code: def _unpack_from_int_7_28(value, shape):
      """Inverse operation of `_pack_into_int_7_28`."""
      val = tf.reshape(value, [-1, 1])
  
      a = tf.math.mod(val[:, 0], 2**7)
      b = tf.math.mod(tf.math.floordiv(val[:, 0], 2**7), 2**7)
      c = tf.math.mod(tf.math.floordiv(val[:, 0], 2**14), 2**7)
      d = tf.math.mod(tf.math.floordiv(val[:, 0], 2**21), 2**7)
  
      unpacked_val = tf.reshape(
          tf.stack([a, b, c, d], 1),
          [
              -1,
          ],
      )
      unpacked_val = tf.slice(
          unpacked_val, [0], [tf.reduce_prod(shape)]
      )
      return tf.reshape(unpacked_val, shape)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import logging
  import math
  import numpy
  import tensorflow
label_desc: Use image node_id 16 for calling a global function with example usage: _unpack_from_int_7_28(value, shape) and returns: tf