torch_npu.profiler.schedule (wait, active, warmup = 0, repeat = 0, skip_first = 0)
设置不同step的行为。用于构造torch_npu.profiler.profile的schedule参数。
with torch_npu.profiler.profile( schedule=torch_npu.profiler.schedule(wait=0, warmup=0, active=1, repeat=1, skip_first=1), on_trace_ready=torch_npu.profiler.tensorboard_trace_handler("./result"), with_stack=True) as prof: for step in range(steps): train_one_step(step, steps, train_loader, model, optimizer, criterion) prof.step()