how to solve the problem of torch.cuda.is_available() returns false

You can try installing the latest version of PyTorch and GPU drivers. Also make sure that your GPU is compatible with CUDA. If these steps don't work, you can try using a different GPU or using the CPU instead of the GPU for computations.

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how to solve the problem of torch.cuda.is_available() show false

You can try checking if your GPU drivers are properly installed and up to date. You can also try reinstalling PyTorch with GPU support or use a different version of PyTorch that supports your GPU. Another solution could be to use a cloud-based platform such as Google Colab or AWS to run your code on a GPU-enabled environment.

how to solve the problem of torch.cuda.is_available() shows false

There are a few potential solutions to the problem of torch.cuda.is_available() showing false. First, ensure that the CUDA toolkit and cuDNN are properly installed on your system. You should also check that your GPU is compatible with the CUDA version you are running. Additionally, try updating your graphics card drivers or reinstalling PyTorch with a different version to see if that resolves the issue.