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| -rw-r--r-- | README.md | 5 |
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@@ -141,9 +141,8 @@ and with minimal abstractions. You can write new neural network layers in Python using the torch API [or your favorite NumPy-based libraries such as SciPy](http://pytorch.org/tutorials/advanced/numpy_extensions_tutorial.html). -If you want to write your layers in C/C++, we provide an extension API based on -[cffi](http://cffi.readthedocs.io/en/latest/) that is efficient and with minimal boilerplate. -There is no wrapper code that needs to be written. You can see [a tutorial here](http://pytorch.org/tutorials/advanced/c_extension.html) and [an example here](https://github.com/pytorch/extension-ffi). +If you want to write your layers in C/C++, we provide a convenient extension API that is efficient and with minimal boilerplate. +There is no wrapper code that needs to be written. You can see [a tutorial here](http://pytorch.org/tutorials/advanced/cpp_extension.html) and [an example here](https://github.com/pytorch/extension-cpp). ## Installation |