pytorch报错 ConvTranspose1d object has no attribute padding_mode

‘ConvTranspose1d’ object has no attribute 'padding_mode’错误：https://github.com/NVIDIA/tacotron2/issues/182

解决方法：
Using torch 1.1.0.dev20190512 and waveglow_256channels.pt I was still getting this error. Following @apsears I managed to get it working. Here are the locations and changes required

即将一下 conv.py文件中的190行修改：
envs/nlp/lib/python3.6/site-packages/torch/nn/modules/conv.py line 190

 @weak_script_method  def forward(self, input):         if False: # self.padding_mode == 'circular'             expanded_padding = ((self.padding[0] + 1) // 2, self.padding[0] // 2)             return F.conv1d(F.pad(input, expanded_padding, mode='circular'),                             self.weight, self.bias, self.stride,                             _single(0), self.dilation, self.groups)         return F.conv1d(input, self.weight, self.bias, self.stride,                         self.padding, self.dilation, self.groups) 

及641行

    @weak_script_method     def forward(self, input, output_size=None):         # type: (Tensor, Optional[List[int]]) -> Tensor         #if self.padding_mode != 'zeros':         #    raise ValueError('Only `zeros` padding mode is supported for ConvTranspose1d')          output_padding = self._output_padding(input, output_size, self.stride, self.padding, self.kernel_size)         return F.conv_transpose1d(             input, self.weight, self.bias, self.stride, self.padding,             output_padding, self.groups, self.dilation)