C++ extensions in PyTorch
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goldsborough Merge pull request #17 from dhpollack/fix_deprecated_warnings
change sigmoid and tanh to torch from nn.functional
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README.md

C++/CUDA Extensions in PyTorch

An example of writing a C++ extension for PyTorch. See here for the accompanying tutorial.

There are a few "sights" you can metaphorically visit in this repository:

  • Inspect the C++ and CUDA extensions in the cpp/ and cuda/ folders,
  • Build C++ and/or CUDA extensions by going into the cpp/ or cuda/ folder and executing python setup.py install,
  • JIT-compile C++ and/or CUDA extensions by going into the cpp/ or cuda/ folder and calling python jit.py, which will JIT-compile the extension and load it,
  • Benchmark Python vs. C++ vs. CUDA by running python benchmark.py {py, cpp, cuda} [--cuda],
  • Run gradient checks on the code by running python grad_check.py {py, cpp, cuda} [--cuda].
  • Run output checks on the code by running python check.py {forward, backward} [--cuda].

Authors

Peter Goldsborough