* fix result for dp
* fix result for dp
* fix result for dp
* fix result for dp
* fix result for dp
* fix result for dp
* fix result for dp
* fix result for dp
* fix result for dp
* fix result for dp
* fix result for dp
* fix result for dp
* added warning when changing monitor and using results obj
* add ddp script variations
* add ddp test
* rename
* shell
* test
* test
* try call
* try without subprocess
* test
* display the error
* list all variations
* try string
* try copy env
* debug
* pythonpath
* path
* update test
* change
* simple ddp test
* replace
* remove random port
* random port
* str
* clean up
* check run spawn
* clean up
* docs
* docs
* update test
* docs
* changelog
* changelog
* Override the default gather method to support scalars
* add computing average of a list
* bug: change if to elif
* add some tests
* change style
* change documentation
* use apply_to_collection in DP gather
* use apply_to_collection in DP gather
* fix warning msg
* override gather method in DP
* add tests for python scalars
* add python scalars to docstring
* Update message
* override gather method in DP
* formatting
* chlog
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai>
* export model to onnx
* prepare data before exporting
* support for dataloaders and tensors
* added tests
* use example_input_array
add to changelog
* updated docstring
* added onnx inference tests
* temp commit
* removed schema valid test
* add onnxruntime to environment.yml
* moved onnxruntime to environment.yml pip
* add example in doc
* add lines between code block
* added PR to changelog
* is file check
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* remove *
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* infer example outputs
* added doctest for onnx
* fix windows tests
* moved eval within condition block
* self.forward to self
* added docs
* fixed docs error
* added to toctree
* Update CHANGELOG.md
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* pt 1.6
* don't use the new zipfile serialization for now
* quick flake8 fixes
* remove unnecessary f
* coalesce strings
* remove comma
* remove extra commas
* Apply suggestions from code review
Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com>
* set _use_new_zipfile_serialization to False only for pytorch 1.6.0
* remove unnecessary comments
* flake8 fixes
* use pkg_resources instead of packaging
* readme
* format
* version
* chlog
Co-authored-by: Peter Yu <peter@asapp.com>
Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com>
* 🎨 warn instead of error out on loaders
* 🐛 test misconfiguration should still fail
* 🚧 .
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
Co-authored-by: William Falcon <waf2107@columbia.edu>
* r
* r
* r
* patched optimizer closure with sr
* patched optimizer closure with sr
* patched optimizer closure with sr
* added train step structured result
* added train step structured result
* added train step structured result
* added train step structured result
* added train step structured result
* added train step structured result
* added train step structured result
* added train step structured result
* added train step structured result
* added train step structured result
* added train step structured result
* added train step structured result
* added train step structured result
* added train step structured result
* added train step structured result
* added train step structured result
* added train step structured result
* added train step structured result
* added train step structured result
* added train step structured result
* added autoreduce for train step
* added auto reduce on train
* added auto reduce on train
* added auto reduce on train
* added auto reduce on train
* added auto reduce on train
* added auto reduce on train
* added hooks
* added hooks
* added hooks
* added hooks
* added hooks
* finished tests for structured results on train epoch
* finished tests for structured results on train epoch
* finished tests for structured results on train epoch
* finished tests for structured results on train epoch
* finished tests for structured results on train epoch
* finished tests for structured results on train epoch
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* finished tests for structured results on train epoch
* finished tests for structured results on train epoch
* cache
* finished tests for structured results on train epoch
* finished tests for structured results on train epoch
* finished tests for structured results on train epoch
* finished tests for structured results on train epoch
* finished tests for structured results on train epoch
* Update pytorch_lightning/callbacks/early_stopping.py
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Update pytorch_lightning/callbacks/early_stopping.py
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Update pytorch_lightning/callbacks/early_stopping.py
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Update pytorch_lightning/callbacks/model_checkpoint.py
* Update pytorch_lightning/core/step_result.py
* finished tests for structured results on train epoch
* finished tests for structured results on train epoch
* Apply suggestions from code review
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com>
* Apply suggestions from code review
Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com>
* Apply suggestions from code review
Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com>
* simple
* finished tests for structured results on train epoch
* simple
* simple
* revert
* finished tests for structured results on train epoch
* finished tests for structured results on train epoch
* Update tests/base/deterministic_model.py
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* finished tests for structured results on train epoch
* docstring typos
* finished tests for structured results on train epoch
