Performance, Pytorch, Deep Learning, Artificial Intelligence, Tensorboard.
the list of labels with torch.profiler.record_function('sort'): sorted,_ = torch.sort(target.flatten()) # indentify the steps of the resultant step function with torch.profiler.record_function('deriv'): deriv = sorted[1:]-sorted[:-1] # count the number of steps with