config.yml 23.7 KB
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version: 2.1

#examples:
#https://github.com/facebookresearch/ParlAI/blob/master/.circleci/config.yml
#https://github.com/facebookresearch/hydra/blob/master/.circleci/config.yml
#https://github.com/facebookresearch/habitat-api/blob/master/.circleci/config.yml

#drive tests with nox or tox or pytest?

# -------------------------------------------------------------------------------------
# environments where we run our jobs
# -------------------------------------------------------------------------------------


setupcuda: &setupcuda
  run:
    name: Setup CUDA
    working_directory: ~/
    command: |
      # download and install nvidia drivers, cuda, etc
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      wget --no-verbose --no-clobber -P ~/nvidia-downloads https://developer.download.nvidia.com/compute/cuda/11.3.1/local_installers/cuda_11.3.1_465.19.01_linux.run
      sudo sh ~/nvidia-downloads/cuda_11.3.1_465.19.01_linux.run --silent
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      echo "Done installing CUDA."
      pyenv versions
      nvidia-smi
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      pyenv global 3.9.1
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binary_common: &binary_common
  parameters:
    # Edit these defaults to do a release`
    build_version:
      description: "version number of release binary; by default, build a nightly"
      type: string
      default: ""
    pytorch_version:
      description: "PyTorch version to build against; by default, use a nightly"
      type: string
      default: ""
    # Don't edit these
    python_version:
      description: "Python version to build against (e.g., 3.7)"
      type: string
    cu_version:
      description: "CUDA version to build against, in CU format (e.g., cpu or cu100)"
      type: string
    wheel_docker_image:
      description: "Wheel only: what docker image to use"
      type: string
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      default: "pytorch/manylinux-cuda101"
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    conda_docker_image:
      description: "what docker image to use for docker"
      type: string
      default: "pytorch/conda-cuda"
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  environment:
    PYTHON_VERSION: << parameters.python_version >>
    BUILD_VERSION: << parameters.build_version >>
    PYTORCH_VERSION: << parameters.pytorch_version >>
    CU_VERSION: << parameters.cu_version >>
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    TESTRUN_DOCKER_IMAGE: << parameters.conda_docker_image >>
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jobs:
  main:
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    environment:
      CUDA_VERSION: "11.3"
    resource_class: gpu.nvidia.small.multi
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    machine:
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      image: ubuntu-2004:202101-01
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    steps:
      - checkout
      - <<: *setupcuda
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      - run: pip3 install --progress-bar off imageio wheel matplotlib 'pillow<7'
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      - run: pip3 install --progress-bar off torch==1.10.0+cu113 torchvision==0.11.1+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html
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      # - run: conda create -p ~/conda_env python=3.7 numpy
      # - run: conda activate ~/conda_env
      # - run: conda install -c pytorch pytorch torchvision

      - run: pip3 install --progress-bar off 'git+https://github.com/facebookresearch/fvcore'
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      - run: pip3 install --progress-bar off 'git+https://github.com/facebookresearch/iopath'
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      - run:
          name: build
          command: |
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            export LD_LIBRARY_PATH=$LD_LIBARY_PATH:/usr/local/cuda-11.3/lib64
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            python3 setup.py build_ext --inplace
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      - run: LD_LIBRARY_PATH=$LD_LIBARY_PATH:/usr/local/cuda-11.3/lib64 python -m unittest discover -v -s tests -t .
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      - run: python3 setup.py bdist_wheel

  binary_linux_wheel:
    <<: *binary_common
    docker:
      - image: << parameters.wheel_docker_image >>
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        auth:
          username: $DOCKERHUB_USERNAME
          password: $DOCKERHUB_TOKEN
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    resource_class: 2xlarge+
    steps:
      - checkout
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      - run: MAX_JOBS=15 packaging/build_wheel.sh
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      - store_artifacts:
          path: dist
      - persist_to_workspace:
          root: dist
          paths:
            - "*"

