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Add load rewriter #43
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For mmsegmentation case, an argument for Is there any reason to support it as |
The parameter |
Coverage reportThe coverage rate is The branch rate is
Diff Coverage details (click to unfold)mmtune/mm/context/rewriters/init.py
mmtune/mm/context/rewriters/resume.py
mmtune/mm/hooks/checkpoint.py
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https://docs.ray.io/en/latest/tune/examples/includes/pbt_function.html https://docs.ray.io/en/latest/train/user_guide.html#saving-checkpoints This is an example of checkpointing. |
OK, I understand its purpose. But, there is still one thing left to worry about. |
As far as I know there are no side effects. Search algorithm that does not use checkpoint_dir puts None in that place by default. |
This is for when the trial is restarted by the scheduler. In other cases, some results from previous training may be used selectively. e.g. pbt