python-pytorchHow do I install PyTorch with CUDA using Python?
- First, you need to install PyTorch with CUDA support. This can be done with the following command:
pip install torch torchvision
- After installation, you need to check if PyTorch is installed with CUDA support. This can be done with the following command:
python -c "import torch; print(torch.cuda.is_available())"
The output of this command should be True
if PyTorch is installed with CUDA support.
- After installation, you need to set up the environment variables for CUDA. This can be done with the following command:
export PATH=/usr/local/cuda-10.1/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-10.1/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
- You then need to check if the environment variables are set correctly. This can be done with the following command:
echo $PATH
echo $LD_LIBRARY_PATH
The output of these commands should include the paths that were set in step 3.
- Finally, you need to check if PyTorch is using the correct CUDA version. This can be done with the following command:
python -c "import torch; print(torch.version.cuda)"
The output of this command should be the version of CUDA that you installed in step 1.
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