def inputter_crop():
    (_, crops) = tf.required_space_to_batch_paddings(input_shape, block_shape, base_paddings=base_paddings)
    return tf.cast(crops, tf.float64)
def inputter_crop():
    (_, crops) = tf.required_space_to_batch_paddings(input_shape, block_shape, base_paddings=base_paddings)
    return tf.cast(crops, tf.float64)