Uni-Quant: CUDA-accelerated quantization/dequantization for Keras and XGBoost models
Project description
Uni-Quant
Small library to quantize/dequantize Keras and XGBoost models using PyTorch CUDA kernels.
Notes
- This package compiles CUDA kernels at runtime using
torch.utils.cpp_extension.load_inline. - Installing and using the CUDA compilation requires a compatible CUDA toolkit on the target machine. (Tested with 13.1)
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