* refactor and added hook
variant a
variant b
add test
revert rename
add changelog
docs
* resolve merge duplication
* overridden typo
* fix test
* tpu id
* raise if TPU not available
* re-use apply_to_collection function for parsing collections
* comment
* make utility function available to user
* documentation
* move changelog entry to top
* fix tpu transfer call
* fix call
* remove hardcoded string
* improve test
* call model hook by default
* Apply suggestions from code review
* rename utility function
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* fix grad norm formula
* grad-norm tracker test
* fixed seed and explicit rtol in grad norm tracking test
* a docstring for grad-norms and forced cast to float of norm_type
* support for inf-norm
* renamed the grad norm test
* docs
* fixed language in docstring
* Apply suggestions from code review
Co-authored-by: Jirka <jirka@pytorchlightning.ai>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* replace ddp spawn with subprocess
* replace ddp spawn with subprocess
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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>
* update prog. bar metrics on train epoch end
* changelog
* wip test
* more thorough testing
* comments
* update docs
* move test
Co-authored-by: Jirka <jirka.borovec@seznam.cz>
* params
* drop acc
* Fix Horovod distributed backend to set the root_gpu
* Fixed test
* Fixed tests
* Fixed lint
* Set root_gpu during initialization
* chlog
Co-authored-by: Jirka <jirka.borovec@seznam.cz>
* Add tests for distributed backend config
* Refactor set_distributed_mode
* Use gloo backend on cpu
* Use 127.0.0.1 instead of 127.0.0.2
Not totally clear on why this is necessary, but it seemt to work
* Update LightningDDP so that it works with CPU
* Add ddp_cpu backend and num_processes Trainer arg
* PEP8
* Fix test skipping. Inequalities are hard :/
* Skip ddp_cpu test on Windows
* Make a few more cases fall back to ddp_cpu
* New function name
* Flake8
* Don't test distributed on MacOS with torch < 1.3
Support for distributed in MacOS was added in Torch 1.3.0
* Add ddp_cpu and num_processes to docs
* Parametrize trainer config tests
* Tweak warning
Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>
* Remove redundant test
* Replace pass branches with comments
* Add missing warnings import
* save_path -> root_dir
* Use new rank_zero_warn
* Whitespace
* Apply suggestions from code review
* formatting
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
* show progress bar dependent on refresh_rate
* test progress_bar_refresh control show bar
* remove show_progress_bar from other tests
* borda fixes
* flake8 fix
* changelog update prog bar refresh rate
* move show_progress_bar to deprecated 0.9 api
* rm show_progress_bar references, test deprecated
* Update pytorch_lightning/trainer/__init__.py
* fix test
* changelog
* minor CHANGELOG.md format
* Update pytorch_lightning/trainer/__init__.py
* Update pytorch_lightning/trainer/trainer.py
Co-authored-by: Gerard Bentley <gbkh2015@mymail.pomona.edu>
Co-authored-by: William Falcon <waf2107@columbia.edu>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
* pylint
* model API
* update test
* formatting
* disable logger
* fix checking overwrite
* fix test
* typo
* deprecated model
* fix for DDP
* drop Flake8 in GH actions
* Update pytorch_lightning/trainer/evaluation_loop.py
* fix imports
Co-authored-by: Nic Eggert <nic@eggert.io>
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* name formatting
* version
* testing
* add test
* fix test
* Update model_checkpoint.py
* doctests
* pylint
* tests
* debug
* debug
* enabled early stopping/checkpooiunt even without val step
* fix MNIST download (#1044)
* fix MNIST download
* simple
* name formatting
* version
* testing
* add test
* fix test
* doctests
* tests
* debug
* debug
* rebased 1041
* rebased 1041
* tests
* rebased 1041
* rebased 1041
* rebased 1041
* rebased 1041
* rebased 1041
* rebased 1041
* rebased 1041
* rebased 1041
* rebased 1041
* rebased 1041
* rebased 1041
* rebased 1041
* rebased 1041
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
