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@soumith soumith released this 24 Feb 13:02

Bug fixes:

  • Major bugfix in CuDNN bindings for cases of non-contiguous grad-outputs
    • also added better error checking and asserts to cudnn RNN and Conv
  • Fixed serialization bugs when serializing Tensors > 2GB
  • Enable and half and double THNN backends
  • RNNBase and Embedding fixed to be compatible with DataParallel
  • Fix bug in torch.cat for multi-GPU settings
  • Support bias=False in Conv3d
  • Change behavior of detach() to actually remove the creator (previously was just detaching compute)

Features and performance

  • Refactored autograd internals into python-agnostic C++ (#662)
  • view, unsqeeze and squeeze moved to C for superior performance
  • Allow DataParallel to have tuple inputs
  • Add a torch.__version__ string.