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* fixed padding size of input tensor for reduce scatter, and fixed an error that assigned wrong group

* Update fairscale/nn/data_parallel/fully_sharded_data_parallel.py
Co-authored-by: Min Xu <24926999+min-xu-ai@users.noreply.github.com>

* added changelog

* fixed some commit.

* added unit test to ensure the reduce_scatter process group size is correct in default cases. And fall back to default process grouop when the reduce_scatter process group has the wrong size.

* throw an error instead of rolling back to use default process group for reduce_scatter_process_group

* Revert "throw an error instead of rolling back to use default process group for reduce_scatter_process_group"

This reverts commit eab5620da3b726ea55d3088ae4ca10d94dcdf4d9.

* added check for None to avoid unit test failure

* fixed an error to avoid the unit tests failure
Co-authored-by: Min Xu <24926999+min-xu-ai@users.noreply.github.com>

[chore] Update the CHANGELOG to add details about the new feature that enables reduce_scatter overlap in backward propagation (#906)

* updated the change log

* improve the change log

* FullyShardedDataParallel: only return full state dict on rank 0

* Add flag and make rank 0 only optional

* Add tests

* Add docs

* address comments

* update comments

* update torch nightly version

* update torchvision number for torch nightly dependence

* add changelog

* Update CHANGELOG.md

* Update CHANGELOG.md

* Enabling ssd_offload training and test via tests/nn/data_parallel/test_fsdp_offload.py.
* Removed unused classes: SsdBuffer, SsdTensorHandleView, SsdParameter, SsdTensor
* Enhance test coverage of test_ssd_offloading_train_flatten_params_wrapper
* Modifications from PR #887 review comments.
* Update Changelog

* [skip ci] adding comments to changelog

* adding date to changelog

* [skip ci] minor edit

* Finiteness check for all tensors

* [skip ci] updating changelog

* [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

* [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>

* 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

* 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

* [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>

* 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>

* 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>

* add log for new memory tracker features

* add log for new memory tracker features

* [chore]0.4.1 release

* put more details in one change log

* add changelog for previous commit

* add changelog for previous commit

* add changelog for previous commit

* fix a merge induced error
Co-authored-by: Min Xu <min.xu.public@gmail.com>

* [bug] [FSDP] making sure we use full params for multiple backwards within an iteration

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

* minor: changelog and pre-commit

* addressed comment

* update the release doc
Co-authored-by: Min Xu <min.xu.public@gmail.com>

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

* Add test (broken) for gradient accumulation without no_sync context manager

* changelog

* no_sync to grad_acc renaming for tests

* clean up tmp files

* support grad acc without no_sync

* minor

* update changelog

* Update fairscale/nn/data_parallel/fully_sharded_data_parallel.py

Better assertion from Sam.
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>

* lint
Co-authored-by: Min Xu <min.xu.public@gmail.com>
Co-authored-by: Min Xu <24926999+min-xu-ai@users.noreply.github.com>
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>

* [chore] 0.3.9 release

* update changelog

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

* [feat] FSDP: supporting multiple flatten parameter groups

- step 3: make FSDP use FlattenParamModule unconditionally

* fixing the auto_wrap tests

* minor

* rewrite local_metadata_dict

- updated FPW so that custom flat param name is also supported

* bug fix

* mypy

* rewrote consolidate_shard_weights

- test_consolidate passes

* comments

* fixing pickling

* Fix shared params and MoE logic (#749)

* add strict kwarg to support fairseq:gshard MoE saving logic

* Test fairseq style shard

* style

* formatting and address comments

* added changelog

* fixing a test after padding renaming
Co-authored-by: Min Xu <min.xu.public@gmail.com>
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>

* [feat] FSDP: supporting multiple flatten parameter groups

- step 2: extending FPW to support multiple flat params groups
- FSDP still only use one group
- unit test does this the new code paths
- updated the changelog

* first cut, mypy passed

* test_flatten_params_wrapper.py::TestFlattenParams tests pass

* added two more test cases and fixed a case in the code

* fixed one bug with param_path_infos

* fixed two more tests with hardcoded flat_param names

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

* add failing test

* add fix

* use 'torch.is_grad_enabled()' instead of 'module.training'

* Revert "add failing test"

This reverts commit 1c34242208f9b2c5fa6c8f181434c2be6d7cdbc0.

* add simple test

* improve test

* add check for fwd_counter

* revert typing/format changes

* move to new test file

* CHANGELOG

* remove old test

* fix import order

* fix test to be compat with torch 1.6.0

* clean up

* comments

* isort 🤦

* add failing test for buffer dtype

* fix buffer dtype issue

* update CHANGELOG

* fix

* [do not merge] testing a corner case

* workaround

* using dummy tensor to fix

* lint

* changelog

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

* [chore] 0.3.7 release

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

* [fix] auto_wrap: support wrapping based on wrapper_config

- user can use this to avoid assert if auto_wrap is used multiple times on a module
- user can traverse the modules multiple times and assign a wrapper_config
  to the module and then use auto_wrap once to wrap them

fix #649
fix #585

* added changelog

* fix tests

* fix a test

* added an optional assert for collision based on discussions with Quentin

* added config_auto_wrap_policy

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

* Save FSDP metadata for offline unflattening

* Complete the meta-data saving method with all the information needed to reconstruct a checkpoint offline, and implement the method that reconstruct a consolidated checkpoint from a sharded checkpoint

* Complete the meta-data saving method with all the information needed to reconstruct a checkpoint offline, and implement the method that reconstruct a consolidated checkpoint from a sharded checkpoint

* Add a unit test to show how to use the function

* Code review + improvement of the unit tests

* Code review: extract clean_path

* Make meta data and consolidation of checkpoint work for flatten_parameter=False

* Add new unit test file in CI

* Complete changelog and fix mypy issues

* Add support for module buffers in the consolidation of sharded checkpoints

* Better support for module buffers: save them in the meta data

* Refactoring: use a data-format for the meta data that is simpler to understand (move from object of array to array of object format)

* Renaming to make code clearer

* Code review: in_temporary_directory rework and typo correction

* Renaming
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>
Co-authored-by: QuentinDuval <QuentinDuval@users.noreply.github.com>

* api changes

* fix list

* modify changelog

* modify changelog

* modify changelog

* move function