code: def version_greater_or_equal(semver):
      """Returns whether the current TF version is >= to semver string."""
  
      try:
          tf_version = tf.version.VERSION
      except AttributeError:
          tf_version = tf.VERSION
      return LooseVersion(tf_version) >= LooseVersion(semver)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from distutils.version import LooseVersion
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow.python import tf2
  from tensorflow.python.keras.metrics import Metric
  from tensorflow.python.tpu import tpu_function
  from tensorflow_estimator.python.estimator.head import regression_head
label_desc: Use image node_id 2 for calling a global function with example usage: version_greater_or_equal(semver) and returns: unknown