object(on.a)(e,n.shape)},b:()=>{let e=t;const n=de.c(r.shape,i);return n.length>0&&(e=Object(un.a)(e,n)),Object(on.a)(e,r.shape)}}}},ln={kernelName:vt.e,saveAllInputs:!0,gradFunc:(t,e)=>{const n={};return e.forEach((e,r)=>{n[r]=()=>t.clone()}),n}},hn={kernelName:vt.h,inputsToSave:["x"],gradFunc:(t,e)=>{const[n]=e;return{x:()=>Object(Bt.a)(n)}}},dn={kernelName:vt.i,inputsToSave:["x"],gradFunc:(t,e)=>{const[n]=e;return{x:()=>Object(Bt.a)(n)}}},pn={kernelName:vt.j,inputsToSave:["x"],gradFunc:(t,e)=>{const[n]=e;return{x:()=>Object(Ft.a)(t,Object(Lt.a)(Object(Qt.a)(Object(Vt.a)(1),Object($t.a)(Object(U.a)(n,"float32")))))}}},fn={kernelName:vt.k,inputsToSave:["x"],gradFunc:(t,e)=>{const[n]=e;return{x:()=>{const e=Object(Lt.a)(Object(Pt.a)(Object(Vt.a)(1),Object($t.a)(Object(U.a)(n,"float32"))));return Object(Ft.a)(t,e)}}}},mn={kernelName:vt.m,inputsToSave:["a","b"],gradFunc:(t,e)=>{const[n,r]=e,i=Object(de.a)(n.shape,r.shape);return{a:()=>{const e=Object(Pt.a)(Object($t.a)(n),Object($t.a)(r));let s=Object(zt.a)(t,Object(Ft.a)(r,e));const a=Object(de.c)(n.shape,i);return a.length>0&&(s=Object(un.a)(s,a)),Object(on.a)(s,n.shape)},b:()=>{const e=Object(Pt.a)(Object($t.a)(n),Object($t.a)(r));let s=Object(rn.a)(Object(zt.a)(t,Object(Ft.a)(n,e)));const a=Object(de.c)(r.shape,i);return a.length>0&&(s=Object(un.a)(s,a)),Object(on.a)(s,r.shape)}}}},gn={kernelName:vt.l,inputsToSave:["x"],gradFunc:(t,e)=>{const[n]=e;return{x:()=>Object(Ft.a)(t,Object(Pt.a)(Object($t.a)(Object(U.a)(n,"float32")),1))}}},bn={kernelName:vt.n,inputsToSave:["x"],gradFunc:(t,e)=>{const[n]=e;return{x:()=>Object(Ft.a)(t,Object(Qt.a)(Object(Vt.a)(1),Object($t.a)(Object(U.a)(n,"float32"))))}}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const yn=Object(gt.b)({avgPool3dBackprop_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e,n,r,i=[1,1,1],s,a){const o=Object(pt.a)(t,"dy","avgPool3dBackprop"),u=Object(pt.a)(e,"input","avgPool3dBackprop");let c=o,h=u,d=!1;4===u.rank&&(d=!0,c=Object(on.a)(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]]),h=Object(on.a)(u,[1,u.shape[0],u.shape[1],u.shape[2],u.shape[3]])),O.b(5===c.rank,()=>"Error in avgPool3dBackprop: dy must be rank 5 but got rank "+c.rank+"."),O.b(5===h.rank,()=>"Error in avgPool3dBackprop: input must be rank 5 but got rank "+h.rank+"."),O.b(fe.h(r,i),()=>`Error in avgPool3dBackprop: Either strides or dilations must be 1. Got strides ${r} and dilations '${i}'`),null!=a&&O.b(O.v(s),()=>`Error in maxPool3dBackprop: pad must be an integer when using, dimRoundingMode ${a} but got pad ${s}.`);const p={dy:c,input:h},f={filterSize:n,strides:r,dilations:i,pad:s,dimRoundingMode:a},m=l.a.runKernelFunc(t=>{const e=fe.f(h.shape,n,r,i,s,a);return t.avgPool3dBackprop(c,h,e)},p,null,vt.q,f);return d?Object(on.a)(m,[m.shape[1],m.shape[2],m.shape[3],m.shape[4]]):m}}),vn={kernelName:vt.p,inputsToSave:["x"],gradFunc:(t,e,n)=>{const[r]=e,{filterSize:i,strides:s,dilations:a,pad:o,dimRoundingMode:u}=n,c=null==a?[1,1,1]:a;return{x:()=>yn(t,r,i,s,c,o,u)}}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const wn=Object(gt.b)({avgPoolBackprop_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e,n,r,i){const s=Object(pt.a)(t,"dy","avgPoolBackprop"),a=Object(pt.a)(e,"input","avgPoolBackprop");O.b(a.rank===s.rank,()=>`Rank of input (${a.rank}) does not match rank of dy (${s.rank})`);let o=a,u=s,c=!1;3===a.rank&&(c=!0,o=Object(on.a)(a,[1,a.shape[0],a.shape[1],a.shape[2]]),u=Object(on.a)(s,[1,s.shape[0],s.shape[1],s.shape[2]])),O.b(4===u.rank,()=>"Error in avgPoolBackprop: dy must be rank 4 but got rank "+u.rank+"."),O.b(4===o.rank,()=>"Error in avgPoolBackprop: input must be rank 4 but got rank "+o.rank+".");const h={dy:u,input:o},d={filterSize:n,strides:r,pad:i},p=l.a.runKernelFunc(t=>{const e=fe.e(o.shape,n,r,1,i);return t.avgPoolBackprop(u,o,e)},h,null,vt.r,d);return c?Object(on.a)(p,[p.shape[1],p.shape[2],p.shape[3]]):p}}),xn={kernelName:vt.o,inputsToSave:["x"],gradFunc:(t,e,n)=>{const[r]=e,{filterSize:i,strides:s,pad:a}=n;return{x:()=>wn(t,r,i,s,a)}}},_n={kernelName:vt.s,inputsToSave:["a","b"],gradFunc:(t,e,n)=>{const[r,i]=e,{transposeA:s,transposeB:a}=n;return s||a?!s&&a?{a:()=>Object(ft.a)(t,i,!1,!1),b:()=>Object(ft.a)(t,r,!0,!1)}:s&&!a?{a:()=>Object(ft.a)(i,t,!1,!0),b:()=>Object(ft.a)(r,t,!1,!1)}:{a:()=>Object(ft.a)(i,t,!0,!0),b:()=>Object(ft.a)(t,r,!0,!0)}:{a:()=>Object(ft.a)(t,i,!1,!0),b:()=>Object(ft.a)(r,t,!0,!1)}}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */var On=n(105); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Sn={kernelName:vt.t,gradFunc:(t,e,n)=>{const{blockShape:r,crops:i}=n;return{x:()=>Object(On.a)(t,r,i)}}},kn={kernelName:vt.u,gradFunc:(t,e,n)=>{const r=n,i=r.inputShape,s=r.shape,a=Array.from(s);for(let t=i.length-1;t>=0;t--)if(i[t]===s[t])a[t]=1;else if(1!==i[t])throw new Error(`broadcastTo(): [${i}] cannot be broadcast to [${s}].`);const o=[];for(let t=0;t1&&o.push(t);return{x:()=>Object(un.a)(t,o,!0)}}},Tn={kernelName:vt.v,gradFunc:t=>({x:()=>t.clone()})},Cn={kernelName:vt.w,gradFunc:t=>({x:()=>Object(Bt.a)(t)})}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */var An=n(56),Nn=n(57),In=n(62),En=n(37); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const jn={kernelName:vt.x,inputsToSave:["x"],gradFunc:(t,e,n)=>{const[r]=e,{clipValueMin:i,clipValueMax:s}=n;return{x:()=>Object(En.a)(Object(In.a)(Object(An.a)(r,i),Object(Nn.a)(r,s)),t,Object(Bt.a)(t))}}};var Mn=n(78); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Dn={kernelName:vt.z,saveAllInputs:!0,gradFunc:(t,e,n)=>{const r=e.map(t=>t.shape),{axis:i}=n,s=Object(O.I)(i,e[0].shape)[0],a=r.map(t=>t[s]);return Object(Mn.a)(t,a,s).map(t=>()=>t)}};var Rn=n(144),Pn=n(142); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const Fn={kernelName:vt.A,inputsToSave:["x","filter"],gradFunc:(t,e,n)=>{const[r,i]=e,{dilations:s,strides:a,pad:o,dataFormat:u}=n;return O.b(fe.i(s),()=>`Error in gradient of conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`),{x:()=>Object(Pn.a)(r.shape,t,i,a,o,u),filter:()=>Object(Rn.a)(r,t,i.shape,a,o,u)}}};var zn=n(69); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Ln={kernelName:vt.C,inputsToSave:["dy","filter"],gradFunc:(t,e,n)=>{const[r,i]=e,{strides:s,pad:a,dataFormat:o,dimRoundingMode:u}=n;return{dy:()=>Object(zn.a)(t,i,s,a,o,1,u),filter:()=>Object(Rn.a)(t,r,i.shape,s,a,o,u)}}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const $n=Object(gt.b)({conv3DBackpropFilter_:function(t,e,n,r,i){let s=t;4===t.rank&&(s=Object(on.a)(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]]));let a=e;4===a.rank&&(a=Object(on.a)(e,[1,e.shape[0],e.shape[1],e.shape[2],e.shape[3]])),O.b(5===s.rank,()=>"Error in conv3dDerFilter: input must be rank 5, but got shape "+s.shape+"."),O.b(5===a.rank,()=>"Error in conv3dDerFilter: dy must be rank 5, but got shape "+a.shape+"."),O.b(5===n.length,()=>"Error in conv3dDerFilter: filterShape must be length 5, but got "+n+"."),O.b(s.shape[4]===n[3],()=>`Error in conv3dDerFilter: depth of input ${s.shape[4]}) must match input depth in filter (${n[3]}.`),O.b(a.shape[4]===n[4],()=>`Error in conv3dDerFilter: depth of dy (${a.shape[4]}) must match output depth for filter (${n[4]}).`);const o={x:s,dy:a},u={strides:r,pad:i,filterShape:n};return l.a.runKernelFunc(t=>{const e=fe.b(s.shape,n,r,1,i);return t.conv3dDerFilter(s,a,e)},o,null,vt.E,u)}});var Bn=n(206); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const qn={kernelName:vt.D,inputsToSave:["x","filter"],gradFunc:(t,e,n)=>{const{dilations:r,strides:i,pad:s}=n;O.b(Object(fe.i)(r),()=>`Error in gradient of conv3D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${r}'`);const[a,o]=e;return{x:()=>Object(Bn.a)(a.shape,t,o,i,s),filter:()=>$n(a,t,o.shape,i,s)}}};var Vn=n(184); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Un={kernelName:vt.G,inputsToSave:["x"],gradFunc:(t,e)=>{const[n]=e;return{x:()=>Object(zt.a)(Object(rn.a)(Object(Vn.a)(Object(U.a)(n,"float32"))),t)}}};var Wn=n(185); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Gn={kernelName:vt.H,inputsToSave:["x"],gradFunc:(t,e)=>{const[n]=e;return{x:()=>Object(zt.a)(Object(Wn.a)(Object(U.a)(n,"float32")),t)}}};var Hn=n(126); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Kn={kernelName:vt.J,inputsToSave:["x"],gradFunc:(t,e,n)=>{const[r]=e,{axis:i,exclusive:s,reverse:a}=n;return{x:()=>{const e=Object(he.f)([i],r.rank);let n=Object(Hn.a)(t,i,s,!a);return null!=e&&(n=Object(bt.a)(n,e)),n}}}};var Qn=n(210),Xn=n(209); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const Yn={kernelName:vt.L,inputsToSave:["x","filter"],gradFunc:(t,e,n)=>{const{dilations:r,strides:i,pad:s,dimRoundingMode:a}=n,o=null==r?[1,1]:r;O.b(fe.i(o),()=>`Error in gradient of depthwiseConv2dNative: dilation rates greater than 1 are not yet supported. Got dilations '${o}'`);const[u,c]=e;return O.b(4===u.rank,()=>`Error in gradient of depthwiseConv2dNative: input must be rank 4, but got rank ${u.rank}.`),O.b(4===c.rank,()=>`Error in gradient of depthwiseConv2dNative: filter must be rank 4, but got rank ${c.rank}.`),O.b(u.shape[3]===c.shape[2],()=>`Error in gradient of depthwiseConv2d: number of input channels (${u.shape[3]}) must match the inChannels dimension in filter ${c.shape[2]}.`),O.b(fe.h(i,o),()=>`Error in gradient of depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${o}'.`),null!=a&&O.b(O.v(s),()=>`Error in depthwiseConv2d: pad must be an integer when using, dimRoundingMode ${a} but got pad ${s}.`),{x:()=>Object(Xn.a)(u.shape,t,c,i,s,r,a),filter:()=>Object(Qn.a)(u,t,c.shape,i,s,r,a)}}},Jn={kernelName:vt.P,inputsToSave:["x","filter"],gradFunc:(t,e,n)=>{const[r,i]=e,s={x:r,filter:i,dy:t},a={x:r,filter:i,dy:t};return{x:()=>l.a.runKernel(vt.R,s,n),filter:()=>l.a.runKernel(vt.Q,a,n)}}},Zn={kernelName:vt.S,inputsToSave:["a","b"],gradFunc:(t,e)=>{const[n,r]=e,i=de.a(n.shape,r.shape);return{a:()=>{const e=Object(Ft.a)(t,Object(U.a)(r,"float32")),s=de.c(n.shape,i);return s.length>0?Object(on.a)(Object(un.a)(e,s),n.shape):e},b:()=>{let e=Object(zt.a)(t,Object(U.a)(n,"float32"));const s=de.c(r.shape,i);s.length>0&&(e=Object(on.a)(Object(un.a)(e,s),r.shape));const a=Object($t.a)(r);return Object(rn.a)(Object(Ft.a)(e,Object(U.a)(a,"float32")))}}}},tr={kernelName:vt.T,outputsToSave:[!0],gradFunc:(t,e)=>{const[n]=e,r=e=>e.eluDer(t,n),i={dy:t,y:n};return{x:()=>l.a.runKernelFunc(r,i,null,vt.U)}}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */var er=n(40); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const nr={kernelName:vt.W,inputsToSave:["x"],gradFunc:(t,e)=>{const[n]=e,r=Object(zt.a)(Object(er.a)(Object(rn.a)(Object($t.a)(n))),2/Math.sqrt(Math.PI));return{x:()=>Object(zt.a)(t,r)}}},rr={kernelName:vt.X,outputsToSave:[!0],gradFunc:(t,e)=>{const[n]=e;return{x:()=>Object(zt.a)(t,n)}}},ir={kernelName:vt.Y,inputsToSave:["x"],gradFunc:(t,e)=>{const[n]=e;return{x:()=>Object(zt.a)(t,Object(er.a)(n))}}},sr={kernelName:vt.cb,gradFunc:t=>({x:()=>Object(Bt.a)(t)})},ar={kernelName:vt.db,inputsToSave:["a","b"],gradFunc:(t,e)=>{const[n,r]=e,i=Object(de.a)(n.shape,r.shape);return{a:()=>{const e=Object(Ft.a)(t,Object(U.a)(r,"float32")),s=Object(de.c)(n.shape,i);return s.length>0?Object(on.a)(Object(un.a)(e,s),n.shape):e},b:()=>{let e=Object(zt.a)(t,Object(U.a)(n,"float32"));const s=Object(de.c)(r.shape,i);s.length>0&&(e=Object(on.a)(Object(un.a)(e,s),r.shape));const a=Object($t.a)(r);return Object(rn.a)(Object(Ft.a)(e,Object(U.a)(a,"float32")))}}}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */var or=n(181),ur=n(88); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const cr={kernelName:vt.fb,inputsToSave:["x","mean","variance","scale"],gradFunc:(t,e,n)=>{const{varianceEpsilon:r}=n,[i,s,a,o]=e,u=null==o?Object(Vt.a)(1):o,c=Object(de.c)(s.shape,i.shape),l=[];if(1===s.rank){for(let t=0;t1===s.rank?Object(on.a)(Object(zt.a)(Object(zt.a)(t,Object(ur.a)(Object(on.a)(p,[1,1,1,s.shape[0]]),l)),u),i.shape):Object(on.a)(Object(zt.a)(Object(zt.a)(t,p),u),i.shape),mean:()=>{let t=Object(zt.a)(Object(zt.a)(p,Object(Vt.a)(-1)),d);return 1===s.rank&&(t=Object(un.a)(t,c)),Object(on.a)(t,s.shape)},variance:()=>{let t=Object(zt.a)(Object(zt.a)(f,h),d);return 1===s.rank&&(t=Object(un.a)(t,c)),Object(on.a)(t,s.shape)},scale:()=>{const e=Object(zt.a)(h,p);let n=Object(zt.a)(t,e);return 1===s.rank&&(n=Object(un.a)(n,c)),Object(on.a)(n,s.shape)},offset:()=>{let e=t;return 1===s.rank&&(e=Object(un.a)(e,c)),Object(on.a)(e,s.shape)}}}};var lr=n(137); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const hr={kernelName:vt.jb,inputsToSave:["x","indices"],gradFunc:(t,e,n)=>{const[r,i]=e,{axis:s}=n,a=Object(O.I)(s,r.shape)[0];return{x:()=>{const e=r.shape,n=i.size,o=e.slice(0,a),u=o.length,c=e.slice(s,e.length).slice(1),l=c.length,h=dr(0,u),d=dr(u+1,u+1+l),p=pr([o,[n],c]),f=Object(on.a)(t,p),m=Object(on.a)(i,[n]),g=pr([[u],h,d]),b=Object(bt.a)(f,g);let y=Object(lr.a)(b,m,r.shape[a]);const v=Object(he.h)(g);return y=Object(bt.a)(y,v),y},indices:()=>i}}};function dr(t,e){const n=[];for(let r=t;r{const[n,r]=e;return{a:()=>Object(Bt.a)(n),b:()=>Object(Bt.a)(r)}}},mr={kernelName:vt.nb,gradFunc:t=>({x:()=>Object(U.a)(t,"float32")})},gr={kernelName:vt.pb,gradFunc:t=>({x:()=>Object(Bt.a)(t)})},br={kernelName:vt.qb,gradFunc:t=>({x:()=>Object(Bt.a)(t)})},yr={kernelName:vt.rb,gradFunc:t=>({x:()=>Object(Bt.a)(t)})},vr={kernelName:vt.yb,inputsToSave:["x"],gradFunc:(t,e)=>{const[n]=e;return{x:()=>Object(Ft.a)(t,Object(Pt.a)(n,1))}}},wr={kernelName:vt.xb,inputsToSave:["x"],gradFunc:(t,e)=>{const[n]=e;return{x:()=>Object(Ft.a)(t,Object(U.a)(n,"float32"))}}},xr={kernelName:vt.zb,inputsToSave:[],outputsToSave:[!0],gradFunc:(t,e,n)=>{const[r]=e,{axis:i}=n;return{logits:()=>{const e=Object(er.a)(r);return Object(Qt.a)(t,Object(zt.a)(Object(un.a)(t,i,!0),e))}}}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const _r=Object(gt.b)({localResponseNormalizationBackprop_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e,n,r=5,i=1,s=1,a=.5){const o={x:t,y:e,dy:n},u={depthRadius:r,bias:i,alpha:s,beta:a};return l.a.runKernelFunc(o=>o.LRNGrad(n,t,e,r,i,s,a),o,null,vt.tb,u)}}),Or={kernelName:vt.sb,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(t,e,n)=>{const[r,i]=e,{depthRadius:s,bias:a,alpha:o,beta:u}=n;return{x:()=>_r(r,i,t,s,a,o,u)}}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */var Sr=n(82); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function kr(t,e,n,r){return e.rankObject(zt.a)(t,Object(U.a)(Object(Sr.a)(n,e),t.dtype))}} /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Tr={kernelName:vt.Db,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(t,e,n)=>{const r=n,{reductionIndices:i}=r,s=e[0],a=kr(t,e[1],s,O.I(i,s.shape));return{x:()=>a.x()}}};var Cr=n(101); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Ar={kernelName:vt.Jb,inputsToSave:["a","b"],gradFunc:(t,e)=>{const[n,r]=e;return{a:()=>Object(zt.a)(t,Object(U.a)(Object(An.a)(n,r),"float32")),b:()=>Object(zt.a)(t,Object(U.a)(Object(Cr.a)(n,r),"float32"))}}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Nr=Object(gt.b)({maxPool3dBackprop_:function(t,e,n,r,i,s=[1,1,1],a,o){const u=Object(pt.a)(t,"dy","maxPool3dBackprop"),c=Object(pt.a)(e,"input","maxPool3dBackprop"),h=Object(pt.a)(n,"output","maxPool3dBackprop");let d=u,p=c,f=h,m=!1;4===c.rank&&(m=!0,d=Object(on.a)(u,[1,u.shape[0],u.shape[1],u.shape[2],u.shape[3]]),p=Object(on.a)(c,[1,c.shape[0],c.shape[1],c.shape[2],c.shape[3]]),f=Object(on.a)(h,[1,h.shape[0],h.shape[1],h.shape[2],h.shape[3]])),O.b(5===d.rank,()=>"Error in maxPool3dBackprop: dy must be rank 5 but got rank "+d.rank+"."),O.b(5===p.rank,()=>"Error in maxPool3dBackprop: input must be rank 5 but got rank "+p.rank+"."),O.b(5===f.rank,()=>"Error in maxPool3dBackprop: output must be rank 5 but got rank "+f.rank+"."),O.b(fe.h(i,s),()=>`Error in maxPool3dBackprop: Either strides or dilations must be 1. Got strides ${i} and dilations '${s}'`),null!=o&&O.b(O.v(a),()=>`Error in maxPool3dBackprop: pad must be an integer when using, dimRoundingMode ${o} but got pad ${a}.`);const g={dy:d,input:p,output:f},b={filterSize:r,strides:i,dilations:s,pad:a,dimRoundingMode:o},y=l.a.runKernelFunc(t=>{const e=fe.f(p.shape,r,i,s,a,o);return t.maxPool3dBackprop(d,p,f,e)},g,null,vt.Gb,b);return m?Object(on.a)(y,[y.shape[1],y.shape[2],y.shape[3],y.shape[4]]):y}}),Ir={kernelName:vt.Fb,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(t,e,n)=>{const[r,i]=e,{filterSize:s,strides:a,dilations:o,pad:u,dimRoundingMode:c}=n,l=null==o?[1,1,1]:o;return{x:()=>Nr(t,r,i,s,a,l,u,c)}}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Er=Object(gt.b)({maxPoolBackprop_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e,n,r,i,s,a){const o=Object(pt.a)(t,"dy","maxPoolBackprop"),u=Object(pt.a)(e,"input","maxPoolBackprop"),c=Object(pt.a)(n,"output","maxPoolBackprop");O.b(u.rank===o.rank,()=>`Rank of input (${u.rank}) does not match rank of dy (${o.rank})`),O.b(4===o.rank,()=>"Error in maxPoolBackprop: dy must be rank 4 but got rank "+o.rank+"."),O.b(4===u.rank,()=>"Error in maxPoolBackprop: input must be rank 4 but got rank "+u.rank+"."),null!=a&&O.b(O.v(s),()=>`Error in maxPoolBackprop: pad must be an integer when using, dimRoundingMode ${a} but got pad ${s}.`);const h={dy:o,input:u,output:c},d={filterSize:r,strides:i,pad:s,dimRoundingMode:a};return l.a.runKernelFunc(t=>{const e=fe.e(u.shape,r,i,1,s,a);return t.maxPoolBackprop(o,u,c,e)},h,null,vt.Hb,d)}}),jr={kernelName:vt.Eb,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(t,e,n)=>{const[r,i]=e,{filterSize:s,strides:a,pad:o}=n;return{x:()=>Er(t,r,i,s,a,o)}}},Mr={kernelName:vt.Lb,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(t,e,n)=>{const r=n,{axis:i}=r,[s,a]=e,o=kr(t,a,s,O.I(i,s.shape));return{x:()=>o.x()}}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */var Dr=n(46); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Rr={kernelName:vt.Mb,inputsToSave:["a","b"],gradFunc:(t,e)=>{const[n,r]=e;return{a:()=>Object(zt.a)(t,Object(U.a)(Object(Nn.a)(n,r),"float32")),b:()=>Object(zt.a)(t,Object(U.a)(Object(Dr.a)(n,r),"float32"))}}},Pr={kernelName:vt.Nb,inputsToSave:["x"],gradFunc:(t,e,n)=>{const r=e[0],{paddings:i}=n,s=i.map(t=>t[0]);return{x:()=>Object(Ke.a)(t,s,r.shape)}}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */var Fr=n(128); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const zr={kernelName:vt.Ob,inputsToSave:["a","b"],gradFunc:(t,e)=>{const[n,r]=e,i=Object(de.a)(n.shape,r.shape);return{a:()=>{const e=Object(de.c)(n.shape,i);return e.length>0?Object(on.a)(Object(un.a)(t,e),n.shape):t},b:()=>{const e=Object(zt.a)(t,Object(rn.a)(Object(Fr.a)(Object(Ft.a)(n,r)))),s=Object(de.c)(r.shape,i);return s.length>0?Object(on.a)(Object(un.a)(e,s),r.shape):e}}}},Lr={kernelName:vt.Pb,inputsToSave:["a","b"],gradFunc:(t,e)=>{const[n,r]=e,i=Object(de.a)(n.shape,r.shape);return{a:()=>{const e=Object(zt.a)(t,Object(U.a)(r,"float32")),s=Object(de.c)(n.shape,i);return s.length>0?Object(on.a)(Object(un.a)(e,s),n.shape):e},b:()=>{const e=Object(zt.a)(t,Object(U.a)(n,"float32")),s=Object(de.c)(r.shape,i);return s.length>0?Object(on.a)(Object(un.a)(e,s),r.shape):e}}}},$r={kernelName:vt.Qb,gradFunc:t=>({x:()=>Object(rn.a)(t)})},Br={kernelName:vt.Vb,inputsToSave:["indices"],gradFunc:(t,e)=>{const n=e[0];return{indices:()=>Object(le.a)(n.shape,"float32")}}},qr={kernelName:vt.Wb,gradFunc:t=>({x:()=>Object(Bt.a)(t)})},Vr={kernelName:vt.Xb,inputsToSave:["x"],gradFunc:(t,e,n)=>{const r=e[0],{paddings:i}=n,s=i.map(t=>t[0]);return{x:()=>Object(Ke.a)(t,s,r.shape)}}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */var Ur=n(76); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Wr={kernelName:vt.Zb,inputsToSave:["a","b"],outputsToSave:[!0],gradFunc:(t,e)=>{const[n,r,i]=e,s=n,a=r,o=de.a(s.shape,a.shape);return{a:()=>{const e=Object(U.a)(a,"float32");let n=Object(zt.a)(t,Object(zt.a)(e,Object(Kt.a)(s,Object(Qt.a)(e,Object(Vt.a)(1)))));const r=de.c(s.shape,o);return r.length>0&&(n=Object(un.a)(n,r)),Object(on.a)(n,s.shape)},b:()=>{const e=Object(Dr.a)(s,0),n=Object(En.a)(e,Object(Ur.a)(s),Object(Bt.a)(s));let r=Object(zt.a)(t,Object(zt.a)(i,n));const u=de.c(a.shape,o);return u.length>0&&(r=Object(un.a)(r,u)),Object(on.a)(r,a.shape)}}}},Gr={kernelName:vt.ac,inputsToSave:["x","alpha"],gradFunc:(t,e)=>{const[n,r]=e,i=Object(Dr.a)(n,0);return{x:()=>Object(En.a)(i,t,Object(zt.a)(t,r)),alpha:()=>{let e=Object(En.a)(i,Object(Bt.a)(t),Object(zt.a)(t,n));const s=Object(de.c)(r.shape,t.shape);return s.length>0&&(e=Object(un.a)(e,s)),Object(on.a)(e,r.shape)}}}},Hr={kernelName:vt.ec,inputsToSave:["x"],gradFunc:(t,e)=>{const[n]=e;return{x:()=>Object(Ft.a)(t,Object(rn.a)(Object($t.a)(n)))}}},Kr={kernelName:vt.gc,inputsToSave:["x"],gradFunc:(t,e)=>{const[n]=e,r=Object(zt.a)(Object(Nn.a)(n,6),Object(en.a)(n));return{x:()=>Object(zt.a)(t,Object(U.a)(r,"float32"))}}},Qr={kernelName:vt.fc,inputsToSave:["x"],gradFunc:(t,e)=>{const[n]=e;return{x:()=>Object(zt.a)(t,Object(U.a)(Object(en.a)(n),"float32"))}}},Xr={kernelName:vt.hc,inputsToSave:["x"],gradFunc:(t,e)=>{const[n]=e;return{x:()=>Object(on.a)(t,n.shape)}}},Yr={kernelName:vt.ic,inputsToSave:["images"],gradFunc:(t,e,n)=>{const[r]=e,i=e=>{const{alignCorners:i}=n;return e.resizeBilinearBackprop(t,r,i)},s={images:r};return{images:()=>l.a.runKernelFunc(i,s,null,vt.jc,n)}}},Jr={kernelName:vt.kc,inputsToSave:["images"],gradFunc:(t,e,n)=>{const[r]=e,i=e=>{const{alignCorners:i}=n;return e.resizeNearestNeighborBackprop(t,r,i)},s={images:r};return{images:()=>l.a.runKernelFunc(i,s,null,vt.lc,n)}}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */var Zr=n(45); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const ti={kernelName:vt.mc,gradFunc:(t,e,n)=>{const{dims:r}=n,i=Object(O.I)(r,t.shape);return{x:()=>Object(Zr.a)(t,i)}}},ei={kernelName:vt.oc,gradFunc:t=>({x:()=>Object(Bt.a)(t)})},ni={kernelName:vt.pc,inputsToSave:["x"],gradFunc:(t,e)=>{const[n]=e;return{x:()=>Object(rn.a)(Object(Ft.a)(t,Object(zt.a)(Object(Kt.a)(n,1.5),2)))}}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */var ri=n(102); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const ii={kernelName:vt.rc,inputsToSave:["condition"],gradFunc:(t,e)=>{const[n]=e;return{condition:()=>Object(U.a)(Object(Bt.a)(n),"float32"),t:()=>Object(zt.a)(t,Object(U.a)(n,t.dtype)),e:()=>Object(zt.a)(t,Object(U.a)(Object(ri.a)(n),t.dtype))}}},si={kernelName:vt.sc,inputsToSave:["x"],gradFunc:(t,e)=>{const[n]=e;return{x:()=>{const e=Object(Dr.a)(n,Object(Vt.a)(0)),r=Object(Vt.a)(Oe),i=Object(Vt.a)(Se),s=Object(zt.a)(t,i),a=Object(zt.a)(Object(zt.a)(t,r),Object(er.a)(Object(U.a)(n,"float32")));return Object(En.a)(e,s,a)}}}},ai={kernelName:vt.tc,outputsToSave:[!0],gradFunc:(t,e)=>{const[n]=e;return{x:()=>Object(zt.a)(t,Object(zt.a)(n,Object(Qt.a)(Object(Vt.a)(1),n)))}}},oi={kernelName:vt.uc,gradFunc:t=>({x:()=>Object(Bt.a)(t)})}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */var ui=n(125); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const ci={kernelName:vt.vc,inputsToSave:["x"],gradFunc:(t,e)=>{const[n]=e;return{x:()=>Object(zt.a)(Object(ui.a)(Object(U.a)(n,"float32")),t)}}};var li=n(165); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const hi={kernelName:vt.wc,inputsToSave:["x"],gradFunc:(t,e)=>{const[n]=e;return{x:()=>Object(zt.a)(Object(li.a)(Object(U.a)(n,"float32")),t)}}};var di=n(59); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const pi={kernelName:vt.xc,inputsToSave:["x"],gradFunc:(t,e,n)=>{const[r]=e,{begin:i,size:s}=n,a=r.shape,[o,u]=Object(Ct.parseSliceParams)(r,i,s),c=[];for(let e=0;eObject(di.a)(t,c)}}},fi={kernelName:vt.yc,outputsToSave:[!0],gradFunc:(t,e,n)=>{const[r]=e,{dim:i}=n,s=Object(zt.a)(t,r);return{logits:()=>Object(Qt.a)(s,Object(zt.a)(Object(un.a)(s,[i],!0),r))}}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */var mi=n(87); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const gi={kernelName:vt.zc,inputsToSave:["x"],gradFunc:(t,e)=>{const[n]=e;return{x:()=>Object(zt.a)(t,Object(mi.a)(n))}}};var bi=n(98); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const yi={kernelName:vt.Ac,gradFunc:(t,e,n)=>{const{blockShape:r,paddings:i}=n;return{x:()=>Object(bi.a)(t,r,i)}}};var vi=n(32); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const wi={kernelName:vt.Cc,gradFunc:(t,e,n)=>{const{axis:r}=n;return{x:()=>Object(vi.a)(t,r)}}},xi={kernelName:vt.Dc,inputsToSave:["x"],gradFunc:(t,e)=>{const[n]=e;return{x:()=>Object(Ft.a)(t,Object(zt.a)(Object(Lt.a)(Object(U.a)(n,"float32")),2))}}},_i={kernelName:vt.Ec,inputsToSave:["x"],gradFunc:(t,e)=>{const[n]=e;return{x:()=>Object(zt.a)(t,Object(zt.a)(Object(U.a)(n,"float32"),2))}}},Oi={kernelName:vt.Fc,inputsToSave:["a","b"],gradFunc:(t,e)=>{const[n,r]=e,i=Object(Vt.a)(2);return{a:()=>Object(zt.a)(t,Object(zt.a)(i,Object(Qt.a)(n,r))),b:()=>Object(zt.a)(t,Object(zt.a)(i,Object(Qt.a)(r,n)))}}},Si={kernelName:vt.Gc,gradFunc:t=>({x:()=>Object(Bt.a)(t)})},ki={kernelName:vt.Ic,inputsToSave:["a","b"],gradFunc:(t,e)=>{const[n,r]=e,i=de.a(n.shape,r.shape);return{a:()=>{let e=t;const r=de.c(n.shape,i);return r.length>0&&(e=Object(un.a)(e,r)),Object(on.a)(e,n.shape)},b:()=>{let e=t;const n=de.c(r.shape,i);return n.length>0&&(e=Object(un.a)(e,n)),Object(on.a)(Object(rn.a)(e),r.shape)}}}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */var Ti=n(83); /** * @license * Copyright 2020 Google Inc. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Ci={kernelName:vt.Jc,inputsToSave:["x"],gradFunc:(t,e,n)=>{const[r]=e,i=r.shape.slice(),{axis:s}=n;Object(O.I)(s,r.shape).forEach(t=>{i[t]=1});const a=Object(on.a)(t,i),o=Object(zt.a)(a,Object(Ti.a)(r.shape,"float32"));return{x:()=>o}}},Ai={kernelName:vt.Kc,inputsToSave:["x"],gradFunc:(t,e)=>{const[n]=e;return{x:()=>Object(Ft.a)(t,Object($t.a)(Object(ui.a)(n)))}}},Ni={kernelName:vt.Lc,outputsToSave:[!0],gradFunc:(t,e)=>{const[n]=e;return{x:()=>Object(zt.a)(Object(Qt.a)(Object(Vt.a)(1),Object($t.a)(n)),t)}}},Ii={kernelName:vt.Mc,inputsToSave:["x"],gradFunc:(t,e,n)=>{const[r]=e,{reps:i}=n;return{x:()=>{let e=Object(Bt.a)(r);if(1===r.rank)for(let n=0;n{const r=n,{perm:i}=r,s=he.h(i);return{x:()=>Object(bt.a)(t,s)}}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */var ji=n(63); /** * @license * Copyright 2020 Google Inc. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Mi={kernelName:vt.Qc,gradFunc:(t,e,n)=>{const r=n,{axis:i}=r;return{value:()=>Object(ji.a)(t,i)}}};var Di=n(49),Ri=n(99); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const Pi=[nn,sn,an,cn,ln,hn,dn,pn,fn,mn,gn,bn,vn,xn,_n,Sn,kn,Tn,Cn,jn,Dn,Ln,Fn,qn,Un,Gn,Kn,Yn,Jn,Zn,tr,nr,rr,ir,ar,sr,cr,hr,fr,mr,gr,br,yr,vr,wr,xr,Or,Tr,Tr,Ar,Ir,jr,Mr,Rr,Pr,zr,Lr,$r,Br,qr,Vr,Vr,Wr,Gr,Hr,Kr,Qr,Xr,Yr,Jr,ti,ei,ni,ii,si,ai,oi,ci,hi,pi,fi,gi,yi,yi,wi,wi,xi,Oi,_i,Si,ki,Ci,Ai,Ni,Ii,Ei,Mi,{kernelName:vt.Rc,inputsToSave:["segmentIds"],gradFunc:(t,e)=>{const[n]=e;return{x:()=>function(t,e){const n=Object(Jt.a)(e,Object(Bt.a)(e)),r=Object(Ri.a)(t,n);let i=Object(An.a)(e,Object(Vt.a)(0,"int32"));const s=r.rank-i.rank;for(let t=0;t({x:()=>Object(Bt.a)(t)})}]; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */for(const t of Pi)Object(wt.e)(t); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.abs=function(){return this.throwIfDisposed(),Object(Yt.a)(this)};var Fi=n(218); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.acos=function(){return this.throwIfDisposed(),Object(Fi.a)(this)};var zi=n(219); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.acosh=function(){return this.throwIfDisposed(),Object(zi.a)(this)};var Li=n(250); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.addStrict=function(t){return this.throwIfDisposed(),Object(Li.a)(this,t)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.add=function(t){return this.throwIfDisposed(),Object(Pt.a)(this,t)};var $i=n(158); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.all=function(t,e){return this.throwIfDisposed(),Object($i.a)(this,t,e)};var Bi=n(159); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.any=function(t,e){return this.throwIfDisposed(),Object(Bi.a)(this,t,e)};var qi=n(160); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.argMax=function(t){return this.throwIfDisposed(),Object(qi.a)(this,t)};var Vi=n(161); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.argMin=function(t){return this.throwIfDisposed(),Object(Vi.a)(this,t)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.asScalar=function(){return this.throwIfDisposed(),Object(O.b)(1===this.size,()=>"The array must have only 1 element."),Object(on.a)(this,[])}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.asType=function(t){return this.throwIfDisposed(),Object(U.a)(this,t)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.as1D=function(){return this.throwIfDisposed(),Object(on.a)(this,[this.size])}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.as2D=function(t,e){return this.throwIfDisposed(),Object(on.a)(this,[t,e])}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.as3D=function(t,e,n){return this.throwIfDisposed(),Object(on.a)(this,[t,e,n])}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.as4D=function(t,e,n,r){return this.throwIfDisposed(),Object(on.a)(this,[t,e,n,r])}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.as5D=function(t,e,n,r,i){return this.throwIfDisposed(),Object(on.a)(this,[t,e,n,r,i])};var Ui=n(221); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.asin=function(){return this.throwIfDisposed(),Object(Ui.a)(this)};var Wi=n(222); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.asinh=function(){return this.throwIfDisposed(),Object(Wi.a)(this)};var Gi=n(223); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.atan=function(){return this.throwIfDisposed(),Object(Gi.a)(this)};var Hi=n(162); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.atan2=function(t){return this.throwIfDisposed(),Object(Hi.a)(this,t)};var Ki=n(224); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.atanh=function(){return this.throwIfDisposed(),Object(Ki.a)(this)};var Qi=n(124); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.avgPool=function(t,e,n,r){return this.throwIfDisposed(),Object(Qi.a)(this,t,e,n,r)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.batchToSpaceND=function(t,e){return this.throwIfDisposed(),Object(bi.a)(this,t,e)};var Xi=n(86); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.batchNorm=function(t,e,n,r,i){return this.throwIfDisposed(),Object(Xi.a)(this,t,e,n,r,i)};var Yi=n(113); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.broadcastTo=function(t){return this.throwIfDisposed(),Object(Yi.a)(this,t)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.cast=function(t){return this.throwIfDisposed(),Object(U.a)(this,t)};var Ji=n(226); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.ceil=function(){return this.throwIfDisposed(),Object(Ji.a)(this)};var Zi=n(227); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.clipByValue=function(t,e){return this.throwIfDisposed(),Object(Zi.a)(this,t,e)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.concat=function(t,e){return this.throwIfDisposed(),t instanceof H.a&&(t=[t]),Object(vi.a)([this,...t],e)};var ts=n(163); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.conv1d=function(t,e,n,r,i,s){return this.throwIfDisposed(),Object(ts.a)(this,t,e,n,r,i,s)};var es=n(164); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.conv2dTranspose=function(t,e,n,r,i){return this.throwIfDisposed(),Object(es.a)(this,t,e,n,r,i)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.conv2d=function(t,e,n,r,i,s){return this.throwIfDisposed(),Object(zn.a)(this,t,e,n,r,i,s)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.cos=function(){return this.throwIfDisposed(),Object(ui.a)(this)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.cosh=function(){return this.throwIfDisposed(),Object(li.a)(this)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.cumsum=function(t,e,n){return this.throwIfDisposed(),Object(Hn.a)(this,t,e,n)};var ns=n(166); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.depthToSpace=function(t,e){return this.throwIfDisposed(),Object(ns.a)(this,t,e)};var rs=n(81); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.depthwiseConv2D=function(t,e,n,r,i,s){return Object(Rt.b)("depthwiseConv2D is deprecated, use depthwiseConv2d instead"),this.throwIfDisposed(),Object(rs.a)(this,t,e,n,r,i,s)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.depthwiseConv2d=function(t,e,n,r,i,s){return this.throwIfDisposed(),Object(rs.a)(this,t,e,n,r,i,s)};var is=n(167); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.dilation2d=function(t,e,n,r,i){return this.throwIfDisposed(),Object(is.a)(this,t,e,n,r,i)};var ss=n(168); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.divNoNan=function(t){return this.throwIfDisposed(),Object(ss.a)(this,t)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.divStrict=function(t){return this.throwIfDisposed(),Object(Li.b)(this,t)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.div=function(t){return this.throwIfDisposed(),Object(Ft.a)(this,t)};var as=n(169); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.dot=function(t){return this.throwIfDisposed(),Object(as.a)(this,t)};var os=n(127); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.elu=function(){return this.throwIfDisposed(),Object(os.a)(this)};var us=n(249); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.equalStrict=function(t){return this.throwIfDisposed(),Object(us.a)(this,t)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.equal=function(t){return this.throwIfDisposed(),Object(Sr.a)(this,t)};var cs=n(229); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.erf=function(){return this.throwIfDisposed(),Object(cs.a)(this)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.exp=function(){return this.throwIfDisposed(),Object(er.a)(this)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.expandDims=function(t){return this.throwIfDisposed(),Object(Di.a)(this,t)};var ls=n(230); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.expm1=function(){return this.throwIfDisposed(),Object(ls.a)(this)};var hs=n(135); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.fft=function(){return this.throwIfDisposed(),Object(hs.a)(this)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.flatten=function(){return this.throwIfDisposed(),Object(on.a)(this,[this.size])}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.floor=function(){return this.throwIfDisposed(),Object(Fr.a)(this)};var ds=n(122); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.floorDiv=function(t){return this.throwIfDisposed(),Object(ds.a)(this,t)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.gather=function(t,e){return this.throwIfDisposed(),Object(Ri.a)(this,t,e)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.greaterEqualStrict=function(t){return this.throwIfDisposed(),Object(us.b)(this,t)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.greaterEqual=function(t){return this.throwIfDisposed(),Object(An.a)(this,t)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.greaterStrict=function(t){return this.throwIfDisposed(),Object(us.c)(this,t)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.greater=function(t){return this.throwIfDisposed(),Object(Dr.a)(this,t)};var ps=n(116); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.ifft=function(){return this.throwIfDisposed(),Object(ps.a)(this)};var fs=n(186); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.irfft=function(){return this.throwIfDisposed(),Object(fs.a)(this)};var ms=n(231); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.isFinite=function(){return this.throwIfDisposed(),Object(ms.a)(this)};var gs=n(232); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.isInf=function(){return this.throwIfDisposed(),Object(gs.a)(this)};var bs=n(233); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.isNaN=function(){return this.throwIfDisposed(),Object(bs.a)(this)};var ys=n(172); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.leakyRelu=function(t){return this.throwIfDisposed(),Object(ys.a)(this,t)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.lessEqualStrict=function(t){return this.throwIfDisposed(),Object(us.d)(this,t)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.lessEqual=function(t){return this.throwIfDisposed(),Object(Nn.a)(this,t)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.lessStrict=function(t){return this.throwIfDisposed(),Object(us.e)(this,t)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.less=function(t){return this.throwIfDisposed(),Object(Cr.a)(this,t)};var vs=n(173); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.localResponseNormalization=function(t,e,n,r){return this.throwIfDisposed(),Object(vs.a)(this,t,e,n,r)};var ws=n(235); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.logSigmoid=function(){return this.throwIfDisposed(),Object(ws.a)(this)};var xs=n(236); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.logSoftmax=function(t){return this.throwIfDisposed(),Object(xs.a)(this,t)};var _s=n(129); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.logSumExp=function(t,e){return this.throwIfDisposed(),Object(_s.a)(this,t,e)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.log=function(){return this.throwIfDisposed(),Object(Ur.a)(this)};var Os=n(174); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.log1p=function(){return this.throwIfDisposed(),Object(Os.a)(this)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.logicalAnd=function(t){return this.throwIfDisposed(),Object(In.a)(this,t)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.logicalNot=function(){return this.throwIfDisposed(),Object(ri.a)(this)};var Ss=n(130); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.logicalOr=function(t){return this.throwIfDisposed(),Object(Ss.a)(this,t)};var ks=n(176); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.logicalXor=function(t){return this.throwIfDisposed(),Object(ks.a)(this,t)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.matMul=function(t,e,n){return this.throwIfDisposed(),Object(ft.a)(this,t,e,n)};var Ts=n(131); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.maxPool=function(t,e,n,r){return this.throwIfDisposed(),Object(Ts.a)(this,t,e,n,r)};var Cs=n(72); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.max=function(t,e){return this.throwIfDisposed(),Object(Cs.a)(this,t,e)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.maximumStrict=function(t){return this.throwIfDisposed(),Object(Li.c)(this,t)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.maximum=function(t){return this.throwIfDisposed(),Object(Jt.a)(this,t)};var As=n(93); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.mean=function(t,e){return this.throwIfDisposed(),Object(As.a)(this,t,e)};var Ns=n(114); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.min=function(t,e){return this.throwIfDisposed(),Object(Ns.a)(this,t,e)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.minimumStrict=function(t){return this.throwIfDisposed(),Object(Li.d)(this,t)};var Is=n(103); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.minimum=function(t){return this.throwIfDisposed(),Object(Is.a)(this,t)};var Es=n(177); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.mirrorPad=function(t,e){return this.throwIfDisposed(),Object(Es.a)(this,t,e)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.modStrict=function(t){return this.throwIfDisposed(),Object(Li.e)(this,t)};var js=n(132); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.mod=function(t){return this.throwIfDisposed(),Object(js.a)(this,t)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.mulStrict=function(t){return this.throwIfDisposed(),Object(Li.f)(this,t)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.mul=function(t){return this.throwIfDisposed(),Object(zt.a)(this,t)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.neg=function(){return this.throwIfDisposed(),Object(rn.a)(this)};var Ms=n(138); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.norm=function(t,e,n){return this.throwIfDisposed(),Object(Ms.a)(this,t,e,n)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.notEqualStrict=function(t){return this.throwIfDisposed(),Object(us.f)(this,t)};var Ds=n(104); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.notEqual=function(t){return this.throwIfDisposed(),Object(Ds.a)(this,t)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.oneHot=function(t,e=1,n=0){return this.throwIfDisposed(),Object(mt.a)(this,t,e,n)};var Rs=n(240); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.onesLike=function(){return this.throwIfDisposed(),Object(Rs.a)(this)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.pad=function(t,e){return this.throwIfDisposed(),Object(di.a)(this,t,e)};var Ps=n(178); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.pool=function(t,e,n,r,i){return this.throwIfDisposed(),Object(Ps.a)(this,t,e,n,r,i)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.powStrict=function(t){return this.throwIfDisposed(),Object(Li.g)(this,t)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.pow=function(t){return this.throwIfDisposed(),Object(Kt.a)(this,t)};var Fs=n(133); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.prelu=function(t){return this.throwIfDisposed(),Object(Fs.a)(this,t)};var zs=n(179); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.prod=function(t,e){return this.throwIfDisposed(),Object(zs.a)(this,t,e)};var Ls=n(241); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.reciprocal=function(){return this.throwIfDisposed(),Object(Ls.a)(this)};var $s=n(84); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.relu=function(){return this.throwIfDisposed(),Object($s.a)(this)};var Bs=n(134); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.relu6=function(){return this.throwIfDisposed(),Object(Bs.a)(this)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.reshapeAs=function(t){return this.throwIfDisposed(),Object(on.a)(this,t.shape)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.reshape=function(t){return this.throwIfDisposed(),Object(on.a)(this,t)};var qs=n(208); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.resizeBilinear=function(t,e){return this.throwIfDisposed(),Object(qs.a)(this,t,e)};var Vs=n(207); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.resizeNearestNeighbor=function(t,e){return this.throwIfDisposed(),Object(Vs.a)(this,t,e)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.reverse=function(t){return this.throwIfDisposed(),Object(Zr.a)(this,t)};var Us=n(136); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.rfft=function(){return this.throwIfDisposed(),Object(Us.a)(this)};var Ws=n(242); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.round=function(){return this.throwIfDisposed(),Object(Ws.a)(this)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.rsqrt=function(){return this.throwIfDisposed(),Object(or.a)(this)};var Gs=n(182); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.selu=function(){return this.throwIfDisposed(),Object(Gs.a)(this)};var Hs=n(183); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.separableConv2d=function(t,e,n,r,i,s){return this.throwIfDisposed(),Object(Hs.a)(this,t,e,n,r,i,s)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.sigmoid=function(){return this.throwIfDisposed(),Object(mi.a)(this)};var Ks=n(244); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.sign=function(){return this.throwIfDisposed(),Object(Ks.a)(this)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.sin=function(){return this.throwIfDisposed(),Object(Vn.a)(this)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.sinh=function(){return this.throwIfDisposed(),Object(Wn.a)(this)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.slice=function(t,e){return this.throwIfDisposed(),Object(Ke.a)(this,t,e)};var Qs=n(245); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.softmax=function(t){return this.throwIfDisposed(),Object(Qs.a)(this,t)};var Xs=n(175); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.softplus=function(){return this.throwIfDisposed(),Object(Xs.a)(this)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.spaceToBatchND=function(t,e){return this.throwIfDisposed(),Object(On.a)(this,t,e)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.split=function(t,e){return this.throwIfDisposed(),Object(Mn.a)(this,t,e)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.sqrt=function(){return this.throwIfDisposed(),Object(Lt.a)(this)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.square=function(){return this.throwIfDisposed(),Object($t.a)(this)};var Ys=n(106); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.squaredDifference=function(t){return this.throwIfDisposed(),Object(Ys.a)(this,t)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.squaredDifferenceStrict=function(t){return this.throwIfDisposed(),Object(Li.h)(this,t)};var Js=n(107); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.squeeze=function(t){return this.throwIfDisposed(),Object(Js.a)(this,t)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.stack=function(t,e){this.throwIfDisposed();const n=t instanceof H.a?[this,t]:[this,...t];return Object(ji.a)(n,e)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.step=function(t){return this.throwIfDisposed(),Object(en.a)(this,t)};var Zs=n(246); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.stridedSlice=function(t,e,n,r,i,s,a,o){return this.throwIfDisposed(),Object(Zs.a)(this,t,e,n,r,i,s,a,o)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.subStrict=function(t){return this.throwIfDisposed(),Object(Li.i)(this,t)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.sub=function(t){return this.throwIfDisposed(),Object(Qt.a)(this,t)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.sum=function(t,e){return this.throwIfDisposed(),Object(un.a)(this,t,e)};var ta=n(247); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.tan=function(){return this.throwIfDisposed(),Object(ta.a)(this)};var ea=n(149); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.tanh=function(){return this.throwIfDisposed(),Object(ea.a)(this)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.tile=function(t){return this.throwIfDisposed(),Object(ur.a)(this,t)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.toBool=function(){return this.throwIfDisposed(),Object(U.a)(this,"bool")}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.toFloat=function(){return this.throwIfDisposed(),Object(U.a)(this,"float32")}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.toInt=function(){return this.throwIfDisposed(),Object(U.a)(this,"int32")};var na=n(189); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.topk=function(t,e){return this.throwIfDisposed(),Object(na.a)(this,t,e)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.transpose=function(t){return this.throwIfDisposed(),Object(bt.a)(this,t)};var ra=n(190); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.unique=function(t){return this.throwIfDisposed(),Object(ra.a)(this,t)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.unsortedSegmentSum=function(t,e){return this.throwIfDisposed(),Object(lr.a)(this,t,e)};var ia=n(108); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */H.a.prototype.unstack=function(t){return this.throwIfDisposed(),Object(ia.a)(this,t)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.where=function(t,e){return this.throwIfDisposed(),Object(En.a)(t,this,e)}, /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ H.a.prototype.zerosLike=function(){return this.throwIfDisposed(),Object(Bt.a)(this)}},function(t,e,n){"use strict";n.d(e,"c",(function(){return u})),n.d(e,"a",(function(){return l})),n.d(e,"b",(function(){return h}));var r=n(5),i=n(26),s=n(6),a=n(7),o=n(10); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function u(t,e){let n=t;if(Object(a.A)(t))return"string"===e?[]:[t.length];if(!Array.isArray(t))return[];const r=[];for(;Array.isArray(n)||Object(a.A)(n)&&"string"!==e;)r.push(n.length),n=n[0];return Array.isArray(t)&&Object(i.c)().getBool("TENSORLIKE_CHECK_SHAPE_CONSISTENCY")&&function t(e,n,r){if(r=r||[],!Array.isArray(e)&&!Object(a.A)(e))return void Object(a.b)(0===n.length,()=>`Element arr[${r.join("][")}] is a primitive, but should be an array/TypedArray of ${n[0]} elements`);Object(a.b)(n.length>0,()=>`Element arr[${r.join("][")}] should be a primitive, but is an array of ${e.length} elements`),Object(a.b)(e.length===n[0],()=>`Element arr[${r.join("][")}] should have ${n[0]} elements, but has ${e.length} elements`);const i=n.slice(1);for(let n=0;n=0&&(l=i),c(i,l,e,n),null==t||!Object(a.A)(t)&&!Array.isArray(t)&&"number"!=typeof t&&"boolean"!=typeof t&&"string"!=typeof t){const r=null==t?"null":t.constructor.name;throw new Error(`Argument '${e}' passed to '${n}' must be a Tensor or TensorLike, but got '${r}'`)}const h=u(t,l);Object(a.A)(t)||Array.isArray(t)||(t=[t]);const d="string"!==l?Object(o.toTypedArray)(t,l):Object(a.m)(t,[],!0);return r.a.makeTensor(d,h,l)}function h(t,e,n,r="numeric"){if(!Array.isArray(t))throw new Error(`Argument ${e} passed to ${n} must be a \`Tensor[]\` or \`TensorLike[]\``);return t.map((t,r)=>l(t,`${e}[${r}]`,n),r)}},function(t,e,n){"use strict";n.d(e,"d",(function(){return i})),n.d(e,"e",(function(){return s})),n.d(e,"f",(function(){return a})),n.d(e,"b",(function(){return o})),n.d(e,"g",(function(){return c})),n.d(e,"c",(function(){return l})),n.d(e,"a",(function(){return h}));var r=n(0); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function i(t,e,n,i,a){const o=e.inputParams[t];if(o&&void 0!==o.inputIndexStart){const t=o.inputIndexStart,u=0===o.inputIndexEnd?void 0:void 0===o.inputIndexEnd?t+1:o.inputIndexEnd;if("tensor"===o.type)return s(e.inputNames[o.inputIndexStart],n,i,a);if("tensors"===o.type){return e.inputNames.slice(t,u).map(t=>s(t,n,i,a))}const 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strict";n.d(e,"a",(function(){return s})),n.d(e,"b",(function(){return a}));var r=n(5),i=n(7); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const s="__op";function a(t){const e=Object.keys(t);if(1!==e.length)throw new Error("Please provide an object with a single key (operation name) mapping to a function. Got an object with "+e.length+" keys.");let n=e[0];const a=t[n];n.endsWith("_")&&(n=n.substring(0,n.length-1)),n+=s;const o=(...t)=>{r.a.startScope(n);try{const e=a(...t);return Object(i.x)(e)&&console.error("Cannot return a Promise inside of tidy."),r.a.endScope(e),e}catch(t){throw r.a.endScope(null),t}};return Object.defineProperty(o,"name",{value:n,configurable:!0}),o}},function(t,e,n){"use strict";n.d(e,"b",(function(){return b})),n.d(e,"a",(function(){return y}));var r=n(147),i=n(26),s=n(151),a=n(3),o=n(74),u=n(7); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ class c{constructor(t,e){this.backendTimer=t,this.logger=e,null==e&&(this.logger=new h)}profileKernel(t,e,n){let r;const i=this.backendTimer.time(()=>{r=n()});for(let e=0;e{l(e,n.dtype,t)})}return{kernelName:t,outputs:r,inputs:e,timeMs:i.then(t=>t.kernelMs),extraInfo:i.then(t=>null!=t.getExtraProfileInfo?t.getExtraProfileInfo():"")}}logKernelProfile(t){const{kernelName:e,outputs:n,timeMs:r,inputs:i,extraInfo:s}=t;n.forEach(t=>{Promise.all([t.data(),r,s]).then(n=>{this.logger.logKernelProfile(e,t,n[0],n[1],i,n[2])})})}}function l(t,e,n){if("float32"!==e)return!1;for(let e=0;e0?r:""} `}}console.log(`%c${o}\t%c${a}\t%c${c}D ${h}\t%c${l}\t%c${d}\t%c${s}`,"font-weight:bold","color:red","color:blue","color: orange","color: green","color: steelblue")}} /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */var d=n(6),p=n(25),f=n(10); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ class m{constructor(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null}}dispose(){for(const t in this.registeredVariables)this.registeredVariables[t].dispose()}}class g{constructor(t){this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new m}async ready(){if(null!=this.pendingBackendInit)return this.pendingBackendInit.then(()=>{});if(null!=this.backendInstance)return;const t=this.getSortedBackends();for(let e=0;e{null!=t.setupFunc&&t.setupFunc(this.backendInstance)})}disposeRegisteredKernels(t){Object(o.d)(t).forEach(e=>{null!=e.disposeFunc&&e.disposeFunc(this.registry[t])})}initializeBackend(t){const e=this.registryFactory[t];if(null==e)throw new Error(`Cannot initialize backend ${t}, no registration found.`);try{const n=e.factory();if(!n||n instanceof r.b||"function"!=typeof n.then)return this.registry[t]=n,{success:!0,asyncInit:!1};{const e=++this.pendingBackendInitId,r=n.then(n=>!(e(ethis.registryFactory[e].priority-this.registryFactory[t].priority)}initializeBackendsAndReturnBest(){const t=this.getSortedBackends();for(let e=0;ethis.startScope(r),()=>this.endScope(n),()=>(n=e(),n instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n))}scopedRun(t,e,n){t();try{const t=n();return e(),t}catch(t){throw e(),t}}nextTensorId(){return g.nextTensorId++}nextVariableId(){return g.nextVariableId++}clone(t){const e=this.makeTensorFromDataId(t.dataId,t.shape,t.dtype),n={x:t};return this.addTapeNode(this.state.activeScope.name,n,[e],t=>({x:()=>{const e={x:t},n={dtype:"float32"};return y.runKernelFunc(e=>e.cast(t,"float32"),e,null,a.v,n)}}),[],{}),e}runKernel(t,e,n,r,i){return this.runKernelFunc(null,e,null,t,n,r,i)}shouldCheckForMemLeaks(){return this.ENV.getBool("IS_TEST")}checkKernelForMemLeak(t,e,n){const r=this.backend.numDataIds();let i=0;n.forEach(t=>{i+="complex64"===t.dtype?3:1});const s=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],a=r-e-i-s;if(a>0)throw new Error(`Backend '${this.backendName}' has an internal memory leak (${a} data ids) after running '${t}'`)}runKernelFunc(t,e,n,r,i,s,a){let u,c=[];const l=this.isTapeOn();null==r&&(r=null!=this.state.activeScope?this.state.activeScope.name:"");const h=this.state.numBytes,d=this.state.numTensors;let p;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);const f=Object(o.c)(r,this.backendName);let m,g;if(null!=f)p=()=>{const t=this.backend.numDataIds();m=f.kernelFunc({inputs:e,attrs:i,backend:this.backend});const n=Array.isArray(m)?m:[m];this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(r,t,n);const o=n.map(({dataId:t,shape:e,dtype:n})=>this.makeTensorFromDataId(t,e,n));if(l){let t=this.getTensorsForGradient(r,e,o);if(null==t){null==a&&(a=[]);const e=o.filter((t,e)=>a[e]);t=(s||[]).slice().concat(e)}c=this.saveTensorsForBackwardMode(t)}return o};else{const e=t=>{l&&(c=t.map(t=>this.keep(this.clone(t))))};p=()=>{const n=this.backend.numDataIds();m=this.tidy(()=>t(this.backend,e));const i=Array.isArray(m)?m:[m];return this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(r,n,i),i}}return this.scopedRun(()=>this.state.kernelDepth++,()=>this.state.kernelDepth--,()=>{this.ENV.getBool("DEBUG")||this.state.profiling?(g=this.profiler.profileKernel(r,e,()=>p()),this.ENV.getBool("DEBUG")&&this.profiler.logKernelProfile(g),u=g.outputs):u=p()}),l&&this.addTapeNode(r,e,u,n,c,i),this.state.profiling&&this.state.activeProfile.kernels.push({name:r,bytesAdded:this.state.numBytes-h,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-d,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(e).map(t=>null!=e[t]?e[t].shape:null),outputShapes:u.map(t=>t.shape),kernelTimeMs:g.timeMs,extraInfo:g.extraInfo}),Array.isArray(m)?u:u[0]}saveTensorsForBackwardMode(t){return t.map(t=>this.keep(this.clone(t)))}getTensorsForGradient(t,e,n){const r=Object(o.b)(t);if(null!=r){const t=r.inputsToSave||[],i=r.outputsToSave||[];let s;r.saveAllInputs?(u.b(Array.isArray(e),()=>"saveAllInputs is true, expected inputs to be an array."),s=Object.keys(e).map(t=>e[t])):s=t.map(t=>e[t]);const a=n.filter((t,e)=>i[e]);return s.concat(a)}return null}makeTensor(t,e,n,r){if(null==t)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",r=r||this.backend;let i=t;"string"===n&&u.z(t[0])&&(i=t.map(t=>f.encodeString(t)));const s=r.write(i,e,n),a=new d.a(e,n,s,this.nextTensorId());if(this.incRef(a,r),"string"===n){const t=this.state.tensorInfo.get(s),e=Object(u.f)(i);this.state.numBytes+=e-t.bytes,t.bytes=e}return a}makeTensorFromDataId(t,e,n,r){n=n||"float32";const i=new d.a(e,n,t,this.nextTensorId());return this.incRef(i,r),i}makeVariable(t,e=!0,n,r){n=n||this.nextVariableId().toString(),null!=r&&r!==t.dtype&&(t=t.cast(r));const i=new d.c(t,e,n,this.nextTensorId());if(null!=this.state.registeredVariables[i.name])throw new Error(`Variable with name ${i.name} was already registered`);return this.state.registeredVariables[i.name]=i,this.incRef(i,this.backend),i}incRef(t,e){const n=this.state.tensorInfo.has(t.dataId)?this.state.tensorInfo.get(t.dataId).refCount:0;if(this.state.numTensors++,"string"===t.dtype&&this.state.numStringTensors++,0===n){this.state.numDataBuffers++;let n=0;"complex64"!==t.dtype&&"string"!==t.dtype&&(n=t.size*u.g(t.dtype)),this.state.tensorInfo.set(t.dataId,{backend:e||this.backend,dtype:t.dtype,shape:t.shape,bytes:n,refCount:0}),this.state.numBytes+=n}this.state.tensorInfo.get(t.dataId).refCount++,t instanceof d.c||this.track(t)}disposeTensor(t){if(!this.state.tensorInfo.has(t.dataId))return;this.state.numTensors--,"string"===t.dtype&&this.state.numStringTensors--;const e=this.state.tensorInfo.get(t.dataId);e.refCount<=1?("complex64"!==t.dtype&&(this.state.numBytes-=e.bytes),this.state.numDataBuffers--,e.backend.disposeData(t.dataId),this.state.tensorInfo.delete(t.dataId)):this.state.tensorInfo.get(t.dataId).refCount--}disposeVariables(){for(const t in this.state.registeredVariables){const e=this.state.registeredVariables[t];this.disposeVariable(e)}}disposeVariable(t){this.disposeTensor(t),null!=this.state.registeredVariables[t.name]&&delete this.state.registeredVariables[t.name]}memory(){const t=this.backend.memory();return t.numTensors=this.state.numTensors,t.numDataBuffers=this.state.numDataBuffers,t.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(t.unreliable=!0,null==t.reasons&&(t.reasons=[]),t.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),t}async profile(t){this.state.profiling=!0;const e=this.state.numBytes,n=this.state.numTensors;this.state.activeProfile.kernels=[],this.state.activeProfile.result=await t(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max(...this.state.activeProfile.kernels.map(t=>t.totalBytesSnapshot)),this.state.activeProfile.newBytes=this.state.numBytes-e,this.state.activeProfile.newTensors=this.state.numTensors-n;for(const t of this.state.activeProfile.kernels)t.kernelTimeMs=await t.kernelTimeMs,t.extraInfo=await t.extraInfo;return this.state.activeProfile}isTapeOn(){return this.state.gradientDepth>0&&0===this.state.kernelDepth}addTapeNode(t,e,n,r,i,s){const a={id:this.state.nextTapeNodeId++,kernelName:t,inputs:e,outputs:n,saved:i},c=Object(o.b)(t);null!=c&&(r=c.gradFunc),null!=r&&(a.gradient=t=>(t=t.map((t,e)=>{if(null==t){const t=n[e],r=u.F(t.size,t.dtype);return this.makeTensor(r,t.shape,t.dtype)}return t}),r(t.length>1?t:t[0],i,s))),this.state.activeTape.push(a)}keep(t){return t.kept=!0,t}startTape(){0===this.state.gradientDepth&&(this.state.activeTape=[]),this.state.gradientDepth++}endTape(){this.state.gradientDepth--}startScope(t){const e={track:[],name:"unnamed scope",id:this.state.nextScopeId++};t&&(e.name=t),this.state.scopeStack.push(e),this.state.activeScope=e}endScope(t){const e=Object(p.getTensorsInContainer)(t),n=new Set(e.map(t=>t.id));for(let t=0;t{t.kept||t.scopeId!==r.id||this.track(t)})}gradients(t,e,n,r=!1){if(u.b(e.length>0,()=>"gradients() received an empty list of xs."),null!=n&&"float32"!==n.dtype)throw new Error(`dy must have 'float32' dtype, but has '${n.dtype}'`);const i=this.scopedRun(()=>this.startTape(),()=>this.endTape(),()=>this.tidy("forward",t));u.b(i instanceof d.a,()=>"The result y returned by f() must be a tensor.");const s=function(t,e,n){const r={},i={};for(let t=0;tr[t.id]=!0),o=!0,i[s.id]=!0;break}if(o)break}}const s={};s[n.id]=!0;const a={};for(let e=t.length-1;e>=0;e--){const n=t[e],r=n.inputs;for(let t=0;t0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",()=>{const t={};t[i.id]=null==n?function(t){const e=Object(u.D)(Object(u.N)(t),"float32");return y.makeTensor(e,t,"float32")}(i.shape):n,function(t,e,n,r){for(let i=e.length-1;i>=0;i--){const s=e[i],a=[];if(s.outputs.forEach(e=>{const n=t[e.id];null!=n?a.push(n):a.push(null)}),null==s.gradient)throw new Error(`Cannot compute gradient: gradient function not found for ${s.kernelName}.`);const o=s.gradient(a);for(const e in s.inputs){if(!(e in o))throw new Error(`Cannot backprop through input ${e}. Available gradients found: ${Object.keys(o)}.`);const i=n(()=>o[e]());if("float32"!==i.dtype)throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input ${e} must have 'float32' dtype, but has '${i.dtype}'`);const a=s.inputs[e];if(!u.a(i.shape,a.shape))throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input '${e}' has shape '${i.shape}', which does not match the shape of the input '${a.shape}'`);if(null==t[a.id])t[a.id]=i;else{const e=t[a.id];t[a.id]=r(e,i),e.dispose()}}}}(t,s,t=>this.tidy(t),v);const r=e.map(e=>t[e.id]);return 0===this.state.gradientDepth&&(this.state.activeTape.forEach(t=>{for(const e of t.saved)e.dispose()}),this.state.activeTape=null),{value:i,grads:r}})}customGrad(t){return u.b(u.u(t),()=>"The f passed in customGrad(f) must be a function."),(...e)=>{let n;u.b(e.every(t=>t instanceof d.a),()=>"The args passed in customGrad(f)(x1, x2,...) must all be tensors");const r={};return e.forEach((t,e)=>{r[e]=t}),this.runKernelFunc((r,i)=>(n=t(...e,i),u.b(n.value instanceof d.a,()=>"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"),u.b(u.u(n.gradFunc),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."),n.value),r,(t,r)=>{const i=n.gradFunc(t,r),s=Array.isArray(i)?i:[i];u.b(s.length===e.length,()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."),u.b(s.every(t=>t instanceof d.a),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.");const a={};return s.forEach((t,e)=>{a[e]=()=>t}),a})}}readSync(t){return this.state.tensorInfo.get(t).backend.readSync(t)}read(t){return this.state.tensorInfo.get(t).backend.read(t)}async time(t){const e=Object(f.now)(),n=await this.backend.time(t);return n.wallMs=Object(f.now)()-e,n}track(t){return null!=this.state.activeScope&&(t.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(t)),t}get registeredVariables(){return this.state.registeredVariables}reset(){this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new m;for(const t in this.registry)this.disposeRegisteredKernels(t),this.registry[t].dispose(),delete this.registry[t];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null}}function b(){const t=Object(s.b)();if(null==t._tfengine){const e=new i.b(t);t._tfengine=new g(e)}return Object(i.d)(t._tfengine.ENV),Object(d.f)(()=>t._tfengine),t._tfengine}g.nextTensorId=0,g.nextVariableId=0;const y=b();function v(t,e){const n={a:t,b:e};return y.runKernelFunc((n,r)=>{const i=n.add(t,e);return r([t,e]),i},n,null,a.d)}},function(t,e,n){"use strict";n.d(e,"b",(function(){return c})),n.d(e,"f",(function(){return p})),n.d(e,"e",(function(){return f})),n.d(e,"d",(function(){return m})),n.d(e,"a",(function(){return g})),n.d(e,"c",(function(){return b}));var r=n(7); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function i(t,e,n,i){const u=Object(r.j)(e),c=function(t,e,n,i){const a=Object(r.N)(e),u=i[i.length-1],c=new Array(u).fill(0),l=e.length,h="complex64"===n?o(t):t;if(l>1)for(let t=0;t20){const t=3*l;let n=Array.from(e.slice(0,t)),i=Array.from(e.slice((h-3)*l,h*l));return"complex64"===r&&(n=o(n),i=o(i)),["["+n.map((t,e)=>s(t,u[e],r)).join(", ")+", ..., "+i.map((t,e)=>s(t,u[h-3+e],r)).join(", ")+"]"]}return["["+("complex64"===r?o(e):Array.from(e)).map((t,e)=>s(t,u[e],r)).join(", ")+"]"]}const p=n.slice(1),f=i.slice(1),m=i[0]*l,g=[];if(h>20){for(let n=0;n<3;n++){const i=n*m,s=i+m;g.push(...t(e.slice(i,s),p,r,f,u,!1))}g.push("...");for(let n=h-3;n" "+t).join("\n")),d.join("\n")}function s(t,e,n){let i;return i=Array.isArray(t)?parseFloat(t[0].toFixed(7))+" + "+parseFloat(t[1].toFixed(7))+"j":Object(r.z)(t)?`'${t}'`:"bool"===n?a(t):parseFloat(t.toFixed(7)).toString(),Object(r.L)(i,e)}function a(t){return 0===t?"false":"true"}function o(t){const e=[];for(let n=0;n`Length of values '${t}' does not match the size inferred by the shape '${this.size}'.`)}if("complex64"===e)throw new Error("complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).");this.values=n||r.n(e,this.size),this.strides=Object(r.j)(t)}set(t,...e){0===e.length&&(e=[0]),r.b(e.length===this.rank,()=>`The number of provided coordinates (${e.length}) must match the rank (${this.rank})`);const n=this.locToIndex(e);this.values[n]=t}get(...t){0===t.length&&(t=[0]);let e=0;for(const n of t){if(n<0||n>=this.shape[e]){const e=`Requested out of range element at ${t}. Buffer shape=`+this.shape;throw new Error(e)}e++}let n=t[t.length-1];for(let e=0;eu.decodeString(t))}catch(t){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}}return t}dataSync(){this.throwIfDisposed();const t=l().readSync(this.dataId);if("string"===this.dtype)try{return t.map(t=>u.decodeString(t))}catch(t){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return t}async bytes(){this.throwIfDisposed();const t=await l().read(this.dataId);return"string"===this.dtype?t:new Uint8Array(t.buffer)}dispose(){this.isDisposed||(l().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error("Tensor is disposed.")}print(t=!1){return h.print(this,t)}clone(){return this.throwIfDisposed(),h.clone(this)}toString(t=!1){return i(this.dataSync(),this.shape,this.dtype,t)}cast(t){return this.throwIfDisposed(),h.cast(this,t)}variable(t=!0,e,n){return this.throwIfDisposed(),l().makeVariable(this,t,e,n)}}Object.defineProperty(g,Symbol.hasInstance,{value:t=>!!t&&null!=t.data&&null!=t.dataSync&&null!=t.throwIfDisposed});class b extends g{constructor(t,e,n,r){super(t.shape,t.dtype,t.dataId,r),this.trainable=e,this.name=n}assign(t){if(t.dtype!==this.dtype)throw new Error(`dtype of the new value (${t.dtype}) and previous value (${this.dtype}) must match`);if(!r.a(t.shape,this.shape))throw new Error(`shape of the new value (${t.shape}) and previous value (${this.shape}) must match`);l().disposeTensor(this),this.dataId=t.dataId,l().incRef(this,null)}dispose(){l().disposeVariable(this),this.isDisposedInternal=!0}}Object.defineProperty(b,Symbol.hasInstance,{value:t=>t instanceof g&&null!=t.assign&&t.assign instanceof Function})},function(t,e,n){"use strict"; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function r(t){let e=t.length,n=0,r=0;for(;e>0;)r=Math.random()*e|0,e--,n=t[e],t[e]=t[r],t[r]=n}function i(t,e,n){return Math.max(t,Math.min(e,n))}function s(t){return t%2==0?t:t+1}function a(t){let e=0;for(let n=0;nn+` Shapes ${t} and ${e} must match`)}function h(t){c(null!=t,()=>"The input to the tensor constructor must be a non-null value.")}function d(t,e=[],n=!1){if(null==e&&(e=[]),Array.isArray(t)||I(t)&&!n)for(let r=0;r0),n){return new Promise((r,i)=>{let s=0;const a=()=>{if(t())return void r();s++;const o=e(s);null!=n&&s>=n?i():setTimeout(a,o)};a()})}function _(t,e){let n=1,r=-1;for(let e=0;e=0)n*=t[e];else if(-1===t[e]){if(-1!==r)throw Error(`Shapes can only have 1 implicit size. Found -1 at dim ${r} and dim ${e}`);r=e}else if(t[e]<0)throw Error(`Shapes can not be < 0. Found ${t[e]} at dim ${e}`);if(-1===r){if(e>0&&e!==n)throw Error(`Size(${e}) must match the product of shape ${t}`);return t}if(0===n)throw Error(`Cannot infer the missing size in [${t}] when there are 0 elements`);if(e%n!=0)throw Error(`The implicit shape can't be a fractional number. 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All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function s(t,e){return"string"===e?c(t):a([t],e)}function a(t,e){if("string"===e)throw new Error("Cannot convert a string[] to a TypedArray");if(Array.isArray(t)&&(t=i.m(t)),Object(r.c)().getBool("DEBUG")&&i.h(t,e),function(t,e){return t instanceof Float32Array&&"float32"===e||t instanceof Int32Array&&"int32"===e||t instanceof Uint8Array&&"bool"===e}(t,e))return t;if(null==e||"float32"===e||"complex64"===e)return new Float32Array(t);if("int32"===e)return new Int32Array(t);if("bool"===e){const e=new Uint8Array(t.length);for(let n=0;n{null!=t&&r.util.assert("complex64"!==t.dtype,()=>e+" does not support complex64 tensors in the CPU backend.")})}},function(t,e,n){"use strict";n.d(e,"a",(function(){return u}));var r=n(5),i=n(3),s=n(1),a=n(7),o=n(4);const u=Object(o.b)({cast_: /** * @license * Copyright 2020 Google Inc. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e){const n=Object(s.a)(t,"x","cast");if(!a.B(e))throw new Error("Failed to cast to unknown dtype "+e);if("string"===e&&"string"!==n.dtype||"string"!==e&&"string"===n.dtype)throw new Error("Only strings can be casted to strings");const o={x:n},u={dtype:e};return r.a.runKernelFunc(t=>t.cast(n,e),o,null,i.v,u)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return u}));var r=n(5),i=n(3),s=n(25),a=n(1),o=n(4);const u=Object(o.b)({add_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e){let n=Object(a.a)(t,"a","add"),o=Object(a.a)(e,"b","add");[n,o]=Object(s.makeTypesMatch)(n,o);const u={a:n,b:o};return r.a.runKernelFunc((t,e)=>{const r=t.add(n,o);return e([n,o]),r},u,null,i.d)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return u}));var r=n(5),i=n(3),s=n(25),a=n(1),o=n(4);const u=Object(o.b)({sub_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e){let n=Object(a.a)(t,"a","sub"),o=Object(a.a)(e,"b","sub");[n,o]=Object(s.makeTypesMatch)(n,o);const u={a:n,b:o};return r.a.runKernelFunc((t,e)=>{const r=t.subtract(n,o);return e([n,o]),r},u,null,i.Ic)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return s}));var r=n(7),i=n(47); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function s(t,e){if((Object(r.A)(t)&&"string"!==e||Array.isArray(t))&&"complex64"!==e)throw new Error("Error creating a new Scalar: value must be a primitive (number|boolean|string)");if("string"===e&&Object(r.A)(t)&&!(t instanceof Uint8Array))throw new Error("When making a scalar from encoded string, the value must be `Uint8Array`.");return Object(i.a)(t,[],[],e)}},function(t,e,n){"use strict";n.d(e,"a",(function(){return c}));var r=n(5),i=n(3),s=n(25),a=n(1),o=n(122),u=n(4);const c=Object(u.b)({div_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e){let n=Object(a.a)(t,"a","div"),u=Object(a.a)(e,"b","div");if([n,u]=Object(s.makeTypesMatch)(n,u),"int32"===n.dtype&&"int32"===u.dtype)return Object(o.a)(n,u);const c={a:n,b:u};return r.a.runKernelFunc((t,e)=>{const r=t.realDivide(n,u);return e([n,u]),r},c,null,i.S,{})}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return s})),n.d(e,"b",(function(){return a}));var r=n(0),i=n(11); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function s(t,e,n){return({inputs:s,attrs:a,backend:o})=>{const{x:u}=s;if(Object(i.a)(u,t),"string"===u.dtype||"string"===n)throw new Error("unaryKernelFunc does not support string input/output");const c=o,l=c.data.get(u.dataId).values,h=r.util.sizeFromShape(u.shape),d=n||u.dtype,p=r.util.getArrayFromDType(d,h);for(let t=0;t{const{x:o}=r;if(Object(i.a)(o,t),"string"===o.dtype||"string"===n)throw new Error("unaryKernelFunc does not support string input/output");const u=a,c=u.data.get(o.dataId).values,l=n||o.dtype,h=e(c,l,s);return u.makeTensorInfo(o.shape,l,h)}}},function(t,e,n){"use strict"; /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function r(t,e){const n=t.length,r=[];for(let i=0;i1&&1===a&&r.unshift(s)}return r}function i(t,e){const n=[];for(let r=0;r1)&&n.unshift(s)}return n}function s(t,e){const n=[],r=Math.max(t.length,e.length);for(let i=0;i"Error in batchNorm2D: x must be rank 2 but got rank "+a.rank+"."),E.b(2===o.rank||1===o.rank,()=>`Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank ${o.rank}.`),E.b(2===u.rank||1===u.rank,()=>`Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank ${u.rank}.`),null!=c&&E.b(2===c.rank||1===c.rank,()=>`Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank ${c.rank}.`),null!=l&&E.b(2===l.rank||1===l.rank,()=>`Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank ${l.rank}.`),Object(I.a)(a,o,u,l,c,s)}});const M=Object(S.b)({batchNorm3d_:function(t,e,n,r,i,s){const a=Object(w.a)(t,"x","batchNorm"),o=Object(w.a)(e,"mean","batchNorm"),u=Object(w.a)(n,"variance","batchNorm");let c,l;return null!=i&&(c=Object(w.a)(i,"scale","batchNorm")),null!=r&&(l=Object(w.a)(r,"offset","batchNorm")),E.b(3===a.rank,()=>"Error in batchNorm3D: x must be rank 3 but got rank "+a.rank+"."),E.b(3===o.rank||1===o.rank,()=>`Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank ${o.rank}.`),E.b(3===u.rank||1===u.rank,()=>`Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank ${u.rank}.`),null!=c&&E.b(3===c.rank||1===c.rank,()=>`Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank ${c.rank}.`),null!=l&&E.b(3===l.rank||1===l.rank,()=>`Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank ${l.rank}.`),Object(I.a)(a,o,u,l,c,s)}});const D=Object(S.b)({batchNorm4d_:function(t,e,n,r,i,s){const a=Object(w.a)(t,"x","batchNorm"),o=Object(w.a)(e,"mean","batchNorm"),u=Object(w.a)(n,"variance","batchNorm");let c,l;return null!=i&&(c=Object(w.a)(i,"scale","batchNorm")),null!=r&&(l=Object(w.a)(r,"offset","batchNorm")),E.b(4===a.rank,()=>"Error in batchNorm4D: x must be rank 4 but got rank "+a.rank+"."),E.b(4===o.rank||1===o.rank,()=>`Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank ${o.rank}.`),E.b(4===u.rank||1===u.rank,()=>`Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank ${u.rank}.`),null!=c&&E.b(4===c.rank||1===c.rank,()=>`Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank ${c.rank}.`),null!=l&&E.b(4===l.rank||1===l.rank,()=>`Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank ${l.rank}.`),Object(I.a)(a,o,u,l,c,s)}});var R=n(113),P=n(39),F=n(12),z=n(226),L=n(227),$=n(71),B=n(51);const q=Object(S.b)({concat1d_:function(t){return Object(x.a)(t,0)}});const V=Object(S.b)({concat2d_:function(t,e){return Object(x.a)(t,e)}});const U=Object(S.b)({concat3d_:function(t,e){return Object(x.a)(t,e)}});const W=Object(S.b)({concat4d_:function(t,e){return Object(x.a)(t,e)}});var G=n(163),H=n(69),K=n(164),Q=n(228),X=n(206);const Y=Object(S.b)({conv3dTranspose_:function(t,e,n,r,i){const s=Object(w.a)(t,"x","conv3dTranspose"),a=Object(w.a)(e,"filter","conv3dTranspose");return Object(X.a)(n,s,a,r,i)}});var J=n(125),Z=n(165),tt=n(126),et=n(166),nt=n(81),rt=n(5),it=n(3),st=n(8);const at=Object(S.b)({diag_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t){const e=Object(w.a)(t,"x","diag"),n={x:e};return rt.a.runKernelFunc(n=>{const r=Object(st.a)(e,[e.size]),i=n.diag(r),s=[...t.shape,...t.shape];return Object(st.a)(i,s)},n,null,it.O)}});var ot=n(167),ut=n(16),ct=n(168),lt=n(169),ht=n(127),dt=n(82),pt=n(229),ft=n(40),mt=n(49),gt=n(230),bt=n(88);const yt=Object(S.b)({eye_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e,n,r="float32"){null==e&&(e=t);const i=Object(P.a)([t,e],r),s=t<=e?t:e;for(let t=0;t`Error in outerProduct: inputs must be rank 1, but got ranks ${n.rank} and ${r.rank}.`);const i=Object(st.a)(n,[-1,1]),s=Object(st.a)(r,[1,-1]);return Object(_.a)(i,s)}});var he=n(59);const de=Object(S.b)({pad1d_:function(t,e,n=0){return Object(E.b)(2===e.length,()=>"Invalid number of paddings. 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All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e,n){const r=Object(E.N)(t);let i=null;if(null==n||"float32"===n)i=new Float32Array(r);else if("int32"===n)i=new Int32Array(r);else{if("bool"!==n)throw new Error("Unknown data type "+n);i=new Uint8Array(r)}for(let t=0;t`Error in reverse1D: x must be rank 1 but got rank ${e.rank}.`),Object(Ee.a)(e,0)}}); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Me=Object(S.b)({reverse2d_:function(t,e){const n=Object(w.a)(t,"x","reverse");return E.b(2===n.rank,()=>`Error in reverse2D: x must be rank 2 but got rank ${n.rank}.`),Object(Ee.a)(n,e)}}); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const De=Object(S.b)({reverse3d_:function(t,e){const n=Object(w.a)(t,"x","reverse");return E.b(3===n.rank,()=>`Error in reverse3D: x must be rank 3 but got rank ${n.rank}.`),Object(Ee.a)(n,e)}}); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Re=Object(S.b)({reverse4d_:function(t,e){const n=Object(w.a)(t,"x","reverse");return E.b(4===n.rank,()=>`Error in reverse4D: x must be rank 4 but got rank ${n.rank}.`),Object(Ee.a)(n,e)}});var Pe=n(242),Fe=n(181),ze=n(15),Le=n(182),$e=n(183),Be=n(243),qe=n(244),Ve=n(184),Ue=n(185);const We=Object(S.b)({slice1d_: /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e,n){const r=Object(w.a)(t,"x","slice1d");return E.b(1===r.rank,()=>`slice1d expects a rank-1 tensor, but got a rank-${r.rank} tensor`),Object(T.a)(r,[e],[n])}}); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Ge=Object(S.b)({slice2d_:function(t,e,n){const r=Object(w.a)(t,"x","slice2d");return E.b(2===r.rank,()=>`slice2d expects a rank-2 tensor, but got a rank-${r.rank} tensor`),Object(T.a)(r,e,n)}}); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const He=Object(S.b)({slice3d_:function(t,e,n){const r=Object(w.a)(t,"x","slice3d");return E.b(3===r.rank,()=>`slice3d expects a rank-3 tensor, but got a rank-${r.rank} tensor`),Object(T.a)(r,e,n)}}); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Ke=Object(S.b)({slice4d_:function(t,e,n){const r=Object(w.a)(t,"x","slice4d");return E.b(4===r.rank,()=>`slice4d expects a rank-4 tensor, but got a rank-${r.rank} tensor`),Object(T.a)(r,e,n)}});var Qe=n(245),Xe=n(175),Ye=n(105),Je=n(135),Ze=n(116),tn=n(186),en=n(136),nn=n(78),rn=n(35),sn=n(106),an=n(107),on=n(63),un=n(85),cn=n(246),ln=n(21),hn=n(247),dn=n(64),pn=n(77),fn=n(47); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function mn(t,e,n){if(Object(E.d)(t),null!=e&&2!==e.length)throw new Error("tensor2d() requires shape to have two numbers");const r=Object(w.c)(t,n);if(2!==r.length&&1!==r.length)throw new Error("tensor2d() requires values to be number[][] or flat/TypedArray");if(1===r.length&&null==e)throw new Error("tensor2d() requires shape to be provided when `values` are a flat/TypedArray");return Object(fn.a)(t,e,r,n)}var gn=n(188); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function bn(t,e,n){if(Object(E.d)(t),null!=e&&4!==e.length)throw new Error("tensor4d() requires shape to have four numbers");const r=Object(w.c)(t,n);if(4!==r.length&&1!==r.length)throw new Error("tensor4d() requires values to be number[][][][] or flat/TypedArray");if(1===r.length&&null==e)throw new Error("tensor4d() requires shape to be provided when `values` are a flat array");return Object(fn.a)(t,e,r,n)} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function yn(t,e,n){if(Object(E.d)(t),null!=e&&5!==e.length)throw new Error("tensor5d() requires shape to have five numbers");const r=Object(w.c)(t,n);if(5!==r.length&&1!==r.length)throw new Error("tensor5d() requires values to be number[][][][][] or flat/TypedArray");if(1===r.length&&null==e)throw new Error("tensor5d() requires shape to be provided when `values` are a flat array");return Object(fn.a)(t,e,r,n)} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function vn(t,e,n){if(Object(E.d)(t),null!=e&&6!==e.length)throw new Error("tensor6d() requires shape to have six numbers");const r=Object(w.c)(t,n);if(6!==r.length&&1!==r.length)throw new Error("tensor6d() requires values to be number[][][][][][] or flat/TypedArray");if(1===r.length&&null==e)throw new Error("tensor6d() requires shape to be provided when `values` are a flat array");return e=e||r,Object(fn.a)(t,e,r,n)}var wn=n(189),xn=n(248),_n=n(190),On=n(137),Sn=n(108); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function kn(t,e=!0,n,r){return rt.a.makeVariable(t,e,n,r)}var Tn=n(37),Cn=n(191),An=n(58),Nn=n(23);const In= /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ async function(t,e,n){const r=Object(w.a)(t,"tensor","boolMask"),i=Object(w.a)(e,"mask","boolMask","bool"),s=null==n?0:n,a=i.rank,o=r.shape;E.b(a>0,()=>"mask cannot be scalar"),E.e(o.slice(s,s+a),i.shape,"mask's shape must match the first K dimensions of tensor's shape,");let u=1;for(let t=s;t"Shape mismatch in v and x");const c=Object(ze.a)(1),l=Object(ee.a)(c,u);let h=Object(O.a)(Object(ee.a)(a,s),l);if(i){E.b(null!=r,()=>"When using zeroDebias: true, step is required.");const t=Object(w.a)(r,"step","movingAverage");h=Object(ut.a)(h,Object(ee.a)(c,Object(be.a)(u,t)))}return Object(o.a)(s,h)}});var Fn=n(251),zn=n(271),Ln=n(252),$n=n(6);const Bn=Object(S.b)({dropout_: /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e,n,r){const i=Object(w.a)(t,"x","dropout");if(E.b("float32"===i.dtype,()=>`x has to be a floating point tensor since it's going to be scaled, but got a ${i.dtype} tensor instead.`),E.b(e>=0&&e<1,()=>`rate must be a float in the range [0, 1), but got ${e}.`),0===e)return t instanceof $n.a?i.clone():i;const s= /** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e){if(null==e)return t.shape.slice();if(E.a(t.shape,e))return e;if(t.shape.length===e.length){const n=[];for(let r=0;r1,()=>"inTopK() expects the predictions to be of rank 2 or higher, but got "+r.rank),Object(E.b)(r.rank-1===i.rank,()=>`predictions rank should be 1 larger than targets rank, but got predictions rank ${r.rank} and targets rank ${i.rank}`),Object(E.e)(r.shape.slice(0,r.shape.length-1),i.shape,"predictions's shape should be align with the targets' shape, except the last dimension.");const s=r.shape[r.shape.length-1];Object(E.b)(n>0&&n<=s,()=>`'k' passed to inTopK() must be > 0 && <= the predictions last dimension (${s}), but got ${n}`);const a=await r.data(),o=await i.data(),[u,c]=[a.length/s,s],l=Object(E.o)("bool",u);for(let t=0;te.value-t.value),l[t]=0;for(let e=0;e"Error in fused conv2d: input must be rank 4, but got rank "+p.rank+"."),E.b(4===d.rank,()=>"Error in fused conv2d: filter must be rank 4, but got rank "+d.rank+"."),null!=a&&E.b(E.v(r),()=>`Error in fused conv2d: pad must be an integer when using, dimRoundingMode ${a} but got pad ${r}.`),E.b(p.shape[3]===d.shape[2],()=>`Error in conv2d: depth of input (${p.shape[3]}) must match input depth for filter ${d.shape[2]}.`),E.b(Qn.h(n,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${n} and dilations '${s}'`),E.b("NHWC"===i,()=>`Error in conv2d: got dataFormat of ${i} but only NHWC is currently supported.`);const m=Qn.a(p.shape,d.shape,n,s,r,a);let g,b;null!=u&&(g=Object(w.a)(u,"bias","fused conv2d"),[g]=Object(Rn.makeTypesMatch)(g,h),Gn.a(m.outShape,g.shape)),null!=l&&(b=Object(w.a)(l,"prelu weights","fused conv2d"));const y=(t,e)=>{const[i,a,o,u]=e,l=Object(Xn.c)(t,o,c);E.b(Qn.i(s),()=>`Error in gradient of fused conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`);const h=[Object(Kn.a)(a.shape,l,i,n,r),Object(Hn.a)(a,l,i.shape,n,r)];if(null!=u){const t=Object(Xn.b)(u,l);h.push(t)}return h},v=t=>t.fusedConv2d({input:p,filter:d,convInfo:m,bias:g,activation:c,preluActivationWeights:b}),x={x:p,filter:d,bias:g,preluActivationWeights:b},_={strides:n,pad:r,dataFormat:i,dilations:s,dimRoundingMode:a,activation:c};if(null==u){return Object(Wn.a)((t,e,n)=>{let r=rt.a.runKernelFunc(v,x,null,it.gb,_);return n([e,t,r]),f&&(r=Object(st.a)(r,[r.shape[1],r.shape[2],r.shape[3]])),{value:r,gradFunc:y}})(p,d)}return Object(Wn.a)((t,e,n,r)=>{let i=rt.a.runKernelFunc(v,x,null,it.gb,_);return r([e,t,i,n]),f&&(i=Object(st.a)(i,[i.shape[1],i.shape[2],i.shape[3]])),{value:i,gradFunc:y}})(p,d,g)}});var Jn=n(210),Zn=n(209);const tr=Object(S.b)({fusedDepthwiseConv2d_: /** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function({x:t,filter:e,strides:n,pad:r,dataFormat:i="NHWC",dilations:s=[1,1],dimRoundingMode:a,bias:u,activation:c="linear",preluActivationWeights:l}){if(!1===Object(Xn.d)(rt.a.state.gradientDepth,c)){let h=Object(nt.a)(t,e,n,r,i,s,a);return null!=u&&(h=Object(o.a)(h,u)),Object(Xn.a)(h,c,l)}const h=Object(w.a)(t,"x","depthwiseConv2d"),d=Object(w.a)(e,"filter","depthwiseConv2d");let p=h,f=!1;3===h.rank&&(f=!0,p=Object(st.a)(h,[1,h.shape[0],h.shape[1],h.shape[2]])),E.b(4===p.rank,()=>`Error in fused depthwiseConv2d: input must be rank 4, but got rank ${p.rank}.`),E.b(4===d.rank,()=>`Error in fused depthwiseConv2d: filter must be rank 4, but got rank ${d.rank}.`),E.b(p.shape[3]===d.shape[2],()=>`Error in fused depthwiseConv2d: number of input channels (${p.shape[3]}) must match the inChannels dimension in filter ${d.shape[2]}.`),null==s&&(s=[1,1]),E.b(Qn.h(n,s),()=>`Error in fused depthwiseConv2d: Either strides or dilations must be 1. Got strides ${n} and dilations '${s}'`),null!=a&&E.b(E.v(r),()=>`Error in fused depthwiseConv2d: pad must be an integer when using dimRoundingMode ${a} but got pad ${r}.`);const m=Qn.a(p.shape,d.shape,n,s,r,a,!0);let g,b;null!=u&&(g=Object(w.a)(u,"bias","fused conv2d"),[g]=Object(Rn.makeTypesMatch)(g,h),Gn.a(m.outShape,g.shape)),null!=l&&(b=Object(w.a)(l,"prelu weights","fused depthwiseConv2d"));const y=(t,e)=>{E.b(Qn.i(s),()=>`Error in gradient of fused depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '${s}'`);const[i,o,u,l]=e,h=Object(Xn.c)(t,u,c),d=Object(Zn.a)(o.shape,h,i,n,r,s,a),p=Object(Jn.a)(o,h,i.shape,n,r,s,a);if(null!=l){return[d,p,Object(Xn.b)(g,h)]}return[d,p]},v=t=>t.fusedDepthwiseConv2D({input:p,filter:d,convInfo:m,bias:g,activation:c,preluActivationWeights:b}),x={x:p,filter:d,bias:g,preluActivationWeights:b},_={strides:n,pad:r,dataFormat:i,dilations:s,dimRoundingMode:a,activation:c};if(null==u){return Object(Wn.a)((t,e,n)=>{let r=rt.a.runKernelFunc(v,x,null,it.hb,_);return n([e,t,r]),f&&(r=Object(st.a)(r,[r.shape[1],r.shape[2],r.shape[3]])),{value:r,gradFunc:y}})(p,d)}return Object(Wn.a)((t,e,n,r)=>{let i=rt.a.runKernelFunc(v,x,null,it.hb,_);return r([e,t,i,n]),f&&(i=Object(st.a)(i,[i.shape[1],i.shape[2],i.shape[3]])),{value:i,gradFunc:y}})(p,d,g)}}); /** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const er=Object(S.b)({fusedMatMul_:function({a:t,b:e,transposeA:n=!1,transposeB:r=!1,bias:i,activation:s="linear",preluActivationWeights:a}){if(!1===Object(Xn.d)(rt.a.state.gradientDepth,s)){let u=Object(_.a)(t,e,n,r);return null!=i&&(u=Object(o.a)(u,i)),Object(Xn.a)(u,s,a)}let u=Object(w.a)(t,"a","fused matMul"),c=Object(w.a)(e,"b","fused matMul");[u,c]=Object(Rn.makeTypesMatch)(u,c);const l=n?u.shape[u.rank-2]:u.shape[u.rank-1],h=r?c.shape[c.rank-1]:c.shape[c.rank-2],d=n?u.shape[u.rank-1]:u.shape[u.rank-2],p=r?c.shape[c.rank-2]:c.shape[c.rank-1],f=u.shape.slice(0,-2),m=c.shape.slice(0,-2),g=E.N(f),b=E.N(m);E.b(u.rank>=2&&c.rank>=2&&u.rank===c.rank,()=>`Error in fused matMul: inputs must have the same rank of at least 2, got ranks ${u.rank} and ${c.rank}.`),E.b(E.a(f,m),()=>`Error in fused matMul: outer dimensions (${f}) and (${m}) of Tensors with shapes ${u.shape} and `+c.shape+" must match."),E.b(l===h,()=>`Error in fused matMul: inner shapes (${l}) and (${h}) of Tensors with shapes ${u.shape} and ${c.shape} and transposeA=${n} and transposeB=${r} must match.`);const y=u.shape.slice(0,-2).concat([d,p]),v=n?Object(st.a)(u,[g,l,d]):Object(st.a)(u,[g,d,l]),x=r?Object(st.a)(c,[b,p,h]):Object(st.a)(c,[b,h,p]);let O,S;null!=i&&(O=Object(w.a)(i,"bias","fused matMul"),[O]=Object(Rn.makeTypesMatch)(O,u),Gn.a(y,O.shape)),null!=a&&(S=Object(w.a)(a,"prelu weights","fused matMul"));const k=(t,e)=>{const[a,o,u,c]=e,l=Object(Xn.c)(Object(st.a)(t,u.shape),u,s);let h,d;if(n||r?!n&&r?(h=Object(_.a)(l,o,!1,!1),d=Object(_.a)(l,a,!0,!1)):n&&!r?(h=Object(_.a)(o,l,!1,!0),d=Object(_.a)(a,l,!1,!1)):(h=Object(_.a)(o,l,!0,!0),d=Object(_.a)(l,a,!0,!0)):(h=Object(_.a)(l,o,!1,!0),d=Object(_.a)(a,l,!0,!1)),null!=i){return[h,d,Object(Xn.b)(c,l)]}return[h,d]},T=t=>t.fusedBatchMatMul({a:v,b:x,transposeA:n,transposeB:r,bias:O,activation:s,preluActivationWeights:S}),C={a:v,b:x,bias:O,preluActivationWeights:S},A={transposeA:n,transposeB:r,activation:s};if(null==i){return Object(Wn.a)((t,e,n)=>{const r=rt.a.runKernelFunc(T,C,null,it.Tc,A);return n([t,e,r]),{value:Object(st.a)(r,y),gradFunc:k}})(v,x)}return Object(Wn.a)((t,e,n,r)=>{const i=rt.a.runKernelFunc(T,C,null,it.Tc,A);return r([t,e,i,n]),{value:Object(st.a)(i,y),gradFunc:k}})(v,x,O)}}); /** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ /** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const nr=Object(S.b)({hammingWindow_:function(t){return Vn(t,.54,.46)}}); /** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const rr=Object(S.b)({hannWindow_:function(t){return Vn(t,.5,.5)}}); /** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const ir=Object(S.b)({frame_:function(t,e,n,r=!1,i=0){let s=0;const a=[];for(;s+e<=t.size;)a.push(Object(T.a)(t,s,e)),s+=n;if(r)for(;s`Error in cropAndResize: image must be rank 4,but got rank ${a.rank}.`),E.b(2===o.rank&&4===o.shape[1],()=>`Error in cropAndResize: boxes must be have size [${c},4] but had shape ${o.shape}.`),E.b(1===u.rank&&u.shape[0]===c,()=>`Error in cropAndResize: boxInd must be have size [${c}] but had shape ${o.shape}.`),E.b(2===r.length,()=>`Error in cropAndResize: cropSize must be of length 2, but got length ${r.length}.`),E.b(r[0]>=1&&r[1]>=1,()=>"cropSize must be atleast [1,1], but was "+r),E.b("bilinear"===i||"nearest"===i,()=>"method must be bilinear or nearest, but was "+i);const l={image:a,boxes:o,boxInd:u},h={method:i,extrapolationValue:s,cropSize:r};return rt.a.runKernelFunc(t=>t.cropAndResize(a,o,u,r,i,s),l,null,it.I,h)}}); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const or=Object(S.b)({flipLeftRight_:function(t){const e=Object(w.a)(t,"image","flipLeftRight","float32");E.b(4===e.rank,()=>`Error in flipLeftRight: image must be rank 4,but got rank ${e.rank}.`);const n={image:e};return rt.a.runKernel(it.bb,n,{})}}); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const ur=Object(S.b)({rotateWithOffset_:function(t,e,n=0,r=.5){const i=Object(w.a)(t,"image","rotateWithOffset","float32");E.b(4===i.rank,()=>`Error in rotateWithOffset: image must be rank 4,but got rank ${i.rank}.`);const s={image:i},a={radians:e,fillValue:n,center:r};return rt.a.runKernel(it.nc,s,a)}}); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function cr(t,e,n,r,i,s){null==r&&(r=.5),null==i&&(i=Number.NEGATIVE_INFINITY),null==s&&(s=0);const a=t.shape[0];return n=Math.min(n,a),E.b(0<=r&&r<=1,()=>`iouThreshold must be in [0, 1], but was '${r}'`),E.b(2===t.rank,()=>`boxes must be a 2D tensor, but was of rank '${t.rank}'`),E.b(4===t.shape[1],()=>"boxes must have 4 columns, but 2nd dimension was "+t.shape[1]),E.b(1===e.rank,()=>"scores must be a 1D tensor"),E.b(e.shape[0]===a,()=>`scores has incompatible shape with boxes. Expected ${a}, but was `+e.shape[0]),E.b(0<=s&&s<=1,()=>`softNmsSigma must be in [0, 1], but was '${s}'`),{maxOutputSize:n,iouThreshold:r,scoreThreshold:i,softNmsSigma:s}} /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const lr=Object(S.b)({nonMaxSuppression_:function(t,e,n,r=.5,i=Number.NEGATIVE_INFINITY){const s=Object(w.a)(t,"boxes","nonMaxSuppression"),a=Object(w.a)(e,"scores","nonMaxSuppression"),o=cr(s,a,n,r,i);n=o.maxOutputSize,r=o.iouThreshold,i=o.scoreThreshold;const u={maxOutputSize:n,iouThreshold:r,scoreThreshold:i};return rt.a.runKernelFunc(t=>t.nonMaxSuppression(s,a,n,r,i),{boxes:s,scores:a},null,it.Rb,u)}});var hr=n(80); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const dr=async function(t,e,n,r=.5,i=Number.NEGATIVE_INFINITY){const s=Object(w.a)(t,"boxes","nonMaxSuppressionAsync"),a=Object(w.a)(e,"scores","nonMaxSuppressionAsync"),o=cr(s,a,n,r,i);n=o.maxOutputSize,r=o.iouThreshold,i=o.scoreThreshold;const u=await Promise.all([s.data(),a.data()]),c=u[0],l=u[1],h=Object(hr.a)(c,l,n,r,i);return s!==t&&s.dispose(),a!==e&&a.dispose(),h}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const pr=Object(S.b)({nonMaxSuppressionWithScore_:function(t,e,n,r=.5,i=Number.NEGATIVE_INFINITY,s=0){const a=Object(w.a)(t,"boxes","nonMaxSuppression"),o=Object(w.a)(e,"scores","nonMaxSuppression"),u=cr(a,o,n,r,i,s),c={boxes:a,scores:o},l={maxOutputSize:n=u.maxOutputSize,iouThreshold:r=u.iouThreshold,scoreThreshold:i=u.scoreThreshold,softNmsSigma:s=u.softNmsSigma},h=rt.a.runKernel(it.Tb,c,l);return{selectedIndices:h[0],selectedScores:h[1]}}}); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const fr=async function(t,e,n,r=.5,i=Number.NEGATIVE_INFINITY,s=0){const a=Object(w.a)(t,"boxes","nonMaxSuppressionAsync"),o=Object(w.a)(e,"scores","nonMaxSuppressionAsync"),u=cr(a,o,n,r,i,s);n=u.maxOutputSize,r=u.iouThreshold,i=u.scoreThreshold,s=u.softNmsSigma;const c=await Promise.all([a.data(),o.data()]),l=c[0],h=c[1],d=Object(hr.c)(l,h,n,r,i,s);return a!==t&&a.dispose(),o!==e&&o.dispose(),d}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const mr=Object(S.b)({nonMaxSuppressionPadded_:function(t,e,n,r=.5,i=Number.NEGATIVE_INFINITY,s=!1){const a=Object(w.a)(t,"boxes","nonMaxSuppression"),o=Object(w.a)(e,"scores","nonMaxSuppression"),u=cr(a,o,n,r,i,null),c={boxes:a,scores:o},l={maxOutputSize:u.maxOutputSize,iouThreshold:u.iouThreshold,scoreThreshold:u.scoreThreshold,padToMaxOutputSize:s},h=rt.a.runKernel(it.Sb,c,l);return{selectedIndices:h[0],validOutputs:h[1]}}}); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const gr=async function(t,e,n,r=.5,i=Number.NEGATIVE_INFINITY,s=!1){const a=Object(w.a)(t,"boxes","nonMaxSuppressionAsync"),o=Object(w.a)(e,"scores","nonMaxSuppressionAsync"),u=cr(a,o,n,r,i,null),c=u.maxOutputSize,l=u.iouThreshold,h=u.scoreThreshold,[d,p]=await Promise.all([a.data(),o.data()]),f=Object(hr.b)(d,p,c,l,h,s);return a!==t&&a.dispose(),o!==e&&o.dispose(),f};var br=n(208),yr=n(207);const vr=Object(S.b)({bandPart_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e,n){Object(E.b)(e%1==0,()=>`bandPart(): numLower must be an integer, got ${e}.`),Object(E.b)(n%1==0,()=>`bandPart(): numUpper must be an integer, got ${n}.`);const r=Object(w.a)(t,"a","bandPart");Object(E.b)(r.rank>=2,()=>`bandPart(): Rank must be at least 2, got ${r.rank}.`);const i=r.shape,[s,a]=r.shape.slice(-2);if(!(e<=s))throw new Error(`bandPart(): numLower (${e}) must not be greater than the number of rows (${s}).`);if(!(n<=a))throw new Error(`bandPart(): numUpper (${n}) must not be greater than the number of columns (${a}).`);e<0&&(e=s),n<0&&(n=a);const o=Object(st.a)(Object(Te.a)(0,s,1,"int32"),[-1,1]),u=Object(Te.a)(0,a,1,"int32"),c=Object(ee.a)(o,u),l=Object(Lt.a)(Object(Et.a)(c,Object(ze.a)(+e,"int32")),Object(St.a)(c,Object(ze.a)(-n,"int32"))),h=Object(An.a)([s,a],r.dtype);return Object(st.a)(Object(on.a)(Object(Sn.a)(Object(st.a)(r,[-1,s,a])).map(t=>Object(Tn.a)(l,t,h))),i)}}); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const wr=Object(S.b)({gramSchmidt_:function(t){let e;if(Array.isArray(t)){e=!1,Object(E.b)(null!=t&&t.length>0,()=>"Gram-Schmidt process: input must not be null, undefined, or empty");const n=t[0].shape[0];for(let e=1;e`Gram-Schmidt: Non-unique lengths found in the input vectors: (${t[e].shape[0]} vs. ${n})`)}else e=!0,t=Object(nn.a)(t,t.shape[0],0).map(t=>Object(an.a)(t,[0]));Object(E.b)(t.length<=t[0].shape[0],()=>`Gram-Schmidt: Number of vectors (${t.length}) exceeds number of dimensions (${t[0].shape[0]}).`);const n=[],r=t;for(let e=0;e{let t=r[e];if(e>0)for(let r=0;r{Object(E.b)(2===t.shape.length,()=>`qr2d() requires a 2D Tensor, but got a ${t.shape.length}D Tensor.`);const n=t.shape[0],r=t.shape[1];let i=yt(n),s=Object($.a)(t);const a=mn([[1]],[1,1]);let o=Object($.a)(a);const u=n>=r?r:n;for(let t=0;t{const e=Object(T.a)(s,[t,t],[n-t,1]),u=Object(Dn.a)(e),c=Object(T.a)(s,[t,t],[1,1]),l=Object(Tn.a)(Object(Ot.a)(c,0),mn([[-1]]),mn([[1]])),h=Object(ee.a)(c,Object(O.a)(l,u)),d=Object(ut.a)(e,h);o=1===d.shape[0]?Object($.a)(a):Object(x.a)([a,Object(T.a)(d,[1,0],[d.shape[0]-1,d.shape[1]])],0);const p=Object(se.a)(Object(ut.a)(Object(_.a)(l,h),u)),f=Object(T.a)(s,[t,0],[n-t,r]),m=Object(O.a)(p,o),g=Object(Mn.a)(o);if(0===t)s=Object(ee.a)(f,Object(_.a)(m,Object(_.a)(g,f)));else{const e=Object(ee.a)(f,Object(_.a)(m,Object(_.a)(g,f)));s=Object(x.a)([Object(T.a)(s,[0,0],[t,r]),e],0)}const b=Object(Mn.a)(m),y=Object(T.a)(i,[0,t],[n,i.shape[1]-t]);if(0===t)i=Object(ee.a)(y,Object(_.a)(Object(_.a)(y,o),b));else{const e=Object(ee.a)(y,Object(_.a)(Object(_.a)(y,o),b));i=Object(x.a)([Object(T.a)(i,[0,0],[n,t]),e],1)}return[o,s,i]}),Object(xr.d)([e,u,c])}return!e&&n>r&&(i=Object(T.a)(i,[0,0],[n,r]),s=Object(T.a)(s,[0,0],[r,r])),[i,s]})}const Or=Object(S.b)({qr_:function(t,e=!1){if(Object(E.b)(t.rank>=2,()=>"qr() requires input tensor to have a rank >= 2, but got rank "+t.rank),2===t.rank)return _r(t,e);{const n=t.shape.slice(0,t.shape.length-2).reduce((t,e)=>t*e),r=Object(Sn.a)(Object(st.a)(t,[n,t.shape[t.shape.length-2],t.shape[t.shape.length-1]]),0),i=[],s=[];r.forEach(t=>{const[n,r]=_r(t,e);i.push(n),s.push(r)});return[Object(st.a)(Object(on.a)(i,0),t.shape),Object(st.a)(Object(on.a)(s,0),t.shape)]}}});var Sr=n(34);const kr=Object(S.b)({computeWeightedLoss_:function(t,e,n=Sr.a.SUM_BY_NONZERO_WEIGHTS){const r=Object(w.a)(t,"losses","computeWeightedLoss");let i=null;null!=e&&(i=Object(w.a)(e,"weights","computeWeightedLoss"));const s=null==i?r:Object(O.a)(r,i);if(n===Sr.a.NONE)return s;if(n===Sr.a.SUM)return Object(ln.a)(s);if(n===Sr.a.MEAN){if(null==i)return Object(Kt.a)(s);{const t=r.size/i.size,e=Object(ut.a)(Object(ln.a)(s),Object(ln.a)(i));return t>1?Object(ut.a)(e,Object(ze.a)(t)):e}}if(n===Sr.a.SUM_BY_NONZERO_WEIGHTS){if(null==i)return Object(ut.a)(Object(ln.a)(s),Object(ze.a)(r.size));{const t=Object(O.a)(i,Object(ue.a)(r.shape)),e=Object(F.a)(Object(ln.a)(Object(ae.a)(t,Object(ze.a)(0))),"float32");return Object(ut.a)(Object(ln.a)(s),e)}}throw Error("Unknown reduction: "+n)}}); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Tr=Object(S.b)({absoluteDifference_:function(t,e,n,r=Sr.a.SUM_BY_NONZERO_WEIGHTS){const s=Object(w.a)(t,"labels","absoluteDifference"),a=Object(w.a)(e,"predictions","absoluteDifference");let o=null;null!=n&&(o=Object(w.a)(n,"weights","absoluteDifference")),Object(E.e)(s.shape,a.shape,"Error in absoluteDifference: ");const u=Object(i.a)(Object(ee.a)(s,a));return kr(u,o,r)}});const Cr=Object(S.b)({cosineDistance_:function(t,e,n,r,i=Sr.a.SUM_BY_NONZERO_WEIGHTS){const s=Object(w.a)(t,"labels","cosineDistance"),a=Object(w.a)(e,"predictions","cosineDistance");let o=null;null!=r&&(o=Object(w.a)(r,"weights","cosineDistance")),Object(E.e)(s.shape,a.shape,"Error in cosineDistance: ");const u=Object(ze.a)(1),c=Object(ee.a)(u,Object(ln.a)(Object(O.a)(s,a),n,!0));return kr(c,o,i)}});const Ar=Object(S.b)({hingeLoss_:function(t,e,n,r=Sr.a.SUM_BY_NONZERO_WEIGHTS){let i=Object(w.a)(t,"labels","hingeLoss");const s=Object(w.a)(e,"predictions","hingeLoss");let a=null;null!=n&&(a=Object(w.a)(n,"weights","hingeLoss")),Object(E.e)(i.shape,s.shape,"Error in hingeLoss: ");const o=Object(ze.a)(1);i=Object(ee.a)(Object(O.a)(Object(ze.a)(2),i),o);const u=Object(Ne.a)(Object(ee.a)(o,Object(O.a)(i,s)));return kr(u,a,r)}}); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Nr=Object(S.b)({huberLoss_:function(t,e,n,r=1,s=Sr.a.SUM_BY_NONZERO_WEIGHTS){const a=Object(w.a)(t,"labels","huberLoss"),u=Object(w.a)(e,"predictions","huberLoss");let c=null;null!=n&&(c=Object(w.a)(n,"weights","huberLoss")),Object(E.e)(a.shape,u.shape,"Error in huberLoss: ");const l=Object(ze.a)(r),h=Object(i.a)(Object(ee.a)(u,a)),d=Object(Xt.a)(h,l),p=Object(ee.a)(h,d),f=Object(o.a)(Object(O.a)(Object(ze.a)(.5),Object(te.a)(d)),Object(O.a)(l,p));return kr(f,c,s)}}); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Ir=Object(S.b)({logLoss_:function(t,e,n,r=1e-7,i=Sr.a.SUM_BY_NONZERO_WEIGHTS){const s=Object(w.a)(t,"labels","logLoss"),a=Object(w.a)(e,"predictions","logLoss");let u=null;null!=n&&(u=Object(w.a)(n,"weights","logLoss")),Object(E.e)(s.shape,a.shape,"Error in logLoss: ");const c=Object(ze.a)(1),l=Object(ze.a)(r),h=Object(se.a)(Object(O.a)(s,Object(Dt.a)(Object(o.a)(a,l)))),d=Object(O.a)(Object(ee.a)(c,s),Object(Dt.a)(Object(o.a)(Object(ee.a)(c,a),l))),p=Object(ee.a)(h,d);return kr(p,u,i)}}); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Er=Object(S.b)({meanSquaredError_:function(t,e,n,r=Sr.a.SUM_BY_NONZERO_WEIGHTS){const i=Object(w.a)(t,"labels","meanSquaredError"),s=Object(w.a)(e,"predictions","meanSquaredError");let a=null;null!=n&&(a=Object(w.a)(n,"weights","meanSquaredError")),Object(E.e)(i.shape,s.shape,"Error in meanSquaredError: ");const o=Object(sn.a)(i,s);return kr(o,a,r)}}); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const jr=Object(S.b)({sigmoidCrossEntropy_:function(t,e,n,r=0,s=Sr.a.SUM_BY_NONZERO_WEIGHTS){let a=Object(w.a)(t,"multiClassLabels","sigmoidCrossEntropy");const u=Object(w.a)(e,"logits","sigmoidCrossEntropy");let c=null;if(null!=n&&(c=Object(w.a)(n,"weights","sigmoidCrossEntropy")),Object(E.e)(a.shape,u.shape,"Error in sigmoidCrossEntropy: "),r>0){const t=Object(ze.a)(r),e=Object(ze.a)(1),n=Object(ze.a)(.5);a=Object(o.a)(Object(O.a)(a,Object(ee.a)(e,t)),Object(O.a)(n,t))}const l=function(t,e){const n=Object(w.a)(t,"labels","sigmoidCrossEntropyWithLogits"),r=Object(w.a)(e,"logits","sigmoidCrossEntropyWithLogits");Object(E.e)(n.shape,r.shape,"Error in sigmoidCrossEntropyWithLogits: ");const s=Object(Ne.a)(r),a=Object(O.a)(r,n),u=Object(Rt.a)(Object(ft.a)(Object(se.a)(Object(i.a)(r))));return Object(o.a)(Object(ee.a)(s,a),u)}(a,u);return kr(l,c,s)}}); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Mr=Object(S.b)({softmaxCrossEntropy_:function(t,e,n,r=0,i=Sr.a.SUM_BY_NONZERO_WEIGHTS){let s=Object(w.a)(t,"onehotLabels","softmaxCrossEntropy");const a=Object(w.a)(e,"logits","softmaxCrossEntropy");let u=null;if(null!=n&&(u=Object(w.a)(n,"weights","softmaxCrossEntropy")),Object(E.e)(s.shape,a.shape,"Error in softmaxCrossEntropy: "),r>0){const t=Object(ze.a)(r),e=Object(ze.a)(1),n=Object(ze.a)(s.shape[1]);s=Object(o.a)(Object(O.a)(s,Object(ee.a)(e,t)),Object(ut.a)(t,n))}const c=function(t,e,n=-1){if(-1===n&&(n=e.rank-1),n!==e.rank-1)throw Error(`Softmax cross entropy along a non-last dimension is not yet supported. 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All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */},function(t,e,n){"use strict";n.d(e,"d",(function(){return i})),n.d(e,"e",(function(){return s})),n.d(e,"f",(function(){return a})),n.d(e,"a",(function(){return o})),n.d(e,"b",(function(){return u})),n.d(e,"c",(function(){return c})),n.d(e,"i",(function(){return f})),n.d(e,"h",(function(){return m})),n.d(e,"g",(function(){return g}));var r=n(7); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function i(t,e,n,r,i="NHWC",s){return o(t,[...e,t[3]],n,s,r,null,null,g(i))}function s(t,e,n,r,i,s,a="channelsLast"){const[u,c]=l(e);let h;if("channelsLast"===a)h=[u,c,t[3],t[3]];else{if("channelsFirst"!==a)throw new Error("Unknown dataFormat "+a);h=[u,c,t[1],t[1]]}return o(t,h,n,r,i,s,!1,a)}function a(t,e,n,r,i,s,a="NDHWC"){const[o,c,l]=h(e);let d,p;if("NDHWC"===a)p="channelsLast",d=[o,c,l,t[4],t[4]];else{if("NCDHW"!