code: def dummy_tensor(shape=(), random_seed=42):
      """Returns a randomly initialized tensor."""
  
      return tf.Variable(
          tf_compat.random_normal(shape=shape, seed=random_seed),
          trainable=False,
      ).read_value()
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  from adanet import tf_compat
  from adanet.subnetwork.generator import Builder
  from adanet.subnetwork.generator import Subnetwork
  import tensorflow.compat.v2
label_desc: Use image node_id 1 for calling a global function with example usage: dummy_tensor(shape, random_seed) and returns: tf