From e10dc700c3cacb699e1044b2f04753a3e4fe59ff Mon Sep 17 00:00:00 2001
From: erew123 <35898566+erew123@users.noreply.github.com>
Date: Sun, 24 Dec 2023 10:20:03 +0000
Subject: [PATCH] Update README.md
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README.md | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
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@@ -253,8 +253,8 @@ I would suggest that if its in an interview format, you cut out the interviewer
#### ⚫ Important requirements CUDA 11.8
As mentioned you must have a small portion of the Nvidia CUDA Toolkit **11.8** installed. Not higher or lower versions. Specifically **11.8**. You do not have to uninstall any other versions, change any graphics drivers, reinstall torch or anything like that. To keep the download+install as small as possible, you will need to:
- Download the **xxx (network)** install of the Nvidia Cuda Toolkit 11.8 from [here](https://developer.nvidia.com/cuda-11-8-0-download-archive)
-- When you run the installation, select **Custom Advanced** as your installation type. Uncheck `CUDA` at the top then expand `Development` > `Compiler` > and select `nvcc` then expand `Libraries` and select `CUBLAS`
-- Back at the top of the selection list expand `Runtime` and select `CUBLAS`. You can now next through the install.
+- When you run the installation, select **Custom Advanced** as your installation type. Uncheck `CUDA`, `Other Components` and `Driver Components` at the top then expand `CUDA` > `Development` > `Compiler` > and select `nvcc` then expand `Libraries` and select `CUBLAS`
+- Back at the top of `CUDA` expand `Runtime` > `Libraries` and select `CUBLAS`. You can now next through the install.
- When that has installed, open a terminal/command prompt and type `nvcc --version`. If it reports back `Cuda compilation tools, release 11.8.` you are good to go. **Specifically, 11.8**. If not continue to the next step.
- For both Windows an Linux, you will need to ensure that `nvcc` and the 11.8 cuda library files are in your environments search path. You can undo the changes below after finetuning if you prefer.
**Windows** - Edit the Windows PATH environment variable and add `C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\bin`