#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
#
#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 paddle.trainer_config_helpers import *

settings(batch_size=1000, learning_rate=1e-5)

data = data_layer(name='data', size=2304, height=48, width=48)

conv = img_conv_layer(
    input=data,
    filter_size=3,
    num_channels=1,
    num_filters=16,
    padding=1,
    act=LinearActivation(),
    bias_attr=True)

maxout = maxout_layer(input=conv, num_channels=16, groups=2)

pool = img_pool_layer(
    input=maxout, num_channels=8, pool_size=2, stride=2, pool_type=MaxPooling())

conv2 = img_conv_layer(
    input=pool,
    filter_size=3,
    num_channels=8,
    num_filters=128,
    padding=1,
    act=LinearActivation(),
    bias_attr=True)

maxout2 = maxout_layer(input=conv2, num_channels=128, groups=4)

block = block_expand_layer(
    input=maxout2,
    num_channels=32,
    stride_x=1,
    stride_y=1,
    block_x=1,
    block_y=6)

fc = fc_layer(input=block, size=384, bias_attr=False)

outputs(fc)