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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>
* diable val and test shuffling
* diable val and test shuffling
* diable val and test shuffling
* diable val and test shuffling
* log
* condition
* shuffle
* refactor
Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
* squash and rebase
sanity check hooks
sanity check callback hook finish
moved core progress bar functionality into callback
wip
remove duplicate merge
clean up
imports
docs
sanity check progress bar main
sanity
move callback calls
init progrss bar callback
configuration and docs
changelog
rate decorator
pass process_position
disable on rank > 0
position index
is_enabled
remove decorator
refactor init tqdm bars
callback method ordering
cannot reset when disabled
sequence -> list
default values
fix has no attr _time()
move on_val_end to proper place
fix the pickle issue
update warning
properties
check for None
remove old comment
switch order
pull out non-tqdm functionality into base class
documentation for the base class
docs
fix refresh rate issue in validation
restrict type hint of trainer arg
more docs
update trainer docs
rst docs
fix lines too long
fix test
add missing type hints
fix typo
move docstring to __init__ solves doctest failures
remove doctest :(( can't fix the pickle error
fix example
simplify by saving trainer reference
fix docs errors
move docstring
initial value
multiple val checks per epoch
simpler handling of inf dataset sizes
update inf docs
renamed training_tqdm_dict
rename get_tqdm_dict
rename occurences of tqdm
update changelog
fix doctest
fix formatting errors
added callback tests
progress bar on off test
more tests for progress bar
weird test fix?
add ignored property
disable default progress bar in LR finder
change enable/disable behavior
trying doctest in CI again
undo doctest pickle error
undo doctest pickle error :((
remove progress_bar_callback Trainer arg and fix tests
restore progress bar after auto lr find
update docs
fix rebase
fix wrong negation
* fix fast dev run total
* more thorough testing
* remove old args
* fix merge
* fix merge
* separate tests
* type hint total batches
* reduce if
Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>
* is_disabled
Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>
* is_enabled
Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>
* rename enabled/disabled
* move deprecated api
* remove duplicated test from merge
* fix rename is_disabled
* newline
* test also testprogress for fast dev run
Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* remove error when test dataloader used in test
* remove error when test dataloader used in test
* remove error when test dataloader used in test
* remove error when test dataloader used in test
* remove error when test dataloader used in test
* remove error when test dataloader used in test
* fix lost model reference
* remove error when test dataloader used in test
* fix lost model reference
* moved optimizer types
* moved optimizer types
* moved optimizer types
* moved optimizer types
* moved optimizer types
* moved optimizer types
* moved optimizer types
* moved optimizer types
* added tests for warning
* fix lost model reference
* fix lost model reference
* added tests for warning
* added tests for warning
* refactoring
* refactoring
* fix imports
* refactoring
* fix imports
* refactoring
* fix tests
* fix mnist
* flake8
* review
Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
* added custom mnist without torchvision dep
* move files so it does not conflict with mnist gitignore
* mock torchvision for tests
* fix line too long
* fix line too long
* fix "module level import not at top of file" warning
* move mock imports to __init__.py
* simplify MNIST a lot and download directly the .pt files
* further simplify and clean up mnist
* revert import overrides
* make as before
* drop PIL requirement
* move mnist.py to datasets subfolder
* use logging instead of print
* choose same name as in torchvision
* remove torchvision and pillow also from yml file
* refactor if train
Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>
* capitalized class attr
* moved mnist to models
* re-added datsets ignore
* better name for file variable
* Update mnist.py
* move dataset classes to datasets.py
* new line
* update
* update
* fix automerge
* move to base folder
* adapt testingmnist to new mnist base class
* remove temporal fix
* fix datatype
* remove old testingmnist
* readable
* fix import
* fix whitespace
* docstring
Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>
* Update tests/base/datasets.py
Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>
* changelog
* added types
* Update CHANGELOG.md
Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>
* exist->isfile
Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>
* index -> idx
* temporary fix for trains error
* better changelog message
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
William Falcon