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// Copyright 2014 BVLC and contributors.
#ifndef CAFFE_VISION_LAYERS_HPP_
#define CAFFE_VISION_LAYERS_HPP_
#include <string>
#include <utility>
#include <vector>
#include "caffe/blob.hpp"
#include "caffe/common.hpp"
#include "caffe/common_layers.hpp"
#include "caffe/data_layers.hpp"
#include "caffe/layer.hpp"
#include "caffe/loss_layers.hpp"
#include "caffe/neuron_layers.hpp"
#include "caffe/proto/caffe.pb.h"
namespace caffe {
/* ConvolutionLayer
*/
template <typename Dtype>
class ConvolutionLayer : public Layer<Dtype> {
public:
explicit ConvolutionLayer(const LayerParameter& param)
: Layer<Dtype>(param) {}
virtual void SetUp(const vector<Blob<Dtype>*>& bottom,
vector<Blob<Dtype>*>* top);
virtual inline LayerParameter_LayerType type() const {
return LayerParameter_LayerType_CONVOLUTION;
}
virtual inline int MinBottomBlobs() const { return 1; }
virtual inline int MinTopBlobs() const { return 1; }
virtual inline bool EqualNumBottomTopBlobs() const { return true; }
protected:
virtual Dtype Forward_cpu(const vector<Blob<Dtype>*>& bottom,
vector<Blob<Dtype>*>* top);
virtual Dtype Forward_gpu(const vector<Blob<Dtype>*>& bottom,
vector<Blob<Dtype>*>* top);
virtual void Backward_cpu(const vector<Blob<Dtype>*>& top,
const vector<bool>& propagate_down, vector<Blob<Dtype>*>* bottom);
virtual void Backward_gpu(const vector<Blob<Dtype>*>& top,
const vector<bool>& propagate_down, vector<Blob<Dtype>*>* bottom);
int kernel_h_, kernel_w_;
int stride_h_, stride_w_;
int num_;
int channels_;
int pad_h_, pad_w_;
int height_;
int width_;
int num_output_;
int group_;
Blob<Dtype> col_buffer_;
Blob<Dtype> bias_multiplier_;
bool bias_term_;
int M_;
int K_;
int N_;
};
/* EltwiseLayer
Compute elementwise operations like product or sum.
*/
template <typename Dtype>
class EltwiseLayer : public Layer<Dtype> {
public:
explicit EltwiseLayer(const LayerParameter& param)
: Layer<Dtype>(param) {}
virtual void SetUp(const vector<Blob<Dtype>*>& bottom,
vector<Blob<Dtype>*>* top);
virtual inline LayerParameter_LayerType type() const {
return LayerParameter_LayerType_ELTWISE;
}
virtual inline int MinBottomBlobs() const { return 2; }
virtual inline int ExactNumTopBlobs() const { return 1; }
protected:
virtual Dtype Forward_cpu(const vector<Blob<Dtype>*>& bottom,
vector<Blob<Dtype>*>* top);
virtual Dtype Forward_gpu(const vector<Blob<Dtype>*>& bottom,
vector<Blob<Dtype>*>* top);
virtual void Backward_cpu(const vector<Blob<Dtype>*>& top,
const vector<bool>& propagate_down, vector<Blob<Dtype>*>* bottom);
virtual void Backward_gpu(const vector<Blob<Dtype>*>& top,
const vector<bool>& propagate_down, vector<Blob<Dtype>*>* bottom);
EltwiseParameter_EltwiseOp op_;
vector<Dtype> coeffs_;
};
/* Im2colLayer
*/
template <typename Dtype>
class Im2colLayer : public Layer<Dtype> {
public:
explicit Im2colLayer(const LayerParameter& param)
: Layer<Dtype>(param) {}
virtual void SetUp(const vector<Blob<Dtype>*>& bottom,
vector<Blob<Dtype>*>* top);
virtual inline LayerParameter_LayerType type() const {
return LayerParameter_LayerType_IM2COL;
}
virtual inline int ExactNumBottomBlobs() const { return 1; }
virtual inline int ExactNumTopBlobs() const { return 1; }
protected:
virtual Dtype Forward_cpu(const vector<Blob<Dtype>*>& bottom,
vector<Blob<Dtype>*>* top);
virtual Dtype Forward_gpu(const vector<Blob<Dtype>*>& bottom,
vector<Blob<Dtype>*>* top);
virtual void Backward_cpu(const vector<Blob<Dtype>*>& top,
const vector<bool>& propagate_down, vector<Blob<Dtype>*>* bottom);
virtual void Backward_gpu(const vector<Blob<Dtype>*>& top,
const vector<bool>& propagate_down, vector<Blob<Dtype>*>* bottom);
int kernel_h_, kernel_w_;
int stride_h_, stride_w_;
int channels_;
int height_;
int width_;
int pad_h_, pad_w_;
};
/* InnerProductLayer
*/
template <typename Dtype>
class InnerProductLayer : public Layer<Dtype> {
public:
explicit InnerProductLayer(const LayerParameter& param)
: Layer<Dtype>(param) {}
virtual void SetUp(const vector<Blob<Dtype>*>& bottom,
vector<Blob<Dtype>*>* top);
virtual inline LayerParameter_LayerType type() const {
return LayerParameter_LayerType_INNER_PRODUCT;
}
virtual inline int ExactNumBottomBlobs() const { return 1; }
virtual inline int ExactNumTopBlobs() const { return 1; }
protected:
virtual Dtype Forward_cpu(const vector<Blob<Dtype>*>& bottom,
vector<Blob<Dtype>*>* top);
virtual Dtype Forward_gpu(const vector<Blob<Dtype>*>& bottom,
vector<Blob<Dtype>*>* top);
virtual void Backward_cpu(const vector<Blob<Dtype>*>& top,
const vector<bool>& propagate_down, vector<Blob<Dtype>*>* bottom);
virtual void Backward_gpu(const vector<Blob<Dtype>*>& top,
const vector<bool>& propagate_down, vector<Blob<Dtype>*>* bottom);
int M_;
int K_;
int N_;
bool bias_term_;
Blob<Dtype> bias_multiplier_;
};
// Forward declare PoolingLayer and SplitLayer for use in LRNLayer.
