Pytorch, Optimization, Deep Learning, Artificial Intelligence, Tensorboard.
backward_pre_hook is programmed to print a “before” message and the backward_hook an “after” message. An optional details string is appended to distinguish between multiple instances of the same module type. def backward_hook_wrapper(module, details=None): # define register_full_backward_pre_hook