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Error received when trying to load pretrained waveglow model. vocoder = WaveGlowModel.from_pretrained(model_name="tts_waveglow_268m")
Error received:
`~/.virtualenvs/nemo/lib/python3.8/site-packages/nemo/collections/tts/models/waveglow.py in load_state_dict(self, state_dict, strict)
257 # Ideally, we should remove this during saving instead of ignoring during loading
258 for i in range(self._cfg.waveglow.n_flows):
--> 259 del state_dict[f"waveglow.convinv.{i}.inv_conv.weight"]
260 super().load_state_dict(state_dict, strict=strict)
KeyError: 'waveglow.convinv.0.inv_conv.weight'`
The text was updated successfully, but these errors were encountered:
Error received when trying to load pretrained waveglow model.
vocoder = WaveGlowModel.from_pretrained(model_name="tts_waveglow_268m")
Error received:
`~/.virtualenvs/nemo/lib/python3.8/site-packages/nemo/collections/tts/models/waveglow.py in load_state_dict(self, state_dict, strict)
257 # Ideally, we should remove this during saving instead of ignoring during loading
258 for i in range(self._cfg.waveglow.n_flows):
--> 259 del state_dict[f"waveglow.convinv.{i}.inv_conv.weight"]
260 super().load_state_dict(state_dict, strict=strict)
KeyError: 'waveglow.convinv.0.inv_conv.weight'`
The text was updated successfully, but these errors were encountered: