code: def accuracy(self, label, pred):
          
          hit = 0.
          total = 0.
          batch_size = label.shape[0]
          for i in range(batch_size):
              l = self._remove_blank(label[i])
              p = []
              for k in range(self.seq_len):
                  p.append(np.argmax(pred[k * batch_size + i]))
              p = self.ctc_label(p)
              if len(p) == len(l):
                  match = True
                  for k, _ in enumerate(p):
                      if p[k] != int(l[k]):
                          match = False
                          break
                  if match:
                      hit += 1.0
              total += 1.0
          assert total == batch_size
          return hit / total
docs: Simple accuracy measure: number of 100% accurate predictions divided by total number