open-mmlab / open-mmlab/mmengine
Add a flag in CheckpointHook to save the model checkpoint before train
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- Dominant language
- Python
- Stars
- 1.5k
- Forks
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Description
We can save a checkpoint before training the model so that we can check the model initialization or check some tests codes.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Locate CheckpointHook in the mmengine repository and inspect how checkpoint saving is currently triggered. The issue names no files or tests, so first identify the hook implementation and related test coverage, then clarify the expected flag behavior and verify that a checkpoint is saved before training begins.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100