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[chore] Fix lint errors that broke master #348

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merged 4 commits into from
Feb 1, 2021
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@anj-s anj-s commented Feb 1, 2021

Before submitting

  • Was this discussed/approved via a Github issue? (no need for typos, doc improvements)
  • [X ] Did you read the contributor guideline?
  • Did you make sure to update the docs?
  • Did you write any new necessary tests?

What does this PR do?

Fixes broken master: https://app.circleci.com/pipelines/github/facebookresearch/fairscale?branch=master

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@facebook-github-bot facebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Feb 1, 2021
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@blefaudeux blefaudeux left a comment

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LGTM, thanks Anjali !

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@msbaines msbaines left a comment

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I think the correct solution is to not include dataclasses in know_third_party.

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blefaudeux commented Feb 1, 2021

I think the correct solution is to not include dataclasses in know_third_party.

linting used to be done with python3.6, which does not have dataclasses, which means that just following our contributing guide (like, setup pre-commit and such) would auto-add dataclasses to the dependencies. Now if the reference python version changes that's ok, but it would be nice to publicize this a little, this is the real change behind the breakage

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I think the correct solution is to not include dataclasses in know_third_party.

linting used to be done with python3.6, which does not have dataclasses, which means that just following our contributing guide (like, setup pre-commit and such) would auto-add dataclasses to the dependencies. Now if the reference python version changes that's ok, but it would be nice to publicize this a little, this is the real change behind the breakage

looks like we changed the default to 3.7 sometime in the last month, updating my environments

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anj-s commented Feb 1, 2021

I think the correct solution is to not include dataclasses in know_third_party.

Done.

@anj-s anj-s requested a review from msbaines February 1, 2021 19:13
@anj-s anj-s mentioned this pull request Feb 1, 2021
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Thanks @anj-s !

@blefaudeux blefaudeux merged commit dc05dd8 into master Feb 1, 2021
blefaudeux pushed a commit that referenced this pull request Feb 1, 2021
authored-by: Anjali Sridhar <anj@devfair0443.h2.fair>
@blefaudeux blefaudeux deleted the fix-pipe-lint branch February 16, 2021 23:06
myleott pushed a commit that referenced this pull request Feb 22, 2021
* [mypy]: fixed all the mypy errors

* make older version python happy with typing hints

* [chore] Fix lint errors that broke master (#348)

authored-by: Anjali Sridhar <anj@devfair0443.h2.fair>

Co-authored-by: anj-s <32556631+anj-s@users.noreply.github.com>
myleott added a commit that referenced this pull request Feb 22, 2021
* [chore] Fix lint errors that broke master (#348)

authored-by: Anjali Sridhar <anj@devfair0443.h2.fair>

* [fix] ShardedDDP - cpu testfix - remove Gloo/CPU (#350)

* no idea about the root issue, but it proved to be fairly narrowed (gloo+cpu+python3.8+no cuda installed) so I guess that's out of scope for fairscale

* [feat][OSS] elastic and pytorch compatible checkpoints (#310)

* adding a test to prove the inter operability with upstream pytorch
* updating the changelog
* eager state pruning
* pytorch 1.5 compat

* [fix] ShardedDDP - properly handle post device change (#353)

* adding the .to(device) support + unit testing
* doc update

* [feat] Add AdaScaleWrapper (#347)

* [feat] Add AdaScaleWrapper

- This enables a different API for wrapping an optimizer with AdaScale.
- This also enables AdaScale to be wrapped by OSS.
- However, OSS wrapping AdaScale results in different optimization,
  which future research will be needed to study its effects.

testing: add unit tests.

* addressed comment: typo

* [refactor] Refactor and enable multiprocess nn.Pipe benchmarks. (#319)

* mp cleanup

* round of multiprocess refactoring

* test golden run

* print cuda stats

* fix lint errors

* enable multiprocess pipe benchmarks

* set world size to be available gpus

* more changes

* use synthetic loaders for intermediate pipeline stages

* merged master

* fix for the devices property

* dataloader fix

* modify rank check

* print wps stats

* enable verification

* fix logging

* fix flag name

* fix flag name

* check for rank

* fix indent

* pass args

* pass args

* modify golden data

* remove unused print messsage

* fix lint errors

* add comments

* fix benchmarks

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

* [refactor] pipe: simplify balance and module checks (#346)

* [chore] v0.1.5 (#355)

* [chore] disheartening switch off of a OSS cpu test (#356)

* precise skip, only if agent has only cpu

* [feat][minor] OSS Benchmark - regression test + background testing new optims (#352)

* restoring the regression test, adding a test of the for_each optims
* fix the regression test on circleci
* removing unused flags

* [refactor] multiprocess_pipe: cleanup __init__ (#357)

* [refactor] multiprocess_pipe: remove retain_graph __init__ param (#358)

It is not currently being used so we can simplify the interface
by removing it.

* [refactor] multiprocess_pipe: focus on LazyModule usage (#360)

* [feat] ShardedDDP : Adding a proper DDP parity / AMP unit test, overdue (#361)

* Adding a proper ddp parity / AMP unit test, overdue
* catch non-AMP pytorch

* [perf][OSS] Clip grad norm : minor obvious speedup (#363)

cache this iterator, easy speed up

* [refactor] multiprocess_pipe: remove pipelined_backward (#362)

* [perf] ShardedDDP - small memory use reduction - minor speedup (#366)

* minor

* minor

* [fix] repro+fix (#365)

fix a broken earlier commit, only worked for the first step

* [refactor] OSS only use flat buffers (#371)

* flat params all along, way simpler
* updating the docstring

* [refactor] AsyncPipe: do not sub-class MultiProcessPipe (#370)

* [refactor] remove multiprocess dependency on async (#373)

* [fix] Workaround need for pip --no-build-isolation (#375)

* Add fairscale.nn.misc.checkpoint_activations (#376)

* Add fairscale.utils.containers

Co-authored-by: Min Xu <24926999+min-xu-ai@users.noreply.github.com>

* Add fairscale.nn.misc.checkpoint_activations

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

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

* [chore] v0.1.6 (#377)

* v0.1.6

Co-authored-by: anj-s <32556631+anj-s@users.noreply.github.com>
Co-authored-by: Benjamin Lefaudeux <blefaudeux@users.noreply.github.com>
Co-authored-by: Anjali Sridhar <anj@devfair0443.h2.fair>
Co-authored-by: msbaines <35972327+msbaines@users.noreply.github.com>
Co-authored-by: Leonard Lausen <leonard@lausen.nl>
Co-authored-by: Myle Ott <myleott@fb.com>
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>
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5 participants