old_contents: # Copyright 2019 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.
  # ==============================================================================
  """Additional optimizers that conform to Keras API."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  from tensorflow_addons.optimizers.conditional_gradient import ConditionalGradient
  from tensorflow_addons.optimizers.cyclical_learning_rate import (
      CyclicalLearningRate)
  from tensorflow_addons.optimizers.cyclical_learning_rate import (
      TriangularCyclicalLearningRate)
  from tensorflow_addons.optimizers.cyclical_learning_rate import (
      Triangular2CyclicalLearningRate)
  from tensorflow_addons.optimizers.cyclical_learning_rate import (
      ExponentialCyclicalLearningRate)
  from tensorflow_addons.optimizers.lamb import LAMB
  from tensorflow_addons.optimizers.lazy_adam import LazyAdam
  from tensorflow_addons.optimizers.lookahead import Lookahead
  from tensorflow_addons.optimizers.moving_average import MovingAverage
  from tensorflow_addons.optimizers.rectified_adam import RectifiedAdam
  from tensorflow_addons.optimizers.weight_decay_optimizers import AdamW
  from tensorflow_addons.optimizers.weight_decay_optimizers import SGDW
  from tensorflow_addons.optimizers.weight_decay_optimizers import (
      extend_with_decoupled_weight_decay)
  
new_contents: # Copyright 2019 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.
  # ==============================================================================
  """Additional optimizers that conform to Keras API."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  from tensorflow_addons.optimizers.conditional_gradient import ConditionalGradient
  from tensorflow_addons.optimizers.cyclical_learning_rate import (
      CyclicalLearningRate)
  from tensorflow_addons.optimizers.cyclical_learning_rate import (
      TriangularCyclicalLearningRate)
  from tensorflow_addons.optimizers.cyclical_learning_rate import (
      Triangular2CyclicalLearningRate)
  from tensorflow_addons.optimizers.cyclical_learning_rate import (
      ExponentialCyclicalLearningRate)
  from tensorflow_addons.optimizers.lamb import LAMB
  from tensorflow_addons.optimizers.lazy_adam import LazyAdam
  from tensorflow_addons.optimizers.lookahead import Lookahead
  from tensorflow_addons.optimizers.moving_average import MovingAverage
  from tensorflow_addons.optimizers.rectified_adam import RectifiedAdam
  from tensorflow_addons.optimizers.stochastic_weight_averaging import SWA
  from tensorflow_addons.optimizers.weight_decay_optimizers import AdamW
  from tensorflow_addons.optimizers.weight_decay_optimizers import SGDW
  from tensorflow_addons.optimizers.weight_decay_optimizers import (
      extend_with_decoupled_weight_decay)
  
subject: Add SWA in optimizers.__init__ (#815)