python-pytorchHow do I install the latest version of PyTorch with CUDA support on Python?

1. First, you need to install the latest version of PyTorch with CUDA support for Python. To do this, you can use the pip command:

pip install torch==1.6.0+cu101 torchvision==0.7.0+cu101 -f https://download.pytorch.org/whl/torch_stable.html

2. After the installation is complete, you can check the version of PyTorch and CUDA you have installed by running the following command:

python -c "import torch; print(torch.__version__)"

The output should be something like 1.6.0+cu101.

3. Once you have verified the version of PyTorch and CUDA you have installed, you can check if CUDA is enabled by running the following command:

python -c "import torch; print(torch.cuda.is_available())"

If the output is True, then CUDA is enabled.

4. You can also check the version of CUDA you have installed by running the following command:

nvcc --version

5. Finally, you can check the GPU you have installed by running the following command:

nvidia-smi

• Pip command: pip install torch==1.6.0+cu101 torchvision==0.7.0+cu101 -f https://download.pytorch.org/whl/torch_stable.html
• Check PyTorch version: python -c "import torch; print(torch.__version__)"
• Check CUDA enabled: python -c "import torch; print(torch.cuda.is_available())"
• Check CUDA version: nvcc --version
• Check GPU installed: nvidia-smi

Helpful links

• PyTorch Installation Guide
• CUDA Installation Guide

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