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Showing content from https://docs.aws.amazon.com/cdk/api/v2/docs/aws-cdk-lib.aws_codebuild.LinuxGpuBuildImage.html below:

class LinuxGpuBuildImage Â· AWS CDK

class LinuxGpuBuildImage Implements IBindableBuildImage, IBuildImage A CodeBuild GPU image running Linux. This class has public constants that represent the most popular GPU images from AWS Deep Learning Containers. See also: https://aws.amazon.com/releasenotes/available-deep-learning-containers-images Example new codebuild.Project(this, 'Project', { environment: { buildImage: codebuild.LinuxGpuBuildImage.DLC_TENSORFLOW_2_1_0_INFERENCE, }, }) Properties Name Type Description defaultComputeType ComputeType The default ComputeType to use with this image, if one was not specified in BuildEnvironment#computeType explicitly. imageId string The Docker image identifier that the build environment uses. type string The type of build environment. imagePullPrincipalType? ImagePullPrincipalType The type of principal that CodeBuild will use to pull this build Docker image. static DLC_MXNET_1_4_1 IBuildImage MXNet 1.4.1 GPU image from AWS Deep Learning Containers. static DLC_MXNET_1_6_0 IBuildImage MXNet 1.6.0 GPU image from AWS Deep Learning Containers. static DLC_PYTORCH_1_2_0 IBuildImage PyTorch 1.2.0 GPU image from AWS Deep Learning Containers. static DLC_PYTORCH_1_3_1 IBuildImage PyTorch 1.3.1 GPU image from AWS Deep Learning Containers. static DLC_PYTORCH_1_4_0_INFERENCE IBuildImage PyTorch 1.4.0 GPU inference image from AWS Deep Learning Containers. static DLC_PYTORCH_1_4_0_TRAINING IBuildImage PyTorch 1.4.0 GPU training image from AWS Deep Learning Containers. static DLC_PYTORCH_1_5_0_INFERENCE IBuildImage PyTorch 1.5.0 GPU inference image from AWS Deep Learning Containers. static DLC_PYTORCH_1_5_0_TRAINING IBuildImage PyTorch 1.5.0 GPU training image from AWS Deep Learning Containers. static DLC_TENSORFLOW_1_14_0 IBuildImage Tensorflow 1.14.0 GPU image from AWS Deep Learning Containers. static DLC_TENSORFLOW_1_15_0 IBuildImage Tensorflow 1.15.0 GPU image from AWS Deep Learning Containers. static DLC_TENSORFLOW_1_15_2_INFERENCE IBuildImage Tensorflow 1.15.2 GPU inference image from AWS Deep Learning Containers. static DLC_TENSORFLOW_1_15_2_TRAINING IBuildImage Tensorflow 1.15.2 GPU training image from AWS Deep Learning Containers. static DLC_TENSORFLOW_2_0_0 IBuildImage Tensorflow 2.0.0 GPU image from AWS Deep Learning Containers. static DLC_TENSORFLOW_2_0_1 IBuildImage Tensorflow 2.0.1 GPU image from AWS Deep Learning Containers. static DLC_TENSORFLOW_2_1_0_INFERENCE IBuildImage Tensorflow 2.1.0 GPU inference image from AWS Deep Learning Containers. static DLC_TENSORFLOW_2_1_0_TRAINING IBuildImage Tensorflow 2.1.0 GPU training image from AWS Deep Learning Containers. static DLC_TENSORFLOW_2_2_0_TRAINING IBuildImage Tensorflow 2.2.0 GPU training image from AWS Deep Learning Containers. defaultComputeType Type: ComputeType The default ComputeType to use with this image, if one was not specified in BuildEnvironment#computeType explicitly. imageId Type: string The Docker image identifier that the build environment uses. type Type: string The type of build environment. imagePullPrincipalType? Type: ImagePullPrincipalType (optional) The type of principal that CodeBuild will use to pull this build Docker image. static DLC_MXNET_1_4_1 Type: IBuildImage MXNet 1.4.1 GPU image from AWS Deep Learning Containers. static DLC_MXNET_1_6_0 Type: IBuildImage MXNet 1.6.0 GPU image from AWS Deep Learning Containers. static DLC_PYTORCH_1_2_0 Type: IBuildImage PyTorch 1.2.0 GPU image from AWS Deep Learning Containers. static DLC_PYTORCH_1_3_1 Type: IBuildImage PyTorch 1.3.1 GPU image from AWS Deep Learning Containers. static DLC_PYTORCH_1_4_0_INFERENCE Type: IBuildImage PyTorch 1.4.0 GPU inference image from AWS Deep Learning Containers. static DLC_PYTORCH_1_4_0_TRAINING Type: IBuildImage PyTorch 1.4.0 GPU training image from AWS Deep Learning Containers. static DLC_PYTORCH_1_5_0_INFERENCE Type: IBuildImage PyTorch 1.5.0 GPU inference image from AWS Deep Learning Containers. static DLC_PYTORCH_1_5_0_TRAINING Type: IBuildImage PyTorch 1.5.0 GPU training image from AWS Deep Learning Containers. static DLC_TENSORFLOW_1_14_0 Type: IBuildImage Tensorflow 1.14.0 GPU image from AWS Deep Learning Containers. static DLC_TENSORFLOW_1_15_0 Type: IBuildImage Tensorflow 1.15.0 GPU image from AWS Deep Learning Containers. static DLC_TENSORFLOW_1_15_2_INFERENCE Type: IBuildImage Tensorflow 1.15.2 GPU inference image from AWS Deep Learning Containers. static DLC_TENSORFLOW_1_15_2_TRAINING Type: IBuildImage Tensorflow 1.15.2 GPU training image from AWS Deep Learning Containers. static DLC_TENSORFLOW_2_0_0 Type: IBuildImage Tensorflow 2.0.0 GPU image from AWS Deep Learning Containers. static DLC_TENSORFLOW_2_0_1 Type: IBuildImage Tensorflow 2.0.1 GPU image from AWS Deep Learning Containers. static DLC_TENSORFLOW_2_1_0_INFERENCE Type: IBuildImage Tensorflow 2.1.0 GPU inference image from AWS Deep Learning Containers. static DLC_TENSORFLOW_2_1_0_TRAINING Type: IBuildImage Tensorflow 2.1.0 GPU training image from AWS Deep Learning Containers. static DLC_TENSORFLOW_2_2_0_TRAINING Type: IBuildImage Tensorflow 2.2.0 GPU training image from AWS Deep Learning Containers. Methods Name Description bind(scope, project, _options) Function that allows the build image access to the construct tree. runScriptBuildspec(entrypoint) Make a buildspec to run the indicated script. validate(buildEnvironment) Allows the image a chance to validate whether the passed configuration is correct. static awsDeepLearningContainersImage(repositoryName, tag, account?) Returns a Linux GPU build image from AWS Deep Learning Containers. static fromEcrRepository(repository, tag?) Returns a GPU image running Linux from an ECR repository. bind(scope, project, _options) public bind(scope: Construct, project: IProject, _options: BuildImageBindOptions): BuildImageConfig Parameters scope Construct project IProject _options BuildImageBindOptions Returns BuildImageConfig Function that allows the build image access to the construct tree. runScriptBuildspec(entrypoint) public runScriptBuildspec(entrypoint: string): BuildSpec Parameters entrypoint string Returns BuildSpec Make a buildspec to run the indicated script. validate(buildEnvironment) public validate(buildEnvironment: BuildEnvironment): string[] Parameters buildEnvironment BuildEnvironment Returns string[] Allows the image a chance to validate whether the passed configuration is correct. static awsDeepLearningContainersImage(repositoryName, tag, account?) public static awsDeepLearningContainersImage(repositoryName: string, tag: string, account?: string): IBuildImage Parameters repositoryName string â the name of the repository, for example "pytorch-inference". tag string â the tag of the image, for example "1.5.0-gpu-py36-cu101-ubuntu16.04". account string â the AWS account ID where the DLC repository for this region is hosted in. Returns IBuildImage Returns a Linux GPU build image from AWS Deep Learning Containers. See also: https://aws.amazon.com/releasenotes/available-deep-learning-containers-images static fromEcrRepository(repository, tag?) public static fromEcrRepository(repository: IRepository, tag?: string): IBuildImage Parameters repository IRepository â The ECR repository. tag string â Image tag (default "latest"). Returns IBuildImage 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 also: https://docs.aws.amazon.com/codebuild/latest/userguide/sample-ecr.html

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