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

distributed data parallel, gloo backend works, but nccl deadlock · Issue #17745 · pytorch/pytorch · GitHub

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DistributedDataParallel non-floating point dtype parameter with requires_grad=False · Issue #32018 · pytorch/pytorch · GitHub

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BUG] No module named 'torch._six' · Issue #2845 · microsoft/DeepSpeed · GitHub

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Support DistributedDataParallel and DataParallel, and publish Python package · Issue #30 · InterDigitalInc/CompressAI · GitHub

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