lightning/setup.cfg

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# Copyright The PyTorch Lightning team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
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[tool:pytest]
norecursedirs =
.git
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.github
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dist
build
docs
addopts =
--strict-markers
--doctest-modules
--color=yes
--disable-pytest-warnings
--ignore=legacy/checkpoints
filterwarnings =
# error out on our deprecation warnings - ensures the code and tests are kept up-to-date
error::pytorch_lightning.utilities.rank_zero.LightningDeprecationWarning
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error::FutureWarning
# warnings from deprecated modules on import
# TODO: remove in 1.7
ignore::pytorch_lightning.utilities.rank_zero.LightningDeprecationWarning:pytorch_lightning.core.decorators
ignore::pytorch_lightning.utilities.rank_zero.LightningDeprecationWarning:pytorch_lightning.core.memory
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xfail_strict = true
junit_duration_report = call
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[coverage:report]
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exclude_lines =
pragma: no-cover
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warnings
pass
rank_zero_warn
optimizer clean up (#4658) * add LightningOptimizer * typo * add mock closure * typo * remove logic in optimizer_step * update * update * update * desactivate LightningOptimizer for hovorod * resolve flake * typo * check optimizer name * change name * added backward to LightningOptimizer * remove use_lightning_optimizer * move update * simplify init * resolve comments * resolve bug * update * update * resolve bugs * resolve flake8 * set state * work manual_optimizer_step * add doc * add enable_pl_optimizer * make optimizer_step * add make_optimizer_step * add examples * resolve test * add test_optimizer_return_options_enable_pl_optimizer * add enable_pl_optimizer=True * update * update tests * resolve bugs * update * set Trainer to False * update * resolve bugs * update * remove from doc * resolve bug * typo * update * set to True * simplification * typo * resolve horovod * unwrap horovod * remove Optimizer * resolve horovod * move logic to amp_backend * doesn't seem to be pickable * update * add again * resolve some bugs * cleanup * resolve bug with AMP * change __repr__ * round at -12 * udpate * update * update * remove from horovod * typo * add convert_to_lightning_optimizers in each accelerators * typo * forgot * forgot a convert_to_lightning_optimizers * update * update * update * increase coverage * update * resolve flake8 * update * remove useless code * resolve comments + add support for LightningOptimizer base class * resolve flake * check optimizer get wrapped back * resolve DDPSharded * reduce code * lightningoptimizer * Update pytorch_lightning/core/optimizer.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * Update pytorch_lightning/core/lightning.py * remove reference to step function * Apply suggestions from code review * update on comments * resolve * Update CHANGELOG.md * add back training_step in apex and native_amp * rename optimizer_step Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Sean Naren <sean.narenthiran@gmail.com>
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raise NotImplementedError
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# TODO: figure out how to get codecov to pick up the test results on these backends
# The actual coverage for each is 90%+
# *metrics (94%+) are temporarily removed from testing while tests speed up
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omit =
pytorch_lightning/cluster_environments/*.py
pytorch_lightning/utilities/distributed.py
pytorch_lightning/tuner/auto_gpu_select.py
pytorch_lightning/distributed/dist.py
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[flake8]
max-line-length = 120
Base classes for accelerator refactoring (#5715) * add basic accelerator class. Co-Authored with @awaelchi * Add base plugin class. Co-authored with @awaelchi * add basic trainign type plugin. Co-Authored with @awaelchi * add basic precision plugin. Co-Authored with @awaelchi * Add missing inits. Co-authored with @awaelchi * pep8 Co-authored-by: @awaelchi * ignore flake8 * coverage omit * imports in init * lost * imports * flake8 * . * . * chlog * Update pytorch_lightning/plugins/training_type/training_type_plugin.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/plugins/training_type/training_type_plugin.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/plugins/training_type/training_type_plugin.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/plugins/training_type/training_type_plugin.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/plugins/training_type/training_type_plugin.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/plugins/training_type/training_type_plugin.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/plugins/training_type/training_type_plugin.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
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exclude =
.tox,
*.egg
build
temp
select = E,W,F
doctests = True
verbose = 2
# https://pep8.readthedocs.io/en/latest/intro.html#error-codes
format = pylint
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ignore =
E731 # Ignore "Do not assign a lambda expression, use a def"
W503 # Ignore "Line break occurred before a binary operator"
E203 # Ignore "whitespace before ':'"