Bug: --gpu option cannot work on win10, not friendly to WIN.

[liuye1992]

Contact Details

No response

What happened?

Recording to some warnings (such as:get_nvcc_path: note: /usr/local/cuda/bin/nvcc.exe does not exist) outputted by the log uploaded, seems llamafile with --gpu only tries to screen CUDA installation location of Linux OS.

So how to specify the one i want from two GC on Windows？

Version

llamafile-0.6.2.exe CUDA Version: 11.7 GTX 1650 4G

What operating system are you seeing the problem on?

Windows

Relevant log output

import_cuda_impl: initializing gpu module...
get_nvcc_path: note: nvcc.exe not found on $PATH
get_nvcc_path: note: $CUDA_PATH/bin/nvcc.exe does not exist
get_nvcc_path: note: /opt/cuda/bin/nvcc.exe does not exist
get_nvcc_path: note: /usr/local/cuda/bin/nvcc.exe does not exist
link_cuda_dso: note: dynamically linking C:\Users\Administrator/.llamafile/ggml-cuda.dll
ggml_cuda_link: welcome to CUDA SDK with tinyBLAS
link_cuda_dso: GPU support linked
link_cuda_dso: GPU support not possible
fatal error: support for --gpu nvidia was explicitly requested, but it wasn't available

[jart]

Have you tried using the latest version? 0.6.2 is from a very long time ago.

[liuye1992]

Have you tried using the latest version? 0.6.2 is from a very long time ago.

Several hours ago I installed the lastest version and run it successfully on powershell, but some warinings were outputted and GPU was unable to be used for Model training and inference still.

seems the reason is CUDA SDK called by ggml-cuda.dll library cannot find any GPU devices.

Warining information below:

“ ggml_cuda_link: welcome to CUDA SDK with tinyBLAS link_cuda_dso: No GPU devices found ”