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

torch.masked — PyTorch 2.2 documentation

fairscale/fairscale/nn/data_parallel/sharded_ddp.py at main · facebookresearch/fairscale · GitHub

A comprehensive guide of Distributed Data Parallel (DDP), by François Porcher

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

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Error Message RuntimeError: connect() timed out Displayed in Logs_ModelArts_Troubleshooting_Training Jobs_GPU Issues

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nll_loss doesn't support empty tensors on gpu · Issue #31472 · pytorch/pytorch · GitHub

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