template <typename Dtype> class PoolingLayer;
template <typename Dtype> class SplitLayer;
/* LRNLayer
Local Response Normalization
*/
template <typename Dtype>
class LRNLayer : public Layer<Dtype> {
public:
explicit LRNLayer(const LayerParameter& param)
: Layer<Dtype>(param) {}
virtual void SetUp(const vector<Blob<Dtype>*>& bottom,
vector<Blob<Dtype>*>* top);
virtual inline LayerParameter_LayerType type() const {
return LayerParameter_LayerType_LRN;
}
virtual inline int ExactNumBottomBlobs() const { return 1; }
virtual inline int ExactNumTopBlobs() const { return 1; }
protected:
virtual Dtype Forward_cpu(const vector<Blob<Dtype>*>& bottom,
vector<Blob<Dtype>*>* top);
virtual Dtype Forward_gpu(const vector<Blob<Dtype>*>& bottom,
vector<Blob<Dtype>*>* top);
virtual void Backward_cpu(const vector<Blob<Dtype>*>& top,
const vector<bool>& propagate_down, vector<Blob<Dtype>*>* bottom);
virtual void Backward_gpu(const vector<Blob<Dtype>*>& top,
const vector<bool>& propagate_down, vector<Blob<Dtype>*>* bottom);
virtual Dtype CrossChannelForward_cpu(const vector<Blob<Dtype>*>& bottom,
vector<Blob<Dtype>*>* top);
virtual Dtype CrossChannelForward_gpu(const vector<Blob<Dtype>*>& bottom,
vector<Blob<Dtype>*>* top);
virtual Dtype WithinChannelForward(const vector<Blob<Dtype>*>& bottom,
vector<Blob<Dtype>*>* top);
virtual void CrossChannelBackward_cpu(const vector<Blob<Dtype>*>& top,
const vector<bool>& propagate_down, vector<Blob<Dtype>*>* bottom);
virtual void CrossChannelBackward_gpu(const vector<Blob<Dtype>*>& top,
const vector<bool>& propagate_down, vector<Blob<Dtype>*>* bottom);
virtual void WithinChannelBackward(const vector<Blob<Dtype>*>& top,
const vector<bool>& propagate_down, vector<Blob<Dtype>*>* bottom);
int size_;
int pre_pad_;
Dtype alpha_;
Dtype beta_;
int num_;
int channels_;
int height_;
int width_;
// Fields used for normalization ACROSS_CHANNELS
// scale_ stores the intermediate summing results
Blob<Dtype> scale_;
// Fields used for normalization WITHIN_CHANNEL
shared_ptr<SplitLayer<Dtype> > split_layer_;
vector<Blob<Dtype>*> split_top_vec_;
shared_ptr<PowerLayer<Dtype> > square_layer_;
Blob<Dtype> square_input_;
Blob<Dtype> square_output_;
vector<Blob<Dtype>*> square_bottom_vec_;
vector<Blob<Dtype>*> square_top_vec_;
shared_ptr<PoolingLayer<Dtype> > pool_layer_;
Blob<Dtype> pool_output_;
vector<Blob<Dtype>*> pool_top_vec_;
shared_ptr<PowerLayer<Dtype> > power_layer_;
Blob<Dtype> power_output_;
vector<Blob<Dtype>*> power_top_vec_;
shared_ptr<EltwiseLayer<Dtype> > product_layer_;
Blob<Dtype> product_data_input_;
vector<Blob<Dtype>*> product_bottom_vec_;
};
/* PoolingLayer
*/
template <typename Dtype>
class PoolingLayer : public Layer<Dtype> {
public:
explicit PoolingLayer(const LayerParameter& param)
: Layer<Dtype>(param) {}
virtual void SetUp(const vector<Blob<Dtype>*>& bottom,
vector<Blob<Dtype>*>* top);
virtual inline LayerParameter_LayerType type() const {
return LayerParameter_LayerType_POOLING;
}
virtual inline int ExactNumBottomBlobs() const { return 1; }
virtual inline int MinTopBlobs() const { return 1; }
virtual inline int MaxTopBlobs() const { return max_top_blobs_; }
protected:
virtual Dtype Forward_cpu(const vector<Blob<Dtype>*>& bottom,
vector<Blob<Dtype>*>* top);
virtual Dtype Forward_gpu(const vector<Blob<Dtype>*>& bottom,
vector<Blob<Dtype>*>* top);
virtual void Backward_cpu(const vector<Blob<Dtype>*>& top,
const vector<bool>& propagate_down, vector<Blob<Dtype>*>* bottom);
virtual void Backward_gpu(const vector<Blob<Dtype>*>& top,
const vector<bool>& propagate_down, vector<Blob<Dtype>*>* bottom);
int max_top_blobs_;
int kernel_h_, kernel_w_;
int stride_h_, stride_w_;
int pad_h_, pad_w_;
int channels_;
int height_;
int width_;
int pooled_height_;
int pooled_width_;
Blob<Dtype> rand_idx_;
Blob<int> max_idx_;
};
} // namespace caffe
#endif // CAFFE_VISION_LAYERS_HPP_
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