* finished tests for structured results on train epoch
* finished tests for structured results on train epoch
* finished tests for structured results on train epoch
* finished tests for structured results on train epoch
* finished tests for structured results on train epoch
* finished tests for structured results on train epoch
* finished tests for structured results on train epoch
* finished tests for structured results on train epoch
* finished tests for structured results on train epoch
* finished tests for structured results on train epoch
* finished tests for structured results on train epoch
* finished tests for structured results on train epoch
* finished tests for structured results on train epoch
* finished tests for structured results on train epoch
* finished tests for structured results on train epoch
* finished tests for structured results on train epoch
* Update pytorch_lightning/core/step_result.py
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
* Update pytorch_lightning/overrides/data_parallel.py
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
Co-authored-by: Jirka <jirka@pytorchlightning.ai>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com>
* add tests for single scalar return from training
* add tests for single scalar return from training
* add tests for single scalar return from training
* fixing val step only
* fixing val step only
* fixing val step only
* fixing val step only
* fixing val step only
* fixing val step only
* fixing val step only
* fixing val step only
* fixing val step only
* fixing val step only
* fixing val step only
* fixing val step only
* fixing val step only
* fixing val step only
* fixing val step only
* fixing val step only
* fixing val step only
* fixing val step only
* fixing val step only
* fixing val step only
* fixing val step only
* fixing val step only
* add tests for single scalar return from training
* add tests for single scalar return from training
* add tests for single scalar return from training
* add tests for single scalar return from training
* add tests for single scalar return from training
* skip ckpt test on rank > 0
* fx test
* add extra assert
* code factor
* add back removed
* add old loading code
* add back old
* unused import
* add same skip to run_model_without_loggers
* test if horovod now works with python 3.8
* test remove all 3.8 skips
* remove spawn
* fix
* fix test
* move load check up
* fix test multigpu
* rename
* fix gpu mode
* on gpu fix when on cpu
* move
* added base tests for tpu
* added base tests for tpu
* added base tests for tpu
* added base tests for tpu
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* added base tests for tpu
* added base tests for tpu
* fix deprecation warnings
* added base tests for tpu
* added base tests for tpu
* Update pytorch_lightning/trainer/trainer.py
Co-authored-by: Jeremy Jordan <13970565+jeremyjordan@users.noreply.github.com>
* added base tests for tpu
* added base tests for tpu
* added base tests for tpu
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* added base tests for tpu
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* added base tests for tpu
* added base tests for tpu
* added base tests for tpu
* added base tests for tpu
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* added base tests for tpu
* added base tests for tpu
* added base tests for tpu
* added base tests for tpu
* added base tests for tpu
* added base tests for tpu
Co-authored-by: Jirka <jirka@pytorchlightning.ai>
Co-authored-by: Jeremy Jordan <13970565+jeremyjordan@users.noreply.github.com>
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* fix tpu hang
* no cov
* no cov
* ReduceOp
* group
* reduce_op.sum
* Update sklearns.py
* formatting
* horovod
* Apply suggestions from code review
* horovod
* horovod
* horovod
* horovod
* ci
* print
* ci
* timeout
* timeout
* time
* fix
* distributed cpu
* pipes
* time
* cpu
* spawn
* spawn
* spawn
* tp
* separate
* os
* os
* npm
* Fix load_from_checkpoint() not working with URL on Windows
* Update CHANGELOG
* Update CHANGELOG.md
Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com>
* Apply suggestions from code review
* fix
* fix meta tags creating empty lines
* pyright
* node
* fix httpserver address
* drop tutils.default_trainer_options
* imports
* Better fix for load_from_checkpoint() not working with absolute path on Windows (#2294)
* Fix load_from_checkpoint() not working with URL on Windows
* Update CHANGELOG
* Update CHANGELOG.md
Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com>
* Apply suggestions from code review
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com>
* drop duplicate
Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com>
Co-authored-by: airium <airium@outlook.com>
Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com>
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
Co-authored-by: AIRIUM <38249940+airium@users.noreply.github.com>
* deal with NotImplementedError raised by torchtext
* deal with NotImplementedError raised by torchtext
* Added tests for dataloader which raise NotImplementedError in __len__()
* Fixed some typos
* enabled tests for dataloader raising NotImplementedError in __len__ and corrected match string for raised exception
* deleted empty line for style compliance
* refactored CustomNotImplementedErrorDataloader to derive from CustomInfDataloader
* enabled reduced number of not_implemented_error dataloader test to reduce runtime for continuous integration
* reduced test number of not_implemented_error dataloader test further to reduce test time
* reduced test number of not_implemented_error dataloader test to one to reduce test time
* disabled all not_implemented_error dataloader test to see if test pass in time
* added __next__ with a reduced number (5) of elements after which CustomNotImplementedErrorDataloader stops to speedup test.