==a)throw new Error("Unknown dataFormat "+a);p="channelsFirst",d=[o,c,l,t[1],t[1]]}return u(t,d,n,r,i,!1,p,s)}function o(t,e,n,i,s,a,o=!1,u="channelsLast"){let[h,f,m,g]=[-1,-1,-1,-1];if("channelsLast"===u)[h,f,m,g]=t;else{if("channelsFirst"!==u)throw new Error("Unknown dataFormat "+u);[h,g,f,m]=t}const[b,y,,v]=e,[w,x]=l(n),[_,O]=l(i),S=d(b,_),k=d(y,O),{padInfo:T,outHeight:C,outWidth:A}=function(t,e,n,i,s,a,o,u,l){let h,d,f;if("number"==typeof t){h={top:t,bottom:t,left:t,right:t,type:0===t?"VALID":"NUMBER"};const s=function(t,e,n,i,s){null==i&&(i=c(t,e,n));const a=t[0],o=t[1],u=p((a-e+2*i)/n+1,s);r.b(r.v(u),()=>`The output # of rows (${u}) must be an integer. 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All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e=0){Object(a.b)(t.length>=1,()=>"Pass at least one tensor to concat");let n=Object(s.b)(t,"tensors","concat");"complex64"===n[0].dtype&&n.forEach(t=>{if("complex64"!==t.dtype)throw new Error(`Cannot concatenate complex64 tensors with a tensor\n with dtype ${t.dtype}. `)});const u=n,l={axis:e};return r.a.runKernelFunc((t,r)=>{const i=Object(a.I)(e,n[0].shape)[0],s=Object(o.b)(n.map(t=>t.shape),i);if(0===Object(a.N)(s))return Object(c.a)([],s);if(n=n.filter(t=>t.size>0),1===n.length)return n[0];const u=n.map(t=>t.shape);Object(o.a)(u,i);const l=t.concat(n,i);return r(n),l},u,null,i.z,l)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return d})),n.d(e,"f",(function(){return h})),n.d(e,"d",(function(){return c})),n.d(e,"e",(function(){return l})),n.d(e,"b",(function(){return o})),n.d(e,"c",(function(){return u}));var r=n(5),i=n(6),s=n(1),a=n(7); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function o(t){return a.b(a.u(t),()=>"The f passed in grad(f) must be a function"),(e,n)=>{const i=Object(s.a)(e,"x","tf.grad",null),o=null!=n?Object(s.a)(n,"dy","tf.grad"):null;return r.a.tidy(()=>{const{value:e,grads:n}=r.a.gradients(()=>t(i),[i],o);return null!=o&&a.e(e.shape,o.shape,"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"),p(n),n[0]})}}function u(t){return a.b(a.u(t),()=>"The f passed in grads(f) must be a function"),(e,n)=>{a.b(Array.isArray(e),()=>"The args passed in grads(f)(args) must be an array of `Tensor`s or `TensorLike`s");const i=Object(s.b)(e,"args","tf.grads",null),o=null!=n?Object(s.a)(n,"dy","tf.grads"):null;return r.a.tidy(()=>{const{value:e,grads:n}=r.a.gradients(()=>t(...i),i,o);return null!=o&&a.e(e.shape,o.shape,"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),p(n),n})}}function c(t){return a.b(a.u(t),()=>"The f passed in valueAndGrad(f) must be a function"),(e,n)=>{a.b(e instanceof i.a,()=>"The x passed in valueAndGrad(f)(x) must be a tensor"),a.b(null==n||n instanceof i.a,()=>"The dy passed in valueAndGrad(f)(x, dy) must be a tensor");const{grads:s,value:o}=r.a.gradients(()=>t(e),[e],n);return p(s),{grad:s[0],value:o}}}function l(t){return a.b(a.u(t),()=>"The f passed in valueAndGrads(f) must be a function"),(e,n)=>{a.b(Array.isArray(e)&&e.every(t=>t instanceof i.a),()=>"The args passed in valueAndGrads(f)(args) must be array of tensors"),a.b(null==n||n instanceof i.a,()=>"The dy passed in valueAndGrads(f)(args, dy) must be a tensor");const s=r.a.gradients(()=>t(...e),e,n);return null!=n&&a.e(s.value.shape,n.shape,"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),p(s.grads),s}}function h(t,e){a.b(a.u(t),()=>"The f passed in variableGrads(f) must be a function"),a.b(null==e||Array.isArray(e)&&e.every(t=>t instanceof i.c),()=>"The varList passed in variableGrads(f, varList) must be an array of variables");const n=null!=e;if(!n){e=[];for(const t in r.a.registeredVariables)e.push(r.a.registeredVariables[t])}const s=n?e.filter(t=>!t.trainable):null,o=e.length;e=e.filter(t=>t.trainable),a.b(e.length>0,()=>`variableGrads() expects at least one of the input variables to be trainable, but none of the ${o} variables is trainable.`);const{value:u,grads:c}=r.a.gradients(t,e,null,!0);a.b(c.some(t=>null!=t),()=>"Cannot find a connection between any variable and the result of the loss function y=f(x). 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jt{constructor(t){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=t.mean||this.DEFAULT_MEAN,this.stddev=t.stddev||this.DEFAULT_STDDEV,this.seed=t.seed}apply(t,e){if("float32"!==(e=e||"float32")&&"int32"!==e)throw new g(`randomNormal does not support dType ${e}.`);return _t(t,this.mean,this.stddev,e,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}}Ft.className="RandomNormal",l.serialization.registerClass(Ft);class zt extends jt{constructor(t){super(),this.DEFAULT_MEAN=0,this.DEFAULT_STDDEV=.05,this.mean=t.mean||this.DEFAULT_MEAN,this.stddev=t.stddev||this.DEFAULT_STDDEV,this.seed=t.seed}apply(t,e){if("float32"!==(e=e||"float32")&&"int32"!==e)throw new g(`truncatedNormal does not support dType ${e}.`);return Object(l.truncatedNormal)(t,this.mean,this.stddev,e,this.seed)}getConfig(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}}zt.className="TruncatedNormal",l.serialization.registerClass(zt);class Lt extends jt{constructor(t){super(),this.gain=null!=t.gain?t.gain:1}apply(t,e){return Object(l.tidy)(()=>{if(2!==t.length||t[0]!==t[1])throw new m("Identity matrix initializer can only be used for 2D square matrices.");return Object(l.mul)(this.gain,Object(l.eye)(t[0]))})}getConfig(){return{gain:this.gain}}}Lt.className="Identity",l.serialization.registerClass(Lt);class $t extends jt{constructor(t){if(super(),t.scale<0)throw new m("scale must be a positive float. Got: "+t.scale); /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */ var e;this.scale=null==t.scale?1:t.scale,this.mode=null==t.mode?"fanIn":t.mode,e=this.mode,E(It,"FanMode",e),this.distribution=null==t.distribution?"normal":t.distribution,function(t){E(Et,"Distribution",t)}(this.distribution),this.seed=t.seed}apply(t,e){const n=function(t,e="channelsLast"){let n,r;if(tt(e),2===t.length)n=t[0],r=t[1];else if(-1!==[3,4,5].indexOf(t.length)){if("channelsFirst"===e){const e=ct(t,2);n=t[1]*e,r=t[0]*e}else if("channelsLast"===e){const e=ct(t,0,t.length-2);n=t[t.length-2]*e,r=t[t.length-1]*e}}else{const e=ct(t);n=Math.sqrt(e),r=Math.sqrt(e)}return[n,r]}(t),r=n[0],i=n[1];let s=this.scale;if("fanIn"===this.mode?s/=Math.max(1,r):"fanOut"===this.mode?s/=Math.max(1,i):s/=Math.max(1,(r+i)/2),"normal"===this.distribution){const n=Math.sqrt(s);if("float32"!==(e=e||"float32")&&"int32"!==e)throw new g(`${this.getClassName()} does not support dType ${e}.`);return Object(l.truncatedNormal)(t,0,n,e,this.seed)}{const n=Math.sqrt(3*s);return Object(l.randomUniform)(t,-n,n,e)}}getConfig(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}}}$t.className="VarianceScaling",l.serialization.registerClass($t);class Bt extends $t{constructor(t){super({scale:1,mode:"fanAvg",distribution:"uniform",seed:null==t?null:t.seed})}getClassName(){return $t.className}}Bt.className="GlorotUniform",l.serialization.registerClass(Bt);class qt extends $t{constructor(t){super({scale:1,mode:"fanAvg",distribution:"normal",seed:null==t?null:t.seed})}getClassName(){return $t.className}}qt.className="GlorotNormal",l.serialization.registerClass(qt);class Vt extends $t{constructor(t){super({scale:2,mode:"fanIn",distribution:"normal",seed:null==t?null:t.seed})}getClassName(){return $t.className}}Vt.className="HeNormal",l.serialization.registerClass(Vt);class Ut extends $t{constructor(t){super({scale:2,mode:"fanIn",distribution:"uniform",seed:null==t?null:t.seed})}getClassName(){return $t.className}}Ut.className="HeUniform",l.serialization.registerClass(Ut);class Wt extends $t{constructor(t){super({scale:1,mode:"fanIn",distribution:"normal",seed:null==t?null:t.seed})}getClassName(){return $t.className}}Wt.className="LeCunNormal",l.serialization.registerClass(Wt);class Gt extends $t{constructor(t){super({scale:1,mode:"fanIn",distribution:"uniform",seed:null==t?null:t.seed})}getClassName(){return $t.className}}Gt.className="LeCunNormal",l.serialization.registerClass(Gt);class Ht extends jt{constructor(t){if(super(),this.DEFAULT_GAIN=1,this.gain=null==t.gain?this.DEFAULT_GAIN:t.gain,this.seed=t.seed,null!=this.seed)throw new g("Random seed is not implemented for Orthogonal Initializer yet.")}apply(t,e){return Object(l.tidy)(()=>{if(t.length<2)throw new g("Shape must be at least 2D.");t[0]*t[1]>2e3&&console.warn(`Orthogonal initializer is being called on a matrix with more than 2000 (${t[0]*t[1]}) elements: Slowness may result.`);const e=_t(t[0]>t[1]?[t[1],t[0]]:t,0,1,"float32");let n=l.linalg.gramSchmidt(e);return t[0]>t[1]&&(n=n.transpose()),Object(l.mul)(this.gain,n)})}getConfig(){return{gain:this.gain,seed:this.seed}}}Ht.className="Orthogonal",l.serialization.registerClass(Ht);const Kt={constant:"Constant",glorotNormal:"GlorotNormal",glorotUniform:"GlorotUniform",heNormal:"HeNormal",heUniform:"HeUniform",identity:"Identity",leCunNormal:"LeCunNormal",leCunUniform:"LeCunUniform",ones:"Ones",orthogonal:"Orthogonal",randomNormal:"RandomNormal",randomUniform:"RandomUniform",truncatedNormal:"TruncatedNormal",varianceScaling:"VarianceScaling",zeros:"Zeros"};function Qt(t,e={}){return C(t,l.serialization.SerializationMap.getMap().classNameMap,e,"initializer")}function Xt(t){return T(t)}function Yt(t){if("string"==typeof t){const e=t in Kt?Kt[t]:t;if("GlorotNormal"===e)return new qt;if("GlorotUniform"===e)return new Bt;if("HeNormal"===e)return new Vt;if("HeUniform"===e)return new Ut;if("LeCunNormal"===e)return new Wt;if("LeCunUniform"===e)return new Gt;{const t={};return t.className=e,t.config={},Qt(t)}}return t instanceof jt?t:Qt(t)} /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */function Jt(){return new Mt}function Zt(){return new Dt}function te(t){return new Rt(t)}function ee(t){return new Pt(t)}function ne(t){return new Ft(t)}function re(t){return new zt(t)}function ie(t){return new Lt(t)}function se(t){return new $t(t)}function ae(t){return new Bt(t)}function oe(t){return new qt(t)}function ue(t){return new Vt(t)}function ce(t){return new Ut(t)}function le(t){return new Wt(t)}function he(t){return new Gt(t)}function de(t){return new Ht(t)} /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */let pe=0;function fe(){return pe++}const me={};function ge(t=""){return t in me||(me[t]=0),me[t]+=1,t+me[t].toString()} /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */function be(t){return Array.isArray(t)&&Array.isArray(t[0])}function ye(t){return 0===t.length?[]:Array.isArray(t[0])?t:[t]}function ve(t){let e;if(Array.isArray(t)){if(1!==t.length)throw new m("Expected Tensor length to be 1; got "+t.length);e=t[0]}else e=t;return e}function we(t){if(Array.isArray(t)&&Array.isArray(t[0])){if(1===t.length)return(t=t)[0];throw new m("Expected exactly 1 Shape; got "+t.length)}return t} /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */function xe(t){let e=0;for(const n of t)0===n.shape.length?e+=1:e+=n.shape.reduce((t,e)=>t*e);return e} /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */class _e{constructor(t,e="float32",n="Variable",r=!0,i=null){this.dtype=null==e?"float32":e,this.shape=t.shape,this.id=fe(),n=null==n?"Variable":n,this.originalName=st(n),this.name=at(this.originalName),this.trainable_=r,this.constraint=i,this.val=l.variable(t,this.trainable_,this.name,this.dtype)}read(){return this.assertNotDisposed(),this.val}write(t){return this.assertNotDisposed(),function(t,e){if(t.shape.toString()!==e.shape.toString())throw new Error("Shape mismatch: "+JSON.stringify(t.shape)+" vs. "+JSON.stringify(e.shape))}(this.val,t),this.val.id!==t.id&&(this.val.assign(t),null!=this.constraint&&this.val.assign(this.constraint.apply(this.val))),this}dispose(){this.assertNotDisposed(),this.val.dispose()}assertNotDisposed(){if(this.val.isDisposed)throw new Error(`LayersVariable ${this.name} is already disposed.`)}get trainable(){return this.trainable_}set trainable(t){this.trainable_=t,this.val.trainable=t}}function Oe(t){return t.map(t=>t.read())}function Se(t){t.forEach(t=>{t[0].write(t[1])})} /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */ class ke{constructor(t){this.dtype=t.dtype,this.shape=t.shape,null!=t.shape?this.ndim=t.shape.length:this.ndim=t.ndim,this.maxNDim=t.maxNDim,this.minNDim=t.minNDim,this.axes=t.axes||{}}}class Te{constructor(t,e,n,r,i,s,a){this.dtype=t,this.shape=e,this.sourceLayer=n,this.inputs=r,this.callArgs=i,this.outputTensorIndex=a,this.id=fe(),null!=s&&(this.originalName=st(s),this.name=at(this.originalName)),this.rank=e.length}}let Ce=0;class Ae{constructor(t,e){this.callArgs=e,this.id=Ce++,this.outboundLayer=t.outboundLayer,this.inboundLayers=t.inboundLayers,this.nodeIndices=t.nodeIndices,this.tensorIndices=t.tensorIndices,this.inputTensors=t.inputTensors,this.outputTensors=t.outputTensors,this.inputMasks=t.inputMasks,this.outputMasks=t.outputMasks,this.inputShapes=t.inputShapes,this.outputShapes=t.outputShapes;for(const e of t.inboundLayers)null!=e&&e.outboundNodes.push(this);t.outboundLayer.inboundNodes.push(this)}getConfig(){const t=[];for(const e of this.inboundLayers)null!=e?t.push(e.name):t.push(null);return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:t,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}}}let Ne=0;class Ie extends l.serialization.Serializable{constructor(t={}){super(),this._callHook=null,this._addedWeightNames=[],this._stateful=!1,this.id=Ne++,this.activityRegularizer=null,this.inputSpec=null,this.supportsMasking=!1,this._trainableWeights=[],this._nonTrainableWeights=[],this._losses=[],this._updates=[],this._built=!1,this.inboundNodes=[],this.outboundNodes=[];let e=t.name;if(!e){const t=this.getClassName();e=O(t)+"_"+ge(t)}if(this.name=e,this.trainable_=null==t.trainable||t.trainable,null!=t.inputShape||null!=t.batchInputShape){let e;if(null!=t.batchInputShape)e=t.batchInputShape;else if(null!=t.inputShape){let n=null;null!=t.batchSize&&(n=t.batchSize),e=[n].concat(t.inputShape)}this.batchInputShape=e;let n=t.dtype;null==n&&(n=t.inputDType),null==n&&(n="float32"),this.dtype=n}null!=t.weights?this.initialWeights=t.weights:this.initialWeights=null,this._refCount=null,this.fastWeightInitDuringBuild=!1}static nodeKey(t,e){return t.name+"_ib-"+e.toString()}getNodeAtIndex(t,e){if(0===this.inboundNodes.length)throw new f(`The layer has never been called and thus has no defined ${e}.`);if(this.inboundNodes.length<=t)throw new m(`Asked to get ${e} at node ${t}, but the layer has only ${this.inboundNodes.length} inbound nodes.`);return this.inboundNodes[t]}getInputAt(t){return x(this.getNodeAtIndex(t,"input").inputTensors)}getOutputAt(t){return x(this.getNodeAtIndex(t,"output").outputTensors)}get input(){if(this.inboundNodes.length>1)throw new p("Layer "+this.name+' has multiple inbound nodes, hence the notion of "layer input" is ill-defined. Use `getInputAt(nodeIndex)` instead.');if(0===this.inboundNodes.length)throw new p("Layer "+this.name+" is not connected, no input to return.");return x(this.getNodeAtIndex(0,"input").inputTensors)}get output(){if(0===this.inboundNodes.length)throw new p("Layer "+this.name+" has no inbound nodes.");if(this.inboundNodes.length>1)throw new p("Layer "+this.name+' has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return x(this.getNodeAtIndex(0,"output").outputTensors)}get losses(){return this._losses}calculateLosses(){return this.losses.map(t=>t())}get updates(){return this._updates}get built(){return this._built}set built(t){this._built=t}get trainable(){return this.trainable_}set trainable(t){this._trainableWeights.forEach(e=>e.trainable=t),this.trainable_=t}get trainableWeights(){return this.trainable_?this._trainableWeights.filter(t=>t.trainable):[]}set trainableWeights(t){this._trainableWeights=t}get nonTrainableWeights(){return this.trainable?this._trainableWeights.filter(t=>!t.trainable).concat(this._nonTrainableWeights):this._trainableWeights.concat(this._nonTrainableWeights)}set nonTrainableWeights(t){this._nonTrainableWeights=t}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}get stateful(){return this._stateful}resetStates(){if(!this.stateful)throw new Error("Cannot call the resetStates() method of a non-stateful Layer object.")}assertInputCompatibility(t){if(t=_(t),null==this.inputSpec||0===this.inputSpec.length)return;const e=_(this.inputSpec);if(t.length!==e.length)throw new m(`Layer ${this.name} expects ${e.length} inputs, but it received ${t.length} input tensors. Input received: `+t);for(let n=0;ni.maxNDim)throw new m(`Input ${n} is incompatible with layer ${this.name}: expected max_ndim=${i.maxNDim}, found ndim=${s}`);if(null!=i.minNDim&&s=0?t[r]:t[t.length+r];if(null!=s&&-1===[s,null].indexOf(a))throw new m(`Input ${n} is incompatible with layer ${this.name}: expected axis ${r} of input shape to have value ${s} but got shape ${t}.`)}}if(null!=i.shape)for(let t=0;t{if(!this.built){this.assertInputCompatibility(t);const e=[];for(const n of _(t))e.push(n.shape);this.build(x(e)),this.built=!0,this.initialWeights&&this.setWeights(this.initialWeights),null===this._refCount&&i&&(this._refCount=1)}if(this.assertInputCompatibility(t),i){let r=this.call(t,e);const i=_(r),s=[];for(let t of i)-1!==n.indexOf(t)&&(t=t.clone()),s.push(t);if(r=x(s),null!=this.activityRegularizer)throw new g("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return r}{const n=function(t){t=_(t);const e=[];for(const n of t)e.push(n.shape);return x(e)}(t),r=this.computeOutputShape(n);let i;const s="float32";if(this.warnOnIncompatibleInputShape(Array.isArray(t)?n[0]:n),i=null!=r&&r.length>0&&Array.isArray(r[0])?r.map((n,r)=>new Te(s,n,this,_(t),e,this.name,r)):new Te(s,r,this,_(t),e,this.name),this.addInboundNode(t,i,null,null,n,r,e),this._refCount++,null!=this.activityRegularizer)throw new g("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return i}})}warnOnIncompatibleInputShape(t){if(null!=this.batchInputShape)if(t.length!==this.batchInputShape.length)console.warn("The rank of the input tensor provided (shape: "+JSON.stringify(t)+") does not match that of the "+`batchInputShape (${JSON.stringify(this.batchInputShape)}) of the layer `+this.name);else{let e=!1;this.batchInputShape.forEach((n,r)=>{null!=n&&null!=t[r]&&t[r]!==n&&(e=!0)}),e&&console.warn(`The shape of the input tensor (${JSON.stringify(t)}) does not match the expectation of layer ${this.name}: `+JSON.stringify(this.batchInputShape))}}get outputShape(){if(null==this.inboundNodes||0===this.inboundNodes.length)throw new p(`The layer ${this.name} has never been called and thus has no defined output shape.`);const t=[];for(const e of this.inboundNodes){const n=JSON.stringify(e.outputShapes);-1===t.indexOf(n)&&t.push(n)}if(1===t.length){const t=this.inboundNodes[0].outputShapes;return Array.isArray(t)&&Array.isArray(t[0])&&1===t.length?t[0]:t}throw new p(`The layer ${this.name} has multiple inbound nodes with different output shapes. Hence the notion of "output shape" is ill-defined for the layer.`)}countParams(){if(!this.built)throw new f(`You tried to call countParams() on ${this.name}, but the layer is not built yet. Build it first by calling build(batchInputShape).`);return xe(this.weights)}build(t){this.built=!0}getWeights(t=!1){return Oe(t?this.trainableWeights:this.weights)}setWeights(t){Object(l.tidy)(()=>{const e=this.weights;if(e.length!==t.length)throw new m(`You called setWeights(weights) on layer "${this.name}" with a weight list of length ${t.length}, but the layer was expecting ${e.length} weights. Provided weights: ${t}...`);if(0===e.length)return;const n=[],r=Oe(e);for(let i=0;ii.apply(u.read())),null==s&&(s=!0),s?this._trainableWeights.push(u):this._nonTrainableWeights.push(u),u}setFastWeightInitDuringBuild(t){this.fastWeightInitDuringBuild=t}addLoss(t){null==t||Array.isArray(t)&&0===t.length||(t=_(t),void 0!==this._losses&&null!==this._losses&&this.losses.push(...t))}computeOutputShape(t){return t}computeMask(t,e){if(!this.supportsMasking){if(null!=e){if(!Array.isArray(e))throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`);e.forEach(t=>{if(null!=t)throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`)})}return null}return e}addInboundNode(t,e,n,r,i,s,a=null){const o=_(t);e=_(e),n=_(n),r=_(r),i=ye(i),s=ye(s);const u=[],c=[],l=[];for(const t of o)u.push(t.sourceLayer),c.push(t.nodeIndex),l.push(t.tensorIndex);new Ae({outboundLayer:this,inboundLayers:u,nodeIndices:c,tensorIndices:l,inputTensors:o,outputTensors:e,inputMasks:n,outputMasks:r,inputShapes:i,outputShapes:s},a);for(let t=0;tt.dispose()),this.weights.length}assertNotDisposed(){if(0===this._refCount)throw new Error(`Layer '${this.name}' is already disposed.`)}dispose(){if(!this.built)throw new Error(`Cannot dispose Layer ${this.name} because it has not been built yet.`);if(null===this._refCount)throw new Error(`Cannot dispose Layer ${this.name} because it has not been used yet.`);this.assertNotDisposed();let t=0;return 0==--this._refCount&&(t=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:t}}} /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */ class Ee extends Ie{constructor(t){if(super({dtype:t.dtype,name:null!=t.name?t.name:ge("input").toString()}),null==t.batchSize&&(t.batchSize=null),null==t.sparse&&(t.sparse=!1),this.trainable=!1,this.built=!0,this.sparse=t.sparse,null!=t.inputShape&&null!=t.batchInputShape)throw new m("Only provide the inputShape OR batchInputShape argument to inputLayer, not both at the same time.");let e=t.batchInputShape;if(null==e){if(null==t.inputShape)throw new m("An InputLayer should be passed either a `batchInputShape` or an `inputShape`.");e=[t.batchSize].concat(t.inputShape)}else if(null!=t.batchSize)throw new m("Cannot specify batchSize if batchInputShape is specified when creating an InputLayer.");const n=t.dtype||"float32";this.batchInputShape=e,this.dtype=n,this.inputSpec=[{shape:e}];const r=new Te(this.dtype,this.batchInputShape,this,[],{},this.name);r.nodeIndex=0,r.tensorIndex=0,new Ae({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:[r],outputTensors:[r],inputMasks:[null],outputMasks:[null],inputShapes:[e],outputShapes:[e]})}apply(t,e){throw new m("Cannot pass any input to an InputLayer's apply() method. InputLayer name: "+this.name)}dispose(){return{refCountAfterDispose:this._refCount,numDisposedVariables:0}}getConfig(){return{batchInputShape:this.batchInputShape,dtype:this.dtype,sparse:this.sparse,name:this.name}}}function je(t){if(null==t.batchShape&&null==t.shape)throw new Error("Please provide to Input either a `shape` or a `batchShape` argument. Note that `shape` does not include the batch dimension.");if(null!=t.batchShape&&null!=t.shape)throw new m("Please provide either a `shape` or `batchShape` argument to Input, but not both.");let e=t.batchShape;null!=t.shape&&null==e&&(e=[null].concat(t.shape));let n=t.dtype;null==n&&(n="float32");return new Ee({batchInputShape:e,name:t.name,dtype:n,sparse:t.sparse}).inboundNodes[0].outputTensors[0]} /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */async function Me(t){if(null==t)return;const e=[],n=[],r=[];for(const i in t){const s=t[i];if("number"!=typeof s){const t=s;e.push(t.data()),n.push(i),r.push(t)}}if(e.length>0){const i=await Promise.all(e);for(let e=0;eObject(l.add)(this.totals[t],Object(l.mul)(r,n)));this.totals[t]=i,null!=e&&e.dispose()}}}async onEpochEnd(t,e){if(null!=e)for(const t of this.params.metrics)null!=this.totals[t]&&("number"==typeof this.totals[t]?e[t]=this.totals[t]/this.seen:Object(l.tidy)(()=>{const n=Object(l.mul)(Object(l.div)(1,this.seen),this.totals[t]);e[t]=n,this.totals[t].dispose(),Object(l.keep)(e[t])}))}}class Le extends Pe{async onTrainBegin(t){this.epoch=[],this.history={}}async onEpochEnd(t,e){null==e&&(e={}),this.epoch.push(t);for(const t in e)null==this.history[t]&&(this.history[t]=[]),this.history[t].push(e[t])}async syncData(){const t=[],e=[],n=[];for(const r in this.history){const i=this.history[r];for(let s=0;s{const s=l.util.now();return s-rnew $e(t,e))}class qe{constructor(){}static registerCallbackConstructor(t,e){l.util.assert(t>=0&&Number.isInteger(t),()=>"Verbosity level is expected to be an integer >= 0, but got "+t),qe.checkForDuplicate(e),null==qe.constructors[t]&&(qe.constructors[t]=[]),qe.constructors[t].push(e)}static checkForDuplicate(t){for(const e in qe.constructors){qe.constructors[+e].forEach(e=>{if(e===t)throw new m("Duplicate callback constructor.")})}}static clear(){qe.constructors={}}static createCallbacks(t){const e=[];for(const n in qe.constructors){const r=+n;t>=r&&e.push(...qe.constructors[r])}return e.map(t=>new t)}}function Ve(t,e,n,r,i,s,a,o,u){const c=new Le,l=[new ze,...qe.createCallbacks(e)];null!=t&&l.push(...t),l.push(c);const h=new Fe(l);return h.setParams({epochs:n,initialEpoch:r,samples:i,steps:s,batchSize:a,verbose:e,doValidation:o,metrics:u}),{callbackList:h,history:c}} /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */function Ue(t,e={},n=!1){return C(t,l.serialization.SerializationMap.getMap().classNameMap,e,"layer",n)} /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */function We(t,e){return Object(l.tidy)(()=>{"float32"!==t.dtype&&(t=t.asType("float32"));const n=l.sum(kt(t),e,!0),r=l.fill(n.shape,d()),i=l.sqrt(l.maximum(n,r));return l.div(t,i)})}function Ge(t,e){return Object(l.tidy)(()=>l.mean(kt(l.sub(e,t)),-1))}function He(t,e){return Object(l.tidy)(()=>l.mean(l.abs(l.sub(e,t)),-1))}function Ke(t,e){return Object(l.tidy)(()=>{const n=l.sub(t,e),r=l.clipByValue(l.abs(t),d(),Number.MAX_VALUE),i=l.abs(l.div(n,r));return l.mul(100,l.mean(i,-1))})}function Qe(t,e){return Object(l.tidy)(()=>{const n=l.clipByValue(e,d(),Number.MAX_VALUE),r=l.log(l.add(1,n)),i=l.clipByValue(t,d(),Number.MAX_VALUE),s=l.log(l.add(1,i));return l.mean(kt(l.sub(r,s)),-1)})}function Xe(t,e,n=!1){return Object(l.tidy)(()=>{if(n)e=l.softmax(e);else{const t=l.sum(e,e.shape.length-1,!0);e=l.div(e,t)}return e=l.clipByValue(e,d(),1-d()),l.neg(l.sum(l.mul(t.toFloat(),l.log(e)),e.shape.length-1))})}function Ye(t,e,n=!1){return Object(l.tidy)(()=>{const r=l.floor(function(t){const e=[ct(t.shape)];return t.reshape(e)}(t)).toInt(),i=(e=l.clipByValue(e,d(),1-d())).shape;return Xe(l.oneHot(r,i[i.length-1]).reshape(i),e,n)})}function Je(t,e){return Object(l.tidy)(()=>{let n;return n=l.clipByValue(e,d(),1-d()),n=l.log(l.div(n,l.sub(1,n))),l.mean(function(t,e){if(!l.util.arraysEqual(t.shape,e.shape))throw new m(`logits and labels must have the same shape, but got shapes ${JSON.stringify(t.shape)} and ${JSON.stringify(e.shape)}`);return Object(l.tidy)(()=>{const n=e.relu(),r=e.abs().neg();return n.sub(e.mul(t)).add(r.exp().log1p())})}(t,n),-1)})}function Ze(t,e){return Object(l.tidy)(()=>{const n=l.clipByValue(t,d(),1),r=l.clipByValue(e,d(),1);return l.sum(l.mul(t,l.log(l.div(n,r))),-1)})}function tn(t,e){return Object(l.tidy)(()=>{const n=We(t,-1),r=We(e,-1),i=l.mul(n,r);return l.neg(l.sum(i,-1))})}qe.constructors={};const en={meanSquaredError:Ge,meanAbsoluteError:He,meanAbsolutePercentageError:Ke,meanSquaredLogarithmicError:Qe,squaredHinge:function(t,e){return Object(l.tidy)(()=>{const n=l.maximum(0,l.sub(1,l.mul(t,e)));return l.mean(kt(n),-1)})},hinge:function(t,e){return Object(l.tidy)(()=>{const n=l.maximum(0,l.sub(1,l.mul(t,e)));return l.mean(n,-1)})},categoricalHinge:function(t,e){return Object(l.tidy)(()=>{const n=l.sum(l.mul(t,e),-1),r=l.max(l.mul(l.sub(1,t),e),-1);return l.maximum(0,l.add(1,l.sub(r,n)))})},logcosh:function(t,e){return Object(l.tidy)(()=>{const n=Math.log(2),r=l.sub(e,t),i=l.sub(l.add(r,l.softplus(l.mul(-2,r))),n);return l.mean(i,-1)})},categoricalCrossentropy:Xe,sparseCategoricalCrossentropy:Ye,binaryCrossentropy:Je,kullbackLeiblerDivergence:Ze,poisson:function(t,e){return Object(l.tidy)(()=>{const n=l.log(l.add(d(),e));return l.mean(l.sub(e,l.mul(t,n)),-1)})},cosineProximity:tn};function nn(t){if("string"==typeof t){if(t in en)return en[t];let e="Unknown loss "+t;throw t.toLowerCase().includes("softmaxcrossentropy")&&(e=`Unknown loss ${t}. Use "categoricalCrossentropy" as the string name for tf.losses.softmaxCrossEntropy`),new m(e)}return t} /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */function rn(t,e){return Object(l.tidy)(()=>{const n=l.mul(.5,l.onesLike(e)),r=ft(l.greater(e,n),t.dtype);return l.mean(l.equal(t,r),-1)})}function sn(t,e){return Object(l.tidy)(()=>ft(l.equal(l.argMax(t,-1),l.argMax(e,-1)),"float32"))}function an(t,e){return Object(l.tidy)(()=>l.logicalAnd(t.equal(1),e.equal(1)).sum().cast("float32"))}function on(t,e){return Object(l.tidy)(()=>{const n=an(t,e),r=function(t,e){return Object(l.tidy)(()=>l.logicalAnd(t.equal(0),e.equal(1)).sum().cast("float32"))}(t,e),i=n.add(r);return l.where(l.greater(i,0),n.div(i),0).cast("float32")})}function un(t,e){return Object(l.tidy)(()=>{const n=an(t,e),r=function(t,e){return Object(l.tidy)(()=>l.logicalAnd(t.equal(1),e.equal(0)).sum().cast("float32"))}(t,e),i=n.add(r);return l.where(l.greater(i,0),n.div(i),0).cast("float32")})}function cn(t,e){return Je(t,e)}function ln(t,e){return t.rank===e.rank&&(t=t.squeeze([t.rank-1])),(e=e.argMax(-1)).dtype!==t.dtype&&(e=e.asType(t.dtype)),l.equal(t,e).asType("float32")}const hn=Xe,dn=Ye,pn={binaryAccuracy:rn,categoricalAccuracy:sn,precision:on,categoricalCrossentropy:hn,sparseCategoricalCrossentropy:dn,mse:Ge,MSE:Ge,mae:He,MAE:He,mape:Ke,MAPE:Ke,cosine:tn};function fn(t){if("string"==typeof t&&t in pn)return pn[t];if("string"!=typeof t&&null!=t)return t;throw new m("Unknown metric "+t)}function mn(t){if(v(null!==t,"Unknown LossOrMetricFn "+t),"string"==typeof t)return t;{let e;for(const n of Object.keys(en))if(en[n]===t){e=n;break}if(void 0!==e)return e;for(const n of Object.keys(pn))if(pn[n]===t){e=n;break}return void 0!==e?e:t.name}} /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */function gn(t,e,n=!1){if(null==t||"object"!=typeof t||Object.getPrototypeOf(t)!==Object.prototype||!function t(e){if(null===e)return!0;if("object"==typeof e){if(Object.getPrototypeOf(e)===Object.prototype){const n=Object.keys(e);for(const r of n){if("string"!=typeof r)return!1;if(!t(e[r]))return!1}return!0}if(Array.isArray(e)){for(const n of e)if(!t(n))return!1;return!0}return!1}{const t=typeof e;return"string"===t||"number"===t||"boolean"===t}} /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */(t))throw new Error("User-defined metadata is expected to be a JSON object, but is not.");if(n){const n=JSON.stringify(t);n.length>1048576&&console.warn(`User-defined metadata of model "${e}" is too large in size (length=${n.length} when serialized). 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Please make sure its serialized length is <= 1048576.`)}}function bn(t,e,n,r=console.log){const i=function(t){let e=!0;const n=[],r=[];for(const e in t.nodesByDepth)n.push(t.nodesByDepth[e]);for(const t of n){if(t.length>1||1===t.length&&t[0].inboundLayers.length>1){e=!1;break}r.push(...t)}if(e)for(const n of t.layers){let t=!1;for(const i of n.inboundNodes)if(-1!==r.indexOf(i)){if(t){e=!1;break}t=!0}if(!e)break}return e}(t),s=["Layer (type)","Output shape","Param #"];let a;if(i?(e=e||65,n=n||[.45,.85,1]):(e=e||98,n=n||[.33,.55,.67,1]),n[n.length-1]<=1&&(n=n.map(t=>Math.floor(e*t))),!i){s.push("Receives inputs"),a=[];for(const e in t.nodesByDepth)a.push(...t.nodesByDepth[e])}r("_".repeat(e)),yn(s,n,r),r("=".repeat(e));const o=t.layers;for(let t=0;t0&&(r=r.slice(0,r.length-1)+" "),r+=t[n],r=r.slice(0,e[n]),r+=" ".repeat(e[n]-r.length);n(r)}function vn(t,e,n){let r;try{r=JSON.stringify(t.outputShape)}catch(t){r="multiple"}yn([`${t.name} (${t.getClassName()})`,r,t.countParams().toString()],e,n)}function wn(t,e,n,r){let i;try{i=JSON.stringify(t.outputShape)}catch(t){i="multiple"}const s=[];for(const e of t.inboundNodes)if(!(null!=n&&n.length>0&&-1===n.indexOf(e)))for(let t=0;tt.name),u=[],c=e.names();for(const t of o)-1!==c.indexOf(t)?u.push(e.getValue(t)):u.push(null);null!=r&&(r.maxNumTensors=-1/0,r.minNumTensors=1/0);const h=o.join(",")+"|"+e.names().join(",");let d,p;if(null==kn[h]){const t=function(t,e){l.util.assert(null!=t&&t.length>0,()=>"Expected at least one fetch, got none");let n=[],r={};if(1===t.length){const i=Nn(t[0],e);n=i.sorted,r=i.recipientMap}else{const i=new Set;for(const s of t){const{sorted:t,recipientMap:a}=Nn(s,e);for(const e of t)i.has(e.name)||(n.push(e),i.add(e.name));for(const t in a)null==r[t]&&(r[t]=new Set),a[t].forEach(e=>r[t].add(e))}}return{sorted:n,recipientCounts:An(r)}}(a,e);d=t.sorted,p=t.recipientCounts,kn[h]=d,Tn[h]=p}d=kn[h],p={},i||Object.assign(p,Tn[h]);const f=new Sn(e);for(let t=0;tr.maxNumTensors&&(r.maxNumTensors=t),t0;){const t=s[s.length-1];if(n.has(t.name)){s.pop();continue}const e=a[a.length-1]===s.length-1;if(0===t.inputs.length||e)s.pop(),r.push(t),n.add(t.name),e&&a.pop();else{a.push(s.length-1);for(const e of t.inputs)null==i[e.name]&&(i[e.name]=new Set),i[e.name].add(t.name),n.has(e.name)||s.push(e)}}return{sorted:r,recipientMap:i}}function In(t){let e;if(1===t.sourceLayer.inboundNodes.length)e=t.sourceLayer.output;else{let n=null;for(let e=0;et.name));N(this.outputs).length!==this.outputs.length&&console.warn("The list of outputs passed to the model is redundant. All outputs should only appear once. Found: "+this.outputs.map(t=>t.name)),this.inputLayers=[],this.inputLayersNodeIndices=[],this.inputLayersTensorIndices=[],this.outputLayers=[],this.outputLayersNodeIndices=[],this.outputLayersTensorIndices=[],this.layers=[],this.internalContainerRefs=[];for(const t of this.outputs){const e=t.sourceLayer,n=t.nodeIndex,r=t.tensorIndex;this.outputLayers.push(e),this.outputLayersNodeIndices.push(n),this.outputLayersTensorIndices.push(r)}for(const t of this.inputs){const e=t.sourceLayer,n=t.nodeIndex,r=t.tensorIndex;v(0===n,"input layer has >1 nodes"),v(0===r,"input layer has >1 tensors"),this.inputLayers.push(e),this.inputLayersNodeIndices.push(n),this.inputLayersTensorIndices.push(r)}this.inputNames=[],this.outputNames=[],this.feedInputShapes=[],this.feedInputNames=[],this.feedOutputNames=[];for(let e=0;et.shape),this.internalOutputShapes=this.outputs.map(t=>t.shape);const e={},n={},r={},i={},s={},a=[],o=(t,e,n,r,i,u)=>{null!=r&&null!=i&&null!=u||(r=t.sourceLayer,i=t.nodeIndex,u=t.tensorIndex);const c=r.inboundNodes[i];if(-1!==n.indexOf(c))throw new f(`The tensor ${t.name} at layer "${r.name}" is part of a cycle.`);if(-1!==e.indexOf(c))return;this.containerNodes.add(En.nodeKey(r,i)),r.id in s||(s[r.id]=Object.keys(s).length),-1===n.indexOf(c)&&n.push(c);const l=c.inboundLayers.length;for(let t=0;t=0;)n.splice(n.indexOf(c),1);a.push(c)},u=[],c=[];for(const t of this.outputs)o(t,u,c);const l=a.slice().reverse();for(const t of l){n[t.id]=t,t.id in e||(e[t.id]=0);let s=e[t.id];const a=null==r[t.outboundLayer.id]?0:r[t.outboundLayer.id];s=Math.max(s,a),r[t.outboundLayer.id]=s,i[t.outboundLayer.id]=t.outboundLayer,e[t.id]=s;for(let r=0;rparseInt(t,10)).sort(A);this.layers=[];for(const t of p){const e=d[t];e.sort((t,e)=>{const n=s[t.id],r=s[e.id];return nr?1:0});for(const t of e)t instanceof En&&this.internalContainerRefs.push(t),this.layers.push(t)}this.layersByDepth=d,p=Object.keys(h).map(t=>parseInt(t,10)).sort(A);const g=this.inputs.slice(),b=[];for(const t of p)for(const e of h[t]){const t=e.outboundLayer;if(null!=t){for(const n of e.inputTensors)if(-1===g.indexOf(n))throw new f("Graph disconnected: cannot obtain value for tensor "+n+` at layer "${t.name}". The following previous layers were accessed without issue: `+b);for(const t of e.outputTensors)g.push(t);b.push(t.name)}}this.nodesByDepth=h;const y=this.layers.map(t=>t.name);for(const t of y){const e=y.filter(e=>e===t).length;if(1!==e)throw new f(`The name "${t}" is used ${e} times in the model. All layer names should be unique. Layer names: `+JSON.stringify(y))}this.outboundNodes=[],this.inboundNodes=[],new Ae({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:this.inputs.map(t=>null),outputMasks:this.outputs.map(t=>null),inputShapes:this.inputs.map(t=>t.shape),outputShapes:this.outputs.map(t=>t.shape)}),this.built=!0,this._refCount=1}assertNotDisposed(){if(0===this._refCount)throw new Error(`Container '${this.name}' is already disposed.`)}dispose(){this.assertNotDisposed();const t={refCountAfterDispose:null,numDisposedVariables:0};if(0==--this._refCount){for(const e of this.layers)t.numDisposedVariables+=e.dispose().numDisposedVariables;for(const e of this.internalContainerRefs)t.numDisposedVariables+=e.dispose().numDisposedVariables}return t.refCountAfterDispose=this._refCount,t}get trainable(){return this.trainable_}set trainable(t){this.layers.forEach(e=>{e._trainableWeights.forEach(e=>e.trainable=t)}),this.trainable_=t}get trainableWeights(){if(this._trainableWeights.length>0)throw new m("Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.");if(!this.trainable)return[];let t=[];for(const e of this.layers)t=t.concat(e.trainableWeights);return t}get nonTrainableWeights(){const t=[];for(const e of this.layers)t.push(...e.nonTrainableWeights);if(!this.trainable){const e=[];for(const t of this.layers)e.push(...t.trainableWeights);return e.concat(t)}return t}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}loadWeights(t,e=!0){const n={};let r=0;for(const t of this.layers)for(const e of t.weights){if(null!=n[e.originalName])throw new m("Duplicate weight name: "+e.originalName);n[e.originalName]=e,r++}const i=[];for(const r in t){let s=r;if(null==n[r]){const t=r.split("/");s=t.slice(0,-2).concat([t[t.length-1]]).join("/")}if(null!=n[s])i.push([n[s],t[r]]);else if(e)throw new m("Provided weight data has no target variable: "+r);delete n[s]}if(e){const t=[];for(const e in n)t.push(e);if(t.length>0)throw new m(`${t.length} of ${r} weights are not set: `+t)}Se(i)}updatedConfig(){const t=this.getConfig(),e={};return e.className=this.getClassName(),e.config=t,e.kerasVersion="tfjs-layers "+On,e.backend="TensorFlow.js",e}toJSON(t,e=!0){const n=function t(e,n){if(null==e)return null;if("string"==typeof e)return O(e);if("number"==typeof e||"boolean"==typeof e)return e;if(e instanceof Array){const r=[],i=e.length;for(let s=0;s{t=_(t);const n=new Sn;for(let e=0;e{let n;return t=_(t),n=null==e?y(null,t.length):_(e),this.runInternalGraph(t,n)[1]})}computeOutputShape(t){const e=ye(t);if(e.length!==this.inputLayers.length)throw new m(`Invalid inputShape argument ${t}: model has ${this.inputLayers.length} tensor inputs.`);const n={};for(let t=0;tparseInt(t,10)).sort(A);if(r.length>1)for(const t of r){const e=this.nodesByDepth[t];for(const t of e){const e=t.outboundLayer;if(-1!==this.inputLayers.map(t=>t.id).indexOf(e.id))continue;const r=[];for(let e=0;eparseInt(t,10)).sort(A);for(const t of r){const e=this.nodesByDepth[t];for(const t of e){const e=t.outboundLayer,r=t.inputTensors,i=t.outputTensors,s=new Array;for(const t of r)t.id in n&&s.push(n[t.id]);if(s.length===r.length){let r,a,o,u,c={};if(null!=t.callArgs&&(c=t.callArgs),1===s.length){const[t,n]=s[0];null==c.mask&&(c.mask=n),o=_(e.call(t,c)),u=_(e.computeMask(t,n)),r=[t],a=[n]}else r=s.map(t=>t[0]),a=s.map(t=>t[1]),null==c.mask&&(c.mask=a),o=_(e.call(r,c)),u=_(e.computeMask(r,a));if(e.activityRegularizer)throw new g("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(let t=0;t{const t=[];for(const e of this.layers)for(let n=0;n0){const t=[];for(let n=0;n0&&t.apply(x(n),r)}function u(t){const n=t.name,s=Ue(t,null!=e.customObjects?e.customObjects:{});s.setFastWeightInitDuringBuild(r),i[n]=s;t.inboundNodes.forEach(t=>{if(!(t instanceof Array))throw new m("Corrupted configuration, expected array for nodeData: "+t);a(s,t)})}const c=e.name,l=e.layers;for(const t of l)u(t);for(;!I(s);)for(const t of l){const e=i[t.name];if(e.name in s){const t=s[e.name];delete s[e.name];for(const n of t)o(e,n)}}const h=[],d=[],p=e.inputLayers;for(const t of p){const e=t[0],n=t[1],r=t[2];v(e in i);const s=i[e].inboundNodes[n].outputTensors;h.push(s[r])}const f=e.outputLayers;for(const t of f){const e=t[0],n=t[1],r=t[2];v(e in i);const s=i[e].inboundNodes[n].outputTensors;d.push(s[r])}return new t({inputs:h,outputs:d,name:c})}get stateful(){if(this._stateful)throw new m("Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.");for(const t of this.layers)if(t.stateful)return!0;return!1}resetStates(){Object(l.tidy)(()=>{this.layers.forEach(t=>{t.stateful&&t.resetStates()})})}} /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */function jn(t,e,n){const r=e.length;if(null==t||Array.isArray(t)&&0===t.length)return e.map(t=>null);if(1===r)return Array.isArray(t)&&1===t.length?t:"object"==typeof t&&e[0]in t?[t[e[0]]]:[t];if(Array.isArray(t)){if(t.length!==r)throw new Error(`Provided ${n} is an array of ${t.length} element(s), but the model has ${r} outputs. Make sure a set of weights is provided for each model output.`);return t}if("object"==typeof t&&Object.keys(t).length>0&&"object"==typeof t[Object.keys(t)[0]]){const n=[];return e.forEach(e=>{e in t?n.push(t[e]):n.push(null)}),n}throw new Error(`The model has multiple (${r}) outputs, so ${n} must be either an array with ${r} elements or an object with ${e} keys. Provided ${n} not understood: ${JSON.stringify(t)}`)}function Mn(t,e){return jn(t,e,"classWeight")}async function Dn(t,e,n,r){if(null!=e||null!=r)throw new Error("Support sampleWeight is not implemented yet");if(null!=n){const e=Object(l.tidy)(()=>{if(1===t.shape.length)return t.clone();if(2===t.shape.length){if(t.shape[1]>1){const e=1;return t.argMax(e)}if(1===t.shape[1])return t.reshape([t.shape[0]]);throw new Error(`Encountered unexpected last-dimension size (${t.shape[1]}) during handling of class weights. 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l.io.encodeWeights(this.getNamedWeights(e)),r={modelTopology:this.toJSON(null,!1),format:"layers-model",generatedBy:"TensorFlow.js tfjs-layers v"+On,convertedBy:null};if(null!=e&&e.includeOptimizer&&null!=this.optimizer){r.trainingConfig=this.getTrainingConfig();const t="optimizer",{data:e,specs:i}=await l.io.encodeWeights(await this.optimizer.getWeights(),t);n.specs.push(...i),n.data=l.io.concatenateArrayBuffers([n.data,e])}if(null!=this.userDefinedMetadata){const t=!0;gn(this.userDefinedMetadata,this.name,t),r.userDefinedMetadata=this.userDefinedMetadata}return r.weightData=n.data,r.weightSpecs=n.specs,t.save(r)}setUserDefinedMetadata(t){gn(t,this.name),this.userDefinedMetadata=t}getUserDefinedMetadata(){return this.userDefinedMetadata}}Yn.className="Model",l.serialization.registerClass(Yn);class Jn extends Yn{} /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */ async function Zn(t,e){"modelTopology"in t||(t={modelTopology:t});let n=(t=t).modelTopology;null!=n.model_config&&(n=n.model_config);const r=Ue(_n(n),e);if(null!=t.weightsManifest){const e=await l.io.loadWeights(t.weightsManifest,t.pathPrefix,r.weights.map(t=>t.originalName)),n={};for(const t of r.weights)n[t.originalName]=e[t.originalName];r.loadWeights(n),Object(l.dispose)(e)}return r}async function tr(t,e){if(null==e&&(e={}),"string"==typeof t){const n=l.io.getLoadHandlers(t,e);if(0===n.length)n.push(l.io.browserHTTPRequest(t,e));else if(n.length>1)throw new m(`Found more than one (${n.length}) load handlers for URL '${t}'`);t=n[0]}return async function(t,e,n){null==n&&(n={});if(null==t.load)throw new m("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");const r=await t.load();let i=r.modelTopology;null!=i.model_config&&(i=i.model_config);const s=null==n.strict||n.strict,a=null!=r.weightData&&null!=r.weightSpecs&&s,o=Ue(_n(i),e,a),u=r.trainingConfig;null!=u&&o.loadTrainingConfig(u);null!=r.userDefinedMetadata&&o.setUserDefinedMetadata(r.userDefinedMetadata);if(null!=r.weightData){if(null==r.weightSpecs)throw new m("LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.");const{modelWeights:t,optimizerWeights:e}=function(t,e){const n=l.io.decodeWeights(t,e),r={},i=[];return e.forEach(t=>{"optimizer"===t.group?i.push({name:t.name,tensor:n[t.name]}):r[t.name]=n[t.name]}),{modelWeights:r,optimizerWeights:i}}(r.weightData,r.weightSpecs);o.loadWeights(t,s),null!=o.optimizer&&e.length>0&&await o.optimizer.setWeights(e),Object(l.dispose)(t),Object(l.dispose)(e.map(t=>t.tensor))}return o}(t,void 0,e)}Jn.className="Functional",l.serialization.registerClass(Jn);class er extends Yn{constructor(t){if(super({inputs:[],outputs:[]}),t=t||{},this.trainable=!0,this.built=!1,this.name=null!=t.name?t.name:ge("sequential_"),null!=t.layers)for(const e of t.layers)this.add(e)}checkShape(t){if(t.inboundNodes[0].outputTensors[0].shape.some(t=>t<0))throw new m("Negative dimension size caused by adding layer "+t.name+" with input shape ["+t.inboundNodes[0].inputTensors[0].shape+"]")}add(t){const e=t instanceof er||t instanceof Yn;let n;if(e){if(n=t,1!==n.outputs.length)throw new m("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");if(1!==n.inputs.length)throw new m("All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.")}if(0===this.outputs.length){if(0===t.inboundNodes.length){if(null==t.batchInputShape)throw new m("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");const e=je({batchShape:t.batchInputShape,dtype:t.dtype,name:t.name+"_input"});t.apply(e)}if(e)this.outputs=n.outputs,this.inputs=n.inputs;else{if(1!==t.inboundNodes.length)throw new m(`A layer added to a Sequential model must not already be connected somewhere else. LayersModel received layer ${t.name} which has ${t.inboundNodes.length} pre-existing inbound connections.`);if(1!==t.inboundNodes[0].outputTensors.length)throw new m("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(t),this.outputs=[t.inboundNodes[0].outputTensors[0]],this.inputs=function t(e,n,r){if((null==n||null!=r&&r>0)&&(n=e.sourceLayer,r=e.nodeIndex),0===n.inboundNodes.length)return[e];{const e=n.inboundNodes[r];if(0===e.inboundLayers.length)return e.inputTensors;{const n=[];for(let r=0;rt.shape),outputShapes:this.outputs[0].shape})}else{const e=t.apply(this.outputs[0]);if(Array.isArray(e))throw new TypeError("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(t),this.outputs=[e],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(t),this.built=!1}pop(){if(0===this.layers.length)throw new TypeError("There are no layers in the model.");if(this.layers.pop(),0===this.layers.length)this.outputs=[],this.inboundNodes=[],this.outboundNodes=[];else{const t=this.layers.length-1;this.layers[t].outboundNodes=[],this.outputs=[this.layers[t].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}}call(t,e){return null==this.model&&this.build(),this.model.call(t,e)}build(t){if(we(t),0===this.inputs.length||0===this.outputs.length)throw new TypeError("Sequential model cannot be built: model is empty. Add some layers first.");this.model=new Yn({inputs:this.inputs,outputs:this.outputs[0],name:this.name+"_model"}),this.model.trainable=this.trainable,this.supportsMasking=this.model.supportsMasking,this.inputLayers=this.model.inputLayers,this.inputLayersNodeIndices=this.model.inputLayersNodeIndices,this.inputLayersTensorIndices=this.model.inputLayersTensorIndices,this.outputLayers=this.model.outputLayers,this.outputLayersNodeIndices=this.model.outputLayersNodeIndices,this.outputLayersTensorIndices=this.model.outputLayersTensorIndices,this.nodesByDepth=this.model.nodesByDepth,this.containerNodes=this.model.containerNodes,this.outputNames=this.model.outputNames,this.inputNames=this.model.inputNames,this.built=!0}countParams(){return this.built||this.build(),super.countParams()}summary(t,e,n=console.log){this.built||this.build(),super.summary(t,e,n)}setWeights(t){null==this.model&&this.build(),this.model.setWeights(t)}evaluate(t,e,n={}){if(!this.built)throw new f("The model needs to be compiled before being used.");return this.model.evaluate(t,e,n)}async evaluateDataset(t,e){if(!this.built)throw new f("The model needs to be compiled before being used.");return this.model.evaluateDataset(t,e)}predict(t,e={}){return null==this.model&&this.build(),this.model.predict(t,e)}predictOnBatch(t){return null==this.model&&this.build(),this.model.predictOnBatch(t)}compile(t){this.build(),this.model.compile(t),this.optimizer_=this.model.optimizer,this.isOptimizerOwned=this.model.isOptimizerOwned,this.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames}get optimizer(){return null==this.model?void 0:this.model.optimizer}set optimizer(t){this.model.optimizer=t}async fit(t,e,n={}){if(!this.built)throw new f("The model needs to be compiled before being used.");return this.model.fit(t,e,n)}async fitDataset(t,e){if(!this.built)throw new f("The model needs to be compiled before being used.");return this.model.fitDataset(t,e)}async trainOnBatch(t,e){return this.model.trainOnBatch(t,e)}static fromConfig(t,e,n={},r=!1){let i,s={};if(e instanceof Array){if(null==e[0].className||"Merge"===e[0].className)throw new m("Legacy serialization format not supported yet.");i=e}else l.util.assert(null!=e.layers,()=>"When the config data for a Sequential model is not an Array, it must be an Object that contains the 'layers' field."),i=e.layers,delete e.layers,s=e;const a=new t(s);if(!(a instanceof er))throw new g("Sequential.fromConfig called on non-Sequential input: "+a);for(const t of i){const e=Ue(t,void 0,r);r&&e.setFastWeightInitDuringBuild(!0),a.add(e)}return a}set stopTraining(t){if(null==this.model)throw new m("Cannot set the stopTraining property of a sequential model before it is compiled.");this.model.stopTraining=t}get stopTraining(){if(null==this.model)throw new m("Cannot get the stopTraining property of a sequential model before it is compiled.");return this.model.stopTraining}getConfig(){const t=[];for(const e of this.layers){const n={};n.className=e.getClassName(),n.config=e.getConfig(),t.push(n)}return{name:this.name,layers:t}}} /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */ function nr(t){return new Yn(t)}function rr(t){return new er(t)}function ir(t,e){return null==e&&(e={}),tr(t,e)}function sr(t){return je(t)}function ar(t,e){qe.registerCallbackConstructor(t,e)} /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */er.className="Sequential",l.serialization.registerClass(er);class or extends l.serialization.Serializable{getConfig(){return{}}}class ur extends or{apply(t,e=1){return function(t,e=1){if(1!==e)throw new g(`Support for alpha values other than 1 (${e}) is not implemented yet.`);return l.elu(t)}(t,e)}}ur.className="elu",l.serialization.registerClass(ur);class cr extends or{apply(t){return l.selu(t)}}cr.className="selu",l.serialization.registerClass(cr);class lr extends or{apply(t){return l.relu(t)}}lr.className="relu",l.serialization.registerClass(lr);class hr extends or{apply(t){return Object(l.tidy)(()=>l.minimum(6,l.relu(t)))}}hr.className="relu6",l.serialization.registerClass(hr);class dr extends or{apply(t){return t}}dr.className="linear",l.serialization.registerClass(dr);class pr extends or{apply(t){return l.sigmoid(t)}}pr.className="sigmoid",l.serialization.registerClass(pr);class fr extends or{apply(t){return function(t){return Object(l.tidy)(()=>{const e=l.add(.5,l.mul(.2,t));return l.clipByValue(e,0,1)})}(t)}}fr.className="hardSigmoid",l.serialization.registerClass(fr);class mr extends or{apply(t){return l.softplus(t)}}mr.className="softplus",l.serialization.registerClass(mr);class gr extends or{apply(t){return function(t){return Object(l.tidy)(()=>l.div(t,l.abs(t).add(1)))}(t)}}gr.className="softsign",l.serialization.registerClass(gr);class br extends or{apply(t){return l.tanh(t)}}br.className="tanh",l.serialization.registerClass(br);class yr extends or{apply(t,e=-1){return l.softmax(t,e)}}yr.className="softmax",l.serialization.registerClass(yr);class vr extends or{apply(t,e=-1){return l.logSoftmax(t,e)}}vr.className="logSoftmax",l.serialization.registerClass(vr);class wr extends or{apply(t,e=1){return Object(l.tidy)(()=>l.sigmoid(t.mul(e)).mul(t))}}function xr(t){return t.getClassName()}function _r(t,e={}){return C(t,l.serialization.SerializationMap.getMap().classNameMap,e,"activation")}function Or(t){if(null==t){const t={className:"linear",config:{}};return _r(t)}if("string"==typeof t){const e={};return e.className=t,e.config={},_r(e)}return t instanceof or?t:_r(t)} /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */function Sr(t){if(null!=t&&"object"!=typeof t)throw new Error("Argument to L1L2 regularizer's constructor is expected to be an object, but received: "+t)}wr.className="swish",l.serialization.registerClass(wr);class kr extends l.serialization.Serializable{}class Tr extends kr{constructor(t){super(),Sr(t),this.l1=null==t||null==t.l1?.01:t.l1,this.l2=null==t||null==t.l2?.01:t.l2,this.hasL1=0!==this.l1,this.hasL2=0!==this.l2}apply(t){return Object(l.tidy)(()=>{let e=Object(l.zeros)([1]);return this.hasL1&&(e=Object(l.add)(e,Object(l.sum)(l.mul(this.l1,Object(l.abs)(t))))),this.hasL2&&(e=Object(l.add)(e,Object(l.sum)(l.mul(this.l2,kt(t))))),e.asScalar()})}getConfig(){return{l1:this.l1,l2:this.l2}}static fromConfig(t,e){return new t({l1:e.l1,l2:e.l2})}}Tr.className="L1L2",l.serialization.registerClass(Tr);const Cr={l1l2:"L1L2"};function Ar(t){return T(t)}function Nr(t,e={}){return C(t,l.serialization.SerializationMap.getMap().classNameMap,e,"regularizer")}function Ir(t){if(null==t)return null;if("string"==typeof t){return Nr({className:t in Cr?Cr[t]:t,config:{}})}return t instanceof kr?t:Nr(t)} /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */class Er extends Ie{constructor(t){super(null==t?{}:t),this.supportsMasking=!0,null!=t&&(this.maxValue=t.maxValue)}call(t,e){t=ve(t);let n=Object(l.relu)(t);return null!=this.maxValue&&(n=Object(l.clipByValue)(n,0,this.maxValue)),n}computeOutputShape(t){return t}getConfig(){const t={maxValue:this.maxValue},e=super.getConfig();return Object.assign(t,e),t}}Er.className="ReLU",l.serialization.registerClass(Er);class jr extends Ie{constructor(t){super(null==t?{}:t),this.DEFAULT_ALPHA=.3,null==t&&(t={}),this.alpha=null==t.alpha?this.DEFAULT_ALPHA:t.alpha}call(t,e){const n=ve(t);return Object(l.leakyRelu)(n,this.alpha)}computeOutputShape(t){return t}getConfig(){const t={alpha:this.alpha},e=super.getConfig();return Object.assign(t,e),t}}jr.className="LeakyReLU",l.serialization.registerClass(jr);class Mr extends Ie{constructor(t){if(super(null==t?{}:t),this.DEFAULT_ALPHA_INITIALIZER="zeros",null==t&&(t={}),this.supportsMasking=!0,this.alphaInitializer=Yt(t.alphaInitializer||this.DEFAULT_ALPHA_INITIALIZER),this.alphaRegularizer=Ir(t.alphaRegularizer),this.alphaConstraint=U(t.alphaConstraint),null==t.sharedAxes)this.sharedAxes=null;else if(Array.isArray(t.sharedAxes))this.sharedAxes=t.sharedAxes;else{if("number"!=typeof t.sharedAxes)throw new m("Expected sharedAxes to be a number or an array of numbers, but got "+t.sharedAxes);this.sharedAxes=[t.sharedAxes]}}build(t){const e=(t=we(t)).slice(1);if(null!=this.sharedAxes)for(const t of this.sharedAxes)e[t-1]=1;this.alpha=this.addWeight("alpha",e,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);const n={};if(null!=this.sharedAxes)for(let e=1;e(tt(e),"channelsFirst"===e?l.transpose(t,[0,2,3,1]):t))}function Br(t,e){return Object(l.tidy)(()=>(tt(e),"channelsFirst"===e?l.transpose(t,[0,2,3,4,1]):t))}function qr(t,e,n,r=1,i="valid",s,a=1){return Object(l.tidy)(()=>{if(null==s&&(s="channelsLast"),tt(s),3!==t.shape.length)throw new m("The input of a conv1dWithBias operation should be 3, but is "+t.shape.length+" instead.");if(3!==e.shape.length)throw new m("The kernel for a conv1dWithBias operation should be 3, but is "+e.shape.length+" instead");if(null!=n&&1!==n.shape.length)throw new m("The bias for a conv1dWithBias operation should be 1, but is "+e.shape.length+" instead");if("channelsFirst"===s&&(t=l.transpose(t,[0,2,1])),"causal"===i)throw new g("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");let o=l.conv1d(t,e,r,"same"===i?"same":"valid","NWC",a);return null!=n&&(o=Ct(o,n)),o})}function Vr(t,e,n,r=[1,1],i="valid",s,a,o=null){return Object(l.tidy)(()=>{if(null==s&&(s="channelsLast"),tt(s),3!==t.rank&&4!==t.rank)throw new m(`conv2dWithBiasActivation expects input to be of rank 3 or 4, but received ${t.rank}.`);if(3!==e.rank&&4!==e.rank)throw new m(`conv2dWithBiasActivation expects kernel to be of rank 3 or 4, but received ${t.rank}.`);let u=$r(t,s);if("causal"===i)throw new g("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return u=l.fused.conv2d({x:u,filter:e,strides:r,pad:"same"===i?"same":"valid",dilations:a,dataFormat:"NHWC",bias:n,activation:o}),"channelsFirst"===s&&(u=l.transpose(u,[0,3,1,2])),u})}function Ur(t,e,n,r=[1,1,1],i="valid",s,a){return Object(l.tidy)(()=>{if(null==s&&(s="channelsLast"),tt(s),4!==t.rank&&5!==t.rank)throw new m("conv3dWithBias expects input to be of rank 4 or 5, but received "+t.rank+".");if(4!==e.rank&&5!==e.rank)throw new m("conv3dWithBias expects kernel to be of rank 4 or 5, but received "+t.rank+".");let o=Br(t,s);if("causal"===i)throw new g("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return o=l.conv3d(o,e,r,"same"===i?"same":"valid","NDHWC",a),null!=n&&(o=Ct(o,n)),"channelsFirst"===s&&(o=l.transpose(o,[0,4,1,2,3])),o})}Pr.className="Softmax",l.serialization.registerClass(Pr);class Wr extends Ie{constructor(t,e){if(super(e),this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",Wr.verifyArgs(e),this.rank=t,M(this.rank,"rank"),1!==this.rank&&2!==this.rank&&3!==this.rank)throw new g(`Convolution layer for rank other than 1, 2, or 3 (${this.rank}) is not implemented yet.`);if(this.kernelSize=Fr(e.kernelSize,t,"kernelSize"),this.strides=Fr(null==e.strides?1:e.strides,t,"strides"),this.padding=null==e.padding?"valid":e.padding,et(this.padding),this.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,tt(this.dataFormat),this.activation=Or(e.activation),this.useBias=null==e.useBias||e.useBias,this.biasInitializer=Yt(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.biasConstraint=U(e.biasConstraint),this.biasRegularizer=Ir(e.biasRegularizer),this.activityRegularizer=Ir(e.activityRegularizer),this.dilationRate=Fr(null==e.dilationRate?1:e.dilationRate,t,"dilationRate"),1===this.rank&&Array.isArray(this.dilationRate)&&1!==this.dilationRate.length)throw new m("dilationRate must be a number or an array of a single number for 1D convolution, but received "+JSON.stringify(this.dilationRate));if(2===this.rank){if("number"==typeof this.dilationRate)this.dilationRate=[this.dilationRate,this.dilationRate];else if(2!==this.dilationRate.length)throw new m("dilationRate must be a number or array of two numbers for 2D convolution, but received "+JSON.stringify(this.dilationRate))}else if(3===this.rank)if("number"==typeof this.dilationRate)this.dilationRate=[this.dilationRate,this.dilationRate,this.dilationRate];else if(3!==this.dilationRate.length)throw new m("dilationRate must be a number or array of three numbers for 3D convolution, but received "+JSON.stringify(this.dilationRate))}static verifyArgs(t){if(v("kernelSize"in t,"required key 'kernelSize' not in config"),"number"!=typeof t.kernelSize&&!j(t.kernelSize,"number",1,3))throw new m(`BaseConv expects config.kernelSize to be number or number[] with length 1, 2, or 3, but received ${JSON.stringify(t.kernelSize)}.`)}getConfig(){const t={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:xr(this.activation),useBias:this.useBias,biasInitializer:Xt(this.biasInitializer),biasRegularizer:Ar(this.biasRegularizer),activityRegularizer:Ar(this.activityRegularizer),biasConstraint:q(this.biasConstraint)},e=super.getConfig();return Object.assign(t,e),t}}class Gr extends Wr{constructor(t,e){super(t,e),this.kernel=null,Gr.verifyArgs(e),this.filters=e.filters,M(this.filters,"filters"),this.kernelInitializer=Yt(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.kernelConstraint=U(e.kernelConstraint),this.kernelRegularizer=Ir(e.kernelRegularizer)}build(t){t=we(t);const e="channelsFirst"===this.dataFormat?1:t.length-1;if(null==t[e])throw new m("The channel dimension of the input should be defined. Found "+t[e]);const n=t[e],r=this.kernelSize.concat([n,this.filters]);this.kernel=this.addWeight("kernel",r,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:{[e]:n}}],this.built=!0}call(t,e){return Object(l.tidy)(()=>{let e;t=ve(t);const n=null==this.bias?null:this.bias.read(),r=D(this.activation.getClassName());if(null!=r&&2===this.rank)e=Vr(t,this.kernel.read(),n,this.strides,this.padding,this.dataFormat,this.dilationRate,r);else{if(1===this.rank)e=qr(t,this.kernel.read(),n,this.strides[0],this.padding,this.dataFormat,this.dilationRate[0]);else if(2===this.rank)e=Vr(t,this.kernel.read(),n,this.strides,this.padding,this.dataFormat,this.dilationRate);else{if(3!==this.rank)throw new g("convolutions greater than 3D are not implemented yet.");e=Ur(t,this.kernel.read(),n,this.strides,this.padding,this.dataFormat,this.dilationRate)}null!=this.activation&&(e=this.activation.apply(e))}return e})}computeOutputShape(t){t=we(t);const e=[],n="channelsLast"===this.dataFormat?t.slice(1,t.length-1):t.slice(2);for(let t=0;t 0 but got "+JSON.stringify(t.filters))}}class Hr extends Gr{constructor(t){super(2,t),Hr.verifyArgs(t)}getConfig(){const t=super.getConfig();return delete t.rank,t}static verifyArgs(t){if("number"!=typeof t.kernelSize&&!j(t.kernelSize,"number",1,2))throw new m(`Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received ${JSON.stringify(t.kernelSize)}.`)}}Hr.className="Conv2D",l.serialization.registerClass(Hr);class Kr extends Gr{constructor(t){super(3,t),Kr.verifyArgs(t)}getConfig(){const t=super.getConfig();return delete t.rank,t}static verifyArgs(t){if("number"!=typeof t.kernelSize&&(!Array.isArray(t.kernelSize)||1!==t.kernelSize.length&&3!==t.kernelSize.length))throw new m(`Conv3D expects config.kernelSize to be number or [number, number, number], but received ${JSON.stringify(t.kernelSize)}.`)}}Kr.className="Conv3D",l.serialization.registerClass(Kr);class Qr extends Hr{constructor(t){if(super(t),this.inputSpec=[new ke({ndim:4})],"same"!==this.padding&&"valid"!==this.padding)throw new m("Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode "+this.padding)}build(t){if(4!==(t=we(t)).length)throw new m("Input should have rank 4; Received input shape: "+JSON.stringify(t));const e="channelsFirst"===this.dataFormat?1:t.length-1;if(null==t[e])throw new m("The channel dimension of the inputs should be defined. Found `None`.");const n=t[e],r=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",r,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new ke({ndim:4,axes:{[e]:n}})],this.built=!0}call(t,e){return l.tidy(()=>{let e=ve(t);if(4!==e.shape.length)throw new m("Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-"+e.shape.length);const n=e.shape,r=n[0];let i,s;"channelsFirst"===this.dataFormat?(i=2,s=3):(i=1,s=2);const a=n[i],o=n[s],u=this.kernelSize[0],c=this.kernelSize[1],h=this.strides[0],d=this.strides[1],p=[r,Lr(a,h,u,this.padding),Lr(o,d,c,this.padding),this.filters];"channelsLast"!==this.dataFormat&&(e=l.transpose(e,[0,2,3,1]));let f=l.conv2dTranspose(e,this.kernel.read(),p,this.strides,this.padding);return"channelsLast"!==this.dataFormat&&(f=l.transpose(f,[0,3,1,2])),null!=this.bias&&(f=Ct(f,this.bias.read(),this.dataFormat)),null!=this.activation&&(f=this.activation.apply(f)),f})}computeOutputShape(t){const e=(t=we(t)).slice();let n,r,i;"channelsFirst"===this.dataFormat?(n=1,r=2,i=3):(n=3,r=1,i=2);const s=this.kernelSize[0],a=this.kernelSize[1],o=this.strides[0],u=this.strides[1];return e[n]=this.filters,e[r]=Lr(e[r],o,s,this.padding),e[i]=Lr(e[i],u,a,this.padding),e}getConfig(){const t=super.getConfig();return delete t.dilationRate,t}}Qr.className="Conv2DTranspose",l.serialization.registerClass(Qr);class Xr extends Gr{constructor(t,e){if(super(t,e),this.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",this.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",this.depthwiseKernel=null,this.pointwiseKernel=null,null==e.filters)throw new m("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=e.kernelInitializer||null!=e.kernelRegularizer||null!=e.kernelConstraint)throw new m("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(null!=e.padding&&"same"!==e.padding&&"valid"!==e.padding)throw new m(`SeparableConv${this.rank}D supports only padding modes: 'same' and 'valid', but received `+JSON.stringify(e.padding));this.depthMultiplier=null==e.depthMultiplier?1:e.depthMultiplier,this.depthwiseInitializer=Yt(e.depthwiseInitializer||this.DEFAULT_DEPTHWISE_INITIALIZER),this.depthwiseRegularizer=Ir(e.depthwiseRegularizer),this.depthwiseConstraint=U(e.depthwiseConstraint),this.pointwiseInitializer=Yt(e.depthwiseInitializer||this.DEFAULT_POINTWISE_INITIALIZER),this.pointwiseRegularizer=Ir(e.pointwiseRegularizer),this.pointwiseConstraint=U(e.pointwiseConstraint)}build(t){if((t=we(t)).length{let e;if(t=ve(t),1===this.rank)throw new g("1D separable convolution is not implemented yet.");return 2===this.rank&&("channelsFirst"===this.dataFormat&&(t=l.transpose(t,[0,2,3,1])),e=l.separableConv2d(t,this.depthwiseKernel.read(),this.pointwiseKernel.read(),this.strides,this.padding,this.dilationRate,"NHWC")),this.useBias&&(e=Ct(e,this.bias.read(),this.dataFormat)),null!=this.activation&&(e=this.activation.apply(e)),"channelsFirst"===this.dataFormat&&(e=l.transpose(e,[0,3,1,2])),e})}getConfig(){const t=super.getConfig();return delete t.rank,delete t.kernelInitializer,delete t.kernelRegularizer,delete t.kernelConstraint,t.depthwiseInitializer=Xt(this.depthwiseInitializer),t.pointwiseInitializer=Xt(this.pointwiseInitializer),t.depthwiseRegularizer=Ar(this.depthwiseRegularizer),t.pointwiseRegularizer=Ar(this.pointwiseRegularizer),t.depthwiseConstraint=q(this.depthwiseConstraint),t.pointwiseConstraint=q(this.pointwiseConstraint),t}}Xr.className="SeparableConv";class Yr extends Xr{constructor(t){super(2,t)}}Yr.className="SeparableConv2D",l.serialization.registerClass(Yr);class Jr extends Gr{constructor(t){super(1,t),Jr.verifyArgs(t),this.inputSpec=[{ndim:3}]}getConfig(){const t=super.getConfig();return delete t.rank,delete t.dataFormat,t}static verifyArgs(t){if("number"!=typeof t.kernelSize&&!j(t.kernelSize,"number",1,1))throw new m(`Conv1D expects config.kernelSize to be number or number[] with length 1, but received ${JSON.stringify(t.kernelSize)}.`)}}Jr.className="Conv1D",l.serialization.registerClass(Jr);class Zr extends Ie{constructor(t){super(t),"number"==typeof t.cropping?this.cropping=[[t.cropping,t.cropping],[t.cropping,t.cropping]]:"number"==typeof t.cropping[0]?this.cropping=[[t.cropping[0],t.cropping[0]],[t.cropping[1],t.cropping[1]]]:this.cropping=t.cropping,this.dataFormat=void 0===t.dataFormat?"channelsLast":t.dataFormat,this.inputSpec=[{ndim:4}]}computeOutputShape(t){return"channelsFirst"===this.dataFormat?[t[0],t[1],t[2]-this.cropping[0][0]-this.cropping[0][1],t[3]-this.cropping[1][0]-this.cropping[1][1]]:[t[0],t[1]-this.cropping[0][0]-this.cropping[0][1],t[2]-this.cropping[1][0]-this.cropping[1][1],t[3]]}call(t,e){return Object(l.tidy)(()=>{if(t=ve(t),"channelsLast"===this.dataFormat){const e=yt(t,this.cropping[0][0],t.shape[1]-this.cropping[0][0]-this.cropping[0][1],2);return yt(e,this.cropping[1][0],t.shape[2]-this.cropping[1][1]-this.cropping[1][0],3)}{const e=yt(t,this.cropping[0][0],t.shape[2]-this.cropping[0][0]-this.cropping[0][1],3);return yt(e,this.cropping[1][0],t.shape[3]-this.cropping[1][1]-this.cropping[1][0],4)}})}getConfig(){const t={cropping:this.cropping,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}}Zr.className="Cropping2D",l.serialization.registerClass(Zr);class ti extends Ie{constructor(t){super(t),this.DEFAULT_SIZE=[2,2],this.inputSpec=[{ndim:4}],this.size=null==t.size?this.DEFAULT_SIZE:t.size,this.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat}computeOutputShape(t){if("channelsFirst"===this.dataFormat){const e=null==t[2]?null:this.size[0]*t[2],n=null==t[3]?null:this.size[1]*t[3];return[t[0],t[1],e,n]}{const e=null==t[1]?null:this.size[0]*t[1],n=null==t[2]?null:this.size[1]*t[2];return[t[0],e,n,t[3]]}}call(t,e){return l.tidy(()=>{let e=ve(t);const n=e.shape;if("channelsFirst"===this.dataFormat){e=l.transpose(e,[0,2,3,1]);const t=this.size[0]*n[2],r=this.size[1]*n[3],i=e.resizeNearestNeighbor([t,r]);return l.transpose(i,[0,3,1,2])}{const t=this.size[0]*n[1],r=this.size[1]*n[2];return e.resizeNearestNeighbor([t,r])}})}getConfig(){const t={size:this.size,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}}ti.className="UpSampling2D",l.serialization.registerClass(ti);class ei extends Wr{constructor(t){super(2,t),this.depthwiseKernel=null,this.depthMultiplier=null==t.depthMultiplier?1:t.depthMultiplier,this.depthwiseInitializer=Yt(t.depthwiseInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.depthwiseConstraint=U(t.depthwiseConstraint),this.depthwiseRegularizer=Ir(t.depthwiseRegularizer)}build(t){if((t=we(t)).length<4)throw new m(`Inputs to DepthwiseConv2D should have rank 4. Received input shape: ${JSON.stringify(t)}.`);const e="channelsFirst"===this.dataFormat?1:3;if(null==t[e]||t[e]<0)throw new m(`The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not (${t[e]}).`);const n=t[e],r=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",r,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(t,e){return Object(l.tidy)(()=>{let e= /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */ function(t,e,n=[1,1],r="valid",i,s){return Object(l.tidy)(()=>{null==i&&(i="channelsLast"),tt(i);let a=$r(t,i);if(4!==t.rank)throw new m("Input for depthwiseConv2d is required to be 4-D, but is instead "+t.rank+"-D");if(4!==e.rank)throw new m("depthwiseKernel is required to be 4-D, but is instead "+e.rank+"-D");return a=l.depthwiseConv2d(a,e,n,"same"===r?"same":"valid","NHWC",s),"channelsFirst"===i&&(a=l.transpose(a,[0,3,1,2])),a})}(t=ve(t),this.depthwiseKernel.read(),this.strides,this.padding,this.dataFormat,null);return this.useBias&&(e=Ct(e,this.bias.read(),this.dataFormat)),null!=this.activation&&(e=this.activation.apply(e)),e})}computeOutputShape(t){t=we(t);const e="channelsFirst"===this.dataFormat?t[2]:t[1],n="channelsFirst"===this.dataFormat?t[3]:t[2],r="channelsFirst"===this.dataFormat?t[1]*this.depthMultiplier:t[3]*this.depthMultiplier,i=zr(e,this.kernelSize[0],this.padding,this.strides[0]),s=zr(n,this.kernelSize[1],this.padding,this.strides[1]);return"channelsFirst"===this.dataFormat?[t[0],r,i,s]:[t[0],i,s,r]}getConfig(){const t=super.getConfig();return t.depthMultiplier=this.depthMultiplier,t.depthwiseInitializer=Xt(this.depthwiseInitializer),t.depthwiseRegularizer=Ar(this.depthwiseRegularizer),t.depthwiseConstraint=q(this.depthwiseRegularizer),t}} /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */ function ni(t,e,n,r){if(Array.isArray(t)){if(null!=e||null!=n)throw new m("When inputs is an array, neither initialState or constants should be provided");null!=r&&(n=t.slice(t.length-r,t.length),t=t.slice(0,t.length-r)),t.length>1&&(e=t.slice(1,t.length)),t=t[0]}function i(t){return null==t||Array.isArray(t)?t:[t]}return{inputs:t,initialState:e=i(e),constants:n=i(n)}}function ri(t,e,n,r=!1,i,s,a=!1,o=!1){return l.tidy(()=>{const u=e.shape.length;if(u<3)throw new m(`Input should be at least 3D, but is ${u}D.`);const c=[1,0].concat(pt(2,u));if(e=l.transpose(e,c),null!=s)throw new g("The rnn() functoin of the deeplearn.js backend does not support constants yet.");a&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),null!=i&&((i=i.asType("bool").asType("float32")).rank===u-1&&(i=l.expandDims(i,-1)),i=l.transpose(i,c)),r&&(e=l.reverse(e,0),null!=i&&(i=l.reverse(i,0)));const h=[];let d,p=n;const f=e.shape[0],b=l.unstack(e);let y,v;null!=i&&(y=l.unstack(i));for(let e=0;et(n,p));if(null==i)d=r[0],p=r[1];else{const t=l.tidy(()=>{const t=y[e],n=l.onesLike(t).sub(t);return{output:r[0].mul(t).add(p[0].mul(n)),newStates:p.map((e,i)=>r[1][i].mul(t).add(e.mul(n)))}});d=t.output,p=t.newStates}o&&h.push(d)}if(o){const t=1;v=l.stack(h,t)}return[d,v,p]})}ei.className="DepthwiseConv2D",l.serialization.registerClass(ei);class ii extends Ie{constructor(t){let e;if(super(t),null==t.cell)throw new m("cell property is missing for the constructor of RNN.");if(e=Array.isArray(t.cell)?new di({cells:t.cell}):t.cell,null==e.stateSize)throw new m("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");this.cell=e,this.returnSequences=null!=t.returnSequences&&t.returnSequences,this.returnState=null!=t.returnState&&t.returnState,this.goBackwards=null!=t.goBackwards&&t.goBackwards,this._stateful=null!=t.stateful&&t.stateful,this.unroll=null!=t.unroll&&t.unroll,this.supportsMasking=!0,this.inputSpec=[new ke({ndim:3})],this.stateSpec=null,this.states_=null,this.numConstants=null,this.keptStates=[]}getStates(){if(null==this.states_){return pt(0,Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1).map(t=>null)}return this.states_}setStates(t){this.states_=t}computeOutputShape(t){be(t)&&(t=t[0]),t=t;let e=this.cell.stateSize;Array.isArray(e)||(e=[e]);const n=e[0];let r;if(r=this.returnSequences?[t[0],t[1],n]:[t[0],n],this.returnState){const n=[];for(const r of e)n.push([t[0],r]);return[r].concat(n)}return r}computeMask(t,e){return l.tidy(()=>{Array.isArray(e)&&(e=e[0]);const t=this.returnSequences?e:null;if(this.returnState){const e=this.states.map(t=>null);return[t].concat(e)}return t})}get states(){if(null==this.states_){const t=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,e=[];for(let n=0;nt.shape[t.shape.length-1]),i))throw new m(`An initialState was passed that is not compatible with cell.stateSize. Received stateSpec=${this.stateSpec}; However cell.stateSize is `+this.cell.stateSize)}else this.stateSpec=i.map(t=>new ke({shape:[null,t]}));this.stateful&&this.resetStates()}resetStates(t,e=!1){Object(l.tidy)(()=>{if(!this.stateful)throw new p("Cannot call resetStates() on an RNN Layer that is not stateful.");const n=this.inputSpec[0].shape[0];if(null==n)throw new m("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(null==this.states_)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(t=>l.zeros([n,t])):this.states_=[l.zeros([n,this.cell.stateSize])];else if(null==t)l.dispose(this.states_),null!=this.keptStates&&(l.dispose(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(t=>l.zeros([n,t])):this.states_[0]=l.zeros([n,this.cell.stateSize]);else{if(Array.isArray(t)||(t=[t]),t.length!==this.states_.length)throw new m(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${t.length} state value(s). Input received: `+t);!0===e?this.keptStates.push(this.states_.slice()):l.dispose(this.states_);for(let e=0;el.keep(t.clone()))})}apply(t,e){let n=null==e?null:e.initialState,r=null==e?null:e.constants;null==e&&(e={});const i=ni(t,n,r,this.numConstants);t=i.inputs,n=i.initialState,r=i.constants;let s=[],a=[];if(null!=n){e.initialState=n,s=s.concat(n),this.stateSpec=[];for(const t of n)this.stateSpec.push(new ke({shape:t.shape}));a=a.concat(this.stateSpec)}null!=r&&(e.constants=r,s=s.concat(r),this.numConstants=r.length);if(s[0]instanceof Te){const n=[t].concat(s),r=this.inputSpec.concat(a),i=this.inputSpec;this.inputSpec=r;const o=super.apply(n,e);return this.inputSpec=i,o}return super.apply(t,e)}call(t,e){return Object(l.tidy)(()=>{const n=null==e?null:e.mask,r=null==e?null:e.training;let i=null==e?null:e.initialState;t=ve(t),null==i&&(i=this.stateful?this.states_:this.getInitialState(t));const s=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;if(i.length!==s)throw new m(`RNN Layer has ${s} state(s) but was passed `+i.length+" initial state(s).");this.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");const a={training:r},o=ri((t,e)=>{const n=this.cell.call([t].concat(e),a);return[n[0],n.slice(1)]},t,i,this.goBackwards,n,null,this.unroll,this.returnSequences),u=o[0],c=o[1],l=o[2];this.stateful&&this.resetStates(l,r);const h=this.returnSequences?c:u;return this.returnState?[h].concat(l):h})}getInitialState(t){return Object(l.tidy)(()=>{let e=l.zeros(t.shape);return e=l.sum(e,[1,2]),e=mt(e),Array.isArray(this.cell.stateSize)?this.cell.stateSize.map(t=>t>1?xt(e,[1,t]):e):this.cell.stateSize>1?[xt(e,[1,this.cell.stateSize])]:[e]})}get trainableWeights(){return this.trainable?this.cell.trainableWeights:[]}get nonTrainableWeights(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}setFastWeightInitDuringBuild(t){super.setFastWeightInitDuringBuild(t),null!=this.cell&&this.cell.setFastWeightInitDuringBuild(t)}getConfig(){const t=super.getConfig(),e={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};null!=this.numConstants&&(e.numConstants=this.numConstants);const n=this.cell.getConfig();return this.getClassName()===ii.className&&(e.cell={className:this.cell.getClassName(),config:n}),Object.assign({},n,t,e)}static fromConfig(t,e,n={}){const r=Ue(e.cell,n);return new t(Object.assign(e,{cell:r}))}}ii.className="RNN",l.serialization.registerClass(ii);class si extends Ie{}class ai extends si{constructor(t){super(t),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=t.units,M(this.units,"units"),this.activation=Or(null==t.activation?this.DEFAULT_ACTIVATION:t.activation),this.useBias=null==t.useBias||t.useBias,this.kernelInitializer=Yt(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=Yt(t.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=Yt(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=Ir(t.kernelRegularizer),this.recurrentRegularizer=Ir(t.recurrentRegularizer),this.biasRegularizer=Ir(t.biasRegularizer),this.kernelConstraint=U(t.kernelConstraint),this.recurrentConstraint=U(t.recurrentConstraint),this.biasConstraint=U(t.biasConstraint),this.dropout=ht([1,dt([0,null==t.dropout?0:t.dropout])]),this.recurrentDropout=ht([1,dt([0,null==t.recurrentDropout?0:t.recurrentDropout])]),this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(t){t=we(t),this.kernel=this.addWeight("kernel",[t[t.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(t,e){return Object(l.tidy)(()=>{if(2!==(t=t).length)throw new m(`SimpleRNNCell expects 2 input Tensors, got ${t.length}.`);let n=t[1];t=t[0];const r=null!=e.training&&e.training;let i;0l.onesLike(t),rate:this.dropout,training:r})),0l.onesLike(n),rate:this.recurrentDropout,training:r}));const s=this.dropoutMask,a=this.recurrentDropoutMask;i=Ot(null!=s?l.mul(t,s):t,this.kernel.read()),null!=this.bias&&(i=Ct(i,this.bias.read())),null!=a&&(n=l.mul(n,a));let o=l.add(i,Ot(n,this.recurrentKernel.read()));return null!=this.activation&&(o=this.activation.apply(o)),[o,o]})}getConfig(){const t=super.getConfig(),e={units:this.units,activation:xr(this.activation),useBias:this.useBias,kernelInitializer:Xt(this.kernelInitializer),recurrentInitializer:Xt(this.recurrentInitializer),biasInitializer:Xt(this.biasInitializer),kernelRegularizer:Ar(this.kernelRegularizer),recurrentRegularizer:Ar(this.recurrentRegularizer),biasRegularizer:Ar(this.biasRegularizer),activityRegularizer:Ar(this.activityRegularizer),kernelConstraint:q(this.kernelConstraint),recurrentConstraint:q(this.recurrentConstraint),biasConstraint:q(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign({},t,e)}}ai.className="SimpleRNNCell",l.serialization.registerClass(ai);class oi extends ii{constructor(t){t.cell=new ai(t),super(t)}call(t,e){return Object(l.tidy)(()=>{null!=this.cell.dropoutMask&&(l.dispose(this.cell.dropoutMask),this.cell.dropoutMask=null),null!=this.cell.recurrentDropoutMask&&(l.dispose(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);const n=null==e?null:e.mask,r=null==e?null:e.training,i=null==e?null:e.initialState;return super.call(t,{mask:n,training:r,initialState:i})})}static fromConfig(t,e){return new t(e)}}oi.className="SimpleRNN",l.serialization.registerClass(oi);class ui extends si{constructor(t){if(super(t),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",t.resetAfter)throw new m("GRUCell does not support reset_after parameter set to true.");this.units=t.units,M(this.units,"units"),this.activation=Or(void 0===t.activation?this.DEFAULT_ACTIVATION:t.activation),this.recurrentActivation=Or(void 0===t.recurrentActivation?this.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),this.useBias=null==t.useBias||t.useBias,this.kernelInitializer=Yt(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=Yt(t.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=Yt(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=Ir(t.kernelRegularizer),this.recurrentRegularizer=Ir(t.recurrentRegularizer),this.biasRegularizer=Ir(t.biasRegularizer),this.kernelConstraint=U(t.kernelConstraint),this.recurrentConstraint=U(t.recurrentConstraint),this.biasConstraint=U(t.biasConstraint),this.dropout=ht([1,dt([0,null==t.dropout?0:t.dropout])]),this.recurrentDropout=ht([1,dt([0,null==t.recurrentDropout?0:t.recurrentDropout])]),this.implementation=t.implementation,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(t){const e=(t=we(t))[t.length-1];this.kernel=this.addWeight("kernel",[e,3*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,3*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[3*this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(t,e){return Object(l.tidy)(()=>{if(2!==(t=t).length)throw new m("GRUCell expects 2 input Tensors (inputs, h, c), got "+t.length+".");const n=null!=e.training&&e.training;let r=t[1];t=t[0],0l.onesLike(t),rate:this.dropout,training:n,count:3})),0l.onesLike(r),rate:this.recurrentDropout,training:n,count:3}));const i=this.dropoutMask,s=this.recurrentDropoutMask;let a,o,u;0{null!=this.cell.dropoutMask&&(l.dispose(this.cell.dropoutMask),this.cell.dropoutMask=null),null!=this.cell.recurrentDropoutMask&&(l.dispose(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);const n=null==e?null:e.mask,r=null==e?null:e.training,i=null==e?null:e.initialState;return super.call(t,{mask:n,training:r,initialState:i})})}static fromConfig(t,e){return 0===e.implmentation&&(e.implementation=1),new t(e)}}ci.className="GRU",l.serialization.registerClass(ci);class li extends si{constructor(t){super(t),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=t.units,M(this.units,"units"),this.activation=Or(void 0===t.activation?this.DEFAULT_ACTIVATION:t.activation),this.recurrentActivation=Or(void 0===t.recurrentActivation?this.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),this.useBias=null==t.useBias||t.useBias,this.kernelInitializer=Yt(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=Yt(t.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=Yt(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.unitForgetBias=t.unitForgetBias,this.kernelRegularizer=Ir(t.kernelRegularizer),this.recurrentRegularizer=Ir(t.recurrentRegularizer),this.biasRegularizer=Ir(t.biasRegularizer),this.kernelConstraint=U(t.kernelConstraint),this.recurrentConstraint=U(t.recurrentConstraint),this.biasConstraint=U(t.biasConstraint),this.dropout=ht([1,dt([0,null==t.dropout?0:t.dropout])]),this.recurrentDropout=ht([1,dt([0,null==t.recurrentDropout?0:t.recurrentDropout])]),this.implementation=t.implementation,this.stateSize=[this.units,this.units],this.dropoutMask=null,this.recurrentDropoutMask=null}build(t){var e;const n=(t=we(t))[t.length-1];let r;if(this.kernel=this.addWeight("kernel",[n,4*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,4*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){if(this.unitForgetBias){const t=this.biasInitializer,n=this.units;r=new((e=class extends jt{apply(e,r){const i=t.apply([n]),s=(new Dt).apply([n]),a=t.apply([2*n]);return wt(wt(i,s),a)}}).className="CustomInit",e)}else r=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.units],null,r,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0}call(t,e){return Object(l.tidy)(()=>{const n=null!=e.training&&e.training;if(3!==(t=t).length)throw new m("LSTMCell expects 3 input Tensors (inputs, h, c), got "+t.length+".");let r=t[1];const i=t[2];t=t[0],0l.onesLike(t),rate:this.dropout,training:n,count:4})),0l.onesLike(r),rate:this.recurrentDropout,training:n,count:4}));const s=this.dropoutMask,a=this.recurrentDropoutMask;let o,u,c,h;0{null!=this.cell.dropoutMask&&(l.dispose(this.cell.dropoutMask),this.cell.dropoutMask=null),null!=this.cell.recurrentDropoutMask&&(l.dispose(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);const n=null==e?null:e.mask,r=null==e?null:e.training,i=null==e?null:e.initialState;return super.call(t,{mask:n,training:r,initialState:i})})}static fromConfig(t,e){return 0===e.implmentation&&(e.implementation=1),new t(e)}}hi.className="LSTM",l.serialization.registerClass(hi);class di extends si{constructor(t){super(t),this.cells=t.cells}get stateSize(){const t=[];for(const e of this.cells.slice().reverse())Array.isArray(e.stateSize)?t.push(...e.stateSize):t.push(e.stateSize);return t}call(t,e){return Object(l.tidy)(()=>{let n=(t=t).slice(1);const r=[];for(const t of this.cells.slice().reverse())Array.isArray(t.stateSize)?r.push(n.splice(0,t.stateSize.length)):r.push(n.splice(0,1));r.reverse();const i=[];let s;for(let a=0;a{it("RNNCell_"+r,()=>{n.build(t),e=Array.isArray(n.stateSize)?n.stateSize[0]:n.stateSize,t=[t[0],e]})}),this.built=!0}getConfig(){const t=super.getConfig(),e={cells:this.cells.map(t=>({className:t.getClassName(),config:t.getConfig()}))};return Object.assign({},t,e)}static fromConfig(t,e,n={}){const r=[];for(const t of e.cells)r.push(Ue(t,n));return new t({cells:r})}get trainableWeights(){if(!this.trainable)return[];const t=[];for(const e of this.cells)t.push(...e.trainableWeights);return t}get nonTrainableWeights(){const t=[];for(const e of this.cells)t.push(...e.nonTrainableWeights);if(!this.trainable){const e=[];for(const t of this.cells)e.push(...t.trainableWeights);return e.concat(t)}return t}getWeights(){const t=[];for(const e of this.cells)t.push(...e.weights);return Oe(t)}setWeights(t){const e=[];for(const n of this.cells){const r=n.weights.length,i=t.splice(r);for(let t=0;tAt(e(),n),a=()=>Nt(s,e,r);if(!i||i<=1)return l.keep(a().clone());return Array(i).fill(void 0).map(a).map(t=>l.keep(t.clone()))} /** * @license * Copyright 2020 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */di.className="StackedRNNCells",l.serialization.registerClass(di);var fi=function(t,e){var n={};for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&e.indexOf(r)<0&&(n[r]=t[r]);if(null!=t&&"function"==typeof Object.getOwnPropertySymbols){var i=0;for(r=Object.getOwnPropertySymbols(t);i{if(null!=this.cell.dropoutMask&&(l.dispose(this.cell.dropoutMask),this.cell.dropoutMask=null),null!=this.cell.recurrentDropoutMask&&(l.dispose(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null),e&&e.constants)throw new m("ConvRNN2D cell does not support constants");const n=null==e?null:e.mask,r=null==e?null:e.training,i=null==e?null:e.initialState;return super.call(t,{mask:n,training:r,initialState:i})})}computeOutputShape(t){let e=this.computeSingleOutputShape(t);return this.returnSequences||(e=[e[0],...e.slice(2)]),this.returnState&&(e=[e,...Array(2).fill([t[0],...e.slice(-3)])]),e}getInitialState(t){return l.tidy(()=>{const{stateSize:e}=this.cell,n=t.shape,r=this.computeSingleOutputShape(n),i=[r[0],...r.slice(2)],s=l.zeros(i);return Array.isArray(e)?Array(e.length).fill(s):[s]})}resetStates(t,e=!1){l.tidy(()=>{if(!this.stateful)throw new p("Cannot call resetStates() on an RNN Layer that is not stateful.");const n=this.inputSpec[0].shape,r=this.computeSingleOutputShape(n),i=[r[0],...r.slice(2)];if(null==n[0])throw new m("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(null==this.getStates())Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>l.zeros(i)):this.states_=[l.zeros(i)];else if(null==t)l.dispose(this.states_),null!=this.keptStates&&(l.dispose(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>l.zeros(i)):this.states_[0]=l.zeros(i);else{if(Array.isArray(t)||(t=[t]),t.length!==this.states_.length)throw new m(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${t.length} state value(s). Input received: `+t);e?this.keptStates.push(this.states_.slice()):l.dispose(this.states_);for(let e=0;el.keep(t.clone()))})}computeSingleOutputShape(t){const{dataFormat:e,filters:n,kernelSize:r,padding:i,strides:s,dilationRate:a}=this.cell,o="channelsFirst"===e,u=t[o?3:2],c=t[o?4:3],l=zr(u,r[0],i,s[0],a[0]),h=zr(c,r[1],i,s[1],a[1]);return[...t.slice(0,2),...o?[n,l,h]:[l,h,n]]}}mi.className="ConvRNN2D";class gi extends li{constructor(t){const{filters:e,kernelSize:n,strides:r,padding:i,dataFormat:s,dilationRate:a}=t;super(Object.assign({},t,{units:e})),this.filters=e,M(this.filters,"filters"),this.kernelSize=Fr(n,2,"kernelSize"),this.kernelSize.forEach(t=>M(t,"kernelSize")),this.strides=Fr(r||1,2,"strides"),this.strides.forEach(t=>M(t,"strides")),this.padding=i||"valid",et(this.padding),this.dataFormat=s||"channelsLast",tt(this.dataFormat),this.dilationRate=Fr(a||1,2,"dilationRate"),this.dilationRate.forEach(t=>M(t,"dilationRate"))}build(t){var e;t=we(t);const n="channelsFirst"===this.dataFormat?1:t.length-1;if(null==t[n])throw new m("The channel dimension of the input should be defined. Found "+t[n]);const r=t[n],i=this.kernelSize.concat([r,4*this.filters]);this.kernel=this.addWeight("kernel",i,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);const s=this.kernelSize.concat([this.filters,4*this.filters]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",s,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){let t;if(this.unitForgetBias){const n=this.biasInitializer,r=this.filters;t=new((e=class extends jt{apply(t,e){return vt([n.apply([r]),l.ones([r]),n.apply([2*r])])}}).className="CustomInit",e)}else t=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.filters],null,t,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0}call(t,e){return l.tidy(()=>{if(3!==t.length)throw new m("ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got "+t.length+".");const n=e.training||!1,r=t[0],i=t[1],s=t[2];0l.onesLike(r),rate:this.dropout,training:n,count:4}));const a=this.dropoutMask,o=(t,e,n)=>e&&e[n]?l.mul(e[n],t):t;let u=o(r,a,0),c=o(r,a,1),h=o(r,a,2),d=o(r,a,3);0l.onesLike(i),rate:this.recurrentDropout,training:n,count:4}));const p=this.recurrentDropoutMask;let f=o(i,p,0),g=o(i,p,1),b=o(i,p,2),y=o(i,p,3);const[v,w,x,_]=l.split(this.kernel.read(),4,3),[O,S,k,T]=this.useBias?l.split(this.bias.read(),4):[null,null,null,null];u=this.inputConv(u,v,O,this.padding),c=this.inputConv(c,w,S,this.padding),h=this.inputConv(h,x,k,this.padding),d=this.inputConv(d,_,T,this.padding);const[C,A,N,I]=l.split(this.recurrentKernel.read(),4,3);f=this.recurrentConv(f,C),g=this.recurrentConv(g,A),b=this.recurrentConv(b,N),y=this.recurrentConv(y,I);const E=this.recurrentActivation.apply(l.add(u,f)),j=this.recurrentActivation.apply(l.add(c,g)),M=l.add(l.mul(j,s),l.mul(E,this.activation.apply(l.add(h,b)))),D=l.mul(this.recurrentActivation.apply(l.add(d,y)),this.activation.apply(M));return[D,D,M]})}getConfig(){const t=super.getConfig(),{units:e}=t,n=fi(t,["units"]),r={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Object.assign({},n,r)}inputConv(t,e,n,r){const i=l.conv2d(t,e,this.strides,r||"valid","channelsFirst"===this.dataFormat?"NCHW":"NHWC",this.dilationRate);return n?Ct(i,n,this.dataFormat):i}recurrentConv(t,e){return l.conv2d(t,e,1,"same","channelsFirst"===this.dataFormat?"NCHW":"NHWC")}}gi.className="ConvLSTM2DCell",l.serialization.registerClass(gi);class bi extends mi{constructor(t){const e=new gi(t);super(Object.assign({},t,{cell:e}))}static fromConfig(t,e){return new t(e)}}bi.className="ConvLSTM2D",l.serialization.registerClass(bi); /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */ class yi extends Ie{constructor(t){super(t),this.rate=Math.max(Math.min(t.rate,1),0),this.noiseShape=t.noiseShape,this.seed=t.seed,this.supportsMasking=!0}getNoiseShape(t){if(null==this.noiseShape)return this.noiseShape;const e=t.shape,n=[];for(let t=0;t{this.invokeCallHook(t,e);const n=ve(t);if(0At(n,this.rate,r,this.seed),()=>n,t)}return t})}getConfig(){const t={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},e=super.getConfig();return Object.assign(t,e),t}dispose(){return super.dispose()}}yi.className="Dropout",l.serialization.registerClass(yi);class vi extends yi{constructor(t){super(t),this.inputSpec=[{ndim:3}]}getNoiseShape(t){const e=t.shape;return[e[0],1,e[2]]}}vi.className="SpatialDropout1D",l.serialization.registerClass(vi);class wi extends Ie{constructor(t){if(super(t),this.activation=null,this.useBias=!0,this.kernel=null,this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",null==t.batchInputShape&&null==t.inputShape&&null!=t.inputDim){let e=null;null!=t.batchSize&&(e=t.batchSize),this.batchInputShape=[e,t.inputDim]}this.units=t.units,M(this.units,"units"),this.activation=Or(t.activation),null!=t.useBias&&(this.useBias=t.useBias),this.kernelInitializer=Yt(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.biasInitializer=Yt(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelConstraint=U(t.kernelConstraint),this.biasConstraint=U(t.biasConstraint),this.kernelRegularizer=Ir(t.kernelRegularizer),this.biasRegularizer=Ir(t.biasRegularizer),this.activityRegularizer=Ir(t.activityRegularizer),this.supportsMasking=!0,this.inputSpec=[{minNDim:2}]}build(t){const e=(t=we(t))[t.length-1];null==this.kernel&&(this.kernel=this.addWeight("kernel",[e,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:{[-1]:e}}],this.built=!0}computeOutputShape(t){const e=(t=we(t)).slice();return e[e.length-1]=this.units,e}call(t,e){return Object(l.tidy)(()=>{this.invokeCallHook(t,e);const n=ve(t),r=D(this.activation.getClassName());let i;return null!=r?i=Ot(n,this.kernel.read(),r,this.bias?this.bias.read():null):(i=Ot(n,this.kernel.read()),null!=this.bias&&(i=Ct(i,this.bias.read())),null!=this.activation&&(i=this.activation.apply(i))),i})}getConfig(){const t={units:this.units,activation:xr(this.activation),useBias:this.useBias,kernelInitializer:Xt(this.kernelInitializer),biasInitializer:Xt(this.biasInitializer),kernelRegularizer:Ar(this.kernelRegularizer),biasRegularizer:Ar(this.biasRegularizer),activityRegularizer:Ar(this.activityRegularizer),kernelConstraint:q(this.kernelConstraint),biasConstraint:q(this.biasConstraint)},e=super.getConfig();return Object.assign(t,e),t}}wi.className="Dense",l.serialization.registerClass(wi);class xi extends Ie{constructor(t){super(t=t||{}),this.inputSpec=[{minNDim:3}],this.dataFormat=t.dataFormat}computeOutputShape(t){t=we(t);for(const e of t.slice(1))if(null==e)throw new m(`The shape of the input to "Flatten" is not fully defined (got ${t.slice(1)}). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.`);return[t[0],ct(t,1)]}call(t,e){return Object(l.tidy)(()=>{this.invokeCallHook(t,e);let n=ve(t);if("channelsFirst"===this.dataFormat&&n.rank>1){const t=[0];for(let e=2;e{this.invokeCallHook(t,e);const n=ve(t);return this.activation.apply(n)})}getConfig(){const t={activation:xr(this.activation)},e=super.getConfig();return Object.assign(t,e),t}}_i.className="Activation",l.serialization.registerClass(_i);class Oi extends Ie{constructor(t){super(t),this.n=t.n,this.inputSpec=[{ndim:2}]}computeOutputShape(t){return[t[0],this.n,t[1]]}call(t,e){return Object(l.tidy)(()=>{return t=ve(t),e=t,n=this.n,Object(l.tidy)(()=>{if(2!==e.shape.length)throw new m(`repeat() expects a rank-2 tensor, but received a rank-${e.shape.length} tensor.`);return xt(mt(e,1),[1,n,1])});var e,n})}getConfig(){const t={n:this.n},e=super.getConfig();return Object.assign(t,e),t}}Oi.className="RepeatVector",l.serialization.registerClass(Oi);class Si extends Ie{constructor(t){super(t),this.targetShape=t.targetShape;for(let t=0;t{this.invokeCallHook(t,e);const n=ve(t),r=n.shape,i=r.slice(0,1).concat(this.fixUnknownDimension(r.slice(1),this.targetShape));return n.reshape(i)})}getConfig(){const t={targetShape:this.targetShape},e=super.getConfig();return Object.assign(t,e),t}}Si.className="Reshape",l.serialization.registerClass(Si);class ki extends Ie{constructor(t){if(super(t),null==t.dims)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(t.dims))throw new Error("Permute constructor requires `dims` to be an Array, but received "+t.dims+" instead.");const e=pt(1,t.dims.length+1);if(!l.util.arraysEqual(t.dims.slice().sort(),e))throw new Error("Invalid permutation `dims`: "+JSON.stringify(t.dims)+" `dims` must contain consecutive integers starting from 1.");this.dims=t.dims,this.dimsIncludingBatch=[0].concat(this.dims),this.inputSpec=[new ke({ndim:this.dims.length+1})]}computeOutputShape(t){const e=(t=we(t)).slice();return this.dims.forEach((n,r)=>{e[r+1]=t[n]}),e}call(t,e){return Object(l.transpose)(ve(t),this.dimsIncludingBatch)}getConfig(){const t={dims:this.dims},e=super.getConfig();return Object.assign(t,e),t}}ki.className="Permute",l.serialization.registerClass(ki);class Ti extends Ie{constructor(t){super(null==t?{}:t),this.supportsMasking=!0,this.maskValue=null!=t?null==t.maskValue?0:t.maskValue:0}computeOutputShape(t){return t}getConfig(){const t=super.getConfig(),e={maskValue:this.maskValue};return Object.assign(e,t),e}computeMask(t,e){const n=ve(t);return Object(l.any)(Object(l.notEqual)(n,this.maskValue),-1)}call(t,e){return Object(l.tidy)(()=>{this.invokeCallHook(t,e);const n=ve(t),r=Object(l.any)(Object(l.notEqual)(n,this.maskValue),-1,!0);return n.mul(r.asType(n.dtype))})}}Ti.className="Masking",l.serialization.registerClass(Ti); /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */ class Ci extends Ie{constructor(t){if(super(t),this.embeddings=null,this.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",null==t.batchInputShape&&null==t.inputShape){let e=null;null!=t.batchSize&&(e=t.batchSize),null==t.inputLength?this.batchInputShape=[e,null]:this.batchInputShape=[e].concat(_(t.inputLength))}this.inputDim=t.inputDim,M(this.inputDim,"inputDim"),this.outputDim=t.outputDim,M(this.outputDim,"outputDim"),this.embeddingsInitializer=Yt(t.embeddingsInitializer||this.DEFAULT_EMBEDDINGS_INITIALIZER),this.embeddingsRegularizer=Ir(t.embeddingsRegularizer),this.activityRegularizer=Ir(t.activityRegularizer),this.embeddingsConstraint=U(t.embeddingsConstraint),this.maskZero=t.maskZero,this.supportsMasking=t.maskZero,this.inputLength=t.inputLength}build(t){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0}warnOnIncompatibleInputShape(t){}computeMask(t,e){return Object(l.tidy)(()=>this.maskZero?(t=ve(t),Object(l.notEqual)(t,Object(l.zerosLike)(t))):null)}computeOutputShape(t){if(t=we(t),null==this.inputLength)return[...t,this.outputDim];const e=_(this.inputLength);if(e.length!==t.length-1)throw new m(`"inputLength" is ${this.inputLength}, but received input shape has shape `+t);{let n=0;for(let r=0;r{this.invokeCallHook(t,e);let n=ve(t);"int32"!==n.dtype&&(n=ft(n,"int32"));return St(this.embeddings.read(),n.as1D()).reshape(we(this.computeOutputShape(n.shape)))})}getConfig(){const t={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:Xt(this.embeddingsInitializer),embeddingsRegularizer:Ar(this.embeddingsRegularizer),activityRegularizer:Ar(this.activityRegularizer),embeddingsConstraint:q(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},e=super.getConfig();return Object.assign(t,e),t}}Ci.className="Embedding",l.serialization.registerClass(Ci); /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */ class Ai extends Ie{constructor(t){super(t||{}),this.supportsMasking=!0}mergeFunction(t){throw new g}computeElementwiseOpOutputShape(t,e){if(null==t||null==e)return null;if(t.length1)throw new m(`Can not merge tensors with different batch sizes. Got tensors with shapes: ${JSON.stringify(t)}.`);let n=null==t[0]?null:t[0].slice(1);for(let e=1;et.length);-1===t.indexOf(null)&&1===N(r).length?this.reshapeRequired=!1:this.reshapeRequired=!0}call(t,e){return Object(l.tidy)(()=>{if(t=t,this.reshapeRequired){const e=[],n=t.map(t=>t.rank);if(-1===n.indexOf(null)){const r=dt(n);for(let n of t){const t=n.rank;for(let e=0;e1){const i=pt(1,t).concat([0]);e.push(l.transpose(r,i)),n=!0}else e.push(r)}let r=this.mergeFunction(e);const i=r.rank;if(n)if(null==i){const t=r.shape,e=t[t.length-1],n=[e].concat(t.slice(0,t.length-1));r=l.transpose(r.reshape([-1,e]),[1,0]).reshape(n)}else if(i>1){const t=[i-1].concat(pt(0,i-1));r=l.transpose(r,t)}return r}}return this.mergeFunction(t)})}computeOutputShape(t){let e;e=null==(t=t)[0]?null:t[0].slice(1);for(let n=1;n{if(null==e)return null;if(!Array.isArray(e))throw new m("`mask` should be an Array");if(!Array.isArray(t))throw new m("`inputs` should be an Array");if(e.length!==t.length)throw new m(`The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths (${t.length} vs ${e.length})`);if(e.every(t=>null==t))return null;let n=(e=e.map(t=>null==t?t:l.expandDims(t,0)))[0];for(let t=1;t{let e=t[0].clone();for(let n=1;n{let e=t[0].clone();for(let n=1;n{let e=t[0].clone();for(let n=1;n{let e=t[0];for(let n=1;n{let e=t[0];for(let n=1;n1)throw new m("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(t))}mergeFunction(t){return Object(l.tidy)(()=>vt(t,this.axis))}computeOutputShape(t){if(!Array.isArray(t)||!Array.isArray(t[0]))throw new m("A `Concatenate` layer should be called on a list of inputs.");const e=t,n=e[0].slice(),r=this.axis<0?n.length+this.axis:this.axis;for(const t of e.slice(1)){if(null==n[r]||null==t[r]){n[r]=null;break}n[r]+=t[r]}return n}computeMask(t,e){if(null==e)return null;if(!Array.isArray(e))throw new m("`mask` should be an array for Concatenate");if(!Array.isArray(t))throw new m("`inputs` should be an array for Concatenate");if(e.length!==t.length)throw new m(`Mismatch in the length of mask (${e.length}) and the legnth of inputs (${t.length})`);return l.tidy(()=>{let n=!0;if(e.forEach(t=>{null==t||(n=!1)}),n)return null;const r=[];for(let n=0;n"A `Dot` layer should be called on a list of exactly 2 inputs.");const e=t[0],n=t[1];if(e.length>3||n.length>3)throw new g("Dot layer does not support tensors of 4D or higher rank yet.");const r=this.interpretAxes(e,n);if(e[r[0]]!==n[r[1]])throw new m(`Dimension incompatibility: ${e[r[0]]} !== ${n[r[1]]}`)}mergeFunction(t){if(2!==t.length)throw new m(`A \`Dot\` layer must be called on exactly 2 inputs, but received ${t.length} input(s).