Pytorch, Optimization, Deep Learning, Artificial Intelligence, Tensorboard.
on_trace_ready=torch.profiler.tensorboard_trace_handler('/tmp/perf') ) as prof: for step, data in enumerate(train_loader): inputs = data[0].to(device=device, non_blocking=True) label = data[1].squeeze(-1).to(device=device, non_blocking=True) with torch.profiler.record_function('forward'): outputs =