Error: AttributeError: module 'tensorflow.compat.v2.__internal__' has no attribute 'monitoring'

[qm-intel]

How to resolve this error?

I am running this code on Jupyter notebook. I have imported tensor2tensor and tensorflow packages, however, this error arises. Can anyone assist what is the reason?

from tensor2tensor.data_generators.problem import Problem
...

ttributeError                            Traceback (most recent call last)
Input In [13], in <cell line: 11>()
      9 from sklearn.metrics import mean_squared_error
     10 from tensor2tensor.utils import contrib
---> 11 from tensor2tensor.data_generators.problem import Problem
     12 from tensor2tensor.data_generators.text_encoder import TokenTextEncoder
     13 from tqdm import tqdm

File ~/anaconda3/envs/tf-env/lib/python3.9/site-packages/tensor2tensor/data_generators/problem.py:27, in <module>
     24 import random
     25 import six
---> 27 from tensor2tensor.data_generators import generator_utils
     28 from tensor2tensor.data_generators import text_encoder
     29 from tensor2tensor.utils import contrib

File ~/anaconda3/envs/tf-env/lib/python3.9/site-packages/tensor2tensor/data_generators/generator_utils.py:1171, in <module>
   1166       break
   1167     return tmp_dir
   1170 def tfrecord_iterator_for_problem(problem, data_dir,
-> 1171                                   dataset_split=tf.estimator.ModeKeys.TRAIN):
   1172   """Iterate over the records on disk for the Problem."""
   1173   filenames = tf.gfile.Glob(problem.filepattern(data_dir, mode=dataset_split))

File ~/anaconda3/envs/tf-env/lib/python3.9/site-packages/tensorflow/python/util/lazy_loader.py:62, in LazyLoader.__getattr__(self, item)
     61 def __getattr__(self, item):
---> 62   module = self._load()
     63   return getattr(module, item)

File ~/anaconda3/envs/tf-env/lib/python3.9/site-packages/tensorflow/python/util/lazy_loader.py:45, in LazyLoader._load(self)
     43 """Load the module and insert it into the parent's globals."""
     44 # Import the target module and insert it into the parent's namespace
---> 45 module = importlib.import_module(self.__name__)
     46 self._parent_module_globals[self._local_name] = module
     48 # Emit a warning if one was specified

File ~/anaconda3/envs/tf-env/lib/python3.9/importlib/__init__.py:127, in import_module(name, package)
    125             break
    126         level += 1
--> 127 return _bootstrap._gcd_import(name[level:], package, level)

File ~/anaconda3/envs/tf-env/lib/python3.9/site-packages/tensorflow_estimator/python/estimator/api/_v1/estimator/__init__.py:10, in <module>
      6 from __future__ import print_function as _print_function
      8 import sys as _sys
---> 10 from tensorflow_estimator.python.estimator.api._v1.estimator import experimental
     11 from tensorflow_estimator.python.estimator.api._v1.estimator import export
     12 from tensorflow_estimator.python.estimator.api._v1.estimator import inputs

File ~/anaconda3/envs/tf-env/lib/python3.9/site-packages/tensorflow_estimator/__init__.py:10, in <module>
      6 from __future__ import print_function as _print_function
      8 import sys as _sys
---> 10 from tensorflow_estimator._api.v1 import estimator
     12 del _print_function
     14 from tensorflow.python.util import module_wrapper as _module_wrapper

File ~/anaconda3/envs/tf-env/lib/python3.9/site-packages/tensorflow_estimator/_api/v1/estimator/__init__.py:13, in <module>
     11 from tensorflow_estimator._api.v1.estimator import export
     12 from tensorflow_estimator._api.v1.estimator import inputs
---> 13 from tensorflow_estimator._api.v1.estimator import tpu
     14 from tensorflow_estimator.python.estimator.canned.baseline import BaselineClassifier
     15 from tensorflow_estimator.python.estimator.canned.baseline import BaselineEstimator

File ~/anaconda3/envs/tf-env/lib/python3.9/site-packages/tensorflow_estimator/_api/v1/estimator/tpu/__init__.py:14, in <module>
     12 from tensorflow_estimator.python.estimator.tpu.tpu_config import RunConfig
     13 from tensorflow_estimator.python.estimator.tpu.tpu_config import TPUConfig
---> 14 from tensorflow_estimator.python.estimator.tpu.tpu_estimator import TPUEstimator
     15 from tensorflow_estimator.python.estimator.tpu.tpu_estimator import TPUEstimatorSpec
     17 del _print_function

File ~/anaconda3/envs/tf-env/lib/python3.9/site-packages/tensorflow_estimator/python/estimator/tpu/tpu_estimator.py:108, in <module>
    105 _WRAP_INPUT_FN_INTO_WHILE_LOOP = False
    107 # Track the adoption of TPUEstimator
--> 108 _tpu_estimator_gauge = tf.compat.v2.__internal__.monitoring.BoolGauge(
    109     '/tensorflow/api/tpu_estimator',
    110     'Whether the program uses tpu estimator or not.')
    112 if ops.get_to_proto_function('{}_{}'.format(_TPU_ESTIMATOR,
    113                                             _ITERATIONS_PER_LOOP_VAR)) is None:
    114   ops.register_proto_function(
    115       '{}_{}'.format(_TPU_ESTIMATOR, _ITERATIONS_PER_LOOP_VAR),
    116       proto_type=variable_pb2.VariableDef,
    117       to_proto=resource_variable_ops._to_proto_fn,  # pylint: disable=protected-access
    118       from_proto=resource_variable_ops._from_proto_fn)  # pylint: disable=protected-access

AttributeError: module 'tensorflow.compat.v2.__internal__' has no attribute 'monitoring'

...