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hotfix for PT1.6 and torchtext (#6323)
* ci: azure reinstall torchtext * move * todos * 0.6.0 * skip examples * formatter * skip * todo * Apply suggestions from code review (cherry picked from commit e038e74)
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.github/workflows/ci_test-conda.yml

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@@ -30,13 +30,6 @@ jobs:
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pip install --requirement requirements/devel.txt --upgrade-strategy only-if-needed
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pip list
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- name: Cache datasets
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# todo this probably does not work with docker images, rather cache dockers
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uses: actions/cache@v2
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with:
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path: Datasets
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key: pl-dataset
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- name: Pull checkpoints from S3
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# todo: consider adding coma caching, but ATM all models have less then 100KB
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run: |
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unzip -o checkpoints.zip
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ls -l checkpoints/
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# todo: require proper fix in docker image
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- name: Hotfix dependency
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run: |
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pip install torchtext==0.6.0 -U
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shell: bash
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- name: Tests
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run: |
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# NOTE: run coverage on tests does not propagare faler status for Win, https://github.com/nedbat/coveragepy/issues/1003

.github/workflows/ci_test-full.yml

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@@ -112,6 +112,12 @@ jobs:
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pip list
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shell: bash
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# todo: require proper fix in docker image
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- name: Hotfix dependency
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run: |
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pip install torchtext==0.6.0 -U
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shell: bash
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- name: Reinstall Horovod if necessary
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if: runner.os != 'windows'
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env:
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- name: Tests
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run: |
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# NOTE: do not include coverage report here, see: https://github.com/nedbat/coveragepy/issues/1003
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coverage run --source pytorch_lightning -m pytest pytorch_lightning tests pl_examples -v --durations=50 --junitxml=junit/test-results-${{ runner.os }}-${{ matrix.python-version }}-${{ matrix.requires }}.xml
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coverage run --source pytorch_lightning -m pytest pytorch_lightning tests -v --durations=50 --junitxml=junit/test-results-${{ runner.os }}-${{ matrix.python-version }}-${{ matrix.requires }}.xml
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# todo: put this back just when TorchVision can download datasets
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#- name: Examples
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# run: |
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# python -m pytest pl_examples -v --durations=10
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- name: Upload pytest test results
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uses: actions/upload-artifact@v2

azure-pipelines.yml

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# how much time to give 'run always even if cancelled tasks' before stopping them
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cancelTimeoutInMinutes: 2
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pool: dsvm-spot-pool
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pool: gridai-spot-pool
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#strategy:
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# matrix:
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export GIT_TERMINAL_PROMPT=1
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#sudo apt-get install -y cmake
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# python -m pip install "pip==20.1"
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pip install --requirement requirements.txt --find-links https://download.pytorch.org/whl/cpu/torch_stable.html
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pip install --requirement requirements.txt
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python -c "fname = 'requirements/extra.txt' ; lines = [line for line in open(fname).readlines() if 'fairscale' not in line] ; open(fname, 'w').writelines(lines)"
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python -c "fname = 'requirements/extra.txt' ; lines = [line for line in open(fname).readlines() if 'horovod' not in line] ; open(fname, 'w').writelines(lines)"
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pip install --requirement ./requirements/devel.txt --upgrade-strategy only-if-needed
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pip install git+https://$(AUTH_TOKEN)@github.com/PyTorchLightning/[email protected] --no-cache-dir
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pip list
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displayName: 'Install dependencies'
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- script: |
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- bash: |
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python tests/collect_env_details.py
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python -c "import torch ; mgpu = torch.cuda.device_count() ; assert mgpu >= 2, f'GPU: {mgpu}'"
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displayName: 'Env details'
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# todo: require proper fix in docker image
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- bash: |
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pip install torchtext==0.7 -U
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displayName: 'HotFix'
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- bash: |
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wget https://pl-public-data.s3.amazonaws.com/legacy/checkpoints.zip -P legacy/
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unzip -o legacy/checkpoints.zip -d legacy/
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ls -l legacy/checkpoints/
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displayName: 'Get legacy checkpoints'
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- script: |
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- bash: |
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python -m coverage run --source pytorch_lightning -m pytest pytorch_lightning tests -v --durations=50
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displayName: 'Testing: standard'
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codecov --token=$(CODECOV_TOKEN) --flags=gpu,pytest --name="GPU-coverage" --env=linux,azure
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displayName: 'Statistics'
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- script: |
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python -m pytest benchmarks pl_examples -v --maxfail=2 --durations=0
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displayName: 'Testing: extended'
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- script: |
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python setup.py install --user --quiet
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bash pl_examples/run_ddp-example.sh
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pip uninstall -y pytorch-lightning
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displayName: 'Examples'
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- bash: |
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python -m pytest benchmarks -v --maxfail=2 --durations=0
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displayName: 'Testing: benchmarks'
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# todo: put this back just when TorchVision can download datasets
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#- bash: |
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# python -m pytest pl_examples -v --maxfail=2 --durations=0
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# python setup.py install --user --quiet
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# bash pl_examples/run_ddp-example.sh
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# pip uninstall -y pytorch-lightning
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# displayName: 'Examples'

setup.cfg

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*.egg
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build
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temp
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# todo: some strange failure
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./tests/callbacks/test_pruning.py
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select = E,W,F
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doctests = True
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warn_unused_configs = True
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warn_unused_ignores = True
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# todo: this is magically failing, need to be revisited
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[mypy-pytorch_lightning.accelerators.tpu.*]
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ignore_errors = True
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# todo: add proper typing to this module...
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[mypy-pytorch_lightning.accelerators.*]
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ignore_errors = True

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