Fix docker GPU build for gptqmodel #3018
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gptqmodel requires information about the compute capability of the system. The default is to look at the output of `nvidia-smi` but since there is no compute hardware on the docker image builder instance we have to hard-code the compute capability. Since our CI runners use NVIDIA L4 which have a compute capability of 8.9 (according to https://developer.nvidia.com/cuda/gpus) we're using that. In the future it might be worth extending this so that people using this docker image are using a gptqmodel version that supports higher compute cap. as well.
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gptqmodel requires information about the compute capability of the system. The default is to look at the output of
nvidia-smibut since there is no compute hardware on the docker image builder instance we have to hard-code the compute capability.Since our CI runners use NVIDIA L4 which have a compute capability of 8.9 (according to https://developer.nvidia.com/cuda/gpus) we're using that.
In the future it might be worth extending this so that people using this docker image are using a gptqmodel version that supports higher compute cap. as well.