NVIDIA / NVIDIA/apex

adding --fp16 to run_language_modeling and increase batch size but cuda out of memory error

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Dominant language
Python
Stars
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Forks
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Avg merge
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Merged PRs (30d)
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Description

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Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start at the run_language_modeling entry point and inspect how --fp16 and batch size are handled. Reproduce the CUDA out-of-memory error with the reported settings, then determine the relevant change and verify that language-modeling execution completes without the error.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, pytorch
Domain
machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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