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Optionally use flash-attn's CE loss for metrics #3394

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merged 16 commits into from
Jun 17, 2024
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snarayan21
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@snarayan21 snarayan21 commented Jun 11, 2024

What does this PR do?

Resubmission of #3214 -- using FA's CE Loss results in lower peak reserved memory usage and higher throughput. We are not adding flash attention as an optional dependency to composer since this makes installs and correct builds messy & take a lot longer.

Fixed a small typo where the torch 3.11 CPU tests were using the GPU image with flash attn installed by accident.

Also modified DeviceGPU class so that it instantiates a gloo backend for CPU tensors, if gloo is available. This handles cases where users may want to perform distributed operations with tensors present on CPU even if they are using GPUs.

Manual tests:

  • Run started on dev (13b-dense-fsdp-fullshard-hsdp-adam-shardedckpt-start-5PtEdK), resumed with this branch (13b-dense-fsdp-fullshard-hsdp-adam-shardedckpt-resume-E5SieL)
  • Run started on this branch (13b-dense-fsdp-fullshard-hsdp-adam-shardedckpt-start-0g8uD4), resumed with dev branch (13b-dense-fsdp-fullshard-hsdp-adam-shardedckpt-resume-TSGoUC)

4th time's the charm :0

Run with torch CE loss (green): tiny-sp-dtms1-32h-wCFWfa
Run with FA CE loss (tan): tiny-sp-dtms1-32h-jOfIPL

Screenshot 2024-06-11 at 3 53 53 PM Screenshot 2024-06-11 at 3 54 01 PM

What issue(s) does this change relate to?

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  • Is this change a documentation change or typo fix? If so, skip the rest of this checklist.
  • Was this change discussed/approved in a GitHub issue first? It is much more likely to be merged if so.
  • Did you update any related docs and document your change?
  • Did you update any related tests and add any new tests related to your change? (see testing)
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@snarayan21 snarayan21 requested a review from a team as a code owner June 11, 2024 22:56
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@dakinggg dakinggg left a comment

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Holding review until after freeze

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Can we offer a flag to gate as well? IIRC there are occasionally numerics issues for long seq...

@ShashankMosaicML do u remember

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Can we offer a flag to gate as well? IIRC there are occasionally numerics issues for long seq...

@ShashankMosaicML do u remember

Flash attention fixed the long seq issue in this PR: Dao-AILab/flash-attention@c79de85

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will review once CI passes

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Seeing the error below on CPU tests:

>       assert input.is_cuda and target.is_cuda, "Only support CUDA tensors"
E       AssertionError: Only support CUDA tensors

So i'm gonna add a check for torch.cuda.is_available()

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jk. The torch 3.11 cpu tests were using the cuda image on accident, causing this problem. It was only the torch 3.11 tests too. Fixed that in this PR as well.

@snarayan21 snarayan21 requested a review from a team as a code owner June 14, 2024 23:05
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lgtm

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add unit tests for this before merging please

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holding till offline discussion

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LGTM. Noting that changing the GPU backend to provide both mirrors PyTorch's default behavior, which initializes both a GPU and a CPU dist backend.

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Added manual test names to PR description

@snarayan21 snarayan21 merged commit 2cf9262 into dev Jun 17, 2024
17 checks passed
@snarayan21 snarayan21 deleted the saaketh/fa_ce_loss branch June 17, 2024 19:09
snarayan21 added a commit that referenced this pull request Jun 18, 2024
snarayan21 added a commit that referenced this pull request Jun 18, 2024
snarayan21 added a commit that referenced this pull request Jun 18, 2024
* Revert "Optionally use `flash-attn`'s CE loss for metrics (#3394)"

This reverts commit 2cf9262.

revert dat boi

* remove

* slamm
@snarayan21 snarayan21 restored the saaketh/fa_ce_loss branch June 19, 2024 04:31
mvpatel2000 added a commit to mvpatel2000/composer that referenced this pull request Jul 21, 2024
* yo

* slam

* cuda

* cuda checks

* test

* fix_test

* gloo

* gloo

* lint

* lint

---------

Co-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>
Co-authored-by: Mihir Patel <mihir.v.patel7@gmail.com>
mvpatel2000 pushed a commit to mvpatel2000/composer that referenced this pull request Jul 21, 2024
mvpatel2000 pushed a commit to mvpatel2000/composer that referenced this pull request Jul 21, 2024
* Revert "Optionally use `flash-attn`'s CE loss for metrics (mosaicml#3394)"

This reverts commit 2cf9262.

revert dat boi

* remove

* slamm
mvpatel2000 added a commit that referenced this pull request Jul 21, 2024
* yo

* slam

* cuda

* cuda checks

* test

* fix_test

* gloo

* gloo

* lint

* lint

---------

Co-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>
Co-authored-by: Mihir Patel <mihir.v.patel7@gmail.com>
mvpatel2000 pushed a commit that referenced this pull request Jul 21, 2024
mvpatel2000 pushed a commit that referenced this pull request Jul 21, 2024
* Revert "Optionally use `flash-attn`'s CE loss for metrics (#3394)"

This reverts commit 2cf9262.

revert dat boi

* remove

* slamm
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4 participants