NotImplementedError: #72
Comments
|
This seems to be occurring when we try to train too. Here is the traceback.
|
|
Thank you for the report, but please do not ping random people. This is probably due to pytorch upgraded to v0.4 from 0.3. I will look into it this weekend. |
|
Fixed the colab notebook. |
|
hi |
Hi,
@r9y9
@LucianZala
@taras-sereda
@Kyubyong
while running this code in Google Co-lab I'm getting Not Implemented Error
text = "Some have accepted this as a miracle without any physical explanation"
N = 15
print("Synthesizing "{}" with {} different speakers".format(text, N))
for speaker_id in range(N):
print(speaker_id)
tts(model, text, speaker_id=speaker_id, figures=False)
Synthesizing "Some have accepted this as a miracle without any physical explanation" with 15 different speakers
0
NotImplementedError Traceback (most recent call last)
in ()
4 for speaker_id in range(N):
5 print(speaker_id)
----> 6 tts(model, text, speaker_id=speaker_id, figures=False)
in tts(model, text, p, speaker_id, fast, figures)
1 def tts(model, text, p=0, speaker_id=0, fast=True, figures=True):
2 from synthesis import tts as _tts
----> 3 waveform, alignment, spectrogram, mel = _tts(model, text, p, speaker_id, fast)
4 if figures:
5 visualize(alignment, spectrogram)
/content/deepvoice3_pytorch/synthesis.py in tts(model, text, p, speaker_id, fast)
64 # Greedy decoding
65 mel_outputs, linear_outputs, alignments, done = model(
---> 66 sequence, text_positions=text_positions, speaker_ids=speaker_ids)
67
68 linear_output = linear_outputs[0].cpu().data.numpy()
/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py in call(self, *input, **kwargs)
489 result = self._slow_forward(*input, **kwargs)
490 else:
--> 491 result = self.forward(*input, **kwargs)
492 for hook in self._forward_hooks.values():
493 hook_result = hook(self, input, result)
/content/deepvoice3_pytorch/deepvoice3_pytorch/init.py in forward(self, text_sequences, mel_targets, speaker_ids, text_positions, frame_positions, input_lengths)
77 mel_outputs, alignments, done, decoder_states = self.seq2seq(
78 text_sequences, mel_targets, speaker_embed,
---> 79 text_positions, frame_positions, input_lengths)
80
81 # Reshape
/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py in call(self, *input, **kwargs)
489 result = self._slow_forward(*input, **kwargs)
490 else:
--> 491 result = self.forward(*input, **kwargs)
492 for hook in self._forward_hooks.values():
493 hook_result = hook(self, input, result)
/content/deepvoice3_pytorch/deepvoice3_pytorch/init.py in forward(self, text_sequences, mel_targets, speaker_embed, text_positions, frame_positions, input_lengths)
122 encoder_outputs, mel_targets,
123 text_positions=text_positions, frame_positions=frame_positions,
--> 124 speaker_embed=speaker_embed, lengths=input_lengths)
125
126 return mel_outputs, alignments, done, decoder_states
/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py in call(self, *input, **kwargs)
489 result = self._slow_forward(*input, **kwargs)
490 else:
--> 491 result = self.forward(*input, **kwargs)
492 for hook in self._forward_hooks.values():
493 hook_result = hook(self, input, result)
/content/deepvoice3_pytorch/deepvoice3_pytorch/deepvoice3.py in forward(self, encoder_out, inputs, text_positions, frame_positions, speaker_embed, lengths)
282 assert text_positions is not None
283 self.start_fresh_sequence()
--> 284 outputs = self.incremental_forward(encoder_out, text_positions, speaker_embed)
285 return outputs
286
/content/deepvoice3_pytorch/deepvoice3_pytorch/deepvoice3.py in incremental_forward(self, encoder_out, text_positions, speaker_embed, initial_input, test_inputs)
376 if self.speaker_proj1 is not None:
377 w = w * F.sigmoid(self.speaker_proj1(speaker_embed)).view(-1)
--> 378 text_pos_embed = self.embed_keys_positions(text_positions, w)
379 keys = keys + text_pos_embed
380
/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py in call(self, *input, **kwargs)
489 result = self._slow_forward(*input, **kwargs)
490 else:
--> 491 result = self.forward(*input, **kwargs)
492 for hook in self._forward_hooks.values():
493 hook_result = hook(self, input, result)
/content/deepvoice3_pytorch/deepvoice3_pytorch/modules.py in forward(self, x, w)
49 if isscaler or w.size(0) == 1:
50 weight = sinusoidal_encode(self.weight, w)
---> 51 return self._backend.Embedding.apply(
52 x, weight,
53 padding_idx, self.max_norm, self.norm_type,
/usr/local/lib/python3.6/dist-packages/torch/nn/backends/backend.py in getattr(self, name)
8 fn = self.function_classes.get(name)
9 if fn is None:
---> 10 raise NotImplementedError
11 return fn
12
NotImplementedError:
The text was updated successfully, but these errors were encountered: