[Trainer] Add optional communication backends for torch.distributed when using GPU #22247
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What does this PR do?
Add optional backends for
torch.distributed
when using GPU.I want to use other communication backends according the pytorch_distribution_tutorial, but I found Trainer only uses nccl when
self.no_cuda is False
.
Fixes # (issue)
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