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UserWarning: postnet.convolutions.13.bias: may contain invalid size of weight. skipping...
warn("{}: may contain invalid size of weight. skipping...".format(k))
Error(s) in loading state_dict for MultiSpeakerTTSModel:
size mismatch for seq2seq.encoder.embed_tokens.weight: copying a param with shape torch.Size([149, 128]) from checkpoint, the shape in current model is torch.Size([149, 256]).
I have given the latest pre-trained model on LJ and testing speaker adaption using preprocessed files of VCTK
The text was updated successfully, but these errors were encountered:
UserWarning: postnet.convolutions.13.bias: may contain invalid size of weight. skipping...
warn("{}: may contain invalid size of weight. skipping...".format(k))
Error(s) in loading state_dict for MultiSpeakerTTSModel:
size mismatch for seq2seq.encoder.embed_tokens.weight: copying a param with shape torch.Size([149, 128]) from checkpoint, the shape in current model is torch.Size([149, 256]).
I have given the latest pre-trained model on LJ and testing speaker adaption using preprocessed files of VCTK
The text was updated successfully, but these errors were encountered: