48c1c96ac4cfec5580a5feb7eb7ef7c25c6db234,keras/backend/tensorflow_backend.py,,ctc_label_dense_to_sparse,#,4257

Before Change

                             label_shape)
    label_ind = tf.boolean_mask(label_array, dense_mask)

    batch_array = tf.transpose(tf.reshape(tf.tile(tf.range(label_shape[0]),
                                                  max_num_labels_tns), reverse(label_shape, 0)))
    batch_ind = tf.boolean_mask(batch_array, dense_mask)
    indices = tf.transpose(tf.reshape(concatenate([batch_ind, label_ind], axis=0), [2, -1]))

    vals_sparse = tf.gather_nd(labels, indices)

    return tf.SparseTensor(tf.to_int64(indices), vals_sparse, tf.to_int64(label_shape))

After Change

    label_ind = tf.boolean_mask(label_array, dense_mask)

    tmp = tf.tile(tf.range(label_shape[0]), max_num_labels_tns)
    batch_array = tf.transpose(tf.reshape(tmp, reverse(label_shape, 0)))
    batch_ind = tf.boolean_mask(batch_array, dense_mask)

    indices = concatenate([batch_ind, label_ind], axis=0)
    indices = tf.transpose(tf.reshape(indices, [2, -1]))

    vals_sparse = tf.gather_nd(labels, indices)

    indices = tf.to_int64(indices)
    label_shape = tf.to_int64(label_shape)

Instances