fix tensor type

mdxnet_model.py

@@ -225,9 +225,7 @@ class MDX:
             waves = np.array(wave_p[:, i:i + self.model.chunk_size])
             mix_waves.append(waves)
 
-        mix_waves = torch.tensor(mix_waves, dtype=torch.float32).to(
-            self.device
-        )
+        mix_waves = torch.tensor(np.array(mix_waves), dtype=torch.float32).to(self.device)
 
         return mix_waves, pad, trim
 

uvr_processing.py

@@ -43,6 +43,7 @@ def run_mdx(model_params: Dict,
         device = torch.device("cpu")
         processor_num = -1
         m_threads = 1
+    print(f"device: {device}")
 
     model_hash = MDX.get_hash(model_path)  # type: str
     mp = model_params.get(model_hash)
@@ -90,6 +91,7 @@ def run_mdx_cpu(model_params: Dict,
                 denoise: bool = False,
                 m_threads: int = 2,
                 device_base: str = ""):
+    print("run_mdx_cpu")
     m_threads = 1
     duration = librosa.get_duration(filename=input_filename)
     if duration >= 60 and duration <= 120: