417c082cafff43baa996ef21a614dcc9ad524393,tensorlayer/layers/recurrent.py,,target_mask_op,#Any#Any#,857

Before Change

    elif data_shape_size == 2:
        return tf.cast(tf.not_equal(data, pad_val), dtype=tf.int32)
    elif data_shape_size == 1:
        raise ValueError("target_mask_op: data has wrong shape!")
    else:
        raise ValueError("target_mask_op: handling data_shape_size %s hasn"t been implemented!" % (data_shape_size))

After Change

    

    if not isinstance(data, tf.Tensor):
        raise AttributeError("target_mask_op: the type of input data should be tf.Tensor but got %s." % type(data))
    data_shape_size = data.get_shape().ndims
    if data_shape_size == 3:
        return tf.cast(tf.reduce_any(input_tensor=tf.not_equal(data, pad_val), axis=2), dtype=tf.int32)
    elif data_shape_size == 2:

Instances