Construct Hub

• Implements: IBindableBuildImage

A CodeBuild GPU image running Linux.

This class has public constants that represent the most popular GPU images from AWS Deep Learning Containers.

https://aws.amazon.com/releasenotes/available-deep-learning-containers-images

Example

Project.Builder.create(this, "Project")
        .environment(BuildEnvironment.builder()
                .buildImage(LinuxGpuBuildImage.DLC_TENSORFLOW_2_1_0_INFERENCE)
                .build())
        .build();

public BuildImageConfig bind(Construct scope, IProject project, BuildImageBindOptions _options)

Function that allows the build image access to the construct tree.

• Type: Construct

• Type: IProject

• Type: BuildImageBindOptions

public BuildSpec runScriptBuildspec(java.lang.String entrypoint)

Make a buildspec to run the indicated script.

• Type: java.lang.String

public java.util.List<java.lang.String> validate(BuildEnvironment buildEnvironment)

Allows the image a chance to validate whether the passed configuration is correct.

• Type: BuildEnvironment

import software.amazon.awscdk.services.codebuild.LinuxGpuBuildImage;

LinuxGpuBuildImage.awsDeepLearningContainersImage(java.lang.String repositoryName, java.lang.String tag),LinuxGpuBuildImage.awsDeepLearningContainersImage(java.lang.String repositoryName, java.lang.String tag, java.lang.String account)

Returns a Linux GPU build image from AWS Deep Learning Containers.

https://aws.amazon.com/releasenotes/available-deep-learning-containers-images

• Type: java.lang.String

the name of the repository, for example "pytorch-inference".

• Type: java.lang.String

the tag of the image, for example "1.5.0-gpu-py36-cu101-ubuntu16.04".

• Type: java.lang.String

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In many cases, the CDK can infer that for you, but for some newer region our information might be out of date; in that case, you can specify the region explicitly using this optional parameter

import software.amazon.awscdk.services.codebuild.LinuxGpuBuildImage;

LinuxGpuBuildImage.fromEcrRepository(IRepository repository),LinuxGpuBuildImage.fromEcrRepository(IRepository repository, java.lang.String tag)

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.

https://docs.aws.amazon.com/codebuild/latest/userguide/sample-ecr.html

• Type: IRepository

The ECR repository.

• Type: java.lang.String

Image tag (default "latest").

public ComputeType getDefaultComputeType();

• Type: ComputeType

The default ComputeType to use with this image, if one was not specified in BuildEnvironment#computeType explicitly.

public java.lang.String getImageId();

• Type: java.lang.String

The Docker image identifier that the build environment uses.

public java.lang.String getType();

• Type: java.lang.String

The type of build environment.

public ImagePullPrincipalType getImagePullPrincipalType();

• Type: ImagePullPrincipalType

The type of principal that CodeBuild will use to pull this build Docker image.

public IBuildImage getDlcMxnet141();

• Type: IBuildImage

MXNet 1.4.1 GPU image from AWS Deep Learning Containers.

public IBuildImage getDlcMxnet160();

• Type: IBuildImage

MXNet 1.6.0 GPU image from AWS Deep Learning Containers.

public IBuildImage getDlcPytorch120();

• Type: IBuildImage

PyTorch 1.2.0 GPU image from AWS Deep Learning Containers.

public IBuildImage getDlcPytorch131();

• Type: IBuildImage

PyTorch 1.3.1 GPU image from AWS Deep Learning Containers.

public IBuildImage getDlcPytorch140Inference();

• Type: IBuildImage

PyTorch 1.4.0 GPU inference image from AWS Deep Learning Containers.

public IBuildImage getDlcPytorch140Training();

• Type: IBuildImage

PyTorch 1.4.0 GPU training image from AWS Deep Learning Containers.

public IBuildImage getDlcPytorch150Inference();

• Type: IBuildImage

PyTorch 1.5.0 GPU inference image from AWS Deep Learning Containers.

public IBuildImage getDlcPytorch150Training();

• Type: IBuildImage

PyTorch 1.5.0 GPU training image from AWS Deep Learning Containers.

public IBuildImage getDlcTensorflow1140();

• Type: IBuildImage

Tensorflow 1.14.0 GPU image from AWS Deep Learning Containers.

public IBuildImage getDlcTensorflow1150();

• Type: IBuildImage

Tensorflow 1.15.0 GPU image from AWS Deep Learning Containers.

public IBuildImage getDlcTensorflow1152Inference();

• Type: IBuildImage

Tensorflow 1.15.2 GPU inference image from AWS Deep Learning Containers.

public IBuildImage getDlcTensorflow1152Training();

• Type: IBuildImage

Tensorflow 1.15.2 GPU training image from AWS Deep Learning Containers.

public IBuildImage getDlcTensorflow200();

• Type: IBuildImage

Tensorflow 2.0.0 GPU image from AWS Deep Learning Containers.

public IBuildImage getDlcTensorflow201();

• Type: IBuildImage

Tensorflow 2.0.1 GPU image from AWS Deep Learning Containers.

public IBuildImage getDlcTensorflow210Inference();

• Type: IBuildImage

Tensorflow 2.1.0 GPU inference image from AWS Deep Learning Containers.

public IBuildImage getDlcTensorflow210Training();

• Type: IBuildImage

Tensorflow 2.1.0 GPU training image from AWS Deep Learning Containers.

public IBuildImage getDlcTensorflow220Training();

• Type: IBuildImage

Tensorflow 2.2.0 GPU training image from AWS Deep Learning Containers.