  binary_linux_conda:
    <<: *binary_common
    docker:
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      - image: "<< parameters.conda_docker_image >>"
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        auth:
          username: $DOCKERHUB_USERNAME
          password: $DOCKERHUB_TOKEN
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    resource_class: 2xlarge+
    steps:
      - checkout
      # This is building with cuda but no gpu present,
      # so we aren't running the tests.
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      - run:
          name: build
          no_output_timeout: 20m
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          command: MAX_JOBS=15 TEST_FLAG=--no-test python3 packaging/build_conda.py
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      - store_artifacts:
          path: /opt/conda/conda-bld/linux-64
      - persist_to_workspace:
          root: /opt/conda/conda-bld/linux-64
          paths:
            - "*"

  binary_linux_conda_cuda:
    <<: *binary_common
    machine:
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      image: ubuntu-1604-cuda-10.2:202012-01
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    resource_class: gpu.nvidia.small.multi
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    steps:
    - checkout

    - run:
        name: Pull docker image
        command: |
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          nvidia-smi
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          set -e
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          { docker login -u="$DOCKERHUB_USERNAME" -p="$DOCKERHUB_TOKEN" ; } 2> /dev/null

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          echo Pulling docker image $TESTRUN_DOCKER_IMAGE
          docker pull $TESTRUN_DOCKER_IMAGE
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    - run:
        name: Build and run tests
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        no_output_timeout: 20m
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        command: |
          set -e

          cd ${HOME}/project/

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          export JUST_TESTRUN=1
          VARS_TO_PASS="-e PYTHON_VERSION -e BUILD_VERSION -e PYTORCH_VERSION -e CU_VERSION -e JUST_TESTRUN"
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          docker run --gpus all  --ipc=host -v $(pwd):/remote -w /remote ${VARS_TO_PASS} ${TESTRUN_DOCKER_IMAGE} python3 ./packaging/build_conda.py
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  binary_macos_wheel:
    <<: *binary_common
    macos:
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      xcode: "13.4.1"
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    steps:
      - checkout
      - run:
          # Cannot easily deduplicate this as source'ing activate
          # will set environment variables which we need to propagate
          # to build_wheel.sh
          command: |
            curl -o conda.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh
            sh conda.sh -b
            source $HOME/miniconda3/bin/activate
            packaging/build_wheel.sh
      - store_artifacts:
          path: dist