* enabling all not_implemented_error dataloader test
* added brief description of change and relation of torchtext
* CustomNotImplementedErrorDataloader reduced number of batches served to 2.
* Update CHANGELOG.md
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
* Apply suggestions from code review
* Update CHANGELOG.md
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Disable parallelism in dataloader
Suspect that it might cause pytest to hang more frequent
* added max_steps=None to Trainer in not_implemented_error dataloader tests
* rearranged not_implemented_error test in file to group them together
* disabled parallel data loading
Reason: testing if that stops the test framework from hanging.
* Apply suggestions from code review
* Apply suggestions from code review
Co-authored-by: Thomas Schaaf <tschaaf@cs.cmu.edu>
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Init fix num_batches
* Fix num_batches in case of multiple dataloaders
* Apply suggestions from code review
* Changes based on suggestions
* Flake8
* Add test to check num_batches
* generalize dataloader percent check test
* fix formatting
* remove hparams
* tests
* CHANGELOG
* Update CHANGELOG.md
* max_batches can be int
* conflict and rebase
* add back the test
fix
fix message
0.0 works
Revert "fix message"
This reverts commit 839cacf8b8610f4e697e654ef6f3d2501bf23984.
* update changelog
* Update CHANGELOG.md
* Fix num batches in case of multiple dataloaders and percent_check (#1920)
* git conflict
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
* missing union
* doc update suggestion by @rohitgr7
* extend test
* changelog
* docs add note about multiple loaders
* update changelog
* remove unused variable
Co-authored-by: rohitgr7 <rohitgr1998@gmail.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* deal with NotImplementedError raised by torchtext
* deal with NotImplementedError raised by torchtext
* Added tests for dataloader which raise NotImplementedError in __len__()
* Fixed some typos
Co-authored-by: Thomas Schaaf <tschaaf@cs.cmu.edu>
* Add ckpt_path option to LightningModule.test()
If ckpt_path is "best" (default), it loads the best weights saved by ModelCheckpoint for the test loop.
If ckpt_path is a path to a checkpoint file, it loads the weights from the file for the test loop.
If ckpt_path is None, it uses the weights from the end of training for the test loop.
If model parameter is set, ckpt_path is ignored.
* Update test_set.rst
Co-authored-by: William Falcon <waf2107@columbia.edu>
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* Option to provide seed to random generators to ensure reproducibility
I added small function in utilities which imports torch, numpy, python
random and sets seed for all of the libraries to ensure reproducibility
of results.
* Apply recommendations from core contributors on seeding
1. Moved the seeding code to another file
2. Make deterministic as a parameter for trainer class
3. Add assertions for seeding numpy
4. Added warnings
5. torch.manual_seed should be enough for seeding torch
* Revert "Apply recommendations from core contributors on seeding"
This reverts commit a213c8e6882eec8a9e7408b9418926d2db7c5461.
* Revert "Revert "Apply recommendations from core contributors on seeding""
This reverts commit 59b2da53c62878de7aab0aa3feb3115e105eea06.
* Change in test, for correct seeding
* Allow seed equal to 0
* Allow seed to be uint32.max
* Added deterministic to benchmarks
* Cuda manual seed as in benchmark seeding
* Seeding should be done before model initialization
* cuda manual_seed is not necessary
* Fixing seed test_cpu_lbfgs
On some seeds seems like lbfgs doesn't converge.
So I fixed the seed during testing.
* rebasing issue with old reproducibility.py
* Improved documentation and ability to seed before initializing Train
class
* Change in docs
* Removed seed from trainer, update for documentation
* Typo in the docs
* Added seed_everything to _all_
* Fixing old changes
* Model initialization should be earlier then Trainer
* Update pytorch_lightning/trainer/__init__.py
From Example to testcode
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Fixing according to the contributors suggestions
* Moving horovod deterministic to Trainer class
* deterministic flag affects horovod docs update
* Improved static typing
* Added deterministic to test runners of horovod
It is failing on some versions, not very predictable
* static seeds for horovod tests
* Change for reset_seed function in tests
* Seeding horovod using reset_seed from tutils
* Update pytorch_lightning/trainer/__init__.py
* chlog
* Update trainer.py
* change "testcode" to "Example" in trainer init documentation
* Update pytorch_lightning/trainer/seed.py, first line in comment
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Jirka <jirka.borovec@seznam.cz>
Co-authored-by: William Falcon <waf2107@columbia.edu>
William Falcon