![]() In case of people interested, PyTorch v1 and CUDA are introduced in the following 2 sections. To confirm that PyTorch 1.6.0 is available for your GPU and CUDA driver, run the following Python code to decide if the CUDA driver is enabled: import torch ]) Check if CUDA is available to PyTorch 1.6.0 Here, we will construct a tensor which is initialized at random. To ensure the correct installation of PyTorch 1.6.0, we will verify the installation by running a sample PyTorch script. Pip install torch=1.6.0 torchvision=0.7.0 PyTorch 1.6.0 also doesn't support CUDA 9.1 or 9.0.ĬPU only (GPU is much better…): pip install torch=1.6.0+cpu torchvision=0.7.0+cpu -f Run pip3 install by specifying version with -fĬUDA 10.2: pip install torch=1.6.0 torchvision=0.7.0ĬUDA 10.1: pip3 install torch=1.6.0 torchvision=0.7.0 -f ĬUDA 10.0 is not officially supported by PyTorch 1.6.0, you have to install CUDA 10.2, CUDA 10.1, or CUDA 9.2.ĬUDA 9.2: pip3 install torch=1.6.0 torchvision=0.7.0 -f.There is only one command to install PyTorch 1.6.0 on macOS:Ĭonda install pytorch=1.6.0 torchvision=0.7.0 -c pytorch ![]() Starting from here, we will install PyTorch 1.6.0.ĬUDA 10.2: conda install pytorch=1.6.0 torchvision=0.7.0 cudatoolkit=10.2 -c pytorchĬUDA 10.1: conda install pytorch=1.6.0 torchvision=0.7.0 cudatoolkit=10.1 -c pytorchĬUDA 9.2: conda install pytorch=1.6.0 torchvision=0.7.0 cudatoolkit=9.2 -c pytorchĬPU Only (your PyTorch code will run slower):Ĭonda install pytorch=1.6.0 torchvision=0.7.0 cpuonly -c pytorch Run conda install and specify PyTorch version 1.6.0 Once/If you have it installed, you can check its version here. ![]() If you haven't installed CUDA, please install CUDA 10.2 or install CUDA 10.1. Note that PyTorch 1.6.0 does not support CUDA 11.0. It is highly recommended that you have CUDA installed.
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