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workflows:
  version: 2
  build_and_test:
    jobs:
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      # - main:
      #     context: DOCKERHUB_TOKEN
      - binary_linux_conda:
          context: DOCKERHUB_TOKEN
          cu_version: cu102
          name: linux_conda_py38_cu102_pyt1100
          python_version: '3.8'
          pytorch_version: 1.10.0
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      - binary_linux_conda:
          context: DOCKERHUB_TOKEN
          cu_version: cu111
          name: linux_conda_py38_cu111_pyt1100
          python_version: '3.8'
          pytorch_version: 1.10.0
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      - binary_linux_conda:
          conda_docker_image: pytorch/conda-builder:cuda113
          context: DOCKERHUB_TOKEN
          cu_version: cu113
          name: linux_conda_py38_cu113_pyt1100
          python_version: '3.8'
          pytorch_version: 1.10.0
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      - binary_linux_conda:
          context: DOCKERHUB_TOKEN
          cu_version: cu102
          name: linux_conda_py38_cu102_pyt1101
          python_version: '3.8'
          pytorch_version: 1.10.1
      - binary_linux_conda:
          context: DOCKERHUB_TOKEN
          cu_version: cu111
          name: linux_conda_py38_cu111_pyt1101
          python_version: '3.8'
          pytorch_version: 1.10.1
      - binary_linux_conda:
          conda_docker_image: pytorch/conda-builder:cuda113
          context: DOCKERHUB_TOKEN
          cu_version: cu113
          name: linux_conda_py38_cu113_pyt1101
          python_version: '3.8'
          pytorch_version: 1.10.1
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      - binary_linux_conda:
          context: DOCKERHUB_TOKEN
          cu_version: cu102
          name: linux_conda_py38_cu102_pyt1102
          python_version: '3.8'
          pytorch_version: 1.10.2
      - binary_linux_conda:
          context: DOCKERHUB_TOKEN
          cu_version: cu111
          name: linux_conda_py38_cu111_pyt1102
          python_version: '3.8'
          pytorch_version: 1.10.2
      - binary_linux_conda:
          conda_docker_image: pytorch/conda-builder:cuda113
          context: DOCKERHUB_TOKEN
          cu_version: cu113
          name: linux_conda_py38_cu113_pyt1102
          python_version: '3.8'
          pytorch_version: 1.10.2
      - binary_linux_conda:
          context: DOCKERHUB_TOKEN
          cu_version: cu102
          name: linux_conda_py38_cu102_pyt1110
          python_version: '3.8'
          pytorch_version: 1.11.0
      - binary_linux_conda:
          context: DOCKERHUB_TOKEN
          cu_version: cu111
          name: linux_conda_py38_cu111_pyt1110
          python_version: '3.8'
          pytorch_version: 1.11.0
      - binary_linux_conda:
          conda_docker_image: pytorch/conda-builder:cuda113
          context: DOCKERHUB_TOKEN
          cu_version: cu113
          name: linux_conda_py38_cu113_pyt1110
          python_version: '3.8'
          pytorch_version: 1.11.0
      - binary_linux_conda:
          conda_docker_image: pytorch/conda-builder:cuda115
          context: DOCKERHUB_TOKEN
          cu_version: cu115
          name: linux_conda_py38_cu115_pyt1110
          python_version: '3.8'
          pytorch_version: 1.11.0
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      - binary_linux_conda:
          context: DOCKERHUB_TOKEN
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          cu_version: cu102
          name: linux_conda_py38_cu102_pyt1120
          python_version: '3.8'
          pytorch_version: 1.12.0
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      - binary_linux_conda:
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          conda_docker_image: pytorch/conda-builder:cuda113
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          context: DOCKERHUB_TOKEN
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          cu_version: cu113
          name: linux_conda_py38_cu113_pyt1120
          python_version: '3.8'
          pytorch_version: 1.12.0
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      - binary_linux_conda:
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          conda_docker_image: pytorch/conda-builder:cuda116
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          context: DOCKERHUB_TOKEN
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          cu_version: cu116
          name: linux_conda_py38_cu116_pyt1120
          python_version: '3.8'
          pytorch_version: 1.12.0
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      - binary_linux_conda:
          context: DOCKERHUB_TOKEN
          cu_version: cu102
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          name: linux_conda_py38_cu102_pyt1121
          python_version: '3.8'
          pytorch_version: 1.12.1
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      - binary_linux_conda:
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          conda_docker_image: pytorch/conda-builder:cuda113
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          context: DOCKERHUB_TOKEN
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          cu_version: cu113
          name: linux_conda_py38_cu113_pyt1121
          python_version: '3.8'
          pytorch_version: 1.12.1
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      - binary_linux_conda:
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          conda_docker_image: pytorch/conda-builder:cuda116
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          context: DOCKERHUB_TOKEN
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          cu_version: cu116
          name: linux_conda_py38_cu116_pyt1121
          python_version: '3.8'
          pytorch_version: 1.12.1
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      - binary_linux_conda:
          conda_docker_image: pytorch/conda-builder:cuda116
          context: DOCKERHUB_TOKEN
          cu_version: cu116
          name: linux_conda_py38_cu116_pyt1130
          python_version: '3.8'
          pytorch_version: 1.13.0
      - binary_linux_conda:
