adapted pcm to 8k

雾聪

2023-12-13 de87e1d180d214e1f49682d2b5fb7c9d2c89ae7e

 funasr/models/e2e_asr_contextual_paraformer.py

@@ -234,7 +234,6 @@
        # force_gatherable: to-device and to-tensor if scalar for DataParallel
        if self.length_normalized_loss:
            batch_size = int((text_lengths + self.predictor_bias).sum())

        loss, stats, weight = force_gatherable((loss, stats, batch_size), loss.device)
        return loss, stats, weight