`);let e,n=t[0],r=t[1];return e=Array.isArray(this.axes)?this.axes.map((e,n)=>Ri(e,t[n].shape.length)):[Ri(this.axes,n.shape.length),Ri(this.axes,r.shape.length)],this.normalize&&(n=We(n,e[0]),r=We(r,e[1])),function(t,e,n){if(t.shape.length>3||e.shape.length>3)throw new g("batchDot is not implemented for tensors of 4D or higher rank yet");if(l.util.assert(t.shape.length>=2,()=>"batchDot requires the rank of x to be >= 2, but got "+t.shape.length),l.util.assert(t.shape.length>=2,()=>"batchDot requires the rank of y to be >= 2, but got "+e.shape.length),"number"==typeof n&&(n=[n,n]),"complex64"===t.dtype||"complex64"===e.dtype)throw new g("batchDot is not implemented for complex64-type Tensors yet.");const r=t.shape.length,i=e.shape.length;null==n&&(n=[r-1,i-2]);const s=n;return l.tidy(()=>{let n,a;if(r>i){n=r-i;const t=[];for(let e=0;er){n=i-r;const e=[];for(let t=0;t0){let t;t=r>i?r+i-3:r-1;const e=[];for(let r=t;r"A `Dot` layer should be called on a list of exactly 2 inputs.");const e=t[0].slice(),n=t[1].slice();if(e.length>3||n.length>3)throw new g("Dot layer does not support tensors of 4D or higher rank yet.");const r=this.interpretAxes(e,n);e.splice(r[0],1),n.splice(r[1],1),n.splice(0,1);const i=e.concat(n);return 1===i.length&&i.push(1),i}computeMask(t,e){return null}getConfig(){const t={axes:this.axes,normalize:this.normalize},e=super.getConfig();return Object.assign(t,e),t}}Pi.className="Dot",l.serialization.registerClass(Pi); /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */ class Fi extends Ie{constructor(t){super(t),this.supportsMasking=!0,this.stddev=t.stddev}computeOutputShape(t){return t}getConfig(){const t=super.getConfig(),e={stddev:this.stddev};return Object.assign(e,t),e}call(t,e){return Object(l.tidy)(()=>{this.invokeCallHook(t,e);const n=ve(t);return Nt(()=>_t(n.shape,0,this.stddev).add(n),()=>n,e.training||!1)})}}Fi.className="GaussianNoise",l.serialization.registerClass(Fi);class zi extends Ie{constructor(t){super(t),this.supportsMasking=!0,this.rate=t.rate}computeOutputShape(t){return t}getConfig(){const t=super.getConfig(),e={rate:this.rate};return Object.assign(e,t),e}call(t,e){return Object(l.tidy)(()=>{this.invokeCallHook(t,e);const n=ve(t);if(this.rate>0&&this.rate<1){return Nt(()=>{const t=Math.sqrt(this.rate/(1-this.rate));return n.mul(_t(n.shape,1,t))},()=>n,e.training||!1)}return n})}}zi.className="GaussianDropout",l.serialization.registerClass(zi);class Li extends Ie{constructor(t){super(t),this.supportsMasking=!0,this.rate=t.rate,this.noiseShape=t.noiseShape}_getNoiseShape(t){return this.noiseShape||ve(t).shape}computeOutputShape(t){return t}getConfig(){const t=super.getConfig(),e={rate:this.rate};return Object.assign(e,t),e}call(t,e){return Object(l.tidy)(()=>{if(this.rate<1&&this.rate>0){const n=this._getNoiseShape(t);return Nt(()=>{const e=ve(t),r=-1.7580993408473766;let i=Object(l.greaterEqual)(Object(l.randomUniform)(n),this.rate);i=ft(i,"float32");const s=((1-this.rate)*(1+this.rate*r**2))**-.5,a=-s*r*this.rate;return e.mul(i).add(i.add(-1).mul(r)).mul(s).add(a)},()=>ve(t),e.training||!1)}return t})}} /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */ function $i(t,e,n,r,i,s=.001){let a;if(2===t.rank)a=l.batchNorm2d(t,e,n,r,i,s);else if(3===t.rank)a=l.batchNorm3d(t,e,n,r,i,s);else{if(4!==t.rank)throw new g(`batchNormalization is not implemented for array of rank ${t.rank} yet`);a=l.batchNorm4d(t,e,n,r,i,s)}return a}function Bi(t,e,n,r,i=.001){return l.util.arraysEqual(r.slice().sort(),pt(0,t.rank-1))?function(t,e,n,r,i=.001){return Object(l.tidy)(()=>{const s=l.moments(t,r),a=s.mean,o=s.variance;return[$i(t,a,o,n,e,i),a,o]})}(t,e,n,r,i):function(t,e,n,r,i=.001){return Object(l.tidy)(()=>{const s=l.moments(t,r),a=s.mean,o=s.variance,u=[];for(const e of pt(0,t.rank))-1!==r.indexOf(e)?u.push(1):u.push(t.shape[e]);const c=a.reshape(u),h=o.reshape(u),d=null==e?null:e.reshape(u),p=null==n?null:n.reshape(u);return[$i(t,c,h,p,d,i),a,o]})}(t,e,n,r,i)}Li.className="AlphaDropout",l.serialization.registerClass(Li);class qi extends Ie{constructor(t){null==t&&(t={}),super(t),this.supportsMasking=!0,this.axis=null==t.axis?-1:t.axis,this.momentum=null==t.momentum?.99:t.momentum,this.epsilon=null==t.epsilon?.001:t.epsilon,this.center=null==t.center||t.center,this.scale=null==t.scale||t.scale,this.betaInitializer=Yt(t.betaInitializer||"zeros"),this.gammaInitializer=Yt(t.gammaInitializer||"ones"),this.movingMeanInitializer=Yt(t.movingMeanInitializer||"zeros"),this.movingVarianceInitializer=Yt(t.movingVarianceInitializer||"ones"),this.betaConstraint=U(t.betaConstraint),this.gammaConstraint=U(t.gammaConstraint),this.betaRegularizer=Ir(t.betaRegularizer),this.gammaRegularizer=Ir(t.gammaRegularizer)}build(t){t=we(t);const e=this.axis>=0?this.axis:this.axis+t.length,n=t[e];if(null==n)throw new m(`Axis ${e} of input tensor should have a defined dimension but the layer received an input with shape `+JSON.stringify(t)+".");this.inputSpec=[new ke({ndim:t.length,axes:{[e]:n}})];const r=[n];this.scale&&(this.gamma=this.addWeight("gamma",r,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",r,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",r,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",r,null,this.movingVarianceInitializer,null,!1),this.built=!0}call(t,e){return Object(l.tidy)(()=>{const n=null!=e.training&&e.training,r=ve(t),i=r.shape,s=i.length,a=pt(0,s),o=this.axis>=0?this.axis:this.axis+s;a.splice(o,1);const u=y(1,s);u[o]=i[o];const c=a.slice();c.sort();const h=!l.util.arraysEqual(c,pt(0,s).slice(0,s-1));if(!n)return(()=>{if(h){const t=this.movingMean.read().reshape(u),e=this.movingVariance.read().reshape(u),n=this.center?this.beta.read().reshape(u):null,i=this.scale?this.gamma.read().reshape(u):null;return $i(r,t,e,n,i,this.epsilon)}return $i(r,this.movingMean.read(),this.movingVariance.read(),null==this.beta?null:this.beta.read(),null==this.gamma?null:this.gamma.read(),this.epsilon)})();const[d,p,f]=Bi(r,this.gamma.read(),this.beta.read(),a,this.epsilon),m=(t,e,n)=>{l.tidy(()=>{const r=1-n,i=t.read(),s=i.sub(e).mul(r);t.write(i.sub(s))})};return(()=>{m(this.movingMean,p,this.momentum),m(this.movingVariance,f,this.momentum)})(),d})}getConfig(){const t={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:Xt(this.betaInitializer),gammaInitializer:Xt(this.gammaInitializer),movingMeanInitializer:Xt(this.movingMeanInitializer),movingVarianceInitializer:Xt(this.movingVarianceInitializer),betaRegularizer:Ar(this.betaRegularizer),gammaRegularizer:Ar(this.gammaRegularizer),betaConstraint:q(this.betaConstraint),gammaConstraint:q(this.gammaConstraint)},e=super.getConfig();return Object.assign(t,e),t}}qi.className="BatchNormalization",l.serialization.registerClass(qi);class Vi extends Ie{constructor(t){if(null==t&&(t={}),super(t),this.axis=null==t.axis?-1:t.axis,"number"==typeof this.axis){if(!Number.isInteger(this.axis))throw new Error("Expected axis to be an integer, but received "+this.axis)}else{if(!Array.isArray(this.axis))throw new Error("Expected axis to be an integer or an array of integers, but received "+JSON.stringify(this.axis));for(const t of this.axis)if(!Number.isInteger(t))throw new Error("Expected axis to be an array of integers, but received "+JSON.stringify(this.axis))}this.epsilon=null==t.epsilon?.001:t.epsilon,this.center=null==t.center||t.center,this.scale=null==t.scale||t.scale,this.betaInitializer=Yt(t.betaInitializer||"zeros"),this.gammaInitializer=Yt(t.gammaInitializer||"ones"),this.betaRegularizer=Ir(t.betaRegularizer),this.gammaRegularizer=Ir(t.gammaRegularizer),this.supportsMasking=!0}build(t){const e=(t=we(t)).length;"number"==typeof this.axis&&(this.axis=[this.axis]);for(let t=0;t=e)throw new Error("Invalid axis: "+t);if(this.axis.length!==N(this.axis).length)throw new Error("Found duplicate axes in: "+this.axis);const n=this.axis.map(e=>t[e]);this.scale?this.gamma=this.addWeight("gamma",n,"float32",this.gammaInitializer,this.gammaRegularizer,!0):this.gamma=null,this.center?this.beta=this.addWeight("beta",n,"float32",this.betaInitializer,this.betaRegularizer,!0):this.beta=null,this.built=!0}call(t,e){const n=ve(t),r=n.shape,i=r.length;return Object(l.tidy)(()=>{let{mean:t,variance:e}=Object(l.moments)(n,this.axis,!0);const s=y(1,i);for(const t of this.axis)s[t]=r[t];const a=t=>null!=t&&t.shape.length!==i&&this.axis!==[i-1]?t.reshape(s):t;let o=a(this.gamma.read()),u=a(this.beta.read());const c=[],h=[];for(let t=0;t=0?t[2]+this.padding[0][0]+this.padding[0][1]:null,n=null!=t[3]&&t[3]>=0?t[3]+this.padding[1][0]+this.padding[1][1]:null,[t[0],t[1],e,n]):(e=null!=t[1]&&t[1]>=0?t[1]+this.padding[0][0]+this.padding[0][1]:null,n=null!=t[2]&&t[2]>=0?t[2]+this.padding[1][0]+this.padding[1][1]:null,[t[0],e,n,t[3]])}call(t,e){return Object(l.tidy)(()=>{return e=ve(t),n=this.padding,r=this.dataFormat,Object(l.tidy)(()=>{if(4!==e.rank)throw new m("temporalPadding expects input tensor to be 4-D, but received a "+e.rank+"-D tensor.");if(null==n&&(n=[[1,1],[1,1]]),2!==n.length||2!==n[0].length||2!==n[1].length)throw new m("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(null==r&&(r="channelsLast"),"channelsLast"!==r&&"channelsFirst"!==r)throw new m(`Unknown data format: ${r}. Supported data formats are 'channelsLast' and 'channelsFirst.`);let t;return t="channelsFirst"===r?[[0,0],[0,0],n[0],n[1]]:[[0,0],n[0],n[1],[0,0]],l.pad(e,t)});var e,n,r})}getConfig(){const t={padding:this.padding,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}} /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */ function Wi(t,e,n,r,i,s){return Object(l.tidy)(()=>{let a;tt(i),nt(s),et(r),null==n&&(n=[1,1]),null==r&&(r="valid"),null==i&&(i="channelsLast"),null==s&&(s="max"),t=$r(t,i);const o="same"===r?"same":"valid";return a="max"===s?l.maxPool(t,e,n,o):l.avgPool(t,e,n,o),"channelsFirst"===i&&(a=l.transpose(a,[0,3,1,2])),a})}function Gi(t,e,n,r,i,s){return Object(l.tidy)(()=>{let a;tt(i),nt(s),et(r),null==n&&(n=[1,1,1]),null==r&&(r="valid"),null==i&&(i="channelsLast"),null==s&&(s="max"),t=Br(t,i);const o="same"===r?"same":"valid";return a="max"===s?l.maxPool3d(t,e,n,o):l.avgPool3d(t,e,n,o),"channelsFirst"===i&&(a=l.transpose(a,[0,4,1,2,3])),a})}Ui.className="ZeroPadding2D",l.serialization.registerClass(Ui);class Hi extends Ie{constructor(t){if(null==t.poolSize&&(t.poolSize=2),super(t),"number"==typeof t.poolSize)this.poolSize=[t.poolSize];else{if(!Array.isArray(t.poolSize)||1!==t.poolSize.length||"number"!=typeof t.poolSize[0])throw new m("poolSize for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(t.poolSize));this.poolSize=t.poolSize}if(M(this.poolSize,"poolSize"),null==t.strides)this.strides=this.poolSize;else if("number"==typeof t.strides)this.strides=[t.strides];else{if(!Array.isArray(t.strides)||1!==t.strides.length||"number"!=typeof t.strides[0])throw new m("strides for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(t.strides));this.strides=t.strides}M(this.strides,"strides"),this.padding=null==t.padding?"valid":t.padding,et(this.padding),this.inputSpec=[new ke({ndim:3})]}computeOutputShape(t){const e=zr((t=we(t))[1],this.poolSize[0],this.padding,this.strides[0]);return[t[0],e,t[2]]}call(t,e){return Object(l.tidy)(()=>{this.invokeCallHook(t,e),t=mt(ve(t),2);const n=this.poolingFunction(ve(t),[this.poolSize[0],1],[this.strides[0],1],this.padding,"channelsLast");return l.squeeze(n,[2])})}getConfig(){const t={poolSize:this.poolSize,padding:this.padding,strides:this.strides},e=super.getConfig();return Object.assign(t,e),t}}class Ki extends Hi{constructor(t){super(t)}poolingFunction(t,e,n,r,i){return tt(i),et(r),Wi(t,e,n,r,i,"max")}}Ki.className="MaxPooling1D",l.serialization.registerClass(Ki);class Qi extends Hi{constructor(t){super(t)}poolingFunction(t,e,n,r,i){return tt(i),et(r),Wi(t,e,n,r,i,"avg")}}Qi.className="AveragePooling1D",l.serialization.registerClass(Qi);class Xi extends Ie{constructor(t){if(null==t.poolSize&&(t.poolSize=[2,2]),super(t),this.poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize],null==t.strides)this.strides=this.poolSize;else if(Array.isArray(t.strides)){if(2!==t.strides.length)throw new m("If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length "+t.strides.length+".");this.strides=t.strides}else this.strides=[t.strides,t.strides];M(this.poolSize,"poolSize"),M(this.strides,"strides"),this.padding=null==t.padding?"valid":t.padding,this.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,tt(this.dataFormat),et(this.padding),this.inputSpec=[new ke({ndim:4})]}computeOutputShape(t){t=we(t);let e="channelsFirst"===this.dataFormat?t[2]:t[1],n="channelsFirst"===this.dataFormat?t[3]:t[2];return e=zr(e,this.poolSize[0],this.padding,this.strides[0]),n=zr(n,this.poolSize[1],this.padding,this.strides[1]),"channelsFirst"===this.dataFormat?[t[0],t[1],e,n]:[t[0],e,n,t[3]]}call(t,e){return Object(l.tidy)(()=>(this.invokeCallHook(t,e),this.poolingFunction(ve(t),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){const t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}}class Yi extends Xi{constructor(t){super(t)}poolingFunction(t,e,n,r,i){return tt(i),et(r),Wi(t,e,n,r,i,"max")}}Yi.className="MaxPooling2D",l.serialization.registerClass(Yi);class Ji extends Xi{constructor(t){super(t)}poolingFunction(t,e,n,r,i){return tt(i),et(r),Wi(t,e,n,r,i,"avg")}}Ji.className="AveragePooling2D",l.serialization.registerClass(Ji);class Zi extends Ie{constructor(t){if(null==t.poolSize&&(t.poolSize=[2,2,2]),super(t),this.poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize,t.poolSize],null==t.strides)this.strides=this.poolSize;else if(Array.isArray(t.strides)){if(3!==t.strides.length)throw new m("If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length "+t.strides.length+".");this.strides=t.strides}else this.strides=[t.strides,t.strides,t.strides];M(this.poolSize,"poolSize"),M(this.strides,"strides"),this.padding=null==t.padding?"valid":t.padding,this.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,tt(this.dataFormat),et(this.padding),this.inputSpec=[new ke({ndim:5})]}computeOutputShape(t){t=we(t);let e="channelsFirst"===this.dataFormat?t[2]:t[1],n="channelsFirst"===this.dataFormat?t[3]:t[2],r="channelsFirst"===this.dataFormat?t[4]:t[3];return e=zr(e,this.poolSize[0],this.padding,this.strides[0]),n=zr(n,this.poolSize[1],this.padding,this.strides[1]),r=zr(r,this.poolSize[2],this.padding,this.strides[2]),"channelsFirst"===this.dataFormat?[t[0],t[1],e,n,r]:[t[0],e,n,r,t[4]]}call(t,e){return Object(l.tidy)(()=>(this.invokeCallHook(t,e),this.poolingFunction(ve(t),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){const t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}}class ts extends Zi{constructor(t){super(t)}poolingFunction(t,e,n,r,i){return tt(i),et(r),Gi(t,e,n,r,i,"max")}}ts.className="MaxPooling3D",l.serialization.registerClass(ts);class es extends Zi{constructor(t){super(t)}poolingFunction(t,e,n,r,i){return tt(i),et(r),Gi(t,e,n,r,i,"avg")}}es.className="AveragePooling3D",l.serialization.registerClass(es);class ns extends Ie{constructor(t){super(t),this.inputSpec=[new ke({ndim:3})]}computeOutputShape(t){return[t[0],t[2]]}call(t,e){throw new g}}class rs extends ns{constructor(t){super(t||{})}call(t,e){return Object(l.tidy)(()=>{const e=ve(t);return l.mean(e,1)})}}rs.className="GlobalAveragePooling1D",l.serialization.registerClass(rs);class is extends ns{constructor(t){super(t||{})}call(t,e){return Object(l.tidy)(()=>{const e=ve(t);return l.max(e,1)})}}is.className="GlobalMaxPooling1D",l.serialization.registerClass(is);class ss extends Ie{constructor(t){super(t),this.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,tt(this.dataFormat),this.inputSpec=[new ke({ndim:4})]}computeOutputShape(t){return t=t,"channelsLast"===this.dataFormat?[t[0],t[3]]:[t[0],t[1]]}call(t,e){throw new g}getConfig(){const t={dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}}class as extends ss{call(t,e){return Object(l.tidy)(()=>{const e=ve(t);return"channelsLast"===this.dataFormat?l.mean(e,[1,2]):l.mean(e,[2,3])})}}as.className="GlobalAveragePooling2D",l.serialization.registerClass(as);class os extends ss{call(t,e){return Object(l.tidy)(()=>{const e=ve(t);return"channelsLast"===this.dataFormat?l.max(e,[1,2]):l.max(e,[2,3])})}}os.className="GlobalMaxPooling2D",l.serialization.registerClass(os); /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */ class us extends Ie{constructor(t){super(t),this.layer=t.layer}build(t){this.built=!0}get trainable(){return null!=this.layer&&this.layer.trainable}set trainable(t){null!=this.layer&&(this.layer.trainable=t)}get trainableWeights(){return this.layer.trainableWeights}get nonTrainableWeights(){return this.layer.nonTrainableWeights}get updates(){return this.layer._updates}get losses(){return this.layer.losses}getWeights(){return this.layer.getWeights()}setWeights(t){this.layer.setWeights(t)}getConfig(){const t={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},e=super.getConfig();return Object.assign(t,e),t}setFastWeightInitDuringBuild(t){super.setFastWeightInitDuringBuild(t),null!=this.layer&&this.layer.setFastWeightInitDuringBuild(t)}static fromConfig(t,e,n={}){const r=Ue(e.layer,n);delete e.layer;const i={layer:r};return Object.assign(i,e),new t(i)}}class cs extends us{constructor(t){super(t),this.supportsMasking=!0}build(t){if((t=we(t)).length<3)throw new m("TimeDistributed layer expects an input shape >= 3D, but received input shape "+JSON.stringify(t));this.inputSpec=[{shape:t}];const e=[t[0]].concat(t.slice(2));this.layer.built||(this.layer.build(e),this.layer.built=!0),super.build(t)}computeOutputShape(t){const e=[(t=we(t))[0]].concat(t.slice(2)),n=this.layer.computeOutputShape(e),r=t[1];return[n[0],r].concat(n.slice(1))}call(t,e){return Object(l.tidy)(()=>ri((t,n)=>[ve(this.layer.call(t,e)),[]],t=ve(t),[],!1,null,null,!1,!0)[1])}}cs.className="TimeDistributed",l.serialization.registerClass(cs);class ls extends us{constructor(t){super(t);const e=t.layer.getConfig(),n={};n.className=t.layer.getClassName(),n.config=e,this.forwardLayer=Ue(n),e.goBackwards=!0!==e.goBackwards;const r={};var i;if(r.className=t.layer.getClassName(),r.config=e,this.backwardLayer=Ue(r),this.forwardLayer.name="forward_"+this.forwardLayer.name,this.backwardLayer.name="backward_"+this.backwardLayer.name,this.mergeMode=void 0===t.mergeMode?"concat":t.mergeMode,i=this.mergeMode,E(J,"BidirectionalMergeMode",i),t.weights)throw new g("weights support is not implemented for Bidirectional layer yet.");this._stateful=t.layer.stateful,this.returnSequences=t.layer.returnSequences,this.returnState=t.layer.returnState,this.supportsMasking=!0,this._trainable=!0,this.inputSpec=t.layer.inputSpec,this.numConstants=null}get trainable(){return this._trainable}set trainable(t){this._trainable=t,null!=this.forwardLayer&&(this.forwardLayer.trainable=t),null!=this.backwardLayer&&(this.backwardLayer.trainable=t)}getWeights(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())}setWeights(t){const e=t.length,n=Math.floor(e/2);this.forwardLayer.setWeights(t.slice(0,n)),this.backwardLayer.setWeights(t.slice(n))}computeOutputShape(t){let e,n,r,i=this.forwardLayer.computeOutputShape(t);return Array.isArray(i)&&Array.isArray(i[0])||(i=[i]),i=i,this.returnState?(r=i.slice(1),e=i[0]):e=i[0],e=e,"concat"===this.mergeMode?(e[e.length-1]*=2,n=[e]):n=null==this.mergeMode?[e,e.slice()]:[e],this.returnState?null==this.mergeMode?n.concat(r).concat(r.slice()):[e].concat(r).concat(r.slice()):x(n)}apply(t,e){let n=null==e?null:e.initialState,r=null==e?null:e.constants;null==e&&(e={});const i=ni(t,n,r,this.numConstants);if(t=i.inputs,n=i.initialState,r=i.constants,Array.isArray(t)&&(n=t.slice(1),t=t[0]),(null==n||0===n.length)&&null==r)return super.apply(t,e);const s=[],a=[];if(null!=n){const t=n.length;if(t%2>0)throw new m("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");e.initialState=n,s.push(...n);const r=n.map(t=>new ke({shape:t.shape}));this.forwardLayer.stateSpec=r.slice(0,t/2),this.backwardLayer.stateSpec=r.slice(t/2),a.push(...r)}if(null!=r)throw new g("Support for constants in Bidirectional layers is not implemented yet.");const o=s[0]instanceof Te;for(const t of s)if(t instanceof Te!==o)throw new m("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors");if(o){const n=[t].concat(s),r=this.inputSpec.concat(a),i=this.inputSpec;this.inputSpec=r;const o=super.apply(n,e);return this.inputSpec=i,o}return super.apply(t,e)}call(t,e){return Object(l.tidy)(()=>{const n=e.initialState;let r,i,s,a;if(null==n)r=this.forwardLayer.call(t,e),i=this.backwardLayer.call(t,e);else{const s=n.slice(0,n.length/2),a=n.slice(n.length/2);r=this.forwardLayer.call(t,Object.assign(e,{initialState:s})),i=this.backwardLayer.call(t,Object.assign(e,{initialState:a}))}return this.returnState&&(Array.isArray(r)&&(s=r.slice(1).concat(i.slice(1))),r=r[0],i=i[0]),this.returnSequences&&(i=l.reverse(i,1)),"concat"===this.mergeMode?a=vt([r,i]):"sum"===this.mergeMode?a=l.add(r,i):"ave"===this.mergeMode?a=l.mul(.5,l.add(r,i)):"mul"===this.mergeMode?a=l.mul(r,i):null==this.mergeMode&&(a=[r,i]),this.returnState?null==this.mergeMode?a.concat(s):[a].concat(s):a})}resetStates(t){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()}build(t){it(this.forwardLayer.name,()=>{this.forwardLayer.build(t)}),it(this.backwardLayer.name,()=>{this.backwardLayer.build(t)}),this.built=!0}computeMask(t,e){let n;if(Array.isArray(e)&&(e=e[0]),n=this.returnSequences?null==this.mergeMode?[e,e]:e:null==this.mergeMode?[null,null]:null,this.returnState){const t=this.forwardLayer.states.map(t=>null);return Array.isArray(n)?n.concat(t).concat(t):[n].concat(t).concat(t)}return n}get trainableWeights(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)}get nonTrainableWeights(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)}setFastWeightInitDuringBuild(t){super.setFastWeightInitDuringBuild(t),null!=this.forwardLayer&&this.forwardLayer.setFastWeightInitDuringBuild(t),null!=this.backwardLayer&&this.backwardLayer.setFastWeightInitDuringBuild(t)}getConfig(){const t={mergeMode:this.mergeMode},e=super.getConfig();return Object.assign(t,e),t}static fromConfig(t,e){const n=Ue(e.layer);if(delete e.layer,null!=e.numConstants)throw new g("Deserialization of a Bidirectional layer with numConstants present is not supported yet.");const r=e;return r.layer=n,new t(r)}} /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */ function hs(t){return new Ee(t)}function ds(t){return new Dr(t)}function ps(t){return new Er(t)}function fs(t){return new jr(t)}function ms(t){return new Mr(t)}function gs(t){return new Pr(t)}function bs(t){return new Rr(t)}function ys(t){return new Jr(t)}function vs(t){return new Hr(t)}function ws(t){return new Qr(t)}function xs(t){return new Kr(t)}function _s(t){return new Yr(t)}function Os(t){return new Zr(t)}function Ss(t){return new ti(t)}function ks(t){return new ei(t)}function Ts(t){return new _i(t)}function Cs(t){return new wi(t)}function As(t){return new yi(t)}function Ns(t){return new vi(t)}function Is(t){return new xi(t)}function Es(t){return new Oi(t)}function js(t){return new Si(t)}function Ms(t){return new ki(t)}function Ds(t){return new Ci(t)}function Rs(t){return new Ni(t)}function Ps(t){return new Ei(t)}function Fs(t){return new Di(t)}function zs(t){return new ji(t)}function Ls(t){return new Mi(t)}function $s(t){return new Ii(t)}function Bs(t){return new Pi(t)}function qs(t){return new qi(t)}function Vs(t){return new Vi(t)}function Us(t){return new Ui(t)}function Ws(t){return new Qi(t)}function Gs(t){return Ws(t)}function Hs(t){return Ws(t)}function Ks(t){return new Ji(t)}function Qs(t){return Ks(t)}function Xs(t){return Ks(t)}function Ys(t){return new es(t)}function Js(t){return Ys(t)}function Zs(t){return Ys(t)}function ta(t){return new rs(t)}function ea(t){return new as(t)}function na(t){return new is(t)}function ra(t){return new os(t)}function ia(t){return new Ki(t)}function sa(t){return new Yi(t)}function aa(t){return new ts(t)}function oa(t){return new ci(t)}function ua(t){return new ui(t)}function ca(t){return new hi(t)}function la(t){return new li(t)}function ha(t){return new oi(t)}function da(t){return new ai(t)}function pa(t){return new bi(t)}function fa(t){return new gi(t)}function ma(t){return new ii(t)}function ga(t){return new di(t)}function ba(t){return new ls(t)}function ya(t){return new cs(t)}ls.className="Bidirectional",l.serialization.registerClass(ls);const va=na,wa=ra,xa=ia,_a=sa;function Oa(t){return new Fi(t)}function Sa(t){return new zi(t)}function ka(t){return new Li(t)}function Ta(t){return new Ti(t)}function Ca(t,e){return rn(t,e)}function Aa(t,e){return cn(t,e)}function Na(t,e){return ln(t,e)}function Ia(t,e){return sn(t,e)}function Ea(t,e){return hn(t,e)}function ja(t,e){return on(t,e)}function Ma(t,e){return un(t,e)}function Da(t,e){return tn(t,e)}function Ra(t,e){return He(t,e)}function Pa(t,e){return Ke(t,e)}function Fa(t,e){return Ke(t,e)}function za(t,e){return Ke(t,e)}function La(t,e){return Ge(t,e)}function $a(t,e){return Ge(t,e)}function Ba(t,e){return Ge(t,e)} /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */ /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */function qa(t){return new Tr(t)}function Va(t){return Sr(e=t),new Tr({l1:null!=e?e.l1:null,l2:0});var e}function Ua(t){return Sr(e=t),new Tr({l2:null!=e?e.l2:null,l1:0});var e} /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */class Wa extends Pe{constructor(){super(...arguments),this.model=null}setModel(t){if(!(t instanceof Yn))throw new Error("model must be a LayersModel, not some other Container");this.model=t}}function Ga(t,e){return te}class Ka extends Wa{constructor(t){if(super(),null==t&&(t={}),t.restoreBestWeights)throw new g("restoreBestWeights = True is not implemented in EarlyStopping yet.");this.monitor=t.monitor||"val_loss",this.minDelta=Math.abs(t.minDelta||0),this.patience=t.patience||0,this.verbose=t.verbose||0,this.mode=t.mode||"auto",this.baseline=t.baseline,-1===["auto","min","max"].indexOf(this.mode)&&(console.warn(`EarlyStopping mode '${this.mode}' is invalid. Falling back to mode 'auto'.`),this.mode="auto"),"min"===this.mode?this.monitorFunc=Ga:"max"===this.mode||-1!==this.monitor.indexOf("acc")?this.monitorFunc=Ha:this.monitorFunc=Ga,this.monitorFunc===Ga&&(this.minDelta*=-1)}async onTrainBegin(t){this.wait=0,this.stoppedEpoch=0,null!=this.baseline?this.best=this.baseline:this.best=this.monitorFunc===Ga?1/0:-1/0}async onEpochEnd(t,e){await Me(e);const n=this.getMonitorValue(e);null!=n&&(this.monitorFunc(n-this.minDelta,this.best)?(this.best=n,this.wait=0):(this.wait++,this.wait>=this.patience&&(this.stoppedEpoch=t,this.model.stopTraining=!0)))}async onTrainEnd(t){this.stoppedEpoch>0&&this.verbose&&console.log(`Epoch ${this.stoppedEpoch}: early stopping.`)}getMonitorValue(t){null==t&&(t={});const e=t[this.monitor];return null==e&&console.warn(`Metric for EarlyStopping ${this.monitor} is not available. Available metrics are: `+Object.keys(t)),e}}const Qa={earlyStopping:function(t){return new Ka(t)}}; /** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */var Xa=n(60),Ya=n(2); /** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ class Ja{constructor(t,e,n){this.node=t,this.tensorMap=e,this.context=n,this.inputs=[],this.attrs={},this.inputs=t.inputNames.map(t=>this.getInput(t)),null!=t.rawAttrs&&(this.attrs=Object.keys(t.rawAttrs).reduce((t,e)=>(t[e]=this.getAttr(e),t),{}))}getInput(t){return Object(Ya.e)(t,this.tensorMap,this.context)}getAttr(t,e){const n=this.node.rawAttrs[t];if(null!=n.tensor)return Object(Ya.e)(t,this.tensorMap,this.context);if(null!=n.i||null!=n.f)return Object(Xa.f)(this.node.rawAttrs,t,e);if(null!=n.s)return Object(Xa.i)(this.node.rawAttrs,t,e);if(null!=n.b)return Object(Xa.c)(this.node.rawAttrs,t,e);if(null!=n.shape)return Object(Xa.k)(this.node.rawAttrs,t,e);if(null!=n.type)return Object(Xa.e)(this.node.rawAttrs,t,e);if(null!=n.list){if(null!=n.list.i||null!=n.list.f)return Object(Xa.g)(this.node.rawAttrs,t,e);if(null!=n.list.s)return Object(Xa.h)(this.node.rawAttrs,t,e);if(null!=n.list.shape)return Object(Xa.j)(this.node.rawAttrs,t,e);if(null!=n.list.b)return Object(Xa.b)(this.node.rawAttrs,t,e);if(null!=n.list.type)return Object(Xa.d)(this.node.rawAttrs,t,e)}return e}}var Za=n(112),to=n(13),eo=n(220),no=n(132),ro=n(9),io=n(16),so=n(168),ao=n(122),oo=n(14),uo=n(103),co=n(68),lo=n(44),ho=n(106);var po=n(41),fo=n(218),mo=n(219),go=n(221),bo=n(222),yo=n(223),vo=n(162),wo=n(224),xo=n(226),_o=n(51),Oo=n(125),So=n(165),ko=n(127),To=n(229),Co=n(40),Ao=n(230),No=n(128),Io=n(76),Eo=n(174),jo=n(100),Mo=n(30),Do=n(241),Ro=n(94),Po=n(84),Fo=n(242),zo=n(182),Lo=n(87),$o=n(184),Bo=n(244),qo=n(185),Vo=n(175),Uo=n(35),Wo=n(27),Go=n(149),Ho=n(247),Ko=n(227),Qo=n(181),Xo=n(179),Yo=n(172),Jo=n(133); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function Zo(t,e,n=""){l.util.assert(function(t,e){if(t.length!==e.length)return!1;for(let n=0;nn+` Shapes ${t} and ${e} must match`)}class tu{constructor(t,e,n,r,i,s,a){this.name=t,this.dtype=e,this.maxSize=n,this.elementShape=r,this.identicalElementShapes=i,this.dynamicSize=s,this.clearAfterRead=a,this.tensors=[],this.closed_=!1,this.idTensor=Object(l.scalar)(0),Object(l.keep)(this.idTensor)}get id(){return this.idTensor.id}get closed(){return this.closed_}clearAndClose(t){this.tensors.forEach(e=>{null!=t&&t.has(e.tensor.id)||e.tensor.dispose()}),this.tensors=[],this.closed_=!0,this.idTensor.dispose()}size(){return this.tensors.length}read(t){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(t<0||t>=this.size())throw new Error(`Tried to read from index ${t}, but array size is: ${this.size()}`);const e=this.tensors[t];if(e.cleared)throw new Error(`TensorArray ${this.name}: Could not read index ${t} twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).`);return this.clearAfterRead&&(e.cleared=!0),e.read=!0,e.tensor}readMany(t){return t.map(t=>this.read(t))}write(t,e){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(t<0||!this.dynamicSize&&t>=this.maxSize)throw new Error(`Tried to write to index ${t}, but array is not resizeable and size is: ${this.maxSize}`);const n=this.tensors[t]||{};if(e.dtype!==this.dtype)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${t},\n because the value dtype is ${e.dtype}, but TensorArray dtype is ${this.dtype}.`);if(0!==this.size()||null!=this.elementShape&&0!==this.elementShape.length||(this.elementShape=e.shape),Zo(this.elementShape,e.shape,`TensorArray ${this.name}: Could not write to TensorArray index ${t}.`),n.read)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${t}, because it has already been read.`);if(n.written)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${t}, because it has already been written.`);n.tensor=e,Object(l.keep)(e),n.written=!0,this.tensors[t]=n}writeMany(t,e){if(t.length!==e.length)throw new Error(`TensorArray ${this.name}: could not write multiple tensors,because the index size: ${t.length} is not the same as tensors size: ${e.length}.`);t.forEach((t,n)=>this.write(t,e[n]))}gather(t,e){if(e&&e!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but gather requested dtype ${e}`);if(t)t=t.slice(0,this.size());else{t=[];for(let e=0;e=this.maxSize)throw new Error(`Max index must be < array size (${n} vs. ${this.maxSize})`);this.writeMany(t,Object(l.unstack)(e,0))}split(t,e){if(e.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${e.dtype}`);let n=0;const r=t.map(t=>(n+=t,n));if(n!==e.shape[0])throw new Error(`Expected sum of lengths to be equal to\n tensor.shape[0], but sum of lengths is\n ${n}, and tensor's shape is: ${e.shape}`);if(!this.dynamicSize&&t.length!==this.maxSize)throw new Error(`TensorArray's size is not equal to the size of lengths (${this.maxSize} vs. ${t.length}), and the TensorArray is not marked as dynamically resizeable`);const i=0===n?0:e.size/n,s=[];Object(l.tidy)(()=>{e=Object(l.reshape)(e,[1,n,i]);for(let n=0;n{if(n!==t.dtype)throw new Error(`Invalid data types; 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All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const nu=async(t,e,n)=>{switch(t.op){case"If":case"StatelessIf":{const r=Object(Ya.d)("thenBranch",t,e,n),i=Object(Ya.d)("elseBranch",t,e,n),s=Object(Ya.d)("cond",t,e,n),a=Object(Ya.d)("args",t,e,n);return(await s.data())[0]?n.functionMap[r].executeFunctionAsync(a,n.tensorArrayMap,n.tensorListMap):n.functionMap[i].executeFunctionAsync(a,n.tensorArrayMap,n.tensorListMap)}case"While":case"StatelessWhile":{const r=Object(Ya.d)("body",t,e,n),i=Object(Ya.d)("cond",t,e,n),s=Object(Ya.d)("args",t,e,n),a=await n.functionMap[i].executeFunctionAsync(s,n.tensorArrayMap,n.tensorListMap),o=s.map(t=>t.id);let u=await a[0].data();a.forEach(t=>{t.kept||-1!==o.indexOf(t.id)||t.dispose()});let c=s;for(;u[0];){const t=c;c=await n.functionMap[r].executeFunctionAsync(c,n.tensorArrayMap,n.tensorListMap);const e=c.map(t=>t.id);t.forEach(t=>{t.kept||-1!==o.indexOf(t.id)||-1!==e.indexOf(t.id)||t.dispose()});const s=await n.functionMap[i].executeFunctionAsync(c,n.tensorArrayMap,n.tensorListMap);u=await s[0].data(),s.forEach(t=>{t.kept||-1!==o.indexOf(t.id)||-1!==e.indexOf(t.id)||t.dispose()})}return c}case"LoopCond":{const r=Object(Ya.d)("pred",t,e,n);return[Object(Ya.a)(r)]}case"Switch":{const r=Object(Ya.d)("pred",t,e,n);let i=Object(Ya.d)("data",t,e,n);return i.kept||(i=Object(Ya.a)(i)),(await r.data())[0]?[void 0,i]:[i,void 0]}case"Merge":{const r=t.inputNames.find(t=>void 0!==Object(Ya.e)(t,e,n));if(r){const t=Object(Ya.e)(r,e,n);return[Object(Ya.a)(t)]}return}case"Enter":{const r=Object(Ya.d)("frameName",t,e,n),i=Object(Ya.d)("tensor",t,e,n);return n.enterFrame(r),[Object(Ya.a)(i)]}case"Exit":{const r=Object(Ya.d)("tensor",t,e,n);return n.exitFrame(),[Object(Ya.a)(r)]}case"NextIteration":{const r=Object(Ya.d)("tensor",t,e,n);return n.nextIteration(),[Object(Ya.a)(r)]}case"TensorArrayV3":{const r=Object(Ya.d)("size",t,e,n),i=Object(Ya.d)("dtype",t,e,n),s=Object(Ya.d)("elementShape",t,e,n),a=Object(Ya.d)("dynamicSize",t,e,n),o=Object(Ya.d)("clearAfterRead",t,e,n),u=Object(Ya.d)("identicalElementShapes",t,e,n),c=Object(Ya.d)("name",t,e,n),h=new tu(c,i,r,s,u,a,o);return n.addTensorArray(h),[h.idTensor,Object(l.scalar)(1)]}case"TensorArrayWriteV3":{const r=Object(Ya.d)("tensorArrayId",t,e,n),i=Object(Ya.d)("index",t,e,n),s=Object(Ya.d)("tensor",t,e,n),a=n.getTensorArray(r.id);return a.write(i,s),[a.idTensor]}case"TensorArrayReadV3":{const r=Object(Ya.d)("tensorArrayId",t,e,n),i=Object(Ya.d)("index",t,e,n);return[n.getTensorArray(r.id).read(i)]}case"TensorArrayGatherV3":{const r=Object(Ya.d)("tensorArrayId",t,e,n),i=Object(Ya.d)("indices",t,e,n),s=Object(Ya.d)("dtype",t,e,n);return[n.getTensorArray(r.id).gather(i,s)]}case"TensorArrayScatterV3":{const r=Object(Ya.d)("tensorArrayId",t,e,n),i=Object(Ya.d)("indices",t,e,n),s=Object(Ya.d)("tensor",t,e,n),a=n.getTensorArray(r.id);return a.scatter(i,s),[a.idTensor]}case"TensorArrayConcatV3":{const r=Object(Ya.d)("tensorArrayId",t,e,n),i=n.getTensorArray(r.id),s=Object(Ya.d)("dtype",t,e,n);return[i.concat(s)]}case"TensorArraySplitV3":{const r=Object(Ya.d)("tensorArrayId",t,e,n),i=Object(Ya.d)("tensor",t,e,n),s=Object(Ya.d)("lengths",t,e,n),a=n.getTensorArray(r.id);return 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Object(Ya.d)("x",t,e,n).map(t=>Mu.a(t.shape));case"Size":return[Du.a(Object(Ya.d)("x",t,e,n).size,"int32")];case"Rank":return[Du.a(Object(Ya.d)("x",t,e,n).rank,"int32")];case"NoOp":return[Du.a(1)];case"Print":const s=Object(Ya.d)("x",t,e,n),a=Object(Ya.d)("data",t,e,n),o=Object(Ya.d)("message",t,e,n),u=Object(Ya.d)("summarize",t,e,n);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(o);for(let t=0;t((t,e,n)=>{switch(t.op){case"Equal":return[Pu.a(Object(Ya.d)("a",t,e,n),Object(Ya.d)("b",t,e,n))];case"NotEqual":return[Fu.a(Object(Ya.d)("a",t,e,n),Object(Ya.d)("b",t,e,n))];case"Greater":return[zu.a(Object(Ya.d)("a",t,e,n),Object(Ya.d)("b",t,e,n))];case"GreaterEqual":return[Lu.a(Object(Ya.d)("a",t,e,n),Object(Ya.d)("b",t,e,n))];case"Less":return[$u.a(Object(Ya.d)("a",t,e,n),Object(Ya.d)("b",t,e,n))];case"LessEqual":return[Bu.a(Object(Ya.d)("a",t,e,n),Object(Ya.d)("b",t,e,n))];case"LogicalAnd":return[qu.a(Object(Ya.d)("a",t,e,n),Object(Ya.d)("b",t,e,n))];case"LogicalNot":return[Vu.a(Object(Ya.d)("a",t,e,n))];case"LogicalOr":return[Uu.a(Object(Ya.d)("a",t,e,n),Object(Ya.d)("b",t,e,n))];case"Select":case"SelectV2":return[Wu.a(Object(Ya.d)("condition",t,e,n),Object(Ya.d)("a",t,e,n),Object(Ya.d)("b",t,e,n))];default:throw TypeError(`Node type ${t.op} is not implemented`)}})(t,e,n));case"matrices":return l.tidy(()=>((t,e,n)=>{switch(t.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[Gu.a(Object(Ya.d)("a",t,e,n),Object(Ya.d)("b",t,e,n),Object(Ya.d)("transposeA",t,e,n),Object(Ya.d)("transposeB",t,e,n))];case"Transpose":return[Hu.a(Object(Ya.d)("x",t,e,n),Object(Ya.d)("perm",t,e,n))];case"_FusedMatMul":const[r,i]=Object(Ya.d)("fusedOps",t,e,n),s="biasadd"===r,a="prelu"===i,o=Object(Ya.d)("numArgs",t,e,n);if(s){if(a&&2!==o)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!a&&1!==o)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}const[u,c]=Object(Ya.d)("args",t,e,n);return[su.qb.matMul({a:Object(Ya.d)("a",t,e,n),b:Object(Ya.d)("b",t,e,n),transposeA:Object(Ya.d)("transposeA",t,e,n),transposeB:Object(Ya.d)("transposeB",t,e,n),bias:u,activation:i,preluActivationWeights:c})];default:throw TypeError(`Node type ${t.op} is not implemented`)}})(t,e,n));case"normalization":return l.tidy(()=>((t,e,n)=>{switch(t.op){case"FusedBatchNorm":case"FusedBatchNormV2":case"FusedBatchNormV3":return[Ku.a(Object(Ya.d)("x",t,e,n),Object(Ya.d)("mean",t,e,n),Object(Ya.d)("variance",t,e,n),Object(Ya.d)("offset",t,e,n),Object(Ya.d)("scale",t,e,n),Object(Ya.d)("epsilon",t,e,n))];case"LRN":return[Qu.a(Object(Ya.d)("x",t,e,n),Object(Ya.d)("radius",t,e,n),Object(Ya.d)("bias",t,e,n),Object(Ya.d)("alpha",t,e,n),Object(Ya.d)("beta",t,e,n))];case"Softmax":return[Xu.a(Object(Ya.d)("x",t,e,n))];case"LogSoftmax":return[Yu.a(Object(Ya.d)("x",t,e,n))];case"SparseToDense":return[Ju.a(Object(Ya.d)("sparseIndices",t,e,n),Object(Ya.d)("outputShape",t,e,n),Object(Ya.d)("sparseValues",t,e,n),Object(Ya.d)("defaultValue",t,e,n))];default:throw TypeError(`Node type ${t.op} is not implemented`)}})(t,e,n));case"reduction":return l.tidy(()=>((t,e,n)=>{switch(t.op){case"Max":{const r=Object(Ya.d)("axis",t,e,n),i=Object(Ya.d)("keepDims",t,e,n);return[Zu.a(Object(Ya.d)("x",t,e,n),r,i)]}case"Mean":{const r=Object(Ya.d)("axis",t,e,n),i=Object(Ya.d)("keepDims",t,e,n);return[tc.a(Object(Ya.d)("x",t,e,n),r,i)]}case"Min":{const r=Object(Ya.d)("axis",t,e,n),i=Object(Ya.d)("keepDims",t,e,n);return[ec.a(Object(Ya.d)("x",t,e,n),r,i)]}case"Sum":{const r=Object(Ya.d)("axis",t,e,n),i=Object(Ya.d)("keepDims",t,e,n);return[nc.a(Object(Ya.d)("x",t,e,n),r,i)]}case"All":{const r=Object(Ya.d)("axis",t,e,n),i=Object(Ya.d)("keepDims",t,e,n);return[rc.a(Object(Ya.d)("x",t,e,n),r,i)]}case"Any":{const r=Object(Ya.d)("axis",t,e,n),i=Object(Ya.d)("keepDims",t,e,n);return[ic.a(Object(Ya.d)("x",t,e,n),r,i)]}case"ArgMax":{const r=Object(Ya.d)("axis",t,e,n);return[sc.a(Object(Ya.d)("x",t,e,n),r)]}case"ArgMin":{const r=Object(Ya.d)("axis",t,e,n);return[ac.a(Object(Ya.d)("x",t,e,n),r)]}case"Prod":{const r=Object(Ya.d)("axis",t,e,n),i=Object(Ya.d)("keepDims",t,e,n);return[Xo.a(Object(Ya.d)("x",t,e,n),r,i)]}case"Cumsum":{const r=Object(Ya.d)("axis",t,e,n),i=Object(Ya.d)("exclusive",t,e,n),s=Object(Ya.d)("reverse",t,e,n);return[oc.a(Object(Ya.d)("x",t,e,n),r,i,s)]}default:throw TypeError(`Node type ${t.op} is not implemented`)}})(t,e,n));case"slice_join":return l.tidy(()=>((t,e,n)=>{switch(t.op){case"ConcatV2":case"Concat":{const r=Object(Ya.d)("n",t,e,n),i=Object(Ya.d)("axis",t,e,n);let s=Object(Ya.d)("tensors",t,e,n);return s=s.slice(0,r),[uc.a(s,i)]}case"GatherV2":case"Gather":{const r=Object(Ya.d)("axis",t,e,n),i=Object(Ya.d)("x",t,e,n),s=Object(Ya.d)("indices",t,e,n);return[cc.a(i,Cu.a(s,"int32"),r)]}case"ReverseV2":case"Reverse":{const r=Object(Ya.d)("axis",t,e,n),i=Object(Ya.d)("x",t,e,n);return[lc.a(i,r)]}case"Slice":{const r=Object(Ya.d)("begin",t,e,n),i=Object(Ya.d)("size",t,e,n);return[hc.a(Object(Ya.d)("x",t,e,n),r,i)]}case"StridedSlice":{const r=Object(Ya.d)("begin",t,e,n),i=Object(Ya.d)("end",t,e,n),s=Object(Ya.d)("strides",t,e,n),a=Object(Ya.d)("beginMask",t,e,n),o=Object(Ya.d)("endMask",t,e,n),u=Object(Ya.d)("ellipsisMask",t,e,n),c=Object(Ya.d)("newAxisMask",t,e,n),l=Object(Ya.d)("shrinkAxisMask",t,e,n),h=Object(Ya.d)("x",t,e,n);return[dc.a(h,r,i,s,a,o,u,c,l)]}case"Pack":return Object(l.tidy)(()=>{const r=Object(Ya.d)("axis",t,e,n),i=Object(Ya.d)("tensors",t,e,n),s=i[0].shape,a=pc.a(i[0]).shape,o=i.map(t=>{const e=l.util.arraysEqual(t.shape,s);if(!e&&!l.util.arraysEqual(pc.a(t).shape,a))throw new Error("the input tensors shape does not match");return e?t:fc.a(t,s)});return[mc.a(o,r)]});case"Unpack":{const r=Object(Ya.d)("axis",t,e,n),i=Object(Ya.d)("tensor",t,e,n);return gc.a(i,r)}case"Tile":{const r=Object(Ya.d)("reps",t,e,n);return[bc.a(Object(Ya.d)("x",t,e,n),r)]}case"Split":case"SplitV":{const r=Object(Ya.d)("axis",t,e,n),i=Object(Ya.d)("numOrSizeSplits",t,e,n),s=Object(Ya.d)("x",t,e,n);return yc.a(s,i,r)}case"ScatterNd":{const r=Object(Ya.d)("indices",t,e,n),i=Object(Ya.d)("values",t,e,n),s=Object(Ya.d)("shape",t,e,n);return[vc.a(r,i,s)]}case"GatherNd":{const r=Object(Ya.d)("x",t,e,n),i=Object(Ya.d)("indices",t,e,n);return[wc.a(r,i)]}case"SparseToDense":{const r=Object(Ya.d)("sparseIndices",t,e,n),i=Object(Ya.d)("outputShape",t,e,n),s=Object(Ya.d)("sparseValues",t,e,n),a=Object(Ya.d)("defaultValue",t,e,n);return[Ju.a(r,s,i,s.dtype===a.dtype?a:Cu.a(a,s.dtype))]}default:throw TypeError(`Node type ${t.op} is not implemented`)}})(t,e,n));case"spectral":return l.tidy(()=>((t,e,n)=>{switch(t.op){case"FFT":return[xc.a(Object(Ya.d)("x",t,e,n))];case"IFFT":return[_c.a(Object(Ya.d)("x",t,e,n))];case"RFFT":return[Oc.a(Object(Ya.d)("x",t,e,n))];case"IRFFT":return[Sc.a(Object(Ya.d)("x",t,e,n))];default:throw TypeError(`Node type ${t.op} is not implemented`)}})(t,e,n));case"transformation":return l.tidy(()=>((t,e,n)=>{switch(t.op){case"Cast":return[Cu.a(Object(Ya.d)("x",t,e,n),Object(Ya.d)("dtype",t,e,n))];case"ExpandDims":{const r=Object(Ya.d)("axis",t,e,n);return[kc.a(Object(Ya.d)("x",t,e,n),r)]}case"Squeeze":{const r=Object(Ya.d)("axis",t,e,n);return[pc.a(Object(Ya.d)("x",t,e,n),r)]}case"Reshape":return[fc.a(Object(Ya.d)("x",t,e,n),Object(Ya.d)("shape",t,e,n))];case"MirrorPad":return[Tc.a(Object(Ya.d)("x",t,e,n),Object(Ya.d)("padding",t,e,n),Object(Ya.d)("mode",t,e,n))];case"PadV2":case"Pad":return[Cc.a(Object(Ya.d)("x",t,e,n),Object(Ya.d)("padding",t,e,n),Object(Ya.d)("constantValue",t,e,n))];case"SpaceToBatchND":{const r=Object(Ya.d)("blockShape",t,e,n),i=Object(Ya.d)("paddings",t,e,n);return[Ac.a(Object(Ya.d)("x",t,e,n),r,i)]}case"BatchToSpaceND":{const r=Object(Ya.d)("blockShape",t,e,n),i=Object(Ya.d)("crops",t,e,n);return[Nc.a(Object(Ya.d)("x",t,e,n),r,i)]}case"DepthToSpace":{const r=Object(Ya.d)("blockSize",t,e,n),i=Object(Ya.d)("dataFormat",t,e,n).toUpperCase();return[Ic.a(Object(Ya.d)("x",t,e,n),r,i)]}case"BroadcastTo":return[Ec.a(Object(Ya.d)("x",t,e,n),Object(Ya.d)("shape",t,e,n))];default:throw TypeError(`Node type ${t.op} is not implemented`)}})(t,e,n));case"hash_table":return(async(t,e,n,r)=>{switch(t.op){case"HashTable":case"HashTableV2":{const i=Object(Ya.d)("keyDType",t,e,n),s=Object(Ya.d)("valueDType",t,e,n),a=new Ru(i,s);return r.addHashTable(t.name,a),[a.handle]}case"LookupTableImport":case"LookupTableImportV2":{const i=Object(Ya.d)("tableHandle",t,e,n,r),s=Object(Ya.d)("keys",t,e,n),a=Object(Ya.d)("values",t,e,n),o=r.getHashTableById(i.id);return[await o.import(s,a)]}case"LookupTableFind":case"LookupTableFindV2":{const i=Object(Ya.d)("tableHandle",t,e,n,r),s=Object(Ya.d)("keys",t,e,n),a=Object(Ya.d)("defaultValue",t,e,n),o=r.getHashTableById(i.id);return[await o.find(s,a)]}default:throw TypeError(`Node type ${t.op} is not implemented`)}})(t,e,n,r);case"custom":const i=Object(Za.b)(t.op);if(i&&i.customExecutor)return i.customExecutor(new Ja(t,e,n));throw TypeError(`Custom op ${t.op} is not registered.`);default:throw TypeError(`Unknown op '${t.op}'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()`)}})(t,e,n);return l.util.isPromise(i)?i.then(t=>[].concat(t)):[].concat(i)}class Mc{constructor(t={},e={},n={},r={}){this.weightMap=t,this.tensorArrayMap=e,this.tensorListMap=n,this.functionMap=r,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}newFrame(t,e){return{id:t,frameName:e,iterationId:0}}set currentContext(t){this.contexts!==t&&(this.contexts=t,this.generateCurrentContextIds())}get currentContext(){return this.contexts}get currentContextId(){return this._currentContextIds[0]}get currentContextIds(){return this._currentContextIds}generateCurrentContextIds(){const t=[];for(let e=0;e0===t.id&&0===t.iterationId?"":`${t.frameName}-${t.iterationId}`).join("/"):""}enterFrame(t){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,t)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}exitFrame(){if(!(this.contexts&&this.contexts.length>1))throw new Error("Cannot exit frame, the context is empty");this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift()}nextIteration(){if(!(this.contexts&&this.contexts.length>0))throw new Error("Cannot increase frame iteration, the context is empty");{this.contexts=this.contexts.slice(),this.lastId++;const t=Object.assign({},this.contexts[this.contexts.length-1]);t.iterationId+=1,t.id=this.lastId,this.contexts.splice(-1,1,t),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}}getWeight(t){return this.weightMap[t]}addTensorArray(t){this.tensorArrayMap[t.id]=t}getTensorArray(t){return this.tensorArrayMap[t]}addTensorList(t){this.tensorListMap[t.id]=t}getTensorList(t){return this.tensorListMap[t]}dispose(t){for(const e in this.tensorArrayMap)this.tensorArrayMap[e].clearAndClose(t);for(const e in this.tensorListMap)this.tensorListMap[e].clearAndClose(t)}} /** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Dc(t,e,n,r){const i=new Set,s=[];let a=null,o=null;const u=new Set,c=Object.keys(t).map(t=>Object(Ya.g)(t)[0]);let l=[];null!=r&&(l=r.map(t=>Object(Ya.g)(t.name)[0]));const h=[...e];for(;h.length>0;){const t=h.pop();(zc(t)||Lc(t)||$c(t))&&null==a&&(a=t,o=a.children.map(t=>t.name).filter(t=>i.has(t))),i.add(t.name),null==n[t.name]&&(-1===c.indexOf(t.name)&&-1===l.indexOf(t.name)&&(0!==t.inputs.length?t.inputs.forEach(t=>{u.has(t.name)||(u.add(t.name),h.push(t))}):s.push(t.name)))}return{inputs:t,outputs:e,usedNodes:i,missingInputs:s,dynamicNode:a,syncInputs:o}}const Rc=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],Pc=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"],Fc=["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2"];function zc(t){return Rc.indexOf(t.op)>=0}function Lc(t){return Pc.indexOf(t.op)>=0}function $c(t){return Fc.indexOf(t.op)>=0} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class Bc{constructor(t,e){this.graph=t,this.parent=e,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._functions={},this._functionExecutorMap={},this._outputs=t.outputs,this._inputs=t.inputs,this._initNodes=t.initNodes,this._signature=t.signature,this._functions=t.functions,null!=t.functions&&Object.keys(t.functions).forEach(e=>{this._functionExecutorMap[e]=new Bc(t.functions[e],this)})}get weightIds(){return this.parent?this.parent.weightIds:this._weightIds}get functionExecutorMap(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap}get weightMap(){return this.parent?this.parent.weightMap:this._weightMap}set weightMap(t){const e=Object.keys(t).map(e=>t[e].map(t=>t.id));this._weightIds=[].concat(...e),this._weightMap=t}set resourceManager(t){this._resourceManager=t}get inputs(){return this._inputs.map(t=>({name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}))}get outputs(){return this._outputs.map(t=>({name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}))}get inputNodes(){return this._inputs.map(t=>t.signatureKey||t.name)}get outputNodes(){return this._outputs.map(t=>{const e=t.signatureKey||t.name;return t.defaultOutput?`${e}:${t.defaultOutput}`:e})}get functions(){return Object.keys(this._functions).reduce((t,e)=>(t[e]=this._functions[e].signature,t),{})}getCompilationKey(t,e){const n=t.map(t=>t.name).sort(),r=e.map(t=>t.name).sort();return n.join(this.SEPERATOR)+"--"+r.join(this.SEPERATOR)}compile(t,e){const n=Dc(t,e,this.weightMap,this._initNodes),{missingInputs:r,dynamicNode:i,syncInputs:s}=n;if(null!=i)throw new Error(`This execution contains the node '${i.name}', which has the dynamic op '${i.op}'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs [${s}]`);if(r.length>0){const n=e.map(t=>t.name),i=Object.keys(t);throw new Error(`Cannot compute the outputs [${n}] from the provided inputs [${i}]. Missing the following inputs: [${r}]`)}return function(t,e,n){const{usedNodes:r,inputs:i}=n,s=[],a=Object.keys(i).map(t=>Object(Ya.g)(t)[0]).map(e=>t.nodes[e]),o=t.initNodes;a.forEach(t=>{r.has(t.name)&&s.push(t)}),t.weights.forEach(t=>{r.has(t.name)&&s.push(t)}),null!=o&&o.forEach(t=>{r.has(t.name)&&s.push(t)});const u=new Set,c=[];for(;s.length>0;){const t=s.pop();u.add(t.name),e[t.name]||c.push(t),t.children.forEach(t=>{!u.has(t.name)&&r.has(t.name)&&t.inputs.every(t=>u.has(t.name))&&s.push(t)})}return c}(this.graph,this.weightMap,n)}execute(t,e){t=this.mapInputs(t);const n=Object.keys(t).sort();this.checkInputs(t),this.checkInputShapeAndType(t),e=this.mapOutputs(e),this.checkOutputs(e);const r=n.map(t=>this.graph.nodes[Object(Ya.g)(t)[0]]),i=e.map(t=>Object(Ya.g)(t)[0]);let s=i.map(t=>this.graph.nodes[t]);0===s.length&&(s=this._outputs);const a=this.getCompilationKey(r,s);let o=this.compiledMap.get(a);null==o&&(o=this.compile(t,s),this.compiledMap.set(a,o));const u={},c={};return Object(l.tidy)(()=>{const n=new Mc(this.weightMap,u,c,this.functionExecutorMap),r=Object.assign({},this.weightMap);Object.keys(t).forEach(e=>{const[n,i]=Object(Ya.g)(e),s=[];s[i]=t[e],r[n]=s});const s=this.getFrozenTensorIds(r),a={};for(let t=0;tObject(Ya.e)(t,r,n))})}getFrozenTensorIds(t){const e=[].concat.apply([],Object.keys(t).map(e=>t[e]).map(t=>t.map(t=>t.id)));return new Set(e)}checkTensorForDisposal(t,e,n,r,i,s,a){"control"!==e.category&&-1===s.indexOf(t)&&(n[t].forEach(t=>{null!=t&&(a[t.id]=(a[t.id]||0)+e.children.length)}),e.inputs.forEach(t=>{if("control"!==t.category){const e=Object(Ya.f)(t.name,n,r);null!=e&&e.forEach(t=>{if(t&&!i.has(t.id)){const e=a[t.id];1===e?(t.dispose(),delete a[t.id]):null!=e&&a[t.id]--}})}}))}async executeAsync(t,e){return this._executeAsync(t,e)}async _executeAsync(t,e,n=!1,r={},i={}){n||(t=this.mapInputs(t),this.checkInputs(t),this.checkInputShapeAndType(t),e=this.mapOutputs(e),this.checkOutputs(e));const s=new Mc(this.weightMap,r,i,this.functionExecutorMap),a=await this.executeWithControlFlow(t,s,e,n),o=e.map(t=>Object(Ya.e)(t,a,s)),u=o.map(t=>t.id),c=Object.keys(t).map(e=>t[e].id),l=new Set([...u,...c,...this.weightIds]);return Object.keys(a).forEach(t=>{a[t].forEach(t=>{!t||t.isDisposed||l.has(t.id)||t.dispose()})}),null==this.parent&&s.dispose(l),o}async executeFunctionAsync(t,e,n){const r=t.reduce((t,e,n)=>(t[this.inputs[n].name]=e,t),{});return this._executeAsync(r,this.outputNodes,!0,e,n)}async executeWithControlFlow(t,e,n,r){const i=Object.keys(t),s=i.map(t=>this.graph.nodes[Object(Ya.g)(t)[0]]),a=n.map(t=>Object(Ya.g)(t)[0]);let o=a.map(t=>this.graph.nodes[t]);0===o.length&&(o=this._outputs);const{usedNodes:u,missingInputs:c,dynamicNode:l,syncInputs:h}=Dc(t,o,this.weightMap,this._initNodes),d=[...s,...this.graph.weights,...this._initNodes||[]].map(t=>({node:t,contexts:e.currentContext})),p=Object.assign({},this.weightMap);Object.keys(t).forEach(e=>{const[n,r]=Object(Ya.g)(e),i=[];i[r]=t[e],p[n]=i});const f={},m=this.getFrozenTensorIds(p),g={};for(;d.length>0;){const t=this.processStack(s,d,e,p,g,m,a,f,u);await Promise.all(t)}null!=l||r||console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead.");const b=o.filter(t=>!zc(t)&&!Object(Ya.e)(t.name,p,e)).map(t=>t.name);if(b.length>0){let t="";throw null!=l&&(t=`Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs [${h}]`),new Error(`Cannot compute the outputs [${b}] from the provided inputs [${i}]. Consider providing the following inputs: [${c}]. ${t}`)}return p}processStack(t,e,n,r,i,s,a,o,u){const c=[];for(;e.length>0;){const t=e.pop();n.currentContext=t.contexts;let h="";if("Enter"===t.node.op&&Object(Ya.d)("isConstant",t.node,r,n)&&([h]=Object(Ya.b)(t.node.name,n)),null==r[t.node.name]){const d=jc(t.node,r,n,this._resourceManager);h||([h]=Object(Ya.b)(t.node.name,n));const p=n.currentContext;l.util.isPromise(d)?c.push(d.then(c=>(r[h]=c,n.currentContext=p,this.checkTensorForDisposal(h,t.node,r,n,s,a,o),this.processChildNodes(t.node,e,n,r,i,u),c))):(r[h]=d,this.checkTensorForDisposal(h,t.node,r,n,s,a,o),this.processChildNodes(t.node,e,n,r,i,u))}else this.processChildNodes(t.node,e,n,r,i,u)}return c}processChildNodes(t,e,n,r,i,s){t.children.forEach(t=>{const[a]=Object(Ya.b)(t.name,n);!i[a]&&s.has(t.name)&&("Merge"===t.op?t.inputNames.some(t=>!!Object(Ya.e)(t,r,n))&&(i[a]=!0,e.push({contexts:n.currentContext,node:t})):t.inputNames.every(t=>!!Object(Ya.e)(t,r,n))&&(i[a]=!0,e.push({contexts:n.currentContext,node:t})))})}dispose(){Object.keys(this.weightMap).forEach(t=>this.weightMap[t].forEach(t=>t.dispose()))}checkInputShapeAndType(t){Object.keys(t).forEach(e=>{const n=t[e],[r]=Object(Ya.g)(e),i=this.graph.nodes[r];if(i.attrParams.shape&&i.attrParams.shape.value){const t=i.attrParams.shape.value,e=t.length===n.shape.length&&n.shape.every((e,n)=>-1===t[n]||t[n]===e);l.util.assert(e,()=>`The shape of dict['${i.name}'] provided in model.execute(dict) must be [${t}], but was [${n.shape}]`)}i.attrParams.dtype&&i.attrParams.dtype.value&&l.util.assert(n.dtype===i.attrParams.dtype.value,()=>`The dtype of dict['${i.name}'] provided in model.execute(dict) must be ${i.attrParams.dtype.value}, but was ${n.dtype}`)})}mapInputs(t){const e={};for(const n in t)if(null!=this._signature&&null!=this._signature.inputs&&null!=this._signature.inputs[n]){e[this._signature.inputs[n].name]=t[n]}else e[n]=t[n];return e}checkInputs(t){const e=Object.keys(t).filter(t=>{const[e]=Object(Ya.g)(t);return null==this.graph.nodes[e]});if(e.length>0)throw new Error(`The dict provided in model.execute(dict) has keys: [${e}] that are not part of graph`)}mapOutputs(t){return t.map(t=>{if(null!=this._signature&&null!=this._signature.outputs&&null!=this._signature.outputs[t]){return this._signature.outputs[t].name}return t},{})}checkOutputs(t){t.forEach(t=>{const[e]=Object(Ya.g)(t);if(!this.graph.nodes[e])throw new Error(`The output '${t}' is not found in the graph`)})}}class qc{constructor(t={},e={}){this.hashTableNameToHandle=t,this.hashTableMap=e}addHashTable(t,e){this.hashTableNameToHandle[t]=e.handle,this.hashTableMap[e.id]=e}getHashTableHandleByName(t){return this.hashTableNameToHandle[t]}getHashTableById(t){return this.hashTableMap[t]}dispose(){for(const t in this.hashTableMap)this.hashTableMap[t].clearAndClose(),delete this.hashTableMap[t];for(const t in this.hashTableNameToHandle)this.hashTableNameToHandle[t].dispose(),delete this.hashTableNameToHandle[t]}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class Vc{constructor(t,e={}){this.modelUrl=t,this.loadOptions=e,this.version="n/a",null==e&&(this.loadOptions={}),this.resourceManager=new qc}get modelVersion(){return this.version}get inputNodes(){return this.executor.inputNodes}get outputNodes(){return this.executor.outputNodes}get inputs(){return this.executor.inputs}get outputs(){return this.executor.outputs}get weights(){return this.executor.weightMap}findIOHandler(){const t=this.modelUrl;if(null!=t.load)this.handler=t;else if(null!=this.loadOptions.requestInit)this.handler=l.io.browserHTTPRequest(t,this.loadOptions);else{const e=l.io.getLoadHandlers(t,this.loadOptions);if(0===e.length)e.push(l.io.browserHTTPRequest(t,this.loadOptions));else if(e.length>1)throw new Error(`Found more than one (${e.length}) load handlers for URL '${[t]}'`);this.handler=e[0]}}async load(){if(this.findIOHandler(),null==this.handler.load)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");const t=await this.handler.load();return this.loadSync(t)}loadSync(t){this.artifacts=t;const e=this.artifacts.modelTopology;let n={};null!=this.artifacts.userDefinedMetadata&&(n=this.artifacts.userDefinedMetadata.signature),this.version=`${e.versions.producer}.${e.versions.minConsumer}`;const r=l.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new Bc(Xa.a.Instance.transformGraph(e,n)),this.executor.weightMap=this.convertTensorMapToTensorsMap(r),this.executor.resourceManager=this.resourceManager,null!=t.modelInitializer){const e=Xa.a.Instance.transformGraph(t.modelInitializer);this.initializer=new Bc(e),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializer.executeAsync({},[])}return!0}async save(t,e){if("string"==typeof t){const e=l.io.getSaveHandlers(t);if(0===e.length)throw new Error(`Cannot find any save handlers for URL '${t}'`);if(e.length>1)throw new Error(`Found more than one (${e.length}) save handlers for URL '${t}'`);t=e[0]}if(null==t.save)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return t.save(this.artifacts)}predict(t,e){return this.execute(t,this.outputNodes)}normalizeInputs(t){if(!(t instanceof l.Tensor||Array.isArray(t)))return t;if((t=Array.isArray(t)?t:[t]).length!==this.inputNodes.length)throw new Error(`Input tensor count mismatch,the graph model has ${this.inputNodes.length} placeholders, while there are ${t.length} input tensors.`);return this.inputNodes.reduce((e,n,r)=>(e[n]=t[r],e),{})}normalizeOutputs(t){return t=t||this.outputNodes,Array.isArray(t)?t:[t]}execute(t,e){t=this.normalizeInputs(t),e=this.normalizeOutputs(e);const n=this.executor.execute(t,e);return n.length>1?n:n[0]}async executeAsync(t,e){t=this.normalizeInputs(t),e=this.normalizeOutputs(e);const n=await this.executor.executeAsync(t,e);return n.length>1?n:n[0]}convertTensorMapToTensorsMap(t){return Object.keys(t).reduce((e,n)=>(e[n]=[t[n]],e),{})}dispose(){this.executor.dispose(),this.initializer&&this.initializer.dispose(),this.resourceManager.dispose()}}async function Uc(t,e={}){if(null==t)throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");null==e&&(e={}),e.fromTFHub&&null==t.load&&(t.endsWith("/")||(t+="/"),t+="model.json?tfjs-format=file");const n=new Vc(t,e);return await n.load(),n} /** @license See the LICENSE file. */const Wc="2.7.0"; /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */var Gc=n(89),Hc=n(43),Kc=n(75); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * * ============================================================================= */ class Qc{constructor(){this.size=null}batch(t,e=!0){const n=this;let r;return l.util.assert(t>0,()=>"batchSize needs to be positive, but it is\n "+t),r=this.size===1/0||null==this.size?this.size:e?Math.ceil(this.size/t):Math.floor(this.size/t),Xc(async()=>(await n.iterator()).columnMajorBatch(t,e,Zc),r)}concatenate(t){const e=this;let n;return n=this.size===1/0||t.size===1/0?1/0:null!=this.size&&null!=t.size?this.size+t.size:null,Xc(async()=>(await e.iterator()).concatenate(await t.iterator()),n)}filter(t){const e=this;let n;return n=this.size===1/0?1/0:null,Xc(async()=>(await e.iterator()).filter(e=>l.tidy(()=>t(e))),n)}async forEachAsync(t){return(await this.iterator()).forEachAsync(t)}map(t){const e=this;return Xc(async()=>(await e.iterator()).map(e=>l.tidy(()=>t(e))),this.size)}mapAsync(t){const e=this;return Xc(async()=>(await e.iterator()).mapAsync(t),this.size)}prefetch(t){if(null==t)throw new RangeError("`Dataset.prefetch()` requires bufferSize to be specified.");const e=this;return Xc(async()=>(await e.iterator()).prefetch(t),this.size)}repeat(t){const e=this;let n;return n=null!=this.size&&t>0?this.size*t:0===t?0:null!=this.size&&(void 0===t||t<0)?1/0:null,Xc(async()=>{const n=Object(Hc.e)(async()=>({value:await e.iterator(),done:!1}));return Object(Hc.d)(n.take(t))},n)}skip(t){const e=this;let n;return n=null!=this.size&&t>=0&&this.size>=t?this.size-t:null!=this.size&&(this.size(await e.iterator()).skip(t),n)}shuffle(t,e,n=!0){if(null==t||t<0)throw null==this.size?new RangeError("`Dataset.shuffle()` requires bufferSize to be specified."):new RangeError(`\`Dataset.shuffle()\` requires bufferSize to be specified. If your data fits in main memory (for regular JS objects), and/or GPU memory (for \`tf.Tensor\`s), consider setting bufferSize to the dataset size (${this.size} elements)`);const r=this,i=Gc.alea(e||l.util.now().toString());return Xc(async()=>{let e=i.int32();return n&&(e+=i.int32()),(await r.iterator()).shuffle(t,e.toString())},this.size)}take(t){const e=this;let n;return n=null!=this.size&&this.size>t?t:null!=this.size&&this.size<=t?this.size:null,Xc(async()=>(await e.iterator()).take(t),n)}async toArray(){if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArray()}async toArrayForTest(){if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArrayForTest()}}function Xc(t,e=null){return new class extends Qc{constructor(){super(...arguments),this.size=e}async iterator(){return t()}}}function Yc(t){return Xc(async()=>Object(Hc.f)(t),t.length)}function Jc(t){if(!Object(Kc.e)(t))throw new Error("The argument to zip() must be an object or array.");let e;if(Array.isArray(t))for(let n=0;n{const e=await Object(Kc.c)(t,t=>{if(t instanceof Qc)return{value:t.iterator(),recurse:!1};if(Object(Kc.e)(t))return{value:null,recurse:!0};throw new Error("Leaves of the structure passed to zip() must be Datasets, not primitives.")});return Object(Hc.g)(e,Hc.c.SHORTEST)},e)}function Zc(t){if(null===t)return null;const e=t[0];if(Object(Kc.a)(e)){return{value:function(t){if(0===t.length)throw new Error("Can't make a batch of zero elements.");return t[0]instanceof l.Tensor?l.stack(t):l.tensor(t)} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * * ============================================================================= */(t),recurse:!1}}return{value:null,recurse:!0}}Qc.MAX_BUFFER_SIZE=1e4;class tl extends Qc{constructor(t){super(),this.input=t}async iterator(){return(await this.input.iterator()).decodeUTF8().split("\n").map(t=>(t.endsWith("\r")&&(t=t.slice(0,-1)),t))}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * * ============================================================================= */const el=Symbol("out"),nl=Symbol("field"),rl=Symbol("quote"),il=Symbol("quoteafterquote"),sl=Symbol("quoteinquote");class al extends Qc{constructor(t,e){super(),this.input=t,this.hasHeader=!0,this.fullColumnNames=null,this.columnNamesValidated=!1,this.columnConfigs=null,this.configuredColumnsOnly=!1,this.delimiter=",",this.delimWhitespace=!1,this.base=new tl(t),e||(e={}),this.hasHeader=!1!==e.hasHeader,this.fullColumnNames=e.columnNames,this.columnConfigs=e.columnConfigs,this.configuredColumnsOnly=e.configuredColumnsOnly,e.delimWhitespace?(l.util.assert(null==e.delimiter,()=>"Delimiter should not be provided when delimWhitespace is true."),this.delimWhitespace=!0,this.delimiter=" "):this.delimiter=e.delimiter?e.delimiter:","}async columnNames(){return this.columnNamesValidated||await this.setColumnNames(),this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames}async setColumnNames(){const t=await this.maybeReadHeaderLine();if(!this.fullColumnNames&&!t)throw new Error("Column names must be provided if there is no header line.");this.fullColumnNames&&t&&l.util.assert(t.length===this.fullColumnNames.length,()=>"The length of provided columnNames ("+this.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+t.length.toString()+")."),this.fullColumnNames||(this.fullColumnNames=t);const e=this.fullColumnNames.reduce((t,e)=>(t[e]=t[e]+1||1,t),{}),n=Object.keys(e).filter(t=>e[t]>1);if(l.util.assert(0===n.length,()=>"Duplicate column names found: "+n.toString()),this.columnConfigs)for(const t of Object.keys(this.columnConfigs)){if(-1===this.fullColumnNames.indexOf(t))throw new Error('The key "'+t+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").")}this.columnNamesValidated=!0}async maybeReadHeaderLine(){if(this.hasHeader){const t=await this.base.iterator(),e=await t.next();if(e.done)throw new Error("No data was found for CSV parsing.");const n=e.value;return this.parseRow(n,!1)}return null}async iterator(){this.columnNamesValidated||await this.setColumnNames();let t=await this.base.iterator();return this.hasHeader&&(t=t.skip(1)),t.map(t=>this.makeDataElement(t))}makeDataElement(t){const e=this.parseRow(t),n={},r={};for(let i=0;i14||!Number.isInteger(e))throw new Error("Invalid fftSize: it must be a power of 2 between 2 to 4 and 2 to 14, but got "+this.fftSize);if(this.numFrames=t.numFramesPerSpectrogram||43,this.sampleRateHz=t.sampleRateHz,this.columnTruncateLength=t.columnTruncateLength||this.fftSize,this.audioTrackConstraints=t.audioTrackConstraints,this.smoothingTimeConstant=t.smoothingTimeConstant||0,this.includeSpectrogram=!1!==t.includeSpectrogram,this.includeWaveform=!0===t.includeWaveform,!this.includeSpectrogram&&!this.includeWaveform)throw new Error("Both includeSpectrogram and includeWaveform are false. At least one type of data should be returned.")}summary(){return"microphone"}static async create(t={}){if(Object(l.env)().get("IS_NODE"))throw new Error("microphone API is only supported in browser environment.");const e=new ol(t);return await e.start(),e}async start(){try{this.stream=await navigator.mediaDevices.getUserMedia({audio:null==this.audioTrackConstraints||this.audioTrackConstraints,video:!1})}catch(t){throw new Error("Error thrown while initializing video stream: "+t.message)}if(!this.stream)throw new Error("Could not obtain audio from microphone.");const t=window.AudioContext||window.webkitAudioContext;if(this.audioContext=new t,this.sampleRateHz){if(this.audioContext.sampleRate!==this.sampleRateHz)throw new Error(`Mismatch in sampling rate: Expected: ${this.sampleRateHz}; Actual: `+this.audioContext.sampleRate)}else this.sampleRateHz=this.audioContext.sampleRate;const e=this.audioContext.createMediaStreamSource(this.stream);this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=2*this.fftSize,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,e.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize)}async next(){if(this.isClosed)return{value:null,done:!0};let t,e;const n=await this.getAudioData();if(this.includeSpectrogram){const e=this.flattenQueue(n.freqDataQueue);t=this.getTensorFromAudioDataArray(e,[this.numFrames,this.columnTruncateLength,1])}if(this.includeWaveform){const t=this.flattenQueue(n.timeDataQueue);e=this.getTensorFromAudioDataArray(t,[this.numFrames*this.fftSize,1])}return{value:{spectrogram:t,waveform:e},done:!1}}async capture(){return(await this.next()).value}async getAudioData(){const t=[],e=[];let n=0;return new Promise(r=>{const i=setInterval(()=>{this.includeSpectrogram&&(this.analyser.getFloatFrequencyData(this.freqData),this.freqData[0]===-1/0&&r({freqDataQueue:t,timeDataQueue:e}),t.push(this.freqData.slice(0,this.columnTruncateLength))),this.includeWaveform&&(this.analyser.getFloatTimeDomainData(this.timeData),e.push(this.timeData.slice())),++n===this.numFrames&&(clearInterval(i),r({freqDataQueue:t,timeDataQueue:e}))},this.fftSize/this.sampleRateHz*1e3)})}stop(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),null!=this.stream&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())}toArray(){throw new Error("Can not convert infinite audio stream to array.")}getSampleRate(){return this.sampleRateHz}flattenQueue(t){const e=t[0].length,n=new Float32Array(t.length*e);return t.forEach((t,r)=>n.set(t,r*e)),n}getTensorFromAudioDataArray(t,e){const n=new Float32Array(l.util.sizeFromShape(e));return n.set(t,n.length-t.length),Object(l.tensor)(n,e)}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * * ============================================================================= */class ul extends Hc.a{constructor(t,e){if(super(),this.webcamVideoElement=t,this.webcamConfig=e,this.isClosed=!0,this.resize=!1,this.needToResize())if(this.resize=!0,this.cropSize=[this.webcamConfig.resizeHeight,this.webcamConfig.resizeWidth],this.cropBoxInd=Object(l.tensor1d)([0],"int32"),this.webcamConfig.centerCrop){const t=1*this.webcamConfig.resizeWidth/this.webcamVideoElement.width,e=1*this.webcamConfig.resizeHeight/this.webcamVideoElement.height,n=(1-t)/2,r=(1-e)/2,i=n+t,s=e+r;this.cropBox=Object(l.tensor2d)([r,n,s,i],[1,4])}else this.cropBox=Object(l.tensor2d)([0,0,1,1],[1,4])}summary(){return"webcam"}static async create(t,e={}){if(Object(l.env)().get("IS_NODE"))throw new Error("tf.data.webcam is only supported in browser environment.");if(!t){if(t=document.createElement("video"),!e.resizeWidth||!e.resizeHeight)throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");t.width=e.resizeWidth,t.height=e.resizeHeight}const n=new ul(t,e);return await n.start(),n}async start(){this.webcamConfig.facingMode&&l.util.assert("user"===this.webcamConfig.facingMode||"environment"===this.webcamConfig.facingMode,()=>`Invalid webcam facing mode: ${this.webcamConfig.facingMode}. Please provide 'user' or 'environment'`);try{this.stream=await navigator.mediaDevices.getUserMedia({video:{deviceId:this.webcamConfig.deviceId,facingMode:this.webcamConfig.facingMode?this.webcamConfig.facingMode:"user",width:this.webcamVideoElement.width,height:this.webcamVideoElement.height}})}catch(t){throw t.message="Error thrown while initializing video stream: "+t.message,t}if(!this.stream)throw new Error("Could not obtain video from webcam.");try{this.webcamVideoElement.srcObject=this.stream}catch(t){console.log(t),this.webcamVideoElement.src=window.URL.createObjectURL(this.stream)}return this.webcamVideoElement.play(),this.isClosed=!1,new Promise(t=>{this.webcamVideoElement.onloadedmetadata=()=>{t()}})}async next(){if(this.isClosed)return{value:null,done:!0};let t;try{t=l.browser.fromPixels(this.webcamVideoElement)}catch(t){throw new Error("Error thrown converting video to pixels: "+JSON.stringify(t))}if(!this.resize)return{value:t,done:!1};try{return{value:this.cropAndResizeFrame(t),done:!1}}catch(t){throw new Error("Error thrown cropping the video: "+t.message)}finally{t.dispose()}}needToResize(){return!(!this.webcamConfig.resizeWidth||!this.webcamConfig.resizeHeight||this.webcamVideoElement.width===this.webcamConfig.resizeWidth&&this.webcamVideoElement.height===this.webcamConfig.resizeHeight)}cropAndResizeFrame(t){return Object(l.tidy)(()=>{const e=t.toFloat().expandDims(0);let n;n=l.image.cropAndResize(e,this.cropBox,this.cropBoxInd,this.cropSize,"bilinear");const r=n.shape;return n.reshape(r.slice(1))})}async capture(){return(await this.next()).value}stop(){this.stream.getTracks().forEach(t=>t.stop());try{this.webcamVideoElement.srcObject=null}catch(t){console.log(t),this.webcamVideoElement.src=null}this.isClosed=!0}toArray(){throw new Error("Can not convert infinite video stream to array.")}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * * ============================================================================= */class cl{}var ll=n(289); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * * ============================================================================= */class hl extends ll.a{constructor(t,e={}){super(),this.file=t,this.options=e,l.util.assert(t instanceof Uint8Array||!!Object(l.env)().get("IS_BROWSER")&&(t instanceof File||t instanceof Blob),()=>"FileChunkIterator only supports File, Blob and Uint8Array right now."),this.offset=e.offset||0,this.chunkSize=e.chunkSize||1048576}summary(){return"FileChunks "+this.file}async next(){if(this.offset>=(this.file instanceof Uint8Array?this.file.byteLength:this.file.size))return{value:null,done:!0};const t=new Promise((t,e)=>{const n=this.offset+this.chunkSize;if(this.file instanceof Uint8Array)t(new Uint8Array(this.file.slice(this.offset,n)));else{const r=new FileReader;r.onload=n=>{let i=r.result;if(i instanceof ArrayBuffer&&(i=new Uint8Array(i)),!(i instanceof Uint8Array))return e(new TypeError("FileReader returned unknown type."));t(i)},r.onabort=t=>e(new Error("Aborted")),r.onerror=t=>e(new Error(t.type));const i=this.file.slice(this.offset,n);r.readAsArrayBuffer(i)}this.offset=n});return{value:await t,done:!1}}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * * ============================================================================= */const dl=t=>({method:t.method,headers:t.headers,body:t.body,mode:t.mode,credentials:t.credentials,cache:t.cache,redirect:t.redirect,referrer:t.referrer,integrity:t.integrity}); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * * ============================================================================= */function pl(t){return"string"==typeof t&&"file://"===t.substr(0,7)} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * * ============================================================================= */class fl extends cl{constructor(t,e={}){super(),this.input=t,this.options=e}async iterator(){if(pl(this.input)&&Object(l.env)().get("IS_NODE")){const t=n(312);this.input=t.readFileSync(this.input.substr(7))}return new hl(this.input,this.options)}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * * ============================================================================= */class ml extends cl{constructor(t,e={}){super(),this.url=t,this.fileOptions=e}async iterator(){return pl(this.url)?new fl(this.url,this.fileOptions).iterator():async function(t,e={}){let n,r;"string"==typeof t?n=t:(n=t.url,r=dl(t));const i=await l.util.fetch(n,r);if(i.ok){const t=new Uint8Array(await i.arrayBuffer());return new hl(t,e)}throw new Error(i.statusText)}(this.url,this.fileOptions)}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * * ============================================================================= */function gl(t,e={}){return new al(new ml(t),e)}function bl(t){const e=Object(Hc.e)(t);return Xc(async()=>e)}function yl(t){return Xc(async()=>{const e=await t();return Object(Hc.e)(()=>e.next())})}async function vl(t,e){return ul.create(t,e)}async function wl(t){return ol.create(t)} /** @license See the LICENSE file. */const xl="2.7.0"; /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */var _l=n(11); /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Ol=l.kernel_impls.nonMaxSuppressionV3Impl,Sl=l.kernel_impls.split,kl=l.kernel_impls.tile,Tl=l.kernel_impls.topkImpl,Cl=l.kernel_impls.whereImpl;class Al extends l.KernelBackend{constructor(){super(),this.blockSize=48,this.firstUse=!0,this.data=new l.DataStorage(this,Object(l.engine)())}write(t,e,n){this.firstUse&&(this.firstUse=!1,Object(l.env)().get("IS_NODE")&&l.backend_util.warn("\n============================\nHi there 👋. Looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, which binds to TensorFlow C++, by running npm i @tensorflow/tfjs-node, or npm i @tensorflow/tfjs-node-gpu if you have CUDA. Then call require('@tensorflow/tfjs-node'); (-gpu suffix for CUDA) at the start of your program. Visit https://github.com/tensorflow/tfjs-node for more details.\n============================"));const r={};return this.data.set(r,{values:t,dtype:n,refCount:1}),r}makeTensorInfo(t,e,n){let r;if("string"===e&&null!=n&&n.length>0&&l.util.isString(n[0])){const i=n.map(t=>l.util.encodeString(t));r=this.write(i,t,e)}else r=this.write(n,t,e);return{dataId:r,shape:t,dtype:e}}incRef(t){this.data.get(t).refCount++}decRef(t){if(this.data.has(t)){this.data.get(t).refCount--}}move(t,e,n,r){this.data.set(t,{values:e,dtype:r,refCount:1})}numDataIds(){return this.data.numDataIds()}async read(t){return this.readSync(t)}readSync(t){const{dtype:e,complexTensorInfos:n}=this.data.get(t);if("complex64"===e){const t=this.readSync(n.real.dataId),e=this.readSync(n.imag.dataId);return l.backend_util.mergeRealAndImagArrays(t,e)}return this.data.get(t).values}bufferSync(t){const e=this.readSync(t.dataId);let n=e;if("string"===t.dtype)try{n=e.map(t=>l.util.decodeString(t))}catch(t){throw new Error("Failed to decode encoded string bytes into utf-8")}return l.buffer(t.shape,t.dtype,n)}makeOutput(t,e,n){const r=this.write(t,e,n);return Object(l.engine)().makeTensorFromDataId(r,e,n,this)}disposeData(t){if(this.data.has(t)){const{complexTensorInfos:e}=this.data.get(t);null!=e&&(this.disposeData(e.real.dataId),this.disposeData(e.imag.dataId)),this.data.delete(t)}}disposeIntermediateTensorInfo(t){const e=t.dataId;if(this.data.has(e)){const t=this.data.get(e);t.refCount--,t.refCount<1&&this.disposeData(e)}}async time(t){const e=l.util.now();t();return{kernelMs:l.util.now()-e}}memory(){return{unreliable:!0,reasons:["The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less."]}}stridedSlice(t,e,n,r){Object(_l.a)(t,"stridedSlice");const i=l.slice_util.computeOutShape(e,n,r);if(i.some(t=>0===t))return l.tensor([],i);const s=l.buffer(i,t.dtype),a=this.bufferSync(t);for(let t=0;ta[e]=t.shape[e]-1-a[e]),n.set(r.get(...a),...s)}return n.toTensor()}neg(t){return Object(_l.a)(t,"neg"),l.mul(l.scalar(-1),t)}addN(t){Object(_l.a)(t,"addN");const e=t.map(t=>this.readSync(t.dataId)),n=l.buffer(t[0].shape,t[0].dtype),r=n.values;for(let n=0;nMath.pow(t,e))}floorDiv(t,e){Object(_l.a)([t,e],"floorDiv");return this.broadcastedBinaryOp(t,e,"int32",(t,e)=>Math.floor(t/e))}sum(t,e){Object(_l.a)(t,"sum"),l.backend_util.assertAxesAreInnerMostDims("sum",e,t.rank);const[n,r]=l.backend_util.computeOutAndReduceShapes(t.shape,e),i=Object(l.upcastType)(t.dtype,"int32"),s=l.zeros(n,i),a=l.util.sizeFromShape(r),o=this.readSync(s.dataId),u=this.readSync(t.dataId);for(let t=0;tn&&(n=i,r=t)}o[t]=r}return s}cumsum(t,e,n,r){if(Object(_l.a)(t,"cumsum"),e!==t.rank-1)throw new Error(`backend.cumsum in CPU expects an inner-most axis=${t.rank-1} but got axis=`+e);const i=Object(l.upcastType)(t.dtype,"int32"),s=l.zeros(t.shape,i),a=this.readSync(s.dataId),o=this.readSync(t.dataId),u=t.shape[t.rank-1],c=r?(t,e)=>t+u-e-1:(t,e)=>t+e;for(let t=0;tt===e?1:0)}notEqual(t,e){return Object(_l.a)([t,e],"notEqual"),this.broadcastedBinaryOp(t,e,"bool",(t,e)=>t!==e?1:0)}less(t,e){return Object(_l.a)([t,e],"less"),this.broadcastedBinaryOp(t,e,"bool",(t,e)=>tt<=e?1:0)}greater(t,e){return Object(_l.a)([t,e],"greater"),this.broadcastedBinaryOp(t,e,"bool",(t,e)=>t>e?1:0)}greaterEqual(t,e){return Object(_l.a)([t,e],"greaterEqual"),this.broadcastedBinaryOp(t,e,"bool",(t,e)=>t>=e?1:0)}logicalAnd(t,e){return Object(_l.a)([t,e],"logicalAnd"),this.broadcastedBinaryOp(t,e,"bool",(t,e)=>t&&e)}logicalOr(t,e){return Object(_l.a)([t,e],"logicalOr"),this.broadcastedBinaryOp(t,e,"bool",(t,e)=>t||e)}select(t,e,n){Object(_l.a)([t,e,n],"select");const r=this.readSync(t.dataId),i=this.readSync(e.dataId),s=this.readSync(n.dataId),a=l.zeros(e.shape,Object(l.upcastType)(e.dtype,n.dtype)),o=this.readSync(a.dataId);let u=0;const c=0===t.rank||t.rank>1||1===e.rank?1:l.util.sizeFromShape(e.shape.slice(1));for(let t=0;tMath.min(t,e))}mod(t,e){return Object(_l.a)([t,e],"mod"),this.broadcastedBinaryOp(t,e,t.dtype,(t,e)=>{const n=t%e;return t<0&&e<0||t>=0&&e>=0?n:(n+e)%e})}maximum(t,e){return Object(_l.a)([t,e],"maximum"),this.broadcastedBinaryOp(t,e,t.dtype,(t,e)=>Math.max(t,e))}all(t,e){Object(_l.a)(t,"all"),l.backend_util.assertAxesAreInnerMostDims("all",e,t.rank);const[n,r]=l.backend_util.computeOutAndReduceShapes(t.shape,e),i=l.zeros(n,t.dtype),s=l.util.sizeFromShape(r),a=this.readSync(i.dataId),o=this.readSync(t.dataId);for(let t=0;t{const n=t-e;return n*n})}eluDer(t,e){Object(_l.a)([t,e],"eluDer");const n=new Float32Array(e.size),r=this.readSync(e.dataId),i=this.readSync(t.dataId);for(let t=0;t=1?i[t]:i[t]*(e+1)}return this.makeOutput(n,e.shape,"float32")}atan2(t,e){return Object(_l.a)([t,e],"atan2"),this.broadcastedBinaryOp(t,e,t.dtype,(t,e)=>Math.atan2(t,e))}tile(t,e){return Object(_l.a)(t,"tile"),kl(this.bufferSync(t),e)}gather(t,e,n){Object(_l.a)([t,e],"gather");const r=t.shape.slice(),i=this.readSync(e.dataId);r[n]=i.length;const s=l.buffer(r,t.dtype),a=this.bufferSync(t);for(let t=0;tt*e),i=l.backend_util.getReshaped(t.shape,e,r),s=l.backend_util.getPermuted(i.length,e.length),a=l.backend_util.getReshapedPermuted(t.shape,e,r),o=l.backend_util.getSliceBeginCoords(n,e.length),u=l.backend_util.getSliceSize(a,n,e.length);return l.transpose(t.reshape(i),s).reshape(a).slice(o,u)}pool3d(t,e,n){Object(_l.a)(t,"pool3d");const r=e.strideDepth,i=e.strideHeight,s=e.strideWidth,a=e.dilationDepth,o=e.dilationHeight,u=e.dilationWidth,c=e.effectiveFilterDepth,h=e.effectiveFilterHeight,d=e.effectiveFilterWidth,p=e.padInfo.front,f=e.padInfo.top,m=e.padInfo.left,g="max"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,b=this.readSync(t.dataId),y=l.buffer(e.outShape,t.dtype),v=y.values,w=e.outShape[1]*e.outShape[2]*e.outShape[3]*e.outShape[4],x=e.outShape[2]*e.outShape[3]*e.outShape[4],_=e.outShape[3]*e.outShape[4],O=e.outShape[4];for(let l=0;lx?x=r:"avg"===n&&(_+=r,k++),isNaN(x))break}if(isNaN(x))break}if(isNaN(x))break}v[f+l]="avg"===n?_/k:x}}}}return y.toTensor()}avgPool3d(t,e){return Object(_l.a)(t,"avgPool3d"),this.pool3d(t,e,"avg").toFloat()}avgPool3dBackprop(t,e,n){Object(_l.a)([t,e],"avgPool3dBackprop");const r=n.strideDepth,i=n.strideHeight,s=n.strideWidth,a=n.filterDepth,o=n.filterHeight,u=n.filterWidth,c=n.dilationDepth,h=n.dilationHeight,d=n.dilationWidth,p=n.effectiveFilterDepth,f=n.effectiveFilterHeight,m=n.effectiveFilterWidth,g=p-1-n.padInfo.front,b=m-1-n.padInfo.left,y=f-1-n.padInfo.top,v=l.buffer(e.shape,"float32"),w=1/(a*o*u),x=this.bufferSync(t);for(let t=0;t=n.outDepth||Math.floor(o)!==o))for(let r=0;r=n.outHeight||Math.floor(a)!==a))for(let r=0;r=n.outWidth||Math.floor(i)!==i)continue;S+=x.get(t,o,a,i,e)}}}v.set(S*w,t,a,o,u,e)}return v.toTensor()}maxPool3d(t,e){return Object(_l.a)(t,"maxPool3d"),this.pool3d(t,e,"max").toFloat()}maxPool3dPositions(t,e){const n=l.buffer(e.outShape,"int32"),r=e.strideDepth,i=e.strideHeight,s=e.strideWidth,a=e.dilationDepth,o=e.dilationHeight,u=e.dilationWidth,c=e.effectiveFilterDepth,h=e.effectiveFilterHeight,d=e.effectiveFilterWidth,p=e.padInfo.front,f=e.padInfo.top,m=e.padInfo.left,g=this.bufferSync(t);for(let t=0;t=S&&(S=o,k=n*h*d+i*h+a)}}}n.set(k,t,b,r,i,l)}}}return n.toTensor()}maxPool3dBackprop(t,e,n,r){Object(_l.a)([e,n],"maxPool3dBackprop");const i=this.maxPool3dPositions(e,r),s=r.strideDepth,a=r.strideHeight,o=r.strideWidth,u=r.dilationDepth,c=r.dilationHeight,h=r.dilationWidth,d=r.effectiveFilterDepth,p=r.effectiveFilterHeight,f=r.effectiveFilterWidth,m=d-1-r.padInfo.front,g=f-1-r.padInfo.left,b=p-1-r.padInfo.top,y=l.buffer(e.shape,"float32"),v=this.bufferSync(i),w=this.bufferSync(t);for(let t=0;t=r.outDepth||Math.floor(i)!==i))for(let s=0;s=r.outHeight||Math.floor(u)!==u))for(let a=0;a=r.outWidth||Math.floor(c)!==c)continue;const l=d*p*f-1-v.get(t,i,u,c,e)===n*p*f+s*f+a?1:0;if(0===l)continue;S+=w.get(t,i,u,c,e)*l}}}y.set(S,t,n,i,l,e)}return y.toTensor()}resizeBilinear(t,e,n,r){Object(_l.a)(t,"resizeBilinear");const[i,s,a,o]=t.shape,u=this.readSync(t.dataId),c=new Float32Array(l.util.sizeFromShape([i,e,n,o])),h=[r&&e>1?s-1:s,r&&n>1?a-1:a],d=[r&&e>1?e-1:e,r&&n>1?n-1:n];let p=0;const f=h[0]/d[0],m=h[1]/d[1];for(let r=0;r1?i-1:i,n&&u>1?s-1:s],d=[n&&o>1?o-1:o,n&&u>1?u-1:u],p=h[0]/d[0],f=h[1]/d[1],m=this.readSync(t.dataId);let g=0;for(let t=0;t1?s-1:s,r&&n>1?a-1:a],d=[r&&e>1?e-1:e,r&&n>1?n-1:n],p=h[0]/d[0],f=h[1]/d[1];let m=0;for(let l=0;l1?i-1:i,n&&u>1?s-1:s],p=[n&&o>1?o-1:o,n&&u>1?u-1:u],f=d[0]/p[0],m=d[1]/p[1],g=1/f,b=1/m,y=2*Math.ceil(g)+2,v=2*Math.ceil(b)+2;for(let l=0;l=o)continue;const g=r+d*t.strides[1],b=d*f;if(l===Math.min(i-1,n?Math.round(b):Math.floor(b)))for(let r=0;r=u)continue;const o=g+i*t.strides[2],c=i*m;p===Math.min(s-1,n?Math.round(c):Math.floor(c))&&(a+=h[o+e])}}c[g+e]=a}}}}return l.tensor4d(c,e.shape,e.dtype)}localResponseNormalization4D(t,e,n,r,i){Object(_l.a)(t,"localResponseNormalization4D");const s=t.shape[3],a=s-1,o=this.readSync(t.dataId),u=t.size,c=new Float32Array(u);function h(t){const n=t%s;let r=t-n+Math.max(0,n-e);const i=t-n+Math.min(n+e,a);let u=0;for(;r<=i;r++){const t=o[r];u+=t*t}return u}for(let t=0;t=0&&s[r]"Only NHWC dataFormat supported on CPU for depthToSpace. Got "+n),l.util.assert(e>1,()=>"blockSize should be > 1 for depthToSpace, but was: "+e);const r=t.shape[0],i=t.shape[1],s=t.shape[2],a=t.shape[3],o=i*e,u=s*e,c=a/(e*e),h=this.readSync(t.dataId),d=new Float32Array(r*o*u*c);let p=0;for(let t=0;tp[t]=0);const f=n.locToIndex(p),m=d.slice(-e.rank);c.forEach(t=>m[t]=0);const g=i.locToIndex(m);h[l]=r(a[f],o[g])}}return s.toTensor()}split(t,e,n){return Sl(t,e,n)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}cropAndResize(t,e,n,r,i,s){const[a,o,u,c]=t.shape,h=e.shape[0],[d,p]=r,f=l.buffer([h,d,p,c],"float32"),m=this.readSync(e.dataId),g=this.readSync(n.dataId),b=this.readSync(t.dataId),y=t.strides,v=f.strides;for(let t=0;t=a)continue;const x=d>1?(l-n)*(o-1)/(d-1):0,_=p>1?(h-r)*(u-1)/(p-1):0;for(let e=0;e1?n*(o-1)+e*x:.5*(n+l)*(o-1);if(a<0||a>o-1)for(let n=0;n1?r*(u-1)+a*_:.5*(r+h)*(u-1);if(l<0||l>u-1){for(let n=0;n1?r*(u-1)+n*_:.5*(r+h)*(u-1);if(i<0||i>u-1){for(let r=0;r=t.size/a)throw new Error(`Invalid indices: ${n} does not index into ${t.shape}`);for(let t=0;t=r/i)throw new Error(`Invalid indices: ${s} does not index into ${n}`);for(let n=0;nnew Al,1);var Nl=n(17); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Il=Object(Nl.a)(l.Elu,t=>t>=0?t:Math.exp(t)-1),El={kernelName:l.Elu,backendName:"cpu",kernelFunc:Il};var jl=n(65),Ml=n(48); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const Dl=Object(Ml.a)((t,e)=>t<0?e*t:t);function Rl(t){const{inputs:e,backend:n}=t,{x:r,alpha:i}=e;Object(_l.a)([r,i],"prelu");const s=n.data.get(r.dataId).values,a=n.data.get(i.dataId).values,[o,u]=Dl(r.shape,i.shape,s,a,r.dtype);return n.makeTensorInfo(u,r.dtype,o)}const Pl={kernelName:l.Prelu,backendName:"cpu",kernelFunc:Rl},Fl=Object(Nl.a)(l.Relu,t=>Math.max(0,t)),zl={kernelName:l.Relu,backendName:"cpu",kernelFunc:Fl},Ll=Object(Nl.a)(l.Relu6,t=>Math.min(Math.max(0,t),6)),$l={kernelName:l.Relu6,backendName:"cpu",kernelFunc:Ll}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function Bl(t,e,n,r){if("linear"===n)return Object(jl.a)({inputs:{x:e},backend:t});if("relu"===n)return Fl({inputs:{x:e},backend:t});if("elu"===n)return Il({inputs:{x:e},backend:t});if("relu6"===n)return Ll({inputs:{x:e},backend:t});if("prelu"===n)return Rl({inputs:{x:e,alpha:r},backend:t});throw new Error(`Activation ${n} has not been implemented for the CPU backend.`)}var ql=n(70); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Vl(t){const{inputs:e,backend:n,attrs:r}=t,{x:i}=e,{shape:s}=r,a=l.util.sizeFromShape(i.shape),o=l.util.inferFromImplicitShape(s,a),u=l.util.sizeFromShape(o);l.util.assert(a===u,()=>`The new shape (${o}) has ${u} elements and the old shape (${i.shape}) has ${a} elements. The new shape and old shape must have the same number of elements.`),n.incRef(i.dataId);const c=n.data.get(i.dataId);if(null!=c.complexTensorInfos){const t=c.complexTensorInfos.real,e=c.complexTensorInfos.imag;t.shape=o,e.shape=o}return{dataId:i.dataId,shape:o,dtype:i.dtype}}const Ul={kernelName:l.Reshape,backendName:"cpu",kernelFunc:Vl}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Wl(t){const{inputs:e,backend:n,attrs:r}=t,{a:i,b:s}=e,{transposeA:a,transposeB:o}=r;Object(_l.a)([i,s],"matMul");const u=i.shape.length,c=s.shape.length,h=a?i.shape[u-2]:i.shape[u-1],d=o?s.shape[c-1]:s.shape[c-2],p=a?i.shape[u-1]:i.shape[u-2],f=o?s.shape[c-2]:s.shape[c-1],m=i.shape.slice(0,-2),g=s.shape.slice(0,-2),b=l.util.sizeFromShape(m),y=l.util.sizeFromShape(g),v=b===y||1===b||1===y;l.util.assert(u>=2&&c>=2&&v,()=>`Error in matMul: the input batch dimensions must either be the same or at least one input batch dimension must be 1. Got input batch dimensions of (${m}) and (${g}).`);const w=(b>y?i.shape.slice(0,-2):s.shape.slice(0,-2)).concat([p,f]);l.util.assert(h===d,()=>`Error in matMul: inner shapes (${h}) and (${d}) of Tensors with shapes ${i.shape} and ${s.shape} and transposeA=${a} and transposeB=${o} must match.`);const x=o?[y,f,d]:[y,d,f],_=Vl({inputs:{x:i},backend:n,attrs:{shape:a?[b,h,p]:[b,p,h]}}),O=Vl({inputs:{x:s},backend:n,attrs:{shape:x}}),S=a?_.shape[1]:_.shape[2],k=a?_.shape[2]:_.shape[1],T=o?O.shape[1]:O.shape[2],C=Math.max(b,y),A=n.data.get(_.dataId).values,N=n.data.get(O.dataId).values,I=l.util.computeStrides(_.shape),E=l.util.computeStrides(O.shape),[j,M,D]=a?[I[0],1,I[1]]:[I[0],I[1],1],[R,P,F]=o?[1,E[1],E[0]]:[E[1],1,E[0]],z=k*T,L=Object(l.buffer)([C,k,T],_.dtype),$=L.values,B=n.blockSize;for(let t=0;tMath.acos(t)),Xl={kernelName:l.Acos,backendName:"cpu",kernelFunc:Ql},Yl=Object(Nl.a)(l.Acosh,t=>Math.acosh(t)),Jl={kernelName:l.Acosh,backendName:"cpu",kernelFunc:Yl},Zl=Object(Nl.a)(l.Asin,t=>Math.asin(t)),th={kernelName:l.Asin,backendName:"cpu",kernelFunc:Zl},eh=Object(Nl.a)(l.Asinh,t=>Math.asinh(t)),nh={kernelName:l.Asinh,backendName:"cpu",kernelFunc:eh},rh=Object(Nl.a)(l.Atan,t=>Math.atan(t)),ih={kernelName:l.Atan,backendName:"cpu",kernelFunc:rh},sh=Object(Nl.a)(l.Atanh,t=>Math.atanh(t)),ah={kernelName:l.Atanh,backendName:"cpu",kernelFunc:sh}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function oh(t,e,n,r,i,s){const a=i.strideHeight,o=i.strideWidth,u=i.dilationHeight,c=i.dilationWidth,h=i.effectiveFilterHeight,d=i.effectiveFilterWidth,p=i.padInfo.top,f=i.padInfo.left,m="max"===s?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,g=Object(l.buffer)(i.outShape,n),b=g.values,y=i.outShape[1]*i.outShape[2]*i.outShape[3],v=i.outShape[2]*i.outShape[3],w=i.outShape[3];for(let e=0;eg?g=a:"avg"===s&&(y+=a,v++)}if(isNaN(g))break}b[O+n*w+e]="avg"===s?y/v:g}}}return g}function uh(t,e,n,r,i=!1,s=!1){const a=Object(l.buffer)(r.outShape,"int32"),o=r.strideHeight,u=r.strideWidth,c=r.dilationHeight,h=r.dilationWidth,d=r.effectiveFilterHeight,p=r.effectiveFilterWidth,f=r.padInfo.top,m=r.padInfo.left,g=Object(l.buffer)(e,n,t);for(let t=0;tw&&(w=c,x=i?s?((t*r.inHeight+n)*r.inWidth+o)*r.inChannels+e:(n*r.inWidth+o)*r.inChannels+e:a*p+u)}}a.set(x,t,n,o,e)}}return a} /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const ch={kernelName:l.AvgPool,backendName:"cpu",kernelFunc:function(t){const{inputs:e,backend:n,attrs:r}=t,{x:i}=e;Object(_l.a)(i,"avgPool");const{filterSize:s,strides:a,pad:o,dimRoundingMode:u}=r;l.util.assert(l.backend_util.eitherStridesOrDilationsAreOne(a,1),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${a} and dilations '1'`);const c=l.backend_util.computePool2DInfo(i.shape,s,a,1,o,u);let h;if(1===c.filterWidth&&1===c.filterHeight&&l.util.arraysEqual(c.inShape,c.outShape))h=Object(jl.a)({inputs:{x:i},backend:n});else{const t=n.data.get(i.dataId).values,e=l.util.computeStrides(i.shape),r=oh(t,i.shape,i.dtype,e,c,"avg");h=n.makeTensorInfo(c.outShape,i.dtype,r.values)}return h}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const lh={kernelName:l.AvgPoolBackprop,backendName:"cpu",kernelFunc:function(t){const{inputs:e,backend:n,attrs:r}=t,{dy:i,input:s}=e,a=s;Object(_l.a)([i,s],"avgPoolBackprop");const{filterSize:o,strides:u,pad:c}=r,h=l.backend_util.computePool2DInfo(a.shape,o,u,1,c),d=h.strideHeight,p=h.strideWidth,f=h.filterHeight,m=h.filterWidth,g=h.dilationHeight,b=h.dilationWidth,y=h.effectiveFilterHeight,v=h.effectiveFilterWidth,w=v-1-h.padInfo.left,x=y-1-h.padInfo.top,_=Object(l.buffer)(a.shape,"float32"),O=1/(f*m),S=n.data.get(i.dataId).values,k=Object(l.buffer)(i.shape,"float32",S);for(let t=0;t=h.outHeight||Math.floor(r)!==r))for(let n=0;n=h.outWidth||Math.floor(i)!==i)continue;a+=k.get(t,r,i,e)}}_.set(a*O,t,n,r,e)}return n.makeTensorInfo(_.shape,_.dtype,_.values)}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const hh={kernelName:l.FusedBatchNorm,backendName:"cpu",kernelFunc:function(t){const{inputs:e,backend:n,attrs:r}=t,{x:i,scale:s,offset:a,mean:o,variance:u}=e;l.util.assert(o.shape.length===u.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),l.util.assert(null==a||o.shape.length===a.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),l.util.assert(null==s||o.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks."),Object(_l.a)([i,o,u,s,a],"batchNorm");let{varianceEpsilon:c}=r;null==c&&(c=.001);const h=n.data.get(i.dataId).values,d=n.data.get(o.dataId).values,p=n.data.get(u.dataId).values,f=s?n.data.get(s.dataId).values:new Float32Array([1]),m=a?n.data.get(a.dataId).values:new Float32Array([0]),g=new Float32Array(h.length),b=m.length,y=f.length,v=p.length,w=d.length;let x=0,_=0,O=0,S=0;for(let t=0;t=b&&(x=0),_>=w&&(_=0),O>=y&&(O=0),S>=v&&(S=0);return n.makeTensorInfo(i.shape,i.dtype,g)}};var dh=n(153),ph=n(194); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const fh=Object(Nl.a)(l.ClipByValue,(t,e)=>{const n=e;return t>n.clipValueMax?n.clipValueMax:tt.shape),s);if(0===l.util.sizeFromShape(a))return n.makeTensorInfo(a,e[0].dtype,[]);const o=e.filter(t=>l.util.sizeFromShape(t.shape)>0);if(1===o.length)return o[0];const u=o.map(t=>t.shape);if(l.backend_util.assertParamsConsistent(u,s),"complex64"===o[0].dtype){const t=o.map(t=>Object(vh.a)({inputs:{input:t},backend:n})),e=o.map(t=>bh({inputs:{input:t},backend:n})),r=wh({inputs:t,backend:n,attrs:{axis:s}}),i=wh({inputs:e,backend:n,attrs:{axis:s}}),a=Object(gh.a)({inputs:{real:r,imag:i},backend:n});return t.forEach(t=>n.disposeIntermediateTensorInfo(t)),e.forEach(t=>n.disposeIntermediateTensorInfo(t)),n.disposeIntermediateTensorInfo(r),n.disposeIntermediateTensorInfo(i),a}const c=o.map(t=>{const e=l.util.sizeFromShape(t.shape.slice(s));return Vl({inputs:{x:t},backend:n,attrs:{shape:[-1,e]}})});a=l.backend_util.computeOutShape(c.map(t=>t.shape),1);const h=l.util.getTypedArrayFromDType(o[0].dtype,l.util.sizeFromShape(a));if(1===c[0].shape[0]){let t=0;c.forEach(e=>{const r=n.data.get(e.dataId).values,i=l.util.sizeFromShape(e.shape);h.set(r,t),t+=i})}else{let t=0;c.forEach(e=>{const r=n.data.get(e.dataId).values;let i=0;for(let n=0;nt.shape),s),p=n.makeTensorInfo(d,e[0].dtype,h);return c.forEach(t=>n.disposeIntermediateTensorInfo(t)),p}const xh={kernelName:l.Concat,backendName:"cpu",kernelFunc:wh}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function _h(t){const{inputs:e,backend:n,attrs:r}=t,{x:i,filter:s}=e,{strides:a,pad:o,dataFormat:u,dilations:c,dimRoundingMode:h}=r;Object(_l.a)([i,s],"conv2d");const d=l.backend_util.convertConv2DDataFormat(u),p=l.backend_util.computeConv2DInfo(i.shape,s.shape,a,c,o,h,!1,d),f=p.filterHeight,m=p.filterWidth,g=p.dilationHeight,b=p.dilationWidth,y=p.padInfo.left,v=p.padInfo.top,w="channelsLast"===p.dataFormat,x=new l.TensorBuffer(p.outShape,i.dtype),_=l.util.computeStrides(i.shape),O=l.util.computeStrides(s.shape),S=_[0],k=w?_[1]:_[2],T=w?_[2]:1,C=w?1:_[1],A=x.strides[0],N=w?x.strides[1]:x.strides[2],I=w?x.strides[2]:1,E=w?1:x.strides[1],j=n.data.get(i.dataId).values,M=n.data.get(s.dataId).values,D=x.values;for(let t=0;t=p.inHeight)continue;const s=t*O[0],a=e+n*k;for(let t=0;t=p.inWidth)continue;const i=a+r*T;let o=s+t*O[1];for(let t=0;t=c.inDepth)continue;const s=t*T[0],a=e+n*k[1];for(let t=0;t=c.inHeight)continue;const i=s+t*T[1],o=a+r*k[2];for(let t=0;t=c.inWidth)continue;const s=i+t*T[2],a=o+e*c.inChannels;let u=s;for(let t=0;tMath.cos(t)),Ih={kernelName:l.Cos,backendName:"cpu",kernelFunc:Nh},Eh=Object(Nl.a)(l.Cosh,t=>Math.cosh(t)),jh={kernelName:l.Cosh,backendName:"cpu",kernelFunc:Eh}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function Mh(t){const{inputs:e,backend:n,attrs:r}=t,{x:i,filter:s}=e,{strides:a,pad:o,dilations:u,dimRoundingMode:c}=r;Object(_l.a)([i,s],"depthwiseConv2DNative");const h=l.util.computeStrides(i.shape),d=l.util.computeStrides(s.shape);let p=u;null==p&&(p=[1,1]),l.util.assert(l.backend_util.eitherStridesOrDilationsAreOne(a,p),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${a} and dilations '${p}'`);const f=l.backend_util.computeConv2DInfo(i.shape,s.shape,a,p,o,c,!0),{filterHeight:m,filterWidth:g,dilationHeight:b,dilationWidth:y,padInfo:v}=f,w=v.left,x=v.top,_=f.outChannels/f.inChannels,O=new l.TensorBuffer(f.outShape,i.dtype),S=n.data.get(i.dataId).values,k=n.data.get(s.dataId).values,T=O.values;for(let t=0;t=f.inHeight)continue;const s=t*d[0],a=e+n*h[1];for(let t=0;t=f.inWidth)continue;const i=s+t*d[1],o=a+r*f.inChannels;let u=e,c=i;for(let t=0;t{const{x:r,filter:i}=t,{strides:s,pad:a,dilations:o}=n,u=e,c=u.data.get(r.dataId).values,h=r.shape.length,d=u.data.get(i.dataId).values,p=i.shape.length,{batchSize:f,inHeight:m,inWidth:g,inChannels:b,outHeight:y,outWidth:v,padInfo:w,strideHeight:x,strideWidth:_,filterHeight:O,filterWidth:S,dilationHeight:k,dilationWidth:T,outShape:C}=l.backend_util.computeDilation2DInfo(r.shape,i.shape,s,a,"NHWC",o),A=l.util.sizeFromShape(C),N=C.length,I=l.util.getArrayFromDType(r.dtype,A);for(let t=0;t=0&&s=0&&fu&&(u=g)}}}I[l.util.locToIndex([t,e,s,o],N,l.util.computeStrides(C))]=u}}}return{dataId:u.write(l.util.toTypedArray(I,r.dtype),C,r.dtype),shape:C,dtype:r.dtype}}},zh={kernelName:l.Dilation2DBackpropFilter,backendName:"cpu",kernelFunc:({inputs:t,backend:e,attrs:n})=>{const{x:r,filter:i,dy:s}=t,{strides:a,pad:o,dilations:u}=n,c=e,h=l.util.toNestedArray(r.shape,c.data.get(r.dataId).values),d=l.util.toNestedArray(i.shape,c.data.get(i.dataId).values),{batchSize:p,inHeight:f,inWidth:m,inChannels:g,outHeight:b,outWidth:y,padInfo:v,strideHeight:w,strideWidth:x,filterHeight:_,filterWidth:O,dilationHeight:S,dilationWidth:k,outShape:T}=l.backend_util.computeDilation2DInfo(r.shape,i.shape,a,o,"NHWC",u);l.util.assert(s.rank===T.length,()=>`Error in ${l.Dilation2DBackpropFilter}, dy must have the same rank as output ${T.length}, but got `+s.rank);const C=l.util.toNestedArray(T,c.data.get(s.dataId).values),A=l.util.makeZerosNestedTypedArray(i.shape,i.dtype);for(let t=0;t=0&&r=0&&ca&&(a=i,o=e,u=n)}}}A[o][u][s]+=C[t][e][r][s]}}}return{dataId:c.write(l.util.toTypedArray(A,r.dtype),i.shape,i.dtype),shape:i.shape,dtype:i.dtype}}},Lh={kernelName:l.Dilation2DBackpropInput,backendName:"cpu",kernelFunc:({inputs:t,backend:e,attrs:n})=>{const{x:r,filter:i,dy:s}=t,{strides:a,pad:o,dilations:u}=n,c=e,h=l.util.toNestedArray(r.shape,c.data.get(r.dataId).values),d=l.util.toNestedArray(i.shape,c.data.get(i.dataId).values),{batchSize:p,inHeight:f,inWidth:m,inChannels:g,outHeight:b,outWidth:y,padInfo:v,strideHeight:w,strideWidth:x,filterHeight:_,filterWidth:O,dilationHeight:S,dilationWidth:k,outShape:T}=l.backend_util.computeDilation2DInfo(r.shape,i.shape,a,o,"NHWC",u);l.util.assert(s.rank===T.length,()=>`Error in ${l.Dilation2DBackpropInput}, dy must have the same rank as output ${T.length}, but got `+s.rank);const C=l.util.toNestedArray(T,c.data.get(s.dataId).values),A=l.util.makeZerosNestedTypedArray(r.shape,r.dtype);for(let t=0;t=0&&r=0&&ca&&(a=i,o=r,u=c)}}}A[t][o][u][s]+=C[t][e][r][s]}}}return{dataId:c.write(l.util.toTypedArray(A,r.dtype),r.shape,r.dtype),shape:r.shape,dtype:r.dtype}}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */var $h=n(53); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Bh=Object(Ml.a)((t,e)=>t/e),qh=Object($h.a)(l.Div,Bh),Vh={kernelName:l.Div,backendName:"cpu",kernelFunc:qh},Uh=l.backend_util.ERF_P,Wh=l.backend_util.ERF_A1,Gh=l.backend_util.ERF_A2,Hh=l.backend_util.ERF_A3,Kh=l.backend_util.ERF_A4,Qh=l.backend_util.ERF_A5,Xh=Object(Nl.a)(l.Erf,t=>{const e=Math.sign(t),n=Math.abs(t),r=1/(1+Uh*n);return e*(1-((((Qh*r+Kh)*r+Hh)*r+Gh)*r+Wh)*r*Math.exp(-n*n))}),Yh={kernelName:l.Erf,backendName:"cpu",kernelFunc:Xh};var Jh=n(195),Zh=n(196),td=n(139),ed=n(117),nd=n(140); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function rd(t,e,n){const r=t.shape,i=r[0],s=r[1],a=n.data.get(t.dataId),o=a.complexTensorInfos.real,u=a.complexTensorInfos.imag,c=[i,s],h=l.util.sizeFromShape(c),d=l.util.getTypedArrayFromDType("float32",h),p=l.util.getTypedArrayFromDType("float32",h);for(let t=0;t{const{image:r}=t,i=n,s=l.util.getTypedArrayFromDType(r.dtype,l.util.sizeFromShape(r.shape)),[a,o,u,c]=r.shape,h=i.data.get(r.dataId).values;for(let t=0;t=0&&dNumber.isFinite(t)?1:0,"bool"),pd={kernelName:l.IsFinite,backendName:"cpu",kernelFunc:dd},fd=Object(Nl.a)(l.IsInf,t=>Math.abs(t)===1/0?1:0,"bool"),md={kernelName:l.IsInf,backendName:"cpu",kernelFunc:fd},gd=Object(Nl.a)(l.IsNan,t=>Number.isNaN(t)?1:0,"bool"),bd={kernelName:l.IsNan,backendName:"cpu",kernelFunc:gd}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */var yd=n(198); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const vd=Object(Nl.a)(l.Log1p,t=>Math.log1p(t)),wd={kernelName:l.Log1p,backendName:"cpu",kernelFunc:vd},xd=Object(Nl.a)(l.LogicalNot,t=>t?0:1,"bool"),_d={kernelName:l.LogicalNot,backendName:"cpu",kernelFunc:xd};var Od=n(199),Sd=n(141); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const kd={kernelName:l.Max,backendName:"cpu",kernelFunc:({inputs:t,attrs:e,backend:n})=>{const{x:r}=t,{reductionIndices:i,keepDims:s}=e,a=n;let o=r.shape;const u=o.length,c=l.util.parseAxisParam(i,o);let h=c;const d=l.backend_util.getAxesPermutation(h,u);let p=a.data.get(r.dataId).values;if(null!=d){const t=new Array(u);for(let e=0;e`Error in maxPool: Either strides or dilations must be 1. Got strides ${a} and dilations '1'`);const c=l.backend_util.computePool2DInfo(i.shape,s,a,1,o,u);let h;if(1===c.filterWidth&&1===c.filterHeight&&l.util.arraysEqual(c.inShape,c.outShape))h=Object(jl.a)({inputs:{x:i},backend:n});else{const t=n.data.get(i.dataId).values,e=l.util.computeStrides(i.shape),r=oh(t,i.shape,i.dtype,e,c,"max");h=n.makeTensorInfo(c.outShape,i.dtype,r.values)}return h}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Cd={kernelName:l.MaxPoolBackprop,backendName:"cpu",kernelFunc:function(t){const{inputs:e,backend:n,attrs:r}=t,{dy:i,input:s,output:a}=e,o=s;Object(_l.a)([s,a],"maxPoolBackprop");const{filterSize:u,strides:c,pad:h,dimRoundingMode:d}=r,p=l.backend_util.computePool2DInfo(o.shape,u,c,1,h,d),f=n.data.get(o.dataId).values,m=Object(l.buffer)(p.outShape,o.dtype,uh(f,o.shape,o.dtype,p).values),g=p.strideHeight,b=p.strideWidth,y=p.dilationHeight,v=p.dilationWidth,w=p.effectiveFilterHeight,x=p.effectiveFilterWidth,_=x-1-p.padInfo.left,O=w-1-p.padInfo.top,S=Object(l.buffer)(o.shape,"float32"),k=n.data.get(i.dataId).values,T=Object(l.buffer)(i.shape,"float32",k);for(let t=0;t=p.outHeight||Math.floor(r)!==r))for(let i=0;i=p.outWidth||Math.floor(o)!==o)continue;const u=w*x-1-m.get(t,r,o,e)===n*x+i?1:0;if(0===u)continue;a+=T.get(t,r,o,e)*u}}S.set(a,t,n,r,e)}return n.makeTensorInfo(S.shape,S.dtype,S.values)}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const Ad={kernelName:l.MaxPoolWithArgmax,backendName:"cpu",kernelFunc:({inputs:t,attrs:e,backend:n})=>{const{x:r}=t,{filterSize:i,strides:s,pad:a,includeBatchInIndex:o}=e,u=n;Object(_l.a)(r,"MaxPoolWithArgmax");const c=u.data.get(r.dataId).values,h=l.backend_util.computePool2DInfo(r.shape,i,s,[1,1],a),[d,p]=function(t,e,n,r,i){const s=oh(t,0,n,l.util.computeStrides(e),i,"max"),a=uh(t,e,n,i,!0,r);return[s.values,a.values]}(c,r.shape,r.dtype,o,h),f=u.write(d,h.outShape,r.dtype),m=u.write(p,h.outShape,r.dtype);return[{dataId:f,shape:h.outShape,dtype:r.dtype},{dataId:m,shape:h.outShape,dtype:"int32"}]}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Nd={kernelName:l.MirrorPad,backendName:"cpu",kernelFunc:function(t){const{inputs:e,backend:n,attrs:r}=t,{x:i}=e,{paddings:s,mode:a}=r;Object(_l.a)(i,"mirrorPad");const o=s.map((t,e)=>t[0]+i.shape[e]+t[1]),u=s.map(t=>t[0]),c=s.map((t,e)=>t[0]+i.shape[e]),h="reflect"===a?0:1,d=n.data.get(i.dataId).values,p=i.shape.length,f=l.util.computeStrides(i.shape),m=l.util.sizeFromShape(o),g=o.length,b=l.util.computeStrides(o),y=l.util.getTypedArrayFromDType(i.dtype,m);for(let t=0;t=c[t]&&(e[t]=2*(c[t]-1)-e[t]+h);e=e.map((t,e)=>t-u[e]);const n=l.util.locToIndex(e,p,f);y[t]=d[n]}return{dataId:n.write(y,o,i.dtype),shape:o,dtype:i.dtype}}},Id=l.kernel_impls.nonMaxSuppressionV4Impl,Ed={kernelName:l.NonMaxSuppressionV4,backendName:"cpu",kernelFunc:({inputs:t,backend:e,attrs:n})=>{const{boxes:r,scores:i}=t,{maxOutputSize:s,iouThreshold:a,scoreThreshold:o,padToMaxOutputSize:u}=n,c=e;Object(_l.a)(r,"NonMaxSuppressionPadded");const l=c.data.get(r.dataId).values,h=c.data.get(i.dataId).values,{selectedIndices:d,validOutputs:p}=Id(l,h,s,a,o,u);return[d,p]}},jd=l.kernel_impls.nonMaxSuppressionV5Impl,Md={kernelName:l.NonMaxSuppressionV5,backendName:"cpu",kernelFunc:({inputs:t,backend:e,attrs:n})=>{const{boxes:r,scores:i}=t,{maxOutputSize:s,iouThreshold:a,scoreThreshold:o,softNmsSigma:u}=n,c=e;Object(_l.a)(r,"NonMaxSuppressionWithScore");const l=c.data.get(r.dataId).values,h=c.data.get(i.dataId).values,d=s,p=a,f=o,m=u,{selectedIndices:g,selectedScores:b}=jd(l,h,d,p,f,m);return[g,b]}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */var Dd=n(200); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Rd={kernelName:l.PadV2,backendName:"cpu",kernelFunc:function(t){const{inputs:e,backend:n,attrs:r}=t,{x:i}=e,{paddings:s,constantValue:a}=r;Object(_l.a)(i,"pad");const o=s.map((t,e)=>t[0]+i.shape[e]+t[1]),u=s.map(t=>t[0]),c=n.data.get(i.dataId).values,h=l.util.sizeFromShape(i.shape),d=i.shape.length,p=l.util.computeStrides(i.shape),f=l.util.sizeFromShape(o),m=o.length,g=l.util.computeStrides(o),b=l.util.getTypedArrayFromDType(i.dtype,f);0!