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Copy file name to clipboardExpand all lines: README.md
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@@ -120,7 +120,7 @@ We will be constantly expanding the feature list.
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#### Supported Development Environments
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This current release works best with Visual Studio Code on Windows 10+. Ubuntu, Debian and macOS (both Intel and Apple Silicon). Visual Studio 2019+ support is included for Windows 10+.
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This current release works best with Visual Studio Code on Windows 10+. Ubuntu 22.04+, Debian and macOS (both Intel and Apple Silicon). Visual Studio 2019+ support is included for Windows 10+.
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The current release provides support for CPU on each platform, DirectML on Windows, CUDA on Windows and Linux, support for Apple Silicon GPUs, RockChip NPUs and Coral.AI TPUs. Support depends on the module itself.
rm -f "$zip_path"&& say_verbose "Temporary archive file $zip_path was removed"
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fi
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zip_path="$1"
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;;
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-?|--?|-h|--help|-[Hh]elp)
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script_name="$(basename "$0")"
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script_name="dotnet-install.sh"
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echo".NET Tools Installer"
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echo"Usage:"
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echo" # Install a .NET SDK of a given Quality from a given Channel"
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say "Note that the script does not resolve dependencies during installation."
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say "To check the list of dependencies, go to https://learn.microsoft.com/dotnet/core/install, select your operating system and check the \"Dependencies\" section."
Copy file name to clipboardExpand all lines: docs/WSL-README.md
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```
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Your WSL virtual hard drive should be smaller and the space that was used
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reclaimed by Windows.
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reclaimed by Windows.
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## GPU Support under WSL
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Please read [NVIDIAs guide](https://docs.nvidia.com/cuda/wsl-user-guide/index.html#step-1-install-nvidia-driver-for-gpu-support). The main points are:
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1.**DO NOT install NVIDIA drivers within WSL**. The Windows drivers will work under WSL, so installing drivers *inside* WSL will overwrite the Windows drivers and lead to issues
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2.**DO install the NVIDIA toolkit separately in WSL**. Head to the [toolkit download page](https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&Distribution=WSL-Ubuntu&target_version=2.0&target_type=deb_network) to find the correct instructions. For Windows 11 on CUDA 12.6, for example, the instructions are
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