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How to support multi-GPU training? Is there some documentation and examples?
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Multi gpu is not supported yet. In the ecosystem, there is an MPI based implementation in https://github.com/avik-pal/FluxMPI.jl and Dagger.jl based one in https://github.com/FluxML/DaggerFlux.jl The plan for this repo is to implement a Dagger based solution.
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https://neptune.ai/blog/distributed-training https://lambdalabs.com/blog/multi-node-pytorch-distributed-training-guide https://pytorch.org/docs/stable/generated/torch.nn.parallel.DistributedDataParallel.html https://lambdalabs.com/blog/introduction-multi-gpu-multi-node-distributed-training-nccl-2-0 paper PyTorch Distributed: Experiences on Accelerating Data Parallel Training
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How to support multi-GPU training?
Is there some documentation and examples?
The text was updated successfully, but these errors were encountered: