Named Pipe message mode support (Linux kernel >= 3.4 only).

DXVA2 GPU video decoding (experimental).

CUDA / PhysX / NVENC Support for NVIDIA graphic cards.CSMT (Commandstream multithreading) for better graphic performance.The latest Wine Staging provides the following extra features and bug fixes: The project has evolved and some Linux distributions, like Fedora, provide it in the official repositories instead of the regular Wine version. You can even check it using python: import torch Staging (formerly known as Wine Compholio) was initially created for Pipelight, a project that brings Silverlight and other Windows-only plugins to Linux web browsers. GPU Device 0: 'GeForce GTX 1060' with compute capability 6.1GPU Device 0: 'GeForce GTX 1060' with compute capability 6.1 You should see something like: $ /usr/local/cuda-10.0/samples/bin/x86_64/linux/release/matrixMulCUBLAS - Starting. You should see something like: $ /usr/local/cuda-10.0/samples/bin/x86_64/linux/release/deviceQuery /usr/local/cuda-10.0/samples/bin/x86_64/linux/release/deviceQuery Starting.CUDA Device Query (Runtime API) version (CUDART static linking) Detected 1 CUDA Capable device(s)Ģ.matrixMulCUBLAS /usr/local/cuda-10.0/samples/bin/x86_64/linux/release/matrixMulCUBLAS usr/local/cuda-10.0/samples/bin/x86_64/linux/release/deviceQuery To do so, we enter these commands: cd /usr/local/cuda-10.0/samples sudo make

Now, we need to confirm that our CUDA installation is complete. To apply this change, do: source ~/.bashrc Add these two lines to the bottom of your ~/.bashrc to complete post-installation configuration: # CUDA Config - ~/.bashrc export PATH=/usr/local/cuda-10.0/bin:/usr/local/cuda-10.0/NsightCompute-1.0$ This is strictly for Cuda 10.0.ĭownload the CUDA. Notice that installing Cuda 10.0 is very different from Cuda 9.0 and 9.2, so don’t use the same instructions for both of them.

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