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name : CI complete testing
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# see: https://help.github.com/en/actions/reference/events-that-trigger-workflows
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on :
# Trigger the workflow on push or pull request,
# but only for the master branch
push :
branches :
- master
pull_request :
branches :
- master
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# Trigger the workflow on push or pull request
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# on: [push, pull_request]
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jobs :
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pytest :
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runs-on : ${{ matrix.os }}
strategy :
fail-fast : false
matrix :
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os : [ ubuntu-18.04, windows-2019, macOS-10.15]
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python-version : [ 3.6 , 3.7 , 3.8 ]
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requires : [ 'minimal' , 'latest' ]
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exclude :
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# excludes PT 1.3 as it is missing on pypi
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- python-version : 3.8
requires : 'minimal'
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# TODO: temporary fix till hanging jobs on macOS for py38 is resolved
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- python-version : 3.8
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os : macOS-10.15
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# Timeout: https://stackoverflow.com/a/59076067/4521646
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timeout-minutes : 25
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steps :
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- uses : actions/checkout@v2
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- name : Set up Python ${{ matrix.python-version }}
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uses : actions/setup-python@v2
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with :
python-version : ${{ matrix.python-version }}
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- name : Update Pip
run : |
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pip install --quiet "pip>=20.1" --upgrade --user # needed for get pip cacher folder
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# Github Actions: Run step on specific OS: https://stackoverflow.com/a/57948488/4521646
- name : Setup macOS
if : runner.os == 'macOS'
run : |
brew install libomp # https://github.com/pytorch/pytorch/issues/20030
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brew install openmpi # Horovod on macOS requires OpenMPI, Gloo not currently supported
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- name : Setup Windows
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if : runner.os == 'windows'
run : |
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# remove Horovod from requirements
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python -c "fname = 'requirements/extra.txt' ; lines = [line for line in open(fname).readlines() if not line.startswith('horovod')] ; open(fname, 'w').writelines(lines)"
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# versions <= 1.3 may have issues on mac with some BLAS ops due to missing mkl (https://github.com/pytorch/pytorch/issues/18996)
- name : Setup MacOS Minimal
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if : runner.os == 'macOS' && matrix.requires == 'minimal'
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run : |
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python -c "fname = 'requirements/base.txt' ; req = open(fname).read().replace('torch>=1.3', 'torch>=1.4') ; open(fname, 'w').write(req)"
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- name : Set min. dependencies
if : matrix.requires == 'minimal'
run : |
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python -c "fname = 'requirements/base.txt' ; req = open(fname).read().replace('>=', '==') ; open(fname, 'w').write(req)"
python -c "fname = 'requirements/extra.txt' ; req = open(fname).read().replace('>=', '==') ; open(fname, 'w').write(req)"
python -c "fname = 'requirements/devel.txt' ; req = open(fname).read().replace('>=', '==') ; open(fname, 'w').write(req)"
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# Note: This uses an internal pip API and may not always work
# https://github.com/actions/cache/blob/master/examples.md#multiple-oss-in-a-workflow
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- name : Get pip cache dir
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id : pip-cache
run : |
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echo "::set-output name=dir::$(pip cache dir)"
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- name : pip cache
uses : actions/cache@v2
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with :
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path : ${{ steps.pip-cache.outputs.dir }}
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key : ${{ runner.os }}-pip-py${{ matrix.python-version }}-${{ matrix.requires }}-pip-${{ hashFiles('requirements/base.txt') }}-${{ hashFiles('requirements/extra.txt') }}
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restore-keys : |
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${{ runner.os }}-pip-py${{ matrix.python-version }}-${{ matrix.requires }}-pip-
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- name : Install dependencies
run : |
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# python -m pip install --upgrade --user pip
pip install --requirement requirements/base.txt --find-links https://download.pytorch.org/whl/cpu/torch_stable.html --quiet --upgrade
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HOROVOD_BUILD_ARCH_FLAGS="-mfma" pip install --requirement ./requirements/devel.txt --quiet --upgrade-strategy "only-if-needed"
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python --version
pip --version
pip list
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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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run : |
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HOROVOD_BUILT=$(python -c "import horovod.torch; horovod.torch.nccl_built(); print('SUCCESS')" || true)
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if [[ $HOROVOD_BUILT != "SUCCESS" ]]; then
pip uninstall -y horovod
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HOROVOD_BUILD_ARCH_FLAGS="-mfma" pip install --no-cache-dir $(grep "horovod" requirements/extra.txt)
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fi
horovodrun --check-build
shell : bash
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- name : Cache datasets
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uses : actions/cache@v2
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with :
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path : Datasets # This path is specific to Ubuntu
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# Look to see if there is a cache hit for the corresponding requirements file
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key : pl-dataset
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- name : Tests
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run : |
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# NOTE: do not include coverage report here, see: https://github.com/nedbat/coveragepy/issues/1003
coverage run --source pytorch_lightning -m pytest pytorch_lightning tests -v --junitxml=junit/test-results-${{ runner.os }}-${{ matrix.python-version }}-${{ matrix.requires }}.xml
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- name : Upload pytest test results
uses : actions/upload-artifact@master
with :
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name : pytest-results-${{ runner.os }}-${{ matrix.python-version }}-${{ matrix.requires }}
path : junit/test-results-${{ runner.os }}-${{ matrix.python-version }}-${{ matrix.requires }}.xml
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# Use always() to always run this step to publish test results when there are test failures
if : always()
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- name : Statistics
if : success()
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run : |
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coverage report
coverage xml
- name : Upload coverage to Codecov
uses : codecov/codecov-action@v1
if : always()
with :
token : ${{ secrets.CODECOV_TOKEN }}
file : coverage.xml
flags : cpu,pytest
name : CPU-coverage
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fail_ci_if_error : false