Prompt Title: PyTorch: GPU not available.

To uninstall the current CPU version of PyTorch and install the CUDA GPU version, you can follow these steps:

1. Uninstall the current version of PyTorch: You can do this by running the following command in your terminal or command prompt:

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   pip uninstall torch
   

2. Check your CUDA version: Before installing the CUDA version of PyTorch, make sure to check the version of CUDA installed on your system. You can do this by running the following command in your terminal or command prompt:

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   nvcc --version
   

   This command will display the version of CUDA installed on your system.

3. Install the CUDA version of PyTorch: Once you have checked the CUDA version, you can install the CUDA version of PyTorch by running the following command in your terminal or command prompt:

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   pip install torch torchvision torchaudio -f https://download.pytorch.org/whl/cu${CUDA_VERSION}/torch_stable.html
   

   Make sure to replace ${CUDA_VERSION} with the version of CUDA installed on your system, without the dots. For example, if your CUDA version is 11.2, replace ${CUDA_VERSION} with 112.

   This command will download and install the appropriate version of PyTorch with CUDA support.

4. Verify installation: You can verify that PyTorch has been installed with CUDA support by running the following command in Python:

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   import torch
   print(torch.cuda.is_available())
   

   If this command returns True, it means that PyTorch has been installed with CUDA support and can use your GPU for acceleration.