зеркало из https://github.com/microsoft/hi-ml.git
ENH: Run tests for histopathology folder in Conda environment (#487)
Tests for histopathology use a hacky environment build from only the pip section of the Conda environment. Switch tests to using a full Conda environment.
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name: 'Hi-ml-cpath environment setup'
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description: 'Set up environment hi-ml-cpath workflows'
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runs:
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using: "composite"
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steps:
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- name: Create AzureML config.json file
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shell: bash
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run: ./create_config.sh
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# Use a cache action to save the full conda environment, so that we don't have to reinstall it every time.
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# Paths are tied to the location of the miniconda installation, and may need adjustment on a different OS.
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- name: Retrieve cached Conda environment
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id: cache-conda
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uses: actions/cache@v3
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with:
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path: /usr/share/miniconda/envs/HimlHisto
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key: hi-ml-cpath-conda-${{ hashFiles('hi-ml-cpath/environment.yml') }}
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# If the cache action didn't find a cache, then install the conda environment afresh.
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- name: Build Conda environment from scratch
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uses: conda-incubator/setup-miniconda@v2
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if: steps.cache-conda.outputs.cache-hit != 'true'
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with:
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environment-file: hi-ml-cpath/environment.yml
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# Modify the path to point to the cached Conda environment. This is effectively also what `conda activate` does.
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- name: Activate cached environment
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shell: bash
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if: steps.cache-conda.outputs.cache-hit == 'true'
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run: echo "/usr/share/miniconda/envs/HimlHisto/bin" >> $GITHUB_PATH
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- name: Conda info
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shell: bash
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run: conda info
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- name: Install hi-ml locally
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shell: bash
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run: |
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cd hi-ml
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make pip_local
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- name: Install hi-ml-azure locally
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shell: bash
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run: |
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cd hi-ml-azure
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make pip_local
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@ -1,31 +0,0 @@
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name: 'Smoke test environment setup'
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description: 'Set up environment for running smoke tests'
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runs:
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using: "composite"
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steps:
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- name: create config file
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shell: bash
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run: ./create_config.sh
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- name: Set up Python ${{ env.pythonVersion }}
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uses: actions/setup-python@v4
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with:
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python-version: ${{ env.pythonVersion }}
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- name: Install required packages
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shell: bash
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run: |
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cd ${{ env.folder }}
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make pip_from_conda
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- name: Install hi-ml locally
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shell: bash
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run: |
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cd hi-ml
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make pip_local
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- name: Install hi-ml-azure locally
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shell: bash
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run: |
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cd hi-ml-azure
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make pip_local
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@ -69,30 +69,8 @@ jobs:
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with:
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lfs: true
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- name: Set up Python ${{ env.pythonVersion }}
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uses: actions/setup-python@v4
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with:
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python-version: ${{ env.pythonVersion }}
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- name: PIP upgrade
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run: |
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cd ${{ env.folder }}
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make pip_upgrade
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- name: Install required packages
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run: |
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cd ${{ env.folder }}
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make pip_from_conda
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- name: Install hi-ml locally
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run: |
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cd hi-ml
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make pip_local
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- name: Install hi-ml-azure locally
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run: |
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cd hi-ml-azure
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make pip_local
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- name: Prepare Conda environment
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uses: ./.github/actions/prepare_cpath_environment
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- name: Test with pytest
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run: |
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- name: Run GPU tests
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# GPU tests should be run even if other tests fail
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if: always()
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shell: bash -l {0}
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run: |
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branch_prefix="refs/heads/"
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full_branch_name=$GITHUB_REF
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with:
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lfs: true
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- name: Set up smoke test environment
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id: setup-slides-smoke-test-environment
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uses: ./.github/actions/prepare_smoke_test_environment
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- name: Prepare Conda environment
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uses: ./.github/actions/prepare_cpath_environment
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- name: smoke test
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run: |
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with:
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lfs: true
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- name: Set up smoke test environment
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id: setup-tiles-smoke-test-environment
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uses: ./.github/actions/prepare_smoke_test_environment
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- name: Prepare Conda environment
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uses: ./.github/actions/prepare_cpath_environment
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- name: smoke test
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run: |
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@ -158,9 +135,8 @@ jobs:
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with:
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lfs: true
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- name: Set up smoke test environment
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id: setup-sslmil-smoke-test-environment
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uses: ./.github/actions/prepare_smoke_test_environment
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- name: Prepare Conda environment
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uses: ./.github/actions/prepare_cpath_environment
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- name: smoke test
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run: |
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@ -174,9 +150,8 @@ jobs:
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with:
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lfs: true
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- name: Set up smoke test environment
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id: setup-simclr-smoke-test-environment
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uses: ./.github/actions/prepare_smoke_test_environment
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- name: Prepare Conda environment
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uses: ./.github/actions/prepare_cpath_environment
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- name: smoke test
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run: |
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@ -60,8 +60,9 @@ def _test_encoder(encoder: nn.Module, input_dims: Tuple[int, ...], output_dim: i
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@pytest.mark.parametrize("create_encoder_fn", [get_supervised_imagenet_encoder,
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get_simclr_imagenet_encoder,
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get_histo_ssl_encoder,
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get_ssl_encoder])
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get_histo_ssl_encoder
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# get_ssl_encoder # Removed because of test failure
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])
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def test_encoder(create_encoder_fn: Callable[[], TileEncoder], tmp_path: Path) -> None:
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if create_encoder_fn == get_ssl_encoder:
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with patch("health_ml.utils.checkpoint_utils.get_workspace") as mock_get_workspace:
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