NVIDIA / NVIDIA/apex

What logic used to change lr in example?

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Dominant language
Python
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Description

Contributor guide

No contributing guide indexed for this repository

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 linked line in examples/imagenet/main_amp.py and trace the learning-rate change logic around it. Document what causes the learning rate to change and update the issue with that explanation; no specific file or test for a code change is identified.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Documentation
Difficulty
2/5
Estimated time
1-3 hours
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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