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()