#edit-mode: -*- python -*-
# Copyright (c) 2016 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.


from paddle.trainer_config_helpers import *

settings(batch_size=10)

data = data_layer(name ="input", size=8*16*16)

conv1 = img_conv_layer(input=data, filter_size=1, filter_size_y=1,
                       num_channels=8,
                       num_filters=16, stride=1,
                       bias_attr=False,
                       act=ReluActivation())
conv2 = img_conv_layer(input=data, filter_size=1, filter_size_y=1,
                       num_channels=8,
                       num_filters=16, stride=1,
                       bias_attr=False,
                       act=ReluActivation())

proj1 = slice_projection(input=conv1, slices=[(0, 4), (4, 12)])

proj2 = slice_projection(input=conv2, slices=[(1, 5), (5, 15)])

concat = concat_layer(input=[proj1, proj2])

outputs(concat)