GitLab

* [skip ci] first commit to automate release process

* empty commit

* fix syntax

* fix next_version value

* fixing more syntax

* remove uses

* fix

* fixed path in setup.py

* trying a basic example

* adding branch

* change release to name

* adding first step

* remove push trigger

* change order in ON section

* modifying manual workflow

* adding fairscale release workflow

* removing unused workflows

* replacing values with secrets

* fixing __version__ in __init__.py

* cleanup

* restoring import statement

Added warn_on_trainable_params_changed constructor parameter to allow the user to suppress the warning on trainable parameters changed (#886)

* Added warn_on_trainable_params_changed constructor parameter to allow the user to suppress the warning on trainable parameters changed; the default is True and thus the default behavior is unchanged

* Addded parameter documentation

- During eval, we will fallback to just output projection without fusing
- added unit test to ensure the shape is correct

Fix for Key Error that can happen in certain FSDP wrapping scenarios of Huggingface model sub-modules (issue #876) (#881)

* Fix for Key Error that can happen in certain FSDP wrapping scenarios of Huggingface model sub-modules (issue #876)

* Styling fixes

* Updated the test to be independent of the Huggingface transformers package

* Added test for issue #876

* Small error message fix

* Skip test when CUDA is not available

* Fixed naming of model

* [fix] [FSDP] Do not lose original reshard_after_forward

- In a corner case we can lose this value
- Saving it and use it in the reset function fixed it
- A trivial case probably not worth a dedicated test for now

* added changelog

* Add MOE to lm benchmarks

* linter

* Fix source / target

* address comments

* address comments

* address comments

* add circleci

* fix circleci

* precommit

* Update README to specify the exact PyTorch version we are testing with.

* update to 1.10.0 in the README

* DOC: fix the rst-headers in installation instructions

* DOC: add installation through conda-forge to instructions

* DOC: fix rst-syntax in installation-instructions

* DOC: add comment about building from source with GPU-support

* [chore] 0.4.3 release

* update setup.py
Co-authored-by: Min Xu <min.xu.public@gmail.com>

* [fix]: fix eval for shared weight FSDP

* fixing optim state saving

* add changelog

* reformat with newer local isort

* update test

* avoid computing reference state unless we are testing training

* added optim_state test

* make mypy happy

* move tests; maybe we need to CUDA memory related tests in the first of the lists
Co-authored-by: Min Xu <min.xu.public@gmail.com>

* adding a manual workflow

* add push

* fix syntax

* adding a new workflow

* renaming file

* cleanup yaml files

* [skip ci] removing pyproject edits

* fixed lint issues

* remove unused print statements

* add changelog entry

* [skip ci] fix lint errors

* update changelog

* [skip ci] removed requirements-test.txt

* [skip ci] updating changelog

* [skip ci] add PR numbers

* replacing requirements-test.txt by requirements-dev.txt

* [skip ci] changing requirements-test to requirements-dev in pre-commit and requirements-benchmarks

* [skip ci] mark manual static analysis checks as deprecated

* empty commit to trigger ci

* [skip ci] updating changelog

* [skip ci] addressing comments

* addressing more comments

* first commit

* sharded scaler hitting nan assertions

* adding test for sharded grad scaler without cpu offload

* ddp grad scaler and fsdp sharded grad scaler test failing

* removing test_output

* fix no cpu offload test

* changing optimizer from OSS to SGD

* all tests passing, code cleanup pending

* code cleanup

* fix pyproject.toml

* removing .isort.cfg

* running isort linter

* resolving isort issues

* resolving black linter issue

* resolving mypy issues

* fix import statement

* fix mypy error

* modifying import statement

* adding pytorch version requirement

* fixing pytest skip test decorator

* apply version guard for ShardedGradScaler

* removing test_fsdp_grad_scaler

* increasing num_epochs for ShardedGradScaler so that updates are not skipped

* adding support for torch 1.8

* minor edit

* [skip ci] more torch 1.8 changes

* parametrizing the tests

* cleanup code with linters

* [skip ci] update doc string

* [skip ci] addressing some more comments

* adding pre-commit files

* applying pre-commit to all files

* adding no-strict-optional argument to mypy in circle ci config

* fix typo

* updating python versions

* [skip ci] remove extra args

* adding python 3.9

* [skip ci] set pre-commit version in requirements-dev.txt

* set CACHE_VERSION

* move linters from circleci to github actions

* update python version

* update python version in benchmarks_2

* moving to python 3.9.7

* CI config changes

* changing params for failing tests

* [skip ci] minor edit

* [chore] 0.4.2 release

* updating torch version

* [skip ci] updating readme and requirements.txt

* update release notes

* initial commit

* lint cleanup etc.

* helper functions; lint errors

* lint errors

* lint errors

* add back the boolean for named_parameters

* address comments and fix lint

* remove unused functions and class

* remove unused state

Add SlowMo Distributed Data Parallel for clusters with slow interconnects
Co-authored-by: Vinayak Tantia <tantia.vinayak1@gmail.com>

* [feat] MEVO kernel

- initial import from min/softmax and min/testing branches
- need to rename and further cleanup

* only test with newer pytorch

* renamed and added comments and code cleanup

* rename and reduce test memory

* testing

* minor fixing

* fixing

* more fix

* changelog

* more 1.7 and 1.8 paper cuts

* remove dead code

* addressed Benjamin's comments

* addressed more comments
Co-authored-by: Min Xu <min.xu.public@gmail.com>

Co-authored-by: Min Xu <min.xu.public@gmail.com>

* added a new test, passing without shared weights

* tested weight sharing

* added the test to test list file

* extended to world_size = 2

* fixed test

* [feat]: add limited and experimental support for shared parameter

* fixed tests

* simplify to work with layer with at least 1 non-shared params and add code to pick up linked_param field for sharding the shared param

* fixed the case where linked param is not in separate FSDP

* changelog and remove old code
Co-authored-by: Min Xu <min.xu.public@gmail.com>

* add doc strings

* add lower level SSD APIs and tests

* add the test to the list to be run

* remove unused imports

* more doc string changes

* fix lint errors

* [fix] fix test on main

* [fix] fix test on main
Co-authored-by: Min Xu <min.xu.public@gmail.com>

* remove offload dependency on fp16

* update python version for cpu tess

* run CPU tests with updated PyTorch version

* split changes

* revert tests config

* fix lint errors

* update nightly and test PyTorch versions

* skip failing multiprocess pipe test

* always skip test

* always skip test

* always skip test

* lint error

* skip unsupported versions

* improve skip message

* lint errors

* modify docs

* add tests

* fix test failures

* modify comments

* fix lint errors

* fix lint errors

* checkpoint + nonflat + mixed_precision

* make tests pass with expected errors

* addressed comments

* add a comment
Co-authored-by: Min Xu <min.xu.public@gmail.com>

* skip creating cpu grads and pinning memory

* added additional comment

* pin docutils to fix circleCI

* added the failing test

* fixed the bug

* fine-tune the condition

* typo

* typo

* changelog and added test to test files
Co-authored-by: Min Xu <min.xu.public@gmail.com>

Fixes #827.
Co-authored-by: Eugen Hotaj <ehotaj@fb.com>

* relax speed constraints

* relax the regressions constraints