lightning/.github/workflows/ci_test-full.yml

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name: CI complete testing
# see: https://help.github.com/en/actions/reference/events-that-trigger-workflows
on: # Trigger the workflow on push or pull request, but only for the master branch
push:
branches: [master, "release/*"] # include release branches like release/1.0.x
pull_request:
branches: [master, "release/*"]
jobs:
pytest:
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
os: [ubuntu-18.04, windows-2019, macOS-10.15]
python-version: [3.6, 3.7, 3.8]
requires: ['minimal', 'latest']
exclude:
# # todo: segmentation fault for minimal and hanging for latest
- python-version: 3.8
os: ubuntu-18.04
# Timeout: https://stackoverflow.com/a/59076067/4521646
timeout-minutes: 35 # TODO: the macOS is taking too long, probably caching did not work...
steps:
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- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Update Pip
run: |
# todo: unfreeze PIP after resolving minimal dependencies
pip install --quiet "pip==20.1" --upgrade --user # needed for get pip cacher folder
# 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
brew install openmpi libuv # Horovod on macOS requires OpenMPI, Gloo not currently supported
- name: Setup Windows
if: runner.os == 'windows'
run: |
# remove Horovod from requirements
python -c "fname = 'requirements/extra.txt' ; lines = [line for line in open(fname).readlines() if not line.startswith('horovod')] ; open(fname, 'w').writelines(lines)"
New metric classes (#1326) (#1877) * New metric classes (#1326) * Create metrics package * Create metric.py * Create utils.py * Create __init__.py * add tests for metric utils * add docstrings for metrics utils * add function to recursively apply other function to collection * add tests for this function * update test * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * update metric name * remove example docs * fix tests * add metric tests * fix to tensor conversion * fix apply to collection * Update CHANGELOG.md * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * remove tests from init * add missing type annotations * rename utils to convertors * Create metrics.rst * Update index.rst * Update index.rst * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/utilities/test_apply_to_collection.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/utilities/test_apply_to_collection.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Apply suggestions from code review Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * add doctest example * rename file and fix imports * added parametrized test * replace lambda with inlined function * rename apply_to_collection to apply_func * Separated class description from init args * Apply suggestions from code review Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * adjust random values * suppress output when seeding * remove gpu from doctest * Add requested changes and add ellipsis for doctest * forgot to push these files... * add explicit check for dtype to convert to * fix ddp tests * remove explicit ddp destruction Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * move dtype device mixin to more general place * refactor to general device dtype mixin * add initial metric package description * change default to none for mac os * pep8 * fix import * Update index.rst * Update ci-testing.yml * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Update CHANGELOG.md * Update pytorch_lightning/metrics/converters.py * readme * Update metric.py * Update pytorch_lightning/metrics/converters.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Jirka <jirka@pytorchlightning.ai>
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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: Adjust minimal for Python 3.8 and MacOS
if: matrix.requires == 'minimal' && (runner.os == 'macOS' || matrix.python-version == 3.8)
New metric classes (#1326) (#1877) * New metric classes (#1326) * Create metrics package * Create metric.py * Create utils.py * Create __init__.py * add tests for metric utils * add docstrings for metrics utils * add function to recursively apply other function to collection * add tests for this function * update test * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * update metric name * remove example docs * fix tests * add metric tests * fix to tensor conversion * fix apply to collection * Update CHANGELOG.md * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * remove tests from init * add missing type annotations * rename utils to convertors * Create metrics.rst * Update index.rst * Update index.rst * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/utilities/test_apply_to_collection.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/utilities/test_apply_to_collection.