From a38a16e0a22e1d73a0ad4e6c4fd9c43ae524af95 Mon Sep 17 00:00:00 2001 From: Sean Date: Mon, 8 Apr 2024 12:58:18 -0400 Subject: [PATCH] Cleanup text --- Models/model_host.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/Models/model_host.py b/Models/model_host.py index a52b0e8..efecec8 100644 --- a/Models/model_host.py +++ b/Models/model_host.py @@ -11,14 +11,14 @@ #py -mpip freeze | %{$_.split('==')[0]} | %{py -mpip install --upgrade $_} -# I think all you need to do is the following to get CUDA to work with python. +# The following worked to install CUDA for using tensorflow with GPU # 1) Install CUDA 11.8 Toolkit from here # https://developer.nvidia.com/cuda-11-8-0-download-archive?target_os=Windows&target_arch=x86_64&target_version=11&target_type=exe_local # 2) The binaries should wind up in C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\bin # 3) Put the above path in the PATH environment variable -# 4) Also download cuDNN from here https://developer.nvidia.com/cudnn because tensorflow will look for cudnn64_8.dll which is i that package +# 4) Also download cuDNN from here https://developer.nvidia.com/cudnn because tensorflow will look for cudnn64_8.dll which is in that package # This download is just a bunch of DLLs with no install program. I left it in downloads folder. -# 5) put C:\download\cuDNN\cudnn-windows-x86_64-8.9.7.29_cuda11-archive\bin in the path +# 5) put C:\download\cuDNN\cudnn-windows-x86_64-8.9.7.29_cuda11-archive\bin in the PATH # 6) Run the check_gpu.py program and ensure no errors loading DLLs