Converting Old (pre-PyTorch1.0) C++/CUDA 8 extensions to PyTorch 1.0 C++/CUDA 9 extension

C++
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I want to convert the ShiftResNet PyTorch C++ layer (https://github.com/peterhj/shiftnet_cuda_v2) from its PyTorch 0.3 C++ form to the current PyTorch 1.0 form. I want to know what are the API changes that I should be wary about.
For instance in the code

  1. the author makes use of <THC/THC.h> header but in the tutorial Custom C++ and CUDA extension <ATen/ATen.h> has been used. How should I make the changes?

It would be great if I could get a migration guide similar to the one PyTorch developers wrote for migrating to PyTorch 0.3
P.S I am an old user of PyTorch Python API but I am starting with C++ part of this framework.

1 Like
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Any updates on this?

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Can you please write the error you’re getting?

I’ve migrated from PyTorch 0.4 to 1.0 without any problem, but my custom functions are pretty basic. The changes I made in my c++ code were:

  1. Using <torch/extension.h> instead of <torch/torch.h>.
  2. AT_ASSERT now gets one parameter instead of two.
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the problem I face is that I am not sure what to do with THC/THC.h and the THCudaTensors it exposes. what are its PyTorch 1.0 counterparts?

example : https://github.com/peterhj/shiftnet_cuda_v2/blob/master/src/shiftnet_cuda.c

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It seems like THC/THC.h is still there and you can still include it in your project.
Looking at “pytorch/aten/src/THC/generic/THCTensor.h”, it looks like all THCudaTensor_ should be changed to THCTensor_, but that’s just a guess.
I personally have only used at::Tensor from ATen throughout my code so I’m not sure I can help you in case changing THCudaTensor_ to THCTensor_ did not help, but it would be helpful if you could try to build your code and reply with the error messages you’re getting.