def accuracy(self, label, pred):
        """ Simple accuracy measure: number of 100% accurate predictions divided by total number """
        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
Simple accuracy measure: number of 100% accurate predictions divided by total number