mkldnn_branches_conv_conv_concat_32c.conf

# Copyright (c) 2017 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=16)

data = data_layer(name ="input", size=32*16*16)

conv = img_conv_layer(input=data,
            num_channels=32,
            filter_size=3,
            num_filters=32,
            padding=1,
            shared_biases=True,
            act=ReluActivation())

b1 = img_conv_layer(input=conv,
            filter_size=1,
            num_filters=32,
            padding=0,
            shared_biases=True,
            act=ReluActivation())

b2 = img_conv_layer(input=conv,
            filter_size=3,
            num_filters=32,
            padding=1,
            shared_biases=True,
            act=ReluActivation())

concat = concat_layer(input=[b1, b2])

outputs(concat)