text-generation-inference/server/exllamav2_kernels/setup.py
fxmarty 650fea1834
GPTQ support on ROCm (#1489)
Tested with
```
CUDA_VISIBLE_DEVICES=0 text-generation-launcher --model-id TheBloke/Llama-2-7B-Chat-GPTQ --quantize gptq
EXLLAMA_VERSION=1 CUDA_VISIBLE_DEVICES=0 text-generation-launcher --model-id TheBloke/Llama-2-7B-Chat-GPTQ --quantize gptq
CUDA_VISIBLE_DEVICES="0,1" text-generation-launcher --model-id TheBloke/Llama-2-7B-Chat-GPTQ --quantize gptq
```

all with good and identical results on MI210.

---------

Co-authored-by: Felix Marty <felix@hf.co>
Co-authored-by: OlivierDehaene <olivier@huggingface.co>
Co-authored-by: OlivierDehaene <23298448+OlivierDehaene@users.noreply.github.com>
2024-01-26 16:27:44 +01:00

29 lines
703 B
Python

from setuptools import setup
from torch.utils.cpp_extension import BuildExtension, CUDAExtension
import torch
extra_cuda_cflags = ["-lineinfo", "-O3"]
if torch.version.hip:
extra_cuda_cflags += ["-DHIPBLAS_USE_HIP_HALF"]
extra_compile_args = {
"nvcc": extra_cuda_cflags,
}
setup(
name="exllamav2_kernels",
ext_modules=[
CUDAExtension(
name="exllamav2_kernels",
sources=[
"exllamav2_kernels/ext.cpp",
"exllamav2_kernels/cuda/q_matrix.cu",
"exllamav2_kernels/cuda/q_gemm.cu",
],
extra_compile_args=extra_compile_args,
)
],
cmdclass={"build_ext": BuildExtension},
)