pytorch / pytorch/benchmark

Enable memory profiling on the models

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Dominant language
Python
Stars
1k
Forks
346
PR merge metrics
No merged PRs in 30d

Description

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Contributor guide

Open the contributing guide

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

The issue provides no files, tests, or entry points. Start by locating how models are loaded and benchmarked in the repository, then identify the existing profiling setup, if any. Done means memory profiling is enabled for the models and its results can be collected during benchmark runs.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
performance
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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