{
  "executionProfile": [
    {
      "match": { "expertFormat": "gpt-oss" },
      "value": {
        "id": "gpt-oss-mxfp4",
        "label": "GPT-OSS MXFP4 experts",
        "expertExecutor": "gpt-oss",
        "intermediateSizeSource": "architecture",
        "requiresShaderF16": true,
        "routerScaleMode": "none",
        "topkRouteExecutor": null,
        "vendorProfile": {
          "kind": "rule",
          "domain": "kernels",
          "group": "moeGptoss",
          "name": "vendorQuirkProfile"
        },
        "kernelPathProfileResolver": "gpt-oss",
        "kernelRuleModelType": "gpt-oss",
        "shapePolicy": {
          "kind": "rule",
          "domain": "kernels",
          "group": "moeGptoss",
          "name": "shapePolicy"
        }
      }
    },
    {
      "match": { "expertFormat": "mixtral" },
      "value": {
        "id": "mixtral-dense",
        "label": "Mixtral dense experts",
        "expertExecutor": "mixtral",
        "intermediateSizeSource": "architecture",
        "requiresShaderF16": false,
        "routerScaleMode": "none",
        "topkRouteExecutor": null,
        "vendorProfile": {
          "kind": "rule",
          "domain": "kernels",
          "group": "moeMixtral",
          "name": "vendorQuirkProfile"
        },
        "kernelPathProfileResolver": "mixtral",
        "kernelRuleModelType": "mixtral",
        "shapePolicy": null
      }
    },
    {
      "match": { "modelType": "diffusion_gemma", "expertFormat": "gemma4" },
      "value": {
        "id": "diffusion-gemma-packed",
        "label": "DiffusionGemma packed experts",
        "expertExecutor": "gemma4-packed",
        "intermediateSizeSource": "expert",
        "requiresShaderF16": false,
        "routerScaleMode": "required",
        "topkRouteExecutor": "gemma4-route",
        "vendorProfile": {
          "kind": "static",
          "value": {
            "preferVec4Dequant": false,
            "dequantTileShape": null,
            "routerWorkgroupSize": 256,
            "maxTokensPerExpertScale": 1.0
          }
        },
        "kernelPathProfileResolver": null,
        "kernelRuleModelType": null,
        "shapePolicy": null
      }
    },
    {
      "match": { "expertFormat": "gemma4" },
      "value": {
        "id": "gemma4-packed",
        "label": "Gemma packed experts",
        "expertExecutor": "gemma4-packed",
        "intermediateSizeSource": "expert",
        "requiresShaderF16": false,
        "routerScaleMode": "optional",
        "topkRouteExecutor": "gemma4-route",
        "vendorProfile": {
          "kind": "static",
          "value": {
            "preferVec4Dequant": false,
            "dequantTileShape": null,
            "routerWorkgroupSize": 256,
            "maxTokensPerExpertScale": 1.0
          }
        },
        "kernelPathProfileResolver": null,
        "kernelRuleModelType": null,
        "shapePolicy": null
      }
    }
  ],
  "biasAddCode": [
    {
      "match": { "logitsDtype": "f16", "biasDtype": "f16" },
      "value": {
        "logitsType": "f16",
        "biasType": "f16",
        "logitsRead": "f32(logits[idx])",
        "biasRead": "f32(bias[e])",
        "logitsWrite": "logits[idx] = f16(value);",
        "enableF16": "enable f16;\n"
      }
    },
    {
      "match": { "logitsDtype": "f16" },
      "value": {
        "logitsType": "f16",
        "biasType": "f32",
        "logitsRead": "f32(logits[idx])",
        "biasRead": "bias[e]",
        "logitsWrite": "logits[idx] = f16(value);",
        "enableF16": "enable f16;\n"
      }
    },
    {
      "match": { "biasDtype": "f16" },
      "value": {
        "logitsType": "f32",
        "biasType": "f16",
        "logitsRead": "logits[idx]",
        "biasRead": "f32(bias[e])",
        "logitsWrite": "logits[idx] = value;",
        "enableF16": "enable f16;\n"
      }
    },
    {
      "match": {},
      "value": {
        "logitsType": "f32",
        "biasType": "f32",
        "logitsRead": "logits[idx]",
        "biasRead": "bias[e]",
        "logitsWrite": "logits[idx] = value;",
        "enableF16": ""
      }
    }
  ]
}