check prompt path1

cosyvoice_rodis/llm/llm.py

@@ -239,6 +239,8 @@ class TransformerLM(torch.nn.Module):
         # 3. handle emotion embedding
         if self.emotion_embedding and emotion_embedding is not None:
             emotion_embedding = F.normalize(emotion_embedding.unsqueeze(0).to(torch.float32), dim=1) 
+            if emotion_embedding.dtype != self.spk_embed_affine_layer.weight.dtype:
+                emotion_embedding = emotion_embedding.to(self.spk_embed_affine_layer.weight.dtype)
             emotion_embedding = self.spk_embed_affine_layer(emotion_embedding)
             emotion_embedding = emotion_embedding.unsqueeze(dim=1) #  * 1.5
             embedding += emotion_embedding