'ConvTranspose1d' object has no attribute 'padding_mode'

[Sandip Ravindra Jedhe]

I cloned latest repo, while trying inference.ipynb I got following error.

---

AttributeError Traceback (most recent call last)
in
1 with torch.no_grad():
----> 2 audio = waveglow.infer(mel_outputs_postnet, sigma=0.666)
3 ipd.Audio(audio[0].data.cpu().numpy(), rate=hparams.sampling_rate)

~/fabelizer/tacotron2/waveglow/glow_old.py in infer(self, spect, sigma)
171
172 def infer(self, spect, sigma=1.0):
--> 173 spect = self.upsample(spect)
174 # trim conv artifacts. maybe pad spec to kernel multiple
175 time_cutoff = self.upsample.kernel_size[0] - self.upsample.stride[0]

~/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py in call(self, *input, **kwargs)
492 result = self._slow_forward(*input, **kwargs)
493 else:
--> 494 result = self.forward(*input, **kwargs)
495 for hook in self._forward_hooks.values():
496 hook_result = hook(self, input, result)

~/anaconda3/lib/python3.7/site-packages/torch/nn/modules/conv.py in forward(self, input, output_size)
640 def forward(self, input, output_size=None):
641 # type: (Tensor, Optional[List[int]]) -> Tensor
--> 642 if self.padding_mode != 'zeros':
643 raise ValueError('Only zeros padding mode is supported for ConvTranspose1d')
644

~/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py in getattr(self, name)
538 return modules[name]
539 raise AttributeError("'{}' object has no attribute '{}'".format(
--> 540 type(self).name, name))
541
542 def setattr(self, name, value):

AttributeError: 'ConvTranspose1d' object has no attribute 'padding_mode'

[Adam Sears]

This must be a pytorch bug. I am currently using torch 1.1.0.dev20190411

It appears that Conv1d inherits from _ConvNd, and that _ConvNd is the source of the padding_mode property. But I don't know why the inherited value doesn't show up.

I commented out two sanity checks (looking for non 'zeroes') in ~/.local/lib/python3.6/site-packages/torch/nn/modules/conv.py

Then I forced the branch which concluded that the other checks for circular must be False on two others.

At that point, the code ran.

[Edit] Inference is all nan for the waveglow_old.pt file provided in this repo, but the waveglow_256channels.pt linked in the waveglow repo works!

[Rafael Valle]

Closing due to inactivity.

[William Luke]

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

site-packages/torch/nn/modules/conv.py line 190

 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)

site-packages/torch/nn/modules/conv.py line 641

    @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)

[Vitaly Zdanevich]

@rafaelvalle please reopen this issue, problem still exists, checked on Ubuntu 19.04 installing current versions of the packages from the pip.

[Rafael Valle]

iirc, this happens because the after some version pytorch adds 'padding_mode' to the attributes of Conv2d.

It can be fixed by getting the saved weights and setting them on a clean model:

model_state_dict = torch.load(model_path)['model'].state_dict()
model = WaveGlow(**waveglow_config)
model.load_state_dict(model_state_dict)
model.cuda()

[Rafael Valle]

This probably also works:

for m in model.modules():
    if 'Conv' in str(type(m)):
        setattr(m, 'padding_mode', 'zeros')

[Jama Hussein Mohamud]

This probably also works:

for m in model.modules():
    if 'Conv' in str(type(m)):
        setattr(m, 'padding_mode', 'zeros')

Where to put this text of code.

[Jama Hussein Mohamud]

following @apsears and running this script from the terminal under tacotron2 folder helped me solve my problem.

cd waveglow/
git pull origin master

[ABexit]

This probably also works:
for m in model.modules():
if 'Conv' in str(type(m)):
setattr(m, 'padding_mode', 'zeros')

Where to put this text of code.

Which can be added under:

        for k in waveglow.convinv:
                   k.float()

It will work well.