text: # The following source code was originally obtained from:
  # https://github.com/keras-team/keras/blob/r2.6/keras/layers/core.py#L388-L430
  # https://github.com/keras-team/keras/blob/r2.6/keras/activations.py#L354-L373
  # ==============================================================================
  
  # 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.
  # ==============================================================================
  """Layers that act as activation functions."""
  
  import tensorflow.compat.v2 as tf
  
  from keras.engine.base_layer import Layer
  
  
  class TanhActivation(Layer):
    """Applies tanh activation function to an output."""
  
    def __init__(self, **kwargs):
      super().__init__(**kwargs)
      self.supports_masking = True
      self.activation = tf.math.tanh
  
    def call(self, inputs):
      return self.activation(inputs)
  
    def compute_output_shape(self, input_shape):
      return input_shape
  
    def get_config(self):
      return super().get_config()
  