custom_matmul_kernels
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DeMoriarty
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when I run the kernel code in main branch or master branch, the same error occured as following:
please make sure you have nvcc installed on your system, run:
which nvcc
on linuxs, or:
where nvcc
on windows. it should return the path of nvcc.
if nvcc isn't installed on your system, please go to https://developer.nvidia.com/cuda-downloads to download cuda toolkit. Do NOT download v11.6, it isn't supported by cupy yet.
Install the latest version of cupy that matches your cuda toolkit version (or upgrade cupy to the latest version if you have already installed). For example, if your cuda toolkit version is 11.5, run:
pip3 install cupy-cuda115
to install cupy. If your cuda toolkit version is 11.5, but you've already installed cupy-cuda112, first uninstal cupy-cuda-112, then install cupy-cuda115.
if you're confident that nvcc is installed, but the above command doesn't return the path of nvcc, then make sure /usr/local/cuda-{version}/bin (on linux) or C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v{version}\bin (on windows) is included in PATH variable.
I am sure that I have installed nvcc and it has been included in PATH variable. However, it seems still no work
if /home/oushou/cuda-11.0/ is where cuda is installed, then you should use the nvcc in /home/oushou/cuda-11.0/bin/. also make sure the installed version of cupy is cuda-cupy110