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