code: def _are_shapes_fully_defined(shapes_dict):
      for shape in shapes_dict.values():
          if not shape.is_fully_defined():
              return False
      return True
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import functools
  import multiprocessing
  import random
  import six
  from six.moves import range
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import mlperf_log
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 12 for calling a global function with example usage: _are_shapes_fully_defined(shapes_dict) and returns: True, False