33 lines
1.3 KiB
33 lines
1.3 KiB
#edit-mode: -*- python -*-
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# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from paddle.trainer_config_helpers import *
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settings(batch_size=10)
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data = data_layer(name ="input", size=8*16*16)
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proj1 = conv_projection(input=data, filter_size=1, filter_size_y=1,
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num_channels=8, num_filters=16, stride=1)
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proj2 = conv_projection(input=data, filter_size=1, filter_size_y=1,
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num_channels=8, num_filters=16, stride=1)
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concat = concat_layer(input=[proj1, proj2], bias_attr=False, act=ReluActivation())
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proj = conv_projection(input=data, filter_size=1, filter_size_y=1,
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num_channels=8, num_filters=16, stride=1, groups=2)
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with mixed_layer(bias_attr=True, act=LinearActivation()) as conv:
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conv += proj
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outputs(concat, conv)
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