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What is the purpose of this PR? Is it to

  • add a new feature
  • fix a bug
  • update tests and/or documentation
  • other (please add here)

Addresses #1441.

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  • run pre-commit hooks and linters (make sure you've first installed via pre-commit install)
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If your function changed a public API, please add a dummy example of what the user experience will look like when calling it.
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Example in our docs: https://pytorch.org/torchtune/main/tutorials/qat_finetune.html#applying-qat-to-llama3-models

  • I did not change any public API;
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pytorch-bot bot commented Aug 29, 2024

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/torchtune/1460

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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 Aug 29, 2024
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codecov-commenter commented Aug 30, 2024

Codecov Report

Attention: Patch coverage is 67.56757% with 12 lines in your changes missing coverage. Please review.

Project coverage is 72.02%. Comparing base (0bdd308) to head (1254514).

Files with missing lines Patch % Lines
recipes/ppo_full_finetune_single_device.py 0.00% 2 Missing ⚠️
recipes/eleuther_eval.py 0.00% 1 Missing ⚠️
recipes/full_finetune_distributed.py 0.00% 1 Missing ⚠️
recipes/full_finetune_single_device.py 0.00% 1 Missing ⚠️
recipes/generate.py 0.00% 1 Missing ⚠️
recipes/lora_dpo_distributed.py 0.00% 1 Missing ⚠️
recipes/lora_dpo_single_device.py 0.00% 1 Missing ⚠️
recipes/lora_finetune_distributed.py 0.00% 1 Missing ⚠️
recipes/lora_finetune_single_device.py 0.00% 1 Missing ⚠️
recipes/qat_distributed.py 0.00% 1 Missing ⚠️
... and 1 more
Additional details and impacted files
@@            Coverage Diff             @@
##             main    #1460      +/-   ##
==========================================
+ Coverage   69.80%   72.02%   +2.22%     
==========================================
  Files         272      272              
  Lines       13053    13053              
==========================================
+ Hits         9111     9401     +290     
+ Misses       3942     3652     -290     

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

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This may be one of those rare cases in which it belongs actually in a common utils, rather than training.

My reasoning here is that we need this set_seed for generation and eval, as well, which are not training. Therefore, it would be confusing to import from trainiing.

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RdoubleA commented Sep 3, 2024

My reasoning here is that we need this set_seed for generation and eval, as well, which are not training. Therefore, it would be confusing to import from trainiing.

A few of the utils APIs fall under this category, like set_device, set_dtype, etc. But I don't have strong opinions either way, if we leave set_seed in utils then I can close this PR.

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My reasoning here is that we need this set_seed for generation and eval, as well, which are not training. Therefore, it would be confusing to import from trainiing.

A few of the utils APIs fall under this category, like set_device, set_dtype, etc. But I don't have strong opinions either way, if we leave set_seed in utils then I can close this PR.

Yeah I'd prefer to leave those in utils or rename to common or something. not sure.

@SalmanMohammadi
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There's torchune.modules.common_utils.py

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There's torchune.modules.common_utils.py

Nah, I don't think these should live nested in modules/. Let's keep it where it is for now and we can discuss if we need a more descriptive name than utils.

@RdoubleA RdoubleA closed this Sep 3, 2024
@RdoubleA RdoubleA reopened this Sep 3, 2024
@RdoubleA RdoubleA requested a review from joecummings September 3, 2024 18:20
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not happy about it, but unblocking for now :/

@RdoubleA RdoubleA merged commit 4dc1cd0 into meta-pytorch:main Sep 3, 2024
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5 participants