account_id: &ACCOUNT_ID <set-$ACCOUNT_ID-in-environment>
  region: &REGION <set-$REGION-in-environment>
  framework: &FRAMEWORK pytorch
  version: &VERSION 1.5.1
  arch_type: x86


  repository_info:
    inference_repository: &INFERENCE_REPOSITORY
        image_type: &INFERENCE_IMAGE_TYPE inference
        root: !join [ *FRAMEWORK, "/", *INFERENCE_IMAGE_TYPE ]
        repository_name: &REPOSITORY_NAME !join [pr, "-", *FRAMEWORK, "-", *INFERENCE_IMAGE_TYPE, "-", eia]
        repository: &REPOSITORY !join [ *ACCOUNT_ID, .dkr.ecr., *REGION, .amazonaws.com/, *REPOSITORY_NAME ]

  context:
    inference_context: &INFERENCE_CONTEXT
      mms-entrypoint:
        source: docker/build_artifacts/mms-entrypoint.py
        target: mms-entrypoint.py
      config:
        source: docker/build_artifacts/config.properties
        target: config.properties
      default-handlers:
        source: docker/build_artifacts/default_inference_handler.py
        target: default_inference_handler.py

  images:
    BuildEIAPTInferencePy3DockerImage:
      <<: *INFERENCE_REPOSITORY
      build: &PYTORCH_CPU_INFERENCE_PY3 false
      image_size_baseline: 6318
      device_type: &DEVICE_TYPE eia
      python_version: &DOCKER_PYTHON_VERSION py38
      tag_python_version: &TAG_PYTHON_VERSION py38
      os_version: &OS_VERSION ubuntu20.04
      tag: !join [ *VERSION, "-", "cpu", "-", *TAG_PYTHON_VERSION, "-", *OS_VERSION ]
      docker_file: !join [ docker/, *VERSION, /, *DOCKER_PYTHON_VERSION, /Dockerfile., eia ]
      context:
        <<: *INFERENCE_CONTEXT