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

Sharded Data Parallelism - SageMaker

DistributedDataParallel don't work at nightly build(1.6.0.dev20200408+cu101) · Issue #36268 · pytorch/pytorch · GitHub

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

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

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Parameter Server Distributed RPC example is limited to only one worker. · Issue #780 · pytorch/examples · GitHub

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

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

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

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

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