Pytorch, Optimization, Deep Learning, Artificial Intelligence, Tensorboard.
output): message = f'after backward of {module.__class__.__qualname__}' if details: message = f'{message}: {details}' with torch.profiler.record_function(message): return input # register hooks module.register_full_backward_pre_hook(bwd_pre_hook_print)