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The README includes a sample visualization which showcases live loss metrics for a given pytorch worker on ray.
Implement a more general interface for the live publishing of pytorch metrics on raydar, which can help users understand the quality/progress of their distributed ML workflows on Ray in real time. A wishlist of supported features might include:
Real time loss metrics as distributed training is happening
Real time custom metrics per-model as distributed training is happening
Support from within the pytorch api on ray
The text was updated successfully, but these errors were encountered:
The README includes a sample visualization which showcases live loss metrics for a given pytorch worker on ray.
Implement a more general interface for the live publishing of pytorch metrics on raydar, which can help users understand the quality/progress of their distributed ML workflows on Ray in real time. A wishlist of supported features might include:
The text was updated successfully, but these errors were encountered: