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Because I use an Apple Silicon chip, I lack a Windows CUDA development environment. For CUDA support, there are many scenarios that are difficult to cover both in development and testing.
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- Currently, CUDA 11.8.0 and 12.4.1 versions are provided through GitHub Actions, which may have compatibility issues with the environment
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- Currently, CUDA 11.8.0 and 12.4.0 versions are provided through GitHub Actions, which may have compatibility issues with the environment
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- To enable CUDA, you need to determine if your computer supports CUDA and has installed the CUDA toolkit. [CUDA download](https://developer.nvidia.com/cuda-downloads)
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- The version of the CUDA toolkit theoretically supports backward compatibility. Please choose the appropriate 11.8.0 or 12.4.1 version based on your graphics card support
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- The version of the CUDA toolkit theoretically supports backward compatibility. Please choose the appropriate 11.8.0 or 12.4.0 version based on your graphics card support
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- If you have problems downloading generic usage, you can download optimized Version, which is optimized for better compatibility across a variety of graphics card families
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## Core ML support
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