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https://github.com/FunAudioLLM/CosyVoice.git
synced 2026-02-05 18:09:24 +08:00
fix lint
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@@ -330,13 +330,13 @@ class CosyVoice2Model:
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def token2wav(self, token, prompt_token, prompt_feat, embedding, uuid, token_offset, finalize=False, speed=1.0):
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tts_mel, _ = self.flow.inference(token=token.to(self.device),
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token_len=torch.tensor([token.shape[1]], dtype=torch.int32).to(self.device),
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prompt_token=prompt_token.to(self.device),
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prompt_token_len=torch.tensor([prompt_token.shape[1]], dtype=torch.int32).to(self.device),
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prompt_feat=prompt_feat.to(self.device),
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prompt_feat_len=torch.tensor([prompt_feat.shape[1]], dtype=torch.int32).to(self.device),
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embedding=embedding.to(self.device),
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finalize=finalize)
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token_len=torch.tensor([token.shape[1]], dtype=torch.int32).to(self.device),
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prompt_token=prompt_token.to(self.device),
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prompt_token_len=torch.tensor([prompt_token.shape[1]], dtype=torch.int32).to(self.device),
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prompt_feat=prompt_feat.to(self.device),
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prompt_feat_len=torch.tensor([prompt_feat.shape[1]], dtype=torch.int32).to(self.device),
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embedding=embedding.to(self.device),
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finalize=finalize)
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tts_mel = tts_mel[:, :, token_offset * self.flow.token_mel_ratio:]
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# append hift cache
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if self.hift_cache_dict[uuid] is not None:
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@@ -418,4 +418,4 @@ class CosyVoice2Model:
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yield {'tts_speech': this_tts_speech.cpu()}
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with self.lock:
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self.tts_speech_token_dict.pop(this_uuid)
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self.llm_end_dict.pop(this_uuid)
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self.llm_end_dict.pop(this_uuid)
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