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Paddle/paddle/gserver/tests/mkldnn_branches_conv_conv_a...

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# 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=2)
data = data_layer(name ="input", size=3*4*4)
conv = img_conv_layer(input=data,
num_channels=1,
filter_size=3,
num_filters=2,
padding=1,
shared_biases=True,
act=ReluActivation())
b1 = img_conv_layer(input=conv,
filter_size=1,
num_filters=2,
padding=0,
shared_biases=True,
act=ReluActivation())
b2 = img_conv_layer(input=conv,
filter_size=3,
num_filters=2,
padding=1,
shared_biases=True,
act=ReluActivation())
concat = addto_layer(input=[b1, b2])
outputs(concat)