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Fix GPT-NeoX-20B past handling, attention computation #17811

Merged
merged 2 commits into from
Jun 30, 2022
Merged

Fix GPT-NeoX-20B past handling, attention computation #17811

merged 2 commits into from
Jun 30, 2022

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zphang
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@zphang zphang commented Jun 21, 2022

What does this PR do?

  • Fixes GPT-NeoX-20B handing of the past object to correctly be used in .generate
  • Swaps attention computation for one more similar in the original training code, to hopefully avoid NaNs
  • Update docstring, removed unnecessary dropout configs in config object

Fixes # (issue)

#17632
#17452 (Hopefully)

Before submitting

  • This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
  • Did you read the contributor guideline,
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  • Was this discussed/approved via a Github issue or the forum? Please add a link
    to it if that's the case.
  • Did you make sure to update the documentation with your changes? Here are the
    documentation guidelines, and
    here are tips on formatting docstrings.
  • Did you write any new necessary tests?

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@sgugger

sgugger
sgugger approved these changes Jun 21, 2022
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Thanks for the fix, I can confirm that with this PR, I get the same generations in float32 and float16 (whereas before, I get either a crappy one or some Nans in float16) for EleutherAI/gpt-neox-20b.

The cleaning up in the config LGTM, thanks for making the docstring on par with the defaults, and the two attributes you remove are not used anywhere.

src/transformers/models/gpt_neox/modeling_gpt_neox.py Show resolved Hide resolved
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HuggingFaceDocBuilderDev commented Jun 21, 2022 •
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The documentation is not available anymore as the PR was closed or merged.

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sgugger commented Jun 21, 2022

There are a few equivalence tests failing with the PR, if you can dive into it. Let us know if you need any help!

patrickvonplaten
patrickvonplaten reviewed Jun 21, 2022
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src/transformers/models/gpt_neox/modeling_gpt_neox.py Outdated
@@ -635,7 +648,7 @@ def prepare_inputs_for_generation(self, input_ids, past=None, attention_mask=Non
attention_mask = input_ids.new_ones(input_shape)

# cut decoder_input_ids if past is used
if past is not None:
if past is not None and past[0] is not None:
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Out of curiosity why is the second statement needed here? The past[0] is not None part?

patrickvonplaten
patrickvonplaten reviewed Jun 21, 2022
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src/transformers/models/gpt_neox/configuration_gpt_neox.py
@@ -38,32 +38,28 @@ class GPTNeoXConfig(PretrainedConfig):


Args:
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Thanks for cleaning this up!

patrickvonplaten
patrickvonplaten approved these changes Jun 21, 2022
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Thanks for fixing @zphang !

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zphang commented Jun 29, 2022

I've run the tests locally and they pass, so I can't seem to reproduce the test errors. Can someone else give them a try?

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sgugger commented Jun 29, 2022

The tests pass on GPU but not on CPU on my side. So doing

CUDA_VISIBLE_DEVICES="" pytest tests/models/gpt_neox/test_modeling_gpt_neox.py

reproduces the failure.

@sgugger sgugger merged commit 205bc41 into huggingface:main Jun 30, 2022
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sgugger commented Jun 30, 2022

Thanks again! Nice to be able to use GPT-Neo-X in float16 for generations :-)

viclzhu pushed a commit to viclzhu/transformers that referenced this pull request Jul 18, 2022
@zphang @viclzhu
Fix GPT-NeoX-20B past handling, attention computation (huggingface#17811
353a747 
)

* Fix GPT-NeoX-20B past handling, swap attention computation to hopefully avoid NaN, update docs

* 20B tests
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@sgugger sgugger sgugger approved these changes

@patrickvonplaten patrickvonplaten patrickvonplaten approved these changes

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@zphang @HuggingFaceDocBuilderDev @sgugger @patrickvonplaten