#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=100)

# fc1 is equal to fc2
# note that in mixed_layer, default bias_attr=False,
# and default act=LinearActivation().
fc1 = fc_layer(input=data, size=1000, 
               bias_attr=False, 
               act=LinearActivation())

with mixed_layer(size=1000) as fc2:
    fc2 += full_matrix_projection(input=data)

concat = concat_layer(input=[fc1, fc2])

outputs(concat)