GitLab

* [hotfix]: fix a bug in CI command

* debug

* debug

* bump cache ver

* fix

* eq

* check

* bump

* addressed comment

* [feat]: checkpoint and normalization

- added special handling of BN for track_running_stats and checkpointing
- we test BN/LN and checkpointing
- we test them with mixed precision

* Fix ampnet unit test by adding delegate object

* Remove comments

- cover them in terms of code path only
- numerically, AdaScale is different on SDP/FSDP than DDP, mainly
  due to partial view of the gradients.
- this doesn't mean it is definitely not useful but it is yet to
  be validated.
- not going to spend too much time until we have a real use case.

* [chore] move a test script

* add a shortcut for installing

* more skipping

* keep apt-get part

[refactor] Use logging in place of print statements, remove unused functions and other minor refactoring changes. (#461)

* fix pipe logging and other cleanups

* more log/debug changes

This adds a context manager that assists in making child modules with similar defaults.
Usage:
```
from fairscale.nn.misc import enable_wrap, wrap

with enable_wrap(**handleful_of_important_params):
    layer_1 = wrap(torch.nn.Linear(5, 5))
    layer_2 = wrap(torch.nn.Linear(5, 5), flatten_parameters=True) # Override parameters if you'd like

# without the context manager, creates Linear layer
layer_1 = wrap(torch.nn.Linear(5, 5))
```
If not within the FSDP context, this would be a no-op. This makes it easier to annotate layers without having to copy any changes in parameters.

* [chores]: CI py39 on GPU and more efficiency

* add test list files

* fix

* add test list files

* split benchmark run into 2 runs

* fix 1.8 version and balance benchmarks

* fix

* fix

* fix

* fix

* recording tests

* py39 install fix

* test again

* move tests

* reorg tests

* skip tests for torch 1.8 due to an upstream bug

* removed __init__.py from tests since it confuses pytest

* Revert "removed __init__.py from tests since it confuses pytest"

This reverts commit 7e156ba33dfaa5ed052031780613ec0cb57a45b0.

* don't include __init__ in file list

* notes on __init__.py and added missing ones

* fixed mypy in a test file

* balance test runtime

* better pip install

* balance more

* pip fix

* balance

* balance more, all test should finish within 20m now

* minor license update

* trying cu102

* more doc and addressed Ben's comments

* debugging

* debugging...

* [test] FSDP: add the failing test for #421

* skip on 1.5

* better skipping

* Update tests/nn/data_parallel/test_fsdp_grad_scaler.py
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>

* [fix] FSDP corner case of all params at in the children

* lint

* fix

* tradeoff

* fix doc build

* review comments

* Update README.md

* [feat]: add summon_full_params context mgr

* fix

* fix

* addressed comments

* fixed the state_dict copy

* lint

* clean start

* removing per layer split strategy, probably not that useful indeed

* initial transformer benchmark

* hack, enable testing ViT + offload, python3 benchmarks/oss.py  --epochs 2 --optim_type oss_offload_ddp --batch_size=32 --model vit_large_patch16_224

* proper cuda streams and device, something off in terms of mems consumption

* minor, stashing

* unit test fix

* removing all the distributed parts

* simpler test, needs debugging

* working OOP, running a model which does not fit on the gpu memory

* spring cleaning

* removing the ill-advised optimizer bits, better keep that orthogonal

* [offload] Add support for activation offloading + other changes (#367)

* initial fwd/bwd commit

* checkpoint work

* modify shard loop

* activation offloading and test to start with

* fix lint errors

* update comments

* fix lint

* remove unused var

* remove commented out lines

* modify name

* remove break

* remove profiler comments

* avoid saving inputs

* fix lint errors
Co-authored-by: Anjali Sridhar <anj@devfair0443.h2.fair>

* [offload] Add support for fp16 training (#374)

* initial fwd/bwd commit

* checkpoint work

* modify shard loop

* activation offloading and test to start with

* fix lint errors

* update comments

* fix lint

* remove unused var

* remove commented out lines

* modify name

* remove break

* remove profiler comments

* add support for fp16

* add unit tests

* fix lint errors

* fix test failure
Co-authored-by: Anjali Sridhar <anj@devfair0443.h2.fair>

* [offload] Add support for activation checkpointing for all layers. (#381)

* initial fwd/bwd commit

* checkpoint work

* modify shard loop

* activation offloading and test to start with

* fix lint errors

* update comments

* fix lint

* remove unused var

* remove commented out lines

* modify name

* remove break

* remove profiler comments

* add support for fp16

* add unit tests

* fix lint errors

* fix test failure

* cp work, incorrect output dimensions still need to be fixed

* fixed activation outputs

* intermediate cp of work

* add tests

* fix lint errors
Co-authored-by: Anjali Sridhar <anj@devfair0443.h2.fair>

* add support for microbatches

* revert benchmark config changes

* add parametrization

* fix lint errors and tests

* skip test for 1.5

* fix lint errors

* skip test if there are no GPUs

* fix lint errors

* fix lint errors

* move experimental to the fairscale repo

* lint error fixes

* modify test imports

* lint error fixes

* move offload files to the experimental directory

* move tests and benchmarks to their forlder

* fix mypy errors

* cp intermediate working benchmarks

* more changes

* split benchmark configs

* remove print statements

* fix lint errors

* remove unused print

* stress testing

* remove unused file

* change param nae

* lint fixes

* move file to the right folder

* offload_experimental

* add doc string

* add error message
Co-authored-by: Benjamin Lefaudeux <benjamin.lefaudeux@gmail.com>
Co-authored-by: Benjamin Lefaudeux <benjamin.lefaudeux@protonmail.com>
Co-authored-by: Anjali Sridhar <anj@devfair0443.h2.fair>

* bring back a fix from FSDP, may help a few existing users

* refactor experimental file locations

* refactor fix

* disable test temporarily

* lint error fix

* make the change in the right file

* fix lint errors

* skip failing tests
Co-authored-by: Anjali Sridhar <anj@devfair0443.h2.fair>

* use weakref in the wrapper

* comment

* comment

* Update fairscale/nn/misc/checkpoint_activations.py
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>

* [test]: add peak mem in checkpoint test

* more debugging

* new test

* more fix

* better collection of debug in case of future failures

* update the comment

* typo

* comment

* clarify

* better wording

* v0.3.0 it is, celebration time

* move experimental to the fairscale repo

* lint error fixes

* modify test imports

* lint error fixes

* lint errors
Co-authored-by: Anjali Sridhar <anj@devfair0443.h2.fair>

* POC, testing against the DDP comm hook when available
* docs, adding a reference to DDP's compress hook
* updating changelog, prep for v0.1.8 release