update

examples/clean_unet_aishell/step_2_train_model.py

@@ -238,6 +238,7 @@ def main():
             enhanced_audios_list_r = list(enhanced_audios.detach().cpu().numpy())
             clean_audios_list_r = list(clean_audios.detach().cpu().numpy())
             pesq_metric = batch_pesq(enhanced_audios_list_r, clean_audios_list_r)
+            print(f"pesq_metric: {pesq_metric}")
 
             optimizer.zero_grad()
             loss.backward()