torch.Tensor.detach
Tensor.detach()
Returns a new Tensor, detached from the current graph.
The result will never require gradient.
This method also affects forward mode AD gradients and the result
   will never have forward mode AD gradients.
Note:
 Returned Tensor shares the same storage with the original one.
 In-place modifications on either of them will be seen, and may
 trigger errors in correctness checks. IMPORTANT NOTE: Previously,
 in-place size / stride / storage changes (such as *resize_* /
 *resize_as_* / *set_* / *transpose_*) to the returned tensor also
 update the original tensor. Now, these in-place changes will not
 update the original tensor anymore, and will instead trigger an
 error. For sparse tensors: In-place indices / values changes
 (such as *zero_* / *copy_* / *add_*) to the returned tensor will
 not update the original tensor anymore, and will instead trigger
 an error.
