account_id: &ACCOUNT_ID <set-$ACCOUNT_ID-in-environment>
region: &REGION <set-$REGION-in-environment>
base_framework: &BASE_FRAMEWORK pytorch
framework: &FRAMEWORK !join [ *BASE_FRAMEWORK, "_trcomp"]
version: &VERSION 1.13.1
short_version: &SHORT_VERSION "1.13"
arch_type: x86

repository_info:
  training_repository: &TRAINING_REPOSITORY
    image_type: &TRAINING_IMAGE_TYPE training
    root: !join [ *BASE_FRAMEWORK, "/", *TRAINING_IMAGE_TYPE ]
    repository_name: &REPOSITORY_NAME !join ["pr", "-", *BASE_FRAMEWORK, "-", "trcomp", "-", *TRAINING_IMAGE_TYPE]
    repository: &REPOSITORY !join [ *ACCOUNT_ID, .dkr.ecr., *REGION, .amazonaws.com/, *REPOSITORY_NAME ]

images:
  BuildPytorchTrCompGpuPy39Cu117TrainingDockerImage:
    <<: *TRAINING_REPOSITORY
    build: &PYTORCH_TRCOMP_GPU_TRAINING_PY3 false
    image_size_baseline: &IMAGE_SIZE_BASELINE 18000
    device_type: &DEVICE_TYPE gpu
    python_version: &DOCKER_PYTHON_VERSION py3
    tag_python_version: &TAG_PYTHON_VERSION py39
    cuda_version: &CUDA_VERSION cu117
    os_version: &OS_VERSION ubuntu20.04
    tag: !join [ *VERSION, "-", *DEVICE_TYPE, "-", *TAG_PYTHON_VERSION, "-", *CUDA_VERSION, "-", *OS_VERSION, "-sagemaker" ]
    docker_file: !join [ docker/, *SHORT_VERSION, /, *DOCKER_PYTHON_VERSION, /, *CUDA_VERSION, /Dockerfile.trcomp., *DEVICE_TYPE ]
    target: sagemaker