Make metrics serializable #4630
Workflow file for this run
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| name: Run unit tests | |
| on: | |
| push: | |
| branches: | |
| - master | |
| - "*.*.*" | |
| paths: | |
| - "ignite/**" | |
| - "tests/ignite/**" | |
| - "tests/run_cpu_tests.sh" | |
| - "tests/run_code_style.sh" | |
| - "examples/**.py" | |
| - "requirements-dev.txt" | |
| - ".github/workflows/unit-tests.yml" | |
| pull_request: | |
| paths: | |
| - "ignite/**" | |
| - "tests/ignite/**" | |
| - "tests/run_cpu_tests.sh" | |
| - "tests/run_code_style.sh" | |
| - "examples/**.py" | |
| - "requirements-dev.txt" | |
| - ".github/workflows/unit-tests.yml" | |
| workflow_dispatch: | |
| concurrency: | |
| # <workflow_name>-<branch_name>-<true || commit_sha (if branch is protected)> | |
| group: unit-tests-${{ github.ref_name }}-${{ !(github.ref_protected) || github.sha }} | |
| cancel-in-progress: true | |
| jobs: | |
| cpu-tests: | |
| runs-on: ${{ matrix.os }} | |
| timeout-minutes: 45 | |
| defaults: | |
| run: | |
| shell: bash | |
| strategy: | |
| max-parallel: 10 | |
| fail-fast: false | |
| matrix: | |
| os: [ubuntu-latest] | |
| python-version: [3.8, 3.9, "3.10", "3.11"] | |
| pytorch-channel: [pytorch, pytorch-nightly] | |
| include: | |
| # includes a single build on windows | |
| - os: windows-latest | |
| pytorch-channel: pytorch | |
| python-version: 3.9 | |
| skip-distrib-tests: 1 | |
| # includes a single build on macosx | |
| - os: macos-latest | |
| pytorch-channel: pytorch | |
| python-version: 3.9 | |
| skip-distrib-tests: 1 | |
| steps: | |
| - uses: actions/checkout@v3 | |
| - uses: actions/setup-python@v4 | |
| with: | |
| python-version: ${{ matrix.python-version }} | |
| - name: Get year & week number | |
| id: get-date | |
| run: | | |
| echo "date=$(/bin/date "+%Y-%U")" >> $GITHUB_OUTPUT | |
| - name: Get pip cache dir | |
| id: pip-cache | |
| run: | | |
| pip install -U pip || python -m pip install -U pip | |
| echo "pip_cache=$(pip cache dir)" >> $GITHUB_OUTPUT | |
| - uses: actions/cache@v3 | |
| with: | |
| path: | | |
| ${{ steps.pip-cache.outputs.pip_cache }} | |
| key: ${{ steps.get-date.outputs.date }}-pytorch-${{ runner.os }}-${{ matrix.python-version }}-${{ matrix.pytorch-channel }}-${{ hashFiles('requirements-dev.txt') }} | |
| restore-keys: | | |
| ${{ steps.get-date.outputs.date }}-pytorch-${{ runner.os }}-${{ matrix.python-version }}-${{ matrix.pytorch-channel }}- | |
| - run: pip install pip wheel setuptools -Uqq | |
| - name: Install PyTorch | |
| if: ${{ matrix.pytorch-channel == 'pytorch' }} | |
| run: pip install torch torchvision -f https://download.pytorch.org/whl/cpu/torch_stable.html | |
| - name: Install PyTorch (nightly) | |
| if: ${{ matrix.pytorch-channel == 'pytorch-nightly' }} | |
| run: pip install torch torchvision -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html --pre | |
| - name: Install dependencies | |
| run: | | |
| pip install -r requirements-dev.txt | |
| python setup.py install | |
| - name: Check code formatting | |
| run: | | |
| bash ./tests/run_code_style.sh install | |
| bash ./tests/run_code_style.sh lint | |
| - name: Run Mypy | |
| # https://github.com/pytorch/ignite/pull/2780 | |
| # | |
| if: ${{ matrix.os == 'ubuntu-latest' && matrix.pytorch-channel == 'pytorch-nightly'}} | |
| run: | | |
| bash ./tests/run_code_style.sh mypy | |
| # Download MNIST: https://github.com/pytorch/ignite/issues/1737 | |
| # to "/tmp" for unit tests | |
| - name: Download MNIST | |
| uses: pytorch-ignite/download-mnist-github-action@master | |
| with: | |
| target_dir: /tmp | |
| # Copy MNIST to "." for the examples | |
| - name: Copy MNIST | |
| run: | | |
| cp -R /tmp/MNIST . | |
| - name: Run Tests | |
| run: | | |
| SKIP_DISTRIB_TESTS=${{ matrix.skip-distrib-tests }} bash tests/run_cpu_tests.sh | |
| - name: Upload coverage to Codecov | |
| uses: codecov/codecov-action@v3 | |
| with: | |
| file: ./coverage.xml | |
| flags: cpu | |
| fail_ci_if_error: false | |
| - name: Run MNIST Examples | |
| run: | | |
| # MNIST | |
| # 1) mnist.py | |
| python examples/mnist/mnist.py --epochs=1 | |
| - name: Run MNIST with loggers Examples | |
| if: ${{ matrix.os == 'ubuntu-latest' }} | |
| run: | | |
| # 2) mnist_with_visdom.py | |
| python -c "from visdom.server.build import download_scripts; download_scripts()" # download scripts : https://github.com/facebookresearch/visdom/blob/master/py/server.py#L929 | |
| python -m visdom.server & | |
| sleep 10 | |
| python examples/mnist/mnist_with_visdom.py --epochs=1 | |
| kill %1 | |
| # 3.1) mnist_with_tensorboard.py with tbX | |
| python examples/mnist/mnist_with_tensorboard.py --epochs=1 | |
| # 3.2) mnist_with_tensorboard.py with native torch tb | |
| pip uninstall -y tensorboardX | |
| python examples/mnist/mnist_with_tensorboard.py --epochs=1 | |
| - name: Run MNIST Example With Crash | |
| if: ${{ matrix.os == 'ubuntu-latest' }} | |
| continue-on-error: true | |
| run: | | |
| # 4) mnist_save_resume_engine.py | |
| python examples/mnist/mnist_save_resume_engine.py --epochs=2 --crash_iteration 1100 | |
| - name: Resume MNIST from previous crash | |
| if: ${{ matrix.os == 'ubuntu-latest' }} | |
| run: | | |
| python examples/mnist/mnist_save_resume_engine.py --epochs=2 --resume_from=/tmp/mnist_save_resume/checkpoint_1.pt | |
| - name: Run GAN example | |
| if: ${{ matrix.os == 'ubuntu-latest' }} | |
| run: | | |
| # DCGAN | |
| python examples/gan/dcgan.py --dataset fake --dataroot /tmp/fakedata --output-dir /tmp/outputs-dcgan --batch-size 2 --epochs 2 --workers 0 | |
| - name: Run RL Examples | |
| if: ${{ matrix.os == 'ubuntu-latest' }} | |
| run: | | |
| # RL | |
| # 1) Actor-Critic | |
| python examples/reinforcement_learning/actor_critic.py --max-episodes=2 | |
| # 2) Reinforce | |
| python examples/reinforcement_learning/reinforce.py --max-episodes=2 | |
| - name: Run Neural Style Example | |
| if: ${{ matrix.os == 'ubuntu-latest' }} | |
| run: | | |
| #fast-neural-style | |
| #train | |
| mkdir -p ~/.cache/torch/checkpoints/ && wget "https://download.pytorch.org/models/vgg16-397923af.pth" -O ~/.cache/torch/checkpoints/vgg16-397923af.pth | |
| python examples/fast_neural_style/neural_style.py train --epochs 1 --cuda 0 --dataset test --dataroot . --image_size 32 --style_image examples/fast_neural_style/images/style_images/mosaic.jpg --style_size 32 | |
| - name: Run SR Example | |
| if: ${{ matrix.os == 'ubuntu-latest' }} | |
| run: | | |
| # Super-Resolution | |
| python examples/super_resolution/main.py --upscale_factor 3 --crop_size 180 --batch_size 4 --test_batch_size 100 --n_epochs 1 --lr 0.001 --threads 2 --debug |