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ImageNet Distributed Mixed-precision Training with PyTorch


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We will cover the following training methods for PyTorch:

  • regular, single node, single GPU training
  • torch.nn.DataParallel
  • torch.nn.DistributedDataParallel
  • mixed precision training with NVIDIA Apex
  • TensorBoard logging under distributed training context

We will cover the following use cases:

  • Single node single GPU training
  • Single node multi-GPU training
  • Multi-node multi-GPU training

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