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

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apex/apex/parallel/distributed.py at master · NVIDIA/apex · GitHub

Non-uniform Distribution of Floating-Point Numbers

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How to train on multiple GPUs the Informer model for time series forecasting? - Accelerate - Hugging Face Forums

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

Distributed PyTorch Modelling, Model Optimization, and Deployment

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

Multi-Process Single-GPU DistributedDataParallel bug · Issue #1218 · espnet/espnet · GitHub

PyTorch Release v1.2.0