==a&&b.fill(a);for(let t=0;tt+u[e]);b[l.util.locToIndex(e,m,g)]=c[t]}return{dataId:n.write(b,o,i.dtype),shape:o,dtype:i.dtype}}},Pd=Object(Nl.a)(l.Reciprocal,t=>1/t),Fd={kernelName:l.Reciprocal,backendName:"cpu",kernelFunc:Pd},zd={kernelName:l.RotateWithOffset,backendName:"cpu",kernelFunc:({inputs:t,attrs:e,backend:n})=>{const{image:r}=t,{radians:i,fillValue:s,center:a}=e,o=n,u=l.util.getTypedArrayFromDType(r.dtype,l.util.sizeFromShape(r.shape)),[c,h,d,p]=r.shape,[f,m]=l.backend_util.getImageCenter(a,h,d),g=Math.sin(i),b=Math.cos(i),y=o.data.get(r.dataId).values;for(let t=0;t=0&&w=0&&x{const e=Math.floor(t);return t-e<.5?Math.floor(t):t-e>.5?Math.ceil(t):e%2==0?e:e+1}),$d={kernelName:l.Round,backendName:"cpu",kernelFunc:Ld}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */var Bd=n(201); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const qd=l.backend_util.SELU_SCALEALPHA,Vd=l.backend_util.SELU_SCALE,Ud=Object(Nl.a)(l.Selu,t=>t>=0?Vd*t:qd*(Math.exp(t)-1)),Wd={kernelName:l.Selu,backendName:"cpu",kernelFunc:Ud},Gd=Object(Nl.a)(l.Sigmoid,t=>1/(1+Math.exp(-t))),Hd={kernelName:l.Sigmoid,backendName:"cpu",kernelFunc:Gd},Kd=Object(Nl.a)(l.Sign,t=>t<0?-1:t>0?1:0),Qd={kernelName:l.Sign,backendName:"cpu",kernelFunc:Kd},Xd=Object(Nl.a)(l.Sin,t=>Math.sin(t)),Yd={kernelName:l.Sin,backendName:"cpu",kernelFunc:Xd},Jd=Object(Nl.a)(l.Sinh,t=>Math.sinh(t)),Zd={kernelName:l.Sinh,backendName:"cpu",kernelFunc:Jd},tp=Math.log(1.1920928955078125e-7)+2,ep=Object(Nl.a)(l.Softplus,t=>{const e=t>-tp,n=tMath.sqrt(t)),op={kernelName:l.Sqrt,backendName:"cpu",kernelFunc:ap},up={kernelName:l.Square,backendName:"cpu",kernelFunc:({inputs:t,backend:e})=>{const{x:n}=t,r=e;Object(_l.a)(n,"square");const i=r.data.get(n.dataId).values,s=new Float32Array(i.length);for(let t=0;t{const n=e;return isNaN(t)?NaN:t>0?1:n.alpha}),hp={kernelName:l.Step,backendName:"cpu",kernelFunc:lp},dp=Object(Nl.a)(l.Tan,t=>Math.tan(t)),pp={kernelName:l.Tan,backendName:"cpu",kernelFunc:dp},fp=Object(Nl.a)(l.Tanh,t=>Math.tanh(t)),mp={kernelName:l.Tanh,backendName:"cpu",kernelFunc:fp};var gp=n(203); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const bp={kernelName:l.Unique,backendName:"cpu",kernelFunc:function(t){const{inputs:e,attrs:n,backend:r}=t,{axis:i}=n,{x:s}=e;Object(_l.a)(s,"unique");const a=r.data.get(s.dataId).values,{outputValues:o,outputShape:u,indices:c}=Object(gp.a)(a,i,s.shape,s.dtype);return[r.makeTensorInfo(u,s.dtype,o),r.makeTensorInfo([c.length],"int32",c)]}},yp=[Hl,Kl.a,Xl,Jl,ql.b,th,nh,ih,ah,ch,lh,Gl,hh,dh.b,ph.a,mh,gh.b,xh,Sh,kh,Oh,Ch,Ah,Th,Ih,jh,Dh,Rh,Ph,Fh,Lh,zh,Vh,El,Yh,Jh.a,Zh.a,sd,ad,od,ud.a,cd,ld,jl.b,hd,yh,pd,md,bd,yd.a,wd,_d,Td,Cd,Ad,kd,Nd,td.b,Ed,Md,Dd.a,Rd,Pl,vh.b,Fd,zl,$l,Ul,zd,$d,Bd.a,Wd,Hd,Qd,Yd,Zd,ed.b,np,sp,op,up,cp.a,hp,nd.b,pp,mp,ip,bp]; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */for(const t of yp)Object(l.registerKernel)(t); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */var vp=n(205); /** @license See the LICENSE file. */const wp={"tfjs-core":l.version_core,"tfjs-backend-cpu":"2.7.0","tfjs-backend-webgl":vp.version_webgl,"tfjs-data":xl,"tfjs-layers":On,"tfjs-converter":Wc,tfjs:"2.7.0"}; /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */},function(t,e,n){"use strict";n.d(e,"a",(function(){return l}));var r=n(5),i=n(3),s=n(1),a=n(7),o=n(113),u=n(18),c=n(4);const l=Object(c.b)({where_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e,n){const c=Object(s.a)(e,"a","where"),l=Object(s.a)(n,"b","where"),h=Object(s.a)(t,"condition","where","bool"),d=Object(u.a)(c.shape,l.shape),p=Object(o.a)(c,d),f=Object(o.a)(l,d);1===h.rank&&Object(a.b)(h.shape[0]===c.shape[0],()=>"The first dimension of `a` must match the size of `condition`."),1!==h.rank&&Object(a.e)(h.shape,f.shape,"Error in where: ");const m={condition:h,t:p,e:f};return r.a.runKernelFunc((t,e)=>{const n=t.select(h,p,f);return e([h]),n},m,null,i.rc)}})},function(t,e,n){"use strict";(function(t){n.d(e,"f",(function(){return o})),n.d(e,"e",(function(){return u})),n.d(e,"a",(function(){return d})),n.d(e,"b",(function(){return p})),n.d(e,"d",(function(){return f})),n.d(e,"c",(function(){return m})),n.d(e,"g",(function(){return g}));var r=n(51),i=n(64),s=n(7),a=n(152);async function o(t,e){const n=[],r=[],i=Array.isArray(t)?t.map(t=>t.name):Object.keys(t);for(let s=0;s{const e=await o.bytes(),n=e.reduce((t,e)=>t+e.length,0)+4*e.length,r=new Uint8Array(n);let i=0;for(let t=0;t{if(e+=t.byteLength,n.push(t.byteLength===t.buffer.byteLength?t:new t.constructor(t)),!(t instanceof Float32Array||t instanceof Int32Array||t instanceof Uint8Array))throw new Error("Unsupported TypedArray subtype: "+t.constructor.name)});const r=new Uint8Array(e);let i=0;return n.forEach(t=>{r.set(new Uint8Array(t.buffer),i),i+=t.byteLength}),r.buffer}const l=void 0!==t&&("undefined"==typeof Blob||"undefined"==typeof atob||"undefined"==typeof btoa);function h(e){return l?t.byteLength(e):new Blob([e]).size}function d(e){if(l)return t.from(e).toString("base64");const n=new Uint8Array(e);let r="";for(let t=0,e=n.length;t{e+=t.byteLength});const n=new Uint8Array(e);let r=0;return t.forEach(t=>{n.set(new Uint8Array(t),r),r+=t.byteLength}),n.buffer}function m(t){for(t=t.trim();t.endsWith("/");)t=t.slice(0,t.length-1);const e=t.split("/");return e[e.length-1]}function g(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error("Expected JSON model topology, received ArrayBuffer.");return{dateSaved:new Date,modelTopologyType:"JSON",modelTopologyBytes:null==t.modelTopology?0:h(JSON.stringify(t.modelTopology)),weightSpecsBytes:null==t.weightSpecs?0:h(JSON.stringify(t.weightSpecs)),weightDataBytes:null==t.weightData?0:t.weightData.byteLength}}function b(){const t=function(){const t=t=>{let e=t<<13,n=0;for(;0==(8388608&e);)n-=8388608,e<<=1;return e&=-8388609,n+=947912704,e|n},e=new Uint32Array(2048);e[0]=0;for(let n=1;n<1024;n++)e[n]=t(n);for(let t=1024;t<2048;t++)e[t]=939524096+(t-1024<<13);return e}(),e=function(){const t=new Uint32Array(64);t[0]=0,t[31]=1199570944,t[32]=2147483648,t[63]=3347054592;for(let e=1;e<31;e++)t[e]=e<<23;for(let e=33;e<63;e++)t[e]=2147483648+(e-32<<23);return t}(),n=function(){const t=new Uint32Array(64);for(let e=0;e<64;e++)t[e]=1024;return t[0]=t[32]=0,t}();return r=>{const i=new ArrayBuffer(4*r.length),s=new Uint32Array(i);for(let i=0;i>10]+(1023&a)]+e[a>>10];s[i]=o}return new Float32Array(i)}}}).call(this,n(155).Buffer)},function(t,e,n){"use strict";n.d(e,"a",(function(){return s}));var r=n(6),i=n(7); /** * @license * Copyright 2020 Google Inc. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function s(t,e="float32",n){return e=e||"float32",i.c(t),new r.b(t,e,n)}},function(t,e,n){"use strict";n.d(e,"a",(function(){return o}));var r=n(5),i=n(3),s=n(1),a=n(4);const o=Object(a.b)({exp_: /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t){const e=Object(s.a)(t,"x","exp"),n={x:e};return r.a.runKernelFunc((t,n)=>{const r=t.exp(e);return n([r]),r},n,null,i.X)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return o}));var r=n(5),i=n(3),s=n(1),a=n(4);const o=Object(a.b)({abs_: /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t){const e=Object(s.a)(t,"x","abs"),n={x:e};return r.a.runKernelFunc((t,n)=>(n([e]),"complex64"===e.dtype?t.complexAbs(e):t.abs(e)),n,null,i.a)}})},function(t,e,n){"use strict";n.d(e,"c",(function(){return d})),n.d(e,"b",(function(){return p})),n.d(e,"a",(function(){return f})),n.d(e,"d",(function(){return m}));var r=n(18),i=n(127),s=n(9),a=n(133),o=n(84),u=n(134),c=n(8),l=n(85),h=n(21); /** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function d(t,e,n){if(null==n||"linear"===n)return t;if("relu"===n)return Object(s.a)(t,Object(l.a)(e));throw new Error(`Cannot compute gradient for fused activation ${n}.`)}function p(t,e){let n=e;const i=r.c(t.shape,e.shape);return i.length>0&&(n=Object(h.a)(n,i)),Object(c.a)(n,t.shape)}function f(t,e,n){if("linear"===e)return t;if("relu"===e)return Object(o.a)(t);if("elu"===e)return Object(i.a)(t);if("relu6"===e)return Object(u.a)(t);if("prelu"===e)return Object(a.a)(t,n);throw new Error(`Unknown fused activation ${e}.`)}const m=(t,e)=>!(t>0)||"linear"===e},function(t,e,n){"use strict";n.d(e,"f",(function(){return l})),n.d(e,"e",(function(){return h})),n.d(e,"d",(function(){return d})),n.d(e,"g",(function(){return p})),n.d(e,"a",(function(){return f})),n.d(e,"b",(function(){return k})),n.d(e,"c",(function(){return r}));var r,i=n(0),s=n(89),a=n(75);function o(t){return t instanceof i.Tensor?{value:t.clone(),recurse:!1}:Object(a.e)(t)?{value:null,recurse:!0}:{value:t,recurse:!1}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * * ============================================================================= */class u{constructor(t){if(this.capacity=t,this.begin=0,this.end=0,null==t)throw new RangeError("Can't create a ring buffer of unknown capacity.");if(t<1)throw new RangeError("Can't create ring buffer of capacity < 1.");this.data=new Array(t),this.doubledCapacity=2*t}wrap(t){for(;t<0;)t+=this.doubledCapacity;return t%this.doubledCapacity}get(t){if(t<0)throw new RangeError("Can't get item at a negative index.");return this.data[t%this.capacity]}set(t,e){if(t<0)throw new RangeError("Can't set item at a negative index.");this.data[t%this.capacity]=e}length(){let t=this.end-this.begin;return t<0&&(t=this.doubledCapacity+t),t}isFull(){return this.length()===this.capacity}isEmpty(){return 0===this.length()}push(t){if(this.isFull())throw new RangeError("Ring buffer is full.");this.set(this.end,t),this.end=this.wrap(this.end+1)}pushAll(t){for(const e of t)this.push(e)}pop(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");this.end=this.wrap(this.end-1);const t=this.get(this.end);return this.set(this.end,void 0),t}unshift(t){if(this.isFull())throw new RangeError("Ring buffer is full.");this.begin=this.wrap(this.begin-1),this.set(this.begin,t)}shift(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");const t=this.get(this.begin);return this.set(this.begin,void 0),this.begin=this.wrap(this.begin+1),t}shuffleExcise(t){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");const e=this.wrap(this.begin+t),n=this.get(e);return this.set(e,this.pop()),n}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * * ============================================================================= */class c extends u{constructor(){super(c.INITIAL_CAPACITY)}isFull(){return!1}push(t){super.isFull()&&this.expand(),super.push(t)}unshift(t){super.isFull()&&this.expand(),super.unshift(t)}expand(){const t=2*this.capacity,e=new Array(t),n=this.length();for(let t=0;t!0===t)}rowMajorBatch(t,e=!0){return new w(this,t,e)}columnMajorBatch(t,e=!0,n=a.f){return this.rowMajorBatch(t,e).map(t=>Object(a.d)(t,n))}concatenate(t,e){return new C(l([this,t]),e)}take(t){return t<0||null==t?this:new v(this,t)}skip(t){return t<0||null==t?this:new y(this,t)}prefetch(t){return new N(this,t)}shuffle(t,e){return new I(this,t,e)}serial(){return new b(this)}}class m extends f{constructor(t){super(),this.items=t,this.trav=0}summary(){return`Array of ${this.items.length} items`}async next(){if(this.trav>=this.items.length)return{value:null,done:!0};const t=this.items[this.trav];return this.trav++,{value:(e=t,Object(a.b)(e,o)),done:!1}; /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * * ============================================================================= */ var e}}class g extends f{constructor(t){super(),this.nextFn=t}summary(){return"Function call"}async next(){try{return this.nextFn()}catch(t){throw t.message="Error thrown while iterating through a dataset: "+t.message,t}}}class b extends f{constructor(t){super(),this.upstream=t,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return this.upstream.summary()+" -> Serial"}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){return this.upstream.next()}}class y extends f{constructor(t,e){super(),this.upstream=t,this.maxCount=e,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return this.upstream.summary()+" -> Skip"}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.count++ Take"}async next(){return this.count++>=this.maxCount?{value:null,done:!0}:this.upstream.next()}}class w extends f{constructor(t,e,n=!0){super(),this.upstream=t,this.batchSize=e,this.enableSmallLastBatch=n,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return this.upstream.summary()+" -> RowMajorBatch"}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){const t=[];for(;t.length0?{value:t,done:!1}:{value:null,done:!0};t.push(e.value)}return{value:t,done:!1}}}class x extends f{constructor(t,e){super(),this.upstream=t,this.predicate=e,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return this.upstream.summary()+" -> Filter"}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;){const t=await this.upstream.next();if(t.done||this.predicate(t.value))return t;i.dispose(t.value)}}}class _ extends f{constructor(t,e){super(),this.upstream=t,this.transform=e}summary(){return this.upstream.summary()+" -> Map"}async next(){const t=await this.upstream.next();if(t.done)return{value:null,done:!0};const e=i.tensor_util.getTensorsInContainer(t.value),n=this.transform(t.value),r=i.tensor_util.getTensorsInContainer(n);for(const t of e)i.tensor_util.isTensorInList(t,r)||t.dispose();return{value:n,done:!1}}}class O extends f{constructor(t,e){super(),this.upstream=t,this.handler=e,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return this.upstream.summary()+" -> handleErrors"}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;)try{return await this.upstream.next()}catch(t){if(!this.handler(t))return{value:null,done:!0}}}}class S extends f{constructor(t,e){super(),this.upstream=t,this.transform=e}summary(){return this.upstream.summary()+" -> AsyncMap"}async next(){const t=await this.upstream.next();if(t.done)return{value:null,done:!0};const e=i.tensor_util.getTensorsInContainer(t.value),n=await this.transform(t.value),r=i.tensor_util.getTensorsInContainer(n);for(const t of e)i.tensor_util.isTensorInList(t,r)||t.dispose();return{value:n,done:!1}}}class k extends f{constructor(){super(),this.outputQueue=new c,this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;0===this.outputQueue.length();)if(!await this.pump())return{value:null,done:!0};return{value:this.outputQueue.shift(),done:!1}}}class T extends k{constructor(t,e){super(),this.upstream=t,this.transform=e}summary(){return this.upstream.summary()+" -> Flatmap"}async pump(){const t=await this.upstream.next();if(t.done)return!1;const e=i.tensor_util.getTensorsInContainer(t.value),n=this.transform(t.value),r=i.tensor_util.getTensorsInContainer(n);this.outputQueue.pushAll(n);for(const t of e)i.tensor_util.isTensorInList(t,r)||t.dispose();return!0}}class C extends f{constructor(t,e){super(),this.baseErrorHandler=e,this.lastRead=null,this.iterator=null,this.moreIterators=t}summary(){return"TODO: fill in upstream of chained summaries -> Chained"}async next(){return this.lastRead=this.readFromChain(this.lastRead),this.lastRead}async readFromChain(t){if(await t,null==this.iterator){const t=await this.moreIterators.next();if(t.done)return{value:null,done:!0};this.iterator=t.value,null!=this.baseErrorHandler&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler))}const e=await this.iterator.next();return e.done?(this.iterator=null,this.readFromChain(t)):e}}!function(t){t[t.FAIL=0]="FAIL",t[t.SHORTEST=1]="SHORTEST",t[t.LONGEST=2]="LONGEST"}(r||(r={}));class A extends f{constructor(t,e=r.FAIL){super(),this.iterators=t,this.mismatchMode=e,this.count=0,this.currentPromise=null}summary(){return"{TODO: fill in upstream of zip summaries} -> Zip"}async nextState(t){await t;let e=0,n=0;const i=await Object(a.c)(this.iterators,(function(t){if(t instanceof f){return{value:t.next().then(t=>(e++,t.done&&n++,t.value)),recurse:!1}}return{value:null,recurse:!0}}));if(e===n)return{value:null,done:!0};if(n>0)switch(this.mismatchMode){case r.FAIL:throw new Error(`Zipped streams should have the same length. Mismatched at element ${this.count}.`);case r.SHORTEST:return{value:null,done:!0};case r.LONGEST:}return this.count++,{value:i,done:!1}}async next(){return this.currentPromise=this.nextState(this.currentPromise),this.currentPromise}}class N extends f{constructor(t,e){super(),this.upstream=t,this.bufferSize=e,this.buffer=new u(e)}summary(){return this.upstream.summary()+" -> Prefetch"}refill(){for(;!this.buffer.isFull();){const t=this.upstream.next();this.buffer.push(t)}}next(){return this.refill(),this.buffer.shift()}}class I extends N{constructor(t,e,n){super(t,e),this.upstream=t,this.windowSize=e,this.upstreamExhausted=!1,this.random=s.alea(n||i.util.now().toString()),this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}randomInt(t){return Math.floor(this.random()*t)}chooseIndex(){return this.randomInt(this.buffer.length())}async serialNext(){for(this.upstreamExhausted||this.refill();!this.buffer.isEmpty();){const t=this.chooseIndex(),e=await this.buffer.shuffleExcise(t);if(!e.done)return this.refill(),e;this.upstreamExhausted=!0}return{value:null,done:!0}}}},function(t,e,n){"use strict";n.d(e,"a",(function(){return u}));var r=n(5),i=n(3),s=n(25),a=n(1),o=n(4);const u=Object(o.b)({pow_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e){let n=Object(a.a)(t,"base","pow"),o=Object(a.a)(e,"exp","pow");[n,o]=Object(s.makeTypesMatch)(n,o);const u={a:n,b:o};return r.a.runKernelFunc((t,e)=>{const r=t.pow(n,o);return e([n,o,r]),r},u,null,i.Zb)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return l}));var r=n(5),i=n(3),s=n(1),a=n(7),o=n(71),u=n(4),c=n(8);const l=Object(u.b)({reverse_: /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e){const n=Object(s.a)(t,"x","reverse"),u={x:n},l={dims:e};return r.a.runKernelFunc(t=>{const r=Object(a.I)(e,n.shape);if(0===n.rank)return Object(o.a)(n);const i=t.reverse(n,r);return Object(c.a)(i,n.shape)},u,null,i.mc,l)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return c}));var r=n(5),i=n(3),s=n(25),a=n(1),o=n(18),u=n(4);const c=Object(u.b)({greater_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e){let n=Object(a.a)(t,"a","greater"),u=Object(a.a)(e,"b","greater");[n,u]=Object(s.makeTypesMatch)(n,u),Object(o.a)(n.shape,u.shape);const c={a:n,b:u};return r.a.runKernelFunc(t=>t.greater(n,u),c,null,i.kb)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return a}));var r=n(5),i=n(7),s=n(10); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function a(t,e,n,a){if(null==a&&(a=Object(i.r)(t)),"complex64"===a)throw new Error("Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).");if(!Object(i.A)(t)&&!Array.isArray(t)&&"number"!=typeof t&&"boolean"!=typeof t&&"string"!=typeof t)throw new Error("values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray");if(null!=e){Object(i.c)(e);const t=Object(i.N)(e),r=Object(i.N)(n);Object(i.b)(t===r,()=>`Based on the provided shape, [${e}], the tensor should have ${t} values but has ${r}`);for(let t=0;t`Error creating a new Tensor. Inferred shape (${n}) does not match the provided shape (${e}). `)}}return Object(i.A)(t)||Array.isArray(t)||(t=[t]),e=e||n,t="string"!==a?Object(s.toTypedArray)(t,a):Object(i.m)(t,[],!0),r.a.makeTensor(t,e,a)}},function(t,e,n){"use strict";n.d(e,"a",(function(){return i}));var r=n(0); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function i(t){return(e,n,i,s,a)=>{const o=r.backend_util.assertAndGetBroadcastShape(e,n),u=o.length,c=r.util.computeStrides(o),l=r.util.sizeFromShape(o),h=r.util.getTypedArrayFromDType(a,l),d=e.length,p=n.length,f=r.util.computeStrides(e),m=r.util.computeStrides(n),g=r.backend_util.getBroadcastDims(e,o),b=r.backend_util.getBroadcastDims(n,o);if(g.length+b.length===0)for(let e=0;ea[t]=0);const o=r.util.locToIndex(a,d,f),l=n.slice(-p);b.forEach(t=>l[t]=0);const y=r.util.locToIndex(l,p,m);h[e]=t(i[o],s[y])}return[h,o]}}},function(t,e,n){"use strict";n.d(e,"a",(function(){return o}));var r=n(1),i=n(7),s=n(4),a=n(8);const o=Object(s.b)({expandDims_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e=0){const n=Object(r.a)(t,"x","expandDims",null);i.b(e<=n.rank,()=>"Axis must be <= rank of the tensor");const s=n.shape.slice();return e<0&&(i.b(-(n.rank+1)<=e,()=>`Axis must be in the interval [${-(n.rank+1)}, ${n.rank}]`),e=n.rank+e+1),s.splice(e,0,1),Object(a.a)(n,s)}})},function(t,e,n){"use strict"; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function r(t){const{inputs:e,backend:n}=t,{real:r,imag:i}=e,s=n.data.get(r.dataId).values,a=n.data.get(i.dataId).values,o=n.makeTensorInfo(r.shape,"complex64");return n.data.get(o.dataId).complexTensorInfos={real:n.makeTensorInfo(r.shape,"float32",s),imag:n.makeTensorInfo(i.shape,"float32",a)},o}n.d(e,"a",(function(){return r})),n.d(e,"b",(function(){return i}));const i={kernelName:n(0).Complex,backendName:"cpu",kernelFunc:r}},function(t,e,n){"use strict";n.d(e,"a",(function(){return u}));var r=n(5),i=n(3),s=n(1),a=n(7),o=n(4);const u=Object(o.b)({complex_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e){const n=Object(s.a)(t,"real","complex"),o=Object(s.a)(e,"imag","complex");a.e(n.shape,o.shape,`real and imag shapes, ${n.shape} and ${o.shape}, must match in call to tf.complex().`);const u={real:n,imag:o};return r.a.runKernelFunc(t=>t.complex(n,o),u,null,i.y)}})},function(t,e,n){"use strict";n.r(e),n.d(e,"assertParamsValid",(function(){return i})),n.d(e,"maskToAxes",(function(){return s})),n.d(e,"computeOutShape",(function(){return a})),n.d(e,"stridesWithElidedDims",(function(){return o})),n.d(e,"getNormalizedAxes",(function(){return l})),n.d(e,"startIndicesWithElidedDims",(function(){return h})),n.d(e,"stopIndicesWithElidedDims",(function(){return d})),n.d(e,"stridesForAxis",(function(){return p})),n.d(e,"startForAxis",(function(){return f})),n.d(e,"stopForAxis",(function(){return m})),n.d(e,"isSliceContinous",(function(){return g})),n.d(e,"computeFlatOffset",(function(){return b})),n.d(e,"parseSliceParams",(function(){return y}));var r=n(7); /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function i(t,e,n){const i=t.shape.length;r.b(i===e.length,()=>`Error in slice${i}D: Length of begin ${e} must match the rank of the array (${i}).`),r.b(i===n.length,()=>`Error in slice${i}D: Length of size ${n} must match the rank of the array (${i}).`);for(let s=0;s`Error in slice${i}D: begin[${s}] + size[${s}] (${e[s]+n[s]}) would overflow input.shape[${s}] (${t.shape[s]})`)}function s(t){const e=[];let n=0;for(;t>0;)1&t&&e.push(n),t/=2,n++;return e}function a(t,e,n){const r=[];for(let i=0;i0){const c=e[0],l=n+1;g=h(a,c,l,r,t),b=d(u,c,l,i,t),y=o(s,c,l,t)}else for(let e=0;e-1)s[i]=0;else{const a=u(e,n,i);let o=r[a];t&1<-1)a[r]=Number.MAX_SAFE_INTEGER;else{const s=u(e,n,r);let o=i[s];t&1<0?Number.MIN_SAFE_INTEGER:Number.MAX_SAFE_INTEGER);const c=i[s];return o<0&&(o+=c),o=r.i(0,o,c-1),o}function m(t,e,n,i,s,a){let o=e[s];const u=n[s]||1;(t&1<0?Number.MAX_SAFE_INTEGER:Number.MIN_SAFE_INTEGER);const c=i[s];return o<0&&(o+=c),o=u>0?r.i(0,o,c):r.i(-1,o,c-1),o}function g(t,e,n){let r=n.length;for(let t=0;t1){r=t;break}for(let i=r+1;i0||n[i]!==t[i])return!1;return!0}function b(t,e){let n=t.length>0?t[t.length-1]:1;for(let r=0;r{r.b(-1!==t,()=>"slice() does not support negative begin indexing.")}),a=null==n?new Array(s).fill(-1):"number"==typeof n?[n,...new Array(s-1).fill(-1)]:n.lengthe>=0?e:(r.b(-1===e,()=>`Negative size values should be exactly -1 but got ${e} for the slice() size at index ${n}.`),t.shape[n]-i[n])),[i,a]}},function(t,e,n){"use strict";n.d(e,"a",(function(){return o})),n.d(e,"b",(function(){return u}));var r=n(0),i=n(11),s=n(153),a=n(50); /** * @license * Copyright 2020 Google LLC. 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All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e=null,n=!1){const p=Object(a.a)(t,"x","mean"),b=Object(o.I)(e,p.shape),y=Object(u.d)(p.shape,b)[1],v=Object(o.N)(y),w={x:p},x={axis:e,keepDims:n},_=()=>{const t=Object(m.a)(v),r=t.dtype===p.dtype?p:Object(c.a)(p,t.dtype),i=Object(l.a)(r,t);return Object(g.a)(i,e,n)};return Object(i.a)(t=>({value:r.a.runKernelFunc(_,w,null,s.Kb,x),gradFunc:e=>{const n=t.shape.slice();b.forEach(t=>{n[t]=1});const r=Object(f.a)(e,n);return Object(l.a)(Object(h.a)(r,Object(d.a)(t.shape,"float32")),v)}}))(p)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return o}));var r=n(5),i=n(3),s=n(1),a=n(4);const o=Object(a.b)({real_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t){const e=Object(s.a)(t,"input","real"),n={input:e};return r.a.runKernelFunc(t=>t.real(e),n,null,i.dc)}})},function(t,e,n){"use strict"; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function r(t){const{inputs:e,backend:n}=t,{input:r}=e,i=n.data.get(r.dataId).complexTensorInfos.real,s=n.data.get(i.dataId).values;return n.makeTensorInfo(i.shape,i.dtype,s)}n.d(e,"a",(function(){return r})),n.d(e,"b",(function(){return i}));const i={kernelName:n(0).Real,backendName:"cpu",kernelFunc:r}},function(t,e){var n;n=function(){return this}();try{n=n||new Function("return this")()}catch(t){"object"==typeof window&&(n=window)}t.exports=n},function(t,e,n){"use strict"; /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ var r,i,s,a,o;n.d(e,"a",(function(){return r})),n.d(e,"c",(function(){return c})),n.d(e,"b",(function(){return l})),function(t){t.R0="R0",t.R1="R1",t.R2="R2",t.R3="R3",t.R4="R4",t.R5="R5",t.R6="R6"}(r||(r={})),function(t){t.float32="float32",t.int32="int32",t.bool="int32",t.complex64="complex64"}(i||(i={})),function(t){t.float32="float32",t.int32="int32",t.bool="bool",t.complex64="complex64"}(s||(s={})),function(t){t.float32="float32",t.int32="float32",t.bool="float32",t.complex64="complex64"}(a||(a={})),function(t){t.float32="complex64",t.int32="complex64",t.bool="complex64",t.complex64="complex64"}(o||(o={}));const u={float32:a,int32:i,bool:s,complex64:o};function c(t,e){if("string"===t||"string"===e){if("string"===t&&"string"===e)return"string";throw new Error(`Can not upcast ${t} with ${e}`)}return u[t][e]}function l(t){return c(t,"int32")}},function(t,e,n){"use strict";n.d(e,"a",(function(){return u}));var r=n(5),i=n(3),s=n(1),a=n(7),o=n(4);const u=Object(o.b)({batchToSpaceND_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e,n){const o=Object(s.a)(t,"x","batchToSpaceND"),u=e.reduce((t,e)=>t*e);a.b(o.rank>=1+e.length,()=>`input rank is ${o.rank} but should be > than blockShape.length ${e.length}`),a.b(n.length===e.length,()=>`crops.length is ${n.length} but should be equal to blockShape.length ${e.length}`),a.b(o.shape[0]%u==0,()=>`input tensor batch is ${o.shape[0]} but is not divisible by the product of the elements of blockShape ${e.join(" * ")} === ${u}`);const c={x:o},l={blockShape:e,crops:n};return r.a.runKernelFunc(t=>t.batchToSpaceND(o,e,n),c,null,i.t,l)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return l}));var r=n(5),i=n(3),s=n(1),a=n(7),o=n(4),u=n(8),c=n(170);const l=Object(o.b)({gather_: /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e,n=0){const o=Object(s.a)(t,"x","gather"),l=Object(s.a)(e,"indices","gather","int32"),h={x:o,indices:l},d={axis:n};return r.a.runKernelFunc((t,e)=>{const r=Object(a.I)(n,o.shape)[0],i=Object(c.collectGatherOpShapeInfo)(o,l,r),s=t.gather(o,Object(u.a)(l,[l.size]),r);return e([o,l]),Object(u.a)(s,i.outputShape)},h,null,i.jb,d)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return o}));var r=n(5),i=n(3),s=n(1),a=n(4);const o=Object(a.b)({imag_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t){const e=Object(s.a)(t,"input","imag"),n={input:e};return r.a.runKernelFunc(t=>t.imag(e),n,null,i.ob)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return c}));var r=n(5),i=n(3),s=n(25),a=n(1),o=n(18),u=n(4);const c=Object(u.b)({less_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e){let n=Object(a.a)(t,"a","less"),u=Object(a.a)(e,"b","less");[n,u]=Object(s.makeTypesMatch)(n,u),Object(o.a)(n.shape,u.shape);const c={a:n,b:u};return r.a.runKernelFunc(t=>t.less(n,u),c,null,i.ub)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return o}));var r=n(5),i=n(3),s=n(1),a=n(4);const o=Object(a.b)({logicalNot_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t){const e=Object(s.a)(t,"x","logicalNot","bool"),n={x:e};return r.a.runKernelFunc(t=>t.logicalNot(e),n,null,i.Bb)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return l}));var r=n(5),i=n(3),s=n(25),a=n(1),o=n(18),u=n(12),c=n(4);const l=Object(c.b)({minimum_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e){let n=Object(a.a)(t,"a","minimum"),c=Object(a.a)(e,"b","minimum");[n,c]=Object(s.makeTypesMatch)(n,c),"bool"===n.dtype&&(n=Object(u.a)(n,"int32"),c=Object(u.a)(c,"int32")),Object(o.a)(n.shape,c.shape);const l={a:n,b:c};return r.a.runKernelFunc((t,e)=>{const r=t.minimum(n,c);return e([n,c]),r},l,null,i.Mb)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return c}));var r=n(5),i=n(3),s=n(25),a=n(1),o=n(18),u=n(4);const c=Object(u.b)({notEqual_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e){let n=Object(a.a)(t,"a","notEqual"),u=Object(a.a)(e,"b","notEqual");[n,u]=Object(s.makeTypesMatch)(n,u),Object(o.a)(n.shape,u.shape);const c={a:n,b:u};return r.a.runKernelFunc(t=>t.notEqual(n,u),c,null,i.Ub)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return u}));var r=n(5),i=n(3),s=n(1),a=n(7),o=n(4);const u=Object(o.b)({spaceToBatchND_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e,n){const o=Object(s.a)(t,"x","spaceToBatchND");a.b(o.rank>=1+e.length,()=>`input rank ${o.rank} should be > than [blockShape] ${e.length}`),a.b(n.length===e.length,()=>`paddings.shape[0] ${n.length} must be equal to [blockShape] ${e.length}`),a.b(o.shape.reduce((t,r,i)=>i>0&&i<=e.length?t&&(r+n[i-1][0]+n[i-1][1])%e[i-1]==0:t,!0),()=>`input spatial dimensions ${o.shape.slice(1)} with paddings ${n.toString()} must be divisible by blockShapes ${e.toString()}`);const u={x:o},c={blockShape:e,paddings:n};return r.a.runKernelFunc(t=>t.spaceToBatchND(o,e,n),u,null,i.Ac,c)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return c}));var r=n(5),i=n(3),s=n(25),a=n(1),o=n(18),u=n(4);const c=Object(u.b)({squaredDifference_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e){let n=Object(a.a)(t,"a","squaredDifference"),u=Object(a.a)(e,"b","squaredDifference");[n,u]=Object(s.makeTypesMatch)(n,u),Object(o.a)(n.shape,u.shape);const c={a:n,b:u};return r.a.runKernelFunc((t,e)=>{const r=t.squaredDifference(n,u);return e([n,u]),r},c,null,i.Fc,{})}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return o}));var r=n(1),i=n(7),s=n(4),a=n(8);const o=Object(s.b)({squeeze_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e){const n=Object(r.a)(t,"x","squeeze");return Object(a.a)(n,Object(i.P)(n.shape,e).newShape)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return u}));var r=n(5),i=n(3),s=n(1),a=n(7),o=n(4);const u=Object(o.b)({unstack_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e=0){const n=Object(s.a)(t,"x","unstack");a.b(e>=-n.shape.length&&e`Axis = ${e} is not in [-${n.shape.length}, ${n.shape.length})`),e<0&&(e+=n.shape.length);const o={value:n},u={axis:e};return r.a.runKernelFunc(t=>t.unstack(n,e),o,null,i.Qc,u)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return i})),n.d(e,"b",(function(){return s})),n.d(e,"c",(function(){return a}));var r=n(89);n(143); /** * @license * Copyright 2018 Google LLC. 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k.rolloffFactor},set rolloffFactor(t){if(t<0)throw new RangeError;k.rolloffFactor=t},addEventListener:(...t)=>A.addEventListener(t[0],t[1],t[2]),dispatchEvent:(...t)=>A.dispatchEvent(t[0]),removeEventListener:(...t)=>A.removeEventListener(t[0],t[1],t[2])};l!==L.coneInnerAngle&&(L.coneInnerAngle=l),h!==L.coneOuterAngle&&(L.coneOuterAngle=h),d!==L.coneOuterGain&&(L.coneOuterGain=d),p!==L.distanceModel&&(L.distanceModel=p),f!==L.maxDistance&&(L.maxDistance=f),m!==L.orientationX.value&&(L.orientationX.value=m),g!==L.orientationY.value&&(L.orientationY.value=g),b!==L.orientationZ.value&&(L.orientationZ.value=b),y!==L.panningModel&&(L.panningModel=y),v!==L.positionX.value&&(L.positionX.value=v),w!==L.positionY.value&&(L.positionY.value=w),x!==L.positionZ.value&&(L.positionZ.value=x),_!==L.refDistance&&(L.refDistance=_),O!==L.rolloffFactor&&(L.rolloffFactor=O),1===F[0]&&0===F[1]&&0===F[2]||k.setOrientation(...F),0===z[0]&&0===z[1]&&0===z[2]||k.setPosition(...z);return 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Permission to use, copy, modify, and/or distribute this software for any purpose with or without fee is hereby granted. THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. ***************************************************************************** */(this.rawContext,t,e)}addAudioWorkletModule(t,e){return yi(this,void 0,void 0,(function*(){Zr(oi(this.rawContext.audioWorklet),"AudioWorkletNode is only available in a secure context (https or localhost)"),this._workletModules.has(e)||this._workletModules.set(e,this.rawContext.audioWorklet.addModule(t)),yield this._workletModules.get(e)}))}workletsAreReady(){return yi(this,void 0,void 0,(function*(){const t=[];this._workletModules.forEach(e=>t.push(e)),yield Promise.all(t)}))}get updateInterval(){return this._ticker.updateInterval}set updateInterval(t){this._ticker.updateInterval=t}get clockSource(){return this._ticker.type}set clockSource(t){this._ticker.type=t}get latencyHint(){return this._latencyHint}_setLatencyHint(t){let e=0;if(this._latencyHint=t,pi(t))switch(t){case"interactive":e=.1;break;case"playback":e=.5;break;case"balanced":e=.25}this.lookAhead=e,this.updateInterval=e/2}get rawContext(){return this._context}now(){return this._context.currentTime+this.lookAhead}immediate(){return this._context.currentTime}resume(){return"suspended"===this._context.state&&Oi(this._context)?this._context.resume():Promise.resolve()}close(){return yi(this,void 0,void 0,(function*(){var t;Oi(this._context)&&(yield this._context.close()),this._initialized&&(t=this,Li.forEach(e=>e(t)))}))}getConstant(t){if(this._constants.has(t))return this._constants.get(t);{const e=this._context.createBuffer(1,128,this._context.sampleRate),n=e.getChannelData(0);for(let e=0;ethis._constants[t].disconnect()),this}_timeoutLoop(){const t=this.now();let e=this._timeouts.peek();for(;this._timeouts.length&&e&&e.time<=t;)e.callback(),this._timeouts.shift(),e=this._timeouts.peek()}setTimeout(t,e){this._timeoutIds++;const n=this.now();return this._timeouts.add({callback:t,id:this._timeoutIds,time:n+e}),this._timeoutIds}clearTimeout(t){return this._timeouts.forEach(e=>{e.id===t&&this._timeouts.remove(e)}),this}clearInterval(t){return this.clearTimeout(t)}setInterval(t,e){const n=++this._timeoutIds,r=()=>{const i=this.now();this._timeouts.add({callback:()=>{t(),r()},id:n,time:i+e})};return r(),n}}function Ui(t,e){di(e)?e.forEach(e=>Ui(t,e)):Object.defineProperty(t,e,{enumerable:!0,writable:!1})}function Wi(t,e){di(e)?e.forEach(e=>Wi(t,e)):Object.defineProperty(t,e,{writable:!0})}const Gi=()=>{};class Hi extends Ii{constructor(){super(),this.name="ToneAudioBuffer",this.onload=Gi;const t=Ci(Hi.getDefaults(),arguments,["url","onload","onerror"]);this.reverse=t.reverse,this.onload=t.onload,t.url&&Si(t.url)||t.url instanceof Hi?this.set(t.url):pi(t.url)&&this.load(t.url).catch(t.onerror)}static getDefaults(){return{onerror:Gi,onload:Gi,reverse:!1}}get sampleRate(){return this._buffer?this._buffer.sampleRate:Yi().sampleRate}set(t){return t instanceof Hi?t.loaded?this._buffer=t.get():t.onload=()=>{this.set(t),this.onload(this)}:this._buffer=t,this._reversed&&this._reverse(),this}get(){return this._buffer}load(t){return yi(this,void 0,void 0,(function*(){const e=Hi.load(t).then(t=>{this.set(t),this.onload(this)});Hi.downloads.push(e);try{yield e}finally{const t=Hi.downloads.indexOf(e);Hi.downloads.splice(t,1)}return this}))}dispose(){return super.dispose(),this._buffer=void 0,this}fromArray(t){const e=di(t)&&t[0].length>0,n=e?t.length:1,r=e?t[0].length:t.length,i=Yi(),s=i.createBuffer(n,r,i.sampleRate),a=e||1!==n?t:[t];for(let t=0;tt/e),this.fromArray(t)}return this}toArray(t){if(ci(t))return this.getChannelData(t);if(1===this.numberOfChannels)return this.toArray(0);{const t=[];for(let e=0;e0}get duration(){return this._buffer?this._buffer.duration:0}get length(){return this._buffer?this._buffer.length:0}get numberOfChannels(){return this._buffer?this._buffer.numberOfChannels:0}get reverse(){return this._reversed}set reverse(t){this._reversed!==t&&(this._reversed=t,this._reverse())}static fromArray(t){return(new Hi).fromArray(t)}static fromUrl(t){return yi(this,void 0,void 0,(function*(){const e=new Hi;return yield e.load(t)}))}static load(t){return yi(this,void 0,void 0,(function*(){const e=t.match(/\[(.+\|?)+\]$/);if(e){const n=e[1].split("|");let r=n[0];for(const t of n)if(Hi.supportsType(t)){r=t;break}t=t.replace(e[0],r)}const n=""===Hi.baseUrl||Hi.baseUrl.endsWith("/")?Hi.baseUrl:Hi.baseUrl+"/",r=yield fetch(n+t);if(!r.ok)throw new Error("could not load url: "+t);const i=yield r.arrayBuffer();return yield Yi().decodeAudioData(i)}))}static supportsType(t){const e=t.split("."),n=e[e.length-1];return""!==document.createElement("audio").canPlayType("audio/"+n)}static loaded(){return yi(this,void 0,void 0,(function*(){for(yield Promise.resolve();Hi.downloads.length;)yield Hi.downloads[0]}))}}Hi.baseUrl="",Hi.downloads=[];class Ki extends Vi{constructor(){var t,e,n;super({clockSource:"offline",context:_i(arguments[0])?arguments[0]:(t=arguments[0],e=arguments[1]*arguments[2],n=arguments[2],new Vr(t,e,n)),lookAhead:0,updateInterval:_i(arguments[0])?128/arguments[0].sampleRate:128/arguments[2]}),this.name="OfflineContext",this._currentTime=0,this.isOffline=!0,this._duration=_i(arguments[0])?arguments[0].length/arguments[0].sampleRate:arguments[1]}now(){return this._currentTime}get currentTime(){return this._currentTime}_renderClock(t){return yi(this,void 0,void 0,(function*(){let e=0;for(;this._duration-this._currentTime>=0;){this.emit("tick"),this._currentTime+=128/this.sampleRate,e++;const n=Math.floor(this.sampleRate/128);t&&e%n==0&&(yield new Promise(t=>setTimeout(t,1)))}}))}render(t=!0){return yi(this,void 0,void 0,(function*(){yield this.workletsAreReady(),yield this._renderClock(t);const e=yield this._context.startRendering();return new Hi(e)}))}close(){return Promise.resolve()}}const Qi=new class extends qi{constructor(){super(...arguments),this.lookAhead=0,this.latencyHint=0,this.isOffline=!1}createAnalyser(){return{}}createOscillator(){return{}}createBufferSource(){return{}}createBiquadFilter(){return{}}createBuffer(t,e,n){return{}}createChannelMerger(t){return{}}createChannelSplitter(t){return{}}createConstantSource(){return{}}createConvolver(){return{}}createDelay(t){return{}}createDynamicsCompressor(){return{}}createGain(){return{}}createIIRFilter(t,e){return{}}createPanner(){return{}}createPeriodicWave(t,e,n){return{}}createStereoPanner(){return{}}createWaveShaper(){return{}}createMediaStreamSource(t){return{}}createMediaStreamDestination(){return{}}decodeAudioData(t){return Promise.resolve({})}createAudioWorkletNode(t,e){return{}}get rawContext(){return{}}addAudioWorkletModule(t,e){return yi(this,void 0,void 0,(function*(){return Promise.resolve()}))}resume(){return Promise.resolve()}setTimeout(t,e){return 0}clearTimeout(t){return this}setInterval(t,e){return 0}clearInterval(t){return this}getConstant(t){return{}}get currentTime(){return 0}get state(){return{}}get sampleRate(){return 0}get listener(){return{}}get transport(){return{}}get draw(){return{}}set draw(t){}get destination(){return{}}set destination(t){}now(){return 0}immediate(){return 0}};let Xi=Qi;function Yi(){return Xi===Qi&&gi&&Ji(new Vi),Xi}function Ji(t){Xi=Oi(t)?new Vi(t):_i(t)?new Ki(t):t}function Zi(){return Xi.resume()}if(mi&&!mi.TONE_SILENCE_LOGGING){let t="v";"dev"===s&&(t="");const e=` * Tone.js ${t}${s} * `;console.log("%c"+e,"background: #000; color: #fff")}function ts(t){return Math.pow(10,t/20)}function es(t){return Math.log(t)/Math.LN10*20}function ns(t){return Math.pow(2,t/12)}let rs=440;function is(t){return Math.round(ss(t))}function ss(t){return 69+12*Math.log2(t/rs)}function as(t){return rs*Math.pow(2,(t-69)/12)}class os extends Ii{constructor(t,e,n){super(),this.defaultUnits="s",this._val=e,this._units=n,this.context=t,this._expressions=this._getExpressions()}_getExpressions(){return{hz:{method:t=>this._frequencyToUnits(parseFloat(t)),regexp:/^(\d+(?:\.\d+)?)hz$/i},i:{method:t=>this._ticksToUnits(parseInt(t,10)),regexp:/^(\d+)i$/i},m:{method:t=>this._beatsToUnits(parseInt(t,10)*this._getTimeSignature()),regexp:/^(\d+)m$/i},n:{method:(t,e)=>{const n=parseInt(t,10),r="."===e?1.5:1;return 1===n?this._beatsToUnits(this._getTimeSignature())*r:this._beatsToUnits(4/n)*r},regexp:/^(\d+)n(\.?)$/i},number:{method:t=>this._expressions[this.defaultUnits].method.call(this,t),regexp:/^(\d+(?:\.\d+)?)$/},s:{method:t=>this._secondsToUnits(parseFloat(t)),regexp:/^(\d+(?:\.\d+)?)s$/},samples:{method:t=>parseInt(t,10)/this.context.sampleRate,regexp:/^(\d+)samples$/},t:{method:t=>{const e=parseInt(t,10);return this._beatsToUnits(8/(3*Math.floor(e)))},regexp:/^(\d+)t$/i},tr:{method:(t,e,n)=>{let r=0;return t&&"0"!==t&&(r+=this._beatsToUnits(this._getTimeSignature()*parseFloat(t))),e&&"0"!==e&&(r+=this._beatsToUnits(parseFloat(e))),n&&"0"!==n&&(r+=this._beatsToUnits(parseFloat(n)/4)),r},regexp:/^(\d+(?:\.\d+)?):(\d+(?:\.\d+)?):?(\d+(?:\.\d+)?)?$/}}}valueOf(){if(this._val instanceof os&&this.fromType(this._val),ai(this._val))return this._noArg();if(pi(this._val)&&ai(this._units)){for(const t in this._expressions)if(this._expressions[t].regexp.test(this._val.trim())){this._units=t;break}}else if(li(this._val)){let t=0;for(const e in this._val)if(oi(this._val[e])){const n=this._val[e];t+=new this.constructor(this.context,e).valueOf()*n}return t}if(oi(this._units)){const t=this._expressions[this._units],e=this._val.toString().trim().match(t.regexp);return e?t.method.apply(this,e.slice(1)):t.method.call(this,this._val)}return pi(this._val)?parseFloat(this._val):this._val}_frequencyToUnits(t){return 1/t}_beatsToUnits(t){return 60/this._getBpm()*t}_secondsToUnits(t){return t}_ticksToUnits(t){return t*this._beatsToUnits(1)/this._getPPQ()}_noArg(){return this._now()}_getBpm(){return this.context.transport.bpm.value}_getTimeSignature(){return this.context.transport.timeSignature}_getPPQ(){return this.context.transport.PPQ}fromType(t){switch(this._units=void 0,this.defaultUnits){case"s":this._val=t.toSeconds();break;case"i":this._val=t.toTicks();break;case"hz":this._val=t.toFrequency();break;case"midi":this._val=t.toMidi()}return this}toFrequency(){return 1/this.toSeconds()}toSamples(){return this.toSeconds()*this.context.sampleRate}toMilliseconds(){return 1e3*this.toSeconds()}}class us extends os{constructor(){super(...arguments),this.name="TimeClass"}_getExpressions(){return Object.assign(super._getExpressions(),{now:{method:t=>this._now()+new this.constructor(this.context,t).valueOf(),regexp:/^\+(.+)/},quantize:{method:t=>{const e=new us(this.context,t).valueOf();return this._secondsToUnits(this.context.transport.nextSubdivision(e))},regexp:/^@(.+)/}})}quantize(t,e=1){const n=new this.constructor(this.context,t).valueOf(),r=this.valueOf();return r+(Math.round(r/n)*n-r)*e}toNotation(){const t=this.toSeconds(),e=["1m"];for(let t=1;t<9;t++){const n=Math.pow(2,t);e.push(n+"n."),e.push(n+"n"),e.push(n+"t")}e.push("0");let n=e[0],r=new us(this.context,e[0]).toSeconds();return e.forEach(e=>{const i=new us(this.context,e).toSeconds();Math.abs(i-t)3&&(r=parseFloat(parseFloat(i).toFixed(3)));return[n,e,r].join(":")}toTicks(){const t=this._beatsToUnits(1),e=this.valueOf()/t;return Math.round(e*this._getPPQ())}toSeconds(){return this.valueOf()}toMidi(){return is(this.toFrequency())}_now(){return this.context.now()}}function cs(t,e){return new us(Yi(),t,e)}class ls extends us{constructor(){super(...arguments),this.name="Frequency",this.defaultUnits="hz"}static get A4(){return rs}static set A4(t){!function(t){rs=t}(t)}_getExpressions(){return Object.assign({},super._getExpressions(),{midi:{regexp:/^(\d+(?:\.\d+)?midi)/,method(t){return"midi"===this.defaultUnits?t:ls.mtof(t)}},note:{regexp:/^([a-g]{1}(?:b|#|x|bb)?)(-?[0-9]+)/i,method(t,e){const n=hs[t.toLowerCase()]+12*(parseInt(e,10)+1);return"midi"===this.defaultUnits?n:ls.mtof(n)}},tr:{regexp:/^(\d+(?:\.\d+)?):(\d+(?:\.\d+)?):?(\d+(?:\.\d+)?)?/,method(t,e,n){let r=1;return t&&"0"!==t&&(r*=this._beatsToUnits(this._getTimeSignature()*parseFloat(t))),e&&"0"!==e&&(r*=this._beatsToUnits(parseFloat(e))),n&&"0"!==n&&(r*=this._beatsToUnits(parseFloat(n)/4)),r}}})}transpose(t){return new ls(this.context,this.valueOf()*ns(t))}harmonize(t){return t.map(t=>this.transpose(t))}toMidi(){return is(this.valueOf())}toNote(){const t=this.toFrequency(),e=Math.log2(t/ls.A4);let n=Math.round(12*e)+57;const r=Math.floor(n/12);r<0&&(n+=-12*r);return ds[n%12]+r.toString()}toSeconds(){return 1/super.toSeconds()}toTicks(){const t=this._beatsToUnits(1),e=this.valueOf()/t;return Math.floor(e*this._getPPQ())}_noArg(){return 0}_frequencyToUnits(t){return t}_ticksToUnits(t){return 1/(60*t/(this._getBpm()*this._getPPQ()))}_beatsToUnits(t){return 1/super._beatsToUnits(t)}_secondsToUnits(t){return 1/t}static mtof(t){return as(t)}static ftom(t){return is(t)}}const hs={cbb:-2,cb:-1,c:0,"c#":1,cx:2,dbb:0,db:1,d:2,"d#":3,dx:4,ebb:2,eb:3,e:4,"e#":5,ex:6,fbb:3,fb:4,f:5,"f#":6,fx:7,gbb:5,gb:6,g:7,"g#":8,gx:9,abb:7,ab:8,a:9,"a#":10,ax:11,bbb:9,bb:10,b:11,"b#":12,bx:13},ds=["C","C#","D","D#","E","F","F#","G","G#","A","A#","B"];function ps(t,e){return new ls(Yi(),t,e)}class fs extends us{constructor(){super(...arguments),this.name="TransportTime"}_now(){return this.context.transport.seconds}}function ms(t,e){return new fs(Yi(),t,e)}class gs extends Ii{constructor(){super();const t=Ci(gs.getDefaults(),arguments,["context"]);this.defaultContext?this.context=this.defaultContext:this.context=t.context}static getDefaults(){return{context:Yi()}}now(){return this.context.currentTime+this.context.lookAhead}immediate(){return this.context.currentTime}get sampleTime(){return 1/this.context.sampleRate}get blockTime(){return 128/this.context.sampleRate}toSeconds(t){return new us(this.context,t).toSeconds()}toFrequency(t){return new ls(this.context,t).toFrequency()}toTicks(t){return new fs(this.context,t).toTicks()}_getPartialProperties(t){const e=this.get();return Object.keys(e).forEach(n=>{ai(t[n])&&delete e[n]}),e}get(){const t=this.constructor.getDefaults();return Object.keys(t).forEach(e=>{if(Reflect.has(this,e)){const n=this[e];oi(n)&&oi(n.value)&&oi(n.setValueAtTime)?t[e]=n.value:n instanceof gs?t[e]=n._getPartialProperties(t[e]):di(n)||ci(n)||pi(n)||hi(n)?t[e]=n:delete t[e]}}),t}set(t){return Object.keys(t).forEach(e=>{Reflect.has(this,e)&&oi(this[e])&&(this[e]&&oi(this[e].value)&&oi(this[e].setValueAtTime)?this[e].value!==t[e]&&(this[e].value=t[e]):this[e]instanceof gs?this[e].set(t[e]):this[e]=t[e])}),this}}class bs extends Pi{constructor(t="stopped"){super(),this.name="StateTimeline",this._initial=t,this.setStateAtTime(this._initial,0)}getValueAtTime(t){const e=this.get(t);return null!==e?e.state:this._initial}setStateAtTime(t,e,n){return ti(e,0),this.add(Object.assign({},n,{state:t,time:e})),this}getLastState(t,e){for(let n=this._search(e);n>=0;n--){const e=this._timeline[n];if(e.state===t)return e}}getNextState(t,e){const n=this._search(e);if(-1!==n)for(let e=n;e0,"timeConstant must be a number greater than 0");const i=this.toSeconds(e);return this._assertRange(r),Zr(isFinite(r)&&isFinite(i),`Invalid argument(s) to setTargetAtTime: ${JSON.stringify(t)}, ${JSON.stringify(e)}`),this._events.add({constant:n,time:i,type:"setTargetAtTime",value:r}),this.log(this.units,"setTargetAtTime",t,i,n),this._param.setTargetAtTime(r,i,n),this}setValueCurveAtTime(t,e,n,r=1){n=this.toSeconds(n),e=this.toSeconds(e);const i=this._fromType(t[0])*r;this.setValueAtTime(this._toType(i),e);const s=n/(t.length-1);for(let n=1;n{"cancelScheduledValues"===e.type?t.cancelScheduledValues(e.time):"setTargetAtTime"===e.type?t.setTargetAtTime(e.value,e.time,e.constant):t[e.type](e.value,e.time)}),this}setParam(t){Zr(this._swappable,"The Param must be assigned as 'swappable' in the constructor");const e=this.input;return e.disconnect(this._param),this.apply(t),this._param=t,e.connect(this._param),this}dispose(){return super.dispose(),this._events.dispose(),this}get defaultValue(){return this._toType(this._param.defaultValue)}_exponentialApproach(t,e,n,r,i){return n+(e-n)*Math.exp(-(i-t)/r)}_linearInterpolate(t,e,n,r,i){return e+(i-t)/(n-t)*(r-e)}_exponentialInterpolate(t,e,n,r,i){return e*Math.pow(r/e,(i-t)/(n-t))}}class vs extends gs{constructor(){super(...arguments),this.name="ToneAudioNode",this._internalChannels=[]}get numberOfInputs(){return oi(this.input)?wi(this.input)||this.input instanceof ys?1:this.input.numberOfInputs:0}get numberOfOutputs(){return oi(this.output)?this.output.numberOfOutputs:0}_isAudioNode(t){return oi(t)&&(t instanceof vs||xi(t))}_getInternalNodes(){const t=this._internalChannels.slice(0);return this._isAudioNode(this.input)&&t.push(this.input),this._isAudioNode(this.output)&&this.input!==this.output&&t.push(this.output),t}_setChannelProperties(t){this._getInternalNodes().forEach(e=>{e.channelCount=t.channelCount,e.channelCountMode=t.channelCountMode,e.channelInterpretation=t.channelInterpretation})}_getChannelProperties(){const t=this._getInternalNodes();Zr(t.length>0,"ToneAudioNode does not have any internal nodes");const e=t[0];return{channelCount:e.channelCount,channelCountMode:e.channelCountMode,channelInterpretation:e.channelInterpretation}}get channelCount(){return this._getChannelProperties().channelCount}set channelCount(t){const e=this._getChannelProperties();this._setChannelProperties(Object.assign(e,{channelCount:t}))}get channelCountMode(){return this._getChannelProperties().channelCountMode}set channelCountMode(t){const e=this._getChannelProperties();this._setChannelProperties(Object.assign(e,{channelCountMode:t}))}get channelInterpretation(){return this._getChannelProperties().channelInterpretation}set channelInterpretation(t){const e=this._getChannelProperties();this._setChannelProperties(Object.assign(e,{channelInterpretation:t}))}connect(t,e=0,n=0){return xs(this,t,e,n),this}toDestination(){return this.connect(this.context.destination),this}toMaster(){return si("toMaster() has been renamed toDestination()"),this.toDestination()}disconnect(t,e=0,n=0){return _s(this,t,e,n),this}chain(...t){return ws(this,...t),this}fan(...t){return t.forEach(t=>this.connect(t)),this}dispose(){return super.dispose(),oi(this.input)&&(this.input instanceof vs?this.input.dispose():xi(this.input)&&this.input.disconnect()),oi(this.output)&&(this.output instanceof vs?this.output.dispose():xi(this.output)&&this.output.disconnect()),this._internalChannels=[],this}}function ws(...t){const e=t.shift();t.reduce((t,e)=>(t instanceof vs?t.connect(e):xi(t)&&xs(t,e),e),e)}function xs(t,e,n=0,r=0){for(Zr(oi(t),"Cannot connect from undefined node"),Zr(oi(e),"Cannot connect to undefined node"),(e instanceof vs||xi(e))&&Zr(e.numberOfInputs>0,"Cannot connect to node with no inputs"),Zr(t.numberOfOutputs>0,"Cannot connect from node with no outputs");e instanceof vs||e instanceof ys;)oi(e.input)&&(e=e.input);for(;t instanceof vs;)oi(t.output)&&(t=t.output);wi(e)?t.connect(e,n):t.connect(e,n,r)}function _s(t,e,n=0,r=0){if(oi(e))for(;e instanceof vs;)e=e.input;for(;!xi(t);)oi(t.output)&&(t=t.output);wi(e)?t.disconnect(e,n):xi(e)?t.disconnect(e,n,r):t.disconnect()}class Os extends vs{constructor(){super(Ci(Os.getDefaults(),arguments,["gain","units"])),this.name="Gain",this._gainNode=this.context.createGain(),this.input=this._gainNode,this.output=this._gainNode;const t=Ci(Os.getDefaults(),arguments,["gain","units"]);this.gain=new ys({context:this.context,convert:t.convert,param:this._gainNode.gain,units:t.units,value:t.gain,minValue:t.minValue,maxValue:t.maxValue}),Ui(this,"gain")}static getDefaults(){return Object.assign(vs.getDefaults(),{convert:!0,gain:1,units:"gain"})}dispose(){return super.dispose(),this._gainNode.disconnect(),this.gain.dispose(),this}}class Ss extends vs{constructor(t){super(t),this.onended=Gi,this._startTime=-1,this._stopTime=-1,this._timeout=-1,this.output=new Os({context:this.context,gain:0}),this._gainNode=this.output,this.getStateAtTime=function(t){const e=this.toSeconds(t);return-1!==this._startTime&&e>=this._startTime&&(-1===this._stopTime||e<=this._stopTime)?"started":"stopped"},this._fadeIn=t.fadeIn,this._fadeOut=t.fadeOut,this._curve=t.curve,this.onended=t.onended}static getDefaults(){return Object.assign(vs.getDefaults(),{curve:"linear",fadeIn:0,fadeOut:0,onended:Gi})}_startGain(t,e=1){Zr(-1===this._startTime,"Source cannot be started more than once");const n=this.toSeconds(this._fadeIn);return this._startTime=t+n,this._startTime=Math.max(this._startTime,this.context.currentTime),n>0?(this._gainNode.gain.setValueAtTime(0,t),"linear"===this._curve?this._gainNode.gain.linearRampToValueAtTime(e,t+n):this._gainNode.gain.exponentialApproachValueAtTime(e,t,n)):this._gainNode.gain.setValueAtTime(e,t),this}stop(t){return this.log("stop",t),this._stopGain(this.toSeconds(t)),this}_stopGain(t){Zr(-1!==this._startTime,"'start' must be called before 'stop'"),this.cancelStop();const e=this.toSeconds(this._fadeOut);return this._stopTime=this.toSeconds(t)+e,this._stopTime=Math.max(this._stopTime,this.context.currentTime),e>0?"linear"===this._curve?this._gainNode.gain.linearRampTo(0,e,t):this._gainNode.gain.targetRampTo(0,e,t):(this._gainNode.gain.cancelAndHoldAtTime(t),this._gainNode.gain.setValueAtTime(0,t)),this.context.clearTimeout(this._timeout),this._timeout=this.context.setTimeout(()=>{const t="exponential"===this._curve?2*e:0;this._stopSource(this.now()+t),this._onended()},this._stopTime-this.context.currentTime),this}_onended(){if(this.onended!==Gi&&(this.onended(this),this.onended=Gi,!this.context.isOffline)){const t=()=>this.dispose();void 0!==window.requestIdleCallback?window.requestIdleCallback(t):setTimeout(t,1e3)}}get state(){return this.getStateAtTime(this.now())}cancelStop(){return this.log("cancelStop"),Zr(-1!==this._startTime,"Source is not started"),this._gainNode.gain.cancelScheduledValues(this._startTime+this.sampleTime),this.context.clearTimeout(this._timeout),this._stopTime=-1,this}dispose(){return super.dispose(),this._gainNode.disconnect(),this}}class ks extends Ss{constructor(){super(Ci(ks.getDefaults(),arguments,["offset"])),this.name="ToneConstantSource",this._source=this.context.createConstantSource();const t=Ci(ks.getDefaults(),arguments,["offset"]);xs(this._source,this._gainNode),this.offset=new ys({context:this.context,convert:t.convert,param:this._source.offset,units:t.units,value:t.offset,minValue:t.minValue,maxValue:t.maxValue})}static getDefaults(){return Object.assign(Ss.getDefaults(),{convert:!0,offset:1,units:"number"})}start(t){const e=this.toSeconds(t);return this.log("start",e),this._startGain(e),this._source.start(e),this}_stopSource(t){this._source.stop(t)}dispose(){return super.dispose(),"started"===this.state&&this.stop(),this._source.disconnect(),this.offset.dispose(),this}}class Ts extends vs{constructor(){super(Ci(Ts.getDefaults(),arguments,["value","units"])),this.name="Signal",this.override=!0;const t=Ci(Ts.getDefaults(),arguments,["value","units"]);this.output=this._constantSource=new ks({context:this.context,convert:t.convert,offset:t.value,units:t.units,minValue:t.minValue,maxValue:t.maxValue}),this._constantSource.start(0),this.input=this._param=this._constantSource.offset}static getDefaults(){return Object.assign(vs.getDefaults(),{convert:!0,units:"number",value:0})}connect(t,e=0,n=0){return Cs(this,t,e,n),this}dispose(){return super.dispose(),this._param.dispose(),this._constantSource.dispose(),this}setValueAtTime(t,e){return this._param.setValueAtTime(t,e),this}getValueAtTime(t){return this._param.getValueAtTime(t)}setRampPoint(t){return this._param.setRampPoint(t),this}linearRampToValueAtTime(t,e){return this._param.linearRampToValueAtTime(t,e),this}exponentialRampToValueAtTime(t,e){return this._param.exponentialRampToValueAtTime(t,e),this}exponentialRampTo(t,e,n){return this._param.exponentialRampTo(t,e,n),this}linearRampTo(t,e,n){return this._param.linearRampTo(t,e,n),this}targetRampTo(t,e,n){return this._param.targetRampTo(t,e,n),this}exponentialApproachValueAtTime(t,e,n){return this._param.exponentialApproachValueAtTime(t,e,n),this}setTargetAtTime(t,e,n){return this._param.setTargetAtTime(t,e,n),this}setValueCurveAtTime(t,e,n,r){return this._param.setValueCurveAtTime(t,e,n,r),this}cancelScheduledValues(t){return this._param.cancelScheduledValues(t),this}cancelAndHoldAtTime(t){return this._param.cancelAndHoldAtTime(t),this}rampTo(t,e,n){return this._param.rampTo(t,e,n),this}get value(){return this._param.value}set value(t){this._param.value=t}get convert(){return this._param.convert}set convert(t){this._param.convert=t}get units(){return this._param.units}get overridden(){return this._param.overridden}set overridden(t){this._param.overridden=t}get maxValue(){return this._param.maxValue}get minValue(){return this._param.minValue}apply(t){return this._param.apply(t),this}}function Cs(t,e,n,r){(e instanceof ys||wi(e)||e instanceof Ts&&e.override)&&(e.cancelScheduledValues(0),e.setValueAtTime(0,0),e instanceof Ts&&(e.overridden=!0)),xs(t,e,n,r)}class As extends ys{constructor(){super(Ci(As.getDefaults(),arguments,["value"])),this.name="TickParam",this._events=new Pi(1/0),this._multiplier=1;const t=Ci(As.getDefaults(),arguments,["value"]);this._multiplier=t.multiplier,this._events.cancel(0),this._events.add({ticks:0,time:0,type:"setValueAtTime",value:this._fromType(t.value)}),this.setValueAtTime(t.value,0)}static getDefaults(){return Object.assign(ys.getDefaults(),{multiplier:1,units:"hertz",value:1})}setTargetAtTime(t,e,n){e=this.toSeconds(e),this.setRampPoint(e);const r=this._fromType(t),i=this._events.get(e),s=Math.round(Math.max(1/n,1));for(let t=0;t<=s;t++){const s=n*t+e,a=this._exponentialApproach(i.time,i.value,r,n,s);this.linearRampToValueAtTime(this._toType(a),s)}return this}setValueAtTime(t,e){const n=this.toSeconds(e);super.setValueAtTime(t,e);const r=this._events.get(n),i=this._events.previousEvent(r),s=this._getTicksUntilEvent(i,n);return r.ticks=Math.max(s,0),this}linearRampToValueAtTime(t,e){const n=this.toSeconds(e);super.linearRampToValueAtTime(t,e);const r=this._events.get(n),i=this._events.previousEvent(r),s=this._getTicksUntilEvent(i,n);return r.ticks=Math.max(s,0),this}exponentialRampToValueAtTime(t,e){e=this.toSeconds(e);const n=this._fromType(t),r=this._events.get(e),i=Math.round(Math.max(10*(e-r.time),1)),s=(e-r.time)/i;for(let t=0;t<=i;t++){const i=s*t+r.time,a=this._exponentialInterpolate(r.time,r.value,e,n,i);this.linearRampToValueAtTime(this._toType(a),i)}return this}_getTicksUntilEvent(t,e){if(null===t)t={ticks:0,time:0,type:"setValueAtTime",value:0};else if(ai(t.ticks)){const e=this._events.previousEvent(t);t.ticks=this._getTicksUntilEvent(e,t.time)}const n=this._fromType(this.getValueAtTime(t.time));let r=this._fromType(this.getValueAtTime(e));const i=this._events.get(e);return i&&i.time===e&&"setValueAtTime"===i.type&&(r=this._fromType(this.getValueAtTime(e-this.sampleTime))),.5*(e-t.time)*(n+r)+t.ticks}getTicksAtTime(t){const e=this.toSeconds(t),n=this._events.get(e);return Math.max(this._getTicksUntilEvent(n,e),0)}getDurationOfTicks(t,e){const n=this.toSeconds(e),r=this.getTicksAtTime(e);return this.getTimeOfTick(r+t)-n}getTimeOfTick(t){const e=this._events.get(t,"ticks"),n=this._events.getAfter(t,"ticks");if(e&&e.ticks===t)return e.time;if(e&&n&&"linearRampToValueAtTime"===n.type&&e.value!==n.value){const r=this._fromType(this.getValueAtTime(e.time)),i=(this._fromType(this.getValueAtTime(n.time))-r)/(n.time-e.time),s=Math.sqrt(Math.pow(r,2)-2*i*(e.ticks-t)),a=(-r+s)/i,o=(-r-s)/i;return(a>0?a:o)+e.time}return e?0===e.value?1/0:e.time+(t-e.ticks)/e.value:t/this._initialValue}ticksToTime(t,e){return this.getDurationOfTicks(t,e)}timeToTicks(t,e){const n=this.toSeconds(e),r=this.toSeconds(t),i=this.getTicksAtTime(n);return this.getTicksAtTime(n+r)-i}_fromType(t){return"bpm"===this.units&&this.multiplier?1/(60/t/this.multiplier):super._fromType(t)}_toType(t){return"bpm"===this.units&&this.multiplier?t/this.multiplier*60:super._toType(t)}get multiplier(){return this._multiplier}set multiplier(t){const e=this.value;this._multiplier=t,this.cancelScheduledValues(0),this.setValueAtTime(e,0)}}class Ns extends Ts{constructor(){super(Ci(Ns.getDefaults(),arguments,["value"])),this.name="TickSignal";const t=Ci(Ns.getDefaults(),arguments,["value"]);this.input=this._param=new As({context:this.context,convert:t.convert,multiplier:t.multiplier,param:this._constantSource.offset,units:t.units,value:t.value})}static getDefaults(){return Object.assign(Ts.getDefaults(),{multiplier:1,units:"hertz",value:1})}ticksToTime(t,e){return this._param.ticksToTime(t,e)}timeToTicks(t,e){return this._param.timeToTicks(t,e)}getTimeOfTick(t){return this._param.getTimeOfTick(t)}getDurationOfTicks(t,e){return this._param.getDurationOfTicks(t,e)}getTicksAtTime(t){return this._param.getTicksAtTime(t)}get multiplier(){return this._param.multiplier}set multiplier(t){this._param.multiplier=t}dispose(){return super.dispose(),this._param.dispose(),this}}class Is extends gs{constructor(){super(Ci(Is.getDefaults(),arguments,["frequency"])),this.name="TickSource",this._state=new bs,this._tickOffset=new Pi;const t=Ci(Is.getDefaults(),arguments,["frequency"]);this.frequency=new Ns({context:this.context,units:t.units,value:t.frequency}),Ui(this,"frequency"),this._state.setStateAtTime("stopped",0),this.setTicksAtTime(0,0)}static getDefaults(){return Object.assign({frequency:1,units:"hertz"},gs.getDefaults())}get state(){return this.getStateAtTime(this.now())}start(t,e){const n=this.toSeconds(t);return"started"!==this._state.getValueAtTime(n)&&(this._state.setStateAtTime("started",n),oi(e)&&this.setTicksAtTime(e,n)),this}stop(t){const e=this.toSeconds(t);if("stopped"===this._state.getValueAtTime(e)){const t=this._state.get(e);t&&t.time>0&&(this._tickOffset.cancel(t.time),this._state.cancel(t.time))}return this._state.cancel(e),this._state.setStateAtTime("stopped",e),this.setTicksAtTime(0,e),this}pause(t){const e=this.toSeconds(t);return"started"===this._state.getValueAtTime(e)&&this._state.setStateAtTime("paused",e),this}cancel(t){return t=this.toSeconds(t),this._state.cancel(t),this._tickOffset.cancel(t),this}getTicksAtTime(t){const e=this.toSeconds(t),n=this._state.getLastState("stopped",e),r={state:"paused",time:e};this._state.add(r);let i=n,s=0;return this._state.forEachBetween(n.time,e+this.sampleTime,t=>{let e=i.time;const n=this._tickOffset.get(t.time);n&&n.time>=i.time&&(s=n.ticks,e=n.time),"started"===i.state&&"started"!==t.state&&(s+=this.frequency.getTicksAtTime(t.time)-this.frequency.getTicksAtTime(e)),i=t}),this._state.remove(r),s}get ticks(){return this.getTicksAtTime(this.now())}set ticks(t){this.setTicksAtTime(t,this.now())}get seconds(){return this.getSecondsAtTime(this.now())}set seconds(t){const e=this.now(),n=this.frequency.timeToTicks(t,e);this.setTicksAtTime(n,e)}getSecondsAtTime(t){t=this.toSeconds(t);const e=this._state.getLastState("stopped",t),n={state:"paused",time:t};this._state.add(n);let r=e,i=0;return this._state.forEachBetween(e.time,t+this.sampleTime,t=>{let e=r.time;const n=this._tickOffset.get(t.time);n&&n.time>=r.time&&(i=n.seconds,e=n.time),"started"===r.state&&"started"!==t.state&&(i+=t.time-e),r=t}),this._state.remove(n),i}setTicksAtTime(t,e){return e=this.toSeconds(e),this._tickOffset.cancel(e),this._tickOffset.add({seconds:this.frequency.getDurationOfTicks(t,e),ticks:t,time:e}),this}getStateAtTime(t){return t=this.toSeconds(t),this._state.getValueAtTime(t)}getTimeOfTick(t,e=this.now()){const n=this._tickOffset.get(e),r=this._state.get(e),i=Math.max(n.time,r.time),s=this.frequency.getTicksAtTime(i)+t-n.ticks;return this.frequency.getTimeOfTick(s)}forEachTickBetween(t,e,n){let r=this._state.get(t);this._state.forEachBetween(t,e,e=>{r&&"started"===r.state&&"started"!==e.state&&this.forEachTickBetween(Math.max(r.time,t),e.time-this.sampleTime,n),r=e});let i=null;if(r&&"started"===r.state){const s=Math.max(r.time,t),a=this.frequency.getTicksAtTime(s),o=a-this.frequency.getTicksAtTime(r.time);let u=Math.ceil(o)-o;u=Di(u,1)?0:u;let c=this.frequency.getTimeOfTick(a+u);for(;c{switch(t.state){case"started":const e=this._tickSource.getTicksAtTime(t.time);this.emit("start",t.time,e);break;case"stopped":0!==t.time&&this.emit("stop",t.time);break;case"paused":this.emit("pause",t.time)}}),this._tickSource.forEachTickBetween(t,e,(t,e)=>{this.callback(t,e)}))}getStateAtTime(t){const e=this.toSeconds(t);return this._state.getValueAtTime(e)}dispose(){return super.dispose(),this.context.off("tick",this._boundLoop),this._tickSource.dispose(),this._state.dispose(),this}}Bi.mixin(Es);class js extends vs{constructor(){super(Ci(js.getDefaults(),arguments,["delayTime","maxDelay"])),this.name="Delay";const t=Ci(js.getDefaults(),arguments,["delayTime","maxDelay"]),e=this.toSeconds(t.maxDelay);this._maxDelay=Math.max(e,this.toSeconds(t.delayTime)),this._delayNode=this.input=this.output=this.context.createDelay(e),this.delayTime=new ys({context:this.context,param:this._delayNode.delayTime,units:"time",value:t.delayTime,minValue:0,maxValue:this.maxDelay}),Ui(this,"delayTime")}static getDefaults(){return Object.assign(vs.getDefaults(),{delayTime:0,maxDelay:1})}get maxDelay(){return this._maxDelay}dispose(){return super.dispose(),this._delayNode.disconnect(),this.delayTime.dispose(),this}}function Ms(t,e,n=2,r=Yi().sampleRate){return yi(this,void 0,void 0,(function*(){const i=Yi(),s=new Ki(n,e,r);Ji(s),yield t(s);const a=s.render();Ji(i);const o=yield a;return new Hi(o)}))}class Ds extends Ii{constructor(){super(),this.name="ToneAudioBuffers",this._buffers=new Map,this._loadingCount=0;const t=Ci(Ds.getDefaults(),arguments,["urls","onload","baseUrl"],"urls");this.baseUrl=t.baseUrl,Object.keys(t.urls).forEach(e=>{this._loadingCount++;const n=t.urls[e];this.add(e,n,this._bufferLoaded.bind(this,t.onload),t.onerror)})}static getDefaults(){return{baseUrl:"",onerror:Gi,onload:Gi,urls:{}}}has(t){return this._buffers.has(t.toString())}get(t){return Zr(this.has(t),"ToneAudioBuffers has no buffer named: "+t),this._buffers.get(t.toString())}_bufferLoaded(t){this._loadingCount--,0===this._loadingCount&&t&&t()}get loaded(){return Array.from(this._buffers).every(([t,e])=>e.loaded)}add(t,e,n=Gi,r=Gi){return pi(e)?this._buffers.set(t.toString(),new Hi(this.baseUrl+e,n,r)):this._buffers.set(t.toString(),new Hi(e,n,r)),this}dispose(){return super.dispose(),this._buffers.forEach(t=>t.dispose()),this._buffers.clear(),this}}class Rs extends ls{constructor(){super(...arguments),this.name="MidiClass",this.defaultUnits="midi"}_frequencyToUnits(t){return is(super._frequencyToUnits(t))}_ticksToUnits(t){return is(super._ticksToUnits(t))}_beatsToUnits(t){return is(super._beatsToUnits(t))}_secondsToUnits(t){return is(super._secondsToUnits(t))}toMidi(){return this.valueOf()}toFrequency(){return as(this.toMidi())}transpose(t){return new Rs(this.context,this.toMidi()+t)}}function Ps(t,e){return new Rs(Yi(),t,e)}class Fs extends fs{constructor(){super(...arguments),this.name="Ticks",this.defaultUnits="i"}_now(){return this.context.transport.ticks}_beatsToUnits(t){return this._getPPQ()*t}_secondsToUnits(t){return Math.floor(t/(60/this._getBpm())*this._getPPQ())}_ticksToUnits(t){return t}toTicks(){return this.valueOf()}toSeconds(){return this.valueOf()/this._getPPQ()*(60/this._getBpm())}}function zs(t,e){return new Fs(Yi(),t,e)}class Ls extends gs{constructor(){super(...arguments),this.name="Draw",this.expiration=.25,this.anticipation=.008,this._events=new Pi,this._boundDrawLoop=this._drawLoop.bind(this),this._animationFrame=-1}schedule(t,e){return this._events.add({callback:t,time:this.toSeconds(e)}),1===this._events.length&&(this._animationFrame=requestAnimationFrame(this._boundDrawLoop)),this}cancel(t){return this._events.cancel(this.toSeconds(t)),this}_drawLoop(){const t=this.context.currentTime;for(;this._events.length&&this._events.peek().time-this.anticipation<=t;){const e=this._events.shift();e&&t-e.time<=this.expiration&&e.callback()}this._events.length>0&&(this._animationFrame=requestAnimationFrame(this._boundDrawLoop))}dispose(){return super.dispose(),this._events.dispose(),cancelAnimationFrame(this._animationFrame),this}}zi(t=>{t.draw=new Ls({context:t})}),$i(t=>{t.draw.dispose()});class $s extends Ii{constructor(){super(...arguments),this.name="IntervalTimeline",this._root=null,this._length=0}add(t){Zr(oi(t.time),"Events must have a time property"),Zr(oi(t.duration),"Events must have a duration parameter"),t.time=t.time.valueOf();let e=new Bs(t.time,t.time+t.duration,t);for(null===this._root?this._root=e:this._root.insert(e),this._length++;null!==e;)e.updateHeight(),e.updateMax(),this._rebalance(e),e=e.parent;return this}remove(t){if(null!==this._root){const e=[];this._root.search(t.time,e);for(const n of e)if(n.event===t){this._removeNode(n),this._length--;break}}return this}get length(){return this._length}cancel(t){return this.forEachFrom(t,t=>this.remove(t)),this}_setRoot(t){this._root=t,null!==this._root&&(this._root.parent=null)}_replaceNodeInParent(t,e){null!==t.parent?(t.isLeftChild()?t.parent.left=e:t.parent.right=e,this._rebalance(t.parent)):this._setRoot(e)}_removeNode(t){if(null===t.left&&null===t.right)this._replaceNodeInParent(t,null);else if(null===t.right)this._replaceNodeInParent(t,t.left);else if(null===t.left)this._replaceNodeInParent(t,t.right);else{let e,n=null;if(t.getBalance()>0)if(null===t.left.right)e=t.left,e.right=t.right,n=e;else{for(e=t.left.right;null!==e.right;)e=e.right;e.parent&&(e.parent.right=e.left,n=e.parent,e.left=t.left,e.right=t.right)}else if(null===t.right.left)e=t.right,e.left=t.left,n=e;else{for(e=t.right.left;null!==e.left;)e=e.left;e.parent&&(e.parent.left=e.right,n=e.parent,e.left=t.left,e.right=t.right)}null!==t.parent?t.isLeftChild()?t.parent.left=e:t.parent.right=e:this._setRoot(e),n&&this._rebalance(n)}t.dispose()}_rotateLeft(t){const e=t.parent,n=t.isLeftChild(),r=t.right;r&&(t.right=r.left,r.left=t),null!==e?n?e.left=r:e.right=r:this._setRoot(r)}_rotateRight(t){const e=t.parent,n=t.isLeftChild(),r=t.left;r&&(t.left=r.right,r.right=t),null!==e?n?e.left=r:e.right=r:this._setRoot(r)}_rebalance(t){const e=t.getBalance();e>1&&t.left?t.left.getBalance()<0?this._rotateLeft(t.left):this._rotateRight(t):e<-1&&t.right&&(t.right.getBalance()>0?this._rotateRight(t.right):this._rotateLeft(t))}get(t){if(null!==this._root){const e=[];if(this._root.search(t,e),e.length>0){let t=e[0];for(let n=1;nt.low&&(t=e[n]);return t.event}}return null}forEach(t){if(null!==this._root){const e=[];this._root.traverse(t=>e.push(t)),e.forEach(e=>{e.event&&t(e.event)})}return this}forEachAtTime(t,e){if(null!==this._root){const n=[];this._root.search(t,n),n.forEach(t=>{t.event&&e(t.event)})}return this}forEachFrom(t,e){if(null!==this._root){const n=[];this._root.searchAfter(t,n),n.forEach(t=>{t.event&&e(t.event)})}return this}dispose(){return super.dispose(),null!==this._root&&this._root.traverse(t=>t.dispose()),this._root=null,this}}class Bs{constructor(t,e,n){this._left=null,this._right=null,this.parent=null,this.height=0,this.event=n,this.low=t,this.high=e,this.max=this.high}insert(t){t.low<=this.low?null===this.left?this.left=t:this.left.insert(t):null===this.right?this.right=t:this.right.insert(t)}search(t,e){t>this.max||(null!==this.left&&this.left.search(t,e),this.low<=t&&this.high>t&&e.push(this),this.low>t||null!==this.right&&this.right.search(t,e))}searchAfter(t,e){this.low>=t&&(e.push(this),null!==this.left&&this.left.searchAfter(t,e)),null!==this.right&&this.right.searchAfter(t,e)}traverse(t){t(this),null!==this.left&&this.left.traverse(t),null!==this.right&&this.right.traverse(t)}updateHeight(){null!==this.left&&null!==this.right?this.height=Math.max(this.left.height,this.right.height)+1:null!==this.right?this.height=this.right.height+1:null!==this.left?this.height=this.left.height+1:this.height=0}updateMax(){this.max=this.high,null!==this.left&&(this.max=Math.max(this.max,this.left.max)),null!==this.right&&(this.max=Math.max(this.max,this.right.max))}getBalance(){let t=0;return null!==this.left&&null!==this.right?t=this.left.height-this.right.height:null!==this.left?t=this.left.height+1:null!==this.right&&(t=-(this.right.height+1)),t}isLeftChild(){return null!==this.parent&&this.parent.left===this}get left(){return this._left}set left(t){this._left=t,null!==t&&(t.parent=this),this.updateHeight(),this.updateMax()}get right(){return this._right}set right(t){this._right=t,null!==t&&(t.parent=this),this.updateHeight(),this.updateMax()}dispose(){this.parent=null,this._left=null,this._right=null,this.event=null}}class qs extends vs{constructor(){super(Ci(qs.getDefaults(),arguments,["volume"])),this.name="Volume";const t=Ci(qs.getDefaults(),arguments,["volume"]);this.input=this.output=new Os({context:this.context,gain:t.volume,units:"decibels"}),this.volume=this.output.gain,Ui(this,"volume"),this._unmutedVolume=t.volume,this.mute=t.mute}static getDefaults(){return Object.assign(vs.getDefaults(),{mute:!1,volume:0})}get mute(){return this.volume.value===-1/0}set mute(t){!this.mute&&t?(this._unmutedVolume=this.volume.value,this.volume.value=-1/0):this.mute&&!t&&(this.volume.value=this._unmutedVolume)}dispose(){return super.dispose(),this.input.dispose(),this.volume.dispose(),this}}class Vs extends vs{constructor(){super(Ci(Vs.getDefaults(),arguments)),this.name="Destination",this.input=new qs({context:this.context}),this.output=new Os({context:this.context}),this.volume=this.input.volume;const t=Ci(Vs.getDefaults(),arguments);ws(this.input,this.output,this.context.rawContext.destination),this.mute=t.mute,this._internalChannels=[this.input,this.context.rawContext.destination,this.output]}static getDefaults(){return Object.assign(vs.getDefaults(),{mute:!1,volume:0})}get mute(){return this.input.mute}set mute(t){this.input.mute=t}chain(...t){return this.input.disconnect(),t.unshift(this.input),t.push(this.output),ws(...t),this}get maxChannelCount(){return this.context.rawContext.destination.maxChannelCount}dispose(){return super.dispose(),this.volume.dispose(),this}}zi(t=>{t.destination=new Vs({context:t})}),$i(t=>{t.destination.dispose()});class Us extends Ii{constructor(t){super(),this.name="TimelineValue",this._timeline=new Pi({memory:10}),this._initialValue=t}set(t,e){return this._timeline.add({value:t,time:e}),this}get(t){const e=this._timeline.get(t);return e?e.value:this._initialValue}}class Ws{constructor(t,e){this.id=Ws._eventId++;const n=Object.assign(Ws.getDefaults(),e);this.transport=t,this.callback=n.callback,this._once=n.once,this.time=n.time}static getDefaults(){return{callback:Gi,once:!1,time:0}}invoke(t){this.callback&&(this.callback(t),this._once&&this.transport.clear(this.id))}dispose(){return this.callback=void 0,this}}Ws._eventId=0;class Gs extends Ws{constructor(t,e){super(t,e),this._currentId=-1,this._nextId=-1,this._nextTick=this.time,this._boundRestart=this._restart.bind(this);const n=Object.assign(Gs.getDefaults(),e);this.duration=new Fs(t.context,n.duration).valueOf(),this._interval=new Fs(t.context,n.interval).valueOf(),this._nextTick=n.time,this.transport.on("start",this._boundRestart),this.transport.on("loopStart",this._boundRestart),this.context=this.transport.context,this._restart()}static getDefaults(){return Object.assign({},Ws.getDefaults(),{duration:1/0,interval:1,once:!1})}invoke(t){this._createEvents(t),super.invoke(t)}_createEvents(t){const e=this.transport.getTicksAtTime(t);e>=this.time&&e>=this._nextTick&&this._nextTick+this._intervalthis.time&&(this._nextTick=this.time+Math.ceil((e-this.time)/this._interval)*this._interval),this._currentId=this.transport.scheduleOnce(this.invoke.bind(this),new Fs(this.context,this._nextTick).toSeconds()),this._nextTick+=this._interval,this._nextId=this.transport.scheduleOnce(this.invoke.bind(this),new Fs(this.context,this._nextTick).toSeconds())}dispose(){return super.dispose(),this.transport.clear(this._currentId),this.transport.clear(this._nextId),this.transport.off("start",this._boundRestart),this.transport.off("loopStart",this._boundRestart),this}}class Hs extends gs{constructor(){super(Ci(Hs.getDefaults(),arguments)),this.name="Transport",this._loop=new Us(!1),this._loopStart=0,this._loopEnd=0,this._scheduledEvents={},this._timeline=new Pi,this._repeatedEvents=new $s,this._syncedSignals=[],this._swingAmount=0;const t=Ci(Hs.getDefaults(),arguments);this._ppq=t.ppq,this._clock=new Es({callback:this._processTick.bind(this),context:this.context,frequency:0,units:"bpm"}),this._bindClockEvents(),this.bpm=this._clock.frequency,this._clock.frequency.multiplier=t.ppq,this.bpm.setValueAtTime(t.bpm,0),Ui(this,"bpm"),this._timeSignature=t.timeSignature,this._swingTicks=t.ppq/2}static getDefaults(){return Object.assign(gs.getDefaults(),{bpm:120,loopEnd:"4m",loopStart:0,ppq:192,swing:0,swingSubdivision:"8n",timeSignature:4})}_processTick(t,e){if(this._swingAmount>0&&e%this._ppq!=0&&e%(2*this._swingTicks)!=0){const n=e%(2*this._swingTicks)/(2*this._swingTicks),r=Math.sin(n*Math.PI)*this._swingAmount;t+=new Fs(this.context,2*this._swingTicks/3).toSeconds()*r}this._loop.get(t)&&e>=this._loopEnd&&(this.emit("loopEnd",t),this._clock.setTicksAtTime(this._loopStart,t),e=this._loopStart,this.emit("loopStart",t,this._clock.getSecondsAtTime(t)),this.emit("loop",t)),this._timeline.forEachAtTime(e,e=>e.invoke(t))}schedule(t,e){const n=new Ws(this,{callback:t,time:new fs(this.context,e).toTicks()});return this._addEvent(n,this._timeline)}scheduleRepeat(t,e,n,r=1/0){const i=new Gs(this,{callback:t,duration:new us(this.context,r).toTicks(),interval:new us(this.context,e).toTicks(),time:new fs(this.context,n).toTicks()});return this._addEvent(i,this._repeatedEvents)}scheduleOnce(t,e){const n=new Ws(this,{callback:t,once:!0,time:new fs(this.context,e).toTicks()});return this._addEvent(n,this._timeline)}clear(t){if(this._scheduledEvents.hasOwnProperty(t)){const e=this._scheduledEvents[t.toString()];e.timeline.remove(e.event),e.event.dispose(),delete this._scheduledEvents[t.toString()]}return this}_addEvent(t,e){return this._scheduledEvents[t.id.toString()]={event:t,timeline:e},e.add(t),t.id}cancel(t=0){const e=this.toTicks(t);return this._timeline.forEachFrom(e,t=>this.clear(t.id)),this._repeatedEvents.forEachFrom(e,t=>this.clear(t.id)),this}_bindClockEvents(){this._clock.on("start",(t,e)=>{e=new Fs(this.context,e).toSeconds(),this.emit("start",t,e)}),this._clock.on("stop",t=>{this.emit("stop",t)}),this._clock.on("pause",t=>{this.emit("pause",t)})}get state(){return this._clock.getStateAtTime(this.now())}start(t,e){let n;return oi(e)&&(n=this.toTicks(e)),this._clock.start(t,n),this}stop(t){return this._clock.stop(t),this}pause(t){return this._clock.pause(t),this}toggle(t){return t=this.toSeconds(t),"started"!==this._clock.getStateAtTime(t)?this.start(t):this.stop(t),this}get timeSignature(){return this._timeSignature}set timeSignature(t){di(t)&&(t=t[0]/t[1]*4),this._timeSignature=t}get loopStart(){return new us(this.context,this._loopStart,"i").toSeconds()}set loopStart(t){this._loopStart=this.toTicks(t)}get loopEnd(){return new us(this.context,this._loopEnd,"i").toSeconds()}set loopEnd(t){this._loopEnd=this.toTicks(t)}get loop(){return this._loop.get(this.now())}set loop(t){this._loop.set(t,this.now())}setLoopPoints(t,e){return this.loopStart=t,this.loopEnd=e,this}get swing(){return this._swingAmount}set swing(t){this._swingAmount=t}get swingSubdivision(){return new Fs(this.context,this._swingTicks).toNotation()}set swingSubdivision(t){this._swingTicks=this.toTicks(t)}get position(){const t=this.now(),e=this._clock.getTicksAtTime(t);return new Fs(this.context,e).toBarsBeatsSixteenths()}set position(t){const e=this.toTicks(t);this.ticks=e}get seconds(){return this._clock.seconds}set seconds(t){const e=this.now(),n=this._clock.frequency.timeToTicks(t,e);this.ticks=n}get progress(){if(this.loop){const t=this.now();return(this._clock.getTicksAtTime(t)-this._loopStart)/(this._loopEnd-this._loopStart)}return 0}get ticks(){return this._clock.ticks}set ticks(t){if(this._clock.ticks!==t){const e=this.now();if("started"===this.state){const n=this._clock.getTicksAtTime(e),r=this._clock.getTimeOfTick(Math.ceil(n));this.emit("stop",r),this._clock.setTicksAtTime(t,r),this.emit("start",r,this._clock.getSecondsAtTime(r))}else this._clock.setTicksAtTime(t,e)}}getTicksAtTime(t){return Math.round(this._clock.getTicksAtTime(t))}getSecondsAtTime(t){return this._clock.getSecondsAtTime(t)}get PPQ(){return this._clock.frequency.multiplier}set PPQ(t){this._clock.frequency.multiplier=t}nextSubdivision(t){if(t=this.toTicks(t),"started"!==this.state)return 0;{const e=this.now(),n=t-this.getTicksAtTime(e)%t;return this._clock.nextTickTime(n,e)}}syncSignal(t,e){if(!e){const n=this.now();if(0!==t.getValueAtTime(n)){const r=1/(60/this.bpm.getValueAtTime(n)/this.PPQ);e=t.getValueAtTime(n)/r}else e=0}const n=new Os(e);return this.bpm.connect(n),n.connect(t._param),this._syncedSignals.push({initial:t.value,ratio:n,signal:t}),t.value=0,this}unsyncSignal(t){for(let e=this._syncedSignals.length-1;e>=0;e--){const n=this._syncedSignals[e];n.signal===t&&(n.ratio.dispose(),n.signal.value=n.initial,this._syncedSignals.splice(e,1))}return this}dispose(){return super.dispose(),this._clock.dispose(),Wi(this,"bpm"),this._timeline.dispose(),this._repeatedEvents.dispose(),this}}Bi.mixin(Hs),zi(t=>{t.transport=new Hs({context:t})}),$i(t=>{t.transport.dispose()});class Ks extends vs{constructor(t){super(t),this.input=void 0,this._state=new bs("stopped"),this._synced=!1,this._scheduled=[],this._syncedStart=Gi,this._syncedStop=Gi,this._state.memory=100,this._state.increasing=!0,this._volume=this.output=new qs({context:this.context,mute:t.mute,volume:t.volume}),this.volume=this._volume.volume,Ui(this,"volume"),this.onstop=t.onstop}static getDefaults(){return Object.assign(vs.getDefaults(),{mute:!1,onstop:Gi,volume:0})}get state(){return this._synced?"started"===this.context.transport.state?this._state.getValueAtTime(this.context.transport.seconds):"stopped":this._state.getValueAtTime(this.now())}get mute(){return this._volume.mute}set mute(t){this._volume.mute=t}_clampToCurrentTime(t){return this._synced?t:Math.max(t,this.context.currentTime)}start(t,e,n){let r=ai(t)&&this._synced?this.context.transport.seconds:this.toSeconds(t);if(r=this._clampToCurrentTime(r),this._synced||"started"!==this._state.getValueAtTime(r))if(this.log("start",r),this._state.setStateAtTime("started",r),this._synced){const t=this._state.get(r);t&&(t.offset=this.toSeconds(Ai(e,0)),t.duration=n?this.toSeconds(n):void 0);const i=this.context.transport.schedule(t=>{this._start(t,e,n)},r);this._scheduled.push(i),"started"===this.context.transport.state&&this.context.transport.getSecondsAtTime(this.immediate())>r&&this._syncedStart(this.now(),this.context.transport.seconds)}else ei(this.context),this._start(r,e,n);else Zr(Ei(r,this._state.get(r).time),"Start time must be strictly greater than previous start time"),this._state.cancel(r),this._state.setStateAtTime("started",r),this.log("restart",r),this.restart(r,e,n);return this}stop(t){let e=ai(t)&&this._synced?this.context.transport.seconds:this.toSeconds(t);if(e=this._clampToCurrentTime(e),"started"===this._state.getValueAtTime(e)||oi(this._state.getNextState("started",e))){if(this.log("stop",e),this._synced){const t=this.context.transport.schedule(this._stop.bind(this),e);this._scheduled.push(t)}else this._stop(e);this._state.cancel(e),this._state.setStateAtTime("stopped",e)}return this}restart(t,e,n){return t=this.toSeconds(t),"started"===this._state.getValueAtTime(t)&&(this._state.cancel(t),this._restart(t,e,n)),this}sync(){return this._synced||(this._synced=!0,this._syncedStart=(t,e)=>{if(e>0){const n=this._state.get(e);if(n&&"started"===n.state&&n.time!==e){const r=e-this.toSeconds(n.time);let i;n.duration&&(i=this.toSeconds(n.duration)-r),this._start(t,this.toSeconds(n.offset)+r,i)}}},this._syncedStop=t=>{const e=this.context.transport.getSecondsAtTime(Math.max(t-this.sampleTime,0));"started"===this._state.getValueAtTime(e)&&this._stop(t)},this.context.transport.on("start",this._syncedStart),this.context.transport.on("loopStart",this._syncedStart),this.context.transport.on("stop",this._syncedStop),this.context.transport.on("pause",this._syncedStop),this.context.transport.on("loopEnd",this._syncedStop)),this}unsync(){return this._synced&&(this.context.transport.off("stop",this._syncedStop),this.context.transport.off("pause",this._syncedStop),this.context.transport.off("loopEnd",this._syncedStop),this.context.transport.off("start",this._syncedStart),this.context.transport.off("loopStart",this._syncedStart)),this._synced=!1,this._scheduled.forEach(t=>this.context.transport.clear(t)),this._scheduled=[],this._state.cancel(0),this._stop(0),this}dispose(){return super.dispose(),this.onstop=Gi,this.unsync(),this._volume.dispose(),this._state.dispose(),this}}class Qs extends Ss{constructor(){super(Ci(Qs.getDefaults(),arguments,["url","onload"])),this.name="ToneBufferSource",this._source=this.context.createBufferSource(),this._internalChannels=[this._source],this._sourceStarted=!1,this._sourceStopped=!1;const t=Ci(Qs.getDefaults(),arguments,["url","onload"]);xs(this._source,this._gainNode),this._source.onended=()=>this._stopSource(),this.playbackRate=new ys({context:this.context,param:this._source.playbackRate,units:"positive",value:t.playbackRate}),this.loop=t.loop,this.loopStart=t.loopStart,this.loopEnd=t.loopEnd,this._buffer=new Hi(t.url,t.onload,t.onerror),this._internalChannels.push(this._source)}static getDefaults(){return Object.assign(Ss.getDefaults(),{url:new Hi,loop:!1,loopEnd:0,loopStart:0,onload:Gi,onerror:Gi,playbackRate:1})}get fadeIn(){return this._fadeIn}set fadeIn(t){this._fadeIn=t}get fadeOut(){return this._fadeOut}set fadeOut(t){this._fadeOut=t}get curve(){return this._curve}set curve(t){this._curve=t}start(t,e,n,r=1){Zr(this.buffer.loaded,"buffer is either not set or not loaded");const i=this.toSeconds(t);this._startGain(i,r),e=this.loop?Ai(e,this.loopStart):Ai(e,0);let s=Math.max(this.toSeconds(e),0);if(this.loop){const t=this.toSeconds(this.loopEnd)||this.buffer.duration,e=this.toSeconds(this.loopStart),n=t-e;ji(s,t)&&(s=(s-e)%n+e),Di(s,this.buffer.duration)&&(s=0)}if(this._source.buffer=this.buffer.get(),this._source.loopEnd=this.toSeconds(this.loopEnd)||this.buffer.duration,Mi(s,this.buffer.duration)&&(this._sourceStarted=!0,this._source.start(i,s)),oi(n)){let t=this.toSeconds(n);t=Math.max(t,0),this.stop(i+t)}return this}_stopSource(t){!this._sourceStopped&&this._sourceStarted&&(this._sourceStopped=!0,this._source.stop(this.toSeconds(t)),this._onended())}get loopStart(){return this._source.loopStart}set loopStart(t){this._source.loopStart=this.toSeconds(t)}get loopEnd(){return this._source.loopEnd}set loopEnd(t){this._source.loopEnd=this.toSeconds(t)}get buffer(){return this._buffer}set buffer(t){this._buffer.set(t)}get loop(){return this._source.loop}set loop(t){this._source.loop=t,this._sourceStarted&&this.cancelStop()}dispose(){return super.dispose(),this._source.onended=null,this._source.disconnect(),this._buffer.dispose(),this.playbackRate.dispose(),this}}class Xs extends Ks{constructor(){super(Ci(Xs.getDefaults(),arguments,["type"])),this.name="Noise",this._source=null;const t=Ci(Xs.getDefaults(),arguments,["type"]);this._playbackRate=t.playbackRate,this.type=t.type,this._fadeIn=t.fadeIn,this._fadeOut=t.fadeOut}static getDefaults(){return Object.assign(Ks.getDefaults(),{fadeIn:0,fadeOut:0,playbackRate:1,type:"white"})}get type(){return this._type}set type(t){if(Zr(t in Js,"Noise: invalid type: "+t),this._type!==t&&(this._type=t,"started"===this.state)){const t=this.now();this._stop(t),this._start(t)}}get playbackRate(){return this._playbackRate}set playbackRate(t){this._playbackRate=t,this._source&&(this._source.playbackRate.value=t)}_start(t){const e=Js[this._type];this._source=new Qs({url:e,context:this.context,fadeIn:this._fadeIn,fadeOut:this._fadeOut,loop:!0,onended:()=>this.onstop(this),playbackRate:this._playbackRate}).connect(this.output),this._source.start(this.toSeconds(t),Math.random()*(e.duration-.001))}_stop(t){this._source&&(this._source.stop(this.toSeconds(t)),this._source=null)}get fadeIn(){return this._fadeIn}set fadeIn(t){this._fadeIn=t,this._source&&(this._source.fadeIn=this._fadeIn)}get fadeOut(){return this._fadeOut}set fadeOut(t){this._fadeOut=t,this._source&&(this._source.fadeOut=this._fadeOut)}_restart(t){this._stop(t),this._start(t)}dispose(){return super.dispose(),this._source&&this._source.disconnect(),this}}const Ys={brown:null,pink:null,white:null},Js={get brown(){if(!Ys.brown){const t=[];for(let e=0;e<2;e++){const n=new Float32Array(220500);t[e]=n;let r=0;for(let t=0;t<220500;t++){const e=2*Math.random()-1;n[t]=(r+.02*e)/1.02,r=n[t],n[t]*=3.5}}Ys.brown=(new Hi).fromArray(t)}return Ys.brown},get pink(){if(!Ys.pink){const t=[];for(let e=0;e<2;e++){const n=new Float32Array(220500);let r,i,s,a,o,u,c;t[e]=n,r=i=s=a=o=u=c=0;for(let t=0;t<220500;t++){const e=2*Math.random()-1;r=.99886*r+.0555179*e,i=.99332*i+.0750759*e,s=.969*s+.153852*e,a=.8665*a+.3104856*e,o=.55*o+.5329522*e,u=-.7616*u-.016898*e,n[t]=r+i+s+a+o+u+c+.5362*e,n[t]*=.11,c=.115926*e}}Ys.pink=(new Hi).fromArray(t)}return Ys.pink},get white(){if(!Ys.white){const t=[];for(let e=0;e<2;e++){const n=new Float32Array(220500);t[e]=n;for(let t=0;t<220500;t++)n[t]=2*Math.random()-1}Ys.white=(new Hi).fromArray(t)}return Ys.white}};class Zs extends vs{constructor(){super(Ci(Zs.getDefaults(),arguments,["volume"])),this.name="UserMedia";const t=Ci(Zs.getDefaults(),arguments,["volume"]);this._volume=this.output=new qs({context:this.context,volume:t.volume}),this.volume=this._volume.volume,Ui(this,"volume"),this.mute=t.mute}static getDefaults(){return Object.assign(vs.getDefaults(),{mute:!1,volume:0})}open(t){return yi(this,void 0,void 0,(function*(){Zr(Zs.supported,"UserMedia is not supported"),"started"===this.state&&this.close();const e=yield Zs.enumerateDevices();ci(t)?this._device=e[t]:(this._device=e.find(e=>e.label===t||e.deviceId===t),!this._device&&e.length>0&&(this._device=e[0]),Zr(oi(this._device),"No matching device "+t));const n={audio:{echoCancellation:!1,sampleRate:this.context.sampleRate,noiseSuppression:!1,mozNoiseSuppression:!1}};this._device&&(n.audio.deviceId=this._device.deviceId);const r=yield navigator.mediaDevices.getUserMedia(n);if(!this._stream){this._stream=r;const t=this.context.createMediaStreamSource(r);xs(t,this.output),this._mediaStream=t}return this}))}close(){return this._stream&&this._mediaStream&&(this._stream.getAudioTracks().forEach(t=>{t.stop()}),this._stream=void 0,this._mediaStream.disconnect(),this._mediaStream=void 0),this._device=void 0,this}static enumerateDevices(){return yi(this,void 0,void 0,(function*(){return(yield navigator.mediaDevices.enumerateDevices()).filter(t=>"audioinput"===t.kind)}))}get state(){return this._stream&&this._stream.active?"started":"stopped"}get deviceId(){return this._device?this._device.deviceId:void 0}get groupId(){return this._device?this._device.groupId:void 0}get label(){return this._device?this._device.label:void 0}get mute(){return this._volume.mute}set mute(t){this._volume.mute=t}dispose(){return super.dispose(),this.close(),this._volume.dispose(),this.volume.dispose(),this}static get supported(){return oi(navigator.mediaDevices)&&oi(navigator.mediaDevices.getUserMedia)}}function ta(t,e){return yi(this,void 0,void 0,(function*(){const n=e/t.context.sampleRate,r=new Ki(1,n,t.context.sampleRate);new t.constructor(Object.assign(t.get(),{frequency:2/n,detune:0,context:r})).toDestination().start(0);return(yield r.render()).getChannelData(0)}))}class ea extends Ss{constructor(){super(Ci(ea.getDefaults(),arguments,["frequency","type"])),this.name="ToneOscillatorNode",this._oscillator=this.context.createOscillator(),this._internalChannels=[this._oscillator];const t=Ci(ea.getDefaults(),arguments,["frequency","type"]);xs(this._oscillator,this._gainNode),this.type=t.type,this.frequency=new ys({context:this.context,param:this._oscillator.frequency,units:"frequency",value:t.frequency}),this.detune=new ys({context:this.context,param:this._oscillator.detune,units:"cents",value:t.detune}),Ui(this,["frequency","detune"])}static getDefaults(){return Object.assign(Ss.getDefaults(),{detune:0,frequency:440,type:"sine"})}start(t){const e=this.toSeconds(t);return this.log("start",e),this._startGain(e),this._oscillator.start(e),this}_stopSource(t){this._oscillator.stop(t)}setPeriodicWave(t){return this._oscillator.setPeriodicWave(t),this}get type(){return this._oscillator.type}set type(t){this._oscillator.type=t}dispose(){return super.dispose(),"started"===this.state&&this.stop(),this._oscillator.disconnect(),this.frequency.dispose(),this.detune.dispose(),this}}class na extends Ks{constructor(){super(Ci(na.getDefaults(),arguments,["frequency","type"])),this.name="Oscillator",this._oscillator=null;const t=Ci(na.getDefaults(),arguments,["frequency","type"]);this.frequency=new Ts({context:this.context,units:"frequency",value:t.frequency}),Ui(this,"frequency"),this.detune=new Ts({context:this.context,units:"cents",value:t.detune}),Ui(this,"detune"),this._partials=t.partials,this._partialCount=t.partialCount,this._type=t.type,t.partialCount&&"custom"!==t.type&&(this._type=this.baseType+t.partialCount.toString()),this.phase=t.phase}static getDefaults(){return Object.assign(Ks.getDefaults(),{detune:0,frequency:440,partialCount:0,partials:[],phase:0,type:"sine"})}_start(t){const e=this.toSeconds(t),n=new ea({context:this.context,onended:()=>this.onstop(this)});this._oscillator=n,this._wave?this._oscillator.setPeriodicWave(this._wave):this._oscillator.type=this._type,this._oscillator.connect(this.output),this.frequency.connect(this._oscillator.frequency),this.detune.connect(this._oscillator.detune),this._oscillator.start(e)}_stop(t){const e=this.toSeconds(t);this._oscillator&&this._oscillator.stop(e)}_restart(t){const e=this.toSeconds(t);return this.log("restart",e),this._oscillator&&this._oscillator.cancelStop(),this._state.cancel(e),this}syncFrequency(){return this.context.transport.syncSignal(this.frequency),this}unsyncFrequency(){return this.context.transport.unsyncSignal(this.frequency),this}_getCachedPeriodicWave(){if("custom"===this._type){return na._periodicWaveCache.find(t=>{return t.phase===this._phase&&(e=t.partials,n=this._partials,e.length===n.length&&e.every((t,e)=>n[e]===t));var e,n})}{const t=na._periodicWaveCache.find(t=>t.type===this._type&&t.phase===this._phase);return this._partialCount=t?t.partialCount:this._partialCount,t}}get type(){return this._type}set type(t){this._type=t;const e=-1!==["sine","square","sawtooth","triangle"].indexOf(t);if(0===this._phase&&e)this._wave=void 0,this._partialCount=0,null!==this._oscillator&&(this._oscillator.type=t);else{const e=this._getCachedPeriodicWave();if(oi(e)){const{partials:t,wave:n}=e;this._wave=n,this._partials=t,null!==this._oscillator&&this._oscillator.setPeriodicWave(this._wave)}else{const[e,n]=this._getRealImaginary(t,this._phase),r=this.context.createPeriodicWave(e,n);this._wave=r,null!==this._oscillator&&this._oscillator.setPeriodicWave(this._wave),na._periodicWaveCache.push({imag:n,partialCount:this._partialCount,partials:this._partials,phase:this._phase,real:e,type:this._type,wave:this._wave}),na._periodicWaveCache.length>100&&na._periodicWaveCache.shift()}}}get baseType(){return this._type.replace(this.partialCount.toString(),"")}set baseType(t){this.partialCount&&"custom"!==this._type&&"custom"!==t?this.type=t+this.partialCount:this.type=t}get partialCount(){return this._partialCount}set partialCount(t){ti(t,0);let e=this._type;const n=/^(sine|triangle|square|sawtooth)(\d+)$/.exec(this._type);if(n&&(e=n[1]),"custom"!==this._type)this.type=0===t?e:e+t.toString();else{const e=new Float32Array(t);this._partials.forEach((t,n)=>e[n]=t),this._partials=Array.from(e),this.type=this._type}}_getRealImaginary(t,e){let n=2048;const r=new Float32Array(n),i=new Float32Array(n);let s=1;if("custom"===t){if(s=this._partials.length+1,this._partialCount=this._partials.length,n=s,0===this._partials.length)return[r,i]}else{const e=/^(sine|triangle|square|sawtooth)(\d+)$/.exec(t);e?(s=parseInt(e[2],10)+1,this._partialCount=parseInt(e[2],10),t=e[1],s=Math.max(s,2),n=s):this._partialCount=0,this._partials=[]}for(let a=1;a>1&1?-1:1):0,this._partials[a-1]=o;break;case"custom":o=this._partials[a-1];break;default:throw new TypeError("Oscillator: invalid type: "+t)}0!==o?(r[a]=-o*Math.sin(e*a),i[a]=o*Math.cos(e*a)):(r[a]=0,i[a]=0)}return[r,i]}_inverseFFT(t,e,n){let r=0;const i=t.length;for(let s=0;se.includes(t)),"oversampling must be either 'none', '2x', or '4x'"),this._shaper.oversample=t}dispose(){return super.dispose(),this._shaper.disconnect(),this}}class sa extends ra{constructor(){super(...arguments),this.name="AudioToGain",this._norm=new ia({context:this.context,mapping:t=>(t+1)/2}),this.input=this._norm,this.output=this._norm}dispose(){return super.dispose(),this._norm.dispose(),this}}class aa extends Ts{constructor(){super(Object.assign(Ci(aa.getDefaults(),arguments,["value"]))),this.name="Multiply",this.override=!1;const t=Ci(aa.getDefaults(),arguments,["value"]);this._mult=this.input=this.output=new Os({context:this.context,minValue:t.minValue,maxValue:t.maxValue}),this.factor=this._param=this._mult.gain,this.factor.setValueAtTime(t.value,0)}static getDefaults(){return Object.assign(Ts.getDefaults(),{value:0})}dispose(){return super.dispose(),this._mult.dispose(),this}}class oa extends Ks{constructor(){super(Ci(oa.getDefaults(),arguments,["frequency","type","modulationType"])),this.name="AMOscillator",this._modulationScale=new sa({context:this.context}),this._modulationNode=new Os({context:this.context});const t=Ci(oa.getDefaults(),arguments,["frequency","type","modulationType"]);this._carrier=new na({context:this.context,detune:t.detune,frequency:t.frequency,onstop:()=>this.onstop(this),phase:t.phase,type:t.type}),this.frequency=this._carrier.frequency,this.detune=this._carrier.detune,this._modulator=new na({context:this.context,phase:t.phase,type:t.modulationType}),this.harmonicity=new aa({context:this.context,units:"positive",value:t.harmonicity}),this.frequency.chain(this.harmonicity,this._modulator.frequency),this._modulator.chain(this._modulationScale,this._modulationNode.gain),this._carrier.chain(this._modulationNode,this.output),Ui(this,["frequency","detune","harmonicity"])}static getDefaults(){return Object.assign(na.getDefaults(),{harmonicity:1,modulationType:"square"})}_start(t){this._modulator.start(t),this._carrier.start(t)}_stop(t){this._modulator.stop(t),this._carrier.stop(t)}_restart(t){this._modulator.restart(t),this._carrier.restart(t)}get type(){return this._carrier.type}set type(t){this._carrier.type=t}get baseType(){return this._carrier.baseType}set baseType(t){this._carrier.baseType=t}get partialCount(){return this._carrier.partialCount}set partialCount(t){this._carrier.partialCount=t}get modulationType(){return this._modulator.type}set modulationType(t){this._modulator.type=t}get phase(){return this._carrier.phase}set phase(t){this._carrier.phase=t,this._modulator.phase=t}get partials(){return this._carrier.partials}set partials(t){this._carrier.partials=t}asArray(t=1024){return yi(this,void 0,void 0,(function*(){return ta(this,t)}))}dispose(){return super.dispose(),this.frequency.dispose(),this.detune.dispose(),this.harmonicity.dispose(),this._carrier.dispose(),this._modulator.dispose(),this._modulationNode.dispose(),this._modulationScale.dispose(),this}}class ua extends Ks{constructor(){super(Ci(ua.getDefaults(),arguments,["frequency","type","modulationType"])),this.name="FMOscillator",this._modulationNode=new Os({context:this.context,gain:0});const t=Ci(ua.getDefaults(),arguments,["frequency","type","modulationType"]);this._carrier=new na({context:this.context,detune:t.detune,frequency:0,onstop:()=>this.onstop(this),phase:t.phase,type:t.type}),this.detune=this._carrier.detune,this.frequency=new Ts({context:this.context,units:"frequency",value:t.frequency}),this._modulator=new na({context:this.context,phase:t.phase,type:t.modulationType}),this.harmonicity=new aa({context:this.context,units:"positive",value:t.harmonicity}),this.modulationIndex=new aa({context:this.context,units:"positive",value:t.modulationIndex}),this.frequency.connect(this._carrier.frequency),this.frequency.chain(this.harmonicity,this._modulator.frequency),this.frequency.chain(this.modulationIndex,this._modulationNode),this._modulator.connect(this._modulationNode.gain),this._modulationNode.connect(this._carrier.frequency),this._carrier.connect(this.output),this.detune.connect(this._modulator.detune),Ui(this,["modulationIndex","frequency","detune","harmonicity"])}static getDefaults(){return Object.assign(na.getDefaults(),{harmonicity:1,modulationIndex:2,modulationType:"square"})}_start(t){this._modulator.start(t),this._carrier.start(t)}_stop(t){this._modulator.stop(t),this._carrier.stop(t)}_restart(t){return this._modulator.restart(t),this._carrier.restart(t),this}get type(){return this._carrier.type}set type(t){this._carrier.type=t}get baseType(){return this._carrier.baseType}set baseType(t){this._carrier.baseType=t}get partialCount(){return this._carrier.partialCount}set partialCount(t){this._carrier.partialCount=t}get modulationType(){return this._modulator.type}set modulationType(t){this._modulator.type=t}get phase(){return this._carrier.phase}set phase(t){this._carrier.phase=t,this._modulator.phase=t}get partials(){return this._carrier.partials}set partials(t){this._carrier.partials=t}asArray(t=1024){return yi(this,void 0,void 0,(function*(){return ta(this,t)}))}dispose(){return super.dispose(),this.frequency.dispose(),this.harmonicity.dispose(),this._carrier.dispose(),this._modulator.dispose(),this._modulationNode.dispose(),this.modulationIndex.dispose(),this}}class ca extends Ks{constructor(){super(Ci(ca.getDefaults(),arguments,["frequency","width"])),this.name="PulseOscillator",this._widthGate=new Os({context:this.context,gain:0}),this._thresh=new ia({context:this.context,mapping:t=>t<=0?