text: #   Copyright (c) 2021 PaddlePaddle 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.
  
  from ...tensor import math, manipulation
  from .. import Layer
  
  __all__ = []
  
  
  class FloatFunctionalLayer(Layer):
      def __init__(self):
          super(FloatFunctionalLayer, self).__init__()
  
  
  class add(FloatFunctionalLayer):
      def __init__(self):
          super(add, self).__init__()
  
      def forward(self, x, y, name=None):
          return math.add(x, y, name)
  
  
  class subtract(FloatFunctionalLayer):
      def __init__(self):
          super(subtract, self).__init__()
  
      def forward(self, x, y, name=None):
          return math.subtract(x, y, name)
  
  
  class multiply(FloatFunctionalLayer):
      def __init__(self):
          super(multiply, self).__init__()
  
      def forward(self, x, y, name=None):
          return math.multiply(x, y, name)
  
  
  class divide(FloatFunctionalLayer):
      def __init__(self):
          super(divide, self).__init__()
  
      def forward(self, x, y, name=None):
          return math.divide(x, y, name)
  
  
  class reshape(FloatFunctionalLayer):
      def __init__(self):
          super(reshape, self).__init__()
  
      def forward(self, x, shape, name=None):
          return manipulation.reshape(x, shape, name)
  
  
  class transpose(FloatFunctionalLayer):
      def __init__(self):
          super(transpose, self).__init__()
  
      def forward(self, x, perm, name=None):
          return manipulation.transpose(x, perm, name)
  
  
  class concat(FloatFunctionalLayer):
      def __init__(self):
          super(concat, self).__init__()
  
      def forward(self, x, axis=0, name=None):
          return manipulation.concat(x, axis, name)
  
  
  class flatten(FloatFunctionalLayer):
      def __init__(self):
          super(flatten, self).__init__()
  
      def forward(self, x, start_axis=0, stop_axis=-1, name=None):
          return manipulation.flatten(x, start_axis, stop_axis, name)
  