#Pytorch tutorial pycharm windows 10 keygen#
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My card is Pascal based and my CUDA toolkit version is 9.0 which is interpreted as 90. In my case i choose this option: Environment: CUDA_VERSION=90, PYTHON_VERSION=3.6.2, TORCH_CUDA_ARCH_LIST=PascalĮventhough i have Python 3.6.5 but it will still work for any python 3.6.x version. Go ahead and click on the relevant option. JOB NAME TESTS DURATION Environment: CUDA_VERSION=90, PYTHON_VERSION=3.6, TORCH_CUDA_ARCH_LIST=Maxwell 1 hr 15 min Environment: CUDA_VERSION=90, PYTHON_VERSION=3.5, TORCH_CUDA_ARCH_LIST=Maxwell 1 hr 12 min Environment: CUDA_VERSION=91, PYTHON_VERSION=3.6.2, TORCH_CUDA_ARCH_LIST=Maxwell 1 hr 14 min Environment: CUDA_VERSION=91, PYTHON_VERSION=3.5, TORCH_CUDA_ARCH_LIST=Maxwell 1 hr 13 min Environment: CUDA_VERSION=90, PYTHON_VERSION=3.6.2, TORCH_CUDA_ARCH_LIST=Pascal 1 hr 14 min Environment: CUDA_VERSION=90, PYTHON_VERSION=3.5, TORCH_CUDA_ARCH_LIST=Pascal 1 hr 23 min Environment: CUDA_VERSION=91, PYTHON_VERSION=3.6.2, TORCH_CUDA_ARCH_LIST=Pascal 1 hr 12 min Environment: CUDA_VERSION=91, PYTHON_VERSION=3.5, TORCH_CUDA_ARCH_LIST=Pascal 1 hr 16 min Environment: CUDA_VERSION=90, PYTHON_VERSION=3.6.2, TORCH_CUDA_ARCH_LIST=Kepler 1 hr 8 min Environment: CUDA_VERSION=90, PYTHON_VERSION=3.5, TORCH_CUDA_ARCH_LIST=Kepler 1 hr 14 min Environment: CUDA_VERSION=91, PYTHON_VERSION=3.6.2, TORCH_CUDA_ARCH_LIST=Kepler 1 hr 14 min Environment: CUDA_VERSION=91, PYTHON_VERSION=3.5, TORCH_CUDA_ARCH_LIST=Kepler 1 hr 10 min It will take you to another page where you have a variety of options available. Now jump to peterjc123 and click Windows GPU (0.4.0). Your Python version should also be known. In my case it shows, the release 9.0, V9.0.176 CUDA compilation Tools. Open up the command prompt and enter this If you want to know which version of CUDA tool kit is installed in windows. Also check your version accordingly from the Nvidia official website.
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For example if your GPU is GTX 1060 6G, then its a Pascal based graphics card. The installation also requires the correct version of CUDA toolkit and the type of graphics card. It is assumed that you already have installed NVidia GPU card. Hi there, today we are installing PyTorch in Windows.