          conda_docker_image: pytorch/conda-builder:cuda117
          context: DOCKERHUB_TOKEN
          cu_version: cu117
          name: linux_conda_py38_cu117_pyt1130
          python_version: '3.8'
          pytorch_version: 1.13.0
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      - binary_linux_conda:
          conda_docker_image: pytorch/conda-builder:cuda116
          context: DOCKERHUB_TOKEN
          cu_version: cu116
          name: linux_conda_py38_cu116_pyt1131
          python_version: '3.8'
          pytorch_version: 1.13.1
      - binary_linux_conda:
          conda_docker_image: pytorch/conda-builder:cuda117
          context: DOCKERHUB_TOKEN
          cu_version: cu117
          name: linux_conda_py38_cu117_pyt1131
          python_version: '3.8'
          pytorch_version: 1.13.1
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      - binary_linux_conda:
          conda_docker_image: pytorch/conda-builder:cuda117
          context: DOCKERHUB_TOKEN
          cu_version: cu117
          name: linux_conda_py38_cu117_pyt200
          python_version: '3.8'
          pytorch_version: 2.0.0
      - binary_linux_conda:
          conda_docker_image: pytorch/conda-builder:cuda118
          context: DOCKERHUB_TOKEN
          cu_version: cu118
          name: linux_conda_py38_cu118_pyt200
          python_version: '3.8'
          pytorch_version: 2.0.0
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      - binary_linux_conda:
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          conda_docker_image: pytorch/conda-builder:cuda117
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          context: DOCKERHUB_TOKEN
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          cu_version: cu117
          name: linux_conda_py38_cu117_pyt201
          python_version: '3.8'
          pytorch_version: 2.0.1
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      - binary_linux_conda:
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          conda_docker_image: pytorch/conda-builder:cuda118
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          context: DOCKERHUB_TOKEN
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          cu_version: cu118
          name: linux_conda_py38_cu118_pyt201
          python_version: '3.8'
          pytorch_version: 2.0.1
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      - binary_linux_conda:
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          context: DOCKERHUB_TOKEN
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          cu_version: cu102
          name: linux_conda_py39_cu102_pyt1100
          python_version: '3.9'
          pytorch_version: 1.10.0
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      - binary_linux_conda:
          context: DOCKERHUB_TOKEN
          cu_version: cu111
          name: linux_conda_py39_cu111_pyt1100
          python_version: '3.9'
          pytorch_version: 1.10.0
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      - binary_linux_conda:
          conda_docker_image: pytorch/conda-builder:cuda113
          context: DOCKERHUB_TOKEN
          cu_version: cu113
          name: linux_conda_py39_cu113_pyt1100
          python_version: '3.9'
          pytorch_version: 1.10.0
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      - binary_linux_conda:
          context: DOCKERHUB_TOKEN
          cu_version: cu102
          name: linux_conda_py39_cu102_pyt1101
          python_version: '3.9'
          pytorch_version: 1.10.1
      - binary_linux_conda:
          context: DOCKERHUB_TOKEN
          cu_version: cu111
          name: linux_conda_py39_cu111_pyt1101
          python_version: '3.9'
          pytorch_version: 1.10.1
      - binary_linux_conda:
          conda_docker_image: pytorch/conda-builder:cuda113
          context: DOCKERHUB_TOKEN
          cu_version: cu113
          name: linux_conda_py39_cu113_pyt1101
          python_version: '3.9'
          pytorch_version: 1.10.1
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      - binary_linux_conda:
          context: DOCKERHUB_TOKEN
          cu_version: cu102
          name: linux_conda_py39_cu102_pyt1102
          python_version: '3.9'
          pytorch_version: 1.10.2
      - binary_linux_conda:
          context: DOCKERHUB_TOKEN
          cu_version: cu111
          name: linux_conda_py39_cu111_pyt1102
          python_version: '3.9'
          pytorch_version: 1.10.2
      - binary_linux_conda:
          conda_docker_image: pytorch/conda-builder:cuda113
          context: DOCKERHUB_TOKEN
          cu_version: cu113
          name: linux_conda_py39_cu113_pyt1102
          python_version: '3.9'
          pytorch_version: 1.10.2
      - binary_linux_conda:
          context: DOCKERHUB_TOKEN
          cu_version: cu102
          name: linux_conda_py39_cu102_pyt1110
          python_version: '3.9'
          pytorch_version: 1.11.0
      - binary_linux_conda:
          context: DOCKERHUB_TOKEN
          cu_version: cu111
          name: linux_conda_py39_cu111_pyt1110
          python_version: '3.9'
          pytorch_version: 1.11.0
      - binary_linux_conda:
          conda_docker_image: pytorch/conda-builder:cuda113
          context: DOCKERHUB_TOKEN
          cu_version: cu113
          name: linux_conda_py39_cu113_pyt1110
          python_version: '3.9'
          pytorch_version: 1.11.0
      - binary_linux_conda:
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      - binary_linux_conda:
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      - binary_linux_conda:
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      - binary_linux_conda:
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      - binary_linux_conda:
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      - binary_linux_conda:
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      - binary_linux_conda_cuda:
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          name: testrun_conda_cuda_py38_cu102_pyt190
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          context: DOCKERHUB_TOKEN
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          python_version: "3.8"
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