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DistributedDataParallel non-floating point dtype parameter with

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🐛 Bug Using DistributedDataParallel on a model that has at-least one non-floating point dtype parameter with requires_grad=False with a WORLD_SIZE <= nGPUs/2 on the machine results in an error "Only Tensors of floating point dtype can re

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change bucket_cap_mb in DistributedDataParallel and md5 of grad change · Issue #30509 · pytorch/pytorch · GitHub

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