Pytorch, Optimization, Deep Learning, Artificial Intelligence, Tensorboard.
module.register_full_backward_hook(bwd_hook_print) return module Using the backward_hook_wrapper function, we can begin the work of locating the source of our performance issue. We start by wrapping just the model and loss-function as in the code block below: model = backward_hook_wrapper(model)