@aws-cdk/aws-codebuild/lib/linux-gpu-build-image.js

"use strict";
var _a;
Object.defineProperty(exports, "__esModule", { value: true });
exports.LinuxGpuBuildImage = void 0;
const jsiiDeprecationWarnings = require("../.warnings.jsii.js");
const JSII_RTTI_SYMBOL_1 = Symbol.for("jsii.rtti");
const ecr = require("@aws-cdk/aws-ecr");
const core = require("@aws-cdk/core");
const region_info_1 = require("@aws-cdk/region-info");
const run_script_linux_build_spec_1 = require("./private/run-script-linux-build-spec");
const project_1 = require("./project");
/**
 * A CodeBuild GPU image running Linux.
 *
 * This class has public constants that represent the most popular GPU images from AWS Deep Learning Containers.
 *
 * @see https://aws.amazon.com/releasenotes/available-deep-learning-containers-images
 */
class LinuxGpuBuildImage {
    constructor(repositoryName, tag, account) {
        this.repositoryName = repositoryName;
        this.account = account;
        this.type = 'LINUX_GPU_CONTAINER';
        this.defaultComputeType = project_1.ComputeType.LARGE;
        this.imagePullPrincipalType = project_1.ImagePullPrincipalType.SERVICE_ROLE;
        const imageAccount = account ?? core.Lazy.string({
            produce: () => {
                if (this._imageAccount === undefined) {
                    throw new Error('Make sure this \'LinuxGpuBuildImage\' is used in a CodeBuild Project construct');
                }
                return this._imageAccount;
            },
        });
        // The value of imageId below *should* have been `Lazy.stringValue(() => repository.repositoryUriForTag(this.tag))`,
        // but we can't change that anymore because someone somewhere might at this point have written code
        // to do `image.imageId.includes('pytorch')` and changing this to a full-on token would break them.
        this.imageId = `${imageAccount}.dkr.ecr.${core.Aws.REGION}.${core.Aws.URL_SUFFIX}/${repositoryName}:${tag}`;
    }
    /**
     * Returns a Linux GPU build image from AWS Deep Learning Containers.
     *
     * @param repositoryName the name of the repository,
     *   for example "pytorch-inference"
     * @param tag the tag of the image, for example "1.5.0-gpu-py36-cu101-ubuntu16.04"
     * @param account the AWS account ID where the DLC repository for this region is hosted in.
     *   In many cases, the CDK can infer that for you, but for some newer region our information
     *   might be out of date; in that case, you can specify the region explicitly using this optional parameter
     * @see https://aws.amazon.com/releasenotes/available-deep-learning-containers-images
     */
    static awsDeepLearningContainersImage(repositoryName, tag, account) {
        return new LinuxGpuBuildImage(repositoryName, tag, account);
    }
    /**
     * Returns a GPU image running Linux from an ECR repository.
     *
     * NOTE: if the repository is external (i.e. imported), then we won't be able to add
     * a resource policy statement for it so CodeBuild can pull the image.
     *
     * @see https://docs.aws.amazon.com/codebuild/latest/userguide/sample-ecr.html
     *
     * @param repository The ECR repository
     * @param tag Image tag (default "latest")
     */
    static fromEcrRepository(repository, tag = 'latest') {
        return new LinuxGpuBuildImage(repository.repositoryName, tag, repository.env.account);
    }
    bind(scope, project, _options) {
        try {
            jsiiDeprecationWarnings._aws_cdk_aws_codebuild_IProject(project);
            jsiiDeprecationWarnings._aws_cdk_aws_codebuild_BuildImageBindOptions(_options);
        }
        catch (error) {
            if (process.env.JSII_DEBUG !== "1" && error.name === "DeprecationError") {
                Error.captureStackTrace(error, this.bind);
            }
            throw error;
        }
        const account = this.account ?? core.Stack.of(scope).regionalFact(region_info_1.FactName.DLC_REPOSITORY_ACCOUNT);
        const repository = ecr.Repository.fromRepositoryAttributes(scope, 'AwsDlcRepositoryCodeBuild', {
            repositoryName: this.repositoryName,
            repositoryArn: ecr.Repository.arnForLocalRepository(this.repositoryName, scope, account),
        });
        repository.grantPull(project);
        this._imageAccount = account;
        return {};
    }
    validate(buildEnvironment) {
        try {
            jsiiDeprecationWarnings._aws_cdk_aws_codebuild_BuildEnvironment(buildEnvironment);
        }
        catch (error) {
            if (process.env.JSII_DEBUG !== "1" && error.name === "DeprecationError") {
                Error.captureStackTrace(error, this.validate);
            }
            throw error;
        }
        const ret = [];
        if (buildEnvironment.computeType &&
            buildEnvironment.computeType !== project_1.ComputeType.LARGE) {
            ret.push(`GPU images only support ComputeType '${project_1.ComputeType.LARGE}' - ` +
                `'${buildEnvironment.computeType}' was given`);
        }
        return ret;
    }
    runScriptBuildspec(entrypoint) {
        return run_script_linux_build_spec_1.runScriptLinuxBuildSpec(entrypoint);
    }
}
exports.LinuxGpuBuildImage = LinuxGpuBuildImage;
_a = JSII_RTTI_SYMBOL_1;
LinuxGpuBuildImage[_a] = { fqn: "@aws-cdk/aws-codebuild.LinuxGpuBuildImage", version: "1.181.1" };
/** Tensorflow 1.14.0 GPU image from AWS Deep Learning Containers. */
LinuxGpuBuildImage.DLC_TENSORFLOW_1_14_0 = LinuxGpuBuildImage.awsDeepLearningContainersImage('tensorflow-training', '1.14.0-gpu-py36-cu100-ubuntu16.04');
/** Tensorflow 1.15.0 GPU image from AWS Deep Learning Containers. */
LinuxGpuBuildImage.DLC_TENSORFLOW_1_15_0 = LinuxGpuBuildImage.awsDeepLearningContainersImage('tensorflow-training', '1.15.0-gpu-py36-cu100-ubuntu18.04');
/** Tensorflow 1.15.2 GPU training image from AWS Deep Learning Containers. */
LinuxGpuBuildImage.DLC_TENSORFLOW_1_15_2_TRAINING = LinuxGpuBuildImage.awsDeepLearningContainersImage('tensorflow-training', '1.15.2-gpu-py37-cu100-ubuntu18.04');
/** Tensorflow 1.15.2 GPU inference image from AWS Deep Learning Containers. */
LinuxGpuBuildImage.DLC_TENSORFLOW_1_15_2_INFERENCE = LinuxGpuBuildImage.awsDeepLearningContainersImage('tensorflow-inference', '1.15.2-gpu-py36-cu100-ubuntu18.04');
/** Tensorflow 2.0.0 GPU image from AWS Deep Learning Containers. */
LinuxGpuBuildImage.DLC_TENSORFLOW_2_0_0 = LinuxGpuBuildImage.awsDeepLearningContainersImage('tensorflow-training', '2.0.0-gpu-py36-cu100-ubuntu18.04');
/** Tensorflow 2.0.1 GPU image from AWS Deep Learning Containers. */
LinuxGpuBuildImage.DLC_TENSORFLOW_2_0_1 = LinuxGpuBuildImage.awsDeepLearningContainersImage('tensorflow-training', '2.0.1-gpu-py36-cu100-ubuntu18.04');
/** Tensorflow 2.1.0 GPU training image from AWS Deep Learning Containers. */
LinuxGpuBuildImage.DLC_TENSORFLOW_2_1_0_TRAINING = LinuxGpuBuildImage.awsDeepLearningContainersImage('tensorflow-training', '2.1.0-gpu-py36-cu101-ubuntu18.04');
/** Tensorflow 2.1.0 GPU inference image from AWS Deep Learning Containers. */
LinuxGpuBuildImage.DLC_TENSORFLOW_2_1_0_INFERENCE = LinuxGpuBuildImage.awsDeepLearningContainersImage('tensorflow-inference', '2.1.0-gpu-py36-cu101-ubuntu18.04');
/** Tensorflow 2.2.0 GPU training image from AWS Deep Learning Containers. */
LinuxGpuBuildImage.DLC_TENSORFLOW_2_2_0_TRAINING = LinuxGpuBuildImage.awsDeepLearningContainersImage('tensorflow-training', '2.2.0-gpu-py37-cu101-ubuntu18.04');
/** PyTorch 1.2.0 GPU image from AWS Deep Learning Containers. */
LinuxGpuBuildImage.DLC_PYTORCH_1_2_0 = LinuxGpuBuildImage.awsDeepLearningContainersImage('pytorch-training', '1.2.0-gpu-py36-cu100-ubuntu16.04');
/** PyTorch 1.3.1 GPU image from AWS Deep Learning Containers. */
LinuxGpuBuildImage.DLC_PYTORCH_1_3_1 = LinuxGpuBuildImage.awsDeepLearningContainersImage('pytorch-training', '1.3.1-gpu-py36-cu101-ubuntu16.04');
/** PyTorch 1.4.0 GPU training image from AWS Deep Learning Containers. */
LinuxGpuBuildImage.DLC_PYTORCH_1_4_0_TRAINING = LinuxGpuBuildImage.awsDeepLearningContainersImage('pytorch-training', '1.4.0-gpu-py36-cu101-ubuntu16.04');
/** PyTorch 1.4.0 GPU inference image from AWS Deep Learning Containers. */
LinuxGpuBuildImage.DLC_PYTORCH_1_4_0_INFERENCE = LinuxGpuBuildImage.awsDeepLearningContainersImage('pytorch-inference', '1.4.0-gpu-py36-cu101-ubuntu16.04');
/** PyTorch 1.5.0 GPU training image from AWS Deep Learning Containers. */
LinuxGpuBuildImage.DLC_PYTORCH_1_5_0_TRAINING = LinuxGpuBuildImage.awsDeepLearningContainersImage('pytorch-training', '1.5.0-gpu-py36-cu101-ubuntu16.04');
/** PyTorch 1.5.0 GPU inference image from AWS Deep Learning Containers. */
LinuxGpuBuildImage.DLC_PYTORCH_1_5_0_INFERENCE = LinuxGpuBuildImage.awsDeepLearningContainersImage('pytorch-inference', '1.5.0-gpu-py36-cu101-ubuntu16.04');
/** MXNet 1.4.1 GPU image from AWS Deep Learning Containers. */
LinuxGpuBuildImage.DLC_MXNET_1_4_1 = LinuxGpuBuildImage.awsDeepLearningContainersImage('mxnet-training', '1.4.1-gpu-py36-cu100-ubuntu16.04');
/** MXNet 1.6.0 GPU image from AWS Deep Learning Containers. */
LinuxGpuBuildImage.DLC_MXNET_1_6_0 = LinuxGpuBuildImage.awsDeepLearningContainersImage('mxnet-training', '1.6.0-gpu-py36-cu101-ubuntu16.04');
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* as ecr from '@aws-cdk/aws-ecr';\nimport * as core from '@aws-cdk/core';\nimport { FactName } from '@aws-cdk/region-info';\nimport { BuildSpec } from './build-spec';\nimport { runScriptLinuxBuildSpec } from './private/run-script-linux-build-spec';\nimport {\n  BuildEnvironment, BuildImageBindOptions, BuildImageConfig, ComputeType, IBindableBuildImage, IBuildImage,\n  ImagePullPrincipalType, IProject,\n} from './project';\n\n// keep this import separate from other imports to reduce chance for merge conflicts with v2-main\n// eslint-disable-next-line no-duplicate-imports, import/order\nimport { Construct } from '@aws-cdk/core';\n\n/**\n * A CodeBuild GPU image running Linux.\n *\n * This class has public constants that represent the most popular GPU images from AWS Deep Learning Containers.\n *\n * @see https://aws.amazon.com/releasenotes/available-deep-learning-containers-images\n */\nexport class LinuxGpuBuildImage implements IBindableBuildImage {\n  /** Tensorflow 1.14.0 GPU image from AWS Deep Learning Containers. */\n  public static readonly DLC_TENSORFLOW_1_14_0 = LinuxGpuBuildImage.awsDeepLearningContainersImage('tensorflow-training',\n    '1.14.0-gpu-py36-cu100-ubuntu16.04');\n  /** Tensorflow 1.15.0 GPU image from AWS Deep Learning Containers. */\n  public static readonly DLC_TENSORFLOW_1_15_0 = LinuxGpuBuildImage.awsDeepLearningContainersImage('tensorflow-training',\n    '1.15.0-gpu-py36-cu100-ubuntu18.04');\n  /** Tensorflow 1.15.2 GPU training image from AWS Deep Learning Containers. */\n  public static readonly DLC_TENSORFLOW_1_15_2_TRAINING = LinuxGpuBuildImage.awsDeepLearningContainersImage('tensorflow-training',\n    '1.15.2-gpu-py37-cu100-ubuntu18.04');\n  /** Tensorflow 1.15.2 GPU inference image from AWS Deep Learning Containers. */\n  public static readonly DLC_TENSORFLOW_1_15_2_INFERENCE = LinuxGpuBuildImage.awsDeepLearningContainersImage('tensorflow-inference',\n    '1.15.2-gpu-py36-cu100-ubuntu18.04');\n  /** Tensorflow 2.0.0 GPU image from AWS Deep Learning Containers. */\n  public static readonly DLC_TENSORFLOW_2_0_0 = LinuxGpuBuildImage.awsDeepLearningContainersImage('tensorflow-training',\n    '2.0.0-gpu-py36-cu100-ubuntu18.04');\n  /** Tensorflow 2.0.1 GPU image from AWS Deep Learning Containers. */\n  public static readonly DLC_TENSORFLOW_2_0_1 = LinuxGpuBuildImage.awsDeepLearningContainersImage('tensorflow-training',\n    '2.0.1-gpu-py36-cu100-ubuntu18.04');\n  /** Tensorflow 2.1.0 GPU training image from AWS Deep Learning Containers. */\n  public static readonly DLC_TENSORFLOW_2_1_0_TRAINING = LinuxGpuBuildImage.awsDeepLearningContainersImage('tensorflow-training',\n    '2.1.0-gpu-py36-cu101-ubuntu18.04');\n  /** Tensorflow 2.1.0 GPU inference image from AWS Deep Learning Containers. */\n  public static readonly DLC_TENSORFLOW_2_1_0_INFERENCE = LinuxGpuBuildImage.awsDeepLearningContainersImage('tensorflow-inference',\n    '2.1.0-gpu-py36-cu101-ubuntu18.04');\n  /** Tensorflow 2.2.0 GPU training image from AWS Deep Learning Containers. */\n  public static readonly DLC_TENSORFLOW_2_2_0_TRAINING = LinuxGpuBuildImage.awsDeepLearningContainersImage('tensorflow-training',\n    '2.2.0-gpu-py37-cu101-ubuntu18.04');\n\n  /** PyTorch 1.2.0 GPU image from AWS Deep Learning Containers. */\n  public static readonly DLC_PYTORCH_1_2_0 = LinuxGpuBuildImage.awsDeepLearningContainersImage('pytorch-training',\n    '1.2.0-gpu-py36-cu100-ubuntu16.04');\n  /** PyTorch 1.3.1 GPU image from AWS Deep Learning Containers. */\n  public static readonly DLC_PYTORCH_1_3_1 = LinuxGpuBuildImage.awsDeepLearningContainersImage('pytorch-training',\n    '1.3.1-gpu-py36-cu101-ubuntu16.04');\n  /** PyTorch 1.4.0 GPU training image from AWS Deep Learning Containers. */\n  public static readonly DLC_PYTORCH_1_4_0_TRAINING = LinuxGpuBuildImage.awsDeepLearningContainersImage('pytorch-training',\n    '1.4.0-gpu-py36-cu101-ubuntu16.04');\n  /** PyTorch 1.4.0 GPU inference image from AWS Deep Learning Containers. */\n  public static readonly DLC_PYTORCH_1_4_0_INFERENCE = LinuxGpuBuildImage.awsDeepLearningContainersImage('pytorch-inference',\n    '1.4.0-gpu-py36-cu101-ubuntu16.04');\n  /** PyTorch 1.5.0 GPU training image from AWS Deep Learning Containers. */\n  public static readonly DLC_PYTORCH_1_5_0_TRAINING = LinuxGpuBuildImage.awsDeepLearningContainersImage('pytorch-training',\n    '1.5.0-gpu-py36-cu101-ubuntu16.04');\n  /** PyTorch 1.5.0 GPU inference image from AWS Deep Learning Containers. */\n  public static readonly DLC_PYTORCH_1_5_0_INFERENCE = LinuxGpuBuildImage.awsDeepLearningContainersImage('pytorch-inference',\n    '1.5.0-gpu-py36-cu101-ubuntu16.04');\n\n  /** MXNet 1.4.1 GPU image from AWS Deep Learning Containers. */\n  public static readonly DLC_MXNET_1_4_1 = LinuxGpuBuildImage.awsDeepLearningContainersImage('mxnet-training',\n    '1.4.1-gpu-py36-cu100-ubuntu16.04');\n  /** MXNet 1.6.0 GPU image from AWS Deep Learning Containers. */\n  public static readonly DLC_MXNET_1_6_0 = LinuxGpuBuildImage.awsDeepLearningContainersImage('mxnet-training',\n    '1.6.0-gpu-py36-cu101-ubuntu16.04');\n\n  /**\n   * Returns a Linux GPU build image from AWS Deep Learning Containers.