doxygen/conv__layer_8hpp_source.html

 #ifndef CAFFE_CONV_LAYER_HPP_
 #define CAFFE_CONV_LAYER_HPP_

 #include <vector>

 #include "caffe/blob.hpp"
 #include "caffe/layer.hpp"
 #include "caffe/proto/caffe.pb.h"

 #include "caffe/layers/base_conv_layer.hpp"

 namespace caffe {

 template <typename Dtype>
 class ConvolutionLayer : public BaseConvolutionLayer<Dtype> {
  public:
   explicit ConvolutionLayer(const LayerParameter& param)
       : BaseConvolutionLayer<Dtype>(param) {}

   virtual inline const char* type() const { return "Convolution"; }

  protected:
   virtual void Forward_cpu(const vector<Blob<Dtype>*>& bottom,
       const vector<Blob<Dtype>*>& top);
   virtual void Forward_gpu(const vector<Blob<Dtype>*>& bottom,
       const vector<Blob<Dtype>*>& top);
   virtual void Backward_cpu(const vector<Blob<Dtype>*>& top,
       const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom);
   virtual void Backward_gpu(const vector<Blob<Dtype>*>& top,
       const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom);
   virtual inline bool reverse_dimensions() { return false; }
   virtual void compute_output_shape();
 };

 }  // namespace caffe

 #endif  // CAFFE_CONV_LAYER_HPP_
caffe::ConvolutionLayer::Backward_gpu
virtual void Backward_gpu(const vector< Blob< Dtype > *> &top, const vector< bool > &propagate_down, const vector< Blob< Dtype > *> &bottom)
Using the GPU device, compute the gradients for any parameters and for the bottom blobs if propagate_...

caffe
A layer factory that allows one to register layers. During runtime, registered layers can be called b...
Definition: blob.hpp:14

caffe::ConvolutionLayer::type
virtual const char * type() const
Returns the layer type.
Definition: conv_layer.hpp:67

caffe::ConvolutionLayer::Backward_cpu
virtual void Backward_cpu(const vector< Blob< Dtype > *> &top, const vector< bool > &propagate_down, const vector< Blob< Dtype > *> &bottom)
Using the CPU device, compute the gradients for any parameters and for the bottom blobs if propagate_...
Definition: conv_layer.cpp:43

caffe::BaseConvolutionLayer
Abstract base class that factors out the BLAS code common to ConvolutionLayer and DeconvolutionLayer...
Definition: base_conv_layer.hpp:18

caffe::ConvolutionLayer::Forward_gpu
virtual void Forward_gpu(const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top)
Using the GPU device, compute the layer output. Fall back to Forward_cpu() if unavailable.

caffe::ConvolutionLayer::ConvolutionLayer
ConvolutionLayer(const LayerParameter &param)
Definition: conv_layer.hpp:64

caffe::ConvolutionLayer::Forward_cpu
virtual void Forward_cpu(const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top)
Using the CPU device, compute the layer output.
Definition: conv_layer.cpp:25

caffe::ConvolutionLayer
Convolves the input image with a bank of learned filters, and (optionally) adds biases.
Definition: conv_layer.hpp:31

caffe::Blob
A wrapper around SyncedMemory holders serving as the basic computational unit through which Layers...
Definition: blob.hpp:24