-1:1});const t=Ci(ca.getDefaults(),arguments,["frequency","width"]);this.width=new Ts({context:this.context,units:"audioRange",value:t.width}),this._triangle=new na({context:this.context,detune:t.detune,frequency:t.frequency,onstop:()=>this.onstop(this),phase:t.phase,type:"triangle"}),this.frequency=this._triangle.frequency,this.detune=this._triangle.detune,this._triangle.chain(this._thresh,this.output),this.width.chain(this._widthGate,this._thresh),Ui(this,["width","frequency","detune"])}static getDefaults(){return Object.assign(Ks.getDefaults(),{detune:0,frequency:440,phase:0,type:"pulse",width:.2})}_start(t){t=this.toSeconds(t),this._triangle.start(t),this._widthGate.gain.setValueAtTime(1,t)}_stop(t){t=this.toSeconds(t),this._triangle.stop(t),this._widthGate.gain.cancelScheduledValues(t),this._widthGate.gain.setValueAtTime(0,t)}_restart(t){this._triangle.restart(t),this._widthGate.gain.cancelScheduledValues(t),this._widthGate.gain.setValueAtTime(1,t)}get phase(){return this._triangle.phase}set phase(t){this._triangle.phase=t}get type(){return"pulse"}get baseType(){return"pulse"}get partials(){return[]}get partialCount(){return 0}set carrierType(t){this._triangle.type=t}asArray(t=1024){return yi(this,void 0,void 0,(function*(){return ta(this,t)}))}dispose(){return super.dispose(),this._triangle.dispose(),this.width.dispose(),this._widthGate.dispose(),this._thresh.dispose(),this}}class la extends Ks{constructor(){super(Ci(la.getDefaults(),arguments,["frequency","type","spread"])),this.name="FatOscillator",this._oscillators=[];const t=Ci(la.getDefaults(),arguments,["frequency","type","spread"]);this.frequency=new Ts({context:this.context,units:"frequency",value:t.frequency}),this.detune=new Ts({context:this.context,units:"cents",value:t.detune}),this._spread=t.spread,this._type=t.type,this._phase=t.phase,this._partials=t.partials,this._partialCount=t.partialCount,this.count=t.count,Ui(this,["frequency","detune"])}static getDefaults(){return Object.assign(na.getDefaults(),{count:3,spread:20,type:"sawtooth"})}_start(t){t=this.toSeconds(t),this._forEach(e=>e.start(t))}_stop(t){t=this.toSeconds(t),this._forEach(e=>e.stop(t))}_restart(t){this._forEach(e=>e.restart(t))}_forEach(t){for(let e=0;ee.type=t)}get spread(){return this._spread}set spread(t){if(this._spread=t,this._oscillators.length>1){const e=-t/2,n=t/(this._oscillators.length-1);this._forEach((t,r)=>t.detune.value=e+n*r)}}get count(){return this._oscillators.length}set count(t){if(ti(t,1),this._oscillators.length!==t){this._forEach(t=>t.dispose()),this._oscillators=[];for(let e=0;ethis.onstop(this):Gi});"custom"===this.type&&(n.partials=this._partials),this.frequency.connect(n.frequency),this.detune.connect(n.detune),n.detune.overridden=!1,n.connect(this.output),this._oscillators[e]=n}this.spread=this._spread,"started"===this.state&&this._forEach(t=>t.start())}}get phase(){return this._phase}set phase(t){this._phase=t,this._forEach((t,e)=>t.phase=this._phase+e/this.count*360)}get baseType(){return this._oscillators[0].baseType}set baseType(t){this._forEach(e=>e.baseType=t),this._type=this._oscillators[0].type}get partials(){return this._oscillators[0].partials}set partials(t){this._partials=t,this._partialCount=this._partials.length,t.length&&(this._type="custom",this._forEach(e=>e.partials=t))}get partialCount(){return this._oscillators[0].partialCount}set partialCount(t){this._partialCount=t,this._forEach(e=>e.partialCount=t),this._type=this._oscillators[0].type}asArray(t=1024){return yi(this,void 0,void 0,(function*(){return ta(this,t)}))}dispose(){return super.dispose(),this.frequency.dispose(),this.detune.dispose(),this._forEach(t=>t.dispose()),this}}class ha extends Ks{constructor(){super(Ci(ha.getDefaults(),arguments,["frequency","modulationFrequency"])),this.name="PWMOscillator",this.sourceType="pwm",this._scale=new aa({context:this.context,value:2});const t=Ci(ha.getDefaults(),arguments,["frequency","modulationFrequency"]);this._pulse=new ca({context:this.context,frequency:t.modulationFrequency}),this._pulse.carrierType="sine",this.modulationFrequency=this._pulse.frequency,this._modulator=new na({context:this.context,detune:t.detune,frequency:t.frequency,onstop:()=>this.onstop(this),phase:t.phase}),this.frequency=this._modulator.frequency,this.detune=this._modulator.detune,this._modulator.chain(this._scale,this._pulse.width),this._pulse.connect(this.output),Ui(this,["modulationFrequency","frequency","detune"])}static getDefaults(){return Object.assign(Ks.getDefaults(),{detune:0,frequency:440,modulationFrequency:.4,phase:0,type:"pwm"})}_start(t){t=this.toSeconds(t),this._modulator.start(t),this._pulse.start(t)}_stop(t){t=this.toSeconds(t),this._modulator.stop(t),this._pulse.stop(t)}_restart(t){this._modulator.restart(t),this._pulse.restart(t)}get type(){return"pwm"}get baseType(){return"pwm"}get partials(){return[]}get partialCount(){return 0}get phase(){return this._modulator.phase}set phase(t){this._modulator.phase=t}asArray(t=1024){return yi(this,void 0,void 0,(function*(){return ta(this,t)}))}dispose(){return super.dispose(),this._pulse.dispose(),this._scale.dispose(),this._modulator.dispose(),this}}const da={am:oa,fat:la,fm:ua,oscillator:na,pulse:ca,pwm:ha};class pa extends Ks{constructor(){super(Ci(pa.getDefaults(),arguments,["frequency","type"])),this.name="OmniOscillator";const t=Ci(pa.getDefaults(),arguments,["frequency","type"]);this.frequency=new Ts({context:this.context,units:"frequency",value:t.frequency}),this.detune=new Ts({context:this.context,units:"cents",value:t.detune}),Ui(this,["frequency","detune"]),this.set(t)}static getDefaults(){return Object.assign(na.getDefaults(),ua.getDefaults(),oa.getDefaults(),la.getDefaults(),ca.getDefaults(),ha.getDefaults())}_start(t){this._oscillator.start(t)}_stop(t){this._oscillator.stop(t)}_restart(t){return this._oscillator.restart(t),this}get type(){let t="";return["am","fm","fat"].some(t=>this._sourceType===t)&&(t=this._sourceType),t+this._oscillator.type}set type(t){"fm"===t.substr(0,2)?(this._createNewOscillator("fm"),this._oscillator=this._oscillator,this._oscillator.type=t.substr(2)):"am"===t.substr(0,2)?(this._createNewOscillator("am"),this._oscillator=this._oscillator,this._oscillator.type=t.substr(2)):"fat"===t.substr(0,3)?(this._createNewOscillator("fat"),this._oscillator=this._oscillator,this._oscillator.type=t.substr(3)):"pwm"===t?(this._createNewOscillator("pwm"),this._oscillator=this._oscillator):"pulse"===t?this._createNewOscillator("pulse"):(this._createNewOscillator("oscillator"),this._oscillator=this._oscillator,this._oscillator.type=t)}get partials(){return this._oscillator.partials}set partials(t){this._getOscType(this._oscillator,"pulse")||this._getOscType(this._oscillator,"pwm")||(this._oscillator.partials=t)}get partialCount(){return this._oscillator.partialCount}set partialCount(t){this._getOscType(this._oscillator,"pulse")||this._getOscType(this._oscillator,"pwm")||(this._oscillator.partialCount=t)}set(t){return Reflect.has(t,"type")&&t.type&&(this.type=t.type),super.set(t),this}_createNewOscillator(t){if(t!==this._sourceType){this._sourceType=t;const e=da[t],n=this.now();if(this._oscillator){const t=this._oscillator;t.stop(n),this.context.setTimeout(()=>t.dispose(),this.blockTime)}this._oscillator=new e({context:this.context}),this.frequency.connect(this._oscillator.frequency),this.detune.connect(this._oscillator.detune),this._oscillator.connect(this.output),this._oscillator.onstop=()=>this.onstop(this),"started"===this.state&&this._oscillator.start(n)}}get phase(){return this._oscillator.phase}set phase(t){this._oscillator.phase=t}get sourceType(){return this._sourceType}set sourceType(t){let e="sine";"pwm"!==this._oscillator.type&&"pulse"!==this._oscillator.type&&(e=this._oscillator.type),"fm"===t?this.type="fm"+e:"am"===t?this.type="am"+e:"fat"===t?this.type="fat"+e:"oscillator"===t?this.type=e:"pulse"===t?this.type="pulse":"pwm"===t&&(this.type="pwm")}_getOscType(t,e){return t instanceof da[e]}get baseType(){return this._oscillator.baseType}set baseType(t){this._getOscType(this._oscillator,"pulse")||this._getOscType(this._oscillator,"pwm")||"pulse"===t||"pwm"===t||(this._oscillator.baseType=t)}get width(){return this._getOscType(this._oscillator,"pulse")?this._oscillator.width:void 0}get count(){return this._getOscType(this._oscillator,"fat")?this._oscillator.count:void 0}set count(t){this._getOscType(this._oscillator,"fat")&&ci(t)&&(this._oscillator.count=t)}get spread(){return this._getOscType(this._oscillator,"fat")?this._oscillator.spread:void 0}set spread(t){this._getOscType(this._oscillator,"fat")&&ci(t)&&(this._oscillator.spread=t)}get modulationType(){return this._getOscType(this._oscillator,"fm")||this._getOscType(this._oscillator,"am")?this._oscillator.modulationType:void 0}set modulationType(t){(this._getOscType(this._oscillator,"fm")||this._getOscType(this._oscillator,"am"))&&pi(t)&&(this._oscillator.modulationType=t)}get modulationIndex(){return this._getOscType(this._oscillator,"fm")?this._oscillator.modulationIndex:void 0}get harmonicity(){return this._getOscType(this._oscillator,"fm")||this._getOscType(this._oscillator,"am")?this._oscillator.harmonicity:void 0}get modulationFrequency(){return this._getOscType(this._oscillator,"pwm")?this._oscillator.modulationFrequency:void 0}asArray(t=1024){return yi(this,void 0,void 0,(function*(){return ta(this,t)}))}dispose(){return super.dispose(),this.detune.dispose(),this.frequency.dispose(),this._oscillator.dispose(),this}}class fa extends Ts{constructor(){super(Object.assign(Ci(fa.getDefaults(),arguments,["value"]))),this.override=!1,this.name="Add",this._sum=new Os({context:this.context}),this.input=this._sum,this.output=this._sum,this.addend=this._param,ws(this._constantSource,this._sum)}static getDefaults(){return Object.assign(Ts.getDefaults(),{value:0})}dispose(){return super.dispose(),this._sum.dispose(),this}}class ma extends ra{constructor(){super(Object.assign(Ci(ma.getDefaults(),arguments,["min","max"]))),this.name="Scale";const t=Ci(ma.getDefaults(),arguments,["min","max"]);this._mult=this.input=new aa({context:this.context,value:t.max-t.min}),this._add=this.output=new fa({context:this.context,value:t.min}),this._min=t.min,this._max=t.max,this.input.connect(this.output)}static getDefaults(){return Object.assign(ra.getDefaults(),{max:1,min:0})}get min(){return this._min}set min(t){this._min=t,this._setRange()}get max(){return this._max}set max(t){this._max=t,this._setRange()}_setRange(){this._add.value=this._min,this._mult.value=this._max-this._min}dispose(){return super.dispose(),this._add.dispose(),this._mult.dispose(),this}}class ga extends ra{constructor(){super(Object.assign(Ci(ga.getDefaults(),arguments))),this.name="Zero",this._gain=new Os({context:this.context}),this.output=this._gain,this.input=void 0,xs(this.context.getConstant(0),this._gain)}dispose(){return super.dispose(),_s(this.context.getConstant(0),this._gain),this}}class ba extends vs{constructor(){super(Ci(ba.getDefaults(),arguments,["frequency","min","max"])),this.name="LFO",this._stoppedValue=0,this._units="number",this.convert=!0,this._fromType=ys.prototype._fromType,this._toType=ys.prototype._toType,this._is=ys.prototype._is,this._clampValue=ys.prototype._clampValue;const t=Ci(ba.getDefaults(),arguments,["frequency","min","max"]);this._oscillator=new na({context:this.context,frequency:t.frequency,type:t.type}),this.frequency=this._oscillator.frequency,this._amplitudeGain=new Os({context:this.context,gain:t.amplitude,units:"normalRange"}),this.amplitude=this._amplitudeGain.gain,this._stoppedSignal=new Ts({context:this.context,units:"audioRange",value:0}),this._zeros=new ga({context:this.context}),this._a2g=new sa({context:this.context}),this._scaler=this.output=new ma({context:this.context,max:t.max,min:t.min}),this.units=t.units,this.min=t.min,this.max=t.max,this._oscillator.chain(this._a2g,this._amplitudeGain,this._scaler),this._zeros.connect(this._a2g),this._stoppedSignal.connect(this._a2g),Ui(this,["amplitude","frequency"]),this.phase=t.phase}static getDefaults(){return Object.assign(vs.getDefaults(),{amplitude:1,frequency:"4n",max:1,min:0,phase:0,type:"sine",units:"number"})}start(t){return t=this.toSeconds(t),this._stoppedSignal.setValueAtTime(0,t),this._oscillator.start(t),this}stop(t){return t=this.toSeconds(t),this._stoppedSignal.setValueAtTime(this._stoppedValue,t),this._oscillator.stop(t),this}sync(){return this._oscillator.sync(),this._oscillator.syncFrequency(),this}unsync(){return this._oscillator.unsync(),this._oscillator.unsyncFrequency(),this}get min(){return this._toType(this._scaler.min)}set min(t){t=this._fromType(t),this._scaler.min=t}get max(){return this._toType(this._scaler.max)}set max(t){t=this._fromType(t),this._scaler.max=t}get type(){return this._oscillator.type}set type(t){this._oscillator.type=t,this._stoppedValue=this._oscillator.getInitialValue(),this._stoppedSignal.value=this._stoppedValue}get phase(){return this._oscillator.phase}set phase(t){this._oscillator.phase=t,this._stoppedValue=this._oscillator.getInitialValue(),this._stoppedSignal.value=this._stoppedValue}get units(){return this._units}set units(t){const e=this.min,n=this.max;this._units=t,this.min=e,this.max=n}get state(){return this._oscillator.state}connect(t,e,n){return(t instanceof ys||t instanceof Ts)&&(this.convert=t.convert,this.units=t.units),Cs(this,t,e,n),this}dispose(){return super.dispose(),this._oscillator.dispose(),this._stoppedSignal.dispose(),this._zeros.dispose(),this._scaler.dispose(),this._a2g.dispose(),this._amplitudeGain.dispose(),this.amplitude.dispose(),this}}function ya(t,e=1/0){const n=new WeakMap;return function(r,i){Reflect.defineProperty(r,i,{configurable:!0,enumerable:!0,get:function(){return n.get(this)},set:function(r){ti(r,t,e),n.set(this,r)}})}}function va(t,e=1/0){const n=new WeakMap;return function(r,i){Reflect.defineProperty(r,i,{configurable:!0,enumerable:!0,get:function(){return n.get(this)},set:function(r){ti(this.toSeconds(r),t,e),n.set(this,r)}})}}class wa extends Ks{constructor(){super(Ci(wa.getDefaults(),arguments,["url","onload"])),this.name="Player",this._activeSources=new Set;const t=Ci(wa.getDefaults(),arguments,["url","onload"]);this._buffer=new Hi({onload:this._onload.bind(this,t.onload),onerror:t.onerror,reverse:t.reverse,url:t.url}),this.autostart=t.autostart,this._loop=t.loop,this._loopStart=t.loopStart,this._loopEnd=t.loopEnd,this._playbackRate=t.playbackRate,this.fadeIn=t.fadeIn,this.fadeOut=t.fadeOut}static getDefaults(){return Object.assign(Ks.getDefaults(),{autostart:!1,fadeIn:0,fadeOut:0,loop:!1,loopEnd:0,loopStart:0,onload:Gi,onerror:Gi,playbackRate:1,reverse:!1})}load(t){return yi(this,void 0,void 0,(function*(){return yield this._buffer.load(t),this._onload(),this}))}_onload(t=Gi){t(),this.autostart&&this.start()}_onSourceEnd(t){this.onstop(this),this._activeSources.delete(t),0!==this._activeSources.size||this._synced||"started"!==this._state.getValueAtTime(this.now())||(this._state.cancel(this.now()),this._state.setStateAtTime("stopped",this.now()))}start(t,e,n){return super.start(t,e,n),this}_start(t,e,n){e=this._loop?Ai(e,this._loopStart):Ai(e,0);let r=this.toSeconds(e);this._synced&&(r*=this._playbackRate);const i=n;n=Ai(n,Math.max(this._buffer.duration-r,0));let s=this.toSeconds(n);s/=this._playbackRate,t=this.toSeconds(t);const a=new Qs({url:this._buffer,context:this.context,fadeIn:this.fadeIn,fadeOut:this.fadeOut,loop:this._loop,loopEnd:this._loopEnd,loopStart:this._loopStart,onended:this._onSourceEnd.bind(this),playbackRate:this._playbackRate}).connect(this.output);this._loop||this._synced||(this._state.cancel(t+s),this._state.setStateAtTime("stopped",t+s,{implicitEnd:!0})),this._activeSources.add(a),this._loop&&ai(i)?a.start(t,r):a.start(t,r,s-this.toSeconds(this.fadeOut))}_stop(t){const e=this.toSeconds(t);this._activeSources.forEach(t=>t.stop(e))}restart(t,e,n){return super.restart(t,e,n),this}_restart(t,e,n){this._stop(t),this._start(t,e,n)}seek(t,e){const n=this.toSeconds(e);if("started"===this._state.getValueAtTime(n)){const e=this.toSeconds(t);this._stop(n),this._start(n,e)}return this}setLoopPoints(t,e){return this.loopStart=t,this.loopEnd=e,this}get loopStart(){return this._loopStart}set loopStart(t){this._loopStart=t,this.buffer.loaded&&ti(this.toSeconds(t),0,this.buffer.duration),this._activeSources.forEach(e=>{e.loopStart=t})}get loopEnd(){return this._loopEnd}set loopEnd(t){this._loopEnd=t,this.buffer.loaded&&ti(this.toSeconds(t),0,this.buffer.duration),this._activeSources.forEach(e=>{e.loopEnd=t})}get buffer(){return this._buffer}set buffer(t){this._buffer.set(t)}get loop(){return this._loop}set loop(t){if(this._loop!==t&&(this._loop=t,this._activeSources.forEach(e=>{e.loop=t}),t)){const t=this._state.getNextState("stopped",this.now());t&&this._state.cancel(t.time)}}get playbackRate(){return this._playbackRate}set playbackRate(t){this._playbackRate=t;const e=this.now(),n=this._state.getNextState("stopped",e);n&&n.implicitEnd&&(this._state.cancel(n.time),this._activeSources.forEach(t=>t.cancelStop())),this._activeSources.forEach(n=>{n.playbackRate.setValueAtTime(t,e)})}get reverse(){return this._buffer.reverse}set reverse(t){this._buffer.reverse=t}get loaded(){return this._buffer.loaded}dispose(){return super.dispose(),this._activeSources.forEach(t=>t.dispose()),this._activeSources.clear(),this._buffer.dispose(),this}}bi([va(0)],wa.prototype,"fadeIn",void 0),bi([va(0)],wa.prototype,"fadeOut",void 0);class xa extends vs{constructor(){super(Ci(xa.getDefaults(),arguments,["urls","onload"],"urls")),this.name="Players",this.input=void 0,this._players=new Map;const t=Ci(xa.getDefaults(),arguments,["urls","onload"],"urls");this._volume=this.output=new qs({context:this.context,volume:t.volume}),this.volume=this._volume.volume,Ui(this,"volume"),this._buffers=new Ds({urls:t.urls,onload:t.onload,baseUrl:t.baseUrl,onerror:t.onerror}),this.mute=t.mute,this._fadeIn=t.fadeIn,this._fadeOut=t.fadeOut}static getDefaults(){return Object.assign(Ks.getDefaults(),{baseUrl:"",fadeIn:0,fadeOut:0,mute:!1,onload:Gi,onerror:Gi,urls:{},volume:0})}get mute(){return this._volume.mute}set mute(t){this._volume.mute=t}get fadeIn(){return this._fadeIn}set fadeIn(t){this._fadeIn=t,this._players.forEach(e=>{e.fadeIn=t})}get fadeOut(){return this._fadeOut}set fadeOut(t){this._fadeOut=t,this._players.forEach(e=>{e.fadeOut=t})}get state(){return Array.from(this._players).some(([t,e])=>"started"===e.state)?"started":"stopped"}has(t){return this._buffers.has(t)}player(t){if(Zr(this.has(t),`No Player with the name ${t} exists on this object`),!this._players.has(t)){const e=new wa({context:this.context,fadeIn:this._fadeIn,fadeOut:this._fadeOut,url:this._buffers.get(t)}).connect(this.output);this._players.set(t,e)}return this._players.get(t)}get loaded(){return this._buffers.loaded}add(t,e,n){return Zr(!this._buffers.has(t),"A buffer with that name already exists on this object"),this._buffers.add(t,e,n),this}stopAll(t){return this._players.forEach(e=>e.stop(t)),this}dispose(){return super.dispose(),this._volume.dispose(),this.volume.dispose(),this._players.forEach(t=>t.dispose()),this._buffers.dispose(),this}}class _a extends Ks{constructor(){super(Ci(_a.getDefaults(),arguments,["url","onload"])),this.name="GrainPlayer",this._loopStart=0,this._loopEnd=0,this._activeSources=[];const t=Ci(_a.getDefaults(),arguments,["url","onload"]);this.buffer=new Hi({onload:t.onload,onerror:t.onerror,reverse:t.reverse,url:t.url}),this._clock=new Es({context:this.context,callback:this._tick.bind(this),frequency:1/t.grainSize}),this._playbackRate=t.playbackRate,this._grainSize=t.grainSize,this._overlap=t.overlap,this.detune=t.detune,this.overlap=t.overlap,this.loop=t.loop,this.playbackRate=t.playbackRate,this.grainSize=t.grainSize,this.loopStart=t.loopStart,this.loopEnd=t.loopEnd,this.reverse=t.reverse,this._clock.on("stop",this._onstop.bind(this))}static getDefaults(){return Object.assign(Ks.getDefaults(),{onload:Gi,onerror:Gi,overlap:.1,grainSize:.2,playbackRate:1,detune:0,loop:!1,loopStart:0,loopEnd:0,reverse:!1})}_start(t,e,n){e=Ai(e,0),e=this.toSeconds(e),t=this.toSeconds(t);const r=1/this._clock.frequency.getValueAtTime(t);this._clock.start(t,e/r),n&&this.stop(t+this.toSeconds(n))}restart(t,e,n){return super.restart(t,e,n),this}_restart(t,e,n){this._stop(t),this._start(t,e,n)}_stop(t){this._clock.stop(t)}_onstop(t){this._activeSources.forEach(e=>{e.fadeOut=0,e.stop(t)}),this.onstop(this)}_tick(t){const e=this._clock.getTicksAtTime(t),n=e*this._grainSize;if(this.log("offset",n),!this.loop&&n>this.buffer.duration)return void this.stop(t);const r=n{const t=this._activeSources.indexOf(i);-1!==t&&this._activeSources.splice(t,1)}}get playbackRate(){return this._playbackRate}set playbackRate(t){ti(t,.001),this._playbackRate=t,this.grainSize=this._grainSize}get loopStart(){return this._loopStart}set loopStart(t){this.buffer.loaded&&ti(this.toSeconds(t),0,this.buffer.duration),this._loopStart=this.toSeconds(t)}get loopEnd(){return this._loopEnd}set loopEnd(t){this.buffer.loaded&&ti(this.toSeconds(t),0,this.buffer.duration),this._loopEnd=this.toSeconds(t)}get reverse(){return this.buffer.reverse}set reverse(t){this.buffer.reverse=t}get grainSize(){return this._grainSize}set grainSize(t){this._grainSize=this.toSeconds(t),this._clock.frequency.setValueAtTime(this._playbackRate/this._grainSize,this.now())}get overlap(){return this._overlap}set overlap(t){const e=this.toSeconds(t);ti(e,0),this._overlap=e}get loaded(){return this.buffer.loaded}dispose(){return super.dispose(),this.buffer.dispose(),this._clock.dispose(),this._activeSources.forEach(t=>t.dispose()),this}}class Oa extends ra{constructor(){super(...arguments),this.name="Abs",this._abs=new ia({context:this.context,mapping:t=>Math.abs(t)<.001?0:Math.abs(t)}),this.input=this._abs,this.output=this._abs}dispose(){return super.dispose(),this._abs.dispose(),this}}class Sa extends ra{constructor(){super(...arguments),this.name="GainToAudio",this._norm=new ia({context:this.context,mapping:t=>2*Math.abs(t)-1}),this.input=this._norm,this.output=this._norm}dispose(){return super.dispose(),this._norm.dispose(),this}}class ka extends ra{constructor(){super(...arguments),this.name="Negate",this._multiply=new aa({context:this.context,value:-1}),this.input=this._multiply,this.output=this._multiply}dispose(){return super.dispose(),this._multiply.dispose(),this}}class Ta extends Ts{constructor(){super(Object.assign(Ci(Ta.getDefaults(),arguments,["value"]))),this.override=!1,this.name="Subtract",this._sum=new Os({context:this.context}),this.input=this._sum,this.output=this._sum,this._neg=new ka({context:this.context}),this.subtrahend=this._param,ws(this._constantSource,this._neg,this._sum)}static getDefaults(){return Object.assign(Ts.getDefaults(),{value:0})}dispose(){return super.dispose(),this._neg.dispose(),this._sum.dispose(),this}}class Ca extends ra{constructor(){super(Object.assign(Ci(Ca.getDefaults(),arguments))),this.name="GreaterThanZero",this._thresh=this.output=new ia({context:this.context,length:127,mapping:t=>t<=0?0:1}),this._scale=this.input=new aa({context:this.context,value:1e4}),this._scale.connect(this._thresh)}dispose(){return super.dispose(),this._scale.dispose(),this._thresh.dispose(),this}}class Aa extends Ts{constructor(){super(Object.assign(Ci(Aa.getDefaults(),arguments,["value"]))),this.name="GreaterThan",this.override=!1;const t=Ci(Aa.getDefaults(),arguments,["value"]);this._subtract=this.input=new Ta({context:this.context,value:t.value}),this._gtz=this.output=new Ca({context:this.context}),this.comparator=this._param=this._subtract.subtrahend,Ui(this,"comparator"),this._subtract.connect(this._gtz)}static getDefaults(){return Object.assign(Ts.getDefaults(),{value:0})}dispose(){return super.dispose(),this._gtz.dispose(),this._subtract.dispose(),this.comparator.dispose(),this}}class Na extends ra{constructor(){super(Object.assign(Ci(Na.getDefaults(),arguments,["value"]))),this.name="Pow";const t=Ci(Na.getDefaults(),arguments,["value"]);this._exponentScaler=this.input=this.output=new ia({context:this.context,mapping:this._expFunc(t.value),length:8192}),this._exponent=t.value}static getDefaults(){return Object.assign(ra.getDefaults(),{value:1})}_expFunc(t){return e=>Math.pow(Math.abs(e),t)}get value(){return this._exponent}set value(t){this._exponent=t,this._exponentScaler.setMap(this._expFunc(this._exponent))}dispose(){return super.dispose(),this._exponentScaler.dispose(),this}}class Ia extends ma{constructor(){super(Object.assign(Ci(Ia.getDefaults(),arguments,["min","max","exponent"]))),this.name="ScaleExp";const t=Ci(Ia.getDefaults(),arguments,["min","max","exponent"]);this.input=this._exp=new Na({context:this.context,value:t.exponent}),this._exp.connect(this._mult)}static getDefaults(){return Object.assign(ma.getDefaults(),{exponent:1})}get exponent(){return this._exp.value}set exponent(t){this._exp.value=t}dispose(){return super.dispose(),this._exp.dispose(),this}}class Ea extends Ts{constructor(){super(Ci(Ts.getDefaults(),arguments,["value","units"])),this.name="SyncedSignal",this.override=!1;const t=Ci(Ts.getDefaults(),arguments,["value","units"]);this._lastVal=t.value,this._synced=this.context.transport.scheduleRepeat(this._onTick.bind(this),"1i"),this._syncedCallback=this._anchorValue.bind(this),this.context.transport.on("start",this._syncedCallback),this.context.transport.on("pause",this._syncedCallback),this.context.transport.on("stop",this._syncedCallback),this._constantSource.disconnect(),this._constantSource.stop(0),this._constantSource=this.output=new ks({context:this.context,offset:t.value,units:t.units}).start(0),this.setValueAtTime(t.value,0)}_onTick(t){const e=super.getValueAtTime(this.context.transport.seconds);this._lastVal!==e&&(this._lastVal=e,this._constantSource.offset.setValueAtTime(e,t))}_anchorValue(t){const e=super.getValueAtTime(this.context.transport.seconds);this._lastVal=e,this._constantSource.offset.cancelAndHoldAtTime(t),this._constantSource.offset.setValueAtTime(e,t)}getValueAtTime(t){const e=new fs(this.context,t).toSeconds();return super.getValueAtTime(e)}setValueAtTime(t,e){const n=new fs(this.context,e).toSeconds();return super.setValueAtTime(t,n),this}linearRampToValueAtTime(t,e){const n=new fs(this.context,e).toSeconds();return super.linearRampToValueAtTime(t,n),this}exponentialRampToValueAtTime(t,e){const n=new fs(this.context,e).toSeconds();return super.exponentialRampToValueAtTime(t,n),this}setTargetAtTime(t,e,n){const r=new fs(this.context,e).toSeconds();return super.setTargetAtTime(t,r,n),this}cancelScheduledValues(t){const e=new fs(this.context,t).toSeconds();return super.cancelScheduledValues(e),this}setValueCurveAtTime(t,e,n,r){const i=new fs(this.context,e).toSeconds();return n=this.toSeconds(n),super.setValueCurveAtTime(t,i,n,r),this}cancelAndHoldAtTime(t){const e=new fs(this.context,t).toSeconds();return super.cancelAndHoldAtTime(e),this}setRampPoint(t){const e=new fs(this.context,t).toSeconds();return super.setRampPoint(e),this}exponentialRampTo(t,e,n){const r=new fs(this.context,n).toSeconds();return super.exponentialRampTo(t,e,r),this}linearRampTo(t,e,n){const r=new fs(this.context,n).toSeconds();return super.linearRampTo(t,e,r),this}targetRampTo(t,e,n){const r=new fs(this.context,n).toSeconds();return super.targetRampTo(t,e,r),this}dispose(){return super.dispose(),this.context.transport.clear(this._synced),this.context.transport.off("start",this._syncedCallback),this.context.transport.off("pause",this._syncedCallback),this.context.transport.off("stop",this._syncedCallback),this._constantSource.dispose(),this}}class ja extends vs{constructor(){super(Ci(ja.getDefaults(),arguments,["attack","decay","sustain","release"])),this.name="Envelope",this._sig=new Ts({context:this.context,value:0}),this.output=this._sig,this.input=void 0;const t=Ci(ja.getDefaults(),arguments,["attack","decay","sustain","release"]);this.attack=t.attack,this.decay=t.decay,this.sustain=t.sustain,this.release=t.release,this.attackCurve=t.attackCurve,this.releaseCurve=t.releaseCurve,this.decayCurve=t.decayCurve}static getDefaults(){return Object.assign(vs.getDefaults(),{attack:.01,attackCurve:"linear",decay:.1,decayCurve:"exponential",release:1,releaseCurve:"exponential",sustain:.5})}get value(){return this.getValueAtTime(this.now())}_getCurve(t,e){if(pi(t))return t;{let n;for(n in Ma)if(Ma[n][e]===t)return n;return t}}_setCurve(t,e,n){if(pi(n)&&Reflect.has(Ma,n)){const r=Ma[n];li(r)?"_decayCurve"!==t&&(this[t]=r[e]):this[t]=r}else{if(!di(n)||"_decayCurve"===t)throw new Error("Envelope: invalid curve: "+n);this[t]=n}}get attackCurve(){return this._getCurve(this._attackCurve,"In")}set attackCurve(t){this._setCurve("_attackCurve","In",t)}get releaseCurve(){return this._getCurve(this._releaseCurve,"Out")}set releaseCurve(t){this._setCurve("_releaseCurve","Out",t)}get decayCurve(){return this._decayCurve}set decayCurve(t){Zr(["linear","exponential"].some(e=>e===t),"Invalid envelope curve: "+t),this._decayCurve=t}triggerAttack(t,e=1){this.log("triggerAttack",t,e),t=this.toSeconds(t);let n=this.toSeconds(this.attack);const r=this.toSeconds(this.decay),i=this.getValueAtTime(t);if(i>0){n=(1-i)/(1/n)}if(n0){const n=this.toSeconds(this.release);n{let t,e;const n=[];for(t=0;t<128;t++)n[t]=Math.sin(t/127*(Math.PI/2));const r=[];for(t=0;t<127;t++){e=t/127;const n=Math.sin(e*(2*Math.PI)*6.4-Math.PI/2)+1;r[t]=n/10+.83*e}r[127]=1;const i=[];for(t=0;t<128;t++)i[t]=Math.ceil(t/127*5)/5;const s=[];for(t=0;t<128;t++)e=t/127,s[t]=.5*(1-Math.cos(Math.PI*e));const a=[];for(t=0;t<128;t++){e=t/127;const n=4*Math.pow(e,3)+.2,r=Math.cos(n*Math.PI*2*e);a[t]=Math.abs(r*(1-e))}function o(t){const e=new Array(t.length);for(let n=0;n{const r=t[e],i=this.context.transport.schedule(r=>{t[e]=r,n.apply(this,t)},r);this._scheduledEvents.push(i)}}unsync(){return this._scheduledEvents.forEach(t=>this.context.transport.clear(t)),this._scheduledEvents=[],this._synced&&(this._synced=!1,this.triggerAttack=this._original_triggerAttack,this.triggerRelease=this._original_triggerRelease),this}triggerAttackRelease(t,e,n,r){const i=this.toSeconds(n),s=this.toSeconds(e);return this.triggerAttack(t,i,r),this.triggerRelease(i+s),this}dispose(){return super.dispose(),this._volume.dispose(),this.unsync(),this._scheduledEvents=[],this}}class Ra extends Da{constructor(){super(Ci(Ra.getDefaults(),arguments));const t=Ci(Ra.getDefaults(),arguments);this.portamento=t.portamento,this.onsilence=t.onsilence}static getDefaults(){return Object.assign(Da.getDefaults(),{detune:0,onsilence:Gi,portamento:0})}triggerAttack(t,e,n=1){this.log("triggerAttack",t,e,n);const r=this.toSeconds(e);return this._triggerEnvelopeAttack(r,n),this.setNote(t,r),this}triggerRelease(t){this.log("triggerRelease",t);const e=this.toSeconds(t);return this._triggerEnvelopeRelease(e),this}setNote(t,e){const n=this.toSeconds(e),r=t instanceof ls?t.toFrequency():t;if(this.portamento>0&&this.getLevelAtTime(n)>.05){const t=this.toSeconds(this.portamento);this.frequency.exponentialRampTo(r,t,n)}else this.frequency.setValueAtTime(r,n);return this}}bi([va(0)],Ra.prototype,"portamento",void 0);class Pa extends ja{constructor(){super(Ci(Pa.getDefaults(),arguments,["attack","decay","sustain","release"])),this.name="AmplitudeEnvelope",this._gainNode=new Os({context:this.context,gain:0}),this.output=this._gainNode,this.input=this._gainNode,this._sig.connect(this._gainNode.gain),this.output=this._gainNode,this.input=this._gainNode}dispose(){return super.dispose(),this._gainNode.dispose(),this}}class Fa extends Ra{constructor(){super(Ci(Fa.getDefaults(),arguments)),this.name="Synth";const t=Ci(Fa.getDefaults(),arguments);this.oscillator=new pa(Object.assign({context:this.context,detune:t.detune,onstop:()=>this.onsilence(this)},t.oscillator)),this.frequency=this.oscillator.frequency,this.detune=this.oscillator.detune,this.envelope=new Pa(Object.assign({context:this.context},t.envelope)),this.oscillator.chain(this.envelope,this.output),Ui(this,["oscillator","frequency","detune","envelope"])}static getDefaults(){return Object.assign(Ra.getDefaults(),{envelope:Object.assign(Ni(ja.getDefaults(),Object.keys(vs.getDefaults())),{attack:.005,decay:.1,release:1,sustain:.3}),oscillator:Object.assign(Ni(pa.getDefaults(),[...Object.keys(Ks.getDefaults()),"frequency","detune"]),{type:"triangle"})})}_triggerEnvelopeAttack(t,e){if(this.envelope.triggerAttack(t,e),this.oscillator.start(t),0===this.envelope.sustain){const e=this.toSeconds(this.envelope.attack),n=this.toSeconds(this.envelope.decay);this.oscillator.stop(t+e+n)}}_triggerEnvelopeRelease(t){this.envelope.triggerRelease(t),this.oscillator.stop(t+this.toSeconds(this.envelope.release))}getLevelAtTime(t){return t=this.toSeconds(t),this.envelope.getValueAtTime(t)}dispose(){return super.dispose(),this.oscillator.dispose(),this.envelope.dispose(),this}}class za extends Ra{constructor(){super(Ci(za.getDefaults(),arguments)),this.name="ModulationSynth";const t=Ci(za.getDefaults(),arguments);this._carrier=new Fa({context:this.context,oscillator:t.oscillator,envelope:t.envelope,onsilence:()=>this.onsilence(this),volume:-10}),this._modulator=new Fa({context:this.context,oscillator:t.modulation,envelope:t.modulationEnvelope,volume:-10}),this.oscillator=this._carrier.oscillator,this.envelope=this._carrier.envelope,this.modulation=this._modulator.oscillator,this.modulationEnvelope=this._modulator.envelope,this.frequency=new Ts({context:this.context,units:"frequency"}),this.detune=new Ts({context:this.context,value:t.detune,units:"cents"}),this.harmonicity=new aa({context:this.context,value:t.harmonicity,minValue:0}),this._modulationNode=new Os({context:this.context,gain:0}),Ui(this,["frequency","harmonicity","oscillator","envelope","modulation","modulationEnvelope","detune"])}static getDefaults(){return Object.assign(Ra.getDefaults(),{harmonicity:3,oscillator:Object.assign(Ni(pa.getDefaults(),[...Object.keys(Ks.getDefaults()),"frequency","detune"]),{type:"sine"}),envelope:Object.assign(Ni(ja.getDefaults(),Object.keys(vs.getDefaults())),{attack:.01,decay:.01,sustain:1,release:.5}),modulation:Object.assign(Ni(pa.getDefaults(),[...Object.keys(Ks.getDefaults()),"frequency","detune"]),{type:"square"}),modulationEnvelope:Object.assign(Ni(ja.getDefaults(),Object.keys(vs.getDefaults())),{attack:.5,decay:0,sustain:1,release:.5})})}_triggerEnvelopeAttack(t,e){this._carrier._triggerEnvelopeAttack(t,e),this._modulator._triggerEnvelopeAttack(t,e)}_triggerEnvelopeRelease(t){return this._carrier._triggerEnvelopeRelease(t),this._modulator._triggerEnvelopeRelease(t),this}getLevelAtTime(t){return t=this.toSeconds(t),this.envelope.getValueAtTime(t)}dispose(){return super.dispose(),this._carrier.dispose(),this._modulator.dispose(),this.frequency.dispose(),this.detune.dispose(),this.harmonicity.dispose(),this._modulationNode.dispose(),this}}class La extends za{constructor(){super(Ci(La.getDefaults(),arguments)),this.name="AMSynth",this._modulationScale=new sa({context:this.context}),this.frequency.connect(this._carrier.frequency),this.frequency.chain(this.harmonicity,this._modulator.frequency),this.detune.fan(this._carrier.detune,this._modulator.detune),this._modulator.chain(this._modulationScale,this._modulationNode.gain),this._carrier.chain(this._modulationNode,this.output)}dispose(){return super.dispose(),this._modulationScale.dispose(),this}}class $a extends vs{constructor(){super(Ci($a.getDefaults(),arguments,["frequency","type"])),this.name="BiquadFilter";const t=Ci($a.getDefaults(),arguments,["frequency","type"]);this._filter=this.context.createBiquadFilter(),this.input=this.output=this._filter,this.Q=new ys({context:this.context,units:"number",value:t.Q,param:this._filter.Q}),this.frequency=new ys({context:this.context,units:"frequency",value:t.frequency,param:this._filter.frequency}),this.detune=new ys({context:this.context,units:"cents",value:t.detune,param:this._filter.detune}),this.gain=new ys({context:this.context,units:"gain",value:t.gain,param:this._filter.gain}),this.type=t.type}static getDefaults(){return Object.assign(vs.getDefaults(),{Q:1,type:"lowpass",frequency:350,detune:0,gain:0})}get type(){return this._filter.type}set type(t){Zr(-1!==["lowpass","highpass","bandpass","lowshelf","highshelf","notch","allpass","peaking"].indexOf(t),"Invalid filter type: "+t),this._filter.type=t}getFrequencyResponse(t=128){const e=new Float32Array(t);for(let n=0;ne.type=t)}get rolloff(){return this._rolloff}set rolloff(t){const e=ci(t)?t:parseInt(t,10),n=[-12,-24,-48,-96];let r=n.indexOf(e);Zr(-1!==r,"rolloff can only be "+n.join(", ")),r+=1,this._rolloff=e,this.input.disconnect(),this._filters.forEach(t=>t.disconnect()),this._filters=new Array(r);for(let t=0;t1);return this._filters.forEach(()=>{e.getFrequencyResponse(t).forEach((t,e)=>n[e]*=t)}),e.dispose(),n}dispose(){return super.dispose(),this._filters.forEach(t=>{t.dispose()}),Wi(this,["detune","frequency","gain","Q"]),this.frequency.dispose(),this.Q.dispose(),this.detune.dispose(),this.gain.dispose(),this}}class qa extends ja{constructor(){super(Ci(qa.getDefaults(),arguments,["attack","decay","sustain","release"])),this.name="FrequencyEnvelope";const t=Ci(qa.getDefaults(),arguments,["attack","decay","sustain","release"]);this._octaves=t.octaves,this._baseFrequency=this.toFrequency(t.baseFrequency),this._exponent=this.input=new Na({context:this.context,value:t.exponent}),this._scale=this.output=new ma({context:this.context,min:this._baseFrequency,max:this._baseFrequency*Math.pow(2,this._octaves)}),this._sig.chain(this._exponent,this._scale)}static getDefaults(){return Object.assign(ja.getDefaults(),{baseFrequency:200,exponent:1,octaves:4})}get baseFrequency(){return this._baseFrequency}set baseFrequency(t){const e=this.toFrequency(t);ti(e,0),this._baseFrequency=e,this._scale.min=this._baseFrequency,this.octaves=this._octaves}get octaves(){return this._octaves}set octaves(t){ti(t,0),this._octaves=t,this._scale.max=this._baseFrequency*Math.pow(2,t)}get exponent(){return this._exponent.value}set exponent(t){this._exponent.value=t}dispose(){return super.dispose(),this._exponent.dispose(),this._scale.dispose(),this}}class Va extends Ra{constructor(){super(Ci(Va.getDefaults(),arguments)),this.name="MonoSynth";const t=Ci(Va.getDefaults(),arguments);this.oscillator=new pa(Object.assign(t.oscillator,{context:this.context,detune:t.detune,onstop:()=>this.onsilence(this)})),this.frequency=this.oscillator.frequency,this.detune=this.oscillator.detune,this.filter=new Ba(Object.assign(t.filter,{context:this.context})),this.filterEnvelope=new qa(Object.assign(t.filterEnvelope,{context:this.context})),this.envelope=new Pa(Object.assign(t.envelope,{context:this.context})),this.oscillator.chain(this.filter,this.envelope,this.output),this.filterEnvelope.connect(this.filter.frequency),Ui(this,["oscillator","frequency","detune","filter","filterEnvelope","envelope"])}static getDefaults(){return Object.assign(Ra.getDefaults(),{envelope:Object.assign(Ni(ja.getDefaults(),Object.keys(vs.getDefaults())),{attack:.005,decay:.1,release:1,sustain:.9}),filter:Object.assign(Ni(Ba.getDefaults(),Object.keys(vs.getDefaults())),{Q:1,rolloff:-12,type:"lowpass"}),filterEnvelope:Object.assign(Ni(qa.getDefaults(),Object.keys(vs.getDefaults())),{attack:.6,baseFrequency:200,decay:.2,exponent:2,octaves:3,release:2,sustain:.5}),oscillator:Object.assign(Ni(pa.getDefaults(),Object.keys(Ks.getDefaults())),{type:"sawtooth"})})}_triggerEnvelopeAttack(t,e=1){if(this.envelope.triggerAttack(t,e),this.filterEnvelope.triggerAttack(t),this.oscillator.start(t),0===this.envelope.sustain){const e=this.toSeconds(this.envelope.attack),n=this.toSeconds(this.envelope.decay);this.oscillator.stop(t+e+n)}}_triggerEnvelopeRelease(t){this.envelope.triggerRelease(t),this.filterEnvelope.triggerRelease(t),this.oscillator.stop(t+this.toSeconds(this.envelope.release))}getLevelAtTime(t){return t=this.toSeconds(t),this.envelope.getValueAtTime(t)}dispose(){return super.dispose(),this.oscillator.dispose(),this.envelope.dispose(),this.filterEnvelope.dispose(),this.filter.dispose(),this}}class Ua extends Ra{constructor(){super(Ci(Ua.getDefaults(),arguments)),this.name="DuoSynth";const t=Ci(Ua.getDefaults(),arguments);this.voice0=new Va(Object.assign(t.voice0,{context:this.context,onsilence:()=>this.onsilence(this)})),this.voice1=new Va(Object.assign(t.voice1,{context:this.context})),this.harmonicity=new aa({context:this.context,units:"positive",value:t.harmonicity}),this._vibrato=new ba({frequency:t.vibratoRate,context:this.context,min:-50,max:50}),this._vibrato.start(),this.vibratoRate=this._vibrato.frequency,this._vibratoGain=new Os({context:this.context,units:"normalRange",gain:t.vibratoAmount}),this.vibratoAmount=this._vibratoGain.gain,this.frequency=new Ts({context:this.context,units:"frequency",value:440}),this.detune=new Ts({context:this.context,units:"cents",value:t.detune}),this.frequency.connect(this.voice0.frequency),this.frequency.chain(this.harmonicity,this.voice1.frequency),this._vibrato.connect(this._vibratoGain),this._vibratoGain.fan(this.voice0.detune,this.voice1.detune),this.detune.fan(this.voice0.detune,this.voice1.detune),this.voice0.connect(this.output),this.voice1.connect(this.output),Ui(this,["voice0","voice1","frequency","vibratoAmount","vibratoRate"])}getLevelAtTime(t){return t=this.toSeconds(t),this.voice0.envelope.getValueAtTime(t)+this.voice1.envelope.getValueAtTime(t)}static getDefaults(){return Ti(Ra.getDefaults(),{vibratoAmount:.5,vibratoRate:5,harmonicity:1.5,voice0:Ti(Ni(Va.getDefaults(),Object.keys(Ra.getDefaults())),{filterEnvelope:{attack:.01,decay:0,sustain:1,release:.5},envelope:{attack:.01,decay:0,sustain:1,release:.5}}),voice1:Ti(Ni(Va.getDefaults(),Object.keys(Ra.getDefaults())),{filterEnvelope:{attack:.01,decay:0,sustain:1,release:.5},envelope:{attack:.01,decay:0,sustain:1,release:.5}})})}_triggerEnvelopeAttack(t,e){this.voice0._triggerEnvelopeAttack(t,e),this.voice1._triggerEnvelopeAttack(t,e)}_triggerEnvelopeRelease(t){return this.voice0._triggerEnvelopeRelease(t),this.voice1._triggerEnvelopeRelease(t),this}dispose(){return super.dispose(),this.voice0.dispose(),this.voice1.dispose(),this.frequency.dispose(),this.detune.dispose(),this._vibrato.dispose(),this.vibratoRate.dispose(),this._vibratoGain.dispose(),this.harmonicity.dispose(),this}}class Wa extends za{constructor(){super(Ci(Wa.getDefaults(),arguments)),this.name="FMSynth";const t=Ci(Wa.getDefaults(),arguments);this.modulationIndex=new aa({context:this.context,value:t.modulationIndex}),this.frequency.connect(this._carrier.frequency),this.frequency.chain(this.harmonicity,this._modulator.frequency),this.frequency.chain(this.modulationIndex,this._modulationNode),this.detune.fan(this._carrier.detune,this._modulator.detune),this._modulator.connect(this._modulationNode.gain),this._modulationNode.connect(this._carrier.frequency),this._carrier.connect(this.output)}static getDefaults(){return Object.assign(za.getDefaults(),{modulationIndex:10})}dispose(){return super.dispose(),this.modulationIndex.dispose(),this}}const Ga=[1,1.483,1.932,2.546,2.63,3.897];class Ha extends Ra{constructor(){super(Ci(Ha.getDefaults(),arguments)),this.name="MetalSynth",this._oscillators=[],this._freqMultipliers=[];const t=Ci(Ha.getDefaults(),arguments);this.detune=new Ts({context:this.context,units:"cents",value:t.detune}),this.frequency=new Ts({context:this.context,units:"frequency"}),this._amplitude=new Os({context:this.context,gain:0}).connect(this.output),this._highpass=new Ba({Q:0,context:this.context,type:"highpass"}).connect(this._amplitude);for(let e=0;ethis.onsilence(this):Gi,type:"square"});n.connect(this._highpass),this._oscillators[e]=n;const r=new aa({context:this.context,value:Ga[e]});this._freqMultipliers[e]=r,this.frequency.chain(r,n.frequency),this.detune.connect(n.detune)}this._filterFreqScaler=new ma({context:this.context,max:7e3,min:this.toFrequency(t.resonance)}),this.envelope=new ja({attack:t.envelope.attack,attackCurve:"linear",context:this.context,decay:t.envelope.decay,release:t.envelope.release,sustain:0}),this.envelope.chain(this._filterFreqScaler,this._highpass.frequency),this.envelope.connect(this._amplitude.gain),this._octaves=t.octaves,this.octaves=t.octaves}static getDefaults(){return Ti(Ra.getDefaults(),{envelope:Object.assign(Ni(ja.getDefaults(),Object.keys(vs.getDefaults())),{attack:.001,decay:1.4,release:.2}),harmonicity:5.1,modulationIndex:32,octaves:1.5,resonance:4e3})}_triggerEnvelopeAttack(t,e=1){return this.envelope.triggerAttack(t,e),this._oscillators.forEach(e=>e.start(t)),0===this.envelope.sustain&&this._oscillators.forEach(e=>{e.stop(t+this.toSeconds(this.envelope.attack)+this.toSeconds(this.envelope.decay))}),this}_triggerEnvelopeRelease(t){return this.envelope.triggerRelease(t),this._oscillators.forEach(e=>e.stop(t+this.toSeconds(this.envelope.release))),this}getLevelAtTime(t){return t=this.toSeconds(t),this.envelope.getValueAtTime(t)}get modulationIndex(){return this._oscillators[0].modulationIndex.value}set modulationIndex(t){this._oscillators.forEach(e=>e.modulationIndex.value=t)}get harmonicity(){return this._oscillators[0].harmonicity.value}set harmonicity(t){this._oscillators.forEach(e=>e.harmonicity.value=t)}get resonance(){return this._filterFreqScaler.min}set resonance(t){this._filterFreqScaler.min=this.toFrequency(t),this.octaves=this._octaves}get octaves(){return this._octaves}set octaves(t){this._octaves=t,this._filterFreqScaler.max=this._filterFreqScaler.min*Math.pow(2,t)}dispose(){return super.dispose(),this._oscillators.forEach(t=>t.dispose()),this._freqMultipliers.forEach(t=>t.dispose()),this.frequency.dispose(),this.detune.dispose(),this._filterFreqScaler.dispose(),this._amplitude.dispose(),this.envelope.dispose(),this._highpass.dispose(),this}}class Ka extends Fa{constructor(){super(Ci(Ka.getDefaults(),arguments)),this.name="MembraneSynth",this.portamento=0;const t=Ci(Ka.getDefaults(),arguments);this.pitchDecay=t.pitchDecay,this.octaves=t.octaves,Ui(this,["oscillator","envelope"])}static getDefaults(){return Ti(Ra.getDefaults(),Fa.getDefaults(),{envelope:{attack:.001,attackCurve:"exponential",decay:.4,release:1.4,sustain:.01},octaves:10,oscillator:{type:"sine"},pitchDecay:.05})}setNote(t,e){const n=this.toSeconds(e),r=this.toFrequency(t instanceof ls?t.toFrequency():t),i=r*this.octaves;return this.oscillator.frequency.setValueAtTime(i,n),this.oscillator.frequency.exponentialRampToValueAtTime(r,n+this.toSeconds(this.pitchDecay)),this}dispose(){return super.dispose(),this}}bi([ya(0)],Ka.prototype,"octaves",void 0),bi([va(0)],Ka.prototype,"pitchDecay",void 0);class Qa extends Da{constructor(){super(Ci(Qa.getDefaults(),arguments)),this.name="NoiseSynth";const t=Ci(Qa.getDefaults(),arguments);this.noise=new Xs(Object.assign({context:this.context},t.noise)),this.envelope=new Pa(Object.assign({context:this.context},t.envelope)),this.noise.chain(this.envelope,this.output)}static getDefaults(){return Object.assign(Da.getDefaults(),{envelope:Object.assign(Ni(ja.getDefaults(),Object.keys(vs.getDefaults())),{decay:.1,sustain:0}),noise:Object.assign(Ni(Xs.getDefaults(),Object.keys(Ks.getDefaults())),{type:"white"})})}triggerAttack(t,e=1){return t=this.toSeconds(t),this.envelope.triggerAttack(t,e),this.noise.start(t),0===this.envelope.sustain&&this.noise.stop(t+this.toSeconds(this.envelope.attack)+this.toSeconds(this.envelope.decay)),this}triggerRelease(t){return t=this.toSeconds(t),this.envelope.triggerRelease(t),this.noise.stop(t+this.toSeconds(this.envelope.release)),this}sync(){return this._syncState()&&(this._syncMethod("triggerAttack",0),this._syncMethod("triggerRelease",0)),this}triggerAttackRelease(t,e,n=1){return e=this.toSeconds(e),t=this.toSeconds(t),this.triggerAttack(e,n),this.triggerRelease(e+t),this}dispose(){return super.dispose(),this.noise.dispose(),this.envelope.dispose(),this}}const Xa=new Set;function Ya(t){Xa.add(t)}function Ja(t,e){const n=`registerProcessor("${t}", ${e})`;Xa.add(n)}class Za extends vs{constructor(t){super(t),this.name="ToneAudioWorklet",this.workletOptions={},this.onprocessorerror=Gi;const e=URL.createObjectURL(new Blob([Array.from(Xa).join("\n")],{type:"text/javascript"})),n=this._audioWorkletName();this._dummyGain=this.context.createGain(),this._dummyParam=this._dummyGain.gain,this.context.addAudioWorkletModule(e,n).then(()=>{this.disposed||(this._worklet=this.context.createAudioWorkletNode(n,this.workletOptions),this._worklet.onprocessorerror=this.onprocessorerror.bind(this),this.onReady(this._worklet))})}dispose(){return super.dispose(),this._dummyGain.disconnect(),this._worklet&&(this._worklet.port.postMessage("dispose"),this._worklet.disconnect()),this}}Ya('\n\t/**\n\t * The base AudioWorkletProcessor for use in Tone.js. Works with the [[ToneAudioWorklet]]. \n\t */\n\tclass ToneAudioWorkletProcessor extends AudioWorkletProcessor {\n\n\t\tconstructor(options) {\n\t\t\t\n\t\t\tsuper(options);\n\t\t\t/**\n\t\t\t * If the processor was disposed or not. Keep alive until it\'s disposed.\n\t\t\t */\n\t\t\tthis.disposed = false;\n\t\t \t/** \n\t\t\t * The number of samples in the processing block\n\t\t\t */\n\t\t\tthis.blockSize = 128;\n\t\t\t/**\n\t\t\t * the sample rate\n\t\t\t */\n\t\t\tthis.sampleRate = sampleRate;\n\n\t\t\tthis.port.onmessage = (event) => {\n\t\t\t\t// when it receives a dispose \n\t\t\t\tif (event.data === "dispose") {\n\t\t\t\t\tthis.disposed = true;\n\t\t\t\t}\n\t\t\t};\n\t\t}\n\t}\n');Ya("\n\t/**\n\t * Abstract class for a single input/output processor. \n\t * has a 'generate' function which processes one sample at a time\n\t */\n\tclass SingleIOProcessor extends ToneAudioWorkletProcessor {\n\n\t\tconstructor(options) {\n\t\t\tsuper(Object.assign(options, {\n\t\t\t\tnumberOfInputs: 1,\n\t\t\t\tnumberOfOutputs: 1\n\t\t\t}));\n\t\t\t/**\n\t\t\t * Holds the name of the parameter and a single value of that\n\t\t\t * parameter at the current sample\n\t\t\t * @type { [name: string]: number }\n\t\t\t */\n\t\t\tthis.params = {}\n\t\t}\n\n\t\t/**\n\t\t * Generate an output sample from the input sample and parameters\n\t\t * @abstract\n\t\t * @param input number\n\t\t * @param channel number\n\t\t * @param parameters { [name: string]: number }\n\t\t * @returns number\n\t\t */\n\t\tgenerate(){}\n\n\t\t/**\n\t\t * Update the private params object with the \n\t\t * values of the parameters at the given index\n\t\t * @param parameters { [name: string]: Float32Array },\n\t\t * @param index number\n\t\t */\n\t\tupdateParams(parameters, index) {\n\t\t\tfor (const paramName in parameters) {\n\t\t\t\tconst param = parameters[paramName];\n\t\t\t\tif (param.length > 1) {\n\t\t\t\t\tthis.params[paramName] = parameters[paramName][index];\n\t\t\t\t} else {\n\t\t\t\t\tthis.params[paramName] = parameters[paramName][0];\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t/**\n\t\t * Process a single frame of the audio\n\t\t * @param inputs Float32Array[][]\n\t\t * @param outputs Float32Array[][]\n\t\t */\n\t\tprocess(inputs, outputs, parameters) {\n\t\t\tconst input = inputs[0];\n\t\t\tconst output = outputs[0];\n\t\t\t// get the parameter values\n\t\t\tconst channelCount = Math.max(input && input.length || 0, output.length);\n\t\t\tfor (let sample = 0; sample < this.blockSize; sample++) {\n\t\t\t\tthis.updateParams(parameters, sample);\n\t\t\t\tfor (let channel = 0; channel < channelCount; channel++) {\n\t\t\t\t\tconst inputSample = input && input.length ? input[channel][sample] : 0;\n\t\t\t\t\toutput[channel][sample] = this.generate(inputSample, channel, this.params);\n\t\t\t\t}\n\t\t\t}\n\t\t\treturn !this.disposed;\n\t\t}\n\t};\n");Ya("\n\t/**\n\t * A multichannel buffer for use within an AudioWorkletProcessor as a delay line\n\t */\n\tclass DelayLine {\n\t\t\n\t\tconstructor(size, channels) {\n\t\t\tthis.buffer = [];\n\t\t\tthis.writeHead = []\n\t\t\tthis.size = size;\n\n\t\t\t// create the empty channels\n\t\t\tfor (let i = 0; i < channels; i++) {\n\t\t\t\tthis.buffer[i] = new Float32Array(this.size);\n\t\t\t\tthis.writeHead[i] = 0;\n\t\t\t}\n\t\t}\n\n\t\t/**\n\t\t * Push a value onto the end\n\t\t * @param channel number\n\t\t * @param value number\n\t\t */\n\t\tpush(channel, value) {\n\t\t\tthis.writeHead[channel] += 1;\n\t\t\tif (this.writeHead[channel] > this.size) {\n\t\t\t\tthis.writeHead[channel] = 0;\n\t\t\t}\n\t\t\tthis.buffer[channel][this.writeHead[channel]] = value;\n\t\t}\n\n\t\t/**\n\t\t * Get the recorded value of the channel given the delay\n\t\t * @param channel number\n\t\t * @param delay number delay samples\n\t\t */\n\t\tget(channel, delay) {\n\t\t\tlet readHead = this.writeHead[channel] - Math.floor(delay);\n\t\t\tif (readHead < 0) {\n\t\t\t\treadHead += this.size;\n\t\t\t}\n\t\t\treturn this.buffer[channel][readHead];\n\t\t}\n\t}\n");Ja("feedback-comb-filter",'\n\tclass FeedbackCombFilterWorklet extends SingleIOProcessor {\n\n\t\tconstructor(options) {\n\t\t\tsuper(options);\n\t\t\tthis.delayLine = new DelayLine(this.sampleRate, options.channelCount || 2);\n\t\t}\n\n\t\tstatic get parameterDescriptors() {\n\t\t\treturn [{\n\t\t\t\tname: "delayTime",\n\t\t\t\tdefaultValue: 0.1,\n\t\t\t\tminValue: 0,\n\t\t\t\tmaxValue: 1,\n\t\t\t\tautomationRate: "k-rate"\n\t\t\t}, {\n\t\t\t\tname: "feedback",\n\t\t\t\tdefaultValue: 0.5,\n\t\t\t\tminValue: 0,\n\t\t\t\tmaxValue: 0.9999,\n\t\t\t\tautomationRate: "k-rate"\n\t\t\t}];\n\t\t}\n\n\t\tgenerate(input, channel, parameters) {\n\t\t\tconst delayedSample = this.delayLine.get(channel, parameters.delayTime * this.sampleRate);\n\t\t\tthis.delayLine.push(channel, input + delayedSample * parameters.feedback);\n\t\t\treturn delayedSample;\n\t\t}\n\t}\n');class to extends Za{constructor(){super(Ci(to.getDefaults(),arguments,["delayTime","resonance"])),this.name="FeedbackCombFilter";const t=Ci(to.getDefaults(),arguments,["delayTime","resonance"]);this.input=new Os({context:this.context}),this.output=new Os({context:this.context}),this.delayTime=new ys({context:this.context,value:t.delayTime,units:"time",minValue:0,maxValue:1,param:this._dummyParam,swappable:!0}),this.resonance=new ys({context:this.context,value:t.resonance,units:"normalRange",param:this._dummyParam,swappable:!0}),Ui(this,["resonance","delayTime"])}_audioWorkletName(){return"feedback-comb-filter"}static getDefaults(){return Object.assign(vs.getDefaults(),{delayTime:.1,resonance:.5})}onReady(t){ws(this.input,t,this.output);const e=t.parameters.get("delayTime");this.delayTime.setParam(e);const n=t.parameters.get("feedback");this.resonance.setParam(n)}dispose(){return super.dispose(),this.input.dispose(),this.output.dispose(),this.delayTime.dispose(),this.resonance.dispose(),this}}class eo extends vs{constructor(){super(Ci(eo.getDefaults(),arguments,["frequency","type"])),this.name="OnePoleFilter";const t=Ci(eo.getDefaults(),arguments,["frequency","type"]);this._frequency=t.frequency,this._type=t.type,this.input=new Os({context:this.context}),this.output=new Os({context:this.context}),this._createFilter()}static getDefaults(){return Object.assign(vs.getDefaults(),{frequency:880,type:"lowpass"})}_createFilter(){const t=this._filter,e=this.toFrequency(this._frequency),n=1/(2*Math.PI*e);if("lowpass"===this._type){const t=1/(n*this.context.sampleRate),e=t-1;this._filter=this.context.createIIRFilter([t,0],[1,e])}else{const t=1/(n*this.context.sampleRate)-1;this._filter=this.context.createIIRFilter([1,-1],[1,t])}this.input.chain(this._filter,this.output),t&&this.context.setTimeout(()=>{this.disposed||(this.input.disconnect(t),t.disconnect())},this.blockTime)}get frequency(){return this._frequency}set frequency(t){this._frequency=t,this._createFilter()}get type(){return this._type}set type(t){this._type=t,this._createFilter()}getFrequencyResponse(t=128){const e=new Float32Array(t);for(let n=0;ne.voice===t);this._activeVoices.splice(e,1)}_getNextAvailableVoice(){if(this._availableVoices.length)return this._availableVoices.shift();if(this._voices.lengthMath.ceil(this._averageActiveVoices+1)){const t=this._availableVoices.shift(),e=this._voices.indexOf(t);this._voices.splice(e,1),this.context.isOffline||t.dispose()}}_triggerAttack(t,e,n){t.forEach(t=>{const r=new Rs(this.context,t).toMidi(),i=this._getNextAvailableVoice();i&&(i.triggerAttack(t,e,n),this._activeVoices.push({midi:r,voice:i,released:!1}),this.log("triggerAttack",t,e))})}_triggerRelease(t,e){t.forEach(t=>{const n=new Rs(this.context,t).toMidi(),r=this._activeVoices.find(({midi:t,released:e})=>t===n&&!e);r&&(r.voice.triggerRelease(e),r.released=!0,this.log("triggerRelease",t,e))})}_scheduleEvent(t,e,n,r){Zr(!this.disposed,"Synth was already disposed"),n<=this.now()?"attack"===t?this._triggerAttack(e,n,r):this._triggerRelease(e,n):this.context.setTimeout(()=>{this._scheduleEvent(t,e,n,r)},n-this.now())}triggerAttack(t,e,n){Array.isArray(t)||(t=[t]);const r=this.toSeconds(e);return this._scheduleEvent("attack",t,r,n),this}triggerRelease(t,e){Array.isArray(t)||(t=[t]);const n=this.toSeconds(e);return this._scheduleEvent("release",t,n),this}triggerAttackRelease(t,e,n,r){const i=this.toSeconds(n);if(this.triggerAttack(t,i,r),di(e)){Zr(di(t),"If the duration is an array, the notes must also be an array"),t=t;for(let n=0;n0,"The duration must be greater than 0"),this.triggerRelease(t[n],i+s)}}else{const n=this.toSeconds(e);Zr(n>0,"The duration must be greater than 0"),this.triggerRelease(t,i+n)}return this}sync(){return this._syncState()&&(this._syncMethod("triggerAttack",1),this._syncMethod("triggerRelease",1)),this}set(t){const e=Ni(t,["onsilence","context"]);return this.options=Ti(this.options,e),this._voices.forEach(t=>t.set(e)),this._dummyVoice.set(e),this}get(){return this._dummyVoice.get()}releaseAll(t){const e=this.toSeconds(t);return this._activeVoices.forEach(({voice:t})=>{t.triggerRelease(e)}),this}dispose(){return super.dispose(),this._dummyVoice.dispose(),this._voices.forEach(t=>t.dispose()),this._activeVoices=[],this._availableVoices=[],this.context.clearInterval(this._gcTimeout),this}}class so extends Da{constructor(){super(Ci(so.getDefaults(),arguments,["urls","onload","baseUrl"],"urls")),this.name="Sampler",this._activeSources=new Map;const t=Ci(so.getDefaults(),arguments,["urls","onload","baseUrl"],"urls"),e={};Object.keys(t.urls).forEach(n=>{const r=parseInt(n,10);if(Zr(fi(n)||ci(r)&&isFinite(r),"url key is neither a note or midi pitch: "+n),fi(n)){const r=new ls(this.context,n).toMidi();e[r]=t.urls[n]}else ci(r)&&isFinite(r)&&(e[r]=t.urls[r])}),this._buffers=new Ds({urls:e,onload:t.onload,baseUrl:t.baseUrl,onerror:t.onerror}),this.attack=t.attack,this.release=t.release,this.curve=t.curve,this._buffers.loaded&&Promise.resolve().then(t.onload)}static getDefaults(){return Object.assign(Da.getDefaults(),{attack:0,baseUrl:"",curve:"exponential",onload:Gi,onerror:Gi,release:.1,urls:{}})}_findClosest(t){let e=0;for(;e<96;){if(this._buffers.has(t+e))return-e;if(this._buffers.has(t-e))return e;e++}throw new Error("No available buffers for note: "+t)}triggerAttack(t,e,n=1){return this.log("triggerAttack",t,e,n),Array.isArray(t)||(t=[t]),t.forEach(t=>{const r=ss(new ls(this.context,t).toFrequency()),i=Math.round(r),s=r-i,a=this._findClosest(i),o=i-a,u=this._buffers.get(o),c=ns(a+s),l=new Qs({url:u,context:this.context,curve:this.curve,fadeIn:this.attack,fadeOut:this.release,playbackRate:c}).connect(this.output);l.start(e,0,u.duration/c,n),di(this._activeSources.get(i))||this._activeSources.set(i,[]),this._activeSources.get(i).push(l),l.onended=()=>{if(this._activeSources&&this._activeSources.has(i)){const t=this._activeSources.get(i),e=t.indexOf(l);-1!==e&&t.splice(e,1)}}}),this}triggerRelease(t,e){return this.log("triggerRelease",t,e),Array.isArray(t)||(t=[t]),t.forEach(t=>{const n=new ls(this.context,t).toMidi();if(this._activeSources.has(n)&&this._activeSources.get(n).length){const t=this._activeSources.get(n);e=this.toSeconds(e),t.forEach(t=>{t.stop(e)}),this._activeSources.set(n,[])}}),this}releaseAll(t){const e=this.toSeconds(t);return this._activeSources.forEach(t=>{for(;t.length;){t.shift().stop(e)}}),this}sync(){return this._syncState()&&(this._syncMethod("triggerAttack",1),this._syncMethod("triggerRelease",1)),this}triggerAttackRelease(t,e,n,r=1){const i=this.toSeconds(n);return this.triggerAttack(t,i,r),di(e)?(Zr(di(t),"notes must be an array when duration is array"),t.forEach((t,n)=>{const r=e[Math.min(n,e.length-1)];this.triggerRelease(t,i+this.toSeconds(r))})):this.triggerRelease(t,i+this.toSeconds(e)),this}add(t,e,n){if(Zr(fi(t)||isFinite(t),"note must be a pitch or midi: "+t),fi(t)){const r=new ls(this.context,t).toMidi();this._buffers.add(r,e,n)}else this._buffers.add(t,e,n);return this}get loaded(){return this._buffers.loaded}dispose(){return super.dispose(),this._buffers.dispose(),this._activeSources.forEach(t=>{t.forEach(t=>t.dispose())}),this._activeSources.clear(),this}}bi([va(0)],so.prototype,"attack",void 0),bi([va(0)],so.prototype,"release",void 0);class ao extends gs{constructor(){super(Ci(ao.getDefaults(),arguments,["callback","value"])),this.name="ToneEvent",this._state=new bs("stopped"),this._startOffset=0;const t=Ci(ao.getDefaults(),arguments,["callback","value"]);this._loop=t.loop,this.callback=t.callback,this.value=t.value,this._loopStart=this.toTicks(t.loopStart),this._loopEnd=this.toTicks(t.loopEnd),this._playbackRate=t.playbackRate,this._probability=t.probability,this._humanize=t.humanize,this.mute=t.mute,this._playbackRate=t.playbackRate,this._state.increasing=!0,this._rescheduleEvents()}static getDefaults(){return Object.assign(gs.getDefaults(),{callback:Gi,humanize:!1,loop:!1,loopEnd:"1m",loopStart:0,mute:!1,playbackRate:1,probability:1,value:null})}_rescheduleEvents(t=-1){this._state.forEachFrom(t,t=>{let e;if("started"===t.state){-1!==t.id&&this.context.transport.clear(t.id);const n=t.time+Math.round(this.startOffset/this._playbackRate);if(!0===this._loop||ci(this._loop)&&this._loop>1){e=1/0,ci(this._loop)&&(e=this._loop*this._getLoopDuration());const r=this._state.getAfter(n);null!==r&&(e=Math.min(e,r.time-n)),e!==1/0&&(this._state.setStateAtTime("stopped",n+e+1,{id:-1}),e=new Fs(this.context,e));const i=new Fs(this.context,this._getLoopDuration());t.id=this.context.transport.scheduleRepeat(this._tick.bind(this),i,new Fs(this.context,n),e)}else t.id=this.context.transport.schedule(this._tick.bind(this),new Fs(this.context,n))}})}get state(){return this._state.getValueAtTime(this.context.transport.ticks)}get startOffset(){return this._startOffset}set startOffset(t){this._startOffset=t}get probability(){return this._probability}set probability(t){this._probability=t}get humanize(){return this._humanize}set humanize(t){this._humanize=t}start(t){const e=this.toTicks(t);return"stopped"===this._state.getValueAtTime(e)&&(this._state.add({id:-1,state:"started",time:e}),this._rescheduleEvents(e)),this}stop(t){this.cancel(t);const e=this.toTicks(t);if("started"===this._state.getValueAtTime(e)){this._state.setStateAtTime("stopped",e,{id:-1});const t=this._state.getBefore(e);let n=e;null!==t&&(n=t.time),this._rescheduleEvents(n)}return this}cancel(t){t=Ai(t,-1/0);const e=this.toTicks(t);return this._state.forEachFrom(e,t=>{this.context.transport.clear(t.id)}),this._state.cancel(e),this}_tick(t){const e=this.context.transport.getTicksAtTime(t);if(!this.mute&&"started"===this._state.getValueAtTime(e)){if(this.probability<1&&Math.random()>this.probability)return;if(this.humanize){let e=.02;hi(this.humanize)||(e=this.toSeconds(this.humanize)),t+=(2*Math.random()-1)*e}this.callback(t,this.value)}}_getLoopDuration(){return Math.round((this._loopEnd-this._loopStart)/this._playbackRate)}get loop(){return this._loop}set loop(t){this._loop=t,this._rescheduleEvents()}get playbackRate(){return this._playbackRate}set playbackRate(t){this._playbackRate=t,this._rescheduleEvents()}get loopEnd(){return new Fs(this.context,this._loopEnd).toSeconds()}set loopEnd(t){this._loopEnd=this.toTicks(t),this._loop&&this._rescheduleEvents()}get loopStart(){return new Fs(this.context,this._loopStart).toSeconds()}set loopStart(t){this._loopStart=this.toTicks(t),this._loop&&this._rescheduleEvents()}get progress(){if(this._loop){const t=this.context.transport.ticks,e=this._state.get(t);if(null!==e&&"started"===e.state){const n=this._getLoopDuration();return(t-e.time)%n/n}return 0}return 0}dispose(){return super.dispose(),this.cancel(),this._state.dispose(),this}}class oo extends gs{constructor(){super(Ci(oo.getDefaults(),arguments,["callback","interval"])),this.name="Loop";const t=Ci(oo.getDefaults(),arguments,["callback","interval"]);this._event=new ao({context:this.context,callback:this._tick.bind(this),loop:!0,loopEnd:t.interval,playbackRate:t.playbackRate,probability:t.probability}),this.callback=t.callback,this.iterations=t.iterations}static getDefaults(){return Object.assign(gs.getDefaults(),{interval:"4n",callback:Gi,playbackRate:1,iterations:1/0,probability:1,mute:!1,humanize:!1})}start(t){return this._event.start(t),this}stop(t){return this._event.stop(t),this}cancel(t){return this._event.cancel(t),this}_tick(t){this.callback(t)}get state(){return this._event.state}get progress(){return this._event.progress}get interval(){return this._event.loopEnd}set interval(t){this._event.loopEnd=t}get playbackRate(){return this._event.playbackRate}set playbackRate(t){this._event.playbackRate=t}get humanize(){return this._event.humanize}set humanize(t){this._event.humanize=t}get probability(){return this._event.probability}set probability(t){this._event.probability=t}get mute(){return this._event.mute}set mute(t){this._event.mute=t}get iterations(){return!0===this._event.loop?1/0:this._event.loop}set iterations(t){this._event.loop=t===1/0||t}dispose(){return super.dispose(),this._event.dispose(),this}}class uo extends ao{constructor(){super(Ci(uo.getDefaults(),arguments,["callback","events"])),this.name="Part",this._state=new bs("stopped"),this._events=new Set;const t=Ci(uo.getDefaults(),arguments,["callback","events"]);this._state.increasing=!0,t.events.forEach(t=>{di(t)?this.add(t[0],t[1]):this.add(t)})}static getDefaults(){return Object.assign(ao.getDefaults(),{events:[]})}start(t,e){const n=this.toTicks(t);if("started"!==this._state.getValueAtTime(n)){e=Ai(e,this._loop?this._loopStart:0),e=this._loop?Ai(e,this._loopStart):Ai(e,0);const t=this.toTicks(e);this._state.add({id:-1,offset:t,state:"started",time:n}),this._forEach(e=>{this._startNote(e,n,t)})}return this}_startNote(t,e,n){e-=n,this._loop?t.startOffset>=this._loopStart&&t.startOffset=n&&(t.loop=!1,t.start(new Fs(this.context,e))):t.startOffset>=n&&t.start(new Fs(this.context,e))}get startOffset(){return this._startOffset}set startOffset(t){this._startOffset=t,this._forEach(t=>{t.startOffset+=this._startOffset})}stop(t){const e=this.toTicks(t);return this._state.cancel(e),this._state.setStateAtTime("stopped",e),this._forEach(e=>{e.stop(t)}),this}at(t,e){const n=new fs(this.context,t).toTicks(),r=new Fs(this.context,1).toSeconds(),i=this._events.values();let s=i.next();for(;!s.done;){const t=s.value;if(Math.abs(n-t.startOffset){"started"===e.state?this._startNote(t,e.time,e.offset):t.stop(new Fs(this.context,e.time))})}remove(t,e){return li(t)&&t.hasOwnProperty("time")&&(t=(e=t).time),t=this.toTicks(t),this._events.forEach(n=>{n.startOffset===t&&(ai(e)||oi(e)&&n.value===e)&&(this._events.delete(n),n.dispose())}),this}clear(){return this._forEach(t=>t.dispose()),this._events.clear(),this}cancel(t){return this._forEach(e=>e.cancel(t)),this._state.cancel(this.toTicks(t)),this}_forEach(t){return this._events&&this._events.forEach(e=>{e instanceof uo?e._forEach(t):t(e)}),this}_setAll(t,e){this._forEach(n=>{n[t]=e})}_tick(t,e){this.mute||this.callback(t,e)}_testLoopBoundries(t){this._loop&&(t.startOffset=this._loopEnd)?t.cancel(0):"stopped"===t.state&&this._restartEvent(t)}get probability(){return this._probability}set probability(t){this._probability=t,this._setAll("probability",t)}get humanize(){return this._humanize}set humanize(t){this._humanize=t,this._setAll("humanize",t)}get loop(){return this._loop}set loop(t){this._loop=t,this._forEach(e=>{e.loopStart=this.loopStart,e.loopEnd=this.loopEnd,e.loop=t,this._testLoopBoundries(e)})}get loopEnd(){return new Fs(this.context,this._loopEnd).toSeconds()}set loopEnd(t){this._loopEnd=this.toTicks(t),this._loop&&this._forEach(e=>{e.loopEnd=t,this._testLoopBoundries(e)})}get loopStart(){return new Fs(this.context,this._loopStart).toSeconds()}set loopStart(t){this._loopStart=this.toTicks(t),this._loop&&this._forEach(t=>{t.loopStart=this.loopStart,this._testLoopBoundries(t)})}get playbackRate(){return this._playbackRate}set playbackRate(t){this._playbackRate=t,this._setAll("playbackRate",t)}get length(){return this._events.size}dispose(){return super.dispose(),this.clear(),this}}function*co(t){let e=0;for(;e=0;)e=po(e,t),yield t[e],e--}function*ho(t,e){for(;;)yield*e(t)}function po(t,e){return Ri(t,0,e.length-1)}function*fo(t,e){let n=e?0:t.length-1;for(;;)n=po(n,t),yield t[n],e?(n++,n>=t.length-1&&(e=!1)):(n--,n<=0&&(e=!0))}function*mo(t){let e=0,n=0;for(;e=0;)e=po(e,t),yield t[e],n++,e+=n%2?-2:1}function*bo(t){const e=[];for(let n=0;n0;){const n=po(e.splice(Math.floor(e.length*Math.random()),1)[0],t);yield t[n]}}function*yo(t,e="up",n=0){switch(Zr(t.length>0,"The array must have more than one value in it"),e){case"up":yield*ho(t,co);case"down":yield*ho(t,lo);case"upDown":yield*fo(t,!0);case"downUp":yield*fo(t,!1);case"alternateUp":yield*ho(t,mo);case"alternateDown":yield*ho(t,go);case"random":yield*function*(t){for(;;){const e=Math.floor(Math.random()*t.length);yield t[e]}}(t);case"randomOnce":yield*ho(t,bo);case"randomWalk":yield*function*(t){let e=Math.floor(Math.random()*t.length);for(;;)0===e?e++:e===t.length-1||Math.random()<.5?e--:e++,yield t[e]}(t)}}class vo extends oo{constructor(){super(Ci(vo.getDefaults(),arguments,["callback","values","pattern"])),this.name="Pattern";const t=Ci(vo.getDefaults(),arguments,["callback","values","pattern"]);this.callback=t.callback,this._values=t.values,this._pattern=yo(t.values,t.pattern),this._type=t.pattern}static getDefaults(){return Object.assign(oo.getDefaults(),{pattern:"up",values:[],callback:Gi})}_tick(t){const e=this._pattern.next();this._value=e.value,this.callback(t,this._value)}get values(){return this._values}set values(t){this._values=t,this.pattern=this._type}get value(){return this._value}get pattern(){return this._type}set pattern(t){this._type=t,this._pattern=yo(this._values,this._type)}}class wo extends ao{constructor(){super(Ci(wo.getDefaults(),arguments,["callback","events","subdivision"])),this.name="Sequence",this._part=new uo({callback:this._seqCallback.bind(this),context:this.context}),this._events=[],this._eventsArray=[];const t=Ci(wo.getDefaults(),arguments,["callback","events","subdivision"]);this._subdivision=this.toTicks(t.subdivision),this.events=t.events,this.loop=t.loop,this.loopStart=t.loopStart,this.loopEnd=t.loopEnd,this.playbackRate=t.playbackRate,this.probability=t.probability,this.humanize=t.humanize,this.mute=t.mute,this.playbackRate=t.playbackRate}static getDefaults(){return Object.assign(Ni(ao.getDefaults(),["value"]),{events:[],loop:!0,loopEnd:0,loopStart:0,subdivision:"8n"})}_seqCallback(t,e){null!==e&&this.callback(t,e)}get events(){return this._events}set events(t){this.clear(),this._eventsArray=t,this._events=this._createSequence(this._eventsArray),this._eventsUpdated()}start(t,e){return this._part.start(t,e?this._indexTime(e):e),this}stop(t){return this._part.stop(t),this}get subdivision(){return new Fs(this.context,this._subdivision).toSeconds()}_createSequence(t){return new Proxy(t,{get:(t,e)=>t[e],set:(t,e,n)=>(pi(e)&&isFinite(parseInt(e,10))&&di(n)?t[e]=this._createSequence(n):t[e]=n,this._eventsUpdated(),!0)})}_eventsUpdated(){this._part.clear(),this._rescheduleSequence(this._eventsArray,this._subdivision,this.startOffset),this.loopEnd=this.loopEnd}_rescheduleSequence(t,e,n){t.forEach((t,r)=>{const i=r*e+n;if(di(t))this._rescheduleSequence(t,e/t.length,i);else{const e=new Fs(this.context,i,"i").toSeconds();this._part.add(e,t)}})}_indexTime(t){return new Fs(this.context,t*this._subdivision+this.startOffset).toSeconds()}clear(){return this._part.clear(),this}dispose(){return super.dispose(),this._part.dispose(),this}get loop(){return this._part.loop}set loop(t){this._part.loop=t}get loopStart(){return this._loopStart}set loopStart(t){this._loopStart=t,this._part.loopStart=this._indexTime(t)}get loopEnd(){return this._loopEnd}set loopEnd(t){this._loopEnd=t,this._part.loopEnd=0===t?this._indexTime(this._eventsArray.length):this._indexTime(t)}get startOffset(){return this._part.startOffset}set startOffset(t){this._part.startOffset=t}get playbackRate(){return this._part.playbackRate}set playbackRate(t){this._part.playbackRate=t}get probability(){return this._part.probability}set probability(t){this._part.probability=t}get progress(){return this._part.progress}get humanize(){return this._part.humanize}set humanize(t){this._part.humanize=t}get length(){return this._part.length}}class xo extends vs{constructor(){super(Object.assign(Ci(xo.getDefaults(),arguments,["fade"]))),this.name="CrossFade",this._panner=this.context.createStereoPanner(),this._split=this.context.createChannelSplitter(2),this._g2a=new Sa({context:this.context}),this.a=new Os({context:this.context,gain:0}),this.b=new Os({context:this.context,gain:0}),this.output=new Os({context:this.context}),this._internalChannels=[this.a,this.b];const t=Ci(xo.getDefaults(),arguments,["fade"]);this.fade=new Ts({context:this.context,units:"normalRange",value:t.fade}),Ui(this,"fade"),this.context.getConstant(1).connect(this._panner),this._panner.connect(this._split),this._panner.channelCount=1,this._panner.channelCountMode="explicit",xs(this._split,this.a.gain,0),xs(this._split,this.b.gain,1),this.fade.chain(this._g2a,this._panner.pan),this.a.connect(this.output),this.b.connect(this.output)}static getDefaults(){return Object.assign(vs.getDefaults(),{fade:.5})}dispose(){return super.dispose(),this.a.dispose(),this.b.dispose(),this.output.dispose(),this.fade.dispose(),this._g2a.dispose(),this._panner.disconnect(),this._split.disconnect(),this}}class _o extends vs{constructor(t){super(t),this.name="Effect",this._dryWet=new xo({context:this.context}),this.wet=this._dryWet.fade,this.effectSend=new Os({context:this.context}),this.effectReturn=new Os({context:this.context}),this.input=new Os({context:this.context}),this.output=this._dryWet,this.input.fan(this._dryWet.a,this.effectSend),this.effectReturn.connect(this._dryWet.b),this.wet.setValueAtTime(t.wet,0),this._internalChannels=[this.effectReturn,this.effectSend],Ui(this,"wet")}static getDefaults(){return Object.assign(vs.getDefaults(),{wet:1})}connectEffect(t){return this._internalChannels.push(t),this.effectSend.chain(t,this.effectReturn),this}dispose(){return super.dispose(),this._dryWet.dispose(),this.effectSend.dispose(),this.effectReturn.dispose(),this.wet.dispose(),this}}class Oo extends _o{constructor(t){super(t),this.name="LFOEffect",this._lfo=new ba({context:this.context,frequency:t.frequency,amplitude:t.depth}),this.depth=this._lfo.amplitude,this.frequency=this._lfo.frequency,this.type=t.type,Ui(this,["frequency","depth"])}static getDefaults(){return Object.assign(_o.getDefaults(),{frequency:1,type:"sine",depth:1})}start(t){return this._lfo.start(t),this}stop(t){return this._lfo.stop(t),this}sync(){return this._lfo.sync(),this}unsync(){return this._lfo.unsync(),this}get type(){return this._lfo.type}set type(t){this._lfo.type=t}dispose(){return super.dispose(),this._lfo.dispose(),this.frequency.dispose(),this.depth.dispose(),this}}class So extends Oo{constructor(){super(Ci(So.getDefaults(),arguments,["frequency","baseFrequency","octaves"])),this.name="AutoFilter";const t=Ci(So.getDefaults(),arguments,["frequency","baseFrequency","octaves"]);this.filter=new Ba(Object.assign(t.filter,{context:this.context})),this.connectEffect(this.filter),this._lfo.connect(this.filter.frequency),this.octaves=t.octaves,this.baseFrequency=t.baseFrequency}static getDefaults(){return Object.assign(Oo.getDefaults(),{baseFrequency:200,octaves:2.6,filter:{type:"lowpass",rolloff:-12,Q:1}})}get baseFrequency(){return this._lfo.min}set baseFrequency(t){this._lfo.min=this.toFrequency(t),this.octaves=this._octaves}get octaves(){return this._octaves}set octaves(t){this._octaves=t,this._lfo.max=this._lfo.min*Math.pow(2,t)}dispose(){return super.dispose(),this.filter.dispose(),this}}class ko extends vs{constructor(){super(Object.assign(Ci(ko.getDefaults(),arguments,["pan"]))),this.name="Panner",this._panner=this.context.createStereoPanner(),this.input=this._panner,this.output=this._panner;const t=Ci(ko.getDefaults(),arguments,["pan"]);this.pan=new ys({context:this.context,param:this._panner.pan,value:t.pan,minValue:-1,maxValue:1}),this._panner.channelCount=t.channelCount,this._panner.channelCountMode="explicit",Ui(this,"pan")}static getDefaults(){return Object.assign(vs.getDefaults(),{pan:0,channelCount:1})}dispose(){return super.dispose(),this._panner.disconnect(),this.pan.dispose(),this}}class To extends Oo{constructor(){super(Ci(To.getDefaults(),arguments,["frequency"])),this.name="AutoPanner";const t=Ci(To.getDefaults(),arguments,["frequency"]);this._panner=new ko({context:this.context,channelCount:t.channelCount}),this.connectEffect(this._panner),this._lfo.connect(this._panner.pan),this._lfo.min=-1,this._lfo.max=1}static getDefaults(){return Object.assign(Oo.getDefaults(),{channelCount:1})}dispose(){return super.dispose(),this._panner.dispose(),this}}class Co extends vs{constructor(){super(Ci(Co.getDefaults(),arguments,["smoothing"])),this.name="Follower";const t=Ci(Co.getDefaults(),arguments,["smoothing"]);this._abs=this.input=new Oa({context:this.context}),this._lowpass=this.output=new eo({context:this.context,frequency:1/this.toSeconds(t.smoothing),type:"lowpass"}),this._abs.connect(this._lowpass),this._smoothing=t.smoothing}static getDefaults(){return Object.assign(vs.getDefaults(),{smoothing:.05})}get smoothing(){return this._smoothing}set smoothing(t){this._smoothing=t,this._lowpass.frequency=1/this.toSeconds(this.smoothing)}dispose(){return super.dispose(),this._abs.dispose(),this._lowpass.dispose(),this}}class Ao extends _o{constructor(){super(Ci(Ao.getDefaults(),arguments,["baseFrequency","octaves","sensitivity"])),this.name="AutoWah";const t=Ci(Ao.getDefaults(),arguments,["baseFrequency","octaves","sensitivity"]);this._follower=new Co({context:this.context,smoothing:t.follower}),this._sweepRange=new Ia({context:this.context,min:0,max:1,exponent:.5}),this._baseFrequency=this.toFrequency(t.baseFrequency),this._octaves=t.octaves,this._inputBoost=new Os({context:this.context}),this._bandpass=new Ba({context:this.context,rolloff:-48,frequency:0,Q:t.Q}),this._peaking=new Ba({context:this.context,type:"peaking"}),this._peaking.gain.value=t.gain,this.gain=this._peaking.gain,this.Q=this._bandpass.Q,this.effectSend.chain(this._inputBoost,this._follower,this._sweepRange),this._sweepRange.connect(this._bandpass.frequency),this._sweepRange.connect(this._peaking.frequency),this.effectSend.chain(this._bandpass,this._peaking,this.effectReturn),this._setSweepRange(),this.sensitivity=t.sensitivity,Ui(this,["gain","Q"])}static getDefaults(){return Object.assign(_o.getDefaults(),{baseFrequency:100,octaves:6,sensitivity:0,Q:2,gain:2,follower:.2})}get octaves(){return this._octaves}set octaves(t){this._octaves=t,this._setSweepRange()}get follower(){return this._follower.smoothing}set follower(t){this._follower.smoothing=t}get baseFrequency(){return this._baseFrequency}set baseFrequency(t){this._baseFrequency=this.toFrequency(t),this._setSweepRange()}get sensitivity(){return es(1/this._inputBoost.gain.value)}set sensitivity(t){this._inputBoost.gain.value=1/ts(t)}_setSweepRange(){this._sweepRange.min=this._baseFrequency,this._sweepRange.max=Math.min(this._baseFrequency*Math.pow(2,this._octaves),this.context.sampleRate/2)}dispose(){return super.dispose(),this._follower.dispose(),this._sweepRange.dispose(),this._bandpass.dispose(),this._peaking.dispose(),this._inputBoost.dispose(),this}}Ja("bit-crusher","\n\tclass BitCrusherWorklet extends SingleIOProcessor {\n\n\t\tstatic get parameterDescriptors() {\n\t\t\treturn [{\n\t\t\t\tname: \"bits\",\n\t\t\t\tdefaultValue: 12,\n\t\t\t\tminValue: 1,\n\t\t\t\tmaxValue: 16,\n\t\t\t\tautomationRate: 'k-rate'\n\t\t\t}];\n\t\t}\n\n\t\tgenerate(input, _channel, parameters) {\n\t\t\tconst step = Math.pow(0.5, parameters.bits - 1);\n\t\t\tconst val = step * Math.floor(input / step + 0.5);\n\t\t\treturn val;\n\t\t}\n\t}\n");class No extends _o{constructor(){super(Ci(No.getDefaults(),arguments,["bits"])),this.name="BitCrusher";const t=Ci(No.getDefaults(),arguments,["bits"]);this._bitCrusherWorklet=new Io({context:this.context,bits:t.bits}),this.connectEffect(this._bitCrusherWorklet),this.bits=this._bitCrusherWorklet.bits}static getDefaults(){return Object.assign(_o.getDefaults(),{bits:4})}dispose(){return super.dispose(),this._bitCrusherWorklet.dispose(),this}}class Io extends Za{constructor(){super(Ci(Io.getDefaults(),arguments)),this.name="BitCrusherWorklet";const t=Ci(Io.getDefaults(),arguments);this.input=new Os({context:this.context}),this.output=new Os({context:this.context}),this.bits=new ys({context:this.context,value:t.bits,units:"positive",minValue:1,maxValue:16,param:this._dummyParam,swappable:!0})}static getDefaults(){return Object.assign(Za.getDefaults(),{bits:12})}_audioWorkletName(){return"bit-crusher"}onReady(t){ws(this.input,t,this.output);const e=t.parameters.get("bits");this.bits.setParam(e)}dispose(){return super.dispose(),this.input.dispose(),this.output.dispose(),this.bits.dispose(),this}}class Eo extends _o{constructor(){super(Ci(Eo.getDefaults(),arguments,["order"])),this.name="Chebyshev";const t=Ci(Eo.getDefaults(),arguments,["order"]);this._shaper=new ia({context:this.context,length:4096}),this._order=t.order,this.connectEffect(this._shaper),this.order=t.order,this.oversample=t.oversample}static getDefaults(){return Object.assign(_o.getDefaults(),{order:1,oversample:"none"})}_getCoefficient(t,e,n){return n.has(e)||(0===e?n.set(e,0):1===e?n.set(e,t):n.set(e,2*t*this._getCoefficient(t,e-1,n)-this._getCoefficient(t,e-2,n))),n.get(e)}get order(){return this._order}set order(t){this._order=t,this._shaper.setMap(e=>this._getCoefficient(e,t,new Map))}get oversample(){return this._shaper.oversample}set oversample(t){this._shaper.oversample=t}dispose(){return super.dispose(),this._shaper.dispose(),this}}class jo extends vs{constructor(){super(Ci(jo.getDefaults(),arguments,["channels"])),this.name="Split";const t=Ci(jo.getDefaults(),arguments,["channels"]);this._splitter=this.input=this.output=this.context.createChannelSplitter(t.channels),this._internalChannels=[this._splitter]}static getDefaults(){return Object.assign(vs.getDefaults(),{channels:2})}dispose(){return super.dispose(),this._splitter.disconnect(),this}}class Mo extends vs{constructor(){super(Ci(Mo.getDefaults(),arguments,["channels"])),this.name="Merge";const t=Ci(Mo.getDefaults(),arguments,["channels"]);this._merger=this.output=this.input=this.context.createChannelMerger(t.channels)}static getDefaults(){return Object.assign(vs.getDefaults(),{channels:2})}dispose(){return super.dispose(),this._merger.disconnect(),this}}class Do extends vs{constructor(t){super(t),this.name="StereoEffect",this.input=new Os({context:this.context}),this.input.channelCount=2,this.input.channelCountMode="explicit",this._dryWet=this.output=new xo({context:this.context,fade:t.wet}),this.wet=this._dryWet.fade,this._split=new jo({context:this.context,channels:2}),this._merge=new Mo({context:this.context,channels:2}),this.input.connect(this._split),this.input.connect(this._dryWet.a),this._merge.connect(this._dryWet.b),Ui(this,["wet"])}connectEffectLeft(...t){this._split.connect(t[0],0,0),ws(...t),xs(t[t.length-1],this._merge,0,0)}connectEffectRight(...t){this._split.connect(t[0],1,0),ws(...t),xs(t[t.length-1],this._merge,0,1)}static getDefaults(){return Object.assign(vs.getDefaults(),{wet:1})}dispose(){return super.dispose(),this._dryWet.dispose(),this._split.dispose(),this._merge.dispose(),this}}class Ro extends Do{constructor(t){super(t),this.feedback=new Ts({context:this.context,value:t.feedback,units:"normalRange"}),this._feedbackL=new Os({context:this.context}),this._feedbackR=new Os({context:this.context}),this._feedbackSplit=new jo({context:this.context,channels:2}),this._feedbackMerge=new Mo({context:this.context,channels:2}),this._merge.connect(this._feedbackSplit),this._feedbackMerge.connect(this._split),this._feedbackSplit.connect(this._feedbackL,0,0),this._feedbackL.connect(this._feedbackMerge,0,0),this._feedbackSplit.connect(this._feedbackR,1,0),this._feedbackR.connect(this._feedbackMerge,0,1),this.feedback.fan(this._feedbackL.gain,this._feedbackR.gain),Ui(this,["feedback"])}static getDefaults(){return Object.assign(Do.getDefaults(),{feedback:.5})}dispose(){return super.dispose(),this.feedback.dispose(),this._feedbackL.dispose(),this._feedbackR.dispose(),this._feedbackSplit.dispose(),this._feedbackMerge.dispose(),this}}class Po extends Ro{constructor(){super(Ci(Po.getDefaults(),arguments,["frequency","delayTime","depth"])),this.name="Chorus";const t=Ci(Po.getDefaults(),arguments,["frequency","delayTime","depth"]);this._depth=t.depth,this._delayTime=t.delayTime/1e3,this._lfoL=new ba({context:this.context,frequency:t.frequency,min:0,max:1}),this._lfoR=new ba({context:this.context,frequency:t.frequency,min:0,max:1,phase:180}),this._delayNodeL=new js({context:this.context}),this._delayNodeR=new js({context:this.context}),this.frequency=this._lfoL.frequency,Ui(this,["frequency"]),this._lfoL.frequency.connect(this._lfoR.frequency),this.connectEffectLeft(this._delayNodeL),this.connectEffectRight(this._delayNodeR),this._lfoL.connect(this._delayNodeL.delayTime),this._lfoR.connect(this._delayNodeR.delayTime),this.depth=this._depth,this.type=t.type,this.spread=t.spread}static getDefaults(){return Object.assign(Ro.getDefaults(),{frequency:1.5,delayTime:3.5,depth:.7,type:"sine",spread:180,feedback:0,wet:.5})}get depth(){return this._depth}set depth(t){this._depth=t;const e=this._delayTime*t;this._lfoL.min=Math.max(this._delayTime-e,0),this._lfoL.max=this._delayTime+e,this._lfoR.min=Math.max(this._delayTime-e,0),this._lfoR.max=this._delayTime+e}get delayTime(){return 1e3*this._delayTime}set delayTime(t){this._delayTime=t/1e3,this.depth=this._depth}get type(){return this._lfoL.type}set type(t){this._lfoL.type=t,this._lfoR.type=t}get spread(){return this._lfoR.phase-this._lfoL.phase}set spread(t){this._lfoL.phase=90-t/2,this._lfoR.phase=t/2+90}start(t){return this._lfoL.start(t),this._lfoR.start(t),this}stop(t){return this._lfoL.stop(t),this._lfoR.stop(t),this}sync(){return this._lfoL.sync(),this._lfoR.sync(),this}unsync(){return this._lfoL.unsync(),this._lfoR.unsync(),this}dispose(){return super.dispose(),this._lfoL.dispose(),this._lfoR.dispose(),this._delayNodeL.dispose(),this._delayNodeR.dispose(),this.frequency.dispose(),this}}class Fo extends _o{constructor(){super(Ci(Fo.getDefaults(),arguments,["distortion"])),this.name="Distortion";const t=Ci(Fo.getDefaults(),arguments,["distortion"]);this._shaper=new ia({context:this.context,length:4096}),this._distortion=t.distortion,this.connectEffect(this._shaper),this.distortion=t.distortion,this.oversample=t.oversample}static getDefaults(){return Object.assign(_o.getDefaults(),{distortion:.4,oversample:"none"})}get distortion(){return this._distortion}set distortion(t){this._distortion=t;const e=100*t,n=Math.PI/180;this._shaper.setMap(t=>Math.abs(t)<.001?0:(3+e)*t*20*n/(Math.PI+e*Math.abs(t)))}get oversample(){return this._shaper.oversample}set oversample(t){this._shaper.oversample=t}dispose(){return super.dispose(),this._shaper.dispose(),this}}class zo extends _o{constructor(t){super(t),this.name="FeedbackEffect",this._feedbackGain=new Os({context:this.context,gain:t.feedback,units:"normalRange"}),this.feedback=this._feedbackGain.gain,Ui(this,"feedback"),this.effectReturn.chain(this._feedbackGain,this.effectSend)}static getDefaults(){return Object.assign(_o.getDefaults(),{feedback:.125})}dispose(){return super.dispose(),this._feedbackGain.dispose(),this.feedback.dispose(),this}}class Lo extends zo{constructor(){super(Ci(Lo.getDefaults(),arguments,["delayTime","feedback"])),this.name="FeedbackDelay";const t=Ci(Lo.getDefaults(),arguments,["delayTime","feedback"]);this._delayNode=new js({context:this.context,delayTime:t.delayTime,maxDelay:t.maxDelay}),this.delayTime=this._delayNode.delayTime,this.connectEffect(this._delayNode),Ui(this,"delayTime")}static getDefaults(){return Object.assign(zo.getDefaults(),{delayTime:.25,maxDelay:1})}dispose(){return super.dispose(),this._delayNode.dispose(),this.delayTime.dispose(),this}}class $o extends vs{constructor(t){super(t),this.name="PhaseShiftAllpass",this.input=new Os({context:this.context}),this.output=new Os({context:this.context}),this.offset90=new Os({context:this.context});this._bank0=this._createAllPassFilterBank([.6923878,.9360654322959,.988229522686,.9987488452737]),this._bank1=this._createAllPassFilterBank([.4021921162426,.856171088242,.9722909545651,.9952884791278]),this._oneSampleDelay=this.context.createIIRFilter([0,1],[1,0]),ws(this.input,...this._bank0,this._oneSampleDelay,this.output),ws(this.input,...this._bank1,this.offset90)}_createAllPassFilterBank(t){return t.map(t=>{const e=[[t*t,0,-1],[1,0,-t*t]];return this.context.createIIRFilter(e[0],e[1])})}dispose(){return super.dispose(),this.input.dispose(),this.output.dispose(),this.offset90.dispose(),this._bank0.forEach(t=>t.disconnect()),this._bank1.forEach(t=>t.disconnect()),this._oneSampleDelay.disconnect(),this}}class Bo extends _o{constructor(){super(Ci(Bo.getDefaults(),arguments,["frequency"])),this.name="FrequencyShifter";const t=Ci(Bo.getDefaults(),arguments,["frequency"]);this.frequency=new Ts({context:this.context,units:"frequency",value:t.frequency,minValue:-this.context.sampleRate/2,maxValue:this.context.sampleRate/2}),this._sine=new ea({context:this.context,type:"sine"}),this._cosine=new na({context:this.context,phase:-90,type:"sine"}),this._sineMultiply=new aa({context:this.context}),this._cosineMultiply=new aa({context:this.context}),this._negate=new ka({context:this.context}),this._add=new fa({context:this.context}),this._phaseShifter=new $o({context:this.context}),this.effectSend.connect(this._phaseShifter),this.frequency.fan(this._sine.frequency,this._cosine.frequency),this._phaseShifter.offset90.connect(this._cosineMultiply),this._cosine.connect(this._cosineMultiply.factor),this._phaseShifter.connect(this._sineMultiply),this._sine.connect(this._sineMultiply.factor),this._sineMultiply.connect(this._negate),this._cosineMultiply.connect(this._add),this._negate.connect(this._add.addend),this._add.connect(this.effectReturn);const e=this.immediate();this._sine.start(e),this._cosine.start(e)}static getDefaults(){return Object.assign(_o.getDefaults(),{frequency:0})}dispose(){return super.dispose(),this.frequency.dispose(),this._add.dispose(),this._cosine.dispose(),this._cosineMultiply.dispose(),this._negate.dispose(),this._phaseShifter.dispose(),this._sine.dispose(),this._sineMultiply.dispose(),this}}const qo=[1557/44100,1617/44100,1491/44100,1422/44100,1277/44100,1356/44100,1188/44100,1116/44100],Vo=[225,556,441,341];class Uo extends Do{constructor(){super(Ci(Uo.getDefaults(),arguments,["roomSize","dampening"])),this.name="Freeverb",this._combFilters=[],this._allpassFiltersL=[],this._allpassFiltersR=[];const t=Ci(Uo.getDefaults(),arguments,["roomSize","dampening"]);this.roomSize=new Ts({context:this.context,value:t.roomSize,units:"normalRange"}),this._allpassFiltersL=Vo.map(t=>{const e=this.context.createBiquadFilter();return e.type="allpass",e.frequency.value=t,e}),this._allpassFiltersR=Vo.map(t=>{const e=this.context.createBiquadFilter();return e.type="allpass",e.frequency.value=t,e}),this._combFilters=qo.map((e,n)=>{const r=new no({context:this.context,dampening:t.dampening,delayTime:e});return ne.dampening=t)}dispose(){return super.dispose(),this._allpassFiltersL.forEach(t=>t.disconnect()),this._allpassFiltersR.forEach(t=>t.disconnect()),this._combFilters.forEach(t=>t.dispose()),this.roomSize.dispose(),this}}const Wo=[.06748,.06404,.08212,.09004],Go=[.773,.802,.753,.733],Ho=[347,113,37];class Ko extends Do{constructor(){super(Ci(Ko.getDefaults(),arguments,["roomSize"])),this.name="JCReverb",this._allpassFilters=[],this._feedbackCombFilters=[];const t=Ci(Ko.getDefaults(),arguments,["roomSize"]);this.roomSize=new Ts({context:this.context,value:t.roomSize,units:"normalRange"}),this._scaleRoomSize=new ma({context:this.context,min:-.733,max:.197}),this._allpassFilters=Ho.map(t=>{const e=this.context.createBiquadFilter();return e.type="allpass",e.frequency.value=t,e}),this._feedbackCombFilters=Wo.map((t,e)=>{const n=new to({context:this.context,delayTime:t});return this._scaleRoomSize.connect(n.resonance),n.resonance.value=Go[e],et.disconnect()),this._feedbackCombFilters.forEach(t=>t.dispose()),this.roomSize.dispose(),this._scaleRoomSize.dispose(),this}}class Qo extends Ro{constructor(t){super(t),this._feedbackL.disconnect(),this._feedbackL.connect(this._feedbackMerge,0,1),this._feedbackR.disconnect(),this._feedbackR.connect(this._feedbackMerge,0,0),Ui(this,["feedback"])}}class Xo extends Qo{constructor(){super(Ci(Xo.getDefaults(),arguments,["delayTime","feedback"])),this.name="PingPongDelay";const t=Ci(Xo.getDefaults(),arguments,["delayTime","feedback"]);this._leftDelay=new js({context:this.context,maxDelay:t.maxDelay}),this._rightDelay=new js({context:this.context,maxDelay:t.maxDelay}),this._rightPreDelay=new js({context:this.context,maxDelay:t.maxDelay}),this.delayTime=new Ts({context:this.context,units:"time",value:t.delayTime}),this.connectEffectLeft(this._leftDelay),this.connectEffectRight(this._rightPreDelay,this._rightDelay),this.delayTime.fan(this._leftDelay.delayTime,this._rightDelay.delayTime,this._rightPreDelay.delayTime),this._feedbackL.disconnect(),this._feedbackL.connect(this._rightDelay),Ui(this,["delayTime"])}static getDefaults(){return Object.assign(Qo.getDefaults(),{delayTime:.25,maxDelay:1})}dispose(){return super.dispose(),this._leftDelay.dispose(),this._rightDelay.dispose(),this._rightPreDelay.dispose(),this.delayTime.dispose(),this}}class Yo extends zo{constructor(){super(Ci(Yo.getDefaults(),arguments,["pitch"])),this.name="PitchShift";const t=Ci(Yo.getDefaults(),arguments,["pitch"]);this._frequency=new Ts({context:this.context}),this._delayA=new js({maxDelay:1,context:this.context}),this._lfoA=new ba({context:this.context,min:0,max:.1,type:"sawtooth"}).connect(this._delayA.delayTime),this._delayB=new js({maxDelay:1,context:this.context}),this._lfoB=new ba({context:this.context,min:0,max:.1,type:"sawtooth",phase:180}).connect(this._delayB.delayTime),this._crossFade=new xo({context:this.context}),this._crossFadeLFO=new ba({context:this.context,min:0,max:1,type:"triangle",phase:90}).connect(this._crossFade.fade),this._feedbackDelay=new js({delayTime:t.delayTime,context:this.context}),this.delayTime=this._feedbackDelay.delayTime,Ui(this,"delayTime"),this._pitch=t.pitch,this._windowSize=t.windowSize,this._delayA.connect(this._crossFade.a),this._delayB.connect(this._crossFade.b),this._frequency.fan(this._lfoA.frequency,this._lfoB.frequency,this._crossFadeLFO.frequency),this.effectSend.fan(this._delayA,this._delayB),this._crossFade.chain(this._feedbackDelay,this.effectReturn);const e=this.now();this._lfoA.start(e),this._lfoB.start(e),this._crossFadeLFO.start(e),this.windowSize=this._windowSize}static getDefaults(){return Object.assign(zo.getDefaults(),{pitch:0,windowSize:.1,delayTime:0,feedback:0})}get pitch(){return this._pitch}set pitch(t){this._pitch=t;let e=0;t<0?(this._lfoA.min=0,this._lfoA.max=this._windowSize,this._lfoB.min=0,this._lfoB.max=this._windowSize,e=ns(t-1)+1):(this._lfoA.min=this._windowSize,this._lfoA.max=0,this._lfoB.min=this._windowSize,this._lfoB.max=0,e=ns(t)-1),this._frequency.value=e*(1.2/this._windowSize)}get windowSize(){return this._windowSize}set windowSize(t){this._windowSize=this.toSeconds(t),this.pitch=this._pitch}dispose(){return super.dispose(),this._frequency.dispose(),this._delayA.dispose(),this._delayB.dispose(),this._lfoA.dispose(),this._lfoB.dispose(),this._crossFade.dispose(),this._crossFadeLFO.dispose(),this._feedbackDelay.dispose(),this}}class Jo extends Do{constructor(){super(Ci(Jo.getDefaults(),arguments,["frequency","octaves","baseFrequency"])),this.name="Phaser";const t=Ci(Jo.getDefaults(),arguments,["frequency","octaves","baseFrequency"]);this._lfoL=new ba({context:this.context,frequency:t.frequency,min:0,max:1}),this._lfoR=new ba({context:this.context,frequency:t.frequency,min:0,max:1,phase:180}),this._baseFrequency=this.toFrequency(t.baseFrequency),this._octaves=t.octaves,this.Q=new Ts({context:this.context,value:t.Q,units:"positive"}),this._filtersL=this._makeFilters(t.stages,this._lfoL),this._filtersR=this._makeFilters(t.stages,this._lfoR),this.frequency=this._lfoL.frequency,this.frequency.value=t.frequency,this.connectEffectLeft(...this._filtersL),this.connectEffectRight(...this._filtersR),this._lfoL.frequency.connect(this._lfoR.frequency),this.baseFrequency=t.baseFrequency,this.octaves=t.octaves,this._lfoL.start(),this._lfoR.start(),Ui(this,["frequency","Q"])}static getDefaults(){return Object.assign(Do.getDefaults(),{frequency:.5,octaves:3,stages:10,Q:10,baseFrequency:350})}_makeFilters(t,e){const n=[];for(let r=0;rt.disconnect()),this._filtersR.forEach(t=>t.disconnect()),this.frequency.dispose(),this}}class Zo extends _o{constructor(){super(Ci(Zo.getDefaults(),arguments,["decay"])),this.name="Reverb",this._convolver=this.context.createConvolver(),this.ready=Promise.resolve();const t=Ci(Zo.getDefaults(),arguments,["decay"]);this._decay=t.decay,this._preDelay=t.preDelay,this.generate(),this.connectEffect(this._convolver)}static getDefaults(){return Object.assign(_o.getDefaults(),{decay:1.5,preDelay:.01})}get decay(){return this._decay}set decay(t){ti(t=this.toSeconds(t),.001),this._decay=t,this.generate()}get preDelay(){return this._preDelay}set preDelay(t){ti(t=this.toSeconds(t),0),this._preDelay=t,this.generate()}generate(){return yi(this,void 0,void 0,(function*(){const t=this.ready,e=new Ki(2,this._decay+this._preDelay,this.context.sampleRate),n=new Xs({context:e}),r=new Xs({context:e}),i=new Mo({context:e});n.connect(i,0,0),r.connect(i,0,1);const s=new Os({context:e}).toDestination();i.connect(s),n.start(0),r.start(0),s.gain.setValueAtTime(0,0),s.gain.setValueAtTime(1,this._preDelay),s.gain.exponentialApproachValueAtTime(0,this._preDelay,this.decay);const a=e.render();return this.ready=a.then(Gi),yield t,this._convolver.buffer=(yield a).get(),this}))}dispose(){return super.dispose(),this._convolver.disconnect(),this}}class tu extends vs{constructor(){super(Ci(tu.getDefaults(),arguments)),this.name="MidSideSplit",this._split=this.input=new jo({channels:2,context:this.context}),this._midAdd=new fa({context:this.context}),this.mid=new aa({context:this.context,value:Math.SQRT1_2}),this._sideSubtract=new Ta({context:this.context}),this.side=new aa({context:this.context,value:Math.SQRT1_2}),this._split.connect(this._midAdd,0),this._split.connect(this._midAdd.addend,1),this._split.connect(this._sideSubtract,0),this._split.connect(this._sideSubtract.subtrahend,1),this._midAdd.connect(this.mid),this._sideSubtract.connect(this.side)}dispose(){return super.dispose(),this.mid.dispose(),this.side.dispose(),this._midAdd.dispose(),this._sideSubtract.dispose(),this._split.dispose(),this}}class eu extends vs{constructor(){super(Ci(eu.getDefaults(),arguments)),this.name="MidSideMerge",this.mid=new Os({context:this.context}),this.side=new Os({context:this.context}),this._left=new fa({context:this.context}),this._leftMult=new aa({context:this.context,value:Math.SQRT1_2}),this._right=new Ta({context:this.context}),this._rightMult=new aa({context:this.context,value:Math.SQRT1_2}),this._merge=this.output=new Mo({context:this.context}),this.mid.fan(this._left),this.side.connect(this._left.addend),this.mid.connect(this._right),this.side.connect(this._right.subtrahend),this._left.connect(this._leftMult),this._right.connect(this._rightMult),this._leftMult.connect(this._merge,0,0),this._rightMult.connect(this._merge,0,1)}dispose(){return super.dispose(),this.mid.dispose(),this.side.dispose(),this._leftMult.dispose(),this._rightMult.dispose(),this._left.dispose(),this._right.dispose(),this}}class nu extends _o{constructor(t){super(t),this.name="MidSideEffect",this._midSideMerge=new eu({context:this.context}),this._midSideSplit=new tu({context:this.context}),this._midSend=this._midSideSplit.mid,this._sideSend=this._midSideSplit.side,this._midReturn=this._midSideMerge.mid,this._sideReturn=this._midSideMerge.side,this.effectSend.connect(this._midSideSplit),this._midSideMerge.connect(this.effectReturn)}connectEffectMid(...t){this._midSend.chain(...t,this._midReturn)}connectEffectSide(...t){this._sideSend.chain(...t,this._sideReturn)}dispose(){return super.dispose(),this._midSideSplit.dispose(),this._midSideMerge.dispose(),this._midSend.dispose(),this._sideSend.dispose(),this._midReturn.dispose(),this._sideReturn.dispose(),this}}class ru extends nu{constructor(){super(Ci(ru.getDefaults(),arguments,["width"])),this.name="StereoWidener";const t=Ci(ru.getDefaults(),arguments,["width"]);this.width=new Ts({context:this.context,value:t.width,units:"normalRange"}),Ui(this,["width"]),this._twoTimesWidthMid=new aa({context:this.context,value:2}),this._twoTimesWidthSide=new aa({context:this.context,value:2}),this._midMult=new aa({context:this.context}),this._twoTimesWidthMid.connect(this._midMult.factor),this.connectEffectMid(this._midMult),this._oneMinusWidth=new Ta({context:this.context}),this._oneMinusWidth.connect(this._twoTimesWidthMid),xs(this.context.getConstant(1),this._oneMinusWidth),this.width.connect(this._oneMinusWidth.subtrahend),this._sideMult=new aa({context:this.context}),this.width.connect(this._twoTimesWidthSide),this._twoTimesWidthSide.connect(this._sideMult.factor),this.connectEffectSide(this._sideMult)}static getDefaults(){return Object.assign(nu.getDefaults(),{width:.5})}dispose(){return super.dispose(),this.width.dispose(),this._midMult.dispose(),this._sideMult.dispose(),this._twoTimesWidthMid.dispose(),this._twoTimesWidthSide.dispose(),this._oneMinusWidth.dispose(),this}}class iu extends Do{constructor(){super(Ci(iu.getDefaults(),arguments,["frequency","depth"])),this.name="Tremolo";const t=Ci(iu.getDefaults(),arguments,["frequency","depth"]);this._lfoL=new ba({context:this.context,type:t.type,min:1,max:0}),this._lfoR=new ba({context:this.context,type:t.type,min:1,max:0}),this._amplitudeL=new Os({context:this.context}),this._amplitudeR=new Os({context:this.context}),this.frequency=new Ts({context:this.context,value:t.frequency,units:"frequency"}),this.depth=new Ts({context:this.context,value:t.depth,units:"normalRange"}),Ui(this,["frequency","depth"]),this.connectEffectLeft(this._amplitudeL),this.connectEffectRight(this._amplitudeR),this._lfoL.connect(this._amplitudeL.gain),this._lfoR.connect(this._amplitudeR.gain),this.frequency.fan(this._lfoL.frequency,this._lfoR.frequency),this.depth.fan(this._lfoR.amplitude,this._lfoL.amplitude),this.spread=t.spread}static getDefaults(){return Object.assign(Do.getDefaults(),{frequency:10,type:"sine",depth:.5,spread:180})}start(t){return this._lfoL.start(t),this._lfoR.start(t),this}stop(t){return this._lfoL.stop(t),this._lfoR.stop(t),this}sync(){return this._lfoL.sync(),this._lfoR.sync(),this.context.transport.syncSignal(this.frequency),this}unsync(){return this._lfoL.unsync(),this._lfoR.unsync(),this.context.transport.unsyncSignal(this.frequency),this}get type(){return this._lfoL.type}set type(t){this._lfoL.type=t,this._lfoR.type=t}get spread(){return this._lfoR.phase-this._lfoL.phase}set spread(t){this._lfoL.phase=90-t/2,this._lfoR.phase=t/2+90}dispose(){return super.dispose(),this._lfoL.dispose(),this._lfoR.dispose(),this._amplitudeL.dispose(),this._amplitudeR.dispose(),this.frequency.dispose(),this.depth.dispose(),this}}class su extends _o{constructor(){super(Ci(su.getDefaults(),arguments,["frequency","depth"])),this.name="Vibrato";const t=Ci(su.getDefaults(),arguments,["frequency","depth"]);this._delayNode=new js({context:this.context,delayTime:0,maxDelay:t.maxDelay}),this._lfo=new ba({context:this.context,type:t.type,min:0,max:t.maxDelay,frequency:t.frequency,phase:-90}).start().connect(this._delayNode.delayTime),this.frequency=this._lfo.frequency,this.depth=this._lfo.amplitude,this.depth.value=t.depth,Ui(this,["frequency","depth"]),this.effectSend.chain(this._delayNode,this.effectReturn)}static getDefaults(){return Object.assign(_o.getDefaults(),{maxDelay:.005,frequency:5,depth:.1,type:"sine"})}get type(){return this._lfo.type}set type(t){this._lfo.type=t}dispose(){return super.dispose(),this._delayNode.dispose(),this._lfo.dispose(),this.frequency.dispose(),this.depth.dispose(),this}}class au extends vs{constructor(){super(Ci(au.getDefaults(),arguments,["type","size"])),this.name="Analyser",this._analysers=[],this._buffers=[];const t=Ci(au.getDefaults(),arguments,["type","size"]);this.input=this.output=this._gain=new Os({context:this.context}),this._split=new jo({context:this.context,channels:t.channels}),this.input.connect(this._split),ti(t.channels,1);for(let e=0;e{const n=this._buffers[e];"fft"===this._type?t.getFloatFrequencyData(n):"waveform"===this._type&&t.getFloatTimeDomainData(n)}),1===this.channels?this._buffers[0]:this._buffers}get size(){return this._analysers[0].frequencyBinCount}set size(t){this._analysers.forEach((e,n)=>{e.fftSize=2*t,this._buffers[n]=new Float32Array(t)})}get channels(){return this._analysers.length}get type(){return this._type}set type(t){Zr("waveform"===t||"fft"===t,"Analyser: invalid type: "+t),this._type=t}get smoothing(){return this._analysers[0].smoothingTimeConstant}set smoothing(t){this._analysers.forEach(e=>e.smoothingTimeConstant=t)}dispose(){return super.dispose(),this._analysers.forEach(t=>t.disconnect()),this._split.dispose(),this._gain.dispose(),this}}class ou extends vs{constructor(){super(Ci(ou.getDefaults(),arguments)),this.name="MeterBase",this.input=this.output=this._analyser=new au({context:this.context,size:256,type:"waveform"})}dispose(){return super.dispose(),this._analyser.dispose(),this}}class uu extends ou{constructor(){super(Ci(uu.getDefaults(),arguments,["smoothing"])),this.name="Meter",this._rms=0;const t=Ci(uu.getDefaults(),arguments,["smoothing"]);this.input=this.output=this._analyser=new au({context:this.context,size:256,type:"waveform",channels:t.channels}),this.smoothing=t.smoothing,this.normalRange=t.normalRange}static getDefaults(){return Object.assign(ou.getDefaults(),{smoothing:.8,normalRange:!1,channels:1})}getLevel(){return si("'getLevel' has been changed to 'getValue'"),this.getValue()}getValue(){const t=this._analyser.getValue(),e=(1===this.channels?