Separate HDF5OutputLayer::Forward_gpu/Backward_gpu into cu file

src/caffe/layers/hdf5_output_layer.cpp

@@ -77,42 +77,12 @@ Dtype HDF5OutputLayer<Dtype>::Forward_cpu(const vector<Blob<Dtype>*>& bottom,
   return Dtype(0.);
 }
 
-template <typename Dtype>
-Dtype HDF5OutputLayer<Dtype>::Forward_gpu(const vector<Blob<Dtype>*>& bottom,
-      vector<Blob<Dtype>*>* top) {
-  CHECK_GE(bottom.size(), 2);
-  CHECK_EQ(bottom[0]->num(), bottom[1]->num());
-  data_blob_.Reshape(bottom[0]->num(), bottom[0]->channels(),
-                     bottom[0]->height(), bottom[0]->width());
-  label_blob_.Reshape(bottom[1]->num(), bottom[1]->channels(),
-                     bottom[1]->height(), bottom[1]->width());
-  const int data_datum_dim = bottom[0]->count() / bottom[0]->num();
-  const int label_datum_dim = bottom[1]->count() / bottom[1]->num();
-
-  for (int i = 0; i < bottom[0]->num(); ++i) {
-    CUDA_CHECK(cudaMemcpy(&data_blob_.mutable_cpu_data()[i * data_datum_dim],
-           &bottom[0]->gpu_data()[i * data_datum_dim],
-           sizeof(Dtype) * data_datum_dim, cudaMemcpyDeviceToHost));
-    CUDA_CHECK(