#  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(learning_rate=1e-3, batch_size=1000)

img = data_layer(name='image', size=256 * 256)

# the parse_conv in config_parse.py is not strictly accurate when filter_size
# is not square. So here set square filter_size.
img_conv = img_conv_layer(
    input=img,
    num_channels=1,
    num_filters=64,
    filter_size=(32, 32),
    padding=(1, 1),
    dilation=(1, 1),
    stride=(1, 1),
    act=LinearActivation())
img_bn = batch_norm_layer(input=img_conv, act=ReluActivation())

img_norm = img_cmrnorm_layer(input=img_bn, size=32)

img_pool = img_pool_layer(input=img_conv, pool_size=32, pool_type=MaxPooling())

outputs(img_pool, img_norm)