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Apply suggestions from code review Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * add doctest example * rename file and fix imports * added parametrized test * replace lambda with inlined function * rename apply_to_collection to apply_func * Separated class description from init args * Apply suggestions from code review Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * adjust random values * suppress output when seeding * remove gpu from doctest * Add requested changes and add ellipsis for doctest * forgot to push these files... * add explicit check for dtype to convert to * fix ddp tests * remove explicit ddp destruction Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * move dtype device mixin to more general place * refactor to general device dtype mixin * add initial metric package description * change default to none for mac os * pep8 * fix import * Update index.rst * Update ci-testing.yml * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Update CHANGELOG.md * Update pytorch_lightning/metrics/converters.py * readme * Update metric.py * Update pytorch_lightning/metrics/converters.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Jirka <jirka@pytorchlightning.ai>
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run : |
python -c "fname = 'requirements.txt' ; req = open(fname).read().replace('torch>=1.3', 'torch>=1.4') ; open(fname, 'w').write(req)"
python -c "fname = 'requirements/examples.txt' ; req = open(fname).read().replace('torchvision>=0.4.1', 'torchvision>=0.5.0') ; open(fname, 'w').write(req)"
python -c "fname = 'requirements/extra.txt' ; req = open(fname).read().replace('torchtext>=0.3.1', 'torchtext>=0.5.0') ; open(fname, 'w').write(req)"
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- name: Set min. dependencies
if: matrix.requires == 'minimal'
run: |
python -c "fname = 'requirements.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/loggers.txt' ; req = open(fname).read().replace('>=', '==') ; open(fname, 'w').write(req)"
python -c "fname = 'requirements/test.txt' ; req = open(fname).read().replace('>=', '==') ; open(fname, 'w').write(req)"
python -c "fname = 'requirements/examples.txt' ; req = open(fname).read().replace('>=', '==') ; open(fname, 'w').write(req)"
# remove Fairscale from requirements
python -c "fname = 'requirements/extra.txt' ; lines = [line for line in open(fname).readlines() if 'fairscale' not in line] ; open(fname, 'w').writelines(lines)"
# 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
- name: Get pip cache dir
id: pip-cache
run: |
echo "::set-output name=dir::$(pip cache dir)"
- name: pip cache
uses: actions/cache@v2
with:
path: ${{ steps.pip-cache.outputs.dir }}
key: ${{ runner.os }}-pip-py${{ matrix.python-version }}-${{ matrix.requires }}-${{ hashFiles('requirements.txt') }}-${{ hashFiles('requirements/extra.txt') }}
restore-keys: |
${{ runner.os }}-pip-py${{ matrix.python-version }}-${{ matrix.requires }}-
- name: Install dependencies
env:
# MAKEFLAGS: "-j2"
HOROVOD_BUILD_ARCH_FLAGS: "-mfma"
HOROVOD_WITHOUT_MXNET: 1
HOROVOD_WITHOUT_TENSORFLOW: 1
run: |
# python -m pip install --upgrade --user pip
pip install --requirement requirements.txt --find-links https://download.pytorch.org/whl/cpu/torch_stable.html --quiet --upgrade
pip install --requirement ./requirements/devel.txt --find-links https://download.pytorch.org/whl/cpu/torch_stable.html --quiet --upgrade
python --version
pip --version
pip list
shell: bash
- name: Reinstall Horovod if necessary
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if: runner.os != 'windows'
env:
HOROVOD_BUILD_ARCH_FLAGS: "-mfma"
run: |
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HOROVOD_BUILT=$(python -c "import horovod.torch; horovod.torch.nccl_built(); print('SUCCESS')" || true)
if [[ $HOROVOD_BUILT != "SUCCESS" ]]; then
pip uninstall -y horovod
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echo $(grep "horovod" requirements/extra.txt) > requirements/horovod.txt
pip install --no-cache-dir -r requirements/horovod.txt
fi
horovodrun --check-build
shell: bash
- name: Cache datasets
uses: actions/cache@v2
with:
path: Datasets # This path is specific to Ubuntu
# Look to see if there is a cache hit for the corresponding requirements file
key: pl-dataset
- name: Tests
run: |
# NOTE: do not include coverage report here, see: https://github.com/nedbat/coveragepy/issues/1003
coverage run --source pytorch_lightning -m pytest pytorch_lightning tests pl_examples -v --durations=50 --junitxml=junit/test-results-${{ runner.os }}-${{ matrix.python-version }}-${{ matrix.requires }}.xml
- name: Upload pytest test results
uses: actions/upload-artifact@v2
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
if: failure()
- name: Statistics
if: success()
run: |
coverage report
coverage xml
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v1
if: always()
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# see: https://github.com/actions/toolkit/issues/399
continue-on-error: true
with:
token: ${{ secrets.CODECOV_TOKEN }}
file: coverage.xml
flags: cpu,pytest
name: CPU-coverage
fail_ci_if_error: false