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49 lines
1.5 KiB
49 lines
1.5 KiB
6 years ago
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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");
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#include <string>
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#include <vector>
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#include "paddle/fluid/operators/conv_op.h"
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#ifdef PADDLE_WITH_CUDA
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#include "paddle/fluid/platform/cudnn_helper.h"
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#endif
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namespace paddle {
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namespace operators {
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// This fused conv follows the equation:
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// y = act ( alpha1 * conv(x) + alpha2 * z + bias ).
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// here, y is Output,
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// x is Input,
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// z is ResidualData,
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// bias is Bias
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class Conv2DFusionOpMaker : public Conv2DOpMaker {
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protected:
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void Apply() override {
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AddAttr<std::string>(
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"activation",
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"The activation type can be 'identity', 'sigmoid', 'relu', 'relu6' "
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"'relux' , 'tanh', 'band_pass'")
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.SetDefault("relu");
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}
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};
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// TODO(qingqing): add gradient operator for conv2d_fusion
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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REGISTER_OPERATOR(conv2d_fusion, ops::ConvOp, ops::Conv2DFusionOpMaker,
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ops::ConvOpInferVarType, paddle::framework::EmptyGradOpMaker);
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