Implementations of polygamma, lgamma, and beta functions for PyTorch

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Deep Learningcudapytorchvariational-inference
Overview

lgamma

Implementations of polygamma, lgamma, and beta functions for PyTorch. It's very hacky, but that's usually ok for research use.

To build, run:

./make.sh

You'll probably need to pass in the correct CUDA path to build.py, which is run inside make.sh, so modify it to instead call

python build.py --cuda-path YOUR_CUDA_PATH

Also, you'll probably need to change the architecture version/CUDA compute capability inside make.sh, so replace sm_35 with whatever your GPU supports. Feel free to open an issue if you run into another problem!

Owner
Rachit Singh
Rachit Singh
GitHub Repository
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