DistributedDataParallel non-floating point dtype parameter with
🐛 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
Error using DDP for parameters that do not need to update gradients · Issue #45326 · pytorch/pytorch · GitHub
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fairscale/fairscale/nn/data_parallel/sharded_ddp.py at main · facebookresearch/fairscale · GitHub
apex/apex/parallel/distributed.py at master · NVIDIA/apex · GitHub
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change bucket_cap_mb in DistributedDataParallel and md5 of grad change · Issue #30509 · pytorch/pytorch · GitHub
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