fix input to vocos

Mel spectrogram output from matcha is already a numpy ndarray rather than a torch tensor

infer_onnx.py

@@ -37,7 +37,7 @@ model_matcha_mel= onnxruntime.InferenceSession(str(MODEL_PATH_MATCHA_MEL), sess_
 model_vocos = onnxruntime.InferenceSession(str(MODEL_PATH_VOCOS), sess_options=sess_options, providers=["CPUExecutionProvider"])
 model_matcha = onnxruntime.InferenceSession(str(MODEL_PATH_MATCHA), sess_options=sess_options, providers=["CPUExecutionProvider"])
 
-def vocos_inference(mel: torch.Tensor):
+def vocos_inference(mel):
 
     with open(CONFIG_PATH, "r") as f:
         config = yaml.safe_load(f)
@@ -52,7 +52,7 @@ def vocos_inference(mel: torch.Tensor):
     mag, x, y = model_vocos.run(
         None,
         {
-            "mels": mel.float().numpy()
+            "mels": mel
         },
     )