module 'torch' has no attribute detach()

`detach()` is not an attribute of the `torch` module itself, but rather a method that can be called on a tensor. Here is an example of how to use `detach()` on a tensor:

import torch

# create a tensor
x = torch.tensor([1, 2, 3], requires_grad=True)

# perform some operations on the tensor
y = x * 2 + 1

# detach the tensor from the computation graph
z = y.detach()

# print the results
print(x)  # tensor([1, 2, 3], requires_grad=True)
print(y)  # tensor([3, 5, 7], grad_fn=<AddBackward0>)
print(z)  # tensor([3, 5, 7])

In this example, `detach()` is used to create a new tensor `z` that is not part of the computation graph, meaning that any operations performed on `z` will not affect the gradient computation of `y` or any tensors that depend on `y`.