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Give an option to either provide dataset or dataset_size in distributed sampler #1479
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ramanishsingh
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I think we should continue subclassing
DistributedSampler
forStatefulDistributedSampler
- it is easy to udnerstand that by just the naming and we might trigger many type checking issues in downstream code which usesStatefulDistributedSampler
and expects a variant ofDistributedSampler
.Since
DistributedSampler
is a common utility in PyTorch,StatefulDistributedSampler
should be expected to be an extension of it.There was a problem hiding this comment.
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I decided to fork it instead of subclassing because I do not want to upstream these changes in
torch.utils.data.distributed.DistributedSampler
as it might break other users' code.Nevertheless, it is redundant to have Dataset as an arg when we just need the length of it.