How can I extract prompt_feat, prompt_token and embedding in token2wav if I want to change the voice of model?

[DreamFragrance]

def token2wav(self, token, uuid, prompt_token=torch.zeros(1, 0, dtype=torch.int32),
prompt_feat=torch.zeros(1, 0, 80), embedding=torch.zeros(1, 192), finalize=False):
tts_mel = self.flow.inference(token=token.to(self.device),
token_len=torch.tensor([token.shape[1]], dtype=torch.int32).to(self.device),
prompt_token=prompt_token.to(self.device),
prompt_token_len=torch.tensor([prompt_token.shape[1]], dtype=torch.int32).to(
self.device),
prompt_feat=prompt_feat.to(self.device),
prompt_feat_len=torch.tensor([prompt_feat.shape[1]], dtype=torch.int32).to(
self.device),
embedding=embedding.to(self.device))

[hm-li0420]

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