52 lines
1.4 KiB
52 lines
1.4 KiB
/* Copyright (c) 2016 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. */
|
|
|
|
#pragma once
|
|
|
|
#include <vector>
|
|
#include "ConvBaseLayer.h"
|
|
#include "paddle/math/Matrix.h"
|
|
|
|
namespace paddle {
|
|
|
|
/**
|
|
* @brief A subclass of convolution layer.
|
|
* This layer expands input and use matrix multiplication to
|
|
* calculate convolution operation.
|
|
*
|
|
* The config file api is img_conv_layer.
|
|
*/
|
|
|
|
class ExpandConvLayer : public ConvBaseLayer {
|
|
public:
|
|
explicit ExpandConvLayer(const LayerConfig& config) : ConvBaseLayer(config) {}
|
|
|
|
~ExpandConvLayer() {}
|
|
|
|
bool init(const LayerMap& layerMap,
|
|
const ParameterMap& parameterMap) override;
|
|
|
|
void forward(PassType passType) override;
|
|
void backward(const UpdateCallback& callback) override;
|
|
|
|
size_t getOutputSize();
|
|
|
|
protected:
|
|
std::vector<TensorShape> inputShape_;
|
|
std::vector<TensorShape> filterShape_;
|
|
std::vector<TensorShape> outputShape_;
|
|
};
|
|
|
|
} // namespace paddle
|