[t]:t).map(t=>{const e=t.reduce((t,e)=>t+e*e,0),n=Math.sqrt(e/t.length);return this._rms=Math.max(n,this._rms*this.smoothing),this.normalRange?this._rms:es(this._rms)});return 1===this.channels?e[0]:e}get channels(){return this._analyser.channels}dispose(){return super.dispose(),this._analyser.dispose(),this}}class cu extends ou{constructor(){super(Ci(cu.getDefaults(),arguments,["size"])),this.name="FFT";const t=Ci(cu.getDefaults(),arguments,["size"]);this.normalRange=t.normalRange,this._analyser.type="fft",this.size=t.size}static getDefaults(){return Object.assign(vs.getDefaults(),{normalRange:!1,size:1024,smoothing:.8})}getValue(){return this._analyser.getValue().map(t=>this.normalRange?ts(t):t)}get size(){return this._analyser.size}set size(t){this._analyser.size=t}get smoothing(){return this._analyser.smoothing}set smoothing(t){this._analyser.smoothing=t}getFrequencyOfIndex(t){return Zr(0<=t&&tt._updateSolo())}get muted(){return 0===this.input.gain.value}_addSolo(){du._soloed.has(this.context)||du._soloed.set(this.context,new Set),du._soloed.get(this.context).add(this)}_removeSolo(){du._soloed.has(this.context)&&du._soloed.get(this.context).delete(this)}_isSoloed(){return du._soloed.has(this.context)&&du._soloed.get(this.context).has(this)}_noSolos(){return!du._soloed.has(this.context)||du._soloed.has(this.context)&&0===du._soloed.get(this.context).size}_updateSolo(){this._isSoloed()||this._noSolos()?this.input.gain.value=1:this.input.gain.value=0}dispose(){return super.dispose(),du._allSolos.get(this.context).delete(this),this._removeSolo(),this}}du._allSolos=new Map,du._soloed=new Map;class pu extends vs{constructor(){super(Ci(pu.getDefaults(),arguments,["pan","volume"])),this.name="PanVol";const t=Ci(pu.getDefaults(),arguments,["pan","volume"]);this._panner=this.input=new ko({context:this.context,pan:t.pan,channelCount:t.channelCount}),this.pan=this._panner.pan,this._volume=this.output=new qs({context:this.context,volume:t.volume}),this.volume=this._volume.volume,this._panner.connect(this._volume),this.mute=t.mute,Ui(this,["pan","volume"])}static getDefaults(){return Object.assign(vs.getDefaults(),{mute:!1,pan:0,volume:0,channelCount:1})}get mute(){return this._volume.mute}set mute(t){this._volume.mute=t}dispose(){return super.dispose(),this._panner.dispose(),this.pan.dispose(),this._volume.dispose(),this.volume.dispose(),this}}class fu extends vs{constructor(){super(Ci(fu.getDefaults(),arguments,["volume","pan"])),this.name="Channel";const t=Ci(fu.getDefaults(),arguments,["volume","pan"]);this._solo=this.input=new du({solo:t.solo,context:this.context}),this._panVol=this.output=new pu({context:this.context,pan:t.pan,volume:t.volume,mute:t.mute,channelCount:t.channelCount}),this.pan=this._panVol.pan,this.volume=this._panVol.volume,this._solo.connect(this._panVol),Ui(this,["pan","volume"])}static getDefaults(){return Object.assign(vs.getDefaults(),{pan:0,volume:0,mute:!1,solo:!1,channelCount:1})}get solo(){return this._solo.solo}set solo(t){this._solo.solo=t}get muted(){return this._solo.muted||this.mute}get mute(){return this._panVol.mute}set mute(t){this._panVol.mute=t}_getBus(t){return fu.buses.has(t)||fu.buses.set(t,new Os({context:this.context})),fu.buses.get(t)}send(t,e=0){const n=this._getBus(t),r=new Os({context:this.context,units:"decibels",gain:e});return this.connect(r),r.connect(n),r}receive(t){return this._getBus(t).connect(this),this}dispose(){return super.dispose(),this._panVol.dispose(),this.pan.dispose(),this.volume.dispose(),this._solo.dispose(),this}}fu.buses=new Map;class mu extends vs{constructor(){super(Ci(mu.getDefaults(),arguments,["lowFrequency","highFrequency"])),this.name="MultibandSplit",this.input=new Os({context:this.context}),this.output=void 0,this.low=new Ba({context:this.context,frequency:0,type:"lowpass"}),this._lowMidFilter=new Ba({context:this.context,frequency:0,type:"highpass"}),this.mid=new Ba({context:this.context,frequency:0,type:"lowpass"}),this.high=new Ba({context:this.context,frequency:0,type:"highpass"}),this._internalChannels=[this.low,this.mid,this.high];const t=Ci(mu.getDefaults(),arguments,["lowFrequency","highFrequency"]);this.lowFrequency=new Ts({context:this.context,units:"frequency",value:t.lowFrequency}),this.highFrequency=new Ts({context:this.context,units:"frequency",value:t.highFrequency}),this.Q=new Ts({context:this.context,units:"positive",value:t.Q}),this.input.fan(this.low,this.high),this.input.chain(this._lowMidFilter,this.mid),this.lowFrequency.fan(this.low.frequency,this._lowMidFilter.frequency),this.highFrequency.fan(this.mid.frequency,this.high.frequency),this.Q.connect(this.low.Q),this.Q.connect(this._lowMidFilter.Q),this.Q.connect(this.mid.Q),this.Q.connect(this.high.Q),Ui(this,["high","mid","low","highFrequency","lowFrequency"])}static getDefaults(){return Object.assign(vs.getDefaults(),{Q:1,highFrequency:2500,lowFrequency:400})}dispose(){return super.dispose(),Wi(this,["high","mid","low","highFrequency","lowFrequency"]),this.low.dispose(),this._lowMidFilter.dispose(),this.mid.dispose(),this.high.dispose(),this.lowFrequency.dispose(),this.highFrequency.dispose(),this.Q.dispose(),this}}class gu extends vs{constructor(){super(...arguments),this.name="Listener",this.positionX=new ys({context:this.context,param:this.context.rawContext.listener.positionX}),this.positionY=new ys({context:this.context,param:this.context.rawContext.listener.positionY}),this.positionZ=new ys({context:this.context,param:this.context.rawContext.listener.positionZ}),this.forwardX=new ys({context:this.context,param:this.context.rawContext.listener.forwardX}),this.forwardY=new ys({context:this.context,param:this.context.rawContext.listener.forwardY}),this.forwardZ=new ys({context:this.context,param:this.context.rawContext.listener.forwardZ}),this.upX=new ys({context:this.context,param:this.context.rawContext.listener.upX}),this.upY=new ys({context:this.context,param:this.context.rawContext.listener.upY}),this.upZ=new ys({context:this.context,param:this.context.rawContext.listener.upZ})}static getDefaults(){return Object.assign(vs.getDefaults(),{positionX:0,positionY:0,positionZ:0,forwardX:0,forwardY:0,forwardZ:-1,upX:0,upY:1,upZ:0})}dispose(){return super.dispose(),this.positionX.dispose(),this.positionY.dispose(),this.positionZ.dispose(),this.forwardX.dispose(),this.forwardY.dispose(),this.forwardZ.dispose(),this.upX.dispose(),this.upY.dispose(),this.upZ.dispose(),this}}zi(t=>{t.listener=new gu({context:t})}),$i(t=>{t.listener.dispose()});class bu extends vs{constructor(){super(Ci(bu.getDefaults(),arguments,["positionX","positionY","positionZ"])),this.name="Panner3D";const t=Ci(bu.getDefaults(),arguments,["positionX","positionY","positionZ"]);this._panner=this.input=this.output=this.context.createPanner(),this.panningModel=t.panningModel,this.maxDistance=t.maxDistance,this.distanceModel=t.distanceModel,this.coneOuterGain=t.coneOuterGain,this.coneOuterAngle=t.coneOuterAngle,this.coneInnerAngle=t.coneInnerAngle,this.refDistance=t.refDistance,this.rolloffFactor=t.rolloffFactor,this.positionX=new ys({context:this.context,param:this._panner.positionX,value:t.positionX}),this.positionY=new ys({context:this.context,param:this._panner.positionY,value:t.positionY}),this.positionZ=new ys({context:this.context,param:this._panner.positionZ,value:t.positionZ}),this.orientationX=new ys({context:this.context,param:this._panner.orientationX,value:t.orientationX}),this.orientationY=new ys({context:this.context,param:this._panner.orientationY,value:t.orientationY}),this.orientationZ=new ys({context:this.context,param:this._panner.orientationZ,value:t.orientationZ})}static getDefaults(){return Object.assign(vs.getDefaults(),{coneInnerAngle:360,coneOuterAngle:360,coneOuterGain:0,distanceModel:"inverse",maxDistance:1e4,orientationX:0,orientationY:0,orientationZ:0,panningModel:"equalpower",positionX:0,positionY:0,positionZ:0,refDistance:1,rolloffFactor:1})}setPosition(t,e,n){return this.positionX.value=t,this.positionY.value=e,this.positionZ.value=n,this}setOrientation(t,e,n){return this.orientationX.value=t,this.orientationY.value=e,this.orientationZ.value=n,this}get panningModel(){return this._panner.panningModel}set panningModel(t){this._panner.panningModel=t}get refDistance(){return this._panner.refDistance}set refDistance(t){this._panner.refDistance=t}get rolloffFactor(){return this._panner.rolloffFactor}set rolloffFactor(t){this._panner.rolloffFactor=t}get distanceModel(){return this._panner.distanceModel}set distanceModel(t){this._panner.distanceModel=t}get coneInnerAngle(){return this._panner.coneInnerAngle}set coneInnerAngle(t){this._panner.coneInnerAngle=t}get coneOuterAngle(){return this._panner.coneOuterAngle}set coneOuterAngle(t){this._panner.coneOuterAngle=t}get coneOuterGain(){return this._panner.coneOuterGain}set coneOuterGain(t){this._panner.coneOuterGain=t}get maxDistance(){return this._panner.maxDistance}set maxDistance(t){this._panner.maxDistance=t}dispose(){return super.dispose(),this._panner.disconnect(),this.orientationX.dispose(),this.orientationY.dispose(),this.orientationZ.dispose(),this.positionX.dispose(),this.positionY.dispose(),this.positionZ.dispose(),this}}class yu extends vs{constructor(){super(Ci(yu.getDefaults(),arguments)),this.name="Recorder";const t=Ci(yu.getDefaults(),arguments);this.input=new Os({context:this.context}),Zr(yu.supported,"Media Recorder API is not available"),this._stream=this.context.createMediaStreamDestination(),this.input.connect(this._stream),this._recorder=new MediaRecorder(this._stream.stream,{mimeType:t.mimeType})}static getDefaults(){return vs.getDefaults()}get mimeType(){return this._recorder.mimeType}static get supported(){return null!==mi&&Reflect.has(mi,"MediaRecorder")}get state(){return"inactive"===this._recorder.state?"stopped":"paused"===this._recorder.state?"paused":"started"}start(){return yi(this,void 0,void 0,(function*(){Zr("started"!==this.state,"Recorder is already started");const t=new Promise(t=>{const e=()=>{this._recorder.removeEventListener("start",e,!1),t()};this._recorder.addEventListener("start",e,!1)});return this._recorder.start(),yield t}))}stop(){return yi(this,void 0,void 0,(function*(){Zr("stopped"!==this.state,"Recorder is not started");const t=new Promise(t=>{const e=n=>{this._recorder.removeEventListener("dataavailable",e,!1),t(n.data)};this._recorder.addEventListener("dataavailable",e,!1)});return this._recorder.stop(),yield t}))}pause(){return Zr("started"===this.state,"Recorder must be started"),this._recorder.pause(),this}dispose(){return super.dispose(),this.input.dispose(),this._stream.disconnect(),this}}class vu extends vs{constructor(){super(Ci(vu.getDefaults(),arguments,["threshold","ratio"])),this.name="Compressor",this._compressor=this.context.createDynamicsCompressor(),this.input=this._compressor,this.output=this._compressor;const t=Ci(vu.getDefaults(),arguments,["threshold","ratio"]);this.threshold=new ys({minValue:this._compressor.threshold.minValue,maxValue:this._compressor.threshold.maxValue,context:this.context,convert:!1,param:this._compressor.threshold,units:"decibels",value:t.threshold}),this.attack=new ys({minValue:this._compressor.attack.minValue,maxValue:this._compressor.attack.maxValue,context:this.context,param:this._compressor.attack,units:"time",value:t.attack}),this.release=new ys({minValue:this._compressor.release.minValue,maxValue:this._compressor.release.maxValue,context:this.context,param:this._compressor.release,units:"time",value:t.release}),this.knee=new ys({minValue:this._compressor.knee.minValue,maxValue:this._compressor.knee.maxValue,context:this.context,convert:!1,param:this._compressor.knee,units:"decibels",value:t.knee}),this.ratio=new ys({minValue:this._compressor.ratio.minValue,maxValue:this._compressor.ratio.maxValue,context:this.context,convert:!1,param:this._compressor.ratio,units:"positive",value:t.ratio}),Ui(this,["knee","release","attack","ratio","threshold"])}static getDefaults(){return Object.assign(vs.getDefaults(),{attack:.003,knee:30,ratio:12,release:.25,threshold:-24})}get reduction(){return this._compressor.reduction}dispose(){return super.dispose(),this._compressor.disconnect(),this.attack.dispose(),this.release.dispose(),this.threshold.dispose(),this.ratio.dispose(),this.knee.dispose(),this}}class wu extends vs{constructor(){super(Object.assign(Ci(wu.getDefaults(),arguments,["threshold","smoothing"]))),this.name="Gate";const t=Ci(wu.getDefaults(),arguments,["threshold","smoothing"]);this._follower=new Co({context:this.context,smoothing:t.smoothing}),this._gt=new Aa({context:this.context,value:ts(t.threshold)}),this.input=new Os({context:this.context}),this._gate=this.output=new Os({context:this.context}),this.input.connect(this._gate),this.input.chain(this._follower,this._gt,this._gate.gain)}static getDefaults(){return Object.assign(vs.getDefaults(),{smoothing:.1,threshold:-40})}get threshold(){return es(this._gt.value)}set threshold(t){this._gt.value=ts(t)}get smoothing(){return this._follower.smoothing}set smoothing(t){this._follower.smoothing=t}dispose(){return super.dispose(),this.input.dispose(),this._follower.dispose(),this._gt.dispose(),this._gate.dispose(),this}}class xu extends vs{constructor(){super(Object.assign(Ci(xu.getDefaults(),arguments,["threshold"]))),this.name="Limiter";const t=Ci(xu.getDefaults(),arguments,["threshold"]);this._compressor=this.input=this.output=new vu({context:this.context,ratio:20,attack:0,release:0,threshold:t.threshold}),this.threshold=this._compressor.threshold,Ui(this,"threshold")}static getDefaults(){return Object.assign(vs.getDefaults(),{threshold:-12})}get reduction(){return this._compressor.reduction}dispose(){return super.dispose(),this._compressor.dispose(),this.threshold.dispose(),this}}class _u extends vs{constructor(){super(Object.assign(Ci(_u.getDefaults(),arguments))),this.name="MidSideCompressor";const t=Ci(_u.getDefaults(),arguments);this._midSideSplit=this.input=new tu({context:this.context}),this._midSideMerge=this.output=new eu({context:this.context}),this.mid=new vu(Object.assign(t.mid,{context:this.context})),this.side=new vu(Object.assign(t.side,{context:this.context})),this._midSideSplit.mid.chain(this.mid,this._midSideMerge.mid),this._midSideSplit.side.chain(this.side,this._midSideMerge.side),Ui(this,["mid","side"])}static getDefaults(){return Object.assign(vs.getDefaults(),{mid:{ratio:3,threshold:-24,release:.03,attack:.02,knee:16},side:{ratio:6,threshold:-30,release:.25,attack:.03,knee:10}})}dispose(){return super.dispose(),this.mid.dispose(),this.side.dispose(),this._midSideSplit.dispose(),this._midSideMerge.dispose(),this}}class Ou extends vs{constructor(){super(Object.assign(Ci(Ou.getDefaults(),arguments))),this.name="MultibandCompressor";const t=Ci(Ou.getDefaults(),arguments);this._splitter=this.input=new mu({context:this.context,lowFrequency:t.lowFrequency,highFrequency:t.highFrequency}),this.lowFrequency=this._splitter.lowFrequency,this.highFrequency=this._splitter.highFrequency,this.output=new Os({context:this.context}),this.low=new vu(Object.assign(t.low,{context:this.context})),this.mid=new vu(Object.assign(t.mid,{context:this.context})),this.high=new vu(Object.assign(t.high,{context:this.context})),this._splitter.low.chain(this.low,this.output),this._splitter.mid.chain(this.mid,this.output),this._splitter.high.chain(this.high,this.output),Ui(this,["high","mid","low","highFrequency","lowFrequency"])}static getDefaults(){return Object.assign(vs.getDefaults(),{lowFrequency:250,highFrequency:2e3,low:{ratio:6,threshold:-30,release:.25,attack:.03,knee:10},mid:{ratio:3,threshold:-24,release:.03,attack:.02,knee:16},high:{ratio:3,threshold:-24,release:.03,attack:.02,knee:16}})}dispose(){return super.dispose(),this._splitter.dispose(),this.low.dispose(),this.mid.dispose(),this.high.dispose(),this.output.dispose(),this}}class Su extends vs{constructor(){super(Ci(Su.getDefaults(),arguments,["low","mid","high"])),this.name="EQ3",this.output=new Os({context:this.context}),this._internalChannels=[];const t=Ci(Su.getDefaults(),arguments,["low","mid","high"]);this.input=this._multibandSplit=new mu({context:this.context,highFrequency:t.highFrequency,lowFrequency:t.lowFrequency}),this._lowGain=new Os({context:this.context,gain:t.low,units:"decibels"}),this._midGain=new Os({context:this.context,gain:t.mid,units:"decibels"}),this._highGain=new Os({context:this.context,gain:t.high,units:"decibels"}),this.low=this._lowGain.gain,this.mid=this._midGain.gain,this.high=this._highGain.gain,this.Q=this._multibandSplit.Q,this.lowFrequency=this._multibandSplit.lowFrequency,this.highFrequency=this._multibandSplit.highFrequency,this._multibandSplit.low.chain(this._lowGain,this.output),this._multibandSplit.mid.chain(this._midGain,this.output),this._multibandSplit.high.chain(this._highGain,this.output),Ui(this,["low","mid","high","lowFrequency","highFrequency"]),this._internalChannels=[this._multibandSplit]}static getDefaults(){return Object.assign(vs.getDefaults(),{high:0,highFrequency:2500,low:0,lowFrequency:400,mid:0})}dispose(){return super.dispose(),Wi(this,["low","mid","high","lowFrequency","highFrequency"]),this._multibandSplit.dispose(),this.lowFrequency.dispose(),this.highFrequency.dispose(),this._lowGain.dispose(),this._midGain.dispose(),this._highGain.dispose(),this.low.dispose(),this.mid.dispose(),this.high.dispose(),this.Q.dispose(),this}}class ku extends vs{constructor(){super(Ci(ku.getDefaults(),arguments,["url","onload"])),this.name="Convolver",this._convolver=this.context.createConvolver();const t=Ci(ku.getDefaults(),arguments,["url","onload"]);this._buffer=new Hi(t.url,e=>{this.buffer=e,t.onload()}),this.input=new Os({context:this.context}),this.output=new Os({context:this.context}),this._buffer.loaded&&(this.buffer=this._buffer),this.normalize=t.normalize,this.input.chain(this._convolver,this.output)}static getDefaults(){return Object.assign(vs.getDefaults(),{normalize:!0,onload:Gi})}load(t){return yi(this,void 0,void 0,(function*(){this.buffer=yield this._buffer.load(t)}))}get buffer(){return this._buffer.length?this._buffer:null}set buffer(t){t&&this._buffer.set(t),this._convolver.buffer&&(this.input.disconnect(),this._convolver.disconnect(),this._convolver=this.context.createConvolver(),this.input.chain(this._convolver,this.output));const e=this._buffer.get();this._convolver.buffer=e||null}get normalize(){return this._convolver.normalize}set normalize(t){this._convolver.normalize=t}dispose(){return super.dispose(),this._buffer.dispose(),this._convolver.disconnect(),this}}function Tu(){return Yi().now()}function Cu(){return Yi().immediate()}const Au=Yi().transport;function Nu(){return Yi().transport}const Iu=Yi().destination,Eu=Yi().destination;function ju(){return Yi().destination}const Mu=Yi().listener;function Du(){return Yi().listener}const Ru=Yi().draw;function Pu(){return Yi().draw}const Fu=Yi();function zu(){return Hi.loaded()}const Lu=Hi,$u=Ds,Bu=Qs},function(t,e,n){"use strict";n.r(e),n.d(e,"validateUpdateShape",(function(){return i})),n.d(e,"validateInput",(function(){return s})),n.d(e,"calculateShapes",(function(){return a}));var r=n(7);function i(t,e,n){const r=e.rank>1?e.shape[e.rank-1]:1,i=e.rank>1?e.rank-1:1,s="Must have updates.shape = indices.shape[:batchDim] + shape[sliceDim:], got updates.shape: "+n.shape+`, indices.shape: ${e.shape}, shape: ${t}`+`, sliceDim: ${r}, and batchDim: ${i}.`;if(n.rank1?e.shape[i-1]:1,a=n.length;let o=1;for(let t=s;t{const r=t.floorDiv(n,o);return e([n,o]),r},u,null,i.db)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return s}));var r=n(5),i=n(3); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function s(t,e,n){const s={shape:t,value:e,dtype:n};return r.a.runKernelFunc(r=>r.fill(t,e,n),{},null,i.ab,s)}},function(t,e,n){"use strict";n.d(e,"a",(function(){return h}));var r=n(5),i=n(3),s=n(1),a=n(7),o=n(12),u=n(20),c=n(4),l=n(8);const h=Object(c.b)({avgPool_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e,n,c,h){const d=Object(s.a)(t,"x","avgPool","float32");a.b(u.h(n,1),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${n} and dilations '1'`);let p=d,f=!1;3===d.rank&&(f=!0,p=Object(l.a)(d,[1,d.shape[0],d.shape[1],d.shape[2]])),a.b(4===p.rank,()=>`Error in avgPool: x must be rank 4 but got rank ${p.rank}.`),null!=h&&a.b(a.v(c),()=>`Error in avgPool: pad must be an integer when using, dimRoundingMode ${h} but got pad ${c}.`);const m={x:p},g={filterSize:e,strides:n,pad:c,dimRoundingMode:h};let b=r.a.runKernelFunc((t,r)=>{const i=u.e(p.shape,e,n,1,c,h);return r([p]),1===i.filterWidth&&1===i.filterHeight&&a.a(i.inShape,i.outShape)?p.clone():t.avgPool(p,i)},m,null,i.o,g);return b=Object(o.a)(b,d.dtype),f?Object(l.a)(b,[b.shape[1],b.shape[2],b.shape[3]]):b}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return o}));var r=n(5),i=n(3),s=n(1),a=n(4);const o=Object(a.b)({cos_: /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t){const e=Object(s.a)(t,"x","cos"),n={x:e};return r.a.runKernelFunc((t,n)=>{const r=t.cos(e);return n([e]),r},n,null,i.G)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return c}));var r=n(5),i=n(3),s=n(1),a=n(24),o=n(4),u=n(31);const c=Object(o.b)({cumsum_: /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e=0,n=!1,o=!1){const c=Object(s.a)(t,"x","cumsum"),l={x:c},h={axis:e,exclusive:n,reverse:o};return r.a.runKernelFunc((t,r)=>{const i=Object(a.f)([e],c.rank);let s=c;null!=i&&(s=Object(u.a)(c,i));const l=Object(a.g)(1,c.rank)[0];let h=t.cumsum(s,l,n,o);if(r([c]),null!=i){const t=Object(a.h)(i);h=Object(u.a)(h,t)}return h},l,null,i.J,h)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return o}));var r=n(5),i=n(3),s=n(1),a=n(4);const o=Object(a.b)({elu_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t){const e=Object(s.a)(t,"x","elu"),n={x:e};return r.a.runKernelFunc((t,n)=>{const r=t.elu(e);return n([r]),r},n,null,i.T)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return o}));var r=n(5),i=n(3),s=n(1),a=n(4);const o=Object(a.b)({floor_: /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t){const e=Object(s.a)(t,"x","floor"),n={x:e};return r.a.runKernelFunc(t=>t.floor(e),n,null,i.cb)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return f}));var r=n(1),i=n(7),s=n(13),a=n(24),o=n(40),u=n(76),c=n(72),l=n(4),h=n(8),d=n(14),p=n(21);const f=Object(l.b)({logSumExp_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e=null,n=!1){const l=Object(r.a)(t,"x","logSumExp"),f=Object(i.I)(e,l.shape),m=Object(c.a)(l,f,!0),g=Object(d.a)(l,m),b=Object(o.a)(g),y=Object(p.a)(b,f),v=Object(u.a)(y),w=Object(s.a)(Object(h.a)(m,v.shape),v);if(n){const t=Object(a.e)(w.shape,f);return Object(h.a)(w,t)}return w}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return u}));var r=n(5),i=n(3),s=n(1),a=n(18),o=n(4);const u=Object(o.b)({logicalOr_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e){const n=Object(s.a)(t,"a","logicalOr","bool"),o=Object(s.a)(e,"b","logicalOr","bool");Object(a.a)(n.shape,o.shape);const u={a:n,b:o};return r.a.runKernelFunc(t=>t.logicalOr(n,o),u,null,i.Cb)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return l}));var r=n(5),i=n(3),s=n(1),a=n(7),o=n(20),u=n(4),c=n(8);const l=Object(u.b)({maxPool_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e,n,u,l){const h=Object(s.a)(t,"x","maxPool");let d=h,p=!1;3===h.rank&&(p=!0,d=Object(c.a)(h,[1,h.shape[0],h.shape[1],h.shape[2]])),a.b(4===d.rank,()=>`Error in maxPool: input must be rank 4 but got rank ${d.rank}.`),a.b(o.h(n,1),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${n} and dilations '1'`),null!=l&&a.b(a.v(u),()=>`Error in maxPool: pad must be an integer when using, dimRoundingMode ${l} but got pad ${u}.`);const f={x:d},m={filterSize:e,strides:n,pad:u,dimRoundingMode:l},g=r.a.runKernelFunc((t,r)=>{const i=o.e(d.shape,e,n,1,u,l);let s;return s=1===i.filterWidth&&1===i.filterHeight&&a.a(i.inShape,i.outShape)?d.clone():t.maxPool(d,i),r([d,s]),s},f,null,i.Eb,m);return p?Object(c.a)(g,[g.shape[1],g.shape[2],g.shape[3]]):g}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return u}));var r=n(5),i=n(3),s=n(25),a=n(1),o=n(4);const u=Object(o.b)({mod_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e){let n=Object(a.a)(t,"a","mod"),o=Object(a.a)(e,"b","mod");[n,o]=Object(s.makeTypesMatch)(n,o);const u={a:n,b:o};return r.a.runKernelFunc((t,e)=>{const r=t.mod(n,o);return e([n,o]),r},u,null,i.Ob)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return o}));var r=n(5),i=n(3),s=n(1),a=n(4);const o=Object(a.b)({prelu_: /** * @license * Copyright 2020 Google LLC. 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All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e,n){const o=Object(s.a)(t,"x","unsortedSegmentSum"),u=Object(s.a)(e,"segmentIds","unsortedSegmentSum","int32");Object(a.b)(Object(a.v)(n),()=>"numSegments must be of dtype int");const c={x:o,segmentIds:u},l={numSegments:n};return r.a.runKernelFunc((t,e)=>{const r=t.unsortedSegmentSum(o,u,n);return e([u]),r},c,null,i.Rc,l)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return g}));var r=n(1),i=n(7),s=n(41),a=n(24),o=n(72),u=n(114),c=n(4),l=n(44),h=n(8),d=n(15),p=n(35),f=n(27),m=n(21);const g=Object(c.b)({norm_: /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e="euclidean",n=null,c=!1){const g=function t(e,n,r=null){if(0===e.rank)return Object(s.a)(e);if(1!==e.rank&&null===r)return t(Object(h.a)(e,[-1]),n,r);if(1===e.rank||"number"==typeof r||Array.isArray(r)&&1===r.length){if(1===n)return Object(m.a)(Object(s.a)(e),r);if(n===1/0)return Object(o.a)(Object(s.a)(e),r);if(n===-1/0)return Object(u.a)(Object(s.a)(e),r);if("euclidean"===n||2===n)return Object(p.a)(Object(m.a)(Object(l.a)(Object(s.a)(e),Object(d.a)(2,"int32")),r));throw new Error("Error in norm: invalid ord value: "+n)}if(Array.isArray(r)&&2===r.length){if(1===n)return Object(o.a)(Object(m.a)(Object(s.a)(e),r[0]),r[1]-1);if(n===1/0)return Object(o.a)(Object(m.a)(Object(s.a)(e),r[1]),r[0]);if(n===-1/0)return Object(u.a)(Object(m.a)(Object(s.a)(e),r[1]),r[0]);if("fro"===n||"euclidean"===n)return Object(p.a)(Object(m.a)(Object(f.a)(e),r));throw new Error("Error in norm: invalid ord value: "+n)}throw new Error("Error in norm: invalid axis: "+r)}(t=Object(r.a)(t,"x","norm"),e,n);let b=g.shape;if(c){const e=Object(i.I)(n,t.shape);b=a.e(g.shape,e)}return Object(h.a)(g,b)}})},function(t,e,n){"use strict";n.d(e,"c",(function(){return a})),n.d(e,"a",(function(){return u})),n.d(e,"b",(function(){return c}));var r=n(0),i=n(48),s=n(53); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const a=Object(i.a)((t,e)=>t*e),o=Object(s.b)((t,e,n,r)=>({real:t*n-e*r,imag:t*r+e*n})),u=Object(s.a)(r.Multiply,a,o),c={kernelName:r.Multiply,backendName:"cpu",kernelFunc:u}},function(t,e,n){"use strict";n.d(e,"c",(function(){return a})),n.d(e,"a",(function(){return u})),n.d(e,"b",(function(){return c}));var r=n(0),i=n(48),s=n(53); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const a=Object(i.a)((t,e)=>t-e),o=Object(s.b)((t,e,n,r)=>({real:t-n,imag:e-r})),u=Object(s.a)(r.Sub,a,o),c={kernelName:r.Sub,backendName:"cpu",kernelFunc:u}},function(t,e,n){"use strict";n.d(e,"a",(function(){return i}));var r=n(0); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function i(t,e,n,i,s){const a=e.length,o=r.util.sizeFromShape(e),u=r.util.computeStrides(e),c=r.util.computeStrides(s),l=r.util.getTypedArrayFromDType(n,r.util.sizeFromShape(s));for(let e=0;e`Length of inShape (${t.length}) and rank of dy (${e.rank}) must match`);let d=t,p=e,f=!1;3===e.rank&&(f=!0,p=Object(u.a)(e,[1,e.shape[0],e.shape[1],e.shape[2]]),d=[1,t[0],t[1],t[2]]),s.b(4===d.length,()=>"Error in conv2dDerInput: inShape must be length 4, but got length "+d.length+"."),s.b(4===p.rank,()=>"Error in conv2dDerInput: dy must be rank 4, but got rank "+p.rank),s.b(4===n.rank,()=>"Error in conv2dDerInput: filter must be rank 4, but got rank "+n.rank);const m="NHWC"===l?d[3]:d[1],g="NHWC"===l?p.shape[3]:p.shape[1];s.b(m===n.shape[2],()=>`Error in conv2dDerInput: depth of input (${m}) must match input depth for filter ${n.shape[2]}.`),s.b(g===n.shape[3],()=>`Error in conv2dDerInput: depth of output (${g}) must match output depth for filter ${n.shape[3]}.`),null!=h&&s.b(s.v(c),()=>`Error in conv2dDerInput: pad must be an integer when using, dimRoundingMode ${h} but got pad ${c}.`);const b={dy:p,filter:n},y={strides:o,pad:c,dataFormat:l,dimRoundingMode:h,inputShape:d},v=r.a.runKernelFunc((t,e)=>{const r=a.g(l),i=a.a(d,n.shape,o,1,c,h,!1,r),s=t.conv2dDerInput(p,n,i);return e([p,n]),s},b,null,i.C,y);return f?Object(u.a)(v,[v.shape[1],v.shape[2],v.shape[3]]):v}})},function(t,e,n){"use strict";n.r(e),n.d(e,"TEST_EPSILON_FLOAT16",(function(){return a})),n.d(e,"expectArraysClose",(function(){return o})),n.d(e,"testEpsilon",(function(){return u})),n.d(e,"expectPromiseToFail",(function(){return l})),n.d(e,"expectArraysEqual",(function(){return h})),n.d(e,"expectNumbersClose",(function(){return d})),n.d(e,"expectValuesInRange",(function(){return f})),n.d(e,"expectArrayBuffersEqual",(function(){return m}));var r=n(5),i=n(1),s=n(7); /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const a=.1;function o(t,e,n){return null==n&&(n=u()),c(t,e,(t,e)=>p(t,e,n))}function u(){return 32===r.a.backend.floatPrecision()?.001:a}function c(t,e,n){let r=!0;if((Object(s.A)(t)||Object(s.A)(e))&&(r=!1),Object(s.A)(t)&&Object(s.A)(e)&&(r=!0),r){const n=t.constructor.name,r=e.constructor.name;if(n!==r)throw new Error(`Arrays are of different type. 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All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e,n,o,c,l="NHWC",h){let d=t;3===t.rank&&(d=Object(u.a)(t,[1,t.shape[0],t.shape[1],t.shape[2]]));let p=e;3===p.rank&&(p=Object(u.a)(e,[1,e.shape[0],e.shape[1],e.shape[2]])),s.b(4===d.rank,()=>"Error in conv2dDerFilter: input must be rank 4, but got shape "+d.shape+"."),s.b(4===p.rank,()=>"Error in conv2dDerFilter: dy must be rank 4, but got shape "+p.shape+"."),s.b(4===n.length,()=>"Error in conv2dDerFilter: filterShape must be length 4, but got "+n+".");const f="NHWC"===l?d.shape[3]:d.shape[1],m="NHWC"===l?p.shape[3]:p.shape[1];s.b(f===n[2],()=>`Error in conv2dDerFilter: depth of input ${f}) must match input depth in filter (${n[2]}.`),s.b(m===n[3],()=>`Error in conv2dDerFilter: depth of dy (${m}) must match output depth for filter (${n[3]}).`),null!=h&&s.b(s.v(c),()=>`Error in conv2dDerFilter: pad must be an integer when using, dimRoundingMode ${h} but got pad ${c}.`);const g={x:d,dy:p},b={strides:o,pad:c,dataFormat:l,dimRoundingMode:h,filterShape:n};return r.a.runKernelFunc(t=>{const e=a.g(l),r=a.a(d.shape,n,o,1,c,h,!1,e);return t.conv2dDerFilter(d,p,r)},g,null,i.B,b)}})},function(t,e,n){"use strict";(function(t){var e=n(156),r=n(26); /** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const i=Object(r.c)();i.registerFlag("DEBUG",()=>!1,t=>{t&&console.warn("Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. 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All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e=null,n=!1){let u=Object(s.a)(t,"x","any","bool");const h={x:u},d={axis:e,keepDims:n};return r.a.runKernelFunc(t=>{const r=Object(a.I)(e,u.shape);let i=r;const s=Object(o.f)(i,u.rank);null!=s&&(u=Object(l.a)(u,s),i=Object(o.g)(i.length,u.rank));const h=t.any(u,i);if(n){const t=Object(o.e)(h.shape,r);return Object(c.a)(h,t)}return h},h,null,i.g,d)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return l}));var r=n(5),i=n(3),s=n(1),a=n(7),o=n(24),u=n(4),c=n(31);const l=Object(u.b)({argMax_: /** * @license * Copyright 2020 Google Inc. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e=0){let n=Object(s.a)(t,"x","argMax");const u={x:n},l={axis:e};return r.a.runKernelFunc((t,r)=>{r([n]);let i=a.I(e,n.shape);const s=o.f(i,n.rank);return null!=s&&(n=Object(c.a)(n,s),i=o.g(i.length,n.rank)),t.argMax(n,i[0])},u,null,i.h,l)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return l}));var r=n(5),i=n(3),s=n(1),a=n(7),o=n(24),u=n(4),c=n(31);const l=Object(u.b)({argMin_: /** * @license * Copyright 2020 Google Inc. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e=0){let n=Object(s.a)(t,"x","argMin");const u={x:n},l={axis:e};return r.a.runKernelFunc((t,r)=>{r([n]),null==e&&(e=0);let i=a.I(e,n.shape);const s=o.f(i,n.rank);return null!=s&&(n=Object(c.a)(n,s),i=o.g(i.length,n.rank)),t.argMin(n,i[0])},u,null,i.i,l)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return u}));var r=n(5),i=n(3),s=n(25),a=n(1),o=n(4);const u=Object(o.b)({atan2_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e){let n=Object(a.a)(t,"a","atan2"),o=Object(a.a)(e,"b","atan2");[n,o]=Object(s.makeTypesMatch)(n,o);const u={a:n,b:o};return r.a.runKernelFunc((t,e)=>{const r=t.atan2(n,o);return e([n,o]),r},u,null,i.m)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return c}));var r=n(1),i=n(7),s=n(69),a=n(20),o=n(4),u=n(8);const c=Object(o.b)({conv1d_:function(t,e,n,o,c="NWC",l=1,h){const d=Object(r.a)(t,"x","conv1d"),p=Object(r.a)(e,"filter","conv1d");let f=d,m=!1;2===d.rank&&(m=!0,f=Object(u.a)(d,[1,d.shape[0],d.shape[1]])),i.b(3===f.rank,()=>`Error in conv1d: input must be rank 3, but got rank ${f.rank}.`),i.b(3===p.rank,()=>"Error in conv1d: filter must be rank 3, but got rank "+p.rank+"."),null!=h&&i.b(i.v(o),()=>`Error in conv1d: pad must be an integer when using, dimRoundingMode ${h} but got pad ${o}.`),i.b(f.shape[2]===p.shape[1],()=>`Error in conv1d: depth of input (${f.shape[2]}) must match input depth for filter ${p.shape[1]}.`),i.b(a.h(n,l),()=>`Error in conv1D: Either stride or dilation must be 1. 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All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t){const e=Object(s.a)(t,"x","cosh"),n={x:e};return r.a.runKernelFunc((t,n)=>{const r=t.cosh(e);return n([e]),r},n,null,i.H)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return u}));var r=n(5),i=n(3),s=n(1),a=n(7),o=n(4);const u=Object(o.b)({depthToSpace_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e,n="NHWC"){const o=Object(s.a)(t,"x","depthToSpace"),u="NHWC"===n?o.shape[1]:o.shape[2],c="NHWC"===n?o.shape[2]:o.shape[3],l="NHWC"===n?o.shape[3]:o.shape[1];a.b(u*e>=0,()=>`Negative dimension size caused by overflow when multiplying\n ${u} and ${e} for depthToSpace with input shape\n ${o.shape}`),a.b(c*e>=0,()=>`Negative dimension size caused by overflow when multiplying\n ${c} and ${e} for depthToSpace with input shape\n ${o.shape}`),a.b(l%(e*e)==0,()=>`Dimension size must be evenly divisible by ${e*e} but is ${l} for depthToSpace with input shape ${o.shape}`);const h={x:o},d={blockSize:e,dataFormat:n};return r.a.runKernelFunc(t=>t.depthToSpace(o,e,n),h,null,i.K,d)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return c}));var r=n(5),i=n(3),s=n(1),a=n(7),o=n(4),u=n(8);const c=Object(o.b)({dilation2d_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e,n,o,c=[1,1],l="NHWC"){const h=Object(s.a)(t,"x","dilation2d"),d=Object(s.a)(e,"filter","dilation2d");a.b(3===h.rank||4===h.rank,()=>"Error in dilation2d: input must be rank 3 or 4, but got rank "+h.rank+"."),a.b(3===d.rank,()=>"Error in dilation2d: filter must be rank 3, but got rank "+d.rank+"."),a.b("NHWC"===l,()=>"Error in dilation2d: Only NHWC is currently supported, but got dataFormat of "+l);let p=h,f=!1;3===h.rank&&(p=Object(u.a)(h,[1,h.shape[0],h.shape[1],h.shape[2]]),f=!0);const m={x:p,filter:d},g={strides:n,pad:o,dilations:c},b=r.a.runKernel(i.P,m,g);return f?Object(u.a)(b,[b.shape[1],b.shape[2],b.shape[3]]):b}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return l}));var r=n(25),i=n(1),s=n(16),a=n(82),o=n(4),u=n(37),c=n(23);const l=Object(o.b)({divNoNan_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e){let n=Object(i.a)(t,"a","div"),o=Object(i.a)(e,"b","div");[n,o]=Object(r.makeTypesMatch)(n,o);const l=Object(s.a)(n,o),h=Object(c.a)(l),d=Object(a.a)(o,h);return Object(u.a)(d,h,l)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return u}));var r=n(1),i=n(7),s=n(29),a=n(4),o=n(8);const u=Object(a.b)({dot_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e){const n=Object(r.a)(t,"t1","dot"),a=Object(r.a)(e,"t2","dot");i.b(!(1!==n.rank&&2!==n.rank||1!==a.rank&&2!==a.rank),()=>`Error in dot: inputs must all be rank 1 or 2, but got ranks ${n.rank} and ${a.rank}.`);const u=1===n.rank?n.size:n.shape[1],c=1===a.rank?a.size:a.shape[0];if(i.b(u===c,()=>`Error in dot: inner dimensions of inputs must match, but got ${u} and ${c}.`),1===n.rank&&1===a.rank){const t=Object(o.a)(n,[1,-1]),e=Object(o.a)(a,[-1,1]),r=Object(s.a)(t,e);return Object(o.a)(r,[])}if(1===n.rank&&2===a.rank){const t=Object(o.a)(n,[1,-1]),e=Object(o.a)(a,[a.shape[0],a.shape[1]]),r=Object(s.a)(t,e);return Object(o.a)(r,[r.size])}if(2===n.rank&&1===a.rank){const t=Object(o.a)(a,[-1,1]),e=Object(s.a)(n,t);return Object(o.a)(e,[e.size])}{const t=Object(o.a)(a,[a.shape[0],a.shape[1]]);return Object(s.a)(n,t)}}})},function(t,e,n){"use strict";n.r(e),n.d(e,"segOpComputeOptimalWindowSize",(function(){return s})),n.d(e,"computeOutShape",(function(){return a})),n.d(e,"collectGatherOpShapeInfo",(function(){return o}));var r=n(7),i=n(171); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function s(t,e){let n,s=!1;for(t<=i.a?(n=t,s=!0):n=Object(r.G)(t,Math.floor(Math.sqrt(t)));!s;)n>e||n===t?s=!0:n=Object(r.G)(t,n+1);return n}function a(t,e,n){const r=[],i=t.length;for(let s=0;s`Error in localResponseNormalization: x must be rank 3 or 4 but got\n rank ${l.rank}.`),a.b(a.v(e),()=>`Error in localResponseNormalization: depthRadius must be an integer but got depthRadius ${e}.`);let h=l,d=!1;3===l.rank&&(d=!0,h=Object(u.a)(l,[1,l.shape[0],l.shape[1],l.shape[2]]));const p={x:h},f={depthRadius:e,bias:n,alpha:o,beta:c},m=r.a.runKernelFunc((t,r)=>{const i=t.localResponseNormalization4D(h,e,n,o,c);return r([h,i]),i},p,null,i.sb,f);return d?Object(u.a)(m,[m.shape[1],m.shape[2],m.shape[3]]):m}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return o}));var r=n(5),i=n(3),s=n(1),a=n(4);const o=Object(a.b)({log1p_: /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t){const e=Object(s.a)(t,"x","log1p"),n={x:e};return r.a.runKernelFunc((t,n)=>{const r=t.log1p(e);return n([e]),r},n,null,i.yb)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return o}));var r=n(5),i=n(3),s=n(1),a=n(4);const o=Object(a.b)({softplus_: /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t){const e=Object(s.a)(t,"x","softplus"),n={x:e};return r.a.runKernelFunc((t,n)=>{const r=t.softplus(e);return n([e]),r},n,null,i.zc)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return c}));var r=n(1),i=n(18),s=n(62),a=n(102),o=n(130),u=n(4);const c=Object(u.b)({logicalXor_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e){const n=Object(r.a)(t,"a","logicalXor","bool"),u=Object(r.a)(e,"b","logicalXor","bool");return Object(i.a)(n.shape,u.shape),Object(s.a)(Object(o.a)(t,e),Object(a.a)(Object(s.a)(t,e)))}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return u}));var r=n(5),i=n(3),s=n(1),a=n(7),o=n(4);const u=Object(o.b)({mirrorPad_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e,n){a.b("reflect"===n||"symmetric"===n,()=>`Invalid mode. Mode must be either reflect or symmetric. Got ${n}.`);const o=Object(s.a)(t,"x","mirrorPad");if(0===o.rank)throw new Error("mirrorPad(scalar) is not defined. Pass non-scalar to mirrorPad");a.b(e.length===o.rank,()=>`Padding doesn't match input. Must be ${o.rank}. Got ${e.length}.`);const u="reflect"===n?1:0;for(let t=0;t"Invalid number of paddings. Must be length of 2 each."),a.b(e[t][0]>=0&&e[t][0]<=o.shape[t]-u&&e[t][1]>=0&&e[t][1]<=o.shape[t]-u,()=>`Padding in dimension ${t} cannot be greater than or equal to ${o.shape[t]-u} or less than 0 for input of shape `+o.shape);const c={paddings:e,mode:n},l={x:o};return r.a.runKernel(i.Nb,l,c)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return d}));var r=n(1),i=n(7),s=n(124),a=n(98),o=n(20),u=n(131),c=n(4),l=n(8),h=n(105);const d=Object(c.b)({pool_: /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e,n,c,d,p){null==d&&(d=[1,1]),null==p&&(p=1),0===c&&(c="valid");const f=Object(r.a)(t,"x","maxPool");let m=f,g=!1;3===f.rank&&(g=!0,m=Object(l.a)(f,[1,f.shape[0],f.shape[1],f.shape[2]])),i.b(o.h(p,d),()=>`Error in pool: Either strides or dilations must be 1. Got strides ${p} and dilations '${d}'`);const b=o.e(m.shape,e,p,d,c),y=[b.dilationHeight,b.dilationWidth];let v;v="same"===c?function(t,e){const n=t.map((t,n)=>t+(t-1)*(e[n]-1)).map(t=>t-1),r=n.map(t=>Math.floor(t/2)),i=n.map((t,e)=>t-r[e]);return n.map((t,e)=>[r[e],i[e]])}([b.filterHeight,b.filterWidth],y):[[0,0],[0,0]];const w=1===y[0]&&1===y[1],[x,_]=function(t,e,n){const r=n.map(t=>t[0]),i=n.map(t=>t[1]),s=t.concat(r,i),a=e.map((t,e)=>(t-s[e]%t)%t),o=i.map((t,e)=>t+a[e]),u=e.map((t,e)=>[r[e],o[e]]),c=e.map((t,e)=>[0,a[e]]);return[u,c]}([b.inHeight,b.inWidth],y,v),O=w?c:"valid",S=w?m:Object(h.a)(m,y,x),k=("avg"===n?()=>Object(s.a)(S,e,p,O):()=>Object(u.a)(S,e,p,O))(),T=w?k:Object(a.a)(k,y,_);return g?Object(l.a)(T,[T.shape[1],T.shape[2],T.shape[3]]):T}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return d}));var r=n(5),i=n(3),s=n(1),a=n(7),o=n(24),u=n(12),c=n(4),l=n(8),h=n(31);const d=Object(c.b)({prod_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e=null,n=!1){let c=Object(s.a)(t,"x","prod");"bool"===c.dtype&&(c=Object(u.a)(c,"int32"));const d={x:c},p={axis:e,keepDims:n};return r.a.runKernelFunc(t=>{const r=Object(a.I)(e,c.shape),i=Object(o.f)(r,c.rank);let s=r,u=c;null!=i&&(u=Object(h.a)(c,i),s=Object(o.g)(s.length,c.rank));let d=t.prod(u,s);if(n){const t=Object(o.e)(d.shape,r);d=Object(l.a)(d,t)}return d},d,null,i.bc,p)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return a}));var r=n(39),i=n(4),s=n(109);const a=Object(i.b)({randomUniform_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e=0,n=1,i="float32",a){const o=Object(r.a)(t,i),u=new s.c(e,n,null,a);for(let t=0;t{const r=t.rsqrt(e);return n([e]),r},n,null,i.pc)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return o}));var r=n(5),i=n(3),s=n(1),a=n(4);const o=Object(a.b)({selu_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t){const e=Object(s.a)(t,"x","selu"),n={x:e};return r.a.runKernelFunc((t,n)=>{const r=t.selu(e);return n([e]),r},n,null,i.sc)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return c}));var r=n(1),i=n(7),s=n(69),a=n(81),o=n(4),u=n(8);const c=Object(o.b)({separableConv2d_:function(t,e,n,o,c,l=[1,1],h="NHWC"){const d=Object(r.a)(t,"x","separableConv2d"),p=Object(r.a)(e,"depthwiseFilter","separableConv2d"),f=Object(r.a)(n,"pointwiseFilter","separableConv2d");let m=d,g=!1;if(3===d.rank&&(g=!0,m=Object(u.a)(d,[1,d.shape[0],d.shape[1],d.shape[2]])),"NCHW"===h)throw new Error("separableConv2d currently does not support dataFormat NCHW; only NHWC is supported");i.b(4===m.rank,()=>`Error in separableConv2d: input must be rank 4, but got rank ${m.rank}.`),i.b(4===p.rank,()=>`Error in separableConv2d: depthwise filter must be rank 4, but got rank ${p.rank}.`),i.b(4===f.rank,()=>`Error in separableConv2d: pointwise filter must be rank 4, but got rank ${p.rank}.`),i.b(1===f.shape[0],()=>`Error in separableConv2d: the first dimension of pointwise filter must be 1, but got ${f.shape[0]}.`),i.b(1===f.shape[1],()=>`Error in separableConv2d: the second dimension of pointwise filter must be 1, but got ${f.shape[1]}.`);const b=p.shape[2],y=p.shape[3];i.b(f.shape[2]===b*y,()=>`Error in separableConv2d: the third dimension of pointwise filter must be ${b*y}, but got ${f.shape[2]}.`);const v=Object(a.a)(m,p,o,c,h,l),w=Object(s.a)(v,f,1,"valid",h);return g?Object(u.a)(w,[w.shape[1],w.shape[2],w.shape[3]]):w}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return o}));var r=n(5),i=n(3),s=n(1),a=n(4);const o=Object(a.b)({sin_: /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t){const e=Object(s.a)(t,"x","sin"),n={x:e};return r.a.runKernelFunc((t,n)=>{const r=t.sin(e);return n([e]),r},n,null,i.vc)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return o}));var r=n(5),i=n(3),s=n(1),a=n(4);const o=Object(a.b)({sinh_: /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t){const e=Object(s.a)(t,"x","sinh"),n={x:e};return r.a.runKernelFunc((t,n)=>{const r=t.sinh(e);return n([e]),r},n,null,i.wc)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return f}));var r=n(51),i=n(32),s=n(100),a=n(9),o=n(4),u=n(94),c=n(8),l=n(45),h=n(15),d=n(28),p=n(116);const f=Object(o.b)({irfft_: /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t){const e=t.shape[t.shape.length-1],n=t.size/e;let o;if(e<=2){const r=Object(c.a)(t,[n,e]);o=Object(p.a)(r)}else{const f=[n,2*(e-1)],m=Object(c.a)(Object(u.a)(t),[n,e]),g=Object(c.a)(Object(s.a)(t),[n,e]),b=Object(l.a)(Object(d.a)(m,[0,1],[n,e-2]),1),y=Object(a.a)(Object(l.a)(Object(d.a)(g,[0,1],[n,e-2]),1),Object(h.a)(-1)),v=Object(i.a)([m,b],1),w=Object(i.a)([g,y],1),x=Object(c.a)(Object(r.a)(v,w),[f[0],f[1]]);o=Object(p.a)(x)}if(o=Object(u.a)(o),3===t.rank&&0!==t.shape[0]){const e=o,n=t.shape[0];o=Object(c.a)(o,[n,o.shape[0]/n,o.shape[1]]),e.dispose()}return o}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return i}));var r=n(7);function i(t,e,n=0){let i=[];if("number"==typeof e)Object(r.b)(t.shape[n]%e==0,()=>"Number of splits must evenly divide the axis."),i=new Array(e).fill(t.shape[n]/e);else{const s=e.reduce((t,e)=>(-1===e&&(t+=1),t),0);Object(r.b)(s<=1,()=>"There should be only one negative value in split array.");const a=e.indexOf(-1);if(-1!==a){const r=e.reduce((t,e)=>e>0?t+e:t);e[a]=t.shape[n]-r}Object(r.b)(t.shape[n]===e.reduce((t,e)=>t+e),()=>"The sum of sizes must match the size of the axis dimension."),i=e}return i}},function(t,e,n){"use strict";n.d(e,"a",(function(){return a}));var r=n(1),i=n(7),s=n(47); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function a(t,e,n){if(Object(i.d)(t),null!=e&&3!==e.length)throw new Error("tensor3d() requires shape to have three numbers");const a=Object(r.c)(t,n);if(3!==a.length&&1!==a.length)throw new Error("tensor3d() requires values to be number[][][] or flat/TypedArray");if(1===a.length&&null==e)throw new Error("tensor3d() requires shape to be provided when `values` are a flat array");return Object(s.a)(t,e,a,n)}},function(t,e,n){"use strict";n.d(e,"a",(function(){return o}));var r=n(5),i=n(3),s=n(1),a=n(4);const o=Object(a.b)({topk_: /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e=1,n=!0){const a=Object(s.a)(t,"x","topk");if(0===a.rank)throw new Error("topk() expects the input to be of rank 1 or higher");const o=a.shape[a.shape.length-1];if(e>o)throw new Error(`'k' passed to topk() must be <= the last dimension (${o}) but got `+e);const u={x:a},c={k:e,sorted:n},[l,h]=r.a.runKernelFunc(t=>t.topk(a,e,n),u,null,i.Nc,c);return{values:l,indices:h}}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return u}));var r=n(5),i=n(3),s=n(1),a=n(7),o=n(4);const u=Object(o.b)({unique_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e=0){const n=Object(s.a)(t,"x","unique",null);Object(a.b)(n.rank>0,()=>"The input tensor must be at least 1D");const o={x:n},u={axis:e},[c,l]=r.a.runKernel(i.Pc,o,u);return{values:c,indices:l}}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return s}));var r=n(192),i=n(1);const s= /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ async function(t){const e=Object(i.a)(t,"condition","whereAsync","bool"),n=await e.data(),s=Object(r.a)(e.shape,n);return t!==e&&e.dispose(),s}},function(t,e,n){"use strict";n.d(e,"a",(function(){return i}));var r=n(39); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function i(t,e){const n=[];for(let t=0;t{const{x:e}=t.inputs,n=t.backend;let s=new Float32Array(r.util.sizeFromShape(e.shape));if("complex64"!==e.dtype){s=i(n.data.get(e.dataId).values)}else{const t=n.data.get(e.dataId),r=t.complexTensorInfos.real,i=t.complexTensorInfos.imag,a=n.data.get(r.dataId).values,o=n.data.get(i.dataId).values;for(let t=0;tMath.ceil(t)),o=Object(s.b)(r.Ceil,a),u={kernelName:r.Ceil,backendName:"cpu",kernelFunc:o}},function(t,e,n){"use strict";n.d(e,"b",(function(){return a})),n.d(e,"a",(function(){return u}));var r=n(0),i=n(73),s=n(17); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const a=Object(i.a)(t=>Math.exp(t)),o=Object(s.b)(r.Exp,a),u={kernelName:r.Exp,backendName:"cpu",kernelFunc:o}},function(t,e,n){"use strict";n.d(e,"b",(function(){return a})),n.d(e,"a",(function(){return u}));var r=n(0),i=n(73),s=n(17); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const a=Object(i.a)(t=>Math.expm1(t)),o=Object(s.b)(r.Expm1,a),u={kernelName:r.Expm1,backendName:"cpu",kernelFunc:o}},function(t,e,n){"use strict";n.d(e,"b",(function(){return a})),n.d(e,"a",(function(){return u}));var r=n(0),i=n(73),s=n(17); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const a=Object(i.a)(t=>Math.floor(t)),o=Object(s.b)(r.Floor,a),u={kernelName:r.Floor,backendName:"cpu",kernelFunc:o}},function(t,e,n){"use strict";n.d(e,"b",(function(){return a})),n.d(e,"a",(function(){return u}));var r=n(0),i=n(73),s=n(17); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const a=Object(i.a)(t=>Math.log(t)),o=Object(s.b)(r.Log,a),u={kernelName:r.Log,backendName:"cpu",kernelFunc:o}},function(t,e,n){"use strict";n.d(e,"a",(function(){return i}));var r=n(0); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function i(t,e,n,i){const s=r.util.getTypedArrayFromDType(i,r.util.sizeFromShape(n));for(let n=0;ni&&(i=e)}s[n]=i}return s}},function(t,e,n){"use strict";n.d(e,"b",(function(){return a})),n.d(e,"a",(function(){return u}));var r=n(0),i=n(48),s=n(53); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const a=Object(i.a)((t,e)=>t!==e?1:0),o=Object(s.a)(r.NotEqual,a,null,"bool"),u={kernelName:r.NotEqual,backendName:"cpu",kernelFunc:o}},function(t,e,n){"use strict";n.d(e,"b",(function(){return a})),n.d(e,"a",(function(){return u}));var r=n(0),i=n(73),s=n(17); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const a=Object(i.a)(t=>1/Math.sqrt(t)),o=Object(s.b)(r.Rsqrt,a),u={kernelName:r.Rsqrt,backendName:"cpu",kernelFunc:o}},function(t,e,n){"use strict";n.d(e,"b",(function(){return a})),n.d(e,"a",(function(){return u}));var r=n(0),i=n(48),s=n(53); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const a=Object(i.a)((t,e)=>{const n=t-e;return n*n}),o=Object(s.a)(r.SquaredDifference,a),u={kernelName:r.SquaredDifference,backendName:"cpu",kernelFunc:o}},function(t,e,n){"use strict";n.d(e,"a",(function(){return i}));var r=n(0); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function i(t,e,n,i){const s=r.util.parseAxisParam(e,n)[0],a=[1,n[0],1];for(let t=0;t{for(let n=0;n{e.preventDefault(),delete a[t]},!1),1===t)return e.getContext("webgl",o)||e.getContext("experimental-webgl",o);return e.getContext("webgl2",o)} /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */(t);if(null===e)return console.log("Could not get context for WebGL version",t),null;a[t]=e}const e=a[t];return e.isContextLost()?(delete a[t],c(t)):(e.disable(e.DEPTH_TEST),e.disable(e.STENCIL_TEST),e.disable(e.BLEND),e.disable(e.DITHER),e.disable(e.POLYGON_OFFSET_FILL),e.disable(e.SAMPLE_COVERAGE),e.enable(e.SCISSOR_TEST),e.enable(e.CULL_FACE),e.cullFace(e.BACK),a[t])}var l,h,d;function p(t,e){return[e,t]}function f(t){const e=s.util.sizeFromShape(t),n=Math.ceil(e/4);return s.util.sizeToSquarishShape(n)}function m(t,e){return[Math.max(1,Math.ceil(e/2)),Math.max(1,Math.ceil(t/2))]}function g(t,e){const n=t;let r,i,a,o,u,c,l,h,d,p;return 2===Object(s.env)().getNumber("WEBGL_VERSION")?(r=n.R32F,i=n.R16F,a=n.RGBA16F,o=n.RGBA32F,u=n.RED,l=4,h=1,d=n.HALF_FLOAT,p=n.FLOAT):(r=t.RGBA,i=t.RGBA,a=t.RGBA,o=n.RGBA,u=t.RGBA,l=4,h=4,d=null!=e?e.HALF_FLOAT_OES:null,p=t.FLOAT),c=t.RGBA,{internalFormatFloat:r,internalFormatHalfFloat:i,internalFormatPackedHalfFloat:a,internalFormatPackedFloat:o,textureFormatFloat:u,downloadTextureFormat:c,downloadUnpackNumChannels:l,defaultNumChannels:h,textureTypeHalfFloat:d,textureTypeFloat:p}} /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function b(t,e){const n=e();return Object(s.env)().getBool("DEBUG")&&function(t){const e=t.getError();if(e!==t.NO_ERROR)throw new Error("WebGL Error: "+v(t,e))}(t),n}!function(t){t[t.DENSE=0]="DENSE",t[t.SHARED_BATCH=1]="SHARED_BATCH"}(l||(l={})),function(t){t[t.RENDER=0]="RENDER",t[t.UPLOAD=1]="UPLOAD",t[t.PIXELS=2]="PIXELS",t[t.DOWNLOAD=3]="DOWNLOAD"}(h||(h={})),function(t){t[t.UNPACKED_FLOAT16=0]="UNPACKED_FLOAT16",t[t.UNPACKED_FLOAT32=1]="UNPACKED_FLOAT32",t[t.PACKED_4X1_UNSIGNED_BYTE=2]="PACKED_4X1_UNSIGNED_BYTE",t[t.PACKED_2X2_FLOAT32=3]="PACKED_2X2_FLOAT32",t[t.PACKED_2X2_FLOAT16=4]="PACKED_2X2_FLOAT16"}(d||(d={}));function y(t){return!!(Object(s.env)().getBool("WEBGL_RENDER_FLOAT32_ENABLED")||0===t||5.96e-8t.getExtension(e),'Extension "'+e+'" not supported on this browser.')}function x(t,e){const n=U(t,()=>t.createShader(t.VERTEX_SHADER),"Unable to create vertex WebGLShader.");if(b(t,()=>t.shaderSource(n,e)),b(t,()=>t.compileShader(n)),!1===t.getShaderParameter(n,t.COMPILE_STATUS))throw console.log(t.getShaderInfoLog(n)),new Error("Failed to compile vertex shader.");return n}function _(t,e){const n=U(t,()=>t.createShader(t.FRAGMENT_SHADER),"Unable to create fragment WebGLShader.");if(b(t,()=>t.shaderSource(n,e)),b(t,()=>t.compileShader(n)),!1===t.getShaderParameter(n,t.COMPILE_STATUS))throw function(t,e){const n=O.exec(e);if(null==n)return console.log("Couldn't parse line number in error: "+e),void console.log(t);const r=+n[1],i=t.split("\n"),a=i.length.toString().length+2,o=i.map((t,e)=>s.util.rightPad((e+1).toString(),a)+t);let u=0;for(let t=0;tt.createProgram(),"Unable to create WebGLProgram.")}function k(t,e){if(b(t,()=>t.linkProgram(e)),!1===t.getProgramParameter(e,t.LINK_STATUS))throw console.log(t.getProgramInfoLog(e)),new Error("Failed to link vertex and fragment shaders.")}function T(t,e){if(b(t,()=>t.validateProgram(e)),!1===t.getProgramParameter(e,t.VALIDATE_STATUS))throw console.log(t.getProgramInfoLog(e)),new Error("Shader program validation failed.")}function C(t,e){const n=U(t,()=>t.createBuffer(),"Unable to create WebGLBuffer");return 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o=t.getAttribLocation(e,n);return-1!==o&&(b(t,()=>t.bindBuffer(t.ARRAY_BUFFER,r)),b(t,()=>t.vertexAttribPointer(o,i,t.FLOAT,!1,s,a)),b(t,()=>t.enableVertexAttribArray(o)),!0)}function D(t,e,n){W(t,n),b(t,()=>t.activeTexture(t.TEXTURE0+n)),b(t,()=>t.bindTexture(t.TEXTURE_2D,e))}function R(t,e){W(t,e),b(t,()=>t.activeTexture(t.TEXTURE0+e)),b(t,()=>t.bindTexture(t.TEXTURE_2D,null))}function P(t,e,n){return U(t,()=>t.getUniformLocation(e,n),'uniform "'+n+'" not present in program.')}function F(t,e,n){return t.getUniformLocation(e,n)}function z(t,e,n,r){b(t,()=>D(t,e,r)),b(t,()=>t.uniform1i(n,r))}function L(t){b(t,()=>t.bindFramebuffer(t.FRAMEBUFFER,null)),b(t,()=>t.viewport(0,0,t.canvas.width,t.canvas.height)),b(t,()=>t.scissor(0,0,t.canvas.width,t.canvas.height))}function $(t,e,n){b(t,()=>t.bindFramebuffer(t.FRAMEBUFFER,n)),b(t,()=>t.framebufferTexture2D(t.FRAMEBUFFER,t.COLOR_ATTACHMENT0,t.TEXTURE_2D,e,0))}function 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e=c(t);if(1===t){if(!st(e,"OES_texture_float"))return!1}else if(!st(e,"EXT_color_buffer_float"))return!1;return ct(e)}function ut(t){if(0===t)return!1;const e=c(t);if(1!==t){if(st(e,"EXT_color_buffer_float"))return ct(e);const t="EXT_color_buffer_half_float";if(st(e,t)){const n=e.getExtension(t);return function(t,e){const n=g(t,e),r=t.createTexture();t.bindTexture(t.TEXTURE_2D,r);t.texImage2D(t.TEXTURE_2D,0,n.internalFormatHalfFloat,1,1,0,n.textureFormatFloat,n.textureTypeHalfFloat,null);const i=t.createFramebuffer();t.bindFramebuffer(t.FRAMEBUFFER,i),t.framebufferTexture2D(t.FRAMEBUFFER,t.COLOR_ATTACHMENT0,t.TEXTURE_2D,r,0);const s=t.checkFramebufferStatus(t.FRAMEBUFFER)===t.FRAMEBUFFER_COMPLETE;return t.bindTexture(t.TEXTURE_2D,null),t.bindFramebuffer(t.FRAMEBUFFER,null),t.deleteTexture(r),t.deleteFramebuffer(i),s}(e,n)}return!1}if(!st(e,"OES_texture_float"))return!1;if(!st(e,"WEBGL_color_buffer_float"))return!1;return ct(e)}function ct(t){const e=g(t),n=t.createTexture();t.bindTexture(t.TEXTURE_2D,n);t.texImage2D(t.TEXTURE_2D,0,e.internalFormatFloat,1,1,0,e.textureFormatFloat,e.textureTypeFloat,null);const r=t.createFramebuffer();t.bindFramebuffer(t.FRAMEBUFFER,r),t.framebufferTexture2D(t.FRAMEBUFFER,t.COLOR_ATTACHMENT0,t.TEXTURE_2D,n,0);const i=t.checkFramebufferStatus(t.FRAMEBUFFER)===t.FRAMEBUFFER_COMPLETE;return t.bindTexture(t.TEXTURE_2D,null),t.bindFramebuffer(t.FRAMEBUFFER,null),t.deleteTexture(n),t.deleteFramebuffer(r),i}function lt(t){if(2!==t)return!1;return null!=c(t).fenceSync}function ht(t,e){Array.isArray(t)||(t=[t]),t.forEach(t=>{null!=t&&s.util.assert("complex64"!==t.dtype,()=>e+" does not support complex64 tensors in the WebGL backend.")})} /** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const dt=Object(s.env)();dt.registerFlag("HAS_WEBGL",()=>dt.getNumber("WEBGL_VERSION")>0),dt.registerFlag("WEBGL_VERSION",()=>at(2)?2:at(1)?1:0),dt.registerFlag("WEBGL_CHECK_NUMERICAL_PROBLEMS",()=>!1),dt.registerFlag("WEBGL_BUFFER_SUPPORTED",()=>2===dt.get("WEBGL_VERSION")),dt.registerFlag("WEBGL_CPU_FORWARD",()=>!0),dt.registerFlag("WEBGL_FORCE_F16_TEXTURES",()=>!1),dt.registerFlag("WEBGL_PACK",()=>dt.getBool("HAS_WEBGL")),dt.registerFlag("WEBGL_PACK_NORMALIZATION",()=>dt.getBool("WEBGL_PACK")),dt.registerFlag("WEBGL_PACK_CLIP",()=>dt.getBool("WEBGL_PACK")),dt.registerFlag("WEBGL_PACK_DEPTHWISECONV",()=>!1),dt.registerFlag("WEBGL_PACK_BINARY_OPERATIONS",()=>dt.getBool("WEBGL_PACK")),dt.registerFlag("WEBGL_PACK_UNARY_OPERATIONS",()=>dt.getBool("WEBGL_PACK")),dt.registerFlag("WEBGL_PACK_ARRAY_OPERATIONS",()=>dt.getBool("WEBGL_PACK")),dt.registerFlag("WEBGL_PACK_IMAGE_OPERATIONS",()=>dt.getBool("WEBGL_PACK")),dt.registerFlag("WEBGL_PACK_REDUCE",()=>dt.getBool("WEBGL_PACK")),dt.registerFlag("WEBGL_LAZILY_UNPACK",()=>dt.getBool("WEBGL_PACK")),dt.registerFlag("WEBGL_CONV_IM2COL",()=>dt.getBool("WEBGL_PACK")),dt.registerFlag("WEBGL_MAX_TEXTURE_SIZE",()=>tt(dt.getNumber("WEBGL_VERSION"))),dt.registerFlag("WEBGL_MAX_TEXTURES_IN_SHADER",()=>rt(dt.getNumber("WEBGL_VERSION"))),dt.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION",()=>{const t=dt.getNumber("WEBGL_VERSION");return 0===t?0:it(t)}),dt.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE",()=>dt.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0&&!s.device_util.isMobile()),dt.registerFlag("WEBGL_RENDER_FLOAT32_CAPABLE",()=>ot(dt.getNumber("WEBGL_VERSION"))),dt.registerFlag("WEBGL_RENDER_FLOAT32_ENABLED",()=>!dt.getBool("WEBGL_FORCE_F16_TEXTURES")&&dt.getBool("WEBGL_RENDER_FLOAT32_CAPABLE")),dt.registerFlag("WEBGL_DOWNLOAD_FLOAT_ENABLED",()=>ut(dt.getNumber("WEBGL_VERSION"))),dt.registerFlag("WEBGL_FENCE_API_ENABLED",()=>lt(dt.getNumber("WEBGL_VERSION"))),dt.registerFlag("WEBGL_SIZE_UPLOAD_UNIFORM",()=>dt.getBool("WEBGL_RENDER_FLOAT32_ENABLED")?4:0),dt.registerFlag("WEBGL_DELETE_TEXTURE_THRESHOLD",()=>-1,t=>{if(t<0&&-1!==t)throw new Error(`WEBGL_DELETE_TEXTURE_THRESHOLD must be -1 (indicating never delete) or at least 0, but got ${t}.`)});var pt=n(204); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const{simpleAbsImpl:ft,addImpl:mt,ceilImpl:gt,expImpl:bt,expm1Impl:yt,floorImpl:vt,logImpl:wt,maxImpl:xt,multiplyImpl:_t,rsqrtImpl:Ot,sliceImpl:St,subImpl:kt,transposeImpl:Tt,uniqueImpl:Ct}=pt; /** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class At{constructor(t,e){this.outputShape=[],this.outputShape=t,this.variableNames=e.map((t,e)=>"T"+e);const n=[];this.variableNames.forEach(t=>{n.push(`float v${t} = get${t}AtOutCoords();`)});const r=this.variableNames.map(t=>"v"+t).join(" + ");this.userCode=`\n void main() {\n ${n.join("\n ")}\n\n float result = ${r};\n setOutput(result);\n }\n `}} /** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class Nt{constructor(t,e){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.variableNames=e.map((t,e)=>"T"+e);const n=[];this.variableNames.forEach(t=>{n.push(`vec4 v${t} = get${t}AtOutCoords();`)});const r=this.variableNames.map(t=>"v"+t).join(" + ");this.userCode=`\n void main() {\n ${n.join("\n ")}\n\n vec4 result = ${r};\n setOutput(result);\n }\n `}} /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class It{constructor(t,e,n){this.variableNames=["A"];const{windowSize:r,batchSize:i,outSize:s}=t;n||this.variableNames.push("bestIndicesA"),this.outputShape=[i,s];const a="max"===e?">":"<",o=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = outIdx * ${r};\n\n int bestIndex = inOffset;\n float bestValue = getA(batch, bestIndex);\n\n for (int i = 0; i < ${r}; i++) {\n int inIdx = ${o};\n float candidate = getA(batch, inIdx);\n if (candidate ${a} bestValue) {\n bestValue = candidate;\n bestIndex = inIdx;\n }\n }\n setOutput(float(bestIndex));\n }\n `}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Et(t,e){return["x","y","z","w","u","v"].slice(0,e).map(e=>`${t}.${e}`)}function jt(t,e){return 1===e?[t]:Et(t,e)} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function Mt(){let t,e,n,r,i,a,o,u,c,l;return 2===Object(s.env)().getNumber("WEBGL_VERSION")?(t="#version 300 es",e="in",n="out",r="in",i="texture",a="outputColor",o="out vec4 outputColor;",u="\n bool isnan_custom(float val) {\n return (val > 0.0 || val < 0.0) ? false : val != 0.0;\n }\n\n bvec4 isnan_custom(vec4 val) {\n return bvec4(isnan_custom(val.x),\n isnan_custom(val.y), isnan_custom(val.z), isnan_custom(val.w));\n }\n\n #define isnan(value) isnan_custom(value)\n ",c="",l="\n #define round(value) newRound(value)\n int newRound(float value) {\n return int(floor(value + 0.5));\n }\n\n ivec4 newRound(vec4 value) {\n return ivec4(floor(value + vec4(0.5)));\n }\n "):(t="",e="attribute",n="varying",r="varying",i="texture2D",a="gl_FragColor",o="",u="\n #define isnan(value) isnan_custom(value)\n bool isnan_custom(float val) {\n return (val > 0. || val < 1. || val == 0.) ? false : true;\n }\n bvec4 isnan_custom(vec4 val) {\n return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));\n }\n ",c="\n uniform float INFINITY;\n\n bool isinf(float val) {\n return abs(val) == INFINITY;\n }\n bvec4 isinf(vec4 val) {\n return equal(abs(val), vec4(INFINITY));\n }\n ",l="\n int round(float value) {\n return int(floor(value + 0.5));\n }\n\n ivec4 round(vec4 value) {\n return ivec4(floor(value + vec4(0.5)));\n }\n "),{version:t,attribute:e,varyingVs:n,varyingFs:r,texture2D:i,output:a,defineOutput:o,defineSpecialNaN:u,defineSpecialInf:c,defineRound:l}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Dt(t,e,n="index"){const r=s.util.computeStrides(e);return r.map((e,i)=>`${`int ${t[i]} = ${n} / ${e}`}; ${i===r.length-1?`int ${t[i+1]} = ${n} - ${t[i]} * ${e}`:`index -= ${t[i]} * ${e}`};`).join("")}function Rt(t){const e=s.util.computeStrides(t).map(t=>t.toString());return`\n int getFlatIndex(ivec3 coords) {\n return coords.x * ${e[0]} + coords.y * ${e[1]} + coords.z;\n }\n`}const Pt="\n const float FLOAT_MAX = 1.70141184e38;\n const float FLOAT_MIN = 1.17549435e-38;\n\n lowp vec4 encode_float(highp float v) {\n if (isnan(v)) {\n return vec4(255, 255, 255, 255);\n }\n\n highp float av = abs(v);\n\n if(av < FLOAT_MIN) {\n return vec4(0.0, 0.0, 0.0, 0.0);\n } else if(v > FLOAT_MAX) {\n return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n } else if(v < -FLOAT_MAX) {\n return vec4(0.0, 0.0, 128.0, 255.0) / 255.0;\n }\n\n highp vec4 c = vec4(0,0,0,0);\n\n highp float e = floor(log2(av));\n highp float m = exp2(fract(log2(av))) - 1.0;\n\n c[2] = floor(128.0 * m);\n m -= c[2] / 128.0;\n c[1] = floor(32768.0 * m);\n m -= c[1] / 32768.0;\n c[0] = floor(8388608.0 * m);\n\n highp float ebias = e + 127.0;\n c[3] = floor(ebias / 2.0);\n ebias -= c[3] * 2.0;\n c[2] += floor(ebias) * 128.0;\n\n c[3] += 128.0 * step(0.0, -v);\n\n return c / 255.0;\n }\n",{getBroadcastDims:Ft}=s.backend_util; /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function zt(t,e,n,r){const i=[];t.forEach(t=>{const e=s.util.sizeFromShape(t.shapeInfo.logicalShape);t.shapeInfo.isUniform?i.push(`uniform float ${t.name}${e>1?`[${e}]`:""};`):(i.push(`uniform sampler2D ${t.name};`),i.push(`uniform int offset${t.name};`))});const a=i.join("\n"),o=t.map(t=>function(t,e,n=!1){let r="";r+=n?$t(t):Lt(t);const i=t.shapeInfo.logicalShape,a=e.logicalShape;i.length<=a.length&&(r+=n?function(t,e){const n=t.name,r=n.charAt(0).toUpperCase()+n.slice(1),i="get"+r+"AtOutCoords",a=t.shapeInfo.logicalShape.length,o=e.logicalShape.length,u=Ft(t.shapeInfo.logicalShape,e.logicalShape),c=Kt(o),l=o-a;let h;const d=["x","y","z","w","u","v"];h=0===a?"":o<2&&u.length>=1?"coords = 0;":u.map(t=>`coords.${d[t+l]} = 0;`).join("\n");let p="";p=o<2&&a>0?"coords":t.shapeInfo.logicalShape.map((t,e)=>"coords."+d[e+l]).join(", ");let f="return outputValue;";const m=1===s.util.sizeFromShape(t.shapeInfo.logicalShape),g=1===s.util.sizeFromShape(e.logicalShape);if(1!==a||m||g){if(m&&!g)f=1===o?"\n return vec4(outputValue.x, outputValue.x, 0., 0.);\n ":"\n return vec4(outputValue.x);\n ";else if(u.length){const t=a-2,e=a-1;u.indexOf(t)>-1&&u.indexOf(e)>-1?f="return vec4(outputValue.x);":u.indexOf(t)>-1?f="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":u.indexOf(e)>-1&&(f="return vec4(outputValue.xx, outputValue.zz);")}}else f="\n return vec4(outputValue.xy, outputValue.xy);\n ";return`\n vec4 ${i}() {\n ${c} coords = getOutputCoords();\n ${h}\n vec4 outputValue = get${r}(${p});\n ${f}\n }\n `}(t,e):function(t,e){const n=t.name,r=n.charAt(0).toUpperCase()+n.slice(1),i="get"+r+"AtOutCoords",a=e.texShape,o=t.shapeInfo.texShape,u=t.shapeInfo.logicalShape.length,c=e.logicalShape.length;if(!t.shapeInfo.isUniform&&u===c&&null==t.shapeInfo.flatOffset&&s.util.arraysEqual(o,a))return`\n float ${i}() {\n return sampleTexture(${n}, resultUV);\n }\n `;const l=Kt(c),h=Ft(t.shapeInfo.logicalShape,e.logicalShape),d=c-u;let p;const f=["x","y","z","w","u","v"];p=0===u?"":c<2&&h.length>=1?"coords = 0;":h.map(t=>`coords.${f[t+d]} = 0;`).join("\n");let m="";m=c<2&&u>0?"coords":t.shapeInfo.logicalShape.map((t,e)=>"coords."+f[e+d]).join(", ");return`\n float ${i}() {\n ${l} coords = getOutputCoords();\n ${p}\n return get${r}(${m});\n }\n `}(t,e));return r}(t,e,r)).join("\n"),u=e.texShape,c=Mt(),l=function(t){return`\n float sampleTexture(sampler2D textureSampler, vec2 uv) {\n return ${t.texture2D}(textureSampler, uv).r;\n }\n `}(c);let h,d,p=function(t){return`${t.version}\n precision highp float;\n precision highp int;\n precision highp sampler2D;\n ${t.varyingFs} vec2 resultUV;\n ${t.defineOutput}\n const vec2 halfCR = vec2(0.5, 0.5);\n\n struct ivec5\n {\n int x;\n int y;\n int z;\n int w;\n int u;\n };\n\n struct ivec6\n {\n int x;\n int y;\n int z;\n int w;\n int u;\n int v;\n };\n\n uniform float NAN;\n ${t.defineSpecialNaN}\n ${t.defineSpecialInf}\n ${t.defineRound}\n\n int imod(int x, int y) {\n return x - y * (x / y);\n }\n\n int idiv(int a, int b, float sign) {\n int res = a / b;\n int mod = imod(a, b);\n if (sign < 0. && mod != 0) {\n res -= 1;\n }\n return res;\n }\n\n //Based on the work of Dave Hoskins\n //https://www.shadertoy.com/view/4djSRW\n #define HASHSCALE1 443.8975\n float random(float seed){\n vec2 p = resultUV * seed;\n vec3 p3 = fract(vec3(p.xyx) * HASHSCALE1);\n p3 += dot(p3, p3.yzx + 19.19);\n return fract((p3.x + p3.y) * p3.z);\n }\n\n ${Bt}\n ${qt}\n ${Vt}\n `}(c);e.isPacked?(h=function(t,e){switch(t.length){case 0:return Wt();case 1:return function(t,e){const n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];if(1===n[0])return`\n int getOutputCoords() {\n return 2 * int(resultUV.x * ${n[1]}.0);\n }\n `;if(1===n[1])return`\n int getOutputCoords() {\n return 2 * int(resultUV.y * ${n[0]}.0);\n }\n `;return`\n int getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${n[0]}, ${n[1]}));\n return 2 * (resTexRC.x * ${n[1]} + resTexRC.y);\n }\n `}(0,e);case 2:return function(t,e){const n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];if(s.util.arraysEqual(t,e))return`\n ivec2 getOutputCoords() {\n return 2 * ivec2(resultUV.yx * vec2(${n[0]}, ${n[1]}));\n }\n `;const r=Math.ceil(t[1]/2);return`\n ivec2 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${n[0]}, ${n[1]}));\n\n int index = resTexRC.x * ${n[1]} + resTexRC.y;\n int r = 2 * (index / ${r});\n int c = imod(index, ${r}) * 2;\n\n return ivec2(r, c);\n }\n `}(t,e);case 3:return function(t,e){const n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)],r=Math.ceil(t[2]/2),i=r*Math.ceil(t[1]/2);return`\n ivec3 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${n[0]}, ${n[1]}));\n int index = resTexRC.x * ${n[1]} + resTexRC.y;\n\n int b = index / ${i};\n index -= b * ${i};\n\n int r = 2 * (index / ${r});\n int c = imod(index, ${r}) * 2;\n\n return ivec3(b, r, c);\n }\n `}(t,e);default:return function(t,e){const n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)],r=Math.ceil(t[t.length-1]/2),i=r*Math.ceil(t[t.length-2]/2);let s=i,a="",o="b, r, c";for(let e=2;et[e]).join(", ")} /** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class Yt{constructor(t,e,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,s.util.assert(t.length>2,()=>`Packed arg${n.charAt(0).toUpperCase()+n.slice(1)} supports only inputs with rank above 2.`);const i=t[t.length-1],a=Math.ceil(i/e);this.outputShape=t.slice(0,-1),a>1&&this.outputShape.push(a),r||this.variableNames.push("bestIndicesA");const o=this.outputShape,u=o.length,c=Kt(u),l=jt("coords",u);let h,d;if(1===a){d=u+1;const t=Kt(d);h=`\n ${t} sourceLocR = ${t}(${l.join()}, 0);\n ++${l[u-1]};\n ${t} sourceLocG = ${t}(${l.join()}, 0);\n ++${l[u-2]};\n ${t} sourceLocA = ${t}(${l.join()}, 0);\n --${l[u-1]};\n ${t} sourceLocB = ${t}(${l.join()}, 0);\n --${l[u-2]};`}else d=u,h=`\n ${c} sourceLocR = coords;\n ++${l[u-1]};\n ${c} sourceLocG = coords;\n ++${l[u-2]};\n ${c} sourceLocA = coords;\n --${l[u-1]};\n ${c} sourceLocB = coords;\n --${l[u-2]};`;const p=["x","y","z","w","u","v"].slice(0,d),f="."+p[d-1],m=p.map(t=>"int "+t),g=jt("sourceLocR",d-1).concat("inIdx.r"),b=jt("sourceLocG",d-1).concat("inIdx.g"),y=jt("sourceLocB",d-1).concat("inIdx.b"),v=jt("sourceLocA",d-1).concat("inIdx.a"),w="max"===n?"greaterThan":"lessThan",x=r?"":`\n inIdx = round(vec4(getBestIndicesAChannel(${g.join()}),\n getBestIndicesAChannel(${b.join()}),\n getBestIndicesAChannel(${y.join()}),\n getBestIndicesAChannel(${v.join()})));`,_=`vec4(\n getAChannel(${g.join()}),\n hasNextCol ? getAChannel(${b.join()}) : 0.,\n hasNextRow ? getAChannel(${y.join()}) : 0.,\n hasNextRow && hasNextCol ? getAChannel(${v.join()}) : 0.)`,O=r?"":`\n float getBestIndicesAChannel(${m.join()}) {\n return getChannel(getBestIndicesA(${p.join()}),\n vec2(${p.slice(-2).join()}));\n }`;this.userCode=`\n float getAChannel(${m.join()}) {\n return getChannel(getA(${p.join()}),\n vec2(${p.slice(-2).join()}));\n }\n ${O}\n void main() {\n ${c} coords = getOutputCoords();\n bool hasNextCol = ${l[u-1]} < ${o[u-1]-1};\n bool hasNextRow = ${l[u-2]} < ${o[u-2]-1};\n ${h}\n ivec4 srcIdx = ivec4(sourceLocR${f}, sourceLocG${f},\n sourceLocB${f}, sourceLocA${f}) * ${e};\n ivec4 inIdx = srcIdx;\n vec4 bestIndex = vec4(inIdx);\n vec4 bestValue = ${_};\n\n for (int i = 0; i < ${e}; i++) {\n inIdx = srcIdx;\n ${x}\n vec4 candidate = ${_};\n bvec4 nan = isnan(candidate);\n bvec4 replace = bvec4(\n vec4(${w}(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n bestValue = vec4(replace.x ? candidate.x : bestValue.x,\n replace.y ? candidate.y : bestValue.y,\n replace.z ? candidate.z : bestValue.z,\n replace.w ? candidate.w : bestValue.w);\n bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n srcIdx++;\n }\n setOutput(bestIndex);\n }\n `}} /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class Jt{constructor(t){this.variableNames=["dy"],this.outputShape=t.inShape;const e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,i=t.strideWidth,s=t.dilationHeight,a=t.dilationWidth,o=t.effectiveFilterHeight,u=t.effectiveFilterWidth,c=o-1-t.padInfo.top,l=u-1-t.padInfo.left,h=1/(e*n);this.userCode=`\n const ivec2 pads = ivec2(${c}, ${l});\n const float avgMultiplier = float(${h});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n\n ivec2 dyRCCorner = coords.yz - pads;\n int dyRCorner = dyRCCorner.x;\n int dyCCorner = dyRCCorner.y;\n\n // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${o};\n wR += ${s}) {\n float dyR = float(dyRCorner + wR) / ${r}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${u};\n wC+= ${a}) {\n float dyC = float(dyCCorner + wC) / ${i}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(b, idyR, idyC, d);\n\n dotProd += dyValue * avgMultiplier;\n }\n }\n setOutput(dotProd);\n }\n `}}class Zt{constructor(t){this.variableNames=["dy"],this.outputShape=t.inShape;const e=t.filterDepth,n=t.filterHeight,r=t.filterWidth,i=t.strideDepth,s=t.strideHeight,a=t.strideWidth,o=t.dilationDepth,u=t.dilationHeight,c=t.dilationWidth,l=t.effectiveFilterDepth,h=t.effectiveFilterHeight,d=t.effectiveFilterWidth,p=l-1-t.padInfo.front,f=h-1-t.padInfo.top,m=d-1-t.padInfo.left,g=1/(e*n*r);this.userCode=`\n const ivec3 pads = ivec3(${p}, ${f}, ${m});\n const float avgMultiplier = float(${g});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n int dyDCorner = dyCorner.x;\n int dyRCorner = dyCorner.y;\n int dyCCorner = dyCorner.z;\n\n // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n // dx(xD, xR, xC, ch).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n\n for (int wD = 0; wD < ${l};\n wD += ${o}) {\n float dyD = float(dyDCorner + wD) / ${i}.0;\n\n if (dyD < 0.0 || dyD >= ${t.outDepth}.0 || fract(dyD) > 0.0) {\n continue;\n }\n int idyD = int(dyD);\n\n for (int wR = 0; wR < ${h};\n wR += ${u}) {\n float dyR = float(dyRCorner + wR) / ${s}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${d};\n wC += ${c}) {\n float dyC = float(dyCCorner + wC) / ${a}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n dotProd += dyValue * avgMultiplier;\n }\n }\n }\n setOutput(dotProd);\n }\n `}} /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const te="return (a < 0.) ? b * a : a;";class ee{constructor(t,e,n){this.variableNames=["A","B"],this.outputShape=s.backend_util.assertAndGetBroadcastShape(e,n),this.userCode=`\n float binaryOperation(float a, float b) {\n ${t}\n }\n\n void main() {\n float a = getAAtOutCoords();\n float b = getBAtOutCoords();\n setOutput(binaryOperation(a, b));\n }\n `}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const ne="\n vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n";class re{constructor(t,e,n,r=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=s.backend_util.assertAndGetBroadcastShape(e,n);const i=this.outputShape.length;let a="";if(r)if(0===i||1===s.util.sizeFromShape(this.outputShape))a="\n result.y = 0.;\n result.z = 0.;\n result.w = 0.;\n ";else{if(a=`\n ${Kt(i)} coords = getOutputCoords();\n `,1===i)a+=`\n result.y = (coords + 1) >= ${this.outputShape[0]} ? 0. : result.y;\n result.z = 0.;\n result.w = 0.;\n `;else{const t=jt("coords",i);a+=`\n bool nextRowOutOfBounds =\n (${t[i-2]} + 1) >= ${this.outputShape[i-2]};\n bool nextColOutOfBounds =\n (${t[i-1]} + 1) >= ${this.outputShape[i-1]};\n result.y = nextColOutOfBounds ? 0. : result.y;\n result.z = nextRowOutOfBounds ? 0. : result.z;\n result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n `}}this.userCode=`\n vec4 binaryOperation(vec4 a, vec4 b) {\n ${t}\n }\n\n void main() {\n vec4 a = getAAtOutCoords();\n vec4 b = getBAtOutCoords();\n\n vec4 result = binaryOperation(a, b);\n ${a}\n\n setOutput(result);\n }\n `}} /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class ie{constructor(t){this.variableNames=["A"],this.outputShape=t,this.userCode="\n uniform float minVal;\n uniform float maxVal;\n\n void main() {\n float value = getAAtOutCoords();\n if (isnan(value)) {\n setOutput(value);\n return;\n }\n\n setOutput(clamp(value, minVal, maxVal));\n }\n "}getCustomSetupFunc(t,e){return(n,r)=>{null==this.minLoc&&(this.minLoc=n.getUniformLocationNoThrow(r,"minVal"),this.maxLoc=n.getUniformLocationNoThrow(r,"maxVal")),n.gl.uniform1f(this.minLoc,t),n.gl.uniform1f(this.maxLoc,e)}}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class se{constructor(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.userCode="\n uniform float minVal;\n uniform float maxVal;\n\n void main() {\n vec4 value = getAAtOutCoords();\n\n if (any(isnan(value))) {\n setOutput(value);\n return;\n }\n\n setOutput(clamp(value, vec4(minVal), vec4(maxVal)));\n }\n "}getCustomSetupFunc(t,e){return(n,r)=>{null==this.minLoc&&(this.minLoc=n.getUniformLocationNoThrow(r,"minVal"),this.maxLoc=n.getUniformLocationNoThrow(r,"maxVal")),n.gl.uniform1f(this.minLoc,t),n.gl.uniform1f(this.maxLoc,e)}}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class ae{constructor(t){this.variableNames=["real","imag"],this.outputShape=t,this.userCode="\n void main() {\n float re = abs(getRealAtOutCoords());\n float im = abs(getImagAtOutCoords());\n float mx = max(re, im);\n\n // sadly the length function in glsl is not underflow-safe\n // (at least not on Intel GPUs). So the safe solution is\n // to ensure underflow-safety in all cases.\n setOutput(\n mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))\n );\n }\n "}} /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class oe{constructor(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;const e=t.strideHeight,n=t.strideWidth,r=t.padInfo.top,i=t.padInfo.left,s="channelsLast"===t.dataFormat;this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int wR = coords.x;\n int wC = coords.y;\n int d1 = coords.z;\n int d2 = coords.w;\n\n // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n\n for (int b = 0; b < ${t.batchSize}; b++) {\n for (int yR = 0; yR < ${t.outHeight}; yR++) {\n int xR = wR + yR * ${e} - ${r};\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int yC = 0; yC < ${t.outWidth}; yC++) {\n int xC = wC + yC * ${n} - ${i};\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n if (${s}) {\n float dyValue = getDy(b, yR, yC, d2);\n float xValue = getX(b, xR, xC, d1);\n dotProd += (xValue * dyValue);\n } else {\n float dyValue = getDy(b, d2, yR, yC);\n float xValue = getX(b, d1, xR, xC);\n dotProd += (xValue * dyValue);\n }\n\n }\n }\n }\n setOutput(dotProd);\n }\n `}}class ue{constructor(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;const e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,i=t.strideWidth,s="channelsLast"===t.dataFormat,a=e-1-t.padInfo.top,o=n-1-t.padInfo.left,u=s?1:2,c=s?2:3,l=s?3:1;this.userCode=`\n const ivec2 pads = ivec2(${a}, ${o});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d1 = coords[${l}];\n\n ivec2 dyCorner = ivec2(coords[${u}], coords[${c}]) - pads;\n int dyRCorner = dyCorner.x;\n int dyCCorner = dyCorner.y;\n\n // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${e}; wR++) {\n float dyR = float(dyRCorner + wR) / ${r}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = ${e} - 1 - wR;\n\n for (int wC = 0; wC < ${n}; wC++) {\n float dyC = float(dyCCorner + wC) / ${i}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = ${n} - 1 - wC;\n\n for (int d2 = 0; d2 < ${t.outChannels}; d2++) {\n\n if (${s}) {\n float xValue = getDy(batch, idyR, idyC, d2);\n float wValue = getW(wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n } else {\n float xValue = getDy(batch, d2, idyR, idyC);\n float wValue = getW(wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n }\n\n }\n }\n }\n setOutput(dotProd);\n }\n `}}class ce{constructor(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;const e=t.strideDepth,n=t.strideHeight,r=t.strideWidth,i=t.padInfo.front,s=t.padInfo.top,a=t.padInfo.left;this.userCode=`\n void main() {\n ivec5 coords = getOutputCoords();\n int wF = coords.x;\n int wR = coords.y;\n int wC = coords.z;\n int d1 = coords.w;\n int d2 = coords.u;\n\n float dotProd = 0.0;\n\n for (int b = 0; b < ${t.batchSize}; b++) {\n for (int yF = 0; yF < ${t.outDepth}; yF++) {\n int xF = wF + yF * ${e} - ${i};\n\n if (xF < 0 || xF >= ${t.inDepth}) {\n continue;\n }\n\n for (int yR = 0; yR < ${t.outHeight}; yR++) {\n int xR = wR + yR * ${n} - ${s};\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int yC = 0; yC < ${t.outWidth}; yC++) {\n int xC = wC + yC * ${r} - ${a};\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n float dyValue = getDy(b, yF, yR, yC, d2);\n float xValue = getX(b, xF, xR, xC, d1);\n dotProd += (xValue * dyValue);\n }\n }\n }\n }\n setOutput(dotProd);\n }\n `}}class le{constructor(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;const e=t.filterDepth,n=t.filterHeight,r=t.filterWidth,i=t.strideDepth,s=t.strideHeight,a=t.strideWidth,o=e-1-t.padInfo.front,u=n-1-t.padInfo.top,c=r-1-t.padInfo.left;this.userCode=`\n const ivec3 pads = ivec3(${o}, ${u}, ${c});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int d1 = coords.u;\n\n\n ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n int dyFCorner = dyCorner.x;\n int dyRCorner = dyCorner.y;\n int dyCCorner = dyCorner.z;\n\n float dotProd = 0.0;\n for (int wF = 0; wF < ${e}; wF++) {\n float dyF = float(dyFCorner + wF) / ${i}.0;\n\n if (dyF < 0.0 || dyF >= ${t.outDepth}.0 || fract(dyF) > 0.0) {\n continue;\n }\n int idyF = int(dyF);\n\n int wFPerm = ${e} - 1 - wF;\n\n for (int wR = 0; wR < ${n}; wR++) {\n float dyR = float(dyRCorner + wR) / ${s}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = ${n} - 1 - wR;\n\n for (int wC = 0; wC < ${r}; wC++) {\n float dyC = float(dyCCorner + wC) / ${a}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = ${r} - 1 - wC;\n\n for (int d2 = 0; d2 < ${t.outChannels}; d2++) {\n float xValue = getDy(batch, idyF, idyR, idyC, d2);\n float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n }\n }\n }\n }\n setOutput(dotProd);\n }\n `}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class he{constructor(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;const e=t.strideHeight,n=t.strideWidth,r=t.padInfo.top,i=t.padInfo.left,s=t.outChannels/t.inChannels;this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int wR = coords.x;\n int wC = coords.y;\n int d1 = coords.z;\n int dm = coords.w;\n int d2 = d1 * ${s} + dm;\n\n float dotProd = 0.0;\n\n // TO DO: Vec4 over the batch size\n for (int b = 0; b < ${t.batchSize}; b++) {\n for (int yR = 0; yR < ${t.outHeight}; yR++) {\n int xR = wR + yR * ${e} - ${r};\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int yC = 0; yC < ${t.outWidth}; yC++) {\n int xC = wC + yC * ${n} - ${i};\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n float dyValue = getDy(b, yR, yC, d2);\n float xValue = getX(b, xR, xC, d1);\n dotProd += (xValue * dyValue);\n }\n }\n }\n setOutput(dotProd);\n }\n `}}class de{constructor(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;const e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,i=t.strideWidth,s=e-1-t.padInfo.top,a=n-1-t.padInfo.left,o=t.outChannels/t.inChannels;this.userCode=`\n const ivec2 pads = ivec2(${s}, ${a});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d1 = coords[3];\n ivec2 dyCorner = coords.yz - pads;\n int dyRCorner = dyCorner.x;\n int dyCCorner = dyCorner.y;\n\n float dotProd = 0.0;\n\n for (int wR = 0; wR < ${e}; wR++) {\n float dyR = float(dyRCorner + wR) / ${r}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = ${e} - 1 - wR;\n\n for (int wC = 0; wC < ${n}; wC++) {\n float dyC = float(dyCCorner + wC) / ${i}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = ${n} - 1 - wC;\n\n // TO DO: Vec4 over the channelMul\n for (int dm = 0; dm < ${o}; dm++) {\n int d2 = d1 * ${o} + dm;\n float xValue = getDy(batch, idyR, idyC, d2);\n float wValue = getW(wRPerm, wCPerm, d1, dm);\n dotProd += xValue * wValue;\n }\n }\n }\n setOutput(dotProd);\n }\n `}} /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class pe{constructor(t,e=!1,n=null,r=!1){this.variableNames=["x","W"],this.outputShape=t.outShape;const i=t.padInfo.top,s=t.padInfo.left,a=t.strideHeight,o=t.strideWidth,u=t.dilationHeight,c=t.dilationWidth,l=t.filterHeight,h=t.filterWidth,d=4*Math.floor(t.inChannels/4),p=t.inChannels%4,f="channelsLast"===t.dataFormat,m=f?1:2,g=f?2:3,b=f?3:1;let y="",v="";n&&(y=r?`float activation(float a) {\n float b = getPreluActivationWeightsAtOutCoords();\n ${n}\n }`:`\n float activation(float x) {\n ${n}\n }\n `,v="result = activation(result);");const w=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode=`\n ${y}\n\n const ivec2 strides = ivec2(${a}, ${o});\n const ivec2 pads = ivec2(${i}, ${s});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d2 = coords[${b}];\n\n ivec2 xRCCorner =\n ivec2(coords[${m}], coords[${g}]) * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${l}; wR++) {\n int xR = xRCorner + wR * ${u};\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${h}; wC++) {\n int xC = xCCorner + wC * ${c};\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n for (int d1 = 0; d1 < ${d}; d1 += 4) {\n vec4 wValues = vec4(\n getW(wR, wC, d1, d2),\n getW(wR, wC, d1 + 1, d2),\n getW(wR, wC, d1 + 2, d2),\n getW(wR, wC, d1 + 3, d2)\n );\n\n if (${f}) {\n vec4 xValues = vec4(\n getX(batch, xR, xC, d1),\n getX(batch, xR, xC, d1 + 1),\n getX(batch, xR, xC, d1 + 2),\n getX(batch, xR, xC, d1 + 3)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec4 xValues = vec4(\n getX(batch, d1, xR, xC),\n getX(batch, d1 + 1, xR, xC),\n getX(batch, d1 + 2, xR, xC),\n getX(batch, d1 + 3, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n }\n\n if (${1===p}) {\n\n if (${f}) {\n dotProd +=\n getX(batch, xR, xC, ${d}) *\n getW(wR, wC, ${d}, d2);\n } else {\n dotProd +=\n getX(batch, ${d}, xR, xC) *\n getW(wR, wC, ${d}, d2);\n }\n\n } else if (${2===p}) {\n vec2 wValues = vec2(\n getW(wR, wC, ${d}, d2),\n getW(wR, wC, ${d} + 1, d2)\n );\n\n if (${f}) {\n vec2 xValues = vec2(\n getX(batch, xR, xC, ${d}),\n getX(batch, xR, xC, ${d} + 1)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec2 xValues = vec2(\n getX(batch, ${d}, xR, xC),\n getX(batch, ${d} + 1, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n\n } else if (${3===p}) {\n vec3 wValues = vec3(\n getW(wR, wC, ${d}, d2),\n getW(wR, wC, ${d} + 1, d2),\n getW(wR, wC, ${d} + 2, d2)\n );\n\n if (${f}) {\n vec3 xValues = vec3(\n getX(batch, xR, xC, ${d}),\n getX(batch, xR, xC, ${d} + 1),\n getX(batch, xR, xC, ${d} + 2)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec3 xValues = vec3(\n getX(batch, ${d}, xR, xC),\n getX(batch, ${d} + 1, xR, xC),\n getX(batch, ${d} + 2, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n\n }\n }\n }\n\n float result = dotProd;\n ${w}\n ${v}\n setOutput(result);\n }\n `}}class fe{constructor(t){this.variableNames=["x","W"],this.outputShape=t.outShape;const e=t.padInfo.front,n=t.padInfo.top,r=t.padInfo.left,i=t.strideDepth,s=t.strideHeight,a=t.strideWidth,o=t.dilationDepth,u=t.dilationHeight,c=t.dilationWidth,l=t.filterDepth,h=t.filterHeight,d=t.filterWidth,p=4*Math.floor(t.inChannels/4),f=t.inChannels%4;this.userCode=`\n const ivec3 strides = ivec3(${i}, ${s}, ${a});\n const ivec3 pads = ivec3(${e}, ${n}, ${r});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int d2 = coords.u;\n\n ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n int xFCorner = xFRCCorner.x;\n int xRCorner = xFRCCorner.y;\n int xCCorner = xFRCCorner.z;\n\n // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n // y(yF, yR, yC, d2). ? = to be determined. : = across all\n // values in that axis.\n float dotProd = 0.0;\n for (int wF = 0; wF < ${l}; wF++) {\n int xF = xFCorner + wF * ${o};\n\n if (xF < 0 || xF >= ${t.inDepth}) {\n continue;\n }\n\n for (int wR = 0; wR < ${h}; wR++) {\n int xR = xRCorner + wR * ${u};\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${d}; wC++) {\n int xC = xCCorner + wC * ${c};\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n for (int d1 = 0; d1 < ${p}; d1 += 4) {\n vec4 xValues = vec4(\n getX(batch, xF, xR, xC, d1),\n getX(batch, xF, xR, xC, d1 + 1),\n getX(batch, xF, xR, xC, d1 + 2),\n getX(batch, xF, xR, xC, d1 + 3)\n );\n vec4 wValues = vec4(\n getW(wF, wR, wC, d1, d2),\n getW(wF, wR, wC, d1 + 1, d2),\n getW(wF, wR, wC, d1 + 2, d2),\n getW(wF, wR, wC, d1 + 3, d2)\n );\n\n dotProd += dot(xValues, wValues);\n }\n\n if (${1===f}) {\n dotProd +=\n getX(batch, xF, xR, xC, ${p}) *\n getW(wF, wR, wC, ${p}, d2);\n } else if (${2===f}) {\n vec2 xValues = vec2(\n getX(batch, xF, xR, xC, ${p}),\n getX(batch, xF, xR, xC, ${p} + 1)\n );\n vec2 wValues = vec2(\n getW(wF, wR, wC, ${p}, d2),\n getW(wF, wR, wC, ${p} + 1, d2)\n );\n dotProd += dot(xValues, wValues);\n } else if (${3===f}) {\n vec3 xValues = vec3(\n getX(batch, xF, xR, xC, ${p}),\n getX(batch, xF, xR, xC, ${p} + 1),\n getX(batch, xF, xR, xC, ${p} + 2)\n );\n vec3 wValues = vec3(\n getW(wF, wR, wC, ${p}, d2),\n getW(wF, wR, wC, ${p} + 1, d2),\n getW(wF, wR, wC, ${p} + 2, d2)\n );\n dotProd += dot(xValues, wValues);\n }\n }\n }\n }\n setOutput(dotProd);\n }\n `}} /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class me{constructor(t,e=!1,n=null,r=!1){this.variableNames=["x","W"],this.outputShape=t.outShape;const i=t.inHeight,s=t.inWidth,a=t.padInfo.top,o=t.padInfo.left,u=t.strideHeight,c=t.strideWidth,l=t.dilationHeight,h=t.dilationWidth,d=t.filterHeight,p=t.filterWidth,f=t.outChannels/t.inChannels;let m="",g="";n&&(m=r?`float activation(float a) {\n float b = getPreluActivationWeightsAtOutCoords();\n ${n}\n }`:`\n float activation(float x) {\n ${n}\n }\n `,g="result = activation(result);");const b=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode=`\n ${m}\n\n const ivec2 strides = ivec2(${u}, ${c});\n const ivec2 pads = ivec2(${a}, ${o});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords.x;\n ivec2 xRCCorner = coords.yz * strides - pads;\n int d2 = coords.w;\n int d1 = d2 / ${f};\n int q = d2 - d1 * ${f};\n\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n for (int wR = 0; wR < ${d}; wR++) {\n int xR = xRCorner + wR * ${l};\n\n if (xR < 0 || xR >= ${i}) {\n continue;\n }\n\n for (int wC = 0; wC < ${p}; wC++) {\n int xC = xCCorner + wC * ${h};\n\n if (xC < 0 || xC >= ${s}) {\n continue;\n }\n\n float xVal = getX(batch, xR, xC, d1);\n float wVal = getW(wR, wC, d1, q);\n dotProd += xVal * wVal;\n }\n }\n\n float result = dotProd;\n ${b}\n ${g}\n setOutput(result);\n }\n `}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class ge{constructor(t,e=!1,n=null,r=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.outShape;const i=t.inHeight,a=t.inWidth,o=t.padInfo.top,u=t.padInfo.left,c=t.strideHeight,l=t.strideWidth,h=t.dilationHeight,d=t.dilationWidth,p=t.filterHeight,f=t.filterWidth,m=f;let g="int xR; int xC; int xCOffset;";for(let t=0;t= 0 && xR < ${i} && xCOffset >= 0 && xCOffset < ${a}) {\n xTexelR${t}C${n} = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if(xCOffset + 1 >= ${a}) {\n xTexelR${t}C${n}.zw = vec2(0.);\n }\n } else {\n xTexelR${t}C${n} = vec4(0.);\n }\n\n xCOffset = xC + 1 - 2;\n if(xR >= 0 && xR < ${i} && xCOffset >= 0 && xCOffset < ${a}) {\n vec4 previous = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if(xCOffset + 1 >= ${a}) {\n previous.zw = vec2(0.);\n }\n\n xR${t}C${n} = vec4(previous.zw, xTexelR${t}C${n}.xy);\n } else {\n xR${t}C${n} = vec4(0, 0, xTexelR${t}C${n}.xy);\n }\n `:`\n if(xR >= 0 && xR < ${i} && xC >= 0 && xC < ${a}) {\n xTexelR${t}C${n} = getX(batch, xR, xC, d1);\n } else {\n xTexelR${t}C${n} = vec4(0.);\n }\n\n xR${t}C${n} = xTexelR${t}C${n};\n `,n+1= 0 && xR < ${i} &&\n xCOffset >= 0 && xCOffset < ${a}) {\n xTexelR${t}C${n+2} = getX(batch, xR, xCOffset, d1);\n }\n `,d>1&&(g+=`\n xCOffset -= 2;\n if(xR >= 0 && xR < ${i} &&\n xCOffset >= 0 && xCOffset < ${a}) {\n xTexelR${t}C${n} = getX(batch, xR, xCOffset, d1);\n } else {\n xTexelR${t}C${n} = vec4(0.);\n }\n `),g+=`\n xR${t}C${n+1} = vec4(\n xTexelR${t}C${n}.zw, xTexelR${t}C${n+2}.xy);\n `):g+=`\n xCOffset = xC + ${e};\n\n if(xR >= 0 && xR < ${i} &&\n xCOffset >= 0 && xCOffset < ${a}) {\n xTexelR${t}C${n+2} = getX(batch, xR, xCOffset, d1);\n }\n\n xR${t}C${n+1} = xTexelR${t}C${n+2};\n `}}else n= 0 && xR < ${i}) {\n `,u%2==1?(g+=`\n xCOffset = xC + 1 - ${l};\n if(xCOffset >= 0 && xCOffset < ${a}) {\n xTexelR${t}C${n} = getX(batch, xR, xCOffset, d1);\n } else {\n xTexelR${t}C${n} = vec4(0.);\n }\n\n if(xC + 1 >= 0 && xC + 1 < ${a}) {\n xTexelR${t}C${n+2} = getX(batch, xR, xC + 1, d1);\n } else {\n xTexelR${t}C${n+2} = vec4(0.);\n }\n\n xR${t}C${n} = vec4(\n xTexelR${t}C${n}.zw, xTexelR${t}C${n+2}.zw);\n `,n+1= 0 && xCOffset < ${a}) {\n final = getX(batch, xR, xCOffset, d1);\n }\n xR${t}C${n+1} = vec4(xTexelR${t}C${n+2}.xy, final.xy);\n `)):(g+=`\n if(xC >= 0 && xC < ${a}) {\n xTexelR${t}C${n} = getX(batch, xR, xC, d1);\n } else {\n xTexelR${t}C${n} = vec4(0.);\n }\n\n xCOffset = xC + ${l};\n if(xCOffset >= 0 && xCOffset < ${a}) {\n xTexelR${t}C${n+2} = getX(batch, xR, xCOffset, d1);\n } else {\n xTexelR${t}C${n+2} = vec4(0.);\n }\n\n xR${t}C${n} = vec4(\n xTexelR${t}C${n}.xy, xTexelR${t}C${n+2}.xy);\n `,n+11?[""+(a-1)/(l-1),"(y2-y1) * height_ratio",`y1*${p} + float(y)*(height_scale)`]:["0.0","0.0","0.5 * (y1+y2) * "+p],[y,v,w]=h>1?[""+(o-1)/(h-1),"(x2-x1) * width_ratio",`x1*${f} + float(x)*(width_scale)`]:["0.0","0.0","0.5 * (x1+x2) * "+f];this.userCode=`\n const float height_ratio = float(${m});\n const float width_ratio = float(${y});\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int y = coords[1];\n int x = coords[2];\n int d = coords[3];\n\n // get box vals\n float y1 = getBoxes(b,0);\n float x1 = getBoxes(b,1);\n float y2 = getBoxes(b,2);\n float x2 = getBoxes(b,3);\n\n // get image in batch index\n int bInd = round(getBoxInd(b));\n if(bInd < 0 || bInd >= ${s}) {\n return;\n }\n\n float height_scale = ${g};\n float width_scale = ${v};\n\n float in_y = ${b};\n if( in_y < 0.0 || in_y > ${p} ) {\n setOutput(float(${i}));\n return;\n }\n float in_x = ${w};\n if( in_x < 0.0 || in_x > ${f} ) {\n setOutput(float(${i}));\n return;\n }\n\n vec2 sourceFracIndexCR = vec2(in_x,in_y);\n if(${d} == 1) {\n // Compute the four integer indices.\n ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n float top = topLeft + (topRight - topLeft) * fracCR.x;\n float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n float newValue = top + (bottom - top) * fracCR.y;\n setOutput(newValue);\n } else {\n // Compute the coordinators of nearest neighbor point.\n ivec2 sourceNearestCR = ivec2(floor(\n sourceFracIndexCR + vec2(0.5,0.5)));\n float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n setOutput(newValue);\n }\n }\n `}}class ye{constructor(t,e,n){this.variableNames=["x"],this.outputShape=t;const r=t.length,i=e?"0.0":`getX(${ve(r,"coords")})`,s=t[t.length-1];let a="",o="";e?(a=n?"end != "+(s-1):"end != 0",o=n?"end + 1":"end - 1"):(a=n?"end + pow2 < "+s:"end >= pow2",o=n?"end + pow2":"end - pow2"),this.userCode=`\n uniform float index;\n void main() {\n ${Kt(r)} coords = getOutputCoords();\n int end = ${we(r,"coords")};\n float val = ${i};\n int pow2 = int(pow(2.0, index));\n if (${a}) {\n int idx = ${o};\n ${we(r,"coords")} = idx;\n val += getX(${ve(r,"coords")});\n }\n setOutput(val);\n }\n `}getCustomSetupFunc(t){return(e,n)=>{null==this.index&&(this.index=e.getUniformLocation(n,"index")),e.gl.uniform1f(this.index,t)}}}function ve(t,e){if(1===t)return""+e;if(2===t)return`${e}.x, ${e}.y`;if(3===t)return`${e}.x, ${e}.y, ${e}.z`;if(4===t)return`${e}.x, ${e}.y, ${e}.z, ${e}.w`;throw Error(`Cumulative sum for rank ${t} is not yet supported`)}function we(t,e){if(1===t)return""+e;if(2===t)return e+".y";if(3===t)return e+".z";if(4===t)return e+".w";throw Error(`Cumulative sum for rank ${t} is not yet supported`)} /** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class xe{constructor(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=l.DENSE;const e=f(t),n=Mt();this.outputShape=t,this.userCode=`\n ivec3 outCoordsFromFlatIndex(int index) {\n ${Dt(["r","c","d"],t)}\n return ivec3(r, c, d);\n }\n\n void main() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${e[0]}, ${e[1]}));\n int index = 4 * (resTexRC.x * ${e[1]} + resTexRC.y);\n\n vec4 result = vec4(0.);\n\n for (int i=0; i<4; i++) {\n int flatIndex = index + i;\n ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n result[i] = getA(rc.x, rc.y, rc.z);\n }\n\n ${n.output} = result;\n }\n `}} /** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class _e{constructor(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=l.DENSE;const e=f(t),n=Mt();this.outputShape=t,this.userCode=`\n ivec3 outCoordsFromFlatIndex(int index) {\n ${Dt(["r","c","d"],t)}\n return ivec3(r, c, d);\n }\n\n void main() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${e[0]}, ${e[1]}));\n int index = 4 * (resTexRC.x * ${e[1]} + resTexRC.y);\n\n vec4 result = vec4(0.);\n\n for (int i=0; i<4; i++) {\n int flatIndex = index + i;\n ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));\n }\n\n ${n.output} = result;\n }\n `}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class Oe{constructor(t,e,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=t,this.blockSize=e,this.dataFormat=n,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int h = ${this.getHeightCoordString()};\n int w = ${this.getWidthCoordString()};\n int d = ${this.getDepthCoordString()};\n\n int in_h = h / ${e};\n int offset_h = imod(h, ${e});\n int in_w = w / ${e};\n int offset_w = imod(w, ${e});\n int offset_d = (offset_h * ${e} + offset_w) *\n ${this.getOutputDepthSize()};\n int in_d = d + offset_d;\n\n float result = ${this.getInputSamplingString()};\n setOutput(result);\n }\n `}getHeightCoordString(){return"NHWC"===this.dataFormat?"coords[1]":"coords[2]"}getWidthCoordString(){return"NHWC"===this.dataFormat?"coords[2]":"coords[3]"}getDepthCoordString(){return"NHWC"===this.dataFormat?"coords[3]":"coords[1]"}getOutputDepthSize(){return"NHWC"===this.dataFormat?this.outputShape[3]:this.outputShape[1]}getInputSamplingString(){return"NHWC"===this.dataFormat?