Merge pull request #733 from longjon/pycaffe-tweaks
[platform/upstream/caffeonacl.git] / src / caffe / layers / hdf5_output_layer.cu
1 // Copyright 2014 BVLC and contributors.
2
3 #include <vector>
4
5 #include "hdf5.h"
6 #include "hdf5_hl.h"
7
8 #include "caffe/blob.hpp"
9 #include "caffe/common.hpp"
10 #include "caffe/layer.hpp"
11 #include "caffe/util/io.hpp"
12 #include "caffe/vision_layers.hpp"
13
14 namespace caffe {
15
16 template <typename Dtype>
17 Dtype HDF5OutputLayer<Dtype>::Forward_gpu(const vector<Blob<Dtype>*>& bottom,
18       vector<Blob<Dtype>*>* top) {
19   CHECK_GE(bottom.size(), 2);
20   CHECK_EQ(bottom[0]->num(), bottom[1]->num());
21   data_blob_.Reshape(bottom[0]->num(), bottom[0]->channels(),
22                      bottom[0]->height(), bottom[0]->width());
23   label_blob_.Reshape(bottom[1]->num(), bottom[1]->channels(),
24                      bottom[1]->height(), bottom[1]->width());
25   const int data_datum_dim = bottom[0]->count() / bottom[0]->num();
26   const int label_datum_dim = bottom[1]->count() / bottom[1]->num();
27
28   for (int i = 0; i < bottom[0]->num(); ++i) {
29     caffe_copy(data_datum_dim, &bottom[0]->gpu_data()[i * data_datum_dim],
30         &data_blob_.mutable_cpu_data()[i * data_datum_dim]);
31     caffe_copy(label_datum_dim, &bottom[0]->gpu_data()[i * label_datum_dim],
32         &label_blob_.mutable_cpu_data()[i * label_datum_dim]);
33   }
34   SaveBlobs();
35   return Dtype(0.);
36 }
37
38 template <typename Dtype>
39 void HDF5OutputLayer<Dtype>::Backward_gpu(const vector<Blob<Dtype>*>& top,
40       const vector<bool>& propagate_down, vector<Blob<Dtype>*>* bottom) {
41   return;
42 }
43
44 INSTANTIATE_CLASS(HDF5OutputLayer);
45
46 }  // namespace caffe