增加健壮性,防止在cpu推理时设置半精度报错
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@@ -228,7 +228,7 @@ class TTS:
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self.cnhuhbert_model = CNHubert(base_path)
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self.cnhuhbert_model=self.cnhuhbert_model.eval()
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self.cnhuhbert_model = self.cnhuhbert_model.to(self.configs.device)
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if self.configs.is_half:
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if self.configs.is_half and str(self.configs.device)!="cpu":
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self.cnhuhbert_model = self.cnhuhbert_model.half()
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@@ -239,7 +239,7 @@ class TTS:
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self.bert_model = AutoModelForMaskedLM.from_pretrained(base_path)
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self.bert_model=self.bert_model.eval()
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self.bert_model = self.bert_model.to(self.configs.device)
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if self.configs.is_half:
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if self.configs.is_half and str(self.configs.device)!="cpu":
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self.bert_model = self.bert_model.half()
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@@ -272,7 +272,7 @@ class TTS:
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vits_model = vits_model.eval()
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vits_model.load_state_dict(dict_s2["weight"], strict=False)
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self.vits_model = vits_model
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if self.configs.is_half:
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if self.configs.is_half and str(self.configs.device)!="cpu":
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self.vits_model = self.vits_model.half()
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@@ -290,7 +290,7 @@ class TTS:
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t2s_model = t2s_model.to(self.configs.device)
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t2s_model = t2s_model.eval()
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self.t2s_model = t2s_model
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if self.configs.is_half:
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if self.configs.is_half and str(self.configs.device)!="cpu":
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self.t2s_model = self.t2s_model.half()
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def enable_half_precision(self, enable: bool = True):
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@@ -300,7 +300,7 @@ class TTS:
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enable: bool, whether to enable half precision.
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'''
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if self.configs.device == "cpu" and enable:
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if str(self.configs.device) == "cpu" and enable:
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print("Half precision is not supported on CPU.")
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return
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