import type { MetadataBearer as __MetadataBearer } from "@smithy/types"; import type { DescribeAIBenchmarkJobRequest, DescribeAIBenchmarkJobResponse } from "../models/models_2"; /** * @public */ export type { __MetadataBearer }; /** * @public * * The input for {@link DescribeAIBenchmarkJobCommand}. */ export interface DescribeAIBenchmarkJobCommandInput extends DescribeAIBenchmarkJobRequest { } /** * @public * * The output of {@link DescribeAIBenchmarkJobCommand}. */ export interface DescribeAIBenchmarkJobCommandOutput extends DescribeAIBenchmarkJobResponse, __MetadataBearer { } declare const DescribeAIBenchmarkJobCommand_base: { new (input: DescribeAIBenchmarkJobCommandInput): import("@smithy/core/client").CommandImpl; new (input: DescribeAIBenchmarkJobCommandInput): import("@smithy/core/client").CommandImpl; getEndpointParameterInstructions(): import("@smithy/types").EndpointParameterInstructions; }; /** *

Returns details of an AI benchmark job, including its status, configuration, target endpoint, and timing information.

* @example * Use a bare-bones client and the command you need to make an API call. * ```javascript * import { SageMakerClient, DescribeAIBenchmarkJobCommand } from "@aws-sdk/client-sagemaker"; // ES Modules import * // const { SageMakerClient, DescribeAIBenchmarkJobCommand } = require("@aws-sdk/client-sagemaker"); // CommonJS import * // import type { SageMakerClientConfig } from "@aws-sdk/client-sagemaker"; * const config = {}; // type is SageMakerClientConfig * const client = new SageMakerClient(config); * const input = { // DescribeAIBenchmarkJobRequest * AIBenchmarkJobName: "STRING_VALUE", // required * }; * const command = new DescribeAIBenchmarkJobCommand(input); * const response = await client.send(command); * // { // DescribeAIBenchmarkJobResponse * // AIBenchmarkJobName: "STRING_VALUE", // required * // AIBenchmarkJobArn: "STRING_VALUE", // required * // AIBenchmarkJobStatus: "InProgress" || "Completed" || "Failed" || "Stopping" || "Stopped", // required * // FailureReason: "STRING_VALUE", * // BenchmarkTarget: { // AIBenchmarkTarget Union: only one key present * // Endpoint: { // AIBenchmarkEndpoint * // Identifier: "STRING_VALUE", // required * // TargetContainerHostname: "STRING_VALUE", * // InferenceComponents: [ // AIBenchmarkInferenceComponentList * // { // AIBenchmarkInferenceComponent * // Identifier: "STRING_VALUE", // required * // }, * // ], * // }, * // }, * // OutputConfig: { // AIBenchmarkOutputResult * // S3OutputLocation: "STRING_VALUE", // required * // CloudWatchLogs: [ // AICloudWatchLogsList * // { // AICloudWatchLogs * // LogGroupArn: "STRING_VALUE", * // LogStreamName: "STRING_VALUE", * // }, * // ], * // MlflowConfig: { // AIMlflowConfig * // MlflowResourceArn: "STRING_VALUE", // required * // MlflowExperimentName: "STRING_VALUE", * // MlflowRunName: "STRING_VALUE", * // }, * // }, * // AIWorkloadConfigIdentifier: "STRING_VALUE", // required * // RoleArn: "STRING_VALUE", // required * // NetworkConfig: { // AIBenchmarkNetworkConfig * // VpcConfig: { // VpcConfig * // SecurityGroupIds: [ // VpcSecurityGroupIds // required * // "STRING_VALUE", * // ], * // Subnets: [ // Subnets // required * // "STRING_VALUE", * // ], * // }, * // }, * // CreationTime: new Date("TIMESTAMP"), // required * // StartTime: new Date("TIMESTAMP"), * // EndTime: new Date("TIMESTAMP"), * // Tags: [ // TagList * // { // Tag * // Key: "STRING_VALUE", // required * // Value: "STRING_VALUE", // required * // }, * // ], * // }; * * ``` * * @param DescribeAIBenchmarkJobCommandInput - {@link DescribeAIBenchmarkJobCommandInput} * @returns {@link DescribeAIBenchmarkJobCommandOutput} * @see {@link DescribeAIBenchmarkJobCommandInput} for command's `input` shape. * @see {@link DescribeAIBenchmarkJobCommandOutput} for command's `response` shape. * @see {@link SageMakerClientResolvedConfig | config} for SageMakerClient's `config` shape. * * @throws {@link ResourceNotFound} (client fault) *

Resource being access is not found.

* * @throws {@link SageMakerServiceException} *

Base exception class for all service exceptions from SageMaker service.

* * * @public */ export declare class DescribeAIBenchmarkJobCommand extends DescribeAIBenchmarkJobCommand_base { /** @internal type navigation helper, not in runtime. */ protected static __types: { api: { input: DescribeAIBenchmarkJobRequest; output: DescribeAIBenchmarkJobResponse; }; sdk: { input: DescribeAIBenchmarkJobCommandInput; output: DescribeAIBenchmarkJobCommandOutput; }; }; }