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matthewdeng
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Changes look reasonable to me!
ray_lightning/ray_ddp.py
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| # Adjust for if there are multiple GPUs per worker. | ||
| device_id = self.local_rank + (self.num_gpus_per_worker - 1) |
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What's the intended logic here?
If num_gpus_per_worker=n this would give [n-1, n, n+1, ...]?
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yeah idk what I was thinking here 😅. Fixed with correct math and added a test for this.
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Various fixes for distributed GPU Training
All GPU tests were run manually and are passing.