PyTorch出现如下报错：RuntimeError: one of the variables needed for gradient computation has been modified b

报错内容如下：

RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [3, 3, 1, 1]] is at version 2; expected version 1 instead. Hint: enable anomaly detection to find the operation that fail

查询网上内容是，说吧inplace设置为False，仍然解决不了，直接去问ChatGPT，给出的解释是：

于是在代码中添加了这句代码： 

    torch.autograd.set_detect_anomaly(True)

于是给出了具体错误的地方：

D:\ANACONDA\envs\matpy\lib\site-packages\torch\autograd\__init__.py:197: UserWarning: Error detected in ConvolutionBackward0. Traceback of forward call that caused the error:
  File "D:/打工人专属/STUDY/python/sonic/SignalTest/Uetpp_4output/train_avg_fenbieTiaocan_OldRes.py", line 292, in <module>
    outputs = SncNet(Sonics)
  File "D:\ANACONDA\envs\matpy\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "D:\打工人专属\STUDY\python\sonic\SignalTest\Uetpp_4output\Unetpp_4output_OldRes.py", line 177, in forward
    f4 = self.final_3(x0_2)
  File "D:\ANACONDA\envs\matpy\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "D:\ANACONDA\envs\matpy\lib\site-packages\torch\nn\modules\container.py", line 204, in forward
    input = module(input)
  File "D:\ANACONDA\envs\matpy\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "D:\ANACONDA\envs\matpy\lib\site-packages\torch\nn\modules\conv.py", line 463, in forward
    return self._conv_forward(input, self.weight, self.bias)
  File "D:\ANACONDA\envs\matpy\lib\site-packages\torch\nn\modules\conv.py", line 459, in _conv_forward
    return F.conv2d(input, weight, bias, self.stride,
  File "D:\ANACONDA\envs\matpy\lib\site-packages\torch\fx\traceback.py", line 57, in format_stack
    return traceback.format_stack()
 (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\builder\windows\pytorch\torch\csrc\autograd\python_anomaly_mode.cpp:119.)
  Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
Traceback (most recent call last):
  File "D:/打工人专属/STUDY/python/sonic/SignalTest/Uetpp_4output/train_avg_fenbieTiaocan_OldRes.py", line 298, in <module>
    singleLoss.backward()  # 反向传播
  File "D:\ANACONDA\envs\matpy\lib\site-packages\torch\_tensor.py", line 488, in backward
    torch.autograd.backward(
  File "D:\ANACONDA\envs\matpy\lib\site-packages\torch\autograd\__init__.py", line 197, in backward
    Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [3, 3, 1, 1]] is at version 2; expected version 1 instead. Hint: the backtrace further above shows the operation that failed to compute its gradient. The variable in question was changed in there or anywhere later. Good luck!

进程已结束,退出代码1

出错原因很简单，就是我重复引用了一个卷积层，简单修改后，运行通过！