\n   *\n   * @param repositoryName the name of the repository,\n   *   for example \"pytorch-inference\"\n   * @param tag the tag of the image, for example \"1.5.0-gpu-py36-cu101-ubuntu16.04\"\n   * @param account the AWS account ID where the DLC repository for this region is hosted in.\n   *   In many cases, the CDK can infer that for you, but for some newer region our information\n   *   might be out of date; in that case, you can specify the region explicitly using this optional parameter\n   * @see https://aws.amazon.com/releasenotes/available-deep-learning-containers-images\n   */\n  public static awsDeepLearningContainersImage(repositoryName: string, tag: string, account?: string): IBuildImage {\n    return new LinuxGpuBuildImage(repositoryName, tag, account);\n  }\n\n\n  /**\n   * Returns a GPU image running Linux from an ECR repository.\n   *\n   * NOTE: if the repository is external (i.e. imported), then we won't be able to add\n   * a resource policy statement for it so CodeBuild can pull the image.\n   *\n   * @see https://docs.aws.amazon.com/codebuild/latest/userguide/sample-ecr.html\n   *\n   * @param repository The ECR repository\n   * @param tag Image tag (default \"latest\")\n   */\n  public static fromEcrRepository(repository: ecr.IRepository, tag: string = 'latest'): IBuildImage {\n    return new LinuxGpuBuildImage(repository.repositoryName, tag, repository.env.account);\n  }\n\n  public readonly type = 'LINUX_GPU_CONTAINER';\n  public readonly defaultComputeType = ComputeType.LARGE;\n  public readonly imagePullPrincipalType?: ImagePullPrincipalType = ImagePullPrincipalType.SERVICE_ROLE;\n  public readonly imageId: string;\n\n  private _imageAccount?: string;\n\n  private constructor(private readonly repositoryName: string, tag: string, private readonly account: string | undefined) {\n    const imageAccount = account ?? core.Lazy.string({\n      produce: () => {\n        if (this._imageAccount === undefined) {\n          throw new Error('Make sure this \\'LinuxGpuBuildImage\\' is used in a CodeBuild Project construct');\n        }\n        return this._imageAccount;\n      },\n    });\n\n    // The value of imageId below *should* have been `Lazy.stringValue(() => repository.repositoryUriForTag(this.tag))`,\n    // but we can't change that anymore because someone somewhere might at this point have written code\n    // to do `image.imageId.includes('pytorch')` and changing this to a full-on token would break them.\n    this.imageId = `${imageAccount}.dkr.ecr.${core.Aws.REGION}.${core.Aws.URL_SUFFIX}/${repositoryName}:${tag}`;\n  }\n\n  public bind(scope: Construct, project: IProject, _options: BuildImageBindOptions): BuildImageConfig {\n    const account = this.account ?? core.Stack.of(scope).regionalFact(FactName.DLC_REPOSITORY_ACCOUNT);\n    const repository = ecr.Repository.fromRepositoryAttributes(scope, 'AwsDlcRepositoryCodeBuild', {\n      repositoryName: this.repositoryName,\n      repositoryArn: ecr.Repository.arnForLocalRepository(this.repositoryName, scope, account),\n    });\n\n    repository.grantPull(project);\n\n    this._imageAccount = account;\n\n    return {\n    };\n  }\n\n  public validate(buildEnvironment: BuildEnvironment): string[] {\n    const ret = [];\n    if (buildEnvironment.computeType &&\n        buildEnvironment.computeType !== ComputeType.LARGE) {\n      ret.push(`GPU images only support ComputeType '${ComputeType.LARGE}' - ` +\n        `'${buildEnvironment.computeType}' was given`);\n    }\n    return ret;\n  }\n\n  public runScriptBuildspec(entrypoint: string): BuildSpec {\n    return runScriptLinuxBuildSpec(entrypoint);\n  }\n}\n"]}