@ -15,7 +15,7 @@ Method 2 is good because it allows the user to only build the kernel they actual
## PyTorch Extensions in Colossal-AI
The project DeepSpeed (https://github.com/microsoft/DeepSpeed) has proposed a [solution](https://github.com/microsoft/DeepSpeed/tree/master/op_builder) to support kernel-build during either installation or runtime.
The project [DeepSpeed](https://github.com/microsoft/DeepSpeed) has proposed a [solution](https://github.com/microsoft/DeepSpeed/tree/master/op_builder) to support kernel-build during either installation or runtime.
We have adapted from DeepSpeed's solution to build extensions. The extension build requries two main functions from PyTorch:
1. `torch.utils.cpp_extension.CUDAExtension`: used to build extensions in `setup.py` during `pip install`.