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.lightning/workflows/pytorch.yml

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@@ -64,7 +64,7 @@ run: |
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--source_import="lightning.fabric,lightning.pytorch" \
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--target_import="lightning_fabric,pytorch_lightning"
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fi
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extra=$(python -c "print({'lightning': 'pytorch-'}.get('$(PACKAGE_NAME)', ''))")
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pip install -e ".[${extra}dev]" -U --upgrade-strategy=eager --extra-index-url="${TORCH_URL}"
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@@ -75,39 +75,39 @@ run: |
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# Drop PL for LAI
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pip uninstall -y pytorch-lightning
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fi
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python requirements/collect_env_details.py
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python -c "import torch ; mgpu = torch.cuda.device_count() ; assert mgpu >= 2, f'GPU: {mgpu}'"
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python requirements/pytorch/check-avail-extras.py
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python -c "import bitsandbytes"
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# Testing: Fabric doctests
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if [ "${PACKAGE_NAME}" == "pytorch" ]; then
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cd src/
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python -m pytest pytorch_lightning
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cd ..
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fi
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# Get legacy checkpoints
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bash .actions/pull_legacy_checkpoints.sh
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cd tests/legacy
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bash generate_checkpoints.sh
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ls -l checkpoints/
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cd tests/
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# Testing: fabric standard
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python -m coverage run --source ${COVERAGE_SOURCE} -m pytest tests_pytorch/ -v --durations=50
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# Testing: fabric standalone
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export PL_USE_MOCKED_MNIST=1
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export PL_RUN_STANDALONE_TESTS=1
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wget https://raw.githubusercontent.com/Lightning-AI/utilities/main/scripts/run_standalone_tests.sh
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bash ./run_standalone_tests.sh "tests_pytorch"
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# Testing: PyTorch standalone tasks
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cd tests_pytorch/
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bash run_standalone_tasks.sh
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python -m coverage report
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python -m coverage xml
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python -m coverage html
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# --flags=gpu,pytest,${COVERAGE_SOURCE} --name="GPU-coverage" --env=linux,azure
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# ls -l
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cd ../..
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# Testing: PyTorch examples
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cd examples/
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bash run_pl_examples.sh --trainer.accelerator=gpu --trainer.devices=1

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