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[refactor] multiprocess_pipe: remove pipelined_backward#362

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msbaines merged 5 commits intomasterfrom
mppipe
Feb 4, 2021
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[refactor] multiprocess_pipe: remove pipelined_backward#362
msbaines merged 5 commits intomasterfrom
mppipe

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@msbaines msbaines commented Feb 4, 2021

We want to limit the number of init params. If pipelined_backward
is important, we'll add it back but not make it an option.

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We want to limit the number of __init__ params. If pipelined_backward
is important, we'll add it back but not make it an option.
@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 4, 2021
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it seems that this is a workaround anyway. to be clear, you still plan to have 3D parallelism like:

DDP (Pipeline(tensor-parallel()))

right?

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msbaines commented Feb 4, 2021

it seems that this is a workaround anyway. to be clear, you still plan to have 3D parallelism like:

DDP (Pipeline(tensor-parallel()))

right?

Looks like its needed. Updating to use this feature for MulitProcessPipe but not for AsyncPipe.

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Looks like its needed. Updating to use this feature for MulitProcessPipe but not for AsyncPipe.

Yes, this is needed for multi process.

@msbaines msbaines merged commit 42e4414 into master Feb 4, 2021
@msbaines msbaines deleted the mppipe branch February 4, 2021 23:30
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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5 participants