#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)
proj1 = conv_projection(input=data, filter_size=1, filter_size_y=1,
                        num_channels=8, num_filters=16, stride=1)
proj2 = conv_projection(input=data, filter_size=1, filter_size_y=1,
                        num_channels=8, num_filters=16, stride=1)
concat = concat_layer(input=[proj1, proj2], bias_attr=False, act=ReluActivation())

proj = conv_projection(input=data, filter_size=1, filter_size_y=1,
                       num_channels=8, num_filters=16, stride=1, groups=2)

with mixed_layer(bias_attr=True, act=LinearActivation()) as conv:
    conv += proj

outputs(concat, conv)