Fix ModuleNotFoundError: No module named 'skimage' when importing tor… #639
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| name: unit test | |
| on: | |
| push: | |
| branches: [ main ] | |
| pull_request: | |
| jobs: | |
| unit_tests: | |
| runs-on: ubuntu-latest | |
| strategy: | |
| matrix: | |
| python-version: [3.8, 3.9] | |
| steps: | |
| - name: Check out repo | |
| uses: actions/checkout@v2 | |
| - name: Setup conda env | |
| uses: conda-incubator/setup-miniconda@v2 | |
| with: | |
| miniconda-version: "latest" | |
| activate-environment: test | |
| python-version: ${{ matrix.python-version }} | |
| - name: Install dependencies | |
| shell: bash -l {0} | |
| run: | | |
| set -eux | |
| pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cpu | |
| pip install -r requirements.txt | |
| pip install -r dev-requirements.txt | |
| pip install --no-build-isolation -e ".[dev]" | |
| - name: Run unit tests with coverage | |
| shell: bash -l {0} | |
| run: | | |
| set -eux | |
| pytest --cov=. --cov-report xml tests -vv | |
| - name: Upload Coverage to Codecov | |
| uses: codecov/codecov-action@v2 | |
| gpu_unit_tests: | |
| runs-on: ${{ matrix.os }} | |
| strategy: | |
| matrix: | |
| os: [linux.8xlarge.nvidia.gpu] | |
| python-version: [3.8] | |
| cuda-tag: ["cu11"] | |
| steps: | |
| - name: Check out repo | |
| uses: actions/checkout@v2 | |
| - name: Setup conda env | |
| uses: conda-incubator/setup-miniconda@v2 | |
| with: | |
| miniconda-version: "latest" | |
| activate-environment: test | |
| python-version: ${{ matrix.python-version }} | |
| - name: Install nvidia driver, nvidia-docker runtime, set GPU_FLAG | |
| uses: pytorch/test-infra/.github/actions/setup-nvidia@main | |
| - name: Display EC2 information | |
| shell: bash | |
| run: | | |
| set -euo pipefail | |
| function get_ec2_metadata() { | |
| # Pulled from instance metadata endpoint for EC2 | |
| # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html | |
| category=$1 | |
| curl -fsSL "http://169.254.169.254/latest/meta-data/${category}" | |
| } | |
| echo "ami-id: $(get_ec2_metadata ami-id)" | |
| echo "instance-id: $(get_ec2_metadata instance-id)" | |
| echo "instance-type: $(get_ec2_metadata instance-type)" | |
| - name: Install dependencies | |
| shell: bash -l {0} | |
| run: | | |
| set -eux | |
| conda activate test | |
| pip install torch torchvision --extra-index-url https://download.pytorch.org/whl/cu117 | |
| # Use stable fbgemm-gpu | |
| pip uninstall -y fbgemm-gpu-nightly | |
| pip install fbgemm-gpu==0.2.0 | |
| pip install -r requirements.txt | |
| pip install -r dev-requirements.txt | |
| pip install --no-build-isolation -e ".[dev]" | |
| - name: Run unit tests with coverage | |
| shell: bash -l {0} | |
| run: | | |
| set -eux | |
| conda activate test | |
| pytest --timeout=60 --cov=. --cov-report xml -vv -rA -m "gpu_only or cpu_and_gpu" tests | |
| - name: Upload coverage to codecov | |
| uses: codecov/codecov-action@v2 |