funasr/export/export_model.py
@@ -75,7 +75,6 @@ if self.audio_in is not None: feats, feats_len = self.load_feats(self.audio_in) for i, (feat, len) in enumerate(zip(feats, feats_len)): print("debug, iter: {}".format(i)) with torch.no_grad(): m(feat, len) else:
