text: # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  # ==============================================================================
  """Contains the ActivityRegularization layer."""
  # pylint: disable=g-classes-have-attributes,g-direct-tensorflow-import
  
  from keras import regularizers
  from keras.engine.base_layer import Layer
  from tensorflow.python.util.tf_export import keras_export
  
  
  @keras_export('keras.layers.ActivityRegularization')
  class ActivityRegularization(Layer):
    """Layer that applies an update to the cost function based input activity.
  
    Args:
      l1: L1 regularization factor (positive float).
      l2: L2 regularization factor (positive float).
  
    Input shape:
      Arbitrary. Use the keyword argument `input_shape`
      (tuple of integers, does not include the samples axis)
      when using this layer as the first layer in a model.
  
    Output shape:
      Same shape as input.
    """
  
    def __init__(self, l1=0., l2=0., **kwargs):
      super(ActivityRegularization, self).__init__(
          activity_regularizer=regularizers.L1L2(l1=l1, l2=l2), **kwargs)
      self.supports_masking = True
      self.l1 = l1
      self.l2 = l2
  
    def compute_output_shape(self, input_shape):
      return input_shape
  
    def get_config(self):
      config = {'l1': self.l1, 'l2': self.l2}
      base_config = super(ActivityRegularization, self).get_config()
      return dict(list(base_config.items()) + list(config.items()))
  