chaton
0435e23a64
deprecate enable_pl_optimizer as it is not restored properly ( #5244 )
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* update
* clean test
* still in progress
* udpdate test
* update
* update
* resolve flake
* add test for zero_grad
* update
* works without accumulated_grad
* update
* update
* resolve amp
* revert back to True
* update
* clean tests
* cleaned out
* typo
* update test
* git repare bug
* remove print
* udpate
* Fix formatting/optimizer imports
* Refactor the test for cleanliness
* Add vanilla model to the test, better var names
* Fixed var names, let's clean up these mock tests
* repare test
* update test
* resolve flake8
* add manual_optimization
* update tests
* resolve flake8
* add random accumulate_grad_batches
* improve test
* Update tests/trainer/optimization/test_parity_automatic_optimization.py
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Update tests/trainer/optimization/test_parity_automatic_optimization.py
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* update
* clean tests
* correct bug
* Apply suggestions from code review
* format
* adress comments
* update on comments
* wip
* typo
* depreceate enable_pl_optimizer
* resolve latest bugs
* update
* resolve merge
* add comment
* Update pytorch_lightning/core/lightning.py
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Update tests/deprecated_api/test_remove_1-3.py
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Update pytorch_lightning/trainer/connectors/optimizer_connector.py
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Update pytorch_lightning/trainer/trainer.py
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Update pytorch_lightning/trainer/trainer.py
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Update tests/trainer/optimization/test_parity_automatic_optimization.py
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* update on comments
* update restore
* add a property
* remove setstate as not needed anymore
* update test
* provide optimizer to on_before_zero_grad
* update on comments
* update on comments
* Update pytorch_lightning/trainer/trainer.py
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
* Update tests/trainer/optimization/test_parity_automatic_optimization.py
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
* Update tests/trainer/optimization/test_parity_automatic_optimization.py
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
* Update tests/trainer/optimization/test_parity_automatic_optimization.py
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
* mofidy import
* update changelog
* resolve flake8
* update
* update
* clean doc
Co-authored-by: SeanNaren <sean@grid.ai>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-62-109.ec2.internal>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
Co-authored-by: Sean Naren <sean.narenthiran@gmail.com>
(cherry picked from commit f2e99d617f
)
2021-01-26 14:29:46 +01:00
Jirka Borovec
b72ed71d4e
Refactor: clean trainer device & distrib setters ( #5297 )
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* naive replace
* simplify
* clean
* .
* fix
* .
* fix
* fix
2021-01-04 17:10:13 +00:00
chaton
c2e6e68c7e
optimizer clean up ( #4658 )
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* 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>
2020-12-01 00:09:46 +00:00
Jeff Yang
7d96fd1168
[tests/checkpointing] refactor with BoringModel ( #4661 )
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* [tests/checkpointing] refactor with BoringModel
* [tests/checkpointing] refactor with BoringModel
* [tests/checkpointing] refactor with BoringModel
* LessBoringModel -> LogInTwoMethods
* LessBoringModel -> LogInTwoMethods
* LessBoringModel -> TrainingStepCalled
Co-authored-by: chaton <thomas@grid.ai>
Co-authored-by: Ananya Harsh Jha <ananya@pytorchlightning.ai>
2020-11-24 01:23:12 +01:00
Sean Naren
98eb736496
Added getstate/setstate method for torch.save serialization ( #4127 )
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* Added getstate/setstate method for torch.save serialization, added additional Optional Typing to results object
* Added tests to ensure torch.save does not fail
* Added flags to ensure compatible ddp cpu environment
* Removed torch version check due to minimum already being 1.3, reduced epochs for speed
* Moved tests to separate file
* Update to accelerator, move to ddp_spawn to prevent hanging ddp
2020-10-13 16:47:23 -04:00