update

examples/spectrum_unet_irm_aishell/step_2_train_model.py

@@ -298,8 +298,8 @@ def main():
             snr_loss = snr_mse_loss.forward(lsnr_prediction, snr_db_target)
             if torch.any(torch.isnan(snr_loss)):
                 raise AssertionError("nan in snr_loss")
-            # loss = irm_loss + 0*snr_loss
-            loss = irm_loss
+            loss = irm_loss + 0 * snr_loss
+            # loss = irm_loss
 
             total_loss += loss.item()
             total_examples += mix_spec.size(0)