# ==============================================================================
"""TFDecorator-aware replacements for the contextlib module."""

import tensorflow.compat.v2 as tf

import contextlib as _contextlib


def contextmanager(target):

            

Reported by Pylint.

              
import tensorflow.compat.v2 as tf

import contextlib as _contextlib


def contextmanager(target):
  """A tf_decorator-aware wrapper for `contextlib.contextmanager`.


            

Reported by Pylint.

              

def contextmanager(target):
  """A tf_decorator-aware wrapper for `contextlib.contextmanager`.

  Usage is identical to `contextlib.contextmanager`.

  Args:
    target: A callable to be wrapped in a contextmanager.

            

Reported by Pylint.

                Returns:
    A callable that can be used inside of a `with` statement.
  """
  context_manager = _contextlib.contextmanager(target)
  return tf.__internal__.decorator.make_decorator(target, context_manager, 'contextmanager')

            

Reported by Pylint.

                  A callable that can be used inside of a `with` statement.
  """
  context_manager = _contextlib.contextmanager(target)
  return tf.__internal__.decorator.make_decorator(target, context_manager, 'contextmanager')

            

Reported by Pylint.

              [keras.io](https://keras.io).
"""
# pylint: disable=unused-import
from tensorflow.python import tf2
from keras import distribute

# See b/110718070#comment18 for more details about this import.
from keras import models


            

Reported by Pylint.

              from keras.engine.sequential import Sequential
from keras.engine.training import Model

from tensorflow.python.util.tf_export import keras_export

__version__ = '2.7.0'

keras_export('keras.__version__').export_constant(__name__, '__version__')

            

Reported by Pylint.

              from keras.engine.sequential import Sequential
from keras.engine.training import Model

from tensorflow.python.util.tf_export import keras_export

__version__ = '2.7.0'

keras_export('keras.__version__').export_constant(__name__, '__version__')

            

Reported by Pylint.

              from keras.engine.sequential import Sequential
from keras.engine.training import Model

from tensorflow.python.util.tf_export import keras_export

__version__ = '2.7.0'

keras_export('keras.__version__').export_constant(__name__, '__version__')

            

Reported by Pylint.

              # limitations under the License.
# ==============================================================================
"""Provides keras data preprocessing utils to pre-process tf.data.Datasets before they are fed to the model."""
# pylint: disable=g-import-not-at-top
# TODO(mihaimaruseac): remove the import of keras_preprocessing and injecting
# once we update to latest version of keras_preprocessing
import keras_preprocessing

from keras import backend

            

Reported by Pylint.

              # pylint: disable=g-import-not-at-top
# TODO(mihaimaruseac): remove the import of keras_preprocessing and injecting
# once we update to latest version of keras_preprocessing
import keras_preprocessing

from keras import backend
from keras.preprocessing import image
from keras.preprocessing import sequence
from keras.preprocessing import text

            

Reported by Pylint.

              # ==============================================================================
"""Provides keras data preprocessing utils to pre-process tf.data.Datasets before they are fed to the model."""
# pylint: disable=g-import-not-at-top
# TODO(mihaimaruseac): remove the import of keras_preprocessing and injecting
# once we update to latest version of keras_preprocessing
import keras_preprocessing

from keras import backend
from keras.preprocessing import image

            

Reported by Pylint.

              # See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Provides keras data preprocessing utils to pre-process tf.data.Datasets before they are fed to the model."""
# pylint: disable=g-import-not-at-top
# TODO(mihaimaruseac): remove the import of keras_preprocessing and injecting
# once we update to latest version of keras_preprocessing
import keras_preprocessing


            

Reported by Pylint.

              from __future__ import division
from __future__ import print_function

import keras  # pylint: disable=unused-import
from tensorflow.python.tools.api.generator import create_python_api

if __name__ == '__main__':
  create_python_api.main()

            

Reported by Pylint.

              from __future__ import print_function

import keras  # pylint: disable=unused-import
from tensorflow.python.tools.api.generator import create_python_api

if __name__ == '__main__':
  create_python_api.main()

            

Reported by Pylint.

              from tensorflow.python.tools.api.generator import create_python_api

if __name__ == '__main__':
  create_python_api.main()

            

Reported by Pylint.

              # limitations under the License.
# ==============================================================================
"""Batch Normalization V1 layer."""
# pylint: disable=g-classes-have-attributes

from keras.layers.normalization import batch_normalization
from tensorflow.python.util.tf_export import keras_export



            

Reported by Pylint.

              # pylint: disable=g-classes-have-attributes

from keras.layers.normalization import batch_normalization
from tensorflow.python.util.tf_export import keras_export


# pylint: disable=missing-docstring
@keras_export(v1=['keras.layers.BatchNormalization'])
class BatchNormalization(batch_normalization.BatchNormalizationBase):

            

Reported by Pylint.

              # pylint: disable=missing-docstring
@keras_export(v1=['keras.layers.BatchNormalization'])
class BatchNormalization(batch_normalization.BatchNormalizationBase):
  _USE_V2_BEHAVIOR = False

            

Reported by Pylint.

              

if __name__ == "__main__":
  assert tf.executing_eagerly()
  tf.test.main()

            

Reported by Bandit.

Reported by Pylint.

              
from keras.layers.core.tf_op_layer import SlicingOpLambda
from keras.layers.core.tf_op_layer import TFOpLambda


            

Reported by Pylint.

              # ==============================================================================
"""Strategy and optimizer combinations for combinations.combine()."""

import tensorflow.compat.v2 as tf
from keras.distribute import simple_models

simple_functional_model = tf.__internal__.test.combinations.NamedObject(
    "SimpleFunctionalModel", simple_models.SimpleFunctionalModel())


            

Reported by Pylint.

              """Keras model mode constants."""

# pylint: disable=unused-import
from tensorflow.python.saved_model.model_utils.mode_keys import KerasModeKeys as ModeKeys
# pylint: enable=unused-import

            

Reported by Pylint.