pytorch has_torch_function details

`torch.has_torch_function` is a utility function in PyTorch that helps to determine whether a given Python object has a PyTorch function associated with it. This function is used in PyTorch's dispatch system to determine whether a given operation should be dispatched to a PyTorch function or not.

The function takes a single argument, which is the Python object to check for a PyTorch function. If the object has a PyTorch function associated with it, the function returns `True`. Otherwise, it returns `False`.

Here is an example of how to use `torch.has_torch_function`:

import torch

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

print(torch.has_torch_function(x))  # Output: True
print(torch.has_torch_function(y))  # Output: False

In this example, the function returns `True` for the PyTorch tensor `x`, but `False` for the Python list `y`. This is because PyTorch has functions associated with tensors, but not with lists.