a7b27761c6f02686135d9af83a300f23cb8d71ab,open_seq2seq/models/speech2text.py,Speech2Text,evaluate,#Speech2Text#Any#Any#,169

Before Change

      len_y = input_values["target_tensors"][1][sample_id]
      true_text = "".join(map(self.get_data_layer().params["idx2char"].get,
                              y[:len_y]))
      if self.get_data_layer().params["autoregressive"]:
        true_text = true_text[:-4]
      pred_text = "".join(decoded_texts[sample_id])

After Change

      // len_y is the fourth returned input value
      y = input_values["target_tensors"][0][sample_id]
      len_y = input_values["target_tensors"][1][sample_id]
      if self.is_bpe:
        true_text = self.get_data_layer().sp.DecodeIds(y[:len_y].tolist())
        pred_text = self.get_data_layer().sp.DecodeIds(decoded_texts[sample_id])
      else:
        true_text = "".join(map(self.get_data_layer().params["idx2char"].get,
                              y[:len_y]))
        pred_text = "".join(decoded_texts[sample_id])
      if self.get_data_layer().params.get("autoregressive", False):
        true_text = true_text[:-4]

      // print("TRUE_TEXT: "{}"".format(true_text))

Instances