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

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blefaudeux merged 2 commits intomasterfrom
py39_pure_cpu_skip
Feb 3, 2021
Merged

[chore] disheartening switch off of a OSS cpu test#356
blefaudeux merged 2 commits intomasterfrom
py39_pure_cpu_skip

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@blefaudeux
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Before submitting

  • Was this discussed/approved via a Github issue? (no need for typos, doc improvements)
  • Did you read the contributor guideline?
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  • Did you write any new necessary tests?

What does this PR do?

This test runs on CPU, and typically never fails, on agents which are cuda enabled (it does use Gloo and device==cpu). The newer jobs which don't have cuda randomly fail on this very same test with python3.9, even if to the best of my knowledge nothing should change. This test remains active for gpu enabled agents, even if

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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 3, 2021


@skip_if_py39_no_cuda
def test_multiple_groups():
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the failure case is specifically on agents which do not have cuda, even if this should not matter to this specific test (gloo and cpu).

@blefaudeux
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see https://app.circleci.com/pipelines/github/facebookresearch/fairscale/1533/workflows/9fbae0c7-2586-4688-86fa-306e1aaf21ce/jobs/7202 (and the rest of the history, one step up) to have an idea of the flakiness of this test

@min-xu-ai
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thanks for including the details. it is sad, but sure.

@blefaudeux
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thanks for including the details. it is sad, but sure.

I think it would be nice to debug eventually, but we're a bit short handed for that, and it's not really on the critical path to mission, so compromising..

@blefaudeux blefaudeux merged commit 011c0c4 into master Feb 3, 2021
@blefaudeux blefaudeux deleted the py39_pure_cpu_skip branch February 3, 2021 22:44
myleott pushed 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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3 participants