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}} /** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class Se{constructor(t){this.variableNames=["X"],this.outputShape=[t,t],this.userCode="\n void main() {\n ivec2 coords = getOutputCoords();\n float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;\n setOutput(val);\n }\n "}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class ke{constructor(t){this.variableNames=["A"],this.outTexUsage=h.DOWNLOAD;const e=Mt();this.outputShape=t,this.userCode=`\n ${Pt}\n\n void main() {\n float x = getAAtOutCoords();\n ${e.output} = encode_float(x);\n }\n `}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class Te{constructor(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=h.DOWNLOAD;const e=Mt();this.outputShape=t,this.userCode=`\n ${Pt}\n\n void main() {\n ivec3 coords = getOutputCoords();\n float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));\n ${e.output} = encode_float(x);\n }\n `}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class Ce{constructor(t,e,n=!1){this.variableNames=["A"];const r=Mt(),[i,s]=e;this.outputShape=t;let a="result";n&&(a="floor(result * 255. + 0.5)"),this.userCode=`\n ${Rt(t)}\n\n void main() {\n ivec3 coords = getOutputCoords();\n\n int flatIndex = getFlatIndex(coords);\n int offset = imod(flatIndex, 4);\n\n flatIndex = idiv(flatIndex, 4, 1.);\n\n int r = flatIndex / ${s};\n int c = imod(flatIndex, ${s});\n vec2 uv = (vec2(c, r) + halfCR) / vec2(${s}.0, ${i}.0);\n vec4 values = ${r.texture2D}(A, uv);\n\n float result;\n\n if(offset == 0) {\n result = values[0];\n } else if(offset == 1) {\n result = values[1];\n } else if(offset == 2) {\n result = values[2];\n } else {\n result = values[3];\n }\n\n ${r.output} = vec4(${a}, 0., 0., 0.);\n }\n `}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class Ae{constructor(t,e,n=!1){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;const r=Mt(),[i,s]=e;this.outputShape=t;let a="",o="result";n&&(o="floor(result * 255. + 0.5)");for(let e=0;e<=1;e++)for(let n=0;n<=1;n++){const o=2*e+n;a+=`\n localCoords = coords;\n if(localCoords[2] + ${n} < ${t[2]}) {\n localCoords[2] += ${n};\n if(localCoords[1] + ${e} < ${t[1]}) {\n localCoords[1] += ${e};\n\n flatIndex = getFlatIndex(localCoords);\n offset = imod(flatIndex, 4);\n\n flatIndex = idiv(flatIndex, 4, 1.);\n\n r = flatIndex / ${s};\n c = imod(flatIndex, ${s});\n uv = (vec2(c, r) + halfCR) / vec2(${s}.0, ${i}.0);\n values = ${r.texture2D}(A, uv);\n\n if(offset == 0) {\n result[${o}] = values[0];\n } else if(offset == 1) {\n result[${o}] = values[1];\n } else if(offset == 2) {\n result[${o}] = values[2];\n } else {\n result[${o}] = values[3];\n }\n }\n }\n `}this.userCode=`\n ${Rt(t)}\n\n void main() {\n ivec3 coords = getOutputCoords();\n\n vec4 result = vec4(0.);\n int flatIndex, r, c, offset;\n ivec3 localCoords;\n vec2 uv;\n vec4 values;\n\n ${a}\n\n ${r.output} = ${o};\n }\n `}} /** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class Ne{constructor(t,e){this.outputShape=[],this.variableNames=["x"],this.outputShape=t,this.userCode="\n uniform float value;\n void main() {\n // Input can be obtained from uniform value.\n setOutput(value);\n }\n "}getCustomSetupFunc(t){return(e,n)=>{null==this.valueLoc&&(this.valueLoc=e.getUniformLocationNoThrow(n,"value")),e.gl.uniform1f(this.valueLoc,t)}}} /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class Ie{constructor(t,e,n){this.variableNames=["A","indices"];const r=t.slice();r[n]=e,this.outputShape=r,this.rank=r.length;const i=Kt(this.rank),s=function(t,e){const n=t.length;if(n>4)throw Error(`Gather for rank ${n} is not yet supported`);if(1===n)return"int(getIndices(resRC))";const r=["resRC.x","resRC.y","resRC.z","resRC.w"],i=[];for(let n=0;n1?"strides[j]":"strides";this.userCode=`\n ${r} strides = ${r}(${this.strides});\n void main() {\n ${i} coords = getOutputCoords();\n int flattenIndex = 0;\n for (int j = 0; j < ${this.sliceDim}; j++) {\n int index = round(getIndices(coords[0], j));\n flattenIndex += index * ${s};\n }\n setOutput(getX(flattenIndex, coords[1]));\n }\n `}} /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function je(t){const e=Mt();return x(t,`${e.version}\n precision highp float;\n ${e.attribute} vec3 clipSpacePos;\n ${e.attribute} vec2 uv;\n ${e.varyingVs} vec2 resultUV;\n\n void main() {\n gl_Position = vec4(clipSpacePos, 1);\n resultUV = uv;\n }`)}function Me(t){return C(t,new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]))}function De(t){return A(t,new Uint16Array([0,1,2,2,1,3]))}function Re(t,e,n,r,i,s){E(e,n);const a=I(t),o=t.TEXTURE_2D;return b(t,()=>t.bindTexture(o,a)),b(t,()=>t.texParameteri(o,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE)),b(t,()=>t.texParameteri(o,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE)),b(t,()=>t.texParameteri(o,t.TEXTURE_MIN_FILTER,t.NEAREST)),b(t,()=>t.texParameteri(o,t.TEXTURE_MAG_FILTER,t.NEAREST)),b(t,()=>t.texImage2D(o,0,r,e,n,0,i,s,null)),b(t,()=>t.bindTexture(t.TEXTURE_2D,null)),a}function Pe(t){return t.internalFormatFloat}function Fe(t,e,n,r){const[i,s]=p(e,n);return Re(t,i,s,Pe(r),r.textureFormatFloat,t.FLOAT)}function ze(t){return t.internalFormatHalfFloat}function Le(t,e,n,r){const[i,s]=p(e,n);return Re(t,i,s,ze(r),r.textureFormatFloat,r.textureTypeHalfFloat)}function $e(t){return t.downloadTextureFormat}function Be(t,e,n,r){const[i,s]=p(e,n);return Re(t,i,s,$e(r),t.RGBA,t.UNSIGNED_BYTE)}function qe(t){return t.internalFormatPackedFloat}function Ve(t,e,n,r){const[i,s]=m(e,n);return Re(t,i,s,qe(r),t.RGBA,t.FLOAT)}function Ue(t){return t.internalFormatPackedHalfFloat}function We(t,e,n,r){const[i,s]=m(e,n);return Re(t,i,s,Ue(r),t.RGBA,r.textureTypeHalfFloat)}function Ge(t,e,n){b(t,()=>t.bindBuffer(t.ARRAY_BUFFER,n));return M(t,e,"clipSpacePos",n,3,20,0)&&M(t,e,"uv",n,2,20,12)}function He(t,e,n,r,i,s){let a,o,u;b(t,()=>t.bindTexture(t.TEXTURE_2D,e)),i instanceof Uint8Array?(a=new Uint8Array(n*r*4),o=t.UNSIGNED_BYTE,u=t.RGBA):(a=new Float32Array(n*r*4),o=t.FLOAT,u=s.internalFormatPackedFloat),a.set(i),b(t,()=>t.texImage2D(t.TEXTURE_2D,0,u,n,r,0,t.RGBA,o,a)),b(t,()=>t.bindTexture(t.TEXTURE_2D,null))}function Ke(t,e,n){b(t,()=>t.bindTexture(t.TEXTURE_2D,e)),n.data instanceof Uint8Array?b(t,()=>t.texImage2D(t.TEXTURE_2D,0,t.RGBA,n.width,n.height,0,t.RGBA,t.UNSIGNED_BYTE,n.data)):b(t,()=>t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,n)),b(t,()=>t.bindTexture(t.TEXTURE_2D,null))}function Qe(t,e,n,r){const i=t.createBuffer();b(t,()=>t.bindBuffer(t.PIXEL_PACK_BUFFER,i));const s=16*e*n;return b(t,()=>t.bufferData(t.PIXEL_PACK_BUFFER,s,t.STREAM_READ)),b(t,()=>t.readPixels(0,0,n,e,t.RGBA,t.FLOAT,0)),b(t,()=>t.bindBuffer(t.PIXEL_PACK_BUFFER,null)),i}function Xe(t,e,n){const r=t,i=new Float32Array(n);return r.bindBuffer(r.PIXEL_PACK_BUFFER,e),r.getBufferSubData(r.PIXEL_PACK_BUFFER,0,i),r.bindBuffer(r.PIXEL_PACK_BUFFER,null),i}function Ye(t,e,n,r){const[i,s]=p(e,n),a=new Uint8Array(e*n*4);return b(t,()=>t.readPixels(0,0,i,s,r.downloadTextureFormat,t.UNSIGNED_BYTE,a)),new Float32Array(a.buffer)}function Je(t,e,n,r,i,s,a,o){const u=t,c=new Float32Array(function(t,e){const[n,r]=m(t,e);return n*r*4}(s,a));return u.bindBuffer(u.PIXEL_PACK_BUFFER,e),u.getBufferSubData(u.PIXEL_PACK_BUFFER,0,c),u.bindBuffer(u.PIXEL_PACK_BUFFER,null),c}function Ze(t,e,n){const r=new Float32Array(e*n*4);return b(t,()=>t.readPixels(0,0,n,e,t.RGBA,t.FLOAT,r)),r} /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class tn{constructor(t){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];const e=Object(s.env)().getNumber("WEBGL_VERSION");null!=t?(this.gl=t,u(e,t)):this.gl=c(e);let n="WEBGL_color_buffer_float";if(1===Object(s.env)().getNumber("WEBGL_VERSION")){const t="OES_texture_float",e="OES_texture_half_float";if(this.textureFloatExtension=w(this.gl,t),st(this.gl,e))this.textureHalfFloatExtension=w(this.gl,e);else if(Object(s.env)().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(n),st(this.gl,"EXT_color_buffer_half_float"))this.colorBufferHalfFloatExtension=w(this.gl,"EXT_color_buffer_half_float");else if(Object(s.env)().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(n="EXT_color_buffer_float",st(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else{if(!st(this.gl,"EXT_color_buffer_half_float"))throw new Error("GL context does not support color renderable floats");this.colorBufferHalfFloatExtension=this.gl.getExtension("EXT_color_buffer_half_float")}this.vertexBuffer=Me(this.gl),this.indexBuffer=De(this.gl),this.framebuffer=j(this.gl),this.textureConfig=g(this.gl,this.textureHalfFloatExtension)}get debug(){return Object(s.env)().getBool("DEBUG")}dispose(){if(this.disposed)return;null!=this.program&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),null!=this.outputTexture&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture. This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");const t=this.gl;b(t,()=>t.finish()),b(t,()=>t.bindFramebuffer(t.FRAMEBUFFER,null)),b(t,()=>t.deleteFramebuffer(this.framebuffer)),b(t,()=>t.bindBuffer(t.ARRAY_BUFFER,null)),b(t,()=>t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null)),b(t,()=>t.deleteBuffer(this.indexBuffer)),this.disposed=!0}createFloat32MatrixTexture(t,e){return this.throwIfDisposed(),Fe(this.gl,t,e,this.textureConfig)}createFloat16MatrixTexture(t,e){return this.throwIfDisposed(),Le(this.gl,t,e,this.textureConfig)}createUnsignedBytesMatrixTexture(t,e){return this.throwIfDisposed(),Be(this.gl,t,e,this.textureConfig)}uploadPixelDataToTexture(t,e){this.throwIfDisposed(),Ke(this.gl,t,e)}uploadDenseMatrixToTexture(t,e,n,r){this.throwIfDisposed(),He(this.gl,t,e,n,r,this.textureConfig)}createFloat16PackedMatrixTexture(t,e){return this.throwIfDisposed(),We(this.gl,t,e,this.textureConfig)}createPackedMatrixTexture(t,e){return this.throwIfDisposed(),Ve(this.gl,t,e,this.textureConfig)}deleteMatrixTexture(t){this.throwIfDisposed(),this.outputTexture===t&&(B(this.gl,this.framebuffer),this.outputTexture=null),b(this.gl,()=>this.gl.deleteTexture(t))}downloadByteEncodedFloatMatrixFromOutputTexture(t,e,n){return this.downloadMatrixDriver(t,()=>Ye(this.gl,e,n,this.textureConfig))}downloadPackedMatrixFromBuffer(t,e,n,r,i,s){return Je(this.gl,t,0,0,0,i,s,this.textureConfig)}downloadFloat32MatrixFromBuffer(t,e){return Xe(this.gl,t,e)}createBufferFromTexture(t,e,n){this.bindTextureToFrameBuffer(t);const r=Qe(this.gl,e,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),r}createAndWaitForFence(){const t=this.createFence(this.gl);return this.pollFence(t)}createFence(t){let e,n;if(Object(s.env)().getBool("WEBGL_FENCE_API_ENABLED")){const r=t,i=r.fenceSync(r.SYNC_GPU_COMMANDS_COMPLETE,0);t.flush(),n=()=>{const t=r.clientWaitSync(i,0,0);return t===r.ALREADY_SIGNALED||t===r.CONDITION_SATISFIED},e=i}else Object(s.env)().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(e=this.beginQuery(),this.endQuery(),n=()=>this.isQueryAvailable(e,Object(s.env)().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))):n=()=>!0;return{query:e,isFencePassed:n}}downloadMatrixFromPackedTexture(t,e,n){return this.downloadMatrixDriver(t,()=>Ze(this.gl,e,n))}createProgram(t){this.throwIfDisposed();const e=this.gl,n=_(e,t),r=je(e),i=S(e);return b(e,()=>e.attachShader(i,r)),b(e,()=>e.attachShader(i,n)),k(e,i),this.debug&&T(e,i),this.vertexAttrsAreBound||(this.setProgram(i),this.vertexAttrsAreBound=Ge(e,this.program,this.vertexBuffer)),i}deleteProgram(t){this.throwIfDisposed(),t===this.program&&(this.program=null),null!=t&&b(this.gl,()=>this.gl.deleteProgram(t))}setProgram(t){this.throwIfDisposed(),this.program=t,null!=this.program&&this.debug&&T(this.gl,this.program),b(this.gl,()=>this.gl.useProgram(t))}getUniformLocation(t,e,n=!0){return this.throwIfDisposed(),n?P(this.gl,t,e):F(this.gl,t,e)}getAttributeLocation(t,e){return this.throwIfDisposed(),b(this.gl,()=>this.gl.getAttribLocation(t,e))}getUniformLocationNoThrow(t,e){return this.throwIfDisposed(),this.gl.getUniformLocation(t,e)}setInputMatrixTexture(t,e,n){this.throwIfDisposed(),this.throwIfNoProgram(),z(this.gl,t,e,n)}setOutputMatrixTexture(t,e,n){this.setOutputMatrixTextureDriver(t,n,e)}setOutputPackedMatrixTexture(t,e,n){this.throwIfDisposed();const[r,i]=m(e,n);this.setOutputMatrixTextureDriver(t,r,i)}setOutputMatrixWriteRegion(t,e,n,r){this.setOutputMatrixWriteRegionDriver(n,t,r,e)}setOutputPackedMatrixWriteRegion(t,e,n,r){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")}debugValidate(){null!=this.program&&T(this.gl,this.program),q(this.gl)}executeProgram(){this.throwIfDisposed(),this.throwIfNoProgram();const t=this.gl;this.debug&&this.debugValidate(),b(t,()=>t.drawElements(t.TRIANGLES,6,t.UNSIGNED_SHORT,0))}blockUntilAllProgramsCompleted(){this.throwIfDisposed(),b(this.gl,()=>this.gl.finish())}getQueryTimerExtension(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=w(this.gl,2===Object(s.env)().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension}getQueryTimerExtensionWebGL2(){return this.getQueryTimerExtension()}getQueryTimerExtensionWebGL1(){return this.getQueryTimerExtension()}beginQuery(){if(2===Object(s.env)().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){const t=this.gl,e=this.getQueryTimerExtensionWebGL2(),n=t.createQuery();return t.beginQuery(e.TIME_ELAPSED_EXT,n),n}const t=this.getQueryTimerExtensionWebGL1(),e=t.createQueryEXT();return t.beginQueryEXT(t.TIME_ELAPSED_EXT,e),e}endQuery(){if(2===Object(s.env)().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){const t=this.gl,e=this.getQueryTimerExtensionWebGL2();return void t.endQuery(e.TIME_ELAPSED_EXT)}const t=this.getQueryTimerExtensionWebGL1();t.endQueryEXT(t.TIME_ELAPSED_EXT)}async waitForQueryAndGetTime(t){return await s.util.repeatedTry(()=>this.disposed||this.isQueryAvailable(t,Object(s.env)().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))),this.getQueryTime(t,Object(s.env)().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}getQueryTime(t,e){if(0===e)return null;if(2===e){const e=this.gl;return e.getQueryParameter(t,e.QUERY_RESULT)/1e6}{const e=this.getQueryTimerExtensionWebGL1();return e.getQueryObjectEXT(t,e.QUERY_RESULT_EXT)/1e6}}isQueryAvailable(t,e){if(0===e)return!0;if(2===e){const e=this.gl,n=this.getQueryTimerExtensionWebGL2(),r=e.getQueryParameter(t,e.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(n.GPU_DISJOINT_EXT)),r&&!this.disjoint}{const e=this.getQueryTimerExtensionWebGL1(),n=e.getQueryObjectEXT(t,e.QUERY_RESULT_AVAILABLE_EXT);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(e.GPU_DISJOINT_EXT)),n&&!this.disjoint}}pollFence(t){return new Promise(e=>{this.addItemToPoll(()=>t.isFencePassed(),()=>e())})}pollItems(){const t=function(t){let e=0;for(;et.isDoneFn));for(let e=0;e<=t;++e){const{resolveFn:t}=this.itemsToPoll[e];t()}this.itemsToPoll=this.itemsToPoll.slice(t+1)}addItemToPoll(t,e){this.itemsToPoll.push({isDoneFn:t,resolveFn:e}),this.itemsToPoll.length>1||s.util.repeatedTry(()=>(this.pollItems(),0===this.itemsToPoll.length))}bindTextureToFrameBuffer(t){this.throwIfDisposed(),$(this.gl,t,this.framebuffer),this.debug&&q(this.gl)}unbindTextureToFrameBuffer(){null!=this.outputTexture?($(this.gl,this.outputTexture,this.framebuffer),this.debug&&q(this.gl)):B(this.gl,this.framebuffer)}downloadMatrixDriver(t,e){this.bindTextureToFrameBuffer(t);const n=e();return this.unbindTextureToFrameBuffer(),n}setOutputMatrixTextureDriver(t,e,n){this.throwIfDisposed();const r=this.gl;$(r,t,this.framebuffer),this.debug&&q(r),this.outputTexture=t,b(r,()=>r.viewport(0,0,e,n)),b(r,()=>r.scissor(0,0,e,n))}setOutputMatrixWriteRegionDriver(t,e,n,r){this.throwIfDisposed(),b(this.gl,()=>this.gl.scissor(t,e,n,r))}throwIfDisposed(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")}throwIfNoProgram(){if(null==this.program)throw new Error("No GPU program is currently set.")}}function en(t,e){if(t.length!==e.length)throw Error(`Binary was compiled with ${t.length} inputs, but was executed with ${e.length} inputs`);t.forEach((t,n)=>{const r=t.logicalShape,i=e[n],a=i.shape;if(!s.util.arraysEqual(r,a))throw Error(`Binary was compiled with different shapes than the current args. Shapes ${r} and ${a} must match`);if(t.isUniform&&i.isUniform)return;const o=t.texShape,u=i.isUniform?null:i.texData.texShape;if(!s.util.arraysEqual(o,u))throw Error(`Binary was compiled with different texture shapes than the current args. Shape ${o} and ${u} must match`)})} /** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ class nn{constructor(t,e,n){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;const{filterWidth:r,inChannels:i,strideWidth:s,strideHeight:a,padInfo:o,outWidth:u,dilationWidth:c,dilationHeight:l,dataFormat:h}=n,{left:d,top:p}=o,f=i*r,m=Mt(),g="channelsLast"===h,b=g?0:1,y=g?1:2;let v="";for(let n=0;n<=1;n++)for(let r=0;r<=1;r++)v+=`\n blockIndex = rc.y + ${r};\n pos = rc.x + ${n};\n\n if(blockIndex < ${t[1]} && pos < ${t[0]}) {\n offsetY = int(blockIndex / (${u})) * ${a} - ${p};\n d0 = offsetY + ${l} * (pos / ${f});\n\n if(d0 < ${e[b]} && d0 >= 0) {\n\n offsetX = int(mod(float(blockIndex), ${u}.) * ${s}. - ${d}.);\n d1 = offsetX + ${c} * (int(mod(float(pos), ${f}.) / ${i}.));\n\n if(d1 < ${e[y]} && d1 >= 0) {\n\n ch = int(mod(float(pos), ${i}.));\n\n if (${g}) {\n innerDims = vec2(d1, ch);\n result[${2*n+r}] = getChannel(\n getA(d0, int(innerDims.x),\n int(innerDims.y)), innerDims);\n } else {\n innerDims = vec2(d0, d1);\n result[${2*n+r}] = getChannel(\n getA(ch, int(innerDims.x),\n int(innerDims.y)), innerDims);\n }\n }\n }\n }\n `;this.userCode=`\n void main() {\n ivec2 rc = getOutputCoords();\n\n vec4 result = vec4(0);\n\n int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n vec2 innerDims;\n\n ${v}\n\n ${m.output} = result;\n }\n `}} /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class rn{constructor(t,e,n,r,i){this.variableNames=["x"],this.outputShape=[];const s=e,a=t[3]-1;let o;this.outputShape=t;const u=`float(${n}) + float(${r}) * sum`;o=.5===i?`inversesqrt(${u})`:1===i?`1.0/(${u})`:`exp(log(${u}) * float(-${i}));`,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int r = coords[1];\n int c = coords[2];\n int d = coords[3];\n float x = getX(b, r, c, d);\n float sum = 0.0;\n for (int j = -${s}; j <= ${s}; j++) {\n int idx = d + j;\n if (idx >= 0 && idx <= ${a}) {\n float z = getX(b, r, c, idx);\n sum += z * z;\n }\n }\n float val = x * ${o};\n setOutput(val);\n }\n `}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class sn{constructor(t,e,n,r,i){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=t,this.depth=t[3],this.depthRadius=e,this.bias=n,this.alpha=r,this.beta=i,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int r = coords[1];\n int c = coords[2];\n\n float result = 0.0;\n for (int d = 0; d < ${this.depth}; ++d) {\n int depthBegin = int(max(0.0, float(d - ${e})));\n int depthEnd = int(min(float(${this.depth}),\n float(d + ${e} + 1)));\n\n const int MIN_DEPTH_BEGIN = 0;\n const int MAX_DEPTH_END = ${this.depth};\n\n float norm = 0.0;\n for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n if (k < depthBegin){\n continue;\n }\n else if (k >= depthBegin && k < depthEnd) {\n norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n }\n else {\n break;\n }\n }\n\n norm = float(${r}) * norm + float(${n});\n\n for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n if (k < depthBegin){\n continue;\n }\n else if (k >= depthBegin && k < depthEnd){\n float dyi = -2.0 * float(${r})\n * float(${i})\n * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n / norm;\n if (k == d) {\n dyi += pow(norm, -1.0 * ${i});\n }\n if (k == coords[3]) {\n dyi *= getDy(b, r, c, d);\n result += dyi;\n }\n }\n else {\n break;\n }\n }\n }\n setOutput(result);\n }\n `}} /** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class an{constructor(t,e,n,r,i){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;const s=e,a=t[3]-1;let o;this.outputShape=t;const u=`float(${n}) + float(${r}) * sum`;o=.5===i?`inversesqrt(${u})`:1===i?`1.0/(${u})`:`exp(log(${u}) * float(-${i}));`,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords.x;\n int r = coords.y;\n int c = coords.z;\n int d = coords.w;\n\n bool hasNextCol = d < ${this.outputShape[3]};\n bool hasNextRow = c < ${this.outputShape[2]};\n\n vec4 sum = vec4(0.);\n vec4 xFragAtOutputCoords = getX(b, r, c, d);\n\n vec4 xAtOutputCoords = vec4(\n getChannel(xFragAtOutputCoords, vec2(c, d)),\n hasNextCol ?\n getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,\n hasNextRow ?\n getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,\n (hasNextRow && hasNextCol) ?\n getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0\n );\n\n int firstChannel = d - ${s};\n vec2 cache = vec2(0.);\n if(firstChannel >= 0){\n vec4 firstChannelFrag = getX(b, r, c, firstChannel);\n cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));\n if(hasNextRow){\n cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));\n }\n }\n\n ivec2 depth = ivec2(d, d + 1);\n for (int j = - ${s}; j <= ${s}; j++) {\n ivec2 idx = depth + j;\n bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n bvec2 belowUpperBound = lessThanEqual(idx, ivec2(${a}));\n\n bool depthInRange = aboveLowerBound.x && belowUpperBound.x;\n bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;\n\n if(depthInRange || depthPlusOneInRange){\n vec4 z = vec4(0.);\n vec4 xFragAtCurrentDepth;\n z.xz = cache.xy;\n if(depthPlusOneInRange && hasNextCol){\n xFragAtCurrentDepth = idx.y != d ?\n getX(b, r, c, idx.y) : xFragAtOutputCoords;\n z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));\n if(hasNextRow){\n z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));\n }\n }\n cache.xy = z.yw;\n sum += z * z;\n }\n }\n vec4 result = xAtOutputCoords * ${o};\n setOutput(result);\n }\n `}} /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class on{constructor(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;const e=t.strideHeight,n=t.strideWidth,r=t.dilationHeight,i=t.effectiveFilterHeight,s=t.effectiveFilterWidth,a=i-1-t.padInfo.top,o=s-1-t.padInfo.left,u=i*s-1;this.userCode=`\n const ivec2 pads = ivec2(${a}, ${o});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n\n ivec2 dyRCCorner = coords.yz - pads;\n int dyRCorner = dyRCCorner.x;\n int dyCCorner = dyRCCorner.y;\n\n // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${i};\n wR += ${r}) {\n float dyR = float(dyRCorner + wR) / ${e}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${s}; wC++) {\n float dyC = float(dyCCorner + wC) / ${n}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(b, idyR, idyC, d);\n int maxPosValue = ${u} - int(getMaxPos(b, idyR, idyC, d));\n\n // Get the current value, check it against the value from the\n // position matrix.\n int curPosValue = wR * ${s} + wC;\n float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n dotProd += dyValue * mask;\n }\n }\n setOutput(dotProd);\n }\n `}}class un{constructor(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;const e=t.strideDepth,n=t.strideHeight,r=t.strideWidth,i=t.dilationDepth,s=t.dilationHeight,a=t.dilationWidth,o=t.effectiveFilterDepth,u=t.effectiveFilterHeight,c=t.effectiveFilterWidth,l=o-1-t.padInfo.front,h=u-1-t.padInfo.top,d=c-1-t.padInfo.left,p=o*u*c-1;this.userCode=`\n const ivec3 pads = ivec3(${l}, ${h}, ${d});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n int dyDCorner = dyCorner.x;\n int dyRCorner = dyCorner.y;\n int dyCCorner = dyCorner.z;\n\n // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n // dx(xD, xR, xC, ch).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n\n for (int wD = 0; wD < ${o};\n wD += ${i}) {\n float dyD = float(dyDCorner + wD) / ${e}.0;\n\n if (dyD < 0.0 || dyD >= ${t.outDepth}.0 || fract(dyD) > 0.0) {\n continue;\n }\n int idyD = int(dyD);\n\n for (int wR = 0; wR < ${u};\n wR += ${s}) {\n float dyR = float(dyRCorner + wR) / ${n}.0;\n\n if (dyR < 0.0 || dyR >= ${t.outHeight}.0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${c};\n wC += ${a}) {\n float dyC = float(dyCCorner + wC) / ${r}.0;\n\n if (dyC < 0.0 || dyC >= ${t.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n int maxPosValue = ${p} -\n int(getMaxPos(batch, idyD, idyR, idyC, ch));\n\n // Get the current value, check it against the value from the\n // position matrix.\n int curPosValue =\n wD * ${u} * ${c} +\n wR * ${c} + wC;\n float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n dotProd += dyValue * mask;\n }\n }\n }\n setOutput(dotProd);\n }\n `}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class cn{constructor(t,e,n,r=!1,i=!1,s=!1,a=null,o=!1){this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n;const u=r?t[1]:t[2],c=Math.ceil(u/2),l=r?"i * 2, rc.y":"rc.y, i * 2",h=i?"rc.z, i * 2":"i * 2, rc.z",d=r?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],p=i?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"];let f="",m="";a&&(f=o?`vec4 activation(vec4 a) {\n vec4 b = getPreluActivationWeightsAtOutCoords();\n ${a}\n }`:`vec4 activation(vec4 x) {\n ${a}\n }`,m="result = activation(result);");const g=s?"result += getBiasAtOutCoords();":"";s&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights");let b="rc.x",y="rc.x";t[0]{null==this.seedLoc&&(this.seedLoc=e.getUniformLocation(n,"seed")),e.gl.uniform1f(this.seedLoc,t)}}} /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class hn{constructor(t,e,n,r){this.variableNames=["indices"],this.outputShape=[t,e],this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n int index = round(getIndices(coords.x));\n setOutput(mix(float(${r}), float(${n}),\n float(index == coords.y)));\n }\n `}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class dn{constructor(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=t;const e=t.length;if(0===e)this.userCode="\n void main() {\n setOutput(vec4(getA(), 0., 0., 0.));\n }\n ";else{const n=jt("rc",e),r=Kt(e),i=function(t,e,n){if(1===t)return"rc > "+e[0];let r="";for(let i=t-2;i= ${e[i]}`,i= ${e};\n bool rEdge = rp1 >= ${n};\n `}(e,t[t.length-1],t[t.length-2],n),a=function(t,e){const n=t.length,r=function(t,e){const n=[];for(let r=0;r<=1;r++)for(let i=0;i<=1;i++){let s=`${0===r?"r":"rp1"}, ${0===i?"c":"cp1"}`;for(let n=2;n= ${t[0]} ? 0. : getA(rc + 1),\n 0, 0`;return`getA(${r[0]}),\n cEdge ? 0. : getA(${r[1]}),\n rEdge ? 0. : getA(${r[2]}),\n rEdge || cEdge ? 0. : getA(${r[3]})`} /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */(t,n);this.userCode=`\n void main() {\n ${r} rc = getOutputCoords();\n\n if(${i}) {\n setOutput(vec4(0));\n } else {\n ${s}\n\n setOutput(vec4(${a}));\n }\n }\n `}}}class pn{constructor(t,e,n){this.variableNames=["x"],this.outputShape=e.map((e,n)=>e[0]+t[n]+e[1]);const r=t.length,i=Kt(r),s=e.map(t=>t[0]).join(","),a=e.map((e,n)=>e[0]+t[n]).join(","),o=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r);this.userCode=1!==r?`\n ${i} start = ${i}(${s});\n ${i} end = ${i}(${a});\n\n void main() {\n ${i} outC = getOutputCoords();\n if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n setOutput(float(${n}));\n } else {\n ${i} coords = outC - start;\n setOutput(getX(${o}));\n }\n }\n `:`\n int start = ${s};\n int end = ${a};\n\n void main() {\n int outC = getOutputCoords();\n if (outC < start || outC >= end) {\n setOutput(float(${n}));\n } else {\n setOutput(getX(outC - start));\n }\n }\n `}} /** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class fn{constructor(t,e,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.map((e,n)=>e[0]+t[n]+e[1]);const r=t.length,i=Kt(r),s=e.map(t=>t[0]).join(","),a=e.map((e,n)=>e[0]+t[n]).join(","),o=jt("rc",r),u=jt("source",r),c=`${o[r-1]} < ${this.outputShape[r-1]}`,l=1===r?"source":`vec2(${u.slice(-2).join()})`,h=[i+" rc = outputLoc;",`${o[r-1]} += 1;\n if(${c}) {\n `,1===r?"":`}\n rc = outputLoc;\n ${o[r-2]} += 1;\n if(${o[r-2]} < ${this.outputShape[r-2]}) {`,1===r?"":` ${o[r-1]} += 1;\n if(${c}) {`],d=1===r?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))";let p="";for(let t=0,e=1===r?2:4;t= ${t.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${h};\n wC += ${c}) {\n int xC = xCCorner + wC;\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n float value = getX(batch, xR, xC, d);\n\n // If a min / max value has already been found, use it. If not,\n // use the current value.\n float currMinMaxValue = mix(\n value, minMaxValue, minMaxValueFound);\n if (value ${e} currMinMaxValue) {\n minMaxValue = value;\n minMaxValueFound = 1.0;\n minMaxPosition = ${r?i?m:g:`wR * ${h} + wC`};\n }\n }\n }\n setOutput(float(minMaxPosition));\n }\n `)}let y=`${e}(${e}(${e}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;"avg"===e&&(y="avgValue / count");const v=4*Math.floor(s/4),w=s%4,x=`\n if (${f}) {\n avgValue += dot(values, ones);\n } else {\n minMaxValue = max(values, minMaxValue);\n }\n `;this.userCode=`\n const ivec2 strides = ivec2(${a}, ${o});\n const ivec2 pads = ivec2(${d}, ${p});\n const float initializationValue = ${b};\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float count = 0.0;\n\n float getValue(int batch, int xR, int xC, int d) {\n if (xC < 0 || xC >= ${t.inWidth}) {\n return initializationValue;\n }\n count += 1.0;\n return getX(batch, xR, xC, d);\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d = coords[3];\n\n ivec2 xRCCorner = coords.yz * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // max/min x(?, ?, d) to get y(yR, yC, d).\n // ? = to be determined\n vec4 minMaxValue = vec4(${b});\n float avgValue = 0.0;\n count = 0.0;\n\n for (int wR = 0; wR < ${l};\n wR += ${u}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${v}; wC += 4) {\n int xC = xCCorner + wC * ${c};\n\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ${c}, d),\n getValue(batch, xR, xC + 2 * ${c}, d),\n getValue(batch, xR, xC + 3 * ${c}, d)\n );\n\n ${x}\n }\n\n int xC = xCCorner + ${v};\n if (${1===w}) {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n ${x}\n } else if (${2===w}) {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ${c}, d),\n initializationValue,\n initializationValue\n );\n\n ${x}\n } else if (${3===w}) {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ${c}, d),\n getValue(batch, xR, xC + 2 * ${c}, d),\n initializationValue\n );\n\n ${x}\n }\n }\n setOutput(${y});\n }\n `}}class gn{constructor(t,e,n,r=!1,i=!1){if(this.variableNames=["x"],"avg"===e&&n)throw new Error("Cannot compute positions for average pool.");const s=t.filterWidth,a=t.strideDepth,o=t.strideHeight,u=t.strideWidth,c=t.dilationDepth,l=t.dilationHeight,h=t.dilationWidth,d=t.effectiveFilterDepth,p=t.effectiveFilterHeight,f=t.effectiveFilterWidth,m=t.padInfo.front,g=t.padInfo.top,b=t.padInfo.left;this.outputShape=t.outShape;const y="avg"===e;let v="0.0";if(y||(v="-1.0 / 1e-20"),n){const e=">=";return void(this.userCode=`\n const ivec3 strides =\n ivec3(${a}, ${o}, ${u});\n const ivec3 pads = ivec3(${m}, ${g}, ${b});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n int xDCorner = xCorner.x;\n int xRCorner = xCorner.y;\n int xCCorner = xCorner.z;\n\n // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).\n // ? = to be determined\n float minMaxValue = 0.0;\n float minMaxValueFound = 0.0;\n int minMaxPosition = 0;\n\n for (int wD = 0; wD < ${d};\n wD += ${c}) {\n int xD = xDCorner + wD;\n\n if (xD < 0 || xD >= ${t.inDepth}) {\n continue;\n }\n\n for (int wR = 0; wR < ${p};\n wR += ${l}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${f};\n wC += ${h}) {\n int xC = xCCorner + wC;\n\n if (xC < 0 || xC >= ${t.inWidth}) {\n continue;\n }\n\n float value = getX(batch, xD, xR, xC, ch);\n\n // If a min / max value has already been found, use it. If not,\n // use the current value.\n float currMinMaxValue = mix(\n value, minMaxValue, minMaxValueFound);\n if (value ${e} currMinMaxValue) {\n minMaxValue = value;\n minMaxValueFound = 1.0;\n minMaxPosition = ${r?i?`(((batch * ${t.inDepth} + xD) * ${t.inHeight} + xR) * ${t.inWidth} + xC) * ${t.inChannels} + ch`:`((xD * ${t.inHeight} + xR) * ${t.inWidth} + xC) * ${t.inChannels} + ch`:`wD * ${p} * ${f} +\n wR * ${f} + wC`};\n }\n }\n }\n }\n setOutput(float(minMaxPosition));\n }\n `)}let w=`${e}(${e}(${e}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;"avg"===e&&(w="avgValue / count");const x=4*Math.floor(s/4),_=s%4,O=`\n if (${y}) {\n avgValue += dot(values, ones);\n } else {\n minMaxValue = max(values, minMaxValue);\n }\n `;this.userCode=`\n const ivec3 strides =\n ivec3(${a}, ${o}, ${u});\n const ivec3 pads = ivec3(${m}, ${g}, ${b});\n const float initializationValue = ${v};\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float count = 0.0;\n\n float getValue(int batch, int xD, int xR, int xC, int ch) {\n if (xC < 0 || xC >= ${t.inWidth}) {\n return initializationValue;\n }\n count += 1.0;\n return getX(batch, xD, xR, xC, ch);\n }\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n int xDCorner = xCorner.x;\n int xRCorner = xCorner.y;\n int xCCorner = xCorner.z;\n\n // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n // ? = to be determined\n vec4 minMaxValue = vec4(${v});\n float avgValue = 0.0;\n count = 0.0;\n\n for (int wD = 0; wD < ${d};\n wD += ${c}) {\n int xD = xDCorner + wD;\n\n if (xD < 0 || xD >= ${t.inDepth}) {\n continue;\n }\n\n for (int wR = 0; wR < ${p};\n wR += ${l}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${t.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${x}; wC += 4) {\n int xC = xCCorner + wC * ${h};\n\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ${h}, ch),\n getValue(batch, xD, xR, xC + 2 * ${h}, ch),\n getValue(batch, xD, xR, xC + 3 * ${h}, ch)\n );\n\n ${O}\n }\n\n int xC = xCCorner + ${x};\n if (${1===_}) {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n ${O}\n } else if (${2===_}) {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ${h}, ch),\n initializationValue,\n initializationValue\n );\n\n ${O}\n } else if (${3===_}) {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ${h}, ch),\n getValue(batch, xD, xR, xC + 2 * ${h}, ch),\n initializationValue\n );\n\n ${O}\n }\n }\n setOutput(${w});\n }\n }\n `}} /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class bn{constructor(t,e){this.variableNames=["x"];const{windowSize:n,batchSize:r,inSize:i,outSize:s}=t;this.outputShape=[r,s];let a="0.0",o="";"prod"===e?a="1.0":"min"===e?(a="1.0 / 1e-20",o="min"):"max"===e&&(a="-1.0 / 1e-20",o="max");let u=`${e}(${e}(${e}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;"sum"===e?u="sumValue":"prod"===e?u="prodValue":"all"===e?u="allValue":"any"===e&&(u="anyValue");const c=4*Math.floor(n/4),l=n%4;let h=`\n if (${"sum"===e}) {\n sumValue += dot(values, ones);\n } else if (${"prod"===e}) {\n vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n prodValue *= tmp[0] * tmp[1];\n } else {\n minMaxValue = ${o}(values, minMaxValue);\n }\n `,d="vec4";"all"===e?(a="1.0",h="\n bool reducedAllValue = all(values);\n float floatedReducedAllValue = float(reducedAllValue);\n allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n ",d="bvec4"):"any"===e&&(a="0.0",h="\n bool reducedAnyValue = any(values);\n float floatedReducedAnyValue = float(reducedAnyValue);\n anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n ",d="bvec4");let p="";i%n>0&&(p=`\n if (inIdx < 0 || inIdx >= ${i}) {\n return initializationValue;\n }\n `),this.userCode=`\n const float initializationValue = ${a};\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float getValue(int batch, int inIdx) {\n ${p}\n return getX(batch, inIdx);\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = outIdx * ${n};\n\n vec4 minMaxValue = vec4(${a});\n float prodValue = 1.0;\n float sumValue = 0.0;\n float allValue = 1.0;\n float anyValue = 0.0;\n\n for (int i = 0; i < ${c}; i += 4) {\n int inIdx = inOffset + i;\n ${d} values = ${d}(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n getValue(batch, inIdx + 3)\n );\n\n ${h}\n }\n\n int inIdx = inOffset + ${c};\n if (${1===l}) {\n ${d} values = ${d}(\n getValue(batch, inIdx),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n ${h}\n } else if (${2===l}) {\n ${d} values = ${d}(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n initializationValue,\n initializationValue\n );\n\n ${h}\n } else if (${3===l}) {\n ${d} values = ${d}(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n initializationValue\n );\n\n ${h}\n }\n setOutput(${u});\n }\n `}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class yn{constructor(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;let n="";for(let t=0;t<4;t++){let e="thisRC = rc;";t%2==1&&(e+="thisRC.z += 1;"),t>1&&(e+="thisRC.y += 1;"),n+=`\n ${e}\n ${t>0?"if(thisRC.y < rows && thisRC.z < cols){":""}\n int flatIndex = getFlatIndex(thisRC);\n\n ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n result[${t}] =\n getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n ${t>0?"}":""}\n `}var r; /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */this.userCode=`\n ${r=e,`\n ivec3 inputCoordsFromReshapedOutCoords(int index) {\n ${Dt(["r","c","d"],r)}\n return ivec3(r, c, d);\n }\n `}\n ${Rt(t)}\n\n void main() {\n ivec3 rc = getOutputCoords();\n\n vec4 result = vec4(0.);\n\n ivec3 thisRC;\n int rows = ${t[1]};\n int cols = ${t[2]};\n\n ${n}\n\n setOutput(result);\n }\n `}}class vn{constructor(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;const[,r,i]=e.shape,[,s,a]=t.shape,o=[n&&s>1?r-1:r,n&&a>1?i-1:i],u=[n&&s>1?s-1:s,n&&a>1?a-1:a],c=o[0]/u[0],l=o[1]/u[1],h=1/c,d=1/l,p=2*Math.ceil(h)+2,f=2*Math.ceil(d)+2;this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n int r = coords[1];\n int c = coords[2];\n\n float accumulator = 0.0;\n\n const float heightScale = float(${c});\n const float widthScale = float(${l});\n\n const float invHeightScale = float(${h});\n const float invWidthScale = float(${d});\n\n const int winHeight = int(${p});\n const int winWidth = int(${f});\n\n // Compute bounds for where in dy we will look\n float startRLerp = floor(float(r) * invHeightScale);\n int startDyR = int(startRLerp - float(winHeight / 2));\n\n float startCLerp = floor(float(c) * invWidthScale);\n int startDyC = int(startCLerp - float(winWidth / 2));\n\n // Loop over dy\n for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n int dyR = dyROffset + startDyR;\n\n // Guard against the window exceeding the bounds of dy\n if (dyR < 0 || dyR >= ${s}) {\n continue;\n }\n\n for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n int dyC = dyCOffset + startDyC;\n\n // Guard against the window exceeding the bounds of dy\n if (dyC < 0 || dyC >= ${a}) {\n continue;\n }\n\n float dxR = float(dyR) * heightScale;\n int topDxRIndex = int(floor(dxR));\n int bottomDxRIndex = int(min(ceil(dxR), ${r-1}.0));\n float dxRLerp = dxR - float(topDxRIndex);\n float inverseDxRLerp = 1.0 - dxRLerp;\n\n float dxC = float(dyC) * widthScale;\n int leftDxCIndex = int(floor(dxC));\n int rightDxCIndex = int(min(ceil(dxC), ${i-1}.0));\n float dxCLerp = dxC - float(leftDxCIndex);\n float inverseDxCLerp = 1.0 - dxCLerp;\n\n if (r == topDxRIndex && c == leftDxCIndex) {\n // topLeft\n accumulator +=\n getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n }\n\n if (r == topDxRIndex && c == rightDxCIndex) {\n // topRight\n accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n }\n\n if (r == bottomDxRIndex && c == leftDxCIndex) {\n // bottomLeft\n accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n }\n\n if (r == bottomDxRIndex && c == rightDxCIndex) {\n // bottomRight\n accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n }\n }\n }\n // End loop over dy\n\n setOutput(accumulator);\n }\n `}} /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class wn{constructor(t,e,n,r){this.variableNames=["A"],this.outputShape=[];const[i,s,a,o]=t;this.outputShape=[i,e,n,o];const u=[r&&e>1?s-1:s,r&&n>1?a-1:a],c=[r&&e>1?e-1:e,r&&n>1?n-1:n];this.userCode=`\n const vec2 effectiveInputOverOutputRatioRC = vec2(\n ${u[0]/c[0]},\n ${u[1]/c[1]});\n const vec2 inputShapeRC = vec2(${s}.0, ${a}.0);\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n ivec2 yRC = coords.yz;\n\n // Fractional source index.\n vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n // Compute the four integer indices.\n ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\n ivec2 sourceCeilRC = ivec2(\n min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n float top = topLeft + (topRight - topLeft) * fracRC.y;\n float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n float newValue = top + (bottom - top) * fracRC.x;\n\n setOutput(newValue);\n }\n `}} /** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class xn{constructor(t,e,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];const[i,s,a,o]=t;this.outputShape=[i,e,n,o];const u=[r&&e>1?s-1:s,r&&n>1?a-1:a],c=[r&&e>1?e-1:e,r&&n>1?n-1:n];this.userCode=`\n const vec3 effectiveInputOverOutputRatioRC = vec3(\n ${u[0]/c[0]},\n ${u[1]/c[1]},\n ${u[1]/c[1]});\n const vec3 inputShapeRC = vec3(${s}.0, ${a}.0,\n ${a}.0);\n\n float getAValue(int b, int r, int c, int d) {\n return getChannel(getA(b, r, c, d), vec2(c, d));\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n // Calculate values for next column in yRC.z.\n ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n // Fractional source index.\n vec3 sourceFracIndexRC = vec3(yRC) * effectiveInputOverOutputRatioRC;\n\n // Compute the four integer indices.\n ivec3 sourceFloorRC = ivec3(sourceFracIndexRC);\n ivec3 sourceCeilRC = ivec3(\n min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n // Should we calculate next column and row elements in 2x2 packed cell.\n bool hasNextCol = d < ${o-1};\n bool hasNextRow = coords.z < ${n-1};\n\n // In parallel, construct four corners for all four components in\n // packed 2x2 cell.\n vec4 topLeft = vec4(\n getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n vec4 bottomLeft = vec4(\n getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n vec4 topRight = vec4(\n getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n vec4 bottomRight = vec4(\n getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n vec4 newValue = mix(top, bottom, fracRC.x);\n\n setOutput(newValue);\n }\n `}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class _n{constructor(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;const[,r,i]=e.shape,[,s,a]=t.shape,o=[n&&s>1?r-1:r,n&&a>1?i-1:i],u=[n&&s>1?s-1:s,n&&a>1?a-1:a],c=o[0]/u[0],l=o[1]/u[1],h=1/c,d=1/l,p=2*Math.ceil(h)+2,f=2*Math.ceil(d)+2;this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n int r = coords[1];\n int c = coords[2];\n\n float accumulator = 0.0;\n\n const float heightScale = float(${c});\n const float widthScale = float(${l});\n\n const float invHeightScale = float(${h});\n const float invWidthScale = float(${d});\n\n const int winHeight = int(${p});\n const int winWidth = int(${f});\n\n // Compute bounds for where in dy we will look\n float startRLerp = floor(float(r) * invHeightScale);\n int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n float startCLerp = floor(float(c) * invWidthScale);\n int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n // Loop over dy\n for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n int dyR = dyROffset + startDyR;\n\n // Guard against the window exceeding the bounds of dy\n if (dyR < 0 || dyR >= ${s}) {\n continue;\n }\n\n for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n int dyC = dyCOffset + startDyC;\n\n // Guard against the window exceeding the bounds of dy\n if (dyC < 0 || dyC >= ${a}) {\n continue;\n }\n\n float sourceFracRow =\n float(${o[0]}) *\n (float(dyR) / float(${u[0]}));\n\n float sourceFracCol =\n float(${o[1]}) *\n (float(dyC) / float(${u[1]}));\n\n int sourceNearestRow = int(min(\n float(int(${r}) - 1),\n ${n} ? float(round(sourceFracRow)) :\n float(floor(sourceFracRow))));\n\n int sourceNearestCol = int(min(\n float(int(${i}) - 1),\n ${n} ? float(round(sourceFracCol)) :\n float(floor(sourceFracCol))));\n\n if (r == sourceNearestRow && c == sourceNearestCol) {\n accumulator += getDy(b, dyR, dyC, d);\n }\n }\n }\n // End loop over dy\n\n setOutput(accumulator);\n }\n `}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class On{constructor(t,e,n,r){this.variableNames=["A"],this.outputShape=[];const[i,s,a,o]=t;this.outputShape=[i,e,n,o];const u=[r&&e>1?s-1:s,r&&n>1?a-1:a],c=[r&&e>1?e-1:e,r&&n>1?n-1:n],l=r?"0.5":"0.0";this.userCode=`\n const vec2 effectiveInputOverOutputRatioRC = vec2(\n ${u[0]/c[0]},\n ${u[1]/c[1]});\n const vec2 inputShapeRC = vec2(${s}.0, ${a}.0);\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n ivec2 yRC = coords.yz;\n\n // Fractional source index.\n vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n // Compute the coordinators of nearest neighbor point.\n ivec2 sourceNearestRC = ivec2(\n min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${l})));\n\n float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n setOutput(newValue);\n }\n `}} /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class Sn{constructor(t,e){this.variableNames=["x"];const n=t.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);if(this.outputShape=t,1===n)return void(this.userCode=`\n void main() {\n int coord = getOutputCoords();\n setOutput(getX(${t[0]} - coord - 1));\n }\n `);const r=t.map((n,r)=>(n=>-1!==e.indexOf(n)&&1!==t[n]?`${t[n]} - coords[${n}] - 1`:`coords[${n}]`)(r)).join(","),i=Kt(n);this.userCode=`\n void main() {\n ${i} coords = getOutputCoords();\n setOutput(getX(${r}));\n }\n `}} /** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class kn{constructor(t,e){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;const n=t.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);this.outputShape=t;const r=jt("rc",n),i=`${r[n-1]} + 1 < ${this.outputShape[n-1]}`,s=`${r[n-2]} + 1 < ${this.outputShape[n-2]}`,a=Kt(n);function o(n){const r=t.map((r,i)=>function(n,r){return-1!==e.indexOf(n)&&1!==t[n]?`${t[n]} - ${r[n]} - 1`:""+r[n]}(i,n));return`getChannel(getX(${r.join(",")}), vec2(${r.slice(-2).join(",")}))`}this.userCode=1===n?`\n void main(){\n int rc = getOutputCoords();\n vec4 result = vec4(0.);\n result.r = getChannel(getX(${t[0]} - rc - 1),\n ${t[0]} - rc - 1);\n if(${i}){\n result.g = getChannel(getX(${t[0]} - (rc + 1) - 1),\n ${t[0]} - (rc + 1) - 1);\n }\n setOutput(result);\n }\n `:`\n void main() {\n ${a} rc = getOutputCoords();\n vec4 result = vec4(0.);\n result.r = ${function(t){return o(t)}(r.slice())};\n if(${i}){\n result.g = ${function(t){return t[n-1]="("+t[n-1]+" + 1)",o(t)}(r.slice())};\n }\n if(${s}) {\n result.b = ${function(t){return t[n-2]="("+t[n-2]+" + 1)",o(t)}(r.slice())};\n if(${i}) {\n result.a = ${function(t){return t[n-1]="("+t[n-1]+" + 1)",t[n-2]="("+t[n-2]+" + 1)",o(t)}(r.slice())};\n }\n }\n setOutput(result);\n }\n `}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class Tn{constructor(t,e,n,r,i,s,a=!0){this.variableNames=["updates","indices","defaultValue"],this.outputShape=s;const o=Kt(i.length),u=Kt(s.length);let c="";1===n?c="i":2===n&&(c="i, j");const l=`getIndices(${c})`;let h="";1===r?h="i":2===r&&(h="i, coords[1]");const d=`getUpdates(${h})`,p=e>1?"strides[j]":"strides";this.userCode=`\n ${o} strides = ${o}(${i});\n\n void main() {\n ${u} coords = getOutputCoords();\n float sum = 0.0;\n bool found = false;\n for (int i = 0; i < ${t}; i++) {\n int flattenedIndex = 0;\n for (int j = 0; j < ${e}; j++) {\n int index = round(${l});\n flattenedIndex += index * ${p};\n }\n if (flattenedIndex == coords[0]) {\n sum += ${d};\n found = true;\n }\n }\n setOutput(mix(getDefaultValue(), sum, float(found)));\n }\n `}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class Cn{constructor(t,e){this.variableNames=["x","segmentIds"];const n=t.windowSize,r=t.batchSize,i=t.inSize,s=t.numSegments,a=s*Math.ceil(i/n);this.outputShape=[r,a];const o=4*Math.floor(n/4),u=n%4,c="\n sumValue += dot(values, segFilter);\n ";let l="";i%n>0&&(l=`\n if (inIdx < 0 || inIdx >= ${i}) {\n return initializationValue;\n }\n `);let h="";i%n>0&&(h=`\n if (inIdx < 0 || inIdx >= ${i}) {\n return -1.0;\n }\n `),this.userCode=`\n const float initializationValue = 0.0;\n\n float getValue(int batch, int inIdx) {\n ${l}\n return getX(batch, inIdx);\n }\n\n float getSegmentIdAtIndex(int inIdx) {\n ${h}\n return getSegmentIds(inIdx);\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = int(floor(float(outIdx) / float(\n ${s})) * float(${n}));\n int currentSeg = int(mod(float(outIdx), float(${s})));\n\n float sumValue = 0.0;\n\n for (int i = 0; i < ${o}; i += 4) {\n int inIdx = inOffset + i;\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n getValue(batch, inIdx + 3)\n );\n\n vec4 segFilter = vec4(\n int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n );\n\n ${c}\n }\n\n int inIdx = inOffset + ${o};\n if (${1===u}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n vec4 segFilter = vec4(\n int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n 0,\n 0,\n 0\n );\n\n ${c}\n } else if (${2===u}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n initializationValue,\n initializationValue\n );\n\n vec4 segFilter = vec4(\n int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n 0,\n 0\n );\n\n ${c}\n } else if (${3===u}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n initializationValue\n );\n\n vec4 segFilter = vec4(\n int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n 0\n );\n\n ${c}\n }\n setOutput(sumValue);\n }\n `}} /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class An{constructor(t,e,n){let r,i;if(this.variableNames=["c","a","b"],this.outputShape=e,n>4)throw Error(`Where for rank ${n} is not yet supported`);if(1===n)i="resRC",r="resRC";else{const n=["resRC.x","resRC.y","resRC.z","resRC.w"],s=[],a=[];for(let r=0;r= 1.0) {\n setOutput(getA(${i}));\n } else {\n setOutput(getB(${i}));\n }\n }\n `}} /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class Nn{constructor(t){this.variableNames=["source"],this.outputShape=t,this.rank=t.length;const e=Kt(this.rank),n=`uniform int start[${this.rank}];`,r=function(t){if(1===t)return"sourceLoc";if(t<=6)return In.slice(0,t).map(t=>"sourceLoc."+t).join(",");throw Error(`Slicing for rank ${t} is not yet supported`)} /** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */(this.rank);let i;i=`\n ${e} sourceLoc;\n ${e} coords = getOutputCoords();\n ${t.map((t,e)=>`sourceLoc.${In[e]} = start[${e}] + coords.${In[e]};`).join("\n")}\n `,this.userCode=`\n ${n}\n void main() {\n ${i}\n setOutput(getSource(${r}));\n }\n `}getCustomSetupFunc(t){if(t.length!==this.rank)throw Error(`The rank (${this.rank}) of the program must match the length of start (${t.length})`);return(e,n)=>{null==this.startLoc&&(this.startLoc=e.getUniformLocationNoThrow(n,"start"),null==this.startLoc)||e.gl.uniform1iv(this.startLoc,t)}}}const In=["x","y","z","w","u","v"];class En{constructor(t){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.rank=t.length;const e=Kt(this.rank),n=jt("coords",this.rank),r=jt("sourceLoc",this.rank),i=1===this.rank?"sourceLoc":`vec2(${r.slice(-2).join()})`,s=`getChannel(getSource(${r.join()}), ${i})`,a=`\n result.x = ${s};\n if (++${n[this.rank-1]} < ${t[this.rank-1]}) {\n ++${r[this.rank-1]};\n result.y = ${s};\n --${r[this.rank-1]};\n }\n `,o=1===this.rank?"":`\n --${n[this.rank-1]};\n if (++${n[this.rank-2]} < ${t[this.rank-2]}) {\n ++${r[this.rank-2]};\n result.z = ${s};\n if (++${n[this.rank-1]} < ${t[this.rank-1]}) {\n ++${r[this.rank-1]};\n result.w = ${s};\n }\n }\n `,u=this.rank<=4?`sourceLoc = coords +\n ${e}(${t.map((t,e)=>`start[${e}]`).join()});`:t.map((t,e)=>`${r[e]} = ${n[e]} + start[${e}];`).join("\n");this.userCode=`\n uniform int start[${this.rank}];\n void main() {\n ${e} coords = getOutputCoords();\n ${e} sourceLoc;\n ${u}\n vec4 result = vec4(0.);\n ${a}\n ${o}\n setOutput(result);\n }\n `}getCustomSetupFunc(t){if(t.length!==this.rank)throw Error(`The rank (${this.rank}) of the program must match the length of start (${t.length})`);return(e,n)=>{null==this.startLoc&&(this.startLoc=e.getUniformLocationNoThrow(n,"start"),null==this.startLoc)||e.gl.uniform1iv(this.startLoc,t)}}} /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class jn{constructor(t,e,n){this.variableNames=["x"],this.outputShape=n;const r=n.length,i=Kt(n.length),s=Kt(n.length);let a="";if(1===r)a="coords * strides + begin";else{let t=0;a=n.map((e,r)=>(t++,1===n.length?`coords * strides[${r}] + begin[${r}]`:`coords[${t-1}] * strides[${r}] + begin[${r}]`)).join(",")}this.userCode=`\n ${i} begin = ${i}(${t});\n ${i} strides = ${i}(${e});\n\n void main() {\n ${s} coords = getOutputCoords();\n setOutput(getX(${a}));\n }\n `}} /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class Mn{constructor(t){this.gpgpu=t,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}acquireTexture(t,e,n){const r=Rn(e,n),i=Pn(t,r,n);i in this.freeTextures||(this.freeTextures[i]=[]),i in this.usedTextures||(this.usedTextures[i]=[]);const s=Dn(t,r,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[i].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=s,this.log();const t=this.freeTextures[i].shift();return this.usedTextures[i].push(t),t}let a;return r===d.PACKED_2X2_FLOAT32?a=this.gpgpu.createPackedMatrixTexture(t[0],t[1]):r===d.PACKED_2X2_FLOAT16?a=this.gpgpu.createFloat16PackedMatrixTexture(t[0],t[1]):r===d.UNPACKED_FLOAT32?a=this.gpgpu.createFloat32MatrixTexture(t[0],t[1]):r===d.UNPACKED_FLOAT16?a=this.gpgpu.createFloat16MatrixTexture(t[0],t[1]):r===d.PACKED_4X1_UNSIGNED_BYTE&&(a=this.gpgpu.createUnsignedBytesMatrixTexture(t[0],t[1])),this.usedTextures[i].push(a),this.numUsedTextures++,this._numBytesAllocated+=s,this.log(),a}releaseTexture(t,e,n,r){if(null==this.freeTextures)return;const i=Rn(n,r),a=Pn(e,i,r);a in this.freeTextures||(this.freeTextures[a]=[]);const o=Dn(e,i,this.gpgpu.gl,this.gpgpu.textureConfig,r),u=Object(s.env)().get("WEBGL_DELETE_TEXTURE_THRESHOLD");-1!==u&&this._numBytesAllocated>u?(this.gpgpu.deleteMatrixTexture(t),this._numBytesAllocated-=o):(this.freeTextures[a].push(t),this.numFreeTextures++,this._numBytesFree+=o),this.numUsedTextures--;const c=this.usedTextures[a],l=c.indexOf(t);if(l<0)throw new Error("Cannot release a texture that was never provided by this texture manager");c.splice(l,1),this.log()}log(){if(!this.logEnabled)return;const t=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",`${this.numFreeTextures} / ${this.numUsedTextures}`,`(${t})`);const e=this._numBytesFree/this._numBytesAllocated;console.log("Bytes allocated: "+this._numBytesAllocated),console.log(`Bytes unused: ${this._numBytesFree} (${Math.round(100*e)}%)`)}get numBytesAllocated(){return this._numBytesAllocated}get numBytesFree(){return this._numBytesFree}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){if(null!=this.freeTextures){for(const t in this.freeTextures)this.freeTextures[t].forEach(t=>{this.gpgpu.deleteMatrixTexture(t)});for(const t in this.usedTextures)this.usedTextures[t].forEach(t=>{this.gpgpu.deleteMatrixTexture(t)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}}function Dn(t,e,n,r,i){const s=function(t,e){switch(t){case d.PACKED_2X2_FLOAT32:return qe(e);case d.PACKED_2X2_FLOAT16:return Ue(e);case d.UNPACKED_FLOAT32:return Pe(e);case d.UNPACKED_FLOAT16:return ze(e);case d.PACKED_4X1_UNSIGNED_BYTE:return $e(e);default:throw new Error("Unknown physical texture type "+t)}}(e,r);let a;if(i){const[e,n]=m(t[0],t[1]);a=e*n}else{const[e,n]=p(t[0],t[1]);a=e*n}return a*function(t,e){const n=t;if(e===n.R32F)return 4;if(e===n.R16F)return 2;if(e===n.RGBA32F)return 16;if(e===t.RGBA)return 16;if(e===n.RGBA16F)return 8;throw new Error("Unknown internal format "+e)}(n,s)}function Rn(t,e){if(t===h.UPLOAD)return d.PACKED_2X2_FLOAT32;if(t===h.RENDER||null==t)return function(t){return Object(s.env)().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?t?d.PACKED_2X2_FLOAT32:d.UNPACKED_FLOAT32:t?d.PACKED_2X2_FLOAT16:d.UNPACKED_FLOAT16}(e);if(t===h.DOWNLOAD||t===h.PIXELS)return d.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type "+t)}function Pn(t,e,n){return`${t[0]}_${t[1]}_${e}_${n}`} /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class Fn{constructor(t,e){this.variableNames=["A"];const n=new Array(t.length);for(let r=0;r5)throw Error(`Tile for rank ${e} is not yet supported`);if(1===e)return`imod(resRC, ${t[0]})`;const n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],r=[];for(let e=0;e= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n`;const Un="return -x;",Wn="return ceil(x);",Gn="return floor(x);",Hn="return exp(x);",Kn="return exp(x) - 1.0;",Qn=`\n // Error function is calculated approximately with elementary function.\n // See "Handbook of Mathematical Functions with Formulas,\n // Graphs, and Mathematical Tables", Abramowitz and Stegun.\n float p = ${s.backend_util.ERF_P};\n float a1 = ${s.backend_util.ERF_A1};\n float a2 = ${s.backend_util.ERF_A2};\n float a3 = ${s.backend_util.ERF_A3};\n float a4 = ${s.backend_util.ERF_A4};\n float a5 = ${s.backend_util.ERF_A5};\n\n float sign = sign(x);\n x = abs(x);\n float t = 1.0 / (1.0 + p * x);\n return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));\n`,Xn="return x;",Yn="\n vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n",Jn="\n vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n",Zn="\n vec4 result;\n\n result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n return result;\n";class tr{constructor(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.userCode=`\n vec4 unaryOperation(vec4 x) {\n ${e}\n }\n\n void main() {\n vec4 x = getAAtOutCoords();\n vec4 y = unaryOperation(x);\n\n setOutput(y);\n }\n `}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class er{constructor(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t;const e=t.length,n=jt("rc",e),r=Kt(e),i=function(t,e){if(1===t)return"rc";let n="";for(let r=0;re.push(t))}const e=this.texData.get(t),{values:n,shape:r,slice:i,dtype:a,complexTensorInfos:o,isPacked:u}=e;if(null!=i){let e;e=u?new tr(r,Xn):new zn(r,Xn);const n=this.runWebGLProgram(e,[{dataId:t,shape:r,dtype:a}],a),i=this.read(n.dataId);return this.disposeIntermediateTensorInfo(n),i}if(null!=n)return this.convertAndCacheOnCPU(t);if(!Object(s.env)().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&2===Object(s.env)().getNumber("WEBGL_VERSION"))throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");let c,l,h=null;if("complex64"!==a&&Object(s.env)().get("WEBGL_BUFFER_SUPPORTED")){c=this.decode(t);const e=this.texData.get(c.dataId);h=this.gpgpu.createBufferFromTexture(e.texture,...f(r))}if(this.pendingRead.set(t,[]),"complex64"!==a&&await this.gpgpu.createAndWaitForFence(),"complex64"===a){const t=await Promise.all([this.read(o.real.dataId),this.read(o.imag.dataId)]),e=t[0],n=t[1];l=s.backend_util.mergeRealAndImagArrays(e,n)}else if(null==h)l=this.getValuesFromTexture(t);else{const t=s.util.sizeFromShape(r);l=this.gpgpu.downloadFloat32MatrixFromBuffer(h,t)}null!=c&&this.disposeIntermediateTensorInfo(c);const d=this.convertAndCacheOnCPU(t,l),p=this.pendingRead.get(t);return this.pendingRead.delete(t),p.forEach(t=>t(d)),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t),this.pendingDeletes--),d}checkNumericalProblems(t){if(null!=t)for(let e=0;et.query)).filter(t=>null!=t),a=s.util.flatten(this.activeTimers.map(t=>t.name)).filter(t=>null!=t);this.activeTimers=e,r&&(this.programTimersStack=null);const o={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};if(Object(s.env)().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0){const t=await Promise.all(i);o.kernelMs=s.util.sum(t),o.getExtraProfileInfo=()=>t.map((t,e)=>({name:a[e],ms:t})).map(t=>`${t.name}: ${t.ms}`).join(", ")}else o.kernelMs={error:"WebGL query timers are not supported in this environment."};return this.uploadWaitMs=0,this.downloadWaitMs=0,o}memory(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}}startTimer(){return Object(s.env)().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:s.util.now(),endMs:null}}endTimer(t){return Object(s.env)().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),t):(t.endMs=s.util.now(),t)}async getQueryTime(t){if(Object(s.env)().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)return this.gpgpu.waitForQueryAndGetTime(t);const e=t;return e.endMs-e.startMs}disposeData(t){if(this.pendingDisposal.has(t))return;if(this.pendingRead.has(t))return this.pendingDisposal.add(t),void this.pendingDeletes++;if(!this.texData.has(t))return;if(this.texData.get(t).complexParentRefCount>0)return void this.texData.get(t).refCount--;this.releaseGPUData(t);const{complexTensorInfos:e}=this.texData.get(t);null!=e&&(this.texData.get(e.real.dataId).complexParentRefCount--,this.disposeIntermediateTensorInfo(e.real),this.texData.get(e.imag.dataId).complexParentRefCount--,this.disposeIntermediateTensorInfo(e.imag)),this.texData.delete(t)}releaseGPUData(t){const{texture:e,dtype:n,texShape:r,usage:i,isPacked:s,slice:a}=this.texData.get(t),o=a&&a.origDataId||t,u=this.dataRefCount.get(o);u>1?this.dataRefCount.set(o,u-1):(this.dataRefCount.delete(o),null!=e&&(this.numBytesInGPU-=this.computeBytes(r,n),this.textureManager.releaseTexture(e,r,i,s)));const c=this.texData.get(t);c.texture=null,c.texShape=null,c.isPacked=!1,c.slice=null}getTexture(t){return this.uploadToGPU(t),this.texData.get(t).texture}getDataInfo(t){return this.texData.get(t)}getCPUBackend(){return Object(s.env)().getBool("WEBGL_CPU_FORWARD")?(null==this.cpuBackend&&(this.cpuBackend=Object(s.engine)().findBackend("cpu")),this.cpuBackend):null}shouldExecuteOnCPU(t,e=128){const n=this.getCPUBackend();return this.warnedAboutCPUBackend||null!=n||(console.warn("Your application contains ops that are small enough to be executed on the CPU backend, however the CPU backend cannot be found. Consider importing the CPU backend (@tensorflow/tfjs-backend-cpu) for better performance."),this.warnedAboutCPUBackend=!0),null!=n&&t.every(t=>null==this.texData.get(t.dataId).texture&&s.util.sizeFromShape(t.shape)this.cpuBackend.stridedSlice(t,e,n,r));if(i)return i;const a=s.slice_util.computeOutShape(e,n,r);if(a.some(t=>0===t))return Object(s.tensor)([],a);const o=new jn(e,r,a);return this.compileAndRun(o,[t])}reverse(t,e){const n=Object(s.env)().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new kn(t.shape,e):new Sn(t.shape,e);return this.compileAndRun(n,[t])}neg(t){const e=this.tryRunOnCpuOrThrow([t],()=>this.cpuBackend.neg(t));if(e)return e;if(Object(s.env)().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Un,t.dtype);const n=new zn(t.shape,Un);return this.compileAndRun(n,[t])}batchMatMul(t,e,n,r){const i=n?t.shape[2]:t.shape[1],a=r?e.shape[1]:e.shape[2],o=n?t.shape[1]:t.shape[2],u=Math.max(t.shape[0],e.shape[0]);if((1===i||1===a)&&o>1e3){n&&(t=Object(s.transpose)(t,[0,2,1])),r&&(e=Object(s.transpose)(e,[0,2,1]));const i=1===a?t:t.as3D(u,o,1),c=1===a?2:1,l=1===a?e.as3D(u,1,o):e;return s.mul(i,l).sum(c,!0)}const c=Object(s.upcastType)(t.dtype,e.dtype),l=new cn(t.shape,e.shape,[u,i,a],n,r);return this.compileAndRun(l,[t,e],c)}fusedBatchMatMul({a:t,b:e,transposeA:n,transposeB:r,bias:i,activation:a,preluActivationWeights:o}){const u=n?t.shape[2]:t.shape[1],c=r?e.shape[1]:e.shape[2],l=Math.max(t.shape[0],e.shape[0]),h=Object(s.upcastType)(t.dtype,e.dtype),d=null!=i,p=null!=o,f=a?ur(a,!0):null,m=new cn(t.shape,e.shape,[l,u,c],n,r,d,f,p),g=[t,e];return i&&g.push(i),o&&g.push(o),this.compileAndRun(m,g,h)}localResponseNormalization4D(t,e,n,r,i){const a=Object(s.env)().getBool("WEBGL_PACK_NORMALIZATION")?new an(t.shape,e,n,r,i):new rn(t.shape,e,n,r,i);return this.compileAndRun(a,[t])}LRNGrad(t,e,n,r,i,s,a){const o=new sn(e.shape,r,i,s,a);return this.compileAndRun(o,[e,n,t])}tile(t,e){if("string"===t.dtype){const n=this.readSync(t.dataId).map(t=>s.util.decodeString(t)),r=Object(s.buffer)(t.shape,t.dtype,n);return ir(r,e)}const n=new Fn(t.shape,e);return this.compileAndRun(n,[t])}pad(t,e,n){const r=Object(s.env)().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new fn(t.shape,e,n):new pn(t.shape,e,n);return this.compileAndRun(r,[t])}gather(t,e,n){const r=this.tryRunOnCpuOrThrow([t,e],()=>this.cpuBackend.gather(t,e,n));if(r)return r;const i=new Ie(t.shape,e.size,n);return this.compileAndRun(i,[t,e])}batchToSpaceND(t,e,n){s.util.assert(t.rank<=4,()=>"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet");const r=e.reduce((t,e)=>t*e),i=s.backend_util.getReshaped(t.shape,e,r),a=s.backend_util.getPermuted(i.length,e.length),o=s.backend_util.getReshapedPermuted(t.shape,e,r),u=s.backend_util.getSliceBeginCoords(n,e.length),c=s.backend_util.getSliceSize(o,n,e.length);return Object(s.transpose)(t.reshape(i),a).reshape(o).slice(u,c)}spaceToBatchND(t,e,n){s.util.assert(t.rank<=4,()=>"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");const r=e.reduce((t,e)=>t*e),i=[[0,0]];i.push(...n);for(let n=1+e.length;nthis.cpuBackend.prod(t,e));if(n)return n;const[r,i]=s.backend_util.computeOutAndReduceShapes(t.shape,e),a=s.util.sizeFromShape(i),o=t.as2D(-1,a),u=s.sumOutType(t.dtype);return this.reduce(o,"prod",u).reshape(r)}unsortedSegmentSum(t,e,n){let r=0;const i=s.backend_util.getAxesPermutation([r],t.rank);let a=t;null!=i&&(a=Object(s.transpose)(t,i),r=s.backend_util.getInnerMostAxes(1,t.rank)[0]);const o=nr.computeOutShape(a.shape,r,n),u=s.util.sizeFromShape([a.shape[r]]),c=a.as2D(-1,u),l=s.sumOutType(t.dtype);let h=this.segOpCompute(c,"unsortedSegmentSum",e,l,n).reshape(o);return null!=i&&(h=Object(s.transpose)(h,s.backend_util.getUndoAxesPermutation(i))),h}segOpCompute(t,e,n,r,i){const a=t.shape[0],o=t.shape[1],u=nr.segOpComputeOptimalWindowSize(o,i),c=new Cn({windowSize:u,inSize:o,batchSize:a,numSegments:i},e),l=this.compileAndRun(c,[t,n],r);return l.shape[1]===i?l:(n=Object(s.range)(0,i).tile([o/u]),this.segOpCompute(l,e,n,r,i))}argMinMaxReduce(t,e,n){const r=[e];if(s.backend_util.assertAxesAreInnerMostDims("arg"+n.charAt(0).toUpperCase()+n.slice(1),r,t.rank),!Object(s.env)().getBool("WEBGL_PACK_REDUCE")||t.rank<=2){const[e,i]=s.backend_util.computeOutAndReduceShapes(t.shape,r),a=s.util.sizeFromShape(i),o=t.as2D(-1,a);return this.argReduce(o,n).reshape(e)}return this.argReducePacked(t,n)}argMin(t,e){return this.argMinMaxReduce(t,e,"min")}argMax(t,e){return this.argMinMaxReduce(t,e,"max")}cumsum(t,e,n,r){if(e!==t.rank-1)throw new Error(`WebGL cumsum shader expects an inner-most axis=${t.rank-1} but got axis=`+e);const i=t.shape[e];let s=t;for(let e=0;e<=Math.ceil(Math.log2(i))-1;e++){const n=new ye(t.shape,!1,r),i=n.getCustomSetupFunc(e),a=s;s=this.compileAndRun(n,[s],s.dtype,i),a.dispose()}if(n){const e=new ye(t.shape,n,r),i=s;s=this.compileAndRun(e,[s]),i.dispose()}return s}equal(t,e){if(Object(s.env)().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n return vec4(equal(a, b));\n","bool");const n=new ee("return float(a == b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")}less(t,e){const n=this.tryRunOnCpuOrThrow([t,e],()=>this.cpuBackend.less(t,e));if(n)return n;if(Object(s.env)().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n return vec4(lessThan(a, b));\n","bool");const r=new ee("return float(a < b);",t.shape,e.shape);return this.compileAndRun(r,[t,e],"bool")}lessEqual(t,e){if(Object(s.env)().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n return vec4(lessThanEqual(a, b));\n","bool");const n=new ee("return float(a <= b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")}greater(t,e){const n=this.tryRunOnCpuOrThrow([t,e],()=>this.cpuBackend.greater(t,e));if(n)return n;if(Object(s.env)().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n return vec4(greaterThan(a, b));\n","bool");const r=new ee("return float(a > b);",t.shape,e.shape);return this.compileAndRun(r,[t,e],"bool")}greaterEqual(t,e){if(Object(s.env)().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n return vec4(greaterThanEqual(a, b));\n","bool");const n=new ee("return float(a >= b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")}logicalNot(t){const e=new zn(t.shape,"return float(!(x >= 1.0));");return this.compileAndRun(e,[t])}logicalAnd(t,e){if(Object(s.env)().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n return vec4(\n vec4(greaterThanEqual(a, vec4(1.0))) *\n vec4(greaterThanEqual(b, vec4(1.0))));\n","bool");const n=new ee("return float(a >= 1.0 && b >= 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")}logicalOr(t,e){if(Object(s.env)().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n return min(\n vec4(greaterThanEqual(a, vec4(1.0))) +\n vec4(greaterThanEqual(b, vec4(1.0))),\n vec4(1.0));\n","bool");const n=new ee("return float(a >= 1.0 || b >= 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")}select(t,e,n){const r=new An(t.rank,e.shape,e.rank);return this.compileAndRun(r,[t,e,n],Object(s.upcastType)(e.dtype,n.dtype))}where(t){s.backend_util.warn("tf.where() in webgl locks the UI thread. 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NAN : result.a;\n\n return result;\n",t.shape,e.shape):new ee("\n if (isnan(a)) return a;\n if (isnan(b)) return b;\n\n return min(a, b);\n",t.shape,e.shape);return this.compileAndRun(r,[t,e])}mod(t,e){const n=Object(s.env)().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new re("\n vec4 result = mod(a, b);\n vec4 isNaN = vec4(equal(b, vec4(0.0)));\n \n result.r = isNaN.r > 0. ? NAN : result.r;\n result.g = isNaN.g > 0. ? NAN : result.g;\n result.b = isNaN.b > 0. ? NAN : result.b;\n result.a = isNaN.a > 0. ? NAN : result.a;\n\n return result;\n",t.shape,e.shape):new ee("if (b == 0.0) return NAN;\n return mod(a, b);",t.shape,e.shape);return this.compileAndRun(n,[t,e])}maximum(t,e){const n=this.tryRunOnCpuOrThrow([t,e],()=>this.cpuBackend.maximum(t,e));if(n)return n;const r=Object(s.env)().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new re("\n vec4 result = vec4(max(a, b));\n vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n \n result.r = isNaN.r > 0. ? NAN : result.r;\n result.g = isNaN.g > 0. ? NAN : result.g;\n result.b = isNaN.b > 0. ? NAN : result.b;\n result.a = isNaN.a > 0. ? NAN : result.a;\n\n return result;\n",t.shape,e.shape):new ee("\n if (isnan(a)) return a;\n if (isnan(b)) return b;\n\n return max(a, b);\n",t.shape,e.shape);return this.compileAndRun(r,[t,e])}all(t,e){s.backend_util.assertAxesAreInnerMostDims("all",e,t.rank);const[n,r]=s.backend_util.computeOutAndReduceShapes(t.shape,e),i=s.util.sizeFromShape(r),a=t.as2D(-1,i);return this.reduce(a,"all",a.dtype).reshape(n)}any(t,e){s.backend_util.assertAxesAreInnerMostDims("any",e,t.rank);const[n,r]=s.backend_util.computeOutAndReduceShapes(t.shape,e),i=s.util.sizeFromShape(r),a=t.as2D(-1,i);return this.reduce(a,"any",a.dtype).reshape(n)}floorDiv(t,e){if(Object(s.env)().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n ivec4 ia = round(a);\n ivec4 ib = round(b);\n bvec4 cond = notEqual(ib, ivec4(0));\n ivec4 result = ivec4(0);\n vec4 s = sign(a) * sign(b);\n\n // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n if (cond[0]) {\n result[0] = idiv(ia[0], ib[0], s[0]);\n }\n if (cond[1]) {\n result[1] = idiv(ia[1], ib[1], s[1]);\n }\n if (cond[2]) {\n result[2] = idiv(ia[2], ib[2], s[2]);\n }\n if (cond[3]) {\n result[3] = idiv(ia[3], ib[3], s[3]);\n }\n return vec4(result);\n","int32");const n=new ee("\n float s = sign(a) * sign(b);\n int ia = round(a);\n int ib = round(b);\n if (ib != 0) {\n // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n return float(idiv(ia, ib, s));\n } else {\n return NAN;\n }\n",t.shape,e.shape);return this.compileAndRun(n,[t,e],"int32")}packedUnaryOp(t,e,n){const r=new tr(t.shape,e);return this.compileAndRun(r,[t],n)}packedBinaryOp(t,e,n,r,i=!1){const s=new re(n,t.shape,e.shape,i);return this.compileAndRun(s,[t,e],r)}makeComplexComponentTensorInfo(t,e){return{dataId:e.dataId,dtype:e.dtype,shape:t.shape}}addN(t){if(1===t.length)return t[0];if(t.length>Object(s.env)().get("WEBGL_MAX_TEXTURES_IN_SHADER")){const e=Math.floor(t.length/2),n=this.addN(t.slice(0,e)),r=this.addN(t.slice(e));return this.addN([n,r])}const e=t.map(t=>t.dtype).reduce((t,e)=>Object(s.upcastType)(t,e)),n=t.map(t=>t.shape),r=Object(s.env)().getBool("WEBGL_PACK")?new Nt(t[0].shape,n):new At(t[0].shape,n);return this.compileAndRun(r,t,e)}pow(t,e){const n=Object(s.env)().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new re("\n // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n vec4 result = multiplier * pow(abs(a), b);\n\n // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n bvec4 isExpZero = equal(b, vec4(0.0));\n result.r = isExpZero.r ? 1.0 : result.r;\n result.g = isExpZero.g ? 1.0 : result.g;\n result.b = isExpZero.b ? 1.0 : result.b;\n result.a = isExpZero.a ? 1.0 : result.a;\n\n vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));\n \n result.r = isNaN.r > 0. ? NAN : result.r;\n result.g = isNaN.g > 0. ? NAN : result.g;\n result.b = isNaN.b > 0. ? NAN : result.b;\n result.a = isNaN.a > 0. ? NAN : result.a;\n\n return result;\n",t.shape,e.shape):new ee("\nif(a < 0.0 && floor(b) < b){\n return NAN;\n}\nif (b == 0.0) {\n return 1.0;\n}\nreturn (round(mod(b, 2.0)) != 1) ?\n pow(abs(a), b) : sign(a) * pow(abs(a), b);\n",t.shape,e.shape),r=Object(s.upcastType)(t.dtype,e.dtype);return this.compileAndRun(n,[t,e],r)}ceil(t){if(this.shouldExecuteOnCPU([t])){const e=gt(this.texData.get(t.dataId).values,t.dtype);return this.makeOutput(t.shape,t.dtype,e)}if(Object(s.env)().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Wn,t.dtype);const e=new zn(t.shape,Wn);return this.compileAndRun(e,[t])}floor(t){if(this.shouldExecuteOnCPU([t])){const e=vt(this.texData.get(t.dataId).values,t.dtype);return this.makeOutput(t.shape,t.dtype,e)}if(Object(s.env)().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Gn,t.dtype);const e=new zn(t.shape,Gn);return this.compileAndRun(e,[t])}sign(t){const e=new zn(t.shape,"\n if (isnan(x)) { return 0.0; }\n return sign(x);\n");return this.compileAndRun(e,[t])}isNaN(t){const e=new zn(t.shape,"return float(isnan(x));");return this.compileAndRun(e,[t],"bool")}isInf(t){const e=new zn(t.shape,"return float(isinf(x));");return this.compileAndRun(e,[t],"bool")}isFinite(t){const e=new zn(t.shape,"return float(!isnan(x) && !isinf(x));");return this.compileAndRun(e,[t],"bool")}round(t){const e=new zn(t.shape,"\n // OpenGL ES does not support round function.\n // The algorithm is based on banker's rounding.\n float base = floor(x);\n if ((x - base) < 0.5) {\n return floor(x);\n } else if ((x - base) > 0.5) {\n return ceil(x);\n } else {\n if (mod(base, 2.0) == 0.0) {\n return base;\n } else {\n return base + 1.0;\n }\n }\n");return this.compileAndRun(e,[t])}exp(t){if(this.shouldExecuteOnCPU([t])){const e=bt(this.texData.get(t.dataId).values,t.dtype);return this.makeOutput(t.shape,t.dtype,e)}if(Object(s.env)().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Hn,t.dtype);const e=new zn(t.shape,Hn);return this.compileAndRun(e,[t])}expm1(t){if(this.shouldExecuteOnCPU([t])){const e=yt(this.texData.get(t.dataId).values,t.dtype);return this.makeOutput(t.shape,t.dtype,e)}if(Object(s.env)().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Kn,t.dtype);const e=new zn(t.shape,Kn);return this.compileAndRun(e,[t])}softmax(t,e){const n=s.util.parseAxisParam([e],t.shape),r=Object(s.max)(t,n),i=s.backend_util.expandShapeToKeepDim(r.shape,n),a=s.sub(t,r.reshape(i)),o=this.exp(a),u=this.sum(o,n).reshape(i);return Object(s.div)(o,u)}log(t){if(this.shouldExecuteOnCPU([t])){const e=wt(this.texData.get(t.dataId).values,t.dtype);return this.makeOutput(t.shape,t.dtype,e)}if(Object(s.env)().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,"\n vec4 result = log(x);\n vec4 isNaN = vec4(lessThan(x, vec4(0.0)));\n result.r = isNaN.r == 1.0 ? NAN : result.r;\n result.g = isNaN.g == 1.0 ? NAN : result.g;\n result.b = isNaN.b == 1.0 ? NAN : result.b;\n result.a = isNaN.a == 1.0 ? NAN : result.a;\n\n return result;\n",t.dtype);const e=new zn(t.shape,"if (x < 0.0) return NAN;\n return log(x);");return this.compileAndRun(e,[t])}log1p(t){const e=new zn(t.shape,"return log(1.0 + x);");return this.compileAndRun(e,[t])}sqrt(t){const e=new zn(t.shape,"return sqrt(x);");return this.compileAndRun(e,[t])}rsqrt(t){if(this.shouldExecuteOnCPU([t])){const e=Ot(this.texData.get(t.dataId).values,t.dtype);return this.makeOutput(t.shape,t.dtype,e)}const e=new zn(t.shape,"return inversesqrt(x);");return this.compileAndRun(e,[t])}reciprocal(t){const e=new zn(t.shape,"return 1.0 / x;");return this.compileAndRun(e,[t])}relu(t){let e;return e=Object(s.env)().getBool("WEBGL_PACK")?new tr(t.shape,Yn):new zn(t.shape,$n),this.compileAndRun(e,[t])}relu6(t){let e;return e=Object(s.env)().getBool("WEBGL_PACK")?new tr(t.shape,Jn):new zn(t.shape,Bn),this.compileAndRun(e,[t])}prelu(t,e){const n=Object(s.env)().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new re(ne,t.shape,e.shape):new ee(te,t.shape,e.shape);return this.compileAndRun(n,[t,e])}elu(t){if(Object(s.env)().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Zn,t.dtype);const e=new zn(t.shape,qn);return this.compileAndRun(e,[t])}eluDer(t,e){const n=Object(s.env)().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new re("\n vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n",t.shape,e.shape):new ee("return (b >= 1.0) ? a : a * (b + 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e])}selu(t){const e=new zn(t.shape,Vn);return this.compileAndRun(e,[t])}clip(t,e,n){let r;r=Object(s.env)().getBool("WEBGL_PACK_CLIP")?new se(t.shape):new ie(t.shape);const i=r.getCustomSetupFunc(e,n);return this.compileAndRun(r,[t],null,i)}abs(t){if(this.shouldExecuteOnCPU([t])&&"complex64"!==t.dtype){const e=ft(this.texData.get(t.dataId).values);return this.makeOutput(t.shape,t.dtype,e)}if(Object(s.env)().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Ln,t.dtype);const e=new zn(t.shape,Ln);return this.compileAndRun(e,[t])}complexAbs(t){const e=this.texData.get(t.dataId),n=new ae(t.shape),r=[this.makeComplexComponentTensorInfo(t,e.complexTensorInfos.real),this.makeComplexComponentTensorInfo(t,e.complexTensorInfos.imag)];return this.compileAndRun(n,r)}sigmoid(t){const e=new zn(t.shape,"return 1.0 / (1.0 + exp(-1.0 * x));");return this.compileAndRun(e,[t])}softplus(t){const e=new zn(t.shape,"\n float epsilon = 1.1920928955078125e-7;\n float threshold = log(epsilon) + 2.0;\n\n bool too_large = x > -threshold;\n bool too_small = x < threshold;\n\n float result;\n float exp_x = exp(x);\n\n if (too_large){\n result = x;\n }\n else if (too_small){\n result = exp_x;\n }\n else{\n result = log(exp_x + 1.0);\n }\n return result;\n");return this.compileAndRun(e,[t])}asin(t){const e=new zn(t.shape,"if (isnan(x)) return x;\n if (abs(x) > 1.) {\n return NAN;\n }\n return asin(x);\n");return this.compileAndRun(e,[t])}acos(t){const e=new zn(t.shape,"if (isnan(x)) return x;\n if (abs(x) > 1.) {\n return NAN;\n }\n return acos(x);\n");return this.compileAndRun(e,[t])}atan(t){const e=new zn(t.shape,"if (isnan(x)) return x;\n return atan(x);\n");return this.compileAndRun(e,[t])}sinh(t){const e=new zn(t.shape,"\n float e2x = exp(x);\n return (e2x - 1.0 / e2x) / 2.0;\n");return this.compileAndRun(e,[t])}cosh(t){const e=new zn(t.shape,"\n float e2x = exp(-x);\n return (e2x + 1.0 / e2x) / 2.0;\n");return this.compileAndRun(e,[t])}tanh(t){const e=new zn(t.shape,"\n float e2x = exp(-2.0 * abs(x));\n return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n");return this.compileAndRun(e,[t])}asinh(t){const e=new zn(t.shape,"if (isnan(x)) return x;return log(x + sqrt(x * x + 1.0));");return this.compileAndRun(e,[t])}acosh(t){const e=new zn(t.shape,"if (isnan(x)) return x;\n if (x < 1.0) return NAN;\n return log(x + sqrt(x * x - 1.0));");return this.compileAndRun(e,[t])}atanh(t){const e=new zn(t.shape,"if (isnan(x)) return x;\n if ((x < -1.0) || (x > 1.0)) return NAN;\n return (log(1.0 + x) - log(1.0 - x)) / 2.0;");return this.compileAndRun(e,[t])}erf(t){const e=new zn(t.shape,Qn);return this.compileAndRun(e,[t])}step(t,e){const n=new zn(t.shape,function(t=0){return`if (isnan(x)) return x;\n return x > 0.0 ? 1.0 : float(${t});\n `}(e));return this.compileAndRun(n,[t])}conv2dByMatMul(t,e,n,r,i,a){const o=t.shape,u=this.texData.get(t.dataId),c=n.inChannels,l=o[0]*o[1]*o[2],h=n.outChannels,d="channelsLast"===n.dataFormat,p=(1===l||1===h)&&c>1e3,f=o[2]%2!=0&&!!u.isPacked;if(p||!Object(s.env)().getBool("WEBGL_LAZILY_UNPACK")||!Object(s.env)().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!f){const u=d?o[0]*o[1]*o[2]:o[0]*o[2]*o[3],c=Object(s.reshape)(t,[1,u,n.inChannels]),l=Object(s.reshape)(e,[1,n.inChannels,n.outChannels]),h=this.fusedBatchMatMul({a:c,b:l,transposeA:!1,transposeB:!1,bias:r,activation:i,preluActivationWeights:a});return Object(s.reshape)(h,n.outShape)}const m=d?o[0]*o[1]*(o[2]+1):o[0]*o[2]*(o[3]+1),g={dataId:t.dataId,shape:[1,m,n.inChannels],dtype:t.dtype},b=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,s.util.assert(Y(u.shape,g.shape),()=>`packed reshape ${u.shape} to ${g.shape} isn't free`);const y=Object(s.reshape)(e,[1,n.inChannels,n.outChannels]),v=this.fusedBatchMatMul({a:g,b:y,transposeA:!1,transposeB:!1,bias:r,activation:i,preluActivationWeights:a}),w=this.texData.get(v.dataId);return s.util.assert(w.isPacked,()=>"batchMatMul result is expected to be packed"),u.shape=b,w.shape=n.outShape,Object(s.engine)().makeTensorFromDataId(v.dataId,n.outShape,v.dtype)}conv2dWithIm2Row(t,e,n,r,i,s){const{filterWidth:a,filterHeight:o,inChannels:u,outWidth:c,outHeight:l,dataFormat:h}=n,d="channelsLast"===h,p=a*o*u,f=l*c,m=[p,f],g=t.squeeze([0]),b=e.reshape([1,p,-1]),y=new nn(m,g.shape,n),v=this.compileAndRun(y,[g]).reshape([1,m[0],m[1]]),w=null!=r,x=null!=s,_=i?ur(i,!0):null,O=new cn(v.shape,b.shape,[1,f,n.outChannels],!0,!1,w,_,x),S=[v,b];r&&S.push(r),x&&S.push(s);const k=this.compileAndRun(O,S);return d?k.reshape([1,l,c,n.outChannels]):k.reshape([1,n.outChannels,l,c])}fusedConv2d({input:t,filter:e,convInfo:n,bias:r,activation:i,preluActivationWeights:a}){if(1===n.filterHeight&&1===n.filterWidth&&1===n.dilationHeight&&1===n.dilationWidth&&1===n.strideHeight&&1===n.strideWidth&&("SAME"===n.padInfo.type||"VALID"===n.padInfo.type))return this.conv2dByMatMul(t,e,n,r,i,a);if(Object(s.env)().getBool("WEBGL_CONV_IM2COL")&&1===t.shape[0])return this.conv2dWithIm2Row(t,e,n,r,i,a);const o=null!=r,u=null!=a,c=i?ur(i,!1):null,l=new pe(n,o,c,u),h=[t,e];return r&&h.push(r),a&&h.push(a),this.compileAndRun(l,h)}conv2d(t,e,n){if(1===n.filterHeight&&1===n.filterWidth&&1===n.dilationHeight&&1===n.dilationWidth&&1===n.strideHeight&&1===n.strideWidth&&("SAME"===n.padInfo.type||"VALID"===n.padInfo.type))return this.conv2dByMatMul(t,e,n);if(Object(s.env)().getBool("WEBGL_CONV_IM2COL")&&1===t.shape[0])return this.conv2dWithIm2Row(t,e,n);const r=new pe(n);return this.compileAndRun(r,[t,e])}conv2dDerInput(t,e,n){const r=new ue(n);return this.compileAndRun(r,[t,e])}conv2dDerFilter(t,e,n){const r=new oe(n);return this.compileAndRun(r,[t,e])}fusedDepthwiseConv2D({input:t,filter:e,convInfo:n,bias:r,activation:i,preluActivationWeights:a}){const o=Object(s.env)().getBool("WEBGL_PACK_DEPTHWISECONV")&&n.strideWidth<=2&&n.outChannels/n.inChannels==1,u=i?ur(i,o):null,c=[t,e],l=null!=r,h=null!=a;let d;return l&&c.push(r),h&&c.push(a),o?(d=new ge(n,l,u,h),this.compileAndRun(d,c)):(d=new me(n,l,u,h),this.compileAndRun(d,c))}depthwiseConv2D(t,e,n){let r;return Object(s.env)().getBool("WEBGL_PACK_DEPTHWISECONV")&&n.strideWidth<=2&&n.outChannels/n.inChannels==1?(r=new ge(n),this.compileAndRun(r,[t,e])):(r=new me(n),this.compileAndRun(r,[t,e]))}depthwiseConv2DDerInput(t,e,n){const r=new de(n);return this.compileAndRun(r,[t,e])}depthwiseConv2DDerFilter(t,e,n){const r=new he(n);return this.compileAndRun(r,[t,e])}conv3d(t,e,n){const r=new fe(n);return this.compileAndRun(r,[t,e])}conv3dDerInput(t,e,n){const r=new le(n);return this.compileAndRun(r,[t,e])}conv3dDerFilter(t,e,n){const r=new ce(n);return this.compileAndRun(r,[t,e])}unstack(t,e){const n=t.shape[e],r=new Array(t.rank-1);let i=0;for(let n=0;n1,()=>"blockSize should be > 1 for depthToSpace, but was: "+e);const r=t.shape[0],i="NHWC"===n?t.shape[1]:t.shape[2],a="NHWC"===n?t.shape[2]:t.shape[3],o="NHWC"===n?t.shape[3]:t.shape[1],u=i*e,c=a*e,l=o/(e*e),h=new Oe("NHWC"===n?[r,u,c,l]:[r,l,u,c],e,n);return this.compileAndRun(h,[t])}split(t,e,n){return rr(t,e,n)}scatterND(t,e,n){const{sliceRank:r,numUpdates:i,sliceSize:a,strides:o,outputSize:u}=s.backend_util.calculateShapes(e,t,n),c=[u/a,a],l=t.reshape([i,r]),h=e.reshape([i,a]);if(0===u)return s.backend_util.reshapeTensor(Object(s.tensor)([]),n);const d=Object(s.scalar)(0),p=new Tn(i,r,l.rank,h.rank,o,c);return this.compileAndRun(p,[h,l,d]).reshape(n)}sparseToDense(t,e,n,r){const{sliceRank:i,numUpdates:a,strides:o,outputSize:u}=s.backend_util.calculateShapes(e,t,n),c=new Tn(a,i,t.rank,e.rank,o,[u,1],!1);return this.compileAndRun(c,[e,t,r]).reshape(n)}gatherND(t,e){const n=e.shape,r=n[n.length-1],[i,a,o,u]=s.backend_util.prepareAndValidate(t,e),c=e.reshape([a,r]),l=t.reshape([t.size/o,o]),h=new Ee(r,u,[a,o]);return this.compileAndRun(h,[l,c]).reshape(i)}fill(t,e,n){if("string"===(n=n||s.util.inferDtype(e))){const r=s.util.getArrayFromDType(n,s.util.sizeFromShape(t));return r.fill(e),Object(s.engine)().makeTensor(r,t,n,this)}{const r=new Ne(t,e),i=r.getCustomSetupFunc(e);return this.compileAndRun(r,[],n,i)}}onesLike(t){if("string"===t.dtype)throw new Error("onesLike is not supported under string dtype");return this.fill(t.shape,1,t.dtype)}zerosLike(t){return this.fill(t.shape,"string"===t.dtype?"":0,t.dtype)}linspace(t,e,n){return s.backend_util.linspaceImpl(t,e,n)}makeTensorInfo(t,e,n){const r=this.write(n,t,e);return this.texData.get(r).usage=null,{dataId:r,shape:t,dtype:e}}makeOutput(t,e,n){const{dataId:r}=this.makeTensorInfo(t,e,n);return Object(s.engine)().makeTensorFromDataId(r,t,e,this)}unpackTensor(t){const e=new er(t.shape);return this.runWebGLProgram(e,[t],t.dtype)}packTensor(t){const e=new dn(t.shape);return this.runWebGLProgram(e,[t],t.dtype,null,!0)}packedReshape(t,e){const n=[G(t.shape),...H(t.shape)],r={dtype:t.dtype,shape:n,dataId:t.dataId},i=[G(e),...H(e)],s=new yn(i,n),a=this.runWebGLProgram(s,[r],t.dtype,null,!0);return{dataId:a.dataId,shape:e,dtype:a.dtype}}decode(t){const e=this.texData.get(t),{isPacked:n,shape:r,dtype:i}=e,s=K(r);let a;a=n?new _e(s):new xe(s);return{dtype:i,shape:r,dataId:this.runWebGLProgram(a,[{shape:s,dtype:i,dataId:t}],i,null,!0).dataId}}runWebGLProgram(t,e,n,r,i=!1){const a=this.makeTensorInfo(t.outputShape,n),o=this.texData.get(a.dataId);if(t.packedOutput&&(o.isPacked=!0),t.outPackingScheme===l.DENSE){const e=f(t.outputShape);o.texShape=e.map(t=>2*t)}if(null!=t.outTexUsage&&(o.usage=t.outTexUsage),0===s.util.sizeFromShape(a.shape))return o.values=s.util.getTypedArrayFromDType(a.dtype,0),a;const u=[],c=e.map(e=>{if("complex64"===e.dtype)throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");let n=this.texData.get(e.dataId);if(null==n.texture){if(!t.packedInputs&&s.util.sizeFromShape(e.shape)<=Object(s.env)().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:e.shape,texData:null,isUniform:!0,uniformValues:n.values};t.packedInputs&&(n.isPacked=!0,n.shape=e.shape)}else if(!!n.isPacked!=!!t.packedInputs)e=n.isPacked?this.unpackTensor(e):this.packTensor(e),u.push(e),n=this.texData.get(e.dataId);else if(n.isPacked&&!Y(n.shape,e.shape)){const t=e,r=e.shape;e.shape=n.shape,e=this.packedReshape(e,r),u.push(e),n=this.texData.get(e.dataId),t.shape=r}return this.uploadToGPU(e.dataId),{shape:e.shape,texData:n,isUniform:!1}});this.uploadToGPU(a.dataId);const h={shape:a.shape,texData:o,isUniform:!1},d=function(t,e,n){let r="";e.concat(n).forEach(t=>{const e=null!=t.texData&&null!=t.texData.slice&&t.texData.slice.flatOffset>0,n=t.isUniform?"uniform":t.texData.texShape;r+=`${t.shape}_${n}_${e}`});const i=t.userCode;let s=t.constructor.name;return s+="_"+r+"_"+i,s}(t,c,h),p=this.getAndSaveBinary(d,()=>function(t,e,n,r){const i=e.userCode,a=n.map((t,n)=>{const r={logicalShape:t.shape,texShape:t.isUniform?null:t.texData.texShape,isUniform:t.isUniform,isPacked:!t.isUniform&&t.texData.isPacked,flatOffset:null};return null!=t.texData&&null!=t.texData.slice&&t.texData.slice.flatOffset>0&&(r.flatOffset=t.texData.slice.flatOffset),{name:e.variableNames[n],shapeInfo:r}}),o=a.map(t=>t.shapeInfo),u={logicalShape:r.shape,texShape:r.texData.texShape,isUniform:!1,isPacked:r.texData.isPacked,flatOffset:null},c=zt(a,u,i,e.packedInputs),l=t.createProgram(c);let h=null;const d=t.getUniformLocation(l,"NAN",!1);1===Object(s.env)().getNumber("WEBGL_VERSION")&&(h=t.getUniformLocation(l,"INFINITY",!1));const p={};for(let n=0;n{const i=e.program.variableNames[r],a=e.uniformLocations[i],o=e.uniformLocations["offset"+i];if(null!=a)if(n.isUniform)if(s.util.sizeFromShape(n.shape)<2)t.gl.uniform1f(a,n.uniformValues[0]);else{let e=n.uniformValues;e instanceof Float32Array||(e=new Float32Array(e)),t.gl.uniform1fv(a,e)}else null!=n.texData.slice&&null!=o&&t.gl.uniform1i(o,n.texData.slice.flatOffset),t.setInputMatrixTexture(n.texData.texture,a,r)}),null!=i&&i(t,e.webGLProgram),t.executeProgram()}(this.gpgpu,p,c,h,r),u.forEach(t=>this.disposeIntermediateTensorInfo(t)),m&&(g=this.endTimer(g),this.activeTimers.push({name:t.constructor.name,query:this.getQueryTime(g)})),!Object(s.env)().getBool("WEBGL_LAZILY_UNPACK")&&o.isPacked&&!1===i){const t=this.unpackTensor(a);return this.disposeIntermediateTensorInfo(a),t}return a}compileAndRun(t,e,n,r,i=!1){n=n||e[0].dtype;const a=this.runWebGLProgram(t,e,n,r,i);return Object(s.engine)().makeTensorFromDataId(a.dataId,a.shape,a.dtype)}getAndSaveBinary(t,e){return t in this.binaryCache||(this.binaryCache[t]=e()),this.binaryCache[t]}getTextureManager(){return this.textureManager}dispose(){if(!this.disposed){if(!Object(s.env)().getBool("IS_TEST")){Object.keys(this.binaryCache).forEach(t=>{this.gpgpu.deleteProgram(this.binaryCache[t].webGLProgram),delete this.binaryCache[t]})}this.textureManager.dispose(),null!=this.canvas&&"undefined"!=typeof HTMLCanvasElement&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0}}floatPrecision(){return null==this.floatPrecisionValue&&(this.floatPrecisionValue=Object(s.tidy)(()=>{if(!Object(s.env)().get("WEBGL_RENDER_FLOAT32_ENABLED")){const t=Object(s.env)().getBool("DEBUG");Object(s.env)().set("DEBUG",!1);const e=this.abs(Object(s.scalar)(1e-8)).dataSync()[0];if(Object(s.env)().set("DEBUG",t),e>0)return 32}return 16})),this.floatPrecisionValue}epsilon(){return 32===this.floatPrecision()?1e-7:1e-4}uploadToGPU(t){const e=this.texData.get(t),{shape:n,dtype:r,values:i,texture:a,usage:o,isPacked:u}=e;if(null!=a)return;const c=null!=this.activeTimers;let l;c&&(l=s.util.now());let d=e.texShape;if(null==d&&(d=Q(n,u),e.texShape=d),null!=i){const t=K(n);let a,o=d[1],p=d[0];const f=i instanceof Uint8Array;u?([o,p]=m(d[0],d[1]),a=new Ae(t,[p,o],f)):a=new Ce(t,[p,o],f);const g=this.makeTensorInfo([p,o],r);this.texData.get(g.dataId).usage=f?h.PIXELS:h.UPLOAD,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(g.dataId),o,p,i);const b=!0,y=this.runWebGLProgram(a,[g],r,null,b),v=this.texData.get(y.dataId);e.texture=v.texture,e.texShape=v.texShape,e.isPacked=v.isPacked,e.usage=v.usage,this.disposeIntermediateTensorInfo(g),this.texData.delete(y.dataId),e.values=null,c&&(this.uploadWaitMs+=s.util.now()-l)}else{const t=this.acquireTexture(d,o,r,u);e.texture=t}}convertAndCacheOnCPU(t,e){const n=this.texData.get(t),{dtype:r}=n;return this.releaseGPUData(t),null!=e&&(n.values=function(t,e){if("float32"===e||"complex64"===e)return t;if("int32"===e||"bool"===e){const n="int32"===e?new Int32Array(t.length):new Uint8Array(t.length);for(let e=0;e1024*this.numMBBeforeWarning*1024){const t=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn(`High memory usage in GPU: ${t} MB, most likely due to a memory leak`)}return this.textureManager.acquireTexture(t,e,r)}computeBytes(t,e){return t[0]*t[1]*s.util.bytesPerElement(e)}tryRunOnCpuOrThrow(t,e){if(this.shouldExecuteOnCPU(t))try{return e()}catch(t){if(Object(s.env)().getBool("IS_TEST"))throw new Error("CPU forwarding failed")}return null}}const lr="2.7.0"; /** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function hr(){Object(s.env)().set("WEBGL_FORCE_F16_TEXTURES",!0)} /** * @license * Copyright 2020 Google Inc. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */s.device_util.isBrowser()&&Object(s.registerBackend)("webgl",()=>new cr,2);const dr={forceHalfFloat:hr}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function pr(t){const{inputs:e,backend:n}=t,{x:r}=e;return n.incRef(r.dataId),{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}const fr={kernelName:s.Identity,backendName:"webgl",kernelFunc:pr}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function mr(t){const{inputs:e,backend:n}=t,{real:r,imag:i}=e,s=n.makeTensorInfo(r.shape,"complex64"),a=n.texData.get(s.dataId),o=pr({inputs:{x:r},backend:n});n.texData.get(o.dataId).complexParentRefCount++;const u=pr({inputs:{x:i},backend:n});return n.texData.get(u.dataId).complexParentRefCount++,a.complexTensorInfos={real:o,imag:u},s}const gr={kernelName:s.Complex,backendName:"webgl",kernelFunc:mr}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function br(t){return({inputs:e,backend:n})=>{const{x:r}=e,i=n,s=new zn(r.shape,t);return i.runWebGLProgram(s,[r],r.dtype)}}function yr({opSnippet:t,packedOpSnippet:e,checkOutOfBounds:n=!1,supportsComplex:r=!1,cpuKernelImpl:i,dtype:a}){return({inputs:o,backend:u})=>{const{a:c,b:l}=o,h=u;if(r&&"complex64"===c.dtype){const e=h.texData.get(c.dataId),n=h.texData.get(l.dataId),[r,i]=[[e.complexTensorInfos.real,n.complexTensorInfos.real],[e.complexTensorInfos.imag,n.complexTensorInfos.imag]].map(e=>{const[n,r]=e,i={dataId:n.dataId,dtype:n.dtype,shape:c.shape},a={dataId:r.dataId,dtype:r.dtype,shape:l.shape},o=new ee(t,c.shape,l.shape);return h.runWebGLProgram(o,[i,a],Object(s.upcastType)(n.dtype,r.dtype))}),a=mr({inputs:{real:r,imag:i},backend:h});return h.disposeIntermediateTensorInfo(r),h.disposeIntermediateTensorInfo(i),a}const d=a||Object(s.upcastType)(c.dtype,l.dtype);if(h.shouldExecuteOnCPU([c,l])&&null!=i){const t=h.texData.get(c.dataId),e=h.texData.get(l.dataId),[n,r]=i(c.shape,l.shape,t.values,e.values,d),s=h.makeTensorInfo(r,d);return h.texData.get(s.dataId).values=n,s}let p;return p=Object(s.env)().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&null!=e?new re(e,c.shape,l.shape,n):new ee(t,c.shape,l.shape),h.runWebGLProgram(p,[c,l],d)}} /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const vr="return a + b;",wr=yr({opSnippet:vr,packedOpSnippet:vr,supportsComplex:!0,cpuKernelImpl:mt}),xr={kernelName:s.Add,backendName:"webgl",kernelFunc:wr},_r=yr({opSnippet:"\n if (isnan(a)) return a;\n if (isnan(b)) return b;\n\n return atan(a, b);\n",packedOpSnippet:"\n vec4 result = atan(a, b);\n vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n \n result.r = isNaN.r > 0. ? NAN : result.r;\n result.g = isNaN.g > 0. ? NAN : result.g;\n result.b = isNaN.b > 0. ? NAN : result.b;\n result.a = isNaN.a > 0. ? NAN : result.a;\n\n return result;\n"}),Or={kernelName:s.Atan2,backendName:"webgl",kernelFunc:_r};const Sr={kernelName:s.AvgPool,backendName:"webgl",kernelFunc: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t){const{inputs:e,backend:n,attrs:r}=t,{x:i}=e;ht(i,"avgPool");const{filterSize:a,strides:o,pad:u,dimRoundingMode:c}=r;s.util.assert(s.backend_util.eitherStridesOrDilationsAreOne(o,1),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${o} and dilations '1'`);const l=s.backend_util.computePool2DInfo(i.shape,a,o,1,u,c);if(1===l.filterWidth&&1===l.filterHeight&&s.util.arraysEqual(l.inShape,l.outShape))return pr({inputs:{x:i},backend:n});const h=new mn(l,"avg",!1);return n.runWebGLProgram(h,[i],"float32")}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const kr={kernelName:s.AvgPoolBackprop,backendName:"webgl",kernelFunc:function(t){const{inputs:e,backend:n,attrs:r}=t,{dy:i,input:a}=e,o=a;ht([i,a],"avgPoolBackprop");const{filterSize:u,strides:c,pad:l}=r,h=s.backend_util.computePool2DInfo(o.shape,u,c,1,l),d=new Jt(h);return n.runWebGLProgram(d,[i],o.dtype)}}; /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class Tr{constructor(t,e,n,r,i,a){this.outputShape=[],this.variableNames=["x","mean","variance"],s.backend_util.assertAndGetBroadcastShape(t,e),s.backend_util.assertAndGetBroadcastShape(t,n);let o="0.0";null!=r&&(s.backend_util.assertAndGetBroadcastShape(t,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");let u="1.0";null!=i&&(s.backend_util.assertAndGetBroadcastShape(t,i),this.variableNames.push("scale"),u="getScaleAtOutCoords()"),this.outputShape=t,this.userCode=`\n void main() {\n float x = getXAtOutCoords();\n float mean = getMeanAtOutCoords();\n float variance = getVarianceAtOutCoords();\n float offset = ${o};\n float scale = ${u};\n float inv = scale * inversesqrt(variance + float(${a}));\n setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n }\n `}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class Cr{constructor(t,e,n,r,i,a){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],s.backend_util.assertAndGetBroadcastShape(t,e),s.backend_util.assertAndGetBroadcastShape(t,n);let o="vec4(0.0)";null!=r&&(s.backend_util.assertAndGetBroadcastShape(t,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");let u="vec4(1.0)";null!=i&&(s.backend_util.assertAndGetBroadcastShape(t,i),this.variableNames.push("scale"),u="getScaleAtOutCoords()"),this.outputShape=t,this.userCode=`\n void main() {\n vec4 offset = ${o};\n vec4 scale = ${u};\n\n vec4 x = getXAtOutCoords();\n vec4 mean = getMeanAtOutCoords();\n vec4 variance = getVarianceAtOutCoords();\n\n vec4 inv = scale * inversesqrt(variance + vec4(${a}));\n\n setOutput((x - mean) * inv + offset);\n }\n `}} /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Ar={kernelName:s.FusedBatchNorm,backendName:"webgl",kernelFunc:({inputs:t,backend:e,attrs:n})=>{const{x:r,mean:i,variance:a,offset:o,scale:u}=t;s.util.assert(i.shape.length===a.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),s.util.assert(null==o||i.shape.length===o.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),s.util.assert(null==u||i.shape.length===u.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let{varianceEpsilon:c}=n;null==c&&(c=.001);const l=[r,i,a];let h=null;null!=o&&(h=o.shape,l.push(o));let d=null;null!=u&&(d=u.shape,l.push(u));const p=Object(s.env)().getBool("WEBGL_PACK_NORMALIZATION")?new Cr(r.shape,i.shape,a.shape,h,d,c):new Tr(r.shape,i.shape,a.shape,h,d,c);return e.runWebGLProgram(p,l,l[0].dtype)}},Nr=yr({opSnippet:"return float(a != b);",dtype:"bool"}),Ir={kernelName:s.NotEqual,backendName:"webgl",kernelFunc:Nr}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function Er(t){const{inputs:e,backend:n}=t,{input:r}=e;return pr({inputs:{x:n.texData.get(r.dataId).complexTensorInfos.real},backend:n})}const jr={kernelName:s.Real,backendName:"webgl",kernelFunc:Er}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Mr={kernelName:s.Cast,backendName:"webgl",kernelFunc: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function t(e){const{inputs:n,backend:r,attrs:i}=e,{x:a}=n,{dtype:o}=i;if("complex64"===o){if("complex64"===a.dtype)return pr({inputs:{x:a},backend:r});const e=s.zeros(a.shape),n=t({inputs:{x:a},backend:r,attrs:{dtype:"float32"}}),i=mr({inputs:{real:n,imag:e},backend:r});return e.dispose(),r.disposeIntermediateTensorInfo(n),i}if("complex64"===a.dtype){const e=Er({inputs:{input:a},backend:r}),n=t({inputs:{x:e},backend:r,attrs:{dtype:o}});return r.disposeIntermediateTensorInfo(e),n}if(!s.util.hasEncodingLoss(a.dtype,o)){const t=pr({inputs:{x:a},backend:r});return{dataId:t.dataId,shape:t.shape,dtype:o}}if("int32"===o)return function(t,e){const n=new zn(t.shape,"return float(int(x));"),r=e.runWebGLProgram(n,[t],"int32");return{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}(a,r);if("bool"===o){const t=r.makeTensorInfo([],"bool",s.util.getTypedArrayFromDType("bool",1)),e=Nr({inputs:{a:a,b:t},backend:r});return r.disposeIntermediateTensorInfo(t),e}throw new Error(`Error in Cast: failed to cast ${a.dtype} to ${o}`)}}; /** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class Dr{constructor(t){this.outputShape=[],this.outputShape=s.backend_util.computeOutShape(t,1),this.variableNames=t.map((t,e)=>"T"+e);const e=new Array(t.length-1);e[0]=t[0][1];for(let n=1;n"T"+e);const u=new Array(t.length-1);u[0]=t[0][e];for(let n=1;n= ${u[t-1]}) {\n return getChannel(\n getT${t}(${Pr(o,c,e)}),\n vec2(${Pr(l,c,e)}));\n }`}const p=u.length,f=u[u.length-1];d+=`\n return getChannel(\n getT${p}(${Pr(o,c,f)}),\n vec2(${Pr(l,c,f)}));`,this.userCode=`\n float getValue(${o.map(t=>"int "+t)}) {\n ${d}\n }\n\n void main() {\n ${i} coords = getOutputCoords();\n vec4 result = vec4(getValue(${a}), 0., 0., 0.);\n\n ${a[r-1]} = ${a[r-1]} + 1;\n if (${a[r-1]} < ${n[r-1]}) {\n result.g = getValue(${a});\n }\n\n ${a[r-2]} = ${a[r-2]} + 1;\n if (${a[r-2]} < ${n[r-2]}) {\n result.a = getValue(${a});\n }\n\n ${a[r-1]} = ${a[r-1]} - 1;\n if (${a[r-2]} < ${n[r-2]} &&\n ${a[r-1]} < ${n[r-1]}) {\n result.b = getValue(${a});\n }\n setOutput(result);\n }\n `}}function Pr(t,e,n){const r=t.indexOf(e);return t.map((t,e)=>e===r?`${t} - ${n}`:t).join()} /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Fr(t){const{inputs:e,backend:n}=t,{input:r}=e;return pr({inputs:{x:n.texData.get(r.dataId).complexTensorInfos.imag},backend:n})}const zr={kernelName:s.Imag,backendName:"webgl",kernelFunc:Fr}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function Lr(t){const{inputs:e,backend:n,attrs:r}=t,{x:i}=e,{shape:a}=r,o=n,u=s.util.sizeFromShape(i.shape),c=s.util.inferFromImplicitShape(a,u),l=s.util.sizeFromShape(c);s.util.assert(u===l,()=>`The new shape (${c}) has ${l} elements and the old shape (${i.shape}) has ${u} elements. The new shape and old shape must have the same number of elements.`);const h=o.texData.get(i.dataId);return!h.isPacked||Y(i.shape,c)||null!==h.texture&&Y(h.shape,c)?(o.incRef(i.dataId),{dataId:i.dataId,shape:c,dtype:i.dtype}):function(t,e,n){const r=[G(t.shape),...H(t.shape)],i={dtype:t.dtype,shape:r,dataId:t.dataId},s=[G(e),...H(e)],a=new yn(s,r),o=n.runWebGLProgram(a,[i],t.dtype,null,!0);return{dataId:o.dataId,shape:e,dtype:o.dtype}}(i,c,o)}const $r={kernelName:s.Reshape,backendName:"webgl",kernelFunc:Lr}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Br={kernelName:s.Concat,backendName:"webgl",kernelFunc: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t){const{inputs:e,backend:n,attrs:r}=t,{axis:i}=r,a=s.util.parseAxisParam(i,e[0].shape)[0],o=s.backend_util.computeOutShape(e.map(t=>t.shape),a);if(0===s.util.sizeFromShape(o))return n.makeTensorInfo(o,e[0].dtype,[]);const u=e.filter(t=>s.util.sizeFromShape(t.shape)>0);if(1===u.length)return u[0];const c=u.map(t=>t.shape);return s.backend_util.assertParamsConsistent(c,a),function t(e,n,r){const i=e[0].dtype;if("complex64"===i){const i=e.map(t=>Er({inputs:{input:t},backend:r})),s=e.map(t=>Fr({inputs:{input:t},backend:r})),a=t(i,n,r),o=t(s,n,r),u=mr({inputs:{real:a,imag:o},backend:r});return i.forEach(t=>r.disposeIntermediateTensorInfo(t)),s.forEach(t=>r.disposeIntermediateTensorInfo(t)),r.disposeIntermediateTensorInfo(a),r.disposeIntermediateTensorInfo(o),u}if(e.length>Object(s.env)().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){const i=Math.floor(e.length/2),s=t(e.slice(0,i),n,r),a=t(e.slice(i),n,r),o=t([s,a],n,r);return r.disposeIntermediateTensorInfo(s),r.disposeIntermediateTensorInfo(a),o}if(Object(s.env)().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&e[0].shape.length>1){const t=new Rr(e.map(t=>t.shape),n);return r.runWebGLProgram(t,e,i)}const a=s.backend_util.computeOutShape(e.map(t=>t.shape),n),o=e.map(t=>Lr({inputs:{x:t},attrs:{shape:[-1,s.util.sizeFromShape(t.shape.slice(n))]},backend:r})),u=new Dr(o.map(t=>t.shape)),c=r.runWebGLProgram(u,o,i);o.forEach(t=>r.disposeIntermediateTensorInfo(t));const l=Lr({inputs:{x:c},attrs:{shape:a},backend:r});return r.disposeIntermediateTensorInfo(c),l}(u,a,n)}},qr=br("if (isnan(x)) return x;\n return cos(x);\n"),Vr={kernelName:s.Cos,backendName:"webgl",kernelFunc:qr},Ur=yr({opSnippet:"\nif (a == b) {\n return 1.0;\n};\nreturn a / b;",packedOpSnippet:"\n // vec4 one = vec4(equal(a, b));\n // return one + (vec4(1.0) - one) * a / b;\n vec4 result = a / b;\n if(a.x == b.x) {\n result.x = 1.;\n }\n if(a.y == b.y) {\n result.y = 1.;\n }\n if(a.z == b.z) {\n result.z = 1.;\n }\n if(a.w == b.w) {\n result.w = 1.;\n }\n\n return result;\n",checkOutOfBounds:!0}),Wr={kernelName:s.Div,backendName:"webgl",kernelFunc:Ur}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ class Gr{constructor(t,e,n){this.variableNames=["real","imag"];const r=e[1];this.outputShape=e;const i=n?"2.0 * "+Math.PI:"-2.0 * "+Math.PI,s=n?r+".0":"1.0";let a;if("real"===t)a="return real * expR - imag * expI;";else{if("imag"!==t)throw new Error(`FFT component must be either "real" or "imag", got ${t}.`);a="return real * expI + imag * expR;"}this.userCode=`\n const float exponentMultiplier = ${i};\n\n float unaryOpComplex(float real, float expR, float imag, float expI) {\n ${a}\n }\n\n float mulMatDFT(int batch, int index) {\n float indexRatio = float(index) / float(${r});\n float exponentMultiplierTimesIndexRatio =\n exponentMultiplier * indexRatio;\n\n float result = 0.0;\n\n for (int i = 0; i < ${r}; i++) {\n // x = (-2|2 * PI / N) * index * i;\n float x = exponentMultiplierTimesIndexRatio * float(i);\n float expR = cos(x);\n float expI = sin(x);\n float real = getReal(batch, i);\n float imag = getImag(batch, i);\n\n result +=\n unaryOpComplex(real, expR, imag, expI) / ${s};\n }\n\n return result;\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n setOutput(mulMatDFT(coords[0], coords[1]));\n }\n `}} /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Hr(t,e,n){const r=n.texData.get(t.dataId),i=s.util.sizeFromShape(t.shape),a=t.shape[t.shape.length-1],o=Lr({inputs:{x:t},backend:n,attrs:{shape:[i/a,a]}}).shape,u=new Gr("real",o,e),c=new Gr("imag",o,e),l=[{dataId:r.complexTensorInfos.real.dataId,dtype:r.complexTensorInfos.real.dtype,shape:o},{dataId:r.complexTensorInfos.imag.dataId,dtype:r.complexTensorInfos.imag.dtype,shape:o}],h=n.runWebGLProgram(u,l,"float32"),d=n.runWebGLProgram(c,l,"float32"),p=mr({inputs:{real:h,imag:d},backend:n});n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(d);const f=Lr({inputs:{x:p},backend:n,attrs:{shape:t.shape}});return n.disposeIntermediateTensorInfo(f),f} /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Kr={kernelName:s.FFT,backendName:"webgl",kernelFunc:function(t){const{inputs:e,backend:n}=t,{input:r}=e;return Hr(r,!1,n)}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class Qr{constructor(t){this.variableNames=["Image"],this.outputShape=[];const e=t[2];this.outputShape=t,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int x = coords[2];\n\n int coordX = ${e} - x;\n float outputValue;\n if(coordX >= 0 && coordX < ${e}) {\n outputValue = getImage(coords[0], coords[1], coordX, coords[3]);\n } else {\n outputValue = getImage(coords[0], coords[1], coords[2], coords[3]);\n }\n setOutput(outputValue);\n }\n `}} /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Xr={kernelName:s.FlipLeftRight,backendName:"webgl",kernelFunc:({inputs:t,backend:e})=>{const{image:n}=t,r=e,i=new Qr(n.shape);return r.runWebGLProgram(i,[n],n.dtype)}}; /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class Yr{constructor(t){this.variableNames=["A"];const e=Mt(),[n,r]=t;this.outputShape=t,this.userCode=`\n void main() {\n ivec3 coords = getOutputCoords();\n int texR = coords[0];\n int texC = coords[1];\n int depth = coords[2];\n vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${r}.0, ${n}.0);\n\n vec4 values = ${e.texture2D}(A, uv);\n float value;\n if (depth == 0) {\n value = values.r;\n } else if (depth == 1) {\n value = values.g;\n } else if (depth == 2) {\n value = values.b;\n } else if (depth == 3) {\n value = values.a;\n }\n\n setOutput(floor(value * 255.0 + 0.5));\n }\n `}} /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class Jr{constructor(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;const e=Mt(),[n,r]=t;this.outputShape=t,this.userCode=`\n void main() {\n ivec3 coords = getOutputCoords();\n int texR = coords[0];\n int texC = coords[1];\n int depth = coords[2];\n\n vec4 result = vec4(0.);\n\n for(int row=0; row<=1; row++) {\n for(int col=0; col<=1; col++) {\n texC = coords[1] + row;\n depth = coords[2] + col;\n\n vec2 uv = (vec2(texC, texR) + halfCR) /\n vec2(${r}.0, ${n}.0);\n vec4 values = ${e.texture2D}(A, uv);\n float value;\n if (depth == 0) {\n value = values.r;\n } else if (depth == 1) {\n value = values.g;\n } else if (depth == 2) {\n value = values.b;\n } else if (depth == 3) {\n value = values.a;\n }\n\n result[row * 2 + col] = floor(value * 255.0 + 0.5);\n }\n }\n\n ${e.output} = result;\n }\n `}} /** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Zr={kernelName:s.FromPixels,backendName:"webgl",kernelFunc:function(t){const{inputs:e,backend:n,attrs:r}=t;let{pixels:i}=e;const{numChannels:a}=r,o="undefined"!=typeof HTMLVideoElement&&i instanceof HTMLVideoElement,u="undefined"!=typeof HTMLImageElement&&i instanceof HTMLImageElement,[c,l]=o?[i.videoWidth,i.videoHeight]:[i.width,i.height],d=[l,c],p=[l,c,a];(u||o)&&(null==ti&&(ti=document.createElement("canvas").getContext("2d")),ti.canvas.width=c,ti.canvas.height=l,ti.drawImage(i,0,0,c,l),i=ti.canvas);const f=n.makeTensorInfo(d,"int32");n.texData.get(f.dataId).usage=h.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(f.dataId),i);const m=Object(s.env)().getBool("WEBGL_PACK")?new Jr(p):new Yr(p),g=n.runWebGLProgram(m,[f],"int32");return n.disposeData(f.dataId),g} /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */};let ti;const ei={kernelName:s.IFFT,backendName:"webgl",kernelFunc:function(t){const{inputs:e,backend:n}=t,{input:r}=e;return Hr(r,!0,n)}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class ni{constructor(t,e){this.variableNames=["x"];const{windowSize:n,batchSize:r,inSize:i,outSize:a}=t;this.outputShape=[r,a];const o=4*Math.floor(n/4),u=n%4;let c="sumValue += dot(values, ones);";if(null!=e){const t=1/e;c=`sumValue += dot(values * ${s.util.isInt(t)?t.toPrecision(2):t}, ones);`}let l="";i%n>0&&(l=`\n if (inIdx < 0 || inIdx >= ${i}) {\n return 0.0;\n }\n `),this.userCode=`\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float getValue(int batch, int inIdx) {\n ${l}\n return getX(batch, inIdx);\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = outIdx * ${n};\n\n float sumValue = 0.0;\n\n for (int i = 0; i < ${o}; i += 4) {\n int inIdx = inOffset + i;\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n getValue(batch, inIdx + 3)\n );\n\n ${c}\n }\n\n int inIdx = inOffset + ${o};\n if (${1===u}) {\n vec4 values = vec4(getValue(batch, inIdx), 0.0, 0.0, 0.0);\n\n ${c}\n } else if (${2===u}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1), 0.0, 0.0);\n\n ${c}\n } else if (${3===u}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2), 0.0);\n\n ${c}\n }\n setOutput(sumValue);\n }\n `}} /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function ri(t,e,n,r){const i=function(t){const e=[];for(;0===e.length||1!==e[e.length-1].outSize;){const n=e.length?e[e.length-1].outSize:t[1],r=s.backend_util.computeOptimalWindowSize(n);e.push({inSize:n,windowSize:r,outSize:Math.ceil(n/r)})}return e}(t.shape);let a=t;for(let s=0;s6)throw Error(`Transpose for rank ${e} is not yet supported`);const n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],r=new Array(e);for(let e=0;e6)throw Error(`Packed transpose for rank ${this.rank} is not yet supported.`);const r=Kt(this.rank),i=Et("rc",this.rank),s=new Array(this.rank);for(let t=0;t{const{x:r}=t,{reductionIndices:i,keepDims:a}=e,o=n,u=r.shape.length,c=s.util.parseAxisParam(i,r.shape);let l=c;const h=s.backend_util.getAxesPermutation(l,u),d=null!=h,p=o.shouldExecuteOnCPU([r]);let f=r;if(d){if(p){const t=o.texData.get(f.dataId).values,e=new Array(u);for(let t=0;t`Error in maxPool: Either strides or dilations must be 1. Got strides ${o} and dilations '1'`);const l=s.backend_util.computePool2DInfo(i.shape,a,o,1,u,c);if(1===l.filterWidth&&1===l.filterHeight&&s.util.arraysEqual(l.inShape,l.outShape))return pr({inputs:{x:i},backend:n});const h=new mn(l,"max",!1);return n.runWebGLProgram(h,[i],i.dtype)}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const ci={kernelName:s.MaxPoolBackprop,backendName:"webgl",kernelFunc:function(t){const{inputs:e,backend:n,attrs:r}=t,{dy:i,input:a,output:o}=e,u=a;ht([a,o],"maxPoolBackprop");const{filterSize:c,strides:l,pad:h,dimRoundingMode:d}=r,p=s.backend_util.computePool2DInfo(u.shape,c,l,1,h,d),f=new mn(p,"max",!0),m=n.runWebGLProgram(f,[u],u.dtype),g=new on(p),b=n.runWebGLProgram(g,[i,m],u.dtype);return n.disposeIntermediateTensorInfo(m),b}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const li={kernelName:s.MaxPoolWithArgmax,backendName:"webgl",kernelFunc:({inputs:t,attrs:e,backend:n})=>{const{x:r}=t,{filterSize:i,strides:a,pad:o,includeBatchInIndex:u}=e,c=n;s.util.assert(4===r.shape.length,()=>`Error in maxPool: input must be rank 4 but got rank ${r.shape.length}.`);const l=[1,1];s.util.assert(s.backend_util.eitherStridesOrDilationsAreOne(a,l),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${l}'`);const h=s.backend_util.computePool2DInfo(r.shape,i,a,l,o),[d,p]=function(t,e,n,r){let i=new mn(n,"max",!1);const s=r.runWebGLProgram(i,[t],"float32");return i=new mn(n,"max",!0,!0,e),[s,r.runWebGLProgram(i,[t],"float32")]}(r,u,h,c);return[d,p]}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const hi={kernelName:s.Mean,backendName:"webgl",kernelFunc:({inputs:t,attrs:e,backend:n})=>{const{x:r}=t,{keepDims:i,axis:a}=e,o=n,u=r.shape.length,c=s.util.parseAxisParam(a,r.shape);let l=c;const h=s.backend_util.getAxesPermutation(l,u),d=null!=h,p=o.shouldExecuteOnCPU([r]),f=[];let m=r;if(d){if(p){const t=o.texData.get(m.dataId).values,e=new Array(u);for(let t=0;te[0]+t[n]+e[1]);const r=t.length,i=Kt(r),s=e.map(t=>t[0]).join(","),a=e.map((e,n)=>e[0]+t[n]).join(","),o=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r),u="reflect"===n?0:1;this.userCode=1!==r?`\n ${i} start = ${i}(${s});\n ${i} end = ${i}(${a});\n\n void main() {\n ${i} outC = getOutputCoords();\n for (int i = 0; i < ${r}; i++) {\n if (outC[i] < start[i]) {\n outC[i] = start[i] * 2 - outC[i] - ${u};\n } else if(outC[i] >= end[i]) {\n outC[i] = (end[i] - 1) * 2 - outC[i] + ${u};\n }\n }\n ${i} coords = outC - start;\n setOutput(getX(${o}));\n }\n `:`\n int start = ${s};\n int end = ${a};\n\n void main() {\n int outC = getOutputCoords();\n if (outC < start) {\n outC = start * 2 - outC - ${u};\n } else if(outC >= end) {\n outC = (end - 1) * 2 - outC + ${u};\n }\n setOutput(getX(outC - start));\n }\n `}} /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class pi{constructor(t,e,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.map((e,n)=>e[0]+t[n]+e[1]);const r=t.length,i=Kt(r),s=e.map(t=>t[0]).join(","),a=e.map((e,n)=>e[0]+t[n]).join(","),o=jt("rc",r),u=jt("source",r),c=`${o[r-1]} < ${this.outputShape[r-1]}`,l=1===r?"source":`vec2(${u.slice(-2).join()})`,h="reflect"===n?0:1;let d="";if(1===r){const t=`\n ${i} source = rc;\n if (source < start) {\n source = start * 2 - source - ${h};\n } else if (source >= end) {\n source = (end - 1) * 2 - source + ${h};\n }\n source -= start;\n `;d=`\n ${i} rc = outputLoc;\n ${t}\n result[0] = getChannel(getX(${u.join()}), ${l});\n ${o[r-1]} += 1;\n if(${c}) {\n ${t}\n result[1] = getChannel(getX(${u.join()}), ${l});\n }\n `}else{const t=`\n ${i} source = rc;\n ${i} lt = ${i}(lessThan(source, start));\n ${i} gte = ${i}(greaterThanEqual(source, end));\n ${i} orig = 1 - (lt + gte);\n source = orig * source +\n lt * (start * 2 - source - ${h}) +\n gte * ((end - 1) * 2 - source + ${h});\n source -= start;\n `;d=`\n ${i} rc = outputLoc;\n ${t}\n result[0] = getChannel(getX(${u.join()}), ${l});\n ${o[r-1]} += 1;\n if(${c}) {\n ${t}\n result[1] = getChannel(getX(${u.join()}), ${l});\n }\n rc = outputLoc;\n ${o[r-2]} += 1;\n if(${o[r-2]} < ${this.outputShape[r-2]}) {\n ${t}\n result[2] = getChannel(getX(${u.join()}), ${l});\n ${o[r-1]} += 1;\n if(${c}) {\n ${t}\n result[3] = getChannel(getX(${u.join()}), ${l});\n }\n }\n `}this.userCode=`\n const ${i} start = ${i}(${s});\n const ${i} end = ${i}(${a});\n\n void main() {\n ${i} outputLoc = getOutputCoords();\n vec4 result = vec4(0.);\n ${d}\n setOutput(result);\n }\n `}} /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const fi={kernelName:s.MirrorPad,backendName:"webgl",kernelFunc:({inputs:t,backend:e,attrs:n})=>{const{x:r}=t,{paddings:i,mode:a}=n,o=Object(s.env)().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new pi(r.shape,i,a):new di(r.shape,i,a);return e.runWebGLProgram(o,[r],r.dtype)}},mi="return areal * breal - aimag * bimag;",gi="return areal * bimag + aimag * breal;";class bi{constructor(t,e,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=s.backend_util.assertAndGetBroadcastShape(e,n),this.userCode=`\n float binaryOpComplex(\n float areal, float aimag, float breal, float bimag) {\n ${t}\n }\n\n void main() {\n float areal = getARealAtOutCoords();\n float aimag = getAImagAtOutCoords();\n float breal = getBRealAtOutCoords();\n float bimag = getBImagAtOutCoords();\n setOutput(binaryOpComplex(areal, aimag, breal, bimag));\n }\n `}} /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const yi="return a * b;";const vi={kernelName:s.Multiply,backendName:"webgl",kernelFunc:function(t){const{inputs:e,backend:n}=t,{a:r,b:i}=e,a=s.backend_util.upcastType(r.dtype,i.dtype);if("complex64"===r.dtype){const t=n.texData.get(r.dataId),e=n.texData.get(i.dataId),s=new bi(mi,r.shape,i.shape),a=new bi(gi,r.shape,i.shape),o=[{dataId:t.complexTensorInfos.real.dataId,dtype:t.complexTensorInfos.real.dtype,shape:r.shape},{dataId:t.complexTensorInfos.imag.dataId,dtype:t.complexTensorInfos.imag.dtype,shape:r.shape},{dataId:e.complexTensorInfos.real.dataId,dtype:e.complexTensorInfos.real.dtype,shape:i.shape},{dataId:e.complexTensorInfos.imag.dataId,dtype:e.complexTensorInfos.imag.dtype,shape:i.shape}],u=n.runWebGLProgram(s,o,"float32"),c=n.runWebGLProgram(a,o,"float32"),l=mr({inputs:{real:u,imag:c},backend:n});return n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(c),l}if(n.shouldExecuteOnCPU([r,i])){const t=n.texData.get(r.dataId),e=n.texData.get(i.dataId),[s,o]=_t(r.shape,i.shape,t.values,e.values,a),u=n.makeTensorInfo(o,a);return n.texData.get(u.dataId).values=s,u}let o;return o=Object(s.env)().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new re(yi,r.shape,i.shape):new ee(yi,r.shape,i.shape),n.runWebGLProgram(o,[r,i],a)}},wi={kernelName:s.NonMaxSuppressionV3,backendName:"webgl",kernelFunc:({inputs:t,backend:e,attrs:n})=>{s.backend_util.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");const{boxes:r,scores:i}=t,{maxOutputSize:a,iouThreshold:o,scoreThreshold:u}=n,c=e,l=c.readSync(r.dataId),h=c.readSync(i.dataId),d=a,p=o,f=u;return s.kernel_impls.nonMaxSuppressionV3Impl(l,h,d,p,f)}},xi=s.kernel_impls.nonMaxSuppressionV4Impl,_i={kernelName:s.NonMaxSuppressionV4,backendName:"webgl",kernelFunc:({inputs:t,backend:e,attrs:n})=>{s.backend_util.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");const{boxes:r,scores:i}=t,{maxOutputSize:a,iouThreshold:o,scoreThreshold:u,padToMaxOutputSize:c}=n,l=e,h=l.readSync(r.dataId),d=l.readSync(i.dataId),{selectedIndices:p,validOutputs:f}=xi(h,d,a,o,u,c);return[p,f]}},Oi=s.kernel_impls.nonMaxSuppressionV5Impl,Si={kernelName:s.NonMaxSuppressionV5,backendName:"webgl",kernelFunc:({inputs:t,backend:e,attrs:n})=>{s.backend_util.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");const{boxes:r,scores:i}=t,{maxOutputSize:a,iouThreshold:o,scoreThreshold:u,softNmsSigma:c}=n,l=e,h=l.readSync(r.dataId),d=l.readSync(i.dataId),p=a,f=o,m=u,g=c,{selectedIndices:b,selectedScores:y}=Oi(h,d,p,f,m,g);return[b,y]}}; /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ class ki{constructor(t,e,n,r){this.variableNames=["Image"],this.outputShape=[];const i=t[1],a=t[2],o=Math.sin(e).toFixed(3),u=Math.cos(e).toFixed(3);this.outputShape=t;const[c,l]=s.backend_util.getImageCenter(r,i,a),h=c.toFixed(3),d=l.toFixed(3);let p="";p="number"==typeof n?`float outputValue = ${n.toFixed(2)};`:`\n vec3 fill = vec3(${n.join(",")});\n float outputValue = fill[coords[3]];`,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int x = coords[2];\n int y = coords[1];\n float coordXFloat = (float(x) - ${h}) * ${u} - (float(y) - ${d}) * ${o};\n float coordYFloat = (float(x) - ${h}) * ${o} + (float(y) - ${d}) * ${u};\n int coordX = int(round(coordXFloat + ${h}));\n int coordY = int(round(coordYFloat + ${d}));\n ${p}\n if(coordX >= 0 && coordX < ${a} && coordY >= 0 && coordY < ${i}) {\n outputValue = getImage(coords[0], coordY, coordX, coords[3]);\n }\n setOutput(outputValue);\n }\n `}} /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Ti={kernelName:s.RotateWithOffset,backendName:"webgl",kernelFunc:({inputs:t,attrs:e,backend:n})=>{const{image:r}=t,{radians:i,fillValue:s,center:a}=e,o=n,u=new ki(r.shape,i,s,a);return o.runWebGLProgram(u,[r],r.dtype)}},Ci=br("if (isnan(x)) return x;\n return sin(x);\n"),Ai={kernelName:s.Sin,backendName:"webgl",kernelFunc:Ci},Ni=br("return x * x;"),Ii={kernelName:s.Square,backendName:"webgl",kernelFunc:Ni},Ei=yr({opSnippet:"return (a - b) * (a - b);",packedOpSnippet:"return (a - b) * (a - b);"}),ji={kernelName:s.SquaredDifference,backendName:"webgl",kernelFunc:Ei},Mi="return a - b;",Di=yr({opSnippet:Mi,packedOpSnippet:Mi,supportsComplex:!0,cpuKernelImpl:kt}),Ri={kernelName:s.Sub,backendName:"webgl",kernelFunc:Di},Pi=br("return tan(x);"); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Fi=[xr,Or,Sr,kr,Ar,Mr,gr,Br,Vr,Wr,Kr,Xr,Zr,fr,ei,zr,oi,ui,ci,li,hi,fi,vi,wi,_i,Si,Ir,jr,$r,Ti,Ai,Ii,Ri,ji,{kernelName:s.Tan,backendName:"webgl",kernelFunc:Pi},{kernelName:s.Transpose,backendName:"webgl",kernelFunc:({inputs:t,attrs:e,backend:n})=>{const{x:r}=t,{perm:i}=e,s=n,a=r.shape.length,o=new Array(a);for(let t=0;t`Length of inShape (${t.length}) and rank of dy (${e.rank}) must match`);let l=t,h=e,d=!1;4===e.rank&&(d=!0,h=Object(u.a)(e,[1,e.shape[0],e.shape[1],e.shape[2],e.shape[3]]),l=[1,t[0],t[1],t[2],t[3]]);const p=l[4],f=h.shape[4];s.b(5===l.length,()=>"Error in conv3dDerInput: inShape must be length 5, but got length "+l.length+"."),s.b(5===h.rank,()=>"Error in conv3dDerInput: dy must be rank 5, but got rank "+h.rank),s.b(5===n.rank,()=>"Error in conv3dDerInput: filter must be rank 5, but got rank "+n.rank),s.b(p===n.shape[3],()=>`Error in conv3dDerInput: depth of input (${p}) must match input depth for filter ${n.shape[3]}.`),s.b(f===n.shape[4],()=>`Error in conv3dDerInput: depth of output (${f}) must match output depth for filter ${n.shape[4]}.`);const m={dy:h,filter:n},g={pad:c,strides:o,inputShape:l},b=r.a.runKernelFunc(t=>{const e=a.b(l,n.shape,o,1,c);return t.conv3dDerInput(h,n,e)},m,null,i.F,g);return d?Object(u.a)(b,[b.shape[1],b.shape[2],b.shape[3],b.shape[4]]):b}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return c}));var r=n(5),i=n(3),s=n(1),a=n(7),o=n(4),u=n(8);const c=Object(o.b)({resizeNearestNeighbor_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e,n=!1){const o=Object(s.a)(t,"images","resizeNearestNeighbor");a.b(3===o.rank||4===o.rank,()=>`Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank ${o.rank}.`),a.b(2===e.length,()=>"Error in resizeNearestNeighbor: new shape must 2D, but got shape "+e+"."),a.b("float32"===o.dtype||"int32"===o.dtype,()=>"`images` must have `int32` or `float32` as dtype");let c=o,l=!1;3===o.rank&&(l=!0,c=Object(u.a)(o,[1,o.shape[0],o.shape[1],o.shape[2]]));const[h,d]=e,p={images:c},f={alignCorners:n,size:e},m=r.a.runKernelFunc((t,e)=>(e([c]),t.resizeNearestNeighbor(c,h,d,n)),p,null,i.kc,f);return l?Object(u.a)(m,[m.shape[1],m.shape[2],m.shape[3]]):m}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return c}));var r=n(5),i=n(3),s=n(1),a=n(7),o=n(4),u=n(8);const c=Object(o.b)({resizeBilinear_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e,n=!1){const o=Object(s.a)(t,"images","resizeBilinear");a.b(3===o.rank||4===o.rank,()=>`Error in resizeBilinear: x must be rank 3 or 4, but got rank ${o.rank}.`),a.b(2===e.length,()=>"Error in resizeBilinear: new shape must 2D, but got shape "+e+".");let c=o,l=!1;3===o.rank&&(l=!0,c=Object(u.a)(o,[1,o.shape[0],o.shape[1],o.shape[2]]));const[h,d]=e,p={images:c},f={alignCorners:n,size:e},m=r.a.runKernelFunc((t,e)=>(e([c]),t.resizeBilinear(c,h,d,n)),p,null,i.ic,f);return l?Object(u.a)(m,[m.shape[1],m.shape[2],m.shape[3]]):m}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return u}));var r=n(5),i=n(3),s=n(20),a=n(4),o=n(8);const u=Object(a.b)({depthwiseConv2dNativeBackpropInput_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e,n,a,u,c=[1,1],l){let h=e,d=!1;3===e.rank&&(d=!0,h=Object(o.a)(e,[1,e.shape[0],e.shape[1],e.shape[2]]));const p={dy:h,filter:n},f={strides:a,pad:u,dimRoundingMode:l,dilations:c,inputShape:t},m=r.a.runKernelFunc(e=>{const r=s.a(t,n.shape,a,c,u,l,!0);return e.depthwiseConv2DDerInput(h,n,r)},p,null,i.N,f);return d?Object(o.a)(m,[m.shape[1],m.shape[2],m.shape[3]]):m}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return u}));var r=n(5),i=n(3),s=n(20),a=n(4),o=n(8);const u=Object(a.b)({depthwiseConv2dNativeBackpropFilter_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e,n,a,u,c=[1,1],l){let h=t;3===t.rank&&(h=Object(o.a)(t,[1,t.shape[0],t.shape[1],t.shape[2]]));let d=e;3===d.rank&&(d=Object(o.a)(e,[1,e.shape[0],e.shape[1],e.shape[2]]));const p={x:h,dy:d},f={strides:a,pad:u,dimRoundingMode:l,dilations:c,filterShape:n};return r.a.runKernelFunc(e=>{const r=s.a(t.shape,n,a,c,u,l,!0);return e.depthwiseConv2DDerFilter(h,d,r)},p,null,i.M,f)}})},function(t,e,n){"use strict";var r,i=this&&this.__extends||(r=function(t,e){return(r=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var n in e)e.hasOwnProperty(n)&&(t[n]=e[n])})(t,e)},function(t,e){function n(){this.constructor=t}r(t,e),t.prototype=null===e?Object.create(e):(n.prototype=e.prototype,new n)});Object.defineProperty(e,"__esModule",{value:!0}),e.PitchChordEncoder=e.TriadChordEncoder=e.MajorMinorChordEncoder=e.chordEncoderFromType=e.ChordEncoder=e.ChordSymbols=e.ChordEncodingException=e.ChordSymbolException=e.ChordQuality=void 0;var s,a=n(36),o=n(404),u=n(67),c=[["1P","3M","5P"],["1P","3m","5P"],["1P","3M","5A"],["1P","3m","5d"]];!function(t){t[t.Major=0]="Major",t[t.Minor=1]="Minor",t[t.Augmented=2]="Augmented",t[t.Diminished=3]="Diminished",t[t.Other=4]="Other"}(s=e.ChordQuality||(e.ChordQuality={}));var l=function(t){function e(e){var n=this.constructor,r=t.call(this,e)||this;return Object.setPrototypeOf(r,n.prototype),r}return i(e,t),e}(Error);e.ChordSymbolException=l;var h=function(t){function e(e){var n=this.constructor,r=t.call(this,e)||this;return Object.setPrototypeOf(r,n.prototype),r}return i(e,t),e}(Error);e.ChordEncodingException=h;var d=function(){function t(){}return t.pitches=function(t){if(!o.Chord.tokenize(t)[0]||!o.Chord.exists(t))throw new l("Unrecognized chord symbol: "+t);return o.Chord.notes(t).map(o.Note.chroma)},t.root=function(t){var e=o.Chord.tokenize(t)[0];if(!e)throw new l("Chord symbol has unknown root: "+t);return o.Note.chroma(e)},t.quality=function(t){if(!o.Chord.exists(t))throw new l("Unrecognized chord symbol: "+t);var e=o.Chord.intervals(t),n=c.map((function(t){return t.every((function(t){return e.includes(t)}))})),r=n.indexOf(!0),i=n.lastIndexOf(!0);return r>=0&&r===i?r:s.Other},t}();e.ChordSymbols=d;var p=function(){function t(){}return t.prototype.encodeProgression=function(t,e){var n=this,r=t.map((function(t){return n.encode(t)})),i=Array.from(Array(e).keys()).map((function(t){return Math.floor(t*r.length/e)}));return a.stack(i.map((function(t){return r[t]})))},t}();e.ChordEncoder=p,e.chordEncoderFromType=function(t){switch(t){case"MajorMinorChordEncoder":return new f;case"TriadChordEncoder":return new m;case"PitchChordEncoder":return new g;default:throw new Error("Unknown chord encoder type: "+t)}};var f=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.depth=1+2*u.NUM_PITCH_CLASSES,e}return i(e,t),e.prototype.index=function(t){if(t===u.NO_CHORD)return 0;var e=d.root(t),n=1+d.quality(t)*u.NUM_PITCH_CLASSES+e;if(n>=this.depth)throw new h("Chord is neither major nor minor: "+t);return n},e.prototype.encode=function(t){var e=this;return a.tidy((function(){return a.oneHot(a.tensor1d([e.index(t)],"int32"),e.depth).as1D()}))},e}(p);e.MajorMinorChordEncoder=f;var m=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.depth=1+4*u.NUM_PITCH_CLASSES,e}return i(e,t),e.prototype.index=function(t){if(t===u.NO_CHORD)return 0;var e=d.root(t),n=1+d.quality(t)*u.NUM_PITCH_CLASSES+e;if(n>=this.depth)throw new h("Chord is not a standard triad: "+t);return n},e.prototype.encode=function(t){var e=this;return a.tidy((function(){return a.oneHot(a.tensor1d([e.index(t)],"int32"),e.depth).as1D()}))},e}(p);e.TriadChordEncoder=m;var g=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.depth=1+3*u.NUM_PITCH_CLASSES,e}return i(e,t),e.prototype.encode=function(t){var e=this;return a.tidy((function(){if(t===u.NO_CHORD)return a.oneHot(a.tensor1d([0],"int32"),e.depth).as1D();var n=d.root(t),r=a.oneHot(a.tensor1d([n],"int32"),u.NUM_PITCH_CLASSES).as1D(),i=a.buffer([u.NUM_PITCH_CLASSES]);d.pitches(t).forEach((function(t){return i.set(1,t)}));var s=i.toTensor().as1D(),o=r;return 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All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t){const e=Object(s.a)(t,"x","isNaN"),n={x:e};return r.a.runKernelFunc(t=>t.isNaN(e),n,null,i.rb)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return s}));var r=n(5),i=n(3); /** * @license * Copyright 2018 Google LLC. 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All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t){const e=Object(i.a)(t,"x","logSigmoid");return Object(r.a)(t=>({value:Object(a.a)(Object(c.a)(Object(a.a)(t))),gradFunc:e=>Object(s.a)(e,Object(u.a)(Object(a.a)(t)))}))(e)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return p}));var r=n(5),i=n(3),s=n(1),a=n(12),o=n(40),u=n(76),c=n(72),l=n(4),h=n(14),d=n(21);const p=Object(l.b)({logSoftmax_: /** * @license * Copyright 2020 Google Inc. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e=-1){const n=Object(s.a)(t,"logits","logSoftmax");if(-1===e&&(e=n.rank-1),e!==n.rank-1)throw Error(`Log Softmax along a non-last dimension is not yet supported. 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All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e,n,a,o=!1){const u={x:Object(s.a)(t,"x","maxPoolWithArgmax")},c={filterSize:e,strides:n,pad:a,includeBatchInIndex:o},l=r.a.runKernel(i.Ib,u,c);return{result:l[0],indexes:l[1]}}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return o}));var r=n(5),i=n(1),s=n(4),a=n(8);const o=Object(s.b)({multinomial_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e,n,s=!1){const o=Object(i.a)(t,"logits","multinomial"),u=o.size,c=o.rank;if(u<2)throw new Error("Error in multinomial: you need at least 2 outcomes, but got "+u+".");if(c>2)throw new Error("Rank of probabilities must be 1 or 2, but is "+c);n=n||Math.random();const l=1===c?Object(a.a)(o,[1,-1]):o,h=r.a.runKernelFunc(t=>t.multinomial(l,s,e,n),{logits2D:l});return 1===c?Object(a.a)(h,[h.size]):h}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return h}));var r=n(5),i=n(3),s=n(1),a=n(51),o=n(100),u=n(4),c=n(94),l=n(23);const h=Object(u.b)({onesLike_: /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t){const e=Object(s.a)(t,"x","onesLike"),n={x:e};return r.a.runKernelFunc((t,n)=>{if("complex64"===e.dtype){const t=h(Object(c.a)(e)),n=Object(l.a)(Object(o.a)(e));return Object(a.a)(t,n)}return t.onesLike(e)},n,null,i.Wb)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return o}));var r=n(5),i=n(3),s=n(1),a=n(4);const o=Object(a.b)({reciprocal_: /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t){const e=Object(s.a)(t,"x","reciprocal"),n={x:e};return r.a.runKernelFunc((t,n)=>{const r=t.reciprocal(e);return n([e]),r},n,null,i.ec)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return o}));var r=n(5),i=n(3),s=n(1),a=n(4);const o=Object(a.b)({round_: /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t){const e=Object(s.a)(t,"x","round"),n={x:e};return r.a.runKernelFunc(t=>t.round(e),n,null,i.oc)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return a}));var r=n(6),i=n(1),s=n(7);const a= /** * @license * Copyright 2020 Google Inc. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ async function(t,e){const n=Object(i.a)(t,"x","setdiff1d"),a=Object(i.a)(e,"y","setdiff1d");s.b(n.dtype===a.dtype,()=>`x and y should have the same dtype, but got x (${n.dtype}) and y (${a.dtype}).`),s.b(1===n.rank,()=>`x should be 1D tensor, but got x (${n.shape}).`),s.b(1===a.rank,()=>`y should be 1D tensor, but got y (${a.shape}).`);const o=await n.data(),u=await a.data(),c=new Set(u);let l=0;for(let t=0;tt.sign(e),n,null,i.uc)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return o}));var r=n(5),i=n(3),s=n(1),a=n(4);const o=Object(a.b)({softmax_: /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e=-1){const n=Object(s.a)(t,"logits","softmax","float32");if(-1===e&&(e=n.rank-1),e!==n.rank-1)throw Error(`Softmax along a non-last dimension is not yet supported. 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All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e,n,a,l=0,h=0,d=0,p=0,f=0){let m=Object(s.a)(t,"x","stridedSlice");const g={x:m},b={begin:e,end:n,strides:a,beginMask:l,endMask:h,ellipsisMask:d,newAxisMask:p,shrinkAxisMask:f};return r.a.runKernelFunc(t=>{null==a&&(a=new Array(e.length));const r=Object(c.maskToAxes)(d);if(r.length>1)throw new Error("Multiple ellipses in slice is not allowed.");if(0!==d&&0!==p)throw new Error("Using both ellipsisMask and newAxisMask is not yet supported.");if(0!==d&&0!==f)throw new Error("Using both ellipsisMask and shrinkAxisMask is not yet supported.");const i=m.rank-e.length,s=Object(c.maskToAxes)(p),g=m.shape.slice();s.forEach(t=>{e[t]=0,n[t]=1,g.splice(t,0,1)}),m=Object(o.a)(m,g);const{begin:b,end:y,strides:v}=Object(c.getNormalizedAxes)(m.shape,r,i,e,n,a,l,h,d);e=b,n=y,a=v;const w=Object(c.maskToAxes)(f);w.forEach(t=>{n[t]=e[t]+1,a[t]=1});const x=Object(c.computeOutShape)(e,n,a),_=x.filter((t,e)=>-1===w.indexOf(e));if(a.every(t=>1===t))return Object(o.a)(Object(u.a)(m,e,x),_);const O=t.stridedSlice(m,e,n,a);return Object(o.a)(O,_)},g,null,i.Hc,b)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return o}));var r=n(5),i=n(3),s=n(1),a=n(4);const o=Object(a.b)({tan_: /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t){const e=Object(s.a)(t,"x","tan"),n={x:e};return r.a.runKernelFunc((t,n)=>{const r=t.tan(e);return n([e]),r},n,null,i.Kc)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return a}));var r=n(39),i=n(4),s=n(109);const a=Object(i.b)({truncatedNormal_: /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e=0,n=1,i,a){if(null!=i&&"bool"===i)throw new Error("Unsupported data type $ { dtype }");const o=new s.a(e,n,i,!0,a),u=Object(r.a)(t,i);for(let t=0;tt.scatterND(a,u,n),c,null,i.qc,l)}})},function(t,e,n){"use strict";n.d(e,"a",(function(){return o}));var r=n(5),i=n(3),s=n(1),a=n(4);const o=Object(a.b)({gatherND_: /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ function(t,e){const n=Object(s.a)(e,"indices","gatherND","int32"),a=Object(s.a)(t,"x","gatherND"),o={params:a,indices:n};return r.a.runKernelFunc(t=>t.gatherND(a,n),o,null,i.ib)}})},function(t,e,n){"use strict";(function(t){n.d(e,"a",(function(){return i})); /** * @license * Copyright 2017 Google LLC. 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All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const r=[{tfOpName:"Add",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddV2",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddN",category:"arithmetic",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"BiasAdd",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sub",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"RealDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Div",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"DivNoNan",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mul",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Maximum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}]},{tfOpName:"Minimum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}]},{tfOpName:"Pow",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SquaredDifference",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorMod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}]},function(t,e,n){"use strict";n.r(e),n.d(e,"json",(function(){return r})); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const r=[{tfOpName:"Abs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan2",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Ceil",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ClipByValue",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"clip_value_min",name:"clipValueMin",type:"number"},{tfName:"clip_value_max",name:"clipValueMax",type:"number"}]},{tfOpName:"Complex",category:"basic_math",inputs:[{start:0,name:"real",type:"tensor"},{start:1,name:"imag",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ComplexAbs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Elu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Exp",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Floor",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Imag",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Neg",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Real",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Prelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"alpha",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu6",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"clipValueMin",name:"clipValueMin",type:"number",defaultValue:0},{tfName:"clipValueMax",name:"clipValueMax",type:"number",defaultValue:6}]},{tfOpName:"Selu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sigmoid",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Rsqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Square",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sign",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Round",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Expm1",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log1p",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Reciprocal",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Softplus",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Erf",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Prod",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axes",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LeakyRelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"alpha",name:"alpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}]},function(t,e,n){"use strict";n.r(e),n.d(e,"json",(function(){return r}));const r=[{tfOpName:"LoopCond",category:"control",inputs:[{start:0,name:"pred",type:"tensor"}]},{tfOpName:"Switch",category:"control",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"pred",type:"tensor"}]},{tfOpName:"Merge",category:"control",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"Enter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"frame_name",name:"frameName",type:"string"},{tfName:"is_constant",name:"isConstant",type:"bool"}]},{tfOpName:"Exit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NextIteration",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayV3",category:"control",inputs:[{start:0,name:"size",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"dynamic_size",name:"dynamicSize",type:"bool"},{tfName:"clear_after_read",name:"clearAfterRead",type:"bool"},{tfName:"identical_element_shapes",name:"identicalElementShapes",type:"bool"},{tfName:"tensor_array_name",name:"name",type:"string"}]},{tfOpName:"TensorArrayWriteV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayReadV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayGatherV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"}]},{tfOpName:"TensorArrayScatterV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArrayConcatV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape_except0",name:"elementShapeExcept0",type:"shape",notSupported:!0}]},{tfOpName:"TensorArraySplitV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"tensor",type:"tensor"},{start:2,name:"lengths",type:"number[]"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArraySizeV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}]},{tfOpName:"TensorArrayCloseV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"}]},{tfOpName:"StatelessIf",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"If",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"StatelessWhile",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"While",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"TensorListScatter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListScatterV2",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"},{start:3,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGather",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListSetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListReserve",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListFromTensor",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListStack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"},{tfName:"num_elements",name:"numElements",type:"dtype"}]},{tfOpName:"TensorListSplit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"},{start:2,name:"lengths",type:"number[]"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcat",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPopBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPushBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]}]},function(t,e,n){"use strict";n.r(e),n.d(e,"json",(function(){return r})); /** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const r=[{tfOpName:"AvgPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPoolWithArgmax",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"include_batch_in_index",name:"includeBatchInIndex",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AvgPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Conv1D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"stride",name:"stride",type:"number"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NWC"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"dilation",name:"dilation",type:"number",defaultValue:1}]},{tfOpName:"Conv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"useCudnnOnGpu",name:"useCudnnOnGpu",type:"bool"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"_FusedConv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"use_cudnn_on_gpu",name:"useCudnnOnGpu",type:"bool",defaultValue:!0},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4}]},{tfOpName:"Conv2DBackpropInput",category:"convolution",inputs:[{start:2,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:0,name:"outputShape",type:"number[]"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]}]},{tfOpName:"DepthwiseConv2d",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"DepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"FusedDepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]}]},{tfOpName:"Conv3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"Dilation2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"rates",name:"dilations",type:"number[]"},{tfName:"padding",name:"pad",type:"string"}]}]},function(t,e,n){"use strict";n.r(e),n.d(e,"json",(function(){return r})); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const r=[{tfOpName:"Fill",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"},{start:1,name:"value",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"LinSpace",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"num",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"OneHot",category:"creation",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"depth",type:"number"},{start:2,name:"onValue",type:"number",defaultValue:1},{start:3,name:"offValue",type:"number",defaultValue:0}],attrs:[{tfName:"axis",name:"axis",type:"number",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Ones",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"OnesLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"RandomUniform",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"minval",name:"minval",type:"number",defaultValue:0},{tfName:"maxval",name:"maxval",type:"number",defaultValue:1},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Range",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"step",type:"number",defaultValue:0}],attrs:[{tfName:"Tidx",name:"dtype",type:"dtype"}]},{tfOpName:"TruncatedNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"means",name:"mean",type:"number",defaultValue:0},{tfName:"stddev",name:"stdDev",type:"number",defaultValue:1},{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Zeros",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"ZerosLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Multinomial",category:"creation",inputs:[{start:0,name:"logits",type:"tensor"},{start:1,name:"numSamples",type:"number"}],attrs:[{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number"},{tfName:"T",name:"dtype",type:"dtype"},{tfName:"output_dtype",name:"output_dtype",type:"dtype"}]}]},function(t,e,n){"use strict";n.r(e),n.d(e,"json",(function(){return r})); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const r=[{tfOpName:"NonMaxSuppressionV2",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV3",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV4",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"T_threshold",name:"threshold",type:"dtype",notSupported:!0},{tfName:"pad_to_max_output_size",name:"padToMaxOutputSize",type:"bool"}]},{tfOpName:"NonMaxSuppressionV5",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"},{start:5,name:"softNmsSigma",type:"number"}]},{tfOpName:"Where",category:"dynamic",inputs:[{start:0,name:"condition",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ListDiff",category:"dynamic",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}]},function(t,e,n){"use strict";n.r(e),n.d(e,"json",(function(){return r})); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const r=[{tfOpName:"TopKV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"k",type:"number"}],attrs:[{tfName:"sorted",name:"sorted",type:"bool"}]},{tfOpName:"Unique",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"UniqueV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]}]},function(t,e,n){"use strict";n.r(e),n.d(e,"json",(function(){return r})); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const r=[{tfOpName:"PlaceholderWithDefault",category:"graph",inputs:[{start:0,name:"default",type:"tensor"}],attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Placeholder",category:"graph",attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Const",category:"graph"},{tfOpName:"Identity",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IdentityN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Snapshot",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Rank",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Size",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Shape",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"ShapeN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Print",category:"graph",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"data",type:"tensors"}],attrs:[{tfName:"message",name:"message",type:"string"},{tfName:"first_n",name:"firstN",type:"number",notSupported:!0},{tfName:"summarize",name:"summarize",type:"number",defaultValue:3}]},{tfOpName:"NoOp",category:"graph",inputs:[]},{tfOpName:"StopGradient",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"FakeQuantWithMinMaxVars",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"min",name:"min",type:"number"},{tfName:"max",name:"max",type:"number"}]}]},function(t,e,n){"use strict";n.r(e),n.d(e,"json",(function(){return r}));const r=[{tfOpName:"HashTable",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"HashTableV2",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"LookupTableImport",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableImportV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFind",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFindV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]}]},function(t,e,n){"use strict";n.r(e),n.d(e,"json",(function(){return r})); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const r=[{tfOpName:"ResizeBilinear",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ResizeNearestNeighbor",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"CropAndResize",category:"image",inputs:[{start:0,name:"image",type:"tensor"},{start:1,name:"boxes",type:"tensor"},{start:2,name:"boxInd",type:"tensor"},{start:3,name:"cropSize",type:"number[]"}],attrs:[{tfName:"method",name:"method",type:"string"},{tfName:"extrapolation_value",name:"extrapolationValue",type:"number"}]}]},function(t,e,n){"use strict";n.r(e),n.d(e,"json",(function(){return r})); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const r=[{tfOpName:"Equal",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NotEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Greater",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"GreaterEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Less",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LessEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalAnd",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalNot",category:"logical",inputs:[{start:0,name:"a",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalOr",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Select",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SelectV2",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}]},function(t,e,n){"use strict";n.r(e),n.d(e,"json",(function(){return r})); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const r=[{tfOpName:"_FusedMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMulV2",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Transpose",category:"matrices",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"perm",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}]},function(t,e,n){"use strict";n.r(e),n.d(e,"json",(function(){return r})); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const r=[{tfOpName:"FusedBatchNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV2",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV3",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"LRN",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"depth_radius",name:"radius",type:"number",defaultValue:5},{tfName:"bias",name:"bias",type:"number",defaultValue:1},{tfName:"alpha",name:"alpha",type:"number",defaultValue:1},{tfName:"beta",name:"beta",type:"number",defaultValue:.5}]},{tfOpName:"Softmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"LogSoftmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"SparseToDense",category:"normalization",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!0,notSupported:!0}]}]},function(t,e,n){"use strict";n.r(e),n.d(e,"json",(function(){return r})); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const r=[{tfOpName:"Max",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Mean",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Min",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Sum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"All",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Any",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"ArgMax",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"ArgMin",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"Prod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Cumsum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]}]},function(t,e,n){"use strict";n.r(e),n.d(e,"json",(function(){return r})); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const r=[{tfOpName:"ConcatV2",category:"slice_join",inputs:[{start:0,end:-1,name:"tensors",type:"tensors"},{start:-1,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"Concat",category:"slice_join",inputs:[{start:1,end:0,name:"tensors",type:"tensors"},{start:0,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"GatherV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"axis",type:"number",defaultValue:0}]},{tfOpName:"Gather",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0},{tfName:"validate_indices",name:"validateIndices",type:"bool",notSupported:!0}]},{tfOpName:"Reverse",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"dims",type:"bool",notSupported:!0}]},{tfOpName:"ReverseV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}]},{tfOpName:"Slice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"size",type:"number[]"}]},{tfOpName:"StridedSlice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"end",type:"number[]"},{start:3,name:"strides",type:"number[]"}],attrs:[{tfName:"begin_mask",name:"beginMask",type:"number",defaultValue:0},{tfName:"end_mask",name:"endMask",type:"number",defaultValue:0},{tfName:"new_axis_mask",name:"newAxisMask",type:"number",defaultValue:0},{tfName:"ellipsis_mask",name:"ellipsisMask",type:"number",defaultValue:0},{tfName:"shrink_axis_mask",name:"shrinkAxisMask",type:"number",defaultValue:0}]},{tfOpName:"Pack",category:"slice_join",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0}]},{tfOpName:"Unpack",category:"slice_join",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0},{tfName:"num",name:"num",type:"number",defaultValue:0,notSupported:!0}]},{tfOpName:"Tile",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"reps",type:"number[]"}]},{tfOpName:"Split",category:"slice_join",inputs:[{start:0,name:"axis",type:"number",defaultValue:0},{start:1,name:"x",type:"tensor"}],attrs:[{tfName:"num_split",name:"numOrSizeSplits",type:"number",defaultValue:1}]},{tfOpName:"SplitV",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"numOrSizeSplits",type:"number[]"},{start:2,name:"axis",type:"number",defaultValue:0}]},{tfOpName:"ScatterNd",category:"slice_join",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"shape",type:"number[]"}]},{tfOpName:"GatherNd",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}]},{tfOpName:"SparseToDense",category:"slice_join",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!1,notSupported:!0}]}]},function(t,e,n){"use strict";n.r(e),n.d(e,"json",(function(){return r})); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const r=[{tfOpName:"FFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"RFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]},{tfOpName:"IRFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]}]},function(t,e,n){"use strict";n.r(e),n.d(e,"json",(function(){return r})); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ const r=[{tfOpName:"Cast",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"SrcT",name:"sdtype",type:"dtype",notSupported:!0},{tfName:"DstT",name:"dtype",type:"dtype"}]},{tfOpName:"ExpandDims",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"MirrorPad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"mode",name:"mode",type:"string"}]},{tfOpName:"Pad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"constant_value",name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"PadV2",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"},{start:2,name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"Reshape",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}]},{tfOpName:"Squeeze",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"axis",tfDeprecatedName:"squeeze_dims",name:"axis",type:"number[]"}]},{tfOpName:"SpaceToBatchND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"paddings",type:"number[]"}]},{tfOpName:"BatchToSpaceND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"crops",type:"number[]"}]},{tfOpName:"DepthToSpace",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"block_size",name:"blockSize",type:"number"},{tfName:"data_format",name:"dataFormat",type:"string"}]},{tfOpName:"BroadcastTo",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}],attrs:[]}]},function(t,e,n){"use strict";(function(t){n.d(e,"a",(function(){return a}));var r=n(0),i=n(43),s=n(290); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * * ============================================================================= */ class a extends i.a{decodeUTF8(){return new o(this)}}class o extends s.a{constructor(t){super(),this.upstream=t,this.impl=new u(t)}summary(){return this.impl.summary()}async next(){return this.impl.next()}}class u extends i.b{constructor(t){if(super(),this.upstream=t,Object(r.env)().get("IS_BROWSER"))this.decoder=new TextDecoder("utf-8");else{const{StringDecoder:t}=n(311);this.decoder=new t("utf8")}}summary(){return this.upstream.summary()+" -> Utf8"}async pump(){const e=await this.upstream.next();let n,i;return!e.done&&(n=e.value,i=Object(r.env)().get("IS_BROWSER")?this.decoder.decode(n,{stream:!0}):this.decoder.write(t.from(n.buffer)),this.outputQueue.push(i),!0)}}}).call(this,n(155).Buffer)},function(t,e,n){"use strict";n.d(e,"a",(function(){return i}));var r=n(43); /** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * * ============================================================================= */class i extends r.a{split(t){return new s(this,t)}}class s extends i{constructor(t,e){super(),this.upstream=t,this.impl=new a(t,e)}summary(){return this.impl.summary()}async next(){return this.impl.next()}}class a extends r.b{constructor(t,e){super(),this.upstream=t,this.separator=e,this.carryover=""}summary(){return`${this.upstream.summary()} -> Split('${this.separator}')`}async pump(){const t=await this.upstream.next();if(t.done)return""!==this.carryover&&(this.outputQueue.push(this.carryover),this.carryover="",!0);const e=t.value.split(this.separator);e[0]=this.carryover+e[0];for(const t of e.slice(0,-1))this.outputQueue.push(t);return this.carryover=e[e.length-1],!0}}},function(t){t.exports=JSON.parse('{"chromatic":["1P 2m 2M 3m 3M 4P 4A 5P 6m 6M 7m 7M"],"lydian":["1P 2M 3M 4A 5P 6M 7M"],"major":["1P 2M 3M 4P 5P 6M 7M",["ionian"]],"mixolydian":["1P 2M 3M 4P 5P 6M 7m",["dominant"]],"dorian":["1P 2M 3m 4P 5P 6M 7m"],"aeolian":["1P 2M 3m 4P 5P 6m 7m",["minor"]],"phrygian":["1P 2m 3m 4P 5P 6m 7m"],"locrian":["1P 2m 3m 4P 5d 6m 7m"],"melodic minor":["1P 2M 3m 4P 5P 6M 7M"],"melodic minor second mode":["1P 2m 3m 4P 5P 6M 7m"],"lydian augmented":["1P 2M 3M 4A 5A 6M 7M"],"lydian dominant":["1P 2M 3M 4A 5P 6M 7m",["lydian b7"]],"melodic minor fifth mode":["1P 2M 3M 4P 5P 6m 7m",["hindu","mixolydian b6M"]],"locrian #2":["1P 2M 3m 4P 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t.referenceNumber?n.referenceNumber=e.longs===String?String(t.referenceNumber):t.referenceNumber:n.referenceNumber=e.longs===String?u.Long.prototype.toString.call(t.referenceNumber):e.longs===Number?new u.LongBits(t.referenceNumber.low>>>0,t.referenceNumber.high>>>0).toNumber():t.referenceNumber),null!=t.sequenceMetadata&&t.hasOwnProperty("sequenceMetadata")&&(n.sequenceMetadata=c.tensorflow.magenta.SequenceMetadata.toObject(t.sequenceMetadata,e)),t.sectionAnnotations&&t.sectionAnnotations.length)for(n.sectionAnnotations=[],i=0;i>>3){case 1:r.pitch=t.int32();break;case 11:r.pitchName=t.int32();break;case 2:r.velocity=t.int32();break;case 3:r.startTime=t.double();break;case 13:r.quantizedStartStep=u.Long?t.int64().toNumber():t.int64();break;case 4:r.endTime=t.double();break;case 14:r.quantizedEndStep=u.Long?t.int64().toNumber():t.int64();break;case 5:r.numerator=t.int32();break;case 6:r.denominator=t.int32();break;case 7:r.instrument=t.int32();break;case 8:r.program=t.int32();break;case 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expected":null!=t.quantizedStartStep&&t.hasOwnProperty("quantizedStartStep")&&!(u.isInteger(t.quantizedStartStep)||t.quantizedStartStep&&u.isInteger(t.quantizedStartStep.low)&&u.isInteger(t.quantizedStartStep.high))?"quantizedStartStep: integer|Long expected":null!=t.endTime&&t.hasOwnProperty("endTime")&&"number"!=typeof t.endTime?"endTime: number expected":null!=t.quantizedEndStep&&t.hasOwnProperty("quantizedEndStep")&&!(u.isInteger(t.quantizedEndStep)||t.quantizedEndStep&&u.isInteger(t.quantizedEndStep.low)&&u.isInteger(t.quantizedEndStep.high))?"quantizedEndStep: integer|Long expected":null!=t.numerator&&t.hasOwnProperty("numerator")&&!u.isInteger(t.numerator)?"numerator: integer expected":null!=t.denominator&&t.hasOwnProperty("denominator")&&!u.isInteger(t.denominator)?"denominator: integer expected":null!=t.instrument&&t.hasOwnProperty("instrument")&&!u.isInteger(t.instrument)?"instrument: integer expected":null!=t.program&&t.hasOwnProperty("program")&&!u.isInteger(t.program)?"program: integer expected":null!=t.isDrum&&t.hasOwnProperty("isDrum")&&"boolean"!=typeof t.isDrum?"isDrum: boolean expected":null!=t.part&&t.hasOwnProperty("part")&&!u.isInteger(t.part)?"part: integer expected":null!=t.voice&&t.hasOwnProperty("voice")&&!u.isInteger(t.voice)?"voice: integer expected":null},t.fromObject=function(t){if(t instanceof c.tensorflow.magenta.NoteSequence.Note)return t;var e=new c.tensorflow.magenta.NoteSequence.Note;switch(null!=t.pitch&&(e.pitch=0|t.pitch),t.pitchName){case"UNKNOWN_PITCH_NAME":case 0:e.pitchName=0;break;case"F_FLAT_FLAT":case 1:e.pitchName=1;break;case"C_FLAT_FLAT":case 2:e.pitchName=2;break;case"G_FLAT_FLAT":case 3:e.pitchName=3;break;case"D_FLAT_FLAT":case 4:e.pitchName=4;break;case"A_FLAT_FLAT":case 5:e.pitchName=5;break;case"E_FLAT_FLAT":case 6:e.pitchName=6;break;case"B_FLAT_FLAT":case 7:e.pitchName=7;break;case"F_FLAT":case 8:e.pitchName=8;break;case"C_FLAT":case 9:e.pitchName=9;break;case"G_FLAT":case 10:e.pitchName=10;break;case"D_FLAT":case 11:e.pitchName=11;break;case"A_FLAT":case 12:e.pitchName=12;break;case"E_FLAT":case 13:e.pitchName=13;break;case"B_FLAT":case 14:e.pitchName=14;break;case"F":case 15:e.pitchName=15;break;case"C":case 16:e.pitchName=16;break;case"G":case 17:e.pitchName=17;break;case"D":case 18:e.pitchName=18;break;case"A":case 19:e.pitchName=19;break;case"E":case 20:e.pitchName=20;break;case"B":case 21:e.pitchName=21;break;case"F_SHARP":case 22:e.pitchName=22;break;case"C_SHARP":case 23:e.pitchName=23;break;case"G_SHARP":case 24:e.pitchName=24;break;case"D_SHARP":case 25:e.pitchName=25;break;case"A_SHARP":case 26:e.pitchName=26;break;case"E_SHARP":case 27:e.pitchName=27;break;case"B_SHARP":case 28:e.pitchName=28;break;case"F_SHARP_SHARP":case 29:e.pitchName=29;break;case"C_SHARP_SHARP":case 30:e.pitchName=30;break;case"G_SHARP_SHARP":case 31:e.pitchName=31;break;case"D_SHARP_SHARP":case 32:e.pitchName=32;break;case"A_SHARP_SHARP":case 33:e.pitchName=33;break;case"E_SHARP_SHARP":case 34:e.pitchName=34;break;case"B_SHARP_SHARP":case 35:e.pitchName=35}return null!=t.velocity&&(e.velocity=0|t.velocity),null!=t.startTime&&(e.startTime=Number(t.startTime)),null!=t.quantizedStartStep&&(u.Long?(e.quantizedStartStep=u.Long.fromValue(t.quantizedStartStep)).unsigned=!1:"string"==typeof t.quantizedStartStep?e.quantizedStartStep=parseInt(t.quantizedStartStep,10):"number"==typeof t.quantizedStartStep?e.quantizedStartStep=t.quantizedStartStep:"object"==typeof t.quantizedStartStep&&(e.quantizedStartStep=new u.LongBits(t.quantizedStartStep.low>>>0,t.quantizedStartStep.high>>>0).toNumber())),null!=t.endTime&&(e.endTime=Number(t.endTime)),null!=t.quantizedEndStep&&(u.Long?(e.quantizedEndStep=u.Long.fromValue(t.quantizedEndStep)).unsigned=!1:"string"==typeof t.quantizedEndStep?e.quantizedEndStep=parseInt(t.quantizedEndStep,10):"number"==typeof t.quantizedEndStep?e.quantizedEndStep=t.quantizedEndStep:"object"==typeof t.quantizedEndStep&&(e.quantizedEndStep=new u.LongBits(t.quantizedEndStep.low>>>0,t.quantizedEndStep.high>>>0).toNumber())),null!=t.numerator&&(e.numerator=0|t.numerator),null!=t.denominator&&(e.denominator=0|t.denominator),null!=t.instrument&&(e.instrument=0|t.instrument),null!=t.program&&(e.program=0|t.program),null!=t.isDrum&&(e.isDrum=Boolean(t.isDrum)),null!=t.part&&(e.part=0|t.part),null!=t.voice&&(e.voice=0|t.voice),e},t.toObject=function(t,e){e||(e={});var n={};if(e.defaults){if(n.pitch=0,n.velocity=0,n.startTime=0,n.endTime=0,n.numerator=0,n.denominator=0,n.instrument=0,n.program=0,n.isDrum=!1,n.part=0,n.pitchName=e.enums===String?"UNKNOWN_PITCH_NAME":0,n.voice=0,u.Long){var r=new u.Long(0,0,!1);n.quantizedStartStep=e.longs===String?r.toString():e.longs===Number?r.toNumber():r}else 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null!=t.pitch&&t.hasOwnProperty("pitch")&&(n.pitch=t.pitch),null!=t.velocity&&t.hasOwnProperty("velocity")&&(n.velocity=t.velocity),null!=t.startTime&&t.hasOwnProperty("startTime")&&(n.startTime=e.json&&!isFinite(t.startTime)?String(t.startTime):t.startTime),null!=t.endTime&&t.hasOwnProperty("endTime")&&(n.endTime=e.json&&!isFinite(t.endTime)?String(t.endTime):t.endTime),null!=t.numerator&&t.hasOwnProperty("numerator")&&(n.numerator=t.numerator),null!=t.denominator&&t.hasOwnProperty("denominator")&&(n.denominator=t.denominator),null!=t.instrument&&t.hasOwnProperty("instrument")&&(n.instrument=t.instrument),null!=t.program&&t.hasOwnProperty("program")&&(n.program=t.program),null!=t.isDrum&&t.hasOwnProperty("isDrum")&&(n.isDrum=t.isDrum),null!=t.part&&t.hasOwnProperty("part")&&(n.part=t.part),null!=t.pitchName&&t.hasOwnProperty("pitchName")&&(n.pitchName=e.enums===String?c.tensorflow.magenta.NoteSequence.PitchName[t.pitchName]:t.pitchName),null!=t.voice&&t.hasOwnProperty("voice")&&(n.voice=t.voice),null!=t.quantizedStartStep&&t.hasOwnProperty("quantizedStartStep")&&("number"==typeof t.quantizedStartStep?n.quantizedStartStep=e.longs===String?String(t.quantizedStartStep):t.quantizedStartStep:n.quantizedStartStep=e.longs===String?u.Long.prototype.toString.call(t.quantizedStartStep):e.longs===Number?new u.LongBits(t.quantizedStartStep.low>>>0,t.quantizedStartStep.high>>>0).toNumber():t.quantizedStartStep),null!=t.quantizedEndStep&&t.hasOwnProperty("quantizedEndStep")&&("number"==typeof t.quantizedEndStep?n.quantizedEndStep=e.longs===String?String(t.quantizedEndStep):t.quantizedEndStep:n.quantizedEndStep=e.longs===String?u.Long.prototype.toString.call(t.quantizedEndStep):e.longs===Number?new u.LongBits(t.quantizedEndStep.low>>>0,t.quantizedEndStep.high>>>0).toNumber():t.quantizedEndStep),n},t.prototype.toJSON=function(){return this.constructor.toObject(this,s.util.toJSONOptions)},t}(),t.PitchName=(e={},(n=Object.create(e))[e[0]="UNKNOWN_PITCH_NAME"]=0,n[e[1]="F_FLAT_FLAT"]=1,n[e[2]="C_FLAT_FLAT"]=2,n[e[3]="G_FLAT_FLAT"]=3,n[e[4]="D_FLAT_FLAT"]=4,n[e[5]="A_FLAT_FLAT"]=5,n[e[6]="E_FLAT_FLAT"]=6,n[e[7]="B_FLAT_FLAT"]=7,n[e[8]="F_FLAT"]=8,n[e[9]="C_FLAT"]=9,n[e[10]="G_FLAT"]=10,n[e[11]="D_FLAT"]=11,n[e[12]="A_FLAT"]=12,n[e[13]="E_FLAT"]=13,n[e[14]="B_FLAT"]=14,n[e[15]="F"]=15,n[e[16]="C"]=16,n[e[17]="G"]=17,n[e[18]="D"]=18,n[e[19]="A"]=19,n[e[20]="E"]=20,n[e[21]="B"]=21,n[e[22]="F_SHARP"]=22,n[e[23]="C_SHARP"]=23,n[e[24]="G_SHARP"]=24,n[e[25]="D_SHARP"]=25,n[e[26]="A_SHARP"]=26,n[e[27]="E_SHARP"]=27,n[e[28]="B_SHARP"]=28,n[e[29]="F_SHARP_SHARP"]=29,n[e[30]="C_SHARP_SHARP"]=30,n[e[31]="G_SHARP_SHARP"]=31,n[e[32]="D_SHARP_SHARP"]=32,n[e[33]="A_SHARP_SHARP"]=33,n[e[34]="E_SHARP_SHARP"]=34,n[e[35]="B_SHARP_SHARP"]=35,n),t.TimeSignature=function(){function t(t){if(t)for(var e=Object.keys(t),n=0;n>>3){case 1:r.time=t.double();break;case 2:r.numerator=t.int32();break;case 3:r.denominator=t.int32();break;default:t.skipType(7&i)}}return r},t.decodeDelimited=function(t){return t instanceof a||(t=new a(t)),this.decode(t,t.uint32())},t.verify=function(t){return"object"!=typeof t||null===t?"object expected":null!=t.time&&t.hasOwnProperty("time")&&"number"!=typeof t.time?"time: number expected":null!=t.numerator&&t.hasOwnProperty("numerator")&&!u.isInteger(t.numerator)?"numerator: integer expected":null!=t.denominator&&t.hasOwnProperty("denominator")&&!u.isInteger(t.denominator)?"denominator: integer expected":null},t.fromObject=function(t){if(t instanceof c.tensorflow.magenta.NoteSequence.TimeSignature)return t;var e=new c.tensorflow.magenta.NoteSequence.TimeSignature;return null!=t.time&&(e.time=Number(t.time)),null!=t.numerator&&(e.numerator=0|t.numerator),null!=t.denominator&&(e.denominator=0|t.denominator),e},t.toObject=function(t,e){e||(e={});var n={};return e.defaults&&(n.time=0,n.numerator=0,n.denominator=0),null!=t.time&&t.hasOwnProperty("time")&&(n.time=e.json&&!isFinite(t.time)?String(t.time):t.time),null!=t.numerator&&t.hasOwnProperty("numerator")&&(n.numerator=t.numerator),null!=t.denominator&&t.hasOwnProperty("denominator")&&(n.denominator=t.denominator),n},t.prototype.toJSON=function(){return this.constructor.toObject(this,s.util.toJSONOptions)},t}(),t.KeySignature=function(){function t(t){if(t)for(var e=Object.keys(t),n=0;n>>3){case 1:r.time=t.double();break;case 2:r.key=t.int32();break;case 3:r.mode=t.int32();break;default:t.skipType(7&i)}}return r},t.decodeDelimited=function(t){return t instanceof a||(t=new a(t)),this.decode(t,t.uint32())},t.verify=function(t){if("object"!=typeof t||null===t)return"object expected";if(null!=t.time&&t.hasOwnProperty("time")&&"number"!=typeof t.time)return"time: number expected";if(null!=t.key&&t.hasOwnProperty("key"))switch(t.key){default:return"key: enum value expected";case 0:case 1:case 1:case 2:case 3:case 3:case 4:case 5:case 6:case 6:case 7:case 8:case 8:case 9:case 10:case 10:case 11:}if(null!=t.mode&&t.hasOwnProperty("mode"))switch(t.mode){default:return"mode: enum value expected";case 0:case 1:case 2:case 3:case 4:case 5:case 6:case 7:}return null},t.fromObject=function(t){if(t instanceof c.tensorflow.magenta.NoteSequence.KeySignature)return t;var e=new c.tensorflow.magenta.NoteSequence.KeySignature;switch(null!=t.time&&(e.time=Number(t.time)),t.key){case"C":case 0:e.key=0;break;case"C_SHARP":case 1:e.key=1;break;case"D_FLAT":case 1:e.key=1;break;case"D":case 2:e.key=2;break;case"D_SHARP":case 3:e.key=3;break;case"E_FLAT":case 3:e.key=3;break;case"E":case 4:e.key=4;break;case"F":case 5:e.key=5;break;case"F_SHARP":case 6:e.key=6;break;case"G_FLAT":case 6:e.key=6;break;case"G":case 7:e.key=7;break;case"G_SHARP":case 8:e.key=8;break;case"A_FLAT":case 8:e.key=8;break;case"A":case 9:e.key=9;break;case"A_SHARP":case 10:e.key=10;break;case"B_FLAT":case 10:e.key=10;break;case"B":case 11:e.key=11}switch(t.mode){case"MAJOR":case 0:e.mode=0;break;case"MINOR":case 1:e.mode=1;break;case"NOT_SPECIFIED":case 2:e.mode=2;break;case"MIXOLYDIAN":case 3:e.mode=3;break;case"DORIAN":case 4:e.mode=4;break;case"PHRYGIAN":case 5:e.mode=5;break;case"LYDIAN":case 6:e.mode=6;break;case"LOCRIAN":case 7:e.mode=7}return e},t.toObject=function(t,e){e||(e={});var n={};return e.defaults&&(n.time=0,n.key=e.enums===String?"C":0,n.mode=e.enums===String?"MAJOR":0),null!=t.time&&t.hasOwnProperty("time")&&(n.time=e.json&&!isFinite(t.time)?String(t.time):t.time),null!=t.key&&t.hasOwnProperty("key")&&(n.key=e.enums===String?c.tensorflow.magenta.NoteSequence.KeySignature.Key[t.key]:t.key),null!=t.mode&&t.hasOwnProperty("mode")&&(n.mode=e.enums===String?c.tensorflow.magenta.NoteSequence.KeySignature.Mode[t.mode]:t.mode),n},t.prototype.toJSON=function(){return this.constructor.toObject(this,s.util.toJSONOptions)},t.Key=function(){var t={},e=Object.create(t);return 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expected":null},t.fromObject=function(t){if(t instanceof c.tensorflow.magenta.NoteSequence.Tempo)return t;var e=new c.tensorflow.magenta.NoteSequence.Tempo;return null!=t.time&&(e.time=Number(t.time)),null!=t.qpm&&(e.qpm=Number(t.qpm)),e},t.toObject=function(t,e){e||(e={});var n={};return e.defaults&&(n.time=0,n.qpm=0),null!=t.time&&t.hasOwnProperty("time")&&(n.time=e.json&&!isFinite(t.time)?String(t.time):t.time),null!=t.qpm&&t.hasOwnProperty("qpm")&&(n.qpm=e.json&&!isFinite(t.qpm)?String(t.qpm):t.qpm),n},t.prototype.toJSON=function(){return this.constructor.toObject(this,s.util.toJSONOptions)},t}(),t.PitchBend=function(){function t(t){if(t)for(var e=Object.keys(t),n=0;n>>3){case 1:r.time=t.double();break;case 2:r.bend=t.int32();break;case 3:r.instrument=t.int32();break;case 4:r.program=t.int32();break;case 5:r.isDrum=t.bool();break;default:t.skipType(7&i)}}return r},t.decodeDelimited=function(t){return t instanceof a||(t=new a(t)),this.decode(t,t.uint32())},t.verify=function(t){return"object"!=typeof t||null===t?"object expected":null!=t.time&&t.hasOwnProperty("time")&&"number"!=typeof t.time?"time: number expected":null!=t.bend&&t.hasOwnProperty("bend")&&!u.isInteger(t.bend)?"bend: integer expected":null!=t.instrument&&t.hasOwnProperty("instrument")&&!u.isInteger(t.instrument)?"instrument: integer expected":null!=t.program&&t.hasOwnProperty("program")&&!u.isInteger(t.program)?"program: integer expected":null!=t.isDrum&&t.hasOwnProperty("isDrum")&&"boolean"!=typeof t.isDrum?"isDrum: boolean expected":null},t.fromObject=function(t){if(t instanceof c.tensorflow.magenta.NoteSequence.PitchBend)return t;var e=new c.tensorflow.magenta.NoteSequence.PitchBend;return null!=t.time&&(e.time=Number(t.time)),null!=t.bend&&(e.bend=0|t.bend),null!=t.instrument&&(e.instrument=0|t.instrument),null!=t.program&&(e.program=0|t.program),null!=t.isDrum&&(e.isDrum=Boolean(t.isDrum)),e},t.toObject=function(t,e){e||(e={});var n={};return e.defaults&&(n.time=0,n.bend=0,n.instrument=0,n.program=0,n.isDrum=!1),null!=t.time&&t.hasOwnProperty("time")&&(n.time=e.json&&!isFinite(t.time)?String(t.time):t.time),null!=t.bend&&t.hasOwnProperty("bend")&&(n.bend=t.bend),null!=t.instrument&&t.hasOwnProperty("instrument")&&(n.instrument=t.instrument),null!=t.program&&t.hasOwnProperty("program")&&(n.program=t.program),null!=t.isDrum&&t.hasOwnProperty("isDrum")&&(n.isDrum=t.isDrum),n},t.prototype.toJSON=function(){return this.constructor.toObject(this,s.util.toJSONOptions)},t}(),t.ControlChange=function(){function t(t){if(t)for(var e=Object.keys(t),n=0;n>>3){case 1:r.time=t.double();break;case 7:r.quantizedStep=u.Long?t.int64().toNumber():t.int64();break;case 2:r.controlNumber=t.int32();break;case 3:r.controlValue=t.int32();break;case 4:r.instrument=t.int32();break;case 5:r.program=t.int32();break;case 6:r.isDrum=t.bool();break;default:t.skipType(7&i)}}return r},t.decodeDelimited=function(t){return t instanceof a||(t=new a(t)),this.decode(t,t.uint32())},t.verify=function(t){return"object"!=typeof t||null===t?"object expected":null!=t.time&&t.hasOwnProperty("time")&&"number"!=typeof t.time?"time: number expected":null!=t.quantizedStep&&t.hasOwnProperty("quantizedStep")&&!(u.isInteger(t.quantizedStep)||t.quantizedStep&&u.isInteger(t.quantizedStep.low)&&u.isInteger(t.quantizedStep.high))?"quantizedStep: integer|Long expected":null!=t.controlNumber&&t.hasOwnProperty("controlNumber")&&!u.isInteger(t.controlNumber)?"controlNumber: integer expected":null!=t.controlValue&&t.hasOwnProperty("controlValue")&&!u.isInteger(t.controlValue)?"controlValue: integer expected":null!=t.instrument&&t.hasOwnProperty("instrument")&&!u.isInteger(t.instrument)?"instrument: integer expected":null!=t.program&&t.hasOwnProperty("program")&&!u.isInteger(t.program)?"program: integer expected":null!=t.isDrum&&t.hasOwnProperty("isDrum")&&"boolean"!=typeof t.isDrum?"isDrum: boolean expected":null},t.fromObject=function(t){if(t instanceof c.tensorflow.magenta.NoteSequence.ControlChange)return t;var e=new c.tensorflow.magenta.NoteSequence.ControlChange;return null!=t.time&&(e.time=Number(t.time)),null!=t.quantizedStep&&(u.Long?(e.quantizedStep=u.Long.fromValue(t.quantizedStep)).unsigned=!1:"string"==typeof t.quantizedStep?e.quantizedStep=parseInt(t.quantizedStep,10):"number"==typeof t.quantizedStep?e.quantizedStep=t.quantizedStep:"object"==typeof t.quantizedStep&&(e.quantizedStep=new u.LongBits(t.quantizedStep.low>>>0,t.quantizedStep.high>>>0).toNumber())),null!=t.controlNumber&&(e.controlNumber=0|t.controlNumber),null!=t.controlValue&&(e.controlValue=0|t.controlValue),null!=t.instrument&&(e.instrument=0|t.instrument),null!=t.program&&(e.program=0|t.program),null!=t.isDrum&&(e.isDrum=Boolean(t.isDrum)),e},t.toObject=function(t,e){e||(e={});var n={};if(e.defaults)if(n.time=0,n.controlNumber=0,n.controlValue=0,n.instrument=0,n.program=0,n.isDrum=!1,u.Long){var r=new u.Long(0,0,!1);n.quantizedStep=e.longs===String?r.toString():e.longs===Number?r.toNumber():r}else n.quantizedStep=e.longs===String?"0":0;return null!=t.time&&t.hasOwnProperty("time")&&(n.time=e.json&&!isFinite(t.time)?String(t.time):t.time),null!=t.controlNumber&&t.hasOwnProperty("controlNumber")&&(n.controlNumber=t.controlNumber),null!=t.controlValue&&t.hasOwnProperty("controlValue")&&(n.controlValue=t.controlValue),null!=t.instrument&&t.hasOwnProperty("instrument")&&(n.instrument=t.instrument),null!=t.program&&t.hasOwnProperty("program")&&(n.program=t.program),null!=t.isDrum&&t.hasOwnProperty("isDrum")&&(n.isDrum=t.isDrum),null!=t.quantizedStep&&t.hasOwnProperty("quantizedStep")&&("number"==typeof t.quantizedStep?n.quantizedStep=e.longs===String?String(t.quantizedStep):t.quantizedStep:n.quantizedStep=e.longs===String?u.Long.prototype.toString.call(t.quantizedStep):e.longs===Number?new u.LongBits(t.quantizedStep.low>>>0,t.quantizedStep.high>>>0).toNumber():t.quantizedStep),n},t.prototype.toJSON=function(){return this.constructor.toObject(this,s.util.toJSONOptions)},t}(),t.PartInfo=function(){function t(t){if(t)for(var e=Object.keys(t),n=0;n>>3){case 1:r.part=t.int32();break;case 2:r.name=t.string();break;default:t.skipType(7&i)}}return r},t.decodeDelimited=function(t){return t instanceof a||(t=new a(t)),this.decode(t,t.uint32())},t.verify=function(t){return"object"!=typeof t||null===t?"object expected":null!=t.part&&t.hasOwnProperty("part")&&!u.isInteger(t.part)?"part: integer expected":null!=t.name&&t.hasOwnProperty("name")&&!u.isString(t.name)?"name: string expected":null},t.fromObject=function(t){if(t instanceof c.tensorflow.magenta.NoteSequence.PartInfo)return t;var e=new c.tensorflow.magenta.NoteSequence.PartInfo;return null!=t.part&&(e.part=0|t.part),null!=t.name&&(e.name=String(t.name)),e},t.toObject=function(t,e){e||(e={});var n={};return e.defaults&&(n.part=0,n.name=""),null!=t.part&&t.hasOwnProperty("part")&&(n.part=t.part),null!=t.name&&t.hasOwnProperty("name")&&(n.name=t.name),n},t.prototype.toJSON=function(){return this.constructor.toObject(this,s.util.toJSONOptions)},t}(),t.SourceInfo=function(){function t(t){if(t)for(var e=Object.keys(t),n=0;n>>3){case 1:r.sourceType=t.int32();break;case 2:r.encodingType=t.int32();break;case 3:r.parser=t.int32();break;default:t.skipType(7&i)}}return r},t.decodeDelimited=function(t){return t instanceof a||(t=new a(t)),this.decode(t,t.uint32())},t.verify=function(t){if("object"!=typeof t||null===t)return"object expected";if(null!=t.sourceType&&t.hasOwnProperty("sourceType"))switch(t.sourceType){default:return"sourceType: enum value expected";case 0:case 1:case 2:}if(null!=t.encodingType&&t.hasOwnProperty("encodingType"))switch(t.encodingType){default:return"encodingType: enum value expected";case 0:case 1:case 2:case 3:case 4:}if(null!=t.parser&&t.hasOwnProperty("parser"))switch(t.parser){default:return"parser: enum value expected";case 0:case 1:case 2:case 3:case 4:case 5:case 6:}return null},t.fromObject=function(t){if(t instanceof c.tensorflow.magenta.NoteSequence.SourceInfo)return t;var e=new c.tensorflow.magenta.NoteSequence.SourceInfo;switch(t.sourceType){case"UNKNOWN_SOURCE_TYPE":case 0:e.sourceType=0;break;case"SCORE_BASED":case 1:e.sourceType=1;break;case"PERFORMANCE_BASED":case 2:e.sourceType=2}switch(t.encodingType){case"UNKNOWN_ENCODING_TYPE":case 0:e.encodingType=0;break;case"MUSIC_XML":case 1:e.encodingType=1;break;case"ABC":case 2:e.encodingType=2;break;case"MIDI":case 3:e.encodingType=3;break;case"MUSICNET":case 4:e.encodingType=4}switch(t.parser){case"UNKNOWN_PARSER":case 0:e.parser=0;break;case"MUSIC21":case 1:e.parser=1;break;case"PRETTY_MIDI":case 2:e.parser=2;break;case"MAGENTA_MUSIC_XML":case 3:e.parser=3;break;case"MAGENTA_MUSICNET":case 4:e.parser=4;break;case"MAGENTA_ABC":case 5:e.parser=5;break;case"TONEJS_MIDI_CONVERT":case 6:e.parser=6}return e},t.toObject=function(t,e){e||(e={});var n={};return e.defaults&&(n.sourceType=e.enums===String?"UNKNOWN_SOURCE_TYPE":0,n.encodingType=e.enums===String?"UNKNOWN_ENCODING_TYPE":0,n.parser=e.enums===String?"UNKNOWN_PARSER":0),null!=t.sourceType&&t.hasOwnProperty("sourceType")&&(n.sourceType=e.enums===String?c.tensorflow.magenta.NoteSequence.SourceInfo.SourceType[t.sourceType]:t.sourceType),null!=t.encodingType&&t.hasOwnProperty("encodingType")&&(n.encodingType=e.enums===String?c.tensorflow.magenta.NoteSequence.SourceInfo.EncodingType[t.encodingType]:t.encodingType),null!=t.parser&&t.hasOwnProperty("parser")&&(n.parser=e.enums===String?c.tensorflow.magenta.NoteSequence.SourceInfo.Parser[t.parser]:t.parser),n},t.prototype.toJSON=function(){return this.constructor.toObject(this,s.util.toJSONOptions)},t.SourceType=function(){var t={},e=Object.create(t);return 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o.get(this).ticksToMeasures(this.ticks)},enumerable:!0,configurable:!0}),t.prototype.toJSON=function(){return{duration:this.duration,durationTicks:this.durationTicks,midi:this.midi,name:this.name,ticks:this.ticks,time:this.time,velocity:this.velocity}},t}();e.Note=u},function(t,e,n){"use strict";var r,i=this&&this.__extends||(r=function(t,e){return(r=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var n in e)e.hasOwnProperty(n)&&(t[n]=e[n])})(t,e)},function(t,e){function n(){this.constructor=t}r(t,e),t.prototype=null===e?Object.create(e):(n.prototype=e.prototype,new n)}),s=this&&this.__awaiter||function(t,e,n,r){return new(n||(n=Promise))((function(i,s){function a(t){try{u(r.next(t))}catch(t){s(t)}}function o(t){try{u(r.throw(t))}catch(t){s(t)}}function u(t){var e;t.done?i(t.value):(e=t.value,e instanceof n?e:new n((function(t){t(e)}))).then(a,o)}u((r=r.apply(t,e||[])).next())}))},a=this&&this.__generator||function(t,e){var 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sequence.");var s=new o.Part((function(t,e){r.currentPart===s&&(r.playNote(t,e),r.callbackObject&&o.Draw.schedule((function(){r.callbackObject.run(e,t)}),t))}),t.notes.map((function(t){return[t.startTime,t]})));return this.currentPart=s,this.desiredQPM&&(o.Transport.bpm.value=this.desiredQPM),this.currentPart.start(void 0,n),"started"!==o.Transport.state&&o.Transport.start(),new Promise((function(e){r.scheduledStop=o.Transport.schedule((function(){r.stop(),e(),r.callbackObject&&r.callbackObject.stop()}),"+"+t.totalTime)}))},t.prototype.stop=function(){this.isPlaying()&&(this.currentPart.stop(),o.Transport.stop(),this.currentPart=null),o.Transport.clear(this.scheduledStop),this.scheduledStop=void 0,this.desiredQPM=void 0},t.prototype.pause=function(){if(!this.isPlaying())throw new Error("Cannot pause playback while the player is stopped.");o.Transport.pause()},t.prototype.resume=function(){if("paused"!==this.getPlayState())throw new Error('Cannot resume playback while "'+this.getPlayState()+'".');o.Transport.start()},t.prototype.seekTo=function(t){if(!this.isPlaying())throw new Error("Cannot seek while the player is stopped.");o.Transport.seconds=t},t.prototype.isPlaying=function(){return!!this.currentPart},t.prototype.getPlayState=function(){return this.isPlaying()?o.Transport.state:"stopped"},t}();e.BasePlayer=m;var g=function(){function t(){var t=this;this.DRUM_PITCH_TO_CLASS=new Map,this.kick=(new o.MembraneSynth).toDestination(),this.tomLow=new o.MembraneSynth({pitchDecay:.008,envelope:{attack:.01,decay:.5,sustain:0}}).toDestination(),this.tomMid=new o.MembraneSynth({pitchDecay:.008,envelope:{attack:.01,decay:.5,sustain:0}}).toDestination(),this.tomHigh=new o.MembraneSynth({pitchDecay:.008,envelope:{attack:.01,decay:.5,sustain:0}}).toDestination(),this.closedHihat=new o.MetalSynth({frequency:400,envelope:{attack:.001,decay:.1,release:.8},harmonicity:5.1,modulationIndex:32,resonance:4e3,octaves:1}).toDestination(),this.openHihat=new o.MetalSynth({frequency:400,envelope:{attack:.001,decay:.5,release:.8,sustain:1},harmonicity:5.1,modulationIndex:32,resonance:4e3,octaves:1}).toDestination(),this.ride=(new o.MetalSynth).toDestination(),this.crash=new o.MetalSynth({frequency:300,envelope:{attack:.001,decay:1,release:3},harmonicity:5.1,modulationIndex:64,resonance:4e3,octaves:1.5}).toDestination(),this.snare=new o.NoiseSynth({noise:{type:"white"},envelope:{attack:.005,decay:.05,sustain:.1,release:.4}}).toDestination(),this.loClick=new o.MembraneSynth({pitchDecay:.008,envelope:{attack:.001,decay:.3,sustain:0}}).toDestination(),this.hiClick=new o.MembraneSynth({pitchDecay:.008,envelope:{attack:.001,decay:.3,sustain:0}}).toDestination(),this.pitchPlayers=[function(e,n){return void 0===n&&(n=1),t.kick.triggerAttackRelease("C2","8n",e,n)},function(e,n){return void 0===n&&(n=1),t.snare.triggerAttackRelease("16n",e,n)},function(e,n){return void 0===n&&(n=1),t.closedHihat.triggerAttack(e,.3,n)},function(e,n){return void 0===n&&(n=1),t.openHihat.triggerAttack(e,.3,n)},function(e,n){return void 0===n&&(n=.5),t.tomLow.triggerAttack("G3",e,n)},function(e,n){return void 0===n&&(n=.5),t.tomMid.triggerAttack("C4",e,n)},function(e,n){return void 0===n&&(n=.5),t.tomHigh.triggerAttack("F4",e,n)},function(e,n){return void 0===n&&(n=1),t.crash.triggerAttack(e,1,n)},function(e,n){return void 0===n&&(n=1),t.ride.triggerAttack(e,.5,n)},function(e,n){return void 0===n&&(n=.5),t.loClick.triggerAttack("G5",e,n)},function(e,n){return void 0===n&&(n=.5),t.hiClick.triggerAttack("C6",e,n)}];for(var e=function(e){l.DEFAULT_DRUM_PITCH_CLASSES[e].forEach((function(n){t.DRUM_PITCH_TO_CLASS.set(n,e)}))},n=0;n=32&&e<=39?this.bassSynth:this.polySynth},e.tone=o,e}(m);e.Player=b;var y=function(t){function e(e,n,r,i,s){void 0===n&&(n=o.Master);var a=t.call(this,!1,s)||this;return a.soundFont=new h.SoundFont(e),a.output=n,a.programOutputs=r,a.drumOutputs=i,a}return i(e,t),e.prototype.loadSamples=function(t){return s(this,void 0,void 0,(function(){return a(this,(function(e){switch(e.label){case 0:return[4,this.soundFont.loadSamples(t.notes.map((function(t){return{pitch:t.pitch,velocity:t.velocity,program:t.program||0,isDrum:t.isDrum||!1}})))];case 1:return e.sent(),[2]}}))}))},e.prototype.loadAllSamples=function(t,e){return void 0===t&&(t=0),void 0===e&&(e=!1),s(this,void 0,void 0,(function(){var n,r,i,s,o;return a(this,(function(a){for(n=c.NoteSequence.create(),r=e?l.MIN_DRUM_PITCH:l.MIN_PIANO_PITCH,i=e?l.MAX_DRUM_PITCH:l.MAX_PIANO_PITCH,s=r;s<=i;s++)for(o=l.MIN_MIDI_VELOCITY;o0&&i[i.length-1])||6!==s[0]&&2!==s[0])){a=0;continue}if(3===s[0]&&(!i||s[1]>i[0]&&s[1]a.maxPitch)||(u.log("Pitch "+t.pitch+" is outside the valid range for "+a.name+", ignoring.","SoundFont"),!1)})).map((function(t){return a.sampleInfoToName({pitch:t.pitch,velocity:a.nearestVelocity(t.velocity)})})),n=Array.from(new Set(e)).filter((function(t){return!a.buffers.has(t)})),(r=n.map((function(t){return{name:t,url:a.sampleNameToURL(t)}}))).length>0?(r.forEach((function(t){return a.buffers.add(t.name,t.url)})),[4,s.loaded()]):[3,4];case 3:i.sent(),u.log("Loaded samples for "+this.name+".","SoundFont"),i.label=4;case 4:return[2]}}))}))},t.prototype.playNote=function(t,e,n,r,i){var a=this.getBuffer(t,e);if(a){r>this.durationSeconds&&u.log("Requested note duration longer than sample duration: "+r+" > "+this.durationSeconds,"SoundFont");var o=new s.ToneBufferSource({url:a,fadeOut:this.FADE_SECONDS}).connect(i);if(o.start(n,0,void 0,1),!this.percussive&&rthis.maxPitch)){var n=this.sampleInfoToName({pitch:t,velocity:this.nearestVelocity(e)});if(!this.buffers.has(n))throw new Error("Buffer not found for "+this.name+": "+n);var r=this.buffers.get(n);if(!r.loaded)throw new Error("Buffer not loaded for "+this.name+": "+n);return r}u.log("Pitch "+t+" is outside the valid range for "+this.name+" ("+this.minPitch+"-"+this.maxPitch+")","SoundFont")},t}();e.Instrument=c;var l=function(){function t(t){this.baseURL=t,this.instruments=new Map,this.initialized=!1}return t.prototype.initialize=function(){return r(this,void 0,void 0,(function(){var t=this;return i(this,(function(e){switch(e.label){case 0:return[4,a.fetch(this.baseURL+"/soundfont.json").then((function(t){return t.json()})).then((function(e){for(var n in t.name=e.name,e.instruments){var r=t.baseURL+"/"+e.instruments[n];t.instruments.set("drums"===n?"drums":+n,new c(r))}t.initialized=!0}))];case 1:return e.sent(),[2]}}))}))},t.prototype.loadSamples=function(t){return r(this,void 0,void 0,(function(){var e,n=this;return i(this,(function(r){switch(r.label){case 0:return this.initialized?[3,2]:[4,this.initialize()];case 1:r.sent(),r.label=2;case 2:return e=new Map,t.forEach((function(t){t.isDrum=t.isDrum||!1,t.program=t.program||0;var r=t.isDrum?"drums":t.program,i={pitch:t.pitch,velocity:t.velocity};e.has(r)?e.get(r).push(i):n.instruments.has(r)?e.set(r,[i]):u.log("No instrument in "+n.name+" for: program="+t.program+", isDrum="+t.isDrum,"SoundFont")})),[4,Promise.all(Array.from(e.keys()).map((function(t){return n.instruments.get(t).loadSamples(e.get(t))})))];case 3:return r.sent(),[2]}}))}))},t.prototype.playNote=function(t,e,n,r,i,s,a){void 0===i&&(i=0),void 0===s&&(s=!1);var o=s?"drums":i;if(!this.initialized)throw new Error("SoundFont is not initialized.");this.instruments.has(o)?this.instruments.get(o).playNote(t,e,n,r,a):u.log("No instrument in "+this.name+" for: program="+i+", isDrum="+s,"SoundFont")},t.prototype.playNoteDown=function(t,e,n,r,i){void 0===n&&(n=0),void 0===r&&(r=!1);var s=r?"drums":n;if(!this.initialized)throw new Error("SoundFont is not initialized.");this.instruments.has(s)?this.instruments.get(s).playNoteDown(t,e,i):u.log("No instrument in "+this.name+" for: program="+n+", isDrum="+r,"SoundFont")},t.prototype.playNoteUp=function(t,e,n,r,i){void 0===n&&(n=0),void 0===r&&(r=!1);var s=r?"drums":n;if(!this.initialized)throw new Error("SoundFont is not initialized.");this.instruments.has(s)?this.instruments.get(s).playNoteUp(t,e,i):u.log("No instrument in "+this.name+" for: program="+n+", isDrum="+r,"SoundFont")},t}();e.SoundFont=l},function(t,e,n){"use strict";var r=this&&this.__awaiter||function(t,e,n,r){return new(n||(n=Promise))((function(i,s){function a(t){try{u(r.next(t))}catch(t){s(t)}}function o(t){try{u(r.throw(t))}catch(t){s(t)}}function u(t){var e;t.done?i(t.value):(e=t.value,e instanceof n?e:new n((function(t){t(e)}))).then(a,o)}u((r=r.apply(t,e||[])).next())}))},i=this&&this.__generator||function(t,e){var n,r,i,s,a={label:0,sent:function(){if(1&i[0])throw i[1];return i[1]},trys:[],ops:[]};return s={next:o(0),throw:o(1),return:o(2)},"function"==typeof Symbol&&(s[Symbol.iterator]=function(){return this}),s;function o(s){return function(o){return function(s){if(n)throw new TypeError("Generator is already executing.");for(;a;)try{if(n=1,r&&(i=2&s[0]?r.return:s[0]?r.throw||((i=r.return)&&i.call(r),0):r.next)&&!(i=i.call(r,s[1])).done)return i;switch(r=0,i&&(s=[2&s[0],i.value]),s[0]){case 0:case 1:i=s;break;case 4:return a.label++,{value:s[1],done:!1};case 5:a.label++,r=s[1],s=[0];continue;case 7:s=a.ops.pop(),a.trys.pop();continue;default:if(!(i=a.trys,(i=i.length>0&&i[i.length-1])||6!==s[0]&&2!==s[0])){a=0;continue}if(3===s[0]&&(!i||s[1]>i[0]&&s[1]>4,r=t.data[1],i=t.data.length>2?t.data[2]:1,s=t.srcElement;8===n||9===n&&0===i?(this.callbackObject&&this.callbackObject.noteOff&&this.callbackObject.noteOff(r,i,s),this.noteOff(r,e),this.callbackObject&&this.callbackObject.run&&this.callbackObject.run(this.getNoteSequence())):9===n&&(this.callbackObject&&this.callbackObject.noteOn&&this.callbackObject.noteOn(r,i,s),this.noteOn(r,i,e))}},t.prototype.noteOn=function(t,e,n){var r=new o.NoteSequence.Note;r.pitch=t,r.startTime=(n-this.firstNoteTimestamp)/1e3,r.velocity=e,this.onNotes.set(t,r)},t.prototype.noteOff=function(t,e){var n=this.onNotes.get(t);n&&(n.endTime=(e-this.firstNoteTimestamp)/1e3,this.notes.push(n)),this.onNotes.delete(t)},t}();e.Recorder=h},function(t,e,n){"use strict";var r,i=this&&this.__extends||(r=function(t,e){return(r=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var n in e)e.hasOwnProperty(n)&&(t[n]=e[n])})(t,e)},function(t,e){function n(){this.constructor=t}r(t,e),t.prototype=null===e?Object.create(e):(n.prototype=e.prototype,new n)});Object.defineProperty(e,"__esModule",{value:!0}),e.StaffSVGVisualizer=e.ScrollType=e.WaterfallSVGVisualizer=e.PianoRollSVGVisualizer=e.BaseSVGVisualizer=e.Visualizer=e.PianoRollCanvasVisualizer=e.BaseVisualizer=void 0;var s=n(354),a=n(67),o=n(55),u=n(92),c=function(){function t(t,e){void 0===e&&(e={});var n=u.isQuantizedSequence(t),r=t.tempos&&t.tempos.length>0?t.tempos[0].qpm:void 0;this.noteSequence=n?u.unquantizeSequence(t,r):t;this.config={noteHeight:e.noteHeight||6,noteSpacing:e.noteSpacing||1,pixelsPerTimeStep:e.pixelsPerTimeStep||30,noteRGB:e.noteRGB||"8, 41, 64",activeNoteRGB:e.activeNoteRGB||"240, 84, 119",minPitch:e.minPitch,maxPitch:e.maxPitch};var i=this.getSize();this.width=i.width,this.height=i.height}return t.prototype.updateMinMaxPitches=function(t){if(void 0===t&&(t=!1),!this.config.minPitch||!this.config.maxPitch){void 0===this.config.minPitch&&(this.config.minPitch=a.MAX_MIDI_PITCH),void 0===this.config.maxPitch&&(this.config.maxPitch=a.MIN_MIDI_PITCH);for(var e=0,n=this.noteSequence.notes;ethis.parentElement.scrollLeft+n&&(this.parentElement.scrollLeft=e-20)}},t.prototype.getNoteStartTime=function(t){return Math.round(1e8*t.startTime)/1e8},t.prototype.getNoteEndTime=function(t){return Math.round(1e8*t.endTime)/1e8},t.prototype.isPaintingActiveNote=function(t,e){var n=this.getNoteStartTime(t)===this.getNoteStartTime(e),r=this.getNoteStartTime(t)<=this.getNoteStartTime(e)&&this.getNoteEndTime(t)>=this.getNoteEndTime(e);return n||r},t}();e.BaseVisualizer=c;var l=function(t){function e(e,n,r){void 0===r&&(r={});var i=t.call(this,e,r)||this;i.ctx=n.getContext("2d"),i.parentElement=n.parentElement;var s=window.devicePixelRatio||1;return i.ctx&&(i.ctx.canvas.width=s*i.width,i.ctx.canvas.height=s*i.height,n.style.width=i.width+"px",n.style.height=i.height+"px",i.ctx.scale(s,s)),i.redraw(),i}return i(e,t),e.prototype.redraw=function(t,e){var n;this.clear();for(var r=0;r element to display the visualization");i.svg=n,i.parentElement=n.parentElement;var s=i.getSize();return i.width=s.width,i.height=s.height,i.svg.style.width=i.width+"px",i.svg.style.height=i.height+"px",i.clear(),i.draw(),i}return i(e,t),e}(d);e.PianoRollSVGVisualizer=p;var f,m=function(t){function e(e,n,r){void 0===r&&(r={});var i=t.call(this,e,r)||this;if(i.NOTES_PER_OCTAVE=12,i.WHITE_NOTES_PER_OCTAVE=7,i.LOW_C=24,i.firstDrawnOctave=0,i.lastDrawnOctave=6,!(n instanceof HTMLDivElement))throw new Error("This visualizer requires a
element to display the visualization");i.config.whiteNoteWidth=r.whiteNoteWidth||20,i.config.blackNoteWidth=r.blackNoteWidth||2*i.config.whiteNoteWidth/3,i.config.whiteNoteHeight=r.whiteNoteHeight||70,i.config.blackNoteHeight=r.blackNoteHeight||140/3,i.config.showOnlyOctavesUsed=r.showOnlyOctavesUsed,i.setupDOM(n);var s=i.getSize();return i.width=s.width,i.height=s.height,i.svg.style.width=i.width+"px",i.svg.style.height=i.height+"px",i.svgPiano.style.width=i.width+"px",i.svgPiano.style.height=i.config.whiteNoteHeight+"px",i.parentElement.style.width=i.width+i.config.whiteNoteWidth+"px",i.parentElement.scrollTop=i.parentElement.scrollHeight,i.clear(),i.drawPiano(),i.draw(),i}return i(e,t),e.prototype.setupDOM=function(t){this.parentElement=document.createElement("div"),this.parentElement.classList.add("waterfall-notes-container");var e=Math.max(t.getBoundingClientRect().height,200);this.parentElement.style.paddingTop=e-this.config.whiteNoteHeight+"px",this.parentElement.style.height=e-this.config.whiteNoteHeight+"px",this.parentElement.style.boxSizing="border-box",this.parentElement.style.overflowX="hidden",this.parentElement.style.overflowY="auto",this.svg=document.createElementNS("http://www.w3.org/2000/svg","svg"),this.svgPiano=document.createElementNS("http://www.w3.org/2000/svg","svg"),this.svg.classList.add("waterfall-notes"),this.svgPiano.classList.add("waterfall-piano"),this.parentElement.appendChild(this.svg),t.innerHTML="",t.appendChild(this.parentElement),t.appendChild(this.svgPiano)},e.prototype.redraw=function(t,e){if(this.drawn||this.draw(),!t)return null;this.clearActiveNotes(),this.parentElement.style.paddingTop=this.parentElement.style.height;for(var n=0;nthis.config.minPitch&&(this.firstDrawnOctave=r-1,e=!0),!n&&i>this.config.maxPitch&&(this.lastDrawnOctave=r-1,n=!0)}t=(this.lastDrawnOctave-this.firstDrawnOctave+1)*this.WHITE_NOTES_PER_OCTAVE}var s=t*this.config.whiteNoteWidth,a=this.noteSequence.totalTime;if(!a)throw new Error("The sequence you are using with the visualizer does not have a totalQuantizedSteps or totalTime field set, so the visualizer can't be horizontally sized correctly.");return{width:s,height:Math.max(a*this.config.pixelsPerTimeStep,1)}},e.prototype.getNotePosition=function(t,e){var n=this.svgPiano.querySelector('rect[data-pitch="'+t.pitch+'"]');if(!n)return null;var r=this.getNoteEndTime(t)-this.getNoteStartTime(t),i=Number(n.getAttribute("x")),s=Number(n.getAttribute("width")),a=Math.max(this.config.pixelsPerTimeStep*r-this.config.noteSpacing,1);return{x:i,y:this.height-this.getNoteStartTime(t)*this.config.pixelsPerTimeStep-a,w:s,h:a}},e.prototype.drawPiano=function(){this.svgPiano.innerHTML="";var t=this.config.whiteNoteWidth-this.config.blackNoteWidth/2,e=[1,3,6,8,10],n=0,r=0;this.config.showOnlyOctavesUsed?r=this.firstDrawnOctave*this.NOTES_PER_OCTAVE+this.LOW_C:(r=this.LOW_C-3,this.drawWhiteKey(r,n),this.drawWhiteKey(r+2,this.config.whiteNoteWidth),r+=3,n=2*this.config.whiteNoteWidth);for(var i=this.firstDrawnOctave;i<=this.lastDrawnOctave;i++)for(var s=0;s=0},e.prototype.timeToQuarters=function(t){var e=t*this.noteSequence.tempos[0].qpm/60;return Math.round(16*e)/16},e.prototype.getNoteInfo=function(t){var e=this.timeToQuarters(t.startTime);return{start:e,length:this.timeToQuarters(t.endTime)-e,pitch:t.pitch,intensity:t.velocity}},e.prototype.getScoreInfo=function(t){var e=this,n=[];return 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a=[{steps:[0,0,-1,-1,-2,-3,-3,-4,-4,-5,-5,-6],accidental:[0,1,0,1,0,0,1,0,1,0,1,0]},{steps:[0,-1,-1,-2,-2,-3,-4,-4,-5,-5,-6,-6],accidental:[0,0,3,0,3,0,0,3,0,3,0,3]},{steps:[0,0,-1,-1,-2,-3,-3,-4,-4,-5,-5,-6],accidental:[3,0,0,1,0,3,0,0,1,0,1,0]},{steps:[0,-1,-1,-2,-2,-3,-4,-4,-5,-5,-6,-6],accidental:[0,2,0,0,3,0,2,0,0,3,0,3]},{steps:[0,0,-1,-1,-2,-3,-3,-4,-4,-5,-5,-6],accidental:[3,0,3,0,0,3,0,3,0,0,1,0]},{steps:[0,-1,-1,-2,-2,-3,-4,-4,-5,-5,-6,-6],accidental:[0,2,0,2,0,0,2,0,2,0,0,3]},{steps:[0,-1,-1,-2,-2,-3,-4,-4,-5,-5,-6,-7],accidental:[3,0,3,0,3,0,0,3,0,3,0,0]},{steps:[0,0,-1,-1,-2,-3,-3,-4,-4,-5,-5,-6],accidental:[0,1,0,1,0,3,0,0,1,0,1,0]},{steps:[0,-1,-1,-2,-2,-3,-4,-4,-5,-5,-6,-6],accidental:[0,0,3,0,3,0,2,0,0,3,0,3]},{steps:[0,0,-1,-1,-2,-3,-3,-4,-4,-5,-5,-6],accidental:[3,0,0,1,0,3,0,3,0,0,1,0]},{steps:[0,-1,-1,-2,-2,-3,-4,-4,-5,-5,-6,-6],accidental:[0,2,0,0,3,0,2,0,2,0,0,3]},{steps:[0,0,-1,-1,-2,-3,-3,-4,-4,-5,-5,-6],accidental:[3,0,3,0,0,3,0,3,0,3,0,0]}],o=[{accidental:1,pitches:[]},{accidental:2,pitches:[70,75,68,73,66]},{accidental:1,pitches:[78,73]},{accidental:2,pitches:[70,75,68]},{accidental:1,pitches:[78,73,80,75]},{accidental:2,pitches:[70]},{accidental:2,pitches:[70,75,68,73,66,71]},{accidental:1,pitches:[78]},{accidental:2,pitches:[70,75,68,73]},{accidental:1,pitches:[78,73,80]},{accidental:2,pitches:[70,75]},{accidental:1,pitches:[78,73,80,75,70]}],u=16;var c;!function(t){t[t.PAGE=0]="PAGE",t[t.NOTE=1]="NOTE",t[t.BAR=2]="BAR"}(c||(c={}));class l{constructor(t,e,n){this.handleScrollEvent=t=>{this.lastKnownScrollLeft=this.parentElement.scrollLeft,this.ticking||window.requestAnimationFrame(()=>{this.changeAndDrawSignaturesIfNeeded(this.lastKnownScrollLeft),this.ticking=!1}),this.ticking=!0},this.scoreInfo=t,this.config={noteHeight:e.noteHeight||6,noteSpacing:e.noteSpacing||1,pixelsPerTimeStep:e.pixelsPerTimeStep||30,noteRGB:e.noteRGB||"8, 41, 64",activeNoteRGB:e.activeNoteRGB||"240, 84, 119"},this.div=n,this.timeSignatureNumerator=4,this.timeSignatureDenominator=4,this.key=e.defaultKey||0,this.scrollType=e.scrollType||c.PAGE,this.scale=this.config.noteHeight/s.PATH_SCALE,(void 0===e.pixelsPerTimeStep||e.pixelsPerTimeStep<=0)&&(this.config.pixelsPerTimeStep=0,this.config.noteSpacing=r.COMPACT_SPACING*this.scale),this.clear(),this.redraw()}clear(){for(;this.div.lastChild;)this.div.removeChild(this.div.lastChild);this.div.style.overflow="visible",this.div.style.position="relative",this.overlaySVG=document.createElementNS(i.SVGNS,"svg"),this.overlaySVG.style.position="absolute",this.div.appendChild(this.overlaySVG),this.overlayG=Object(i.createSVGGroupChild)(this.overlaySVG,"overlay"),this.signaturesBlinking=!1,this.signaturesQuarters=0,this.parentElement=document.createElement("div"),this.parentElement.style.overflow="auto",this.div.appendChild(this.parentElement),this.ticking=!1,this.lastKnownScrollLeft=0,this.parentElement.addEventListener("scroll",this.handleScrollEvent),this.staffSVG=document.createElementNS(i.SVGNS,"svg"),this.parentElement.appendChild(this.staffSVG),this.staffG=Object(i.createSVGGroupChild)(this.staffSVG,"staff"),this.linesG=Object(i.createSVGGroupChild)(this.staffSVG,"lines"),this.setStroke(this.linesG),this.staffG.appendChild(this.linesG),this.musicG=Object(i.createSVGGroupChild)(this.staffSVG,"music"),this.setFill(this.musicG),this.setStroke(this.musicG,0),this.staffG.appendChild(this.musicG),this.signaturesG=Object(i.createSVGGroupChild)(this.staffSVG,"signatures"),this.staffG.appendChild(this.signaturesG);let t=0,e=0;this.scoreInfo.notes.forEach(n=>{t+=n.pitch,++e});const n=t/e;this.clef=n<60?50:71,this.signaturesList=[{x:0,q:0}],this.signatureCurrent=0,this.signatureNext=0,this.changeKeySignatureIfNeeded(0),this.changeTimeSignatureIfNeeded(0),this.vStepSize=this.config.noteHeight/2,this.hStepSize=this.config.pixelsPerTimeStep,this.staffOffset=0,this.height=0,this.width=0,this.musicBlockMap=new Map,this.playingNotes=[],this.lastBar=0,this.barAccidentals={},this.lastQ=-1}isPaintingActiveNote(t,e){const n=t.start===e.start,r=t.start<=e.start&&t.start+t.length>=e.start+e.length;return n||r}redraw(t,e){let n=-1;const r=0===this.config.pixelsPerTimeStep;if(t){const s=[];this.playingNotes.forEach(e=>{this.isPaintingActiveNote(e,t)?s.push(e):this.highlightElement(this.getGroup(e),!1)}),this.playingNotes=s;const a=this.getGroup(t);if(a){this.playingNotes.push(t),this.highlightElement(a,!0),n=a.getBoundingClientRect().left-this.staffSVG.getBoundingClientRect().left;const s=t.start,o=a.getAttribute("data-is-bar-beginning");(this.scrollType!==c.BAR||o)&&this.scrollIntoViewIfNeeded(e,n),!r&&this.signaturesBlinking&&s>=this.signaturesQuarters&&(this.signaturesBlinking=!1,Object(i.setFade)(this.overlayG,this.signaturesBlinking))}}else{this.setDetails();const t=-1===this.lastQ;let e=0,n=0;t?(n=this.drawSignatures(this.overlayG,e,!0,!0,!0),r&&(this.width=0,n+=this.config.noteSpacing),n+=this.drawRests(this.initialRest,e+n)):e=this.width,this.musicBlockMap.forEach((t,i)=>{r||(e=this.quartersToTime(i)*this.hStepSize),i>this.lastQ?(n+=this.drawMusicBlock(t,e+n),this.lastQ=i):i===this.lastQ&&(n+=this.drawRests(t,e+n))});const i=this.staffSVG.getBoundingClientRect(),s=this.musicG.getBoundingClientRect();if(this.updateVerticalBoundaries(s.top-i.top,s.bottom-i.top),r)this.width+=n;else{const t=this.musicBlockMap.get(this.lastQ),e=this.quartersToTime(this.lastQ+t.notes[0].length);this.width=e*this.config.pixelsPerTimeStep}this.staffSVG.setAttributeNS(null,"width",""+this.width),this.redrawStaff(this.linesG,0,this.width)}return n}drawMusicBlock(t,e){const n=t.notes[0].start;let a=this.drawBarIfNeeded(n,e);a+=this.drawSignaturesIfNeeded(n,e+a);let o=0;for(let e=4;e>=r.MIN_RESOLUTION&&!o;e/=2)e<=t.notes[0].length&&(o=e);if(0===o){const e=0===t.notes[0].length?"[infinite]":""+4/t.notes[0].length;console.warn(" StaffRender ","background:orange; color:white",`StaffRender does not handle notes shorther than 1/${4/r.MIN_RESOLUTION}th, and this score tries to draw a 1/${e}th. 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t=e+a-n.tiedFrom.xHeadRight;Object(i.drawSVGPath)(n.g,s.tiePath,n.tiedFrom.xHeadRight,r,t/s.PATH_SCALE,this.scale*(n.vSteps<0?-1:1),n.opacity)}Object(i.drawSVGPath)(n.g,u.path,e+a,r,this.scale,this.scale,n.opacity),n.xHeadRight=e+a+u.width*this.scale,1.5*o<=n.length&&Object(i.drawSVGPath)(n.g,s.dotPath,e+a+u.width*this.scale+this.vStepSize/2,r-this.vStepSize/2,this.scale,this.scale,n.opacity),0!==n.accidental&&Object(i.drawSVGPath)(n.g,s.ACCIDENTAL_PATHS[n.accidental],e+a,r,this.scale,this.scale,n.opacity)}),u.stemAnchor){let n,o,l=e+a;const h=u.stemAnchor*this.scale,d=t.minVStep+t.maxVStep<0,p=u.flags>2?2*(u.flags-2):0;if(d?(n=t.maxVStep*this.vStepSize-h,o=(t.minVStep+7+p)*this.vStepSize):(l+=(u.width-r.STEM_WIDTH)*this.scale,n=t.minVStep*this.vStepSize+h,o=(t.maxVStep-7-p)*this.vStepSize),Object(i.drawSVGPath)(c,s.stemPath,l,n,this.scale,(o-n)/s.PATH_SCALE),1===u.flags)Object(i.drawSVGPath)(c,s.singleFlagPath,l,o,this.scale,this.scale*(d?-1:1),1);else if(u.flags>1)for(let t=0;t=r&&(this.config.pixelsPerTimeStep>0?e-=this.config.noteSpacing:n=this.config.noteSpacing,Object(i.drawSVGPath)(this.linesG,s.barPath,e,0,1,this.scale),this.lastBar=r),n}drawRests(t,e){let n=0,a=t.restToNextLength;if(a){this.config.pixelsPerTimeStep>0&&(e+=this.quartersToTime(t.notes[0].length)*this.hStepSize);let o=t.notes[0].start+t.notes[0].length,u=0;const c=this.lastBar+this.getBarLength()-o;let l;for(a>c&&(u=a-c,a=c),l=4;l>this.getBarLength()&&l>=r.MIN_RESOLUTION;l/=2);let h=l;for(;(a||u)&&h>=r.MIN_RESOLUTION;){if(h<=a){n+=this.drawBarIfNeeded(o,e+n),n+=this.drawSignaturesIfNeeded(o,e+n);const t=Object(i.drawSVGPath)(this.musicG,s.REST_PATHS[h],e+n,0,this.scale,this.scale);this.config.pixelsPerTimeStep>0?e+=this.quartersToTime(h)*this.hStepSize:(n+=t.getBoundingClientRect().width,n+=this.config.noteSpacing),o+=h,a-=h}if(u&&a<=0){const 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