update

examples/conv_tasnet_gan/step_2_train_model.py

@@ -342,7 +342,7 @@ def main():
             pesq_score_list: List[float] = run_batch_pesq(clean_audio_list, enhanced_audio_list, sample_rate=config.sample_rate, mode="nb")
 
             metric_r = discriminator.forward(clean_audios, clean_audios)
-            metric_g = discriminator.forward(clean_audios, denoise_audios.detach())
+            metric_g = discriminator.forward(denoise_audios.detach(), clean_audios)
             loss_disc_r = F.mse_loss(one_labels, metric_r.flatten())
 
             if -1 in pesq_score_list: