text: # Copyright (c) 2020 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.
  
  import paddle.fluid as fluid
  
  
  class Model(object):
      def __init__(self):
          pass
  
      def mlp(self, inputs, label, hidden_size=128):
          self.concat = fluid.layers.concat(inputs, axis=1)
          self.fc1 = fluid.layers.fc(input=self.concat, size=256, act='relu')
          self.fc2 = fluid.layers.fc(input=self.fc1, size=128, act='relu')
          self.predict = fluid.layers.fc(input=self.fc2, size=2, act='softmax')
          self.sum_cost = fluid.layers.cross_entropy(
              input=self.predict, label=label)
          self.accuracy = fluid.layers.accuracy(input=self.predict, label=label)
          self.loss = fluid.layers.reduce_mean(self.sum_cost)
          self.startup_program = fluid.default_startup_program()
  