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Update QAT: add grad clipping, torch.compile, collate fn #1854

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Summary: Update the qat_distributed recipe to match the full_finetune_distributed recipe. This commit adds features to QAT like gradient clipping, torch.compile, and user configurable collate function for data pre-processing.

Test Plan: TBD

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pytorch-bot bot commented Oct 16, 2024

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/torchtune/1854

Note: Links to docs will display an error until the docs builds have been completed.

✅ No Failures

As of commit 3df9045 with merge base f560cbb (image):
💚 Looks good so far! There are no failures yet. 💚

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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 Oct 16, 2024
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codecov-commenter commented Oct 16, 2024

Codecov Report

Attention: Patch coverage is 0% with 23 lines in your changes missing coverage. Please review.

Project coverage is 69.19%. Comparing base (c70ad29) to head (5aef800).
Report is 11 commits behind head on main.

Files with missing lines Patch % Lines
recipes/qat_distributed.py 0.00% 23 Missing ⚠️
Additional details and impacted files
@@            Coverage Diff             @@
##             main    #1854      +/-   ##
==========================================
+ Coverage   67.30%   69.19%   +1.89%     
==========================================
  Files         304      305       +1     
  Lines       16000    16031      +31     
==========================================
+ Hits        10768    11092     +324     
+ Misses       5232     4939     -293     

☔ View full report in Codecov by Sentry.
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@joecummings joecummings left a comment

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Can you attach some output from your run? Then this looks good to me.

**Summary:** Update the qat_distributed recipe to match the
full_finetune_distributed recipe. This commit adds features to
QAT like gradient clipping, torch.compile, and user configurable
collate function for data pre-processing.

**Test Plan:** TBD
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4 participants