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Getting following error on windows 10 jupyter notebook using englishtts.py any help on how to get this running ?
Traceback (most recent call last):
File "englishtts.py", line 107, in
_, Y_t, A = text2mel(L, Y, monotonic_attention=True)
File "C:\Program Files\Python37\lib\site-packages\torch\nn\modules\module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "C:\Users\prilc\Desktop\speech\models\text2mel.py", line 165, in forward
K, V = self.text_enc(L)
File "C:\Program Files\Python37\lib\site-packages\torch\nn\modules\module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "C:\Users\prilc\Desktop\speech\models\text2mel.py", line 78, in forward
out = self.embedding(x)
File "C:\Program Files\Python37\lib\site-packages\torch\nn\modules\module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "C:\Users\prilc\Desktop\speech\models\layers.py", line 98, in forward
return self.embedding(x)
File "C:\Program Files\Python37\lib\site-packages\torch\nn\modules\module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "C:\Program Files\Python37\lib\site-packages\torch\nn\modules\sparse.py", line 126, in forward
self.norm_type, self.scale_grad_by_freq, self.sparse)
File "C:\Program Files\Python37\lib\site-packages\torch\nn\functional.py", line 1852, in embedding
return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
RuntimeError: Expected tensor for argument #1 'indices' to have scalar type Long; but got torch.IntTensor instead (while checking arguments for embedding)
The text was updated successfully, but these errors were encountered:
Getting following error on windows 10 jupyter notebook using englishtts.py any help on how to get this running ?
Traceback (most recent call last):
File "englishtts.py", line 107, in
_, Y_t, A = text2mel(L, Y, monotonic_attention=True)
File "C:\Program Files\Python37\lib\site-packages\torch\nn\modules\module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "C:\Users\prilc\Desktop\speech\models\text2mel.py", line 165, in forward
K, V = self.text_enc(L)
File "C:\Program Files\Python37\lib\site-packages\torch\nn\modules\module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "C:\Users\prilc\Desktop\speech\models\text2mel.py", line 78, in forward
out = self.embedding(x)
File "C:\Program Files\Python37\lib\site-packages\torch\nn\modules\module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "C:\Users\prilc\Desktop\speech\models\layers.py", line 98, in forward
return self.embedding(x)
File "C:\Program Files\Python37\lib\site-packages\torch\nn\modules\module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "C:\Program Files\Python37\lib\site-packages\torch\nn\modules\sparse.py", line 126, in forward
self.norm_type, self.scale_grad_by_freq, self.sparse)
File "C:\Program Files\Python37\lib\site-packages\torch\nn\functional.py", line 1852, in embedding
return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
RuntimeError: Expected tensor for argument #1 'indices' to have scalar type Long; but got torch.IntTensor instead (while checking arguments for embedding)
The text was updated successfully, but these errors were encountered: