# 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()