Traceback (most recent call last):


 "synthesis.py", line 125, in <module>

model.load_state_dict(checkpoint["state_dict"])


 "/root/anaconda2/envs/deep_torch/lib/python3.5/site-packages/torch/nn/modules/module.py", line 721, in load_state_dict

self.__class__.__name__, "\n\t".join(error_msgs)))
RuntimeError: Error(s) in loading state_dict for MultiSpeakerTTSModel:

Traceback (most recent call last):


 "test.py", line 60, in <module>

model.test()
# run inference


 "C:\Users\migita\pytorch-CycleGAN-and-pix2pix\models\base_model.py", line 105, in test

self.forward()


 "C:\Users\migita\pytorch-CycleGAN-and-pix2pix\models\pix2pix_model.py", line 88, in forward

self.fake_B = self.netG(self.real_A)
# G(A)


 "C:\Users\migita\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\nn\modules\module.py", line 547, in __call__

result = self.forward(*input, **kwargs)


 "C:\Users\migita\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\nn\parallel\data_parallel.py", line 150, in forward

return self.module(*inputs[0], **kwargs[0])


 "C:\Users\migita\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\nn\modules\module.py", line 547, in __call__

result = self.forward(*input, **kwargs)


 "C:\Users\migita\pytorch-CycleGAN-and-pix2pix\models\networks.py", line 465, in forward

return self.model(input)


 "C:\Users\migita\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\nn\modules\module.py", line 547, in __call__

result = self.forward(*input, **kwargs)


 "C:\Users\migita\pytorch-CycleGAN-and-pix2pix\models\networks.py", line 533, in forward

return self.model(x)


 "C:\Users\migita\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\nn\modules\module.py", line 547, in __call__

result = self.forward(*input, **kwargs)


 "C:\Users\migita\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\nn\modules\container.py", line 92, in forward

input = module(input)


 "C:\Users\migita\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\nn\modules\module.py", line 547, in __call__

result = self.forward(*input, **kwargs)


 "C:\Users\migita\pytorch-CycleGAN-and-pix2pix\models\networks.py", line 535, in forward

return torch.cat([x, self.model(x)], 1)


 "C:\Users\migita\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\nn\modules\module.py", line 547, in __call__

result = self.forward(*input, **kwargs)


 "C:\Users\migita\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\nn\modules\container.py", line 92, in forward

input = module(input)


 "C:\Users\migita\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\nn\modules\module.py", line 547, in __call__

result = self.forward(*input, **kwargs)


 "C:\Users\migita\pytorch-CycleGAN-and-pix2pix\models\networks.py", line 535, in forward

return torch.cat([x, self.model(x)], 1)


 "C:\Users\migita\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\nn\modules\module.py", line 547, in __call__

result = self.forward(*input, **kwargs)


 "C:\Users\migita\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\nn\modules\container.py", line 92, in forward

input = module(input)


 "C:\Users\migita\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\nn\modules\module.py", line 547, in __call__

result = self.forward(*input, **kwargs)


 "C:\Users\migita\pytorch-CycleGAN-and-pix2pix\models\networks.py", line 535, in forward

return torch.cat([x, self.model(x)], 1)


 "C:\Users\migita\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\nn\modules\module.py", line 547, in __call__

result = self.forward(*input, **kwargs)


 "C:\Users\migita\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\nn\modules\container.py", line 92, in forward

input = module(input)


 "C:\Users\migita\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\nn\modules\module.py", line 547, in __call__

result = self.forward(*input, **kwargs)


 "C:\Users\migita\pytorch-CycleGAN-and-pix2pix\models\networks.py", line 535, in forward

return torch.cat([x, self.model(x)], 1)


 "C:\Users\migita\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\nn\modules\module.py", line 547, in __call__

result = self.forward(*input, **kwargs)


 "C:\Users\migita\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\nn\modules\container.py", line 92, in forward

input = module(input)


 "C:\Users\migita\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\nn\modules\module.py", line 547, in __call__

result = self.forward(*input, **kwargs)


 "C:\Users\migita\pytorch-CycleGAN-and-pix2pix\models\networks.py", line 535, in forward

return torch.cat([x, self.model(x)], 1)


 "C:\Users\migita\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\nn\modules\module.py", line 547, in __call__

result = self.forward(*input, **kwargs)


 "C:\Users\migita\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\nn\modules\container.py", line 92, in forward

input = module(input)


 "C:\Users\migita\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\nn\modules\module.py", line 547, in __call__

result = self.forward(*input, **kwargs)


 "C:\Users\migita\pytorch-CycleGAN-and-pix2pix\models\networks.py", line 535, in forward

return torch.cat([x, self.model(x)], 1)
RuntimeError: invalid argument 0: Sizes of tensors must match except in dimension 1. Got 14 and 15 in dimension 3 at C:/w/1/s/windows/pytorch/aten/src\THC/generic/THCTensorMath.cu:71
