解决Pytorch 训练与测试时爆显存(out of memory)的问题

try:  output = model(input)except RuntimeError as exception:  if "out of memory" in str(exception):    print("WARNING: out of memory")    if hasattr(torch.cuda, 'empty_cache'):      torch.cuda.empty_cache()  else:    raise exception

  with torch.no_grad():    for ii,(inputs,filelist) in tqdm(enumerate(test_loader), desc='predict'):      if opt.use_gpu:        inputs = inputs.cuda()        if len(inputs.shape) < 4:          inputs = inputs.unsqueeze(1)       else:        if len(inputs.shape) < 4:          inputs = torch.transpose(inputs, 1, 2)          inputs = inputs.unsqueeze(1)