img_conv_c.conf 1.7 KB
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#edit-mode: -*- python -*-
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# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved
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#
# 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)
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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(),
                        layer_type="exconv")
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(),
                       layer_type="exconv")
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concat = concat_layer(input=[conv1, conv2])
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conv = img_conv_layer(input=data, filter_size=1, filter_size_y=1,
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                      num_channels=8,
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                      num_filters=16, stride=1,
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                      bias_attr=True,
                      act=LinearActivation(),
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                      groups=2,
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                      layer_type="exconv")
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outputs(concat, conv)