AttributeError: module 'torch' has no attribute 'cuda'

This error occurs when you try to use the `cuda()` function of the `torch` module, but it is not available in your current configuration of PyTorch.

To resolve this issue, make sure that you have installed PyTorch with CUDA support and that your GPU is compatible with CUDA. You can check the compatibility of your GPU with CUDA on the NVIDIA website.

If you have installed PyTorch with CUDA support, make sure that you have imported the necessary modules correctly. You can import the `torch` module with CUDA support by using the following code:

import torch

device = torch.device("cuda" if torch.cuda.is_available() else "cpu")

This code will check if CUDA is available and set the device accordingly. You can then use the `to()` function to move your tensors to the CUDA device:

x = torch.tensor([1, 2, 3])
x = x.to(device)

This will move the tensor `x` to the CUDA device if it is available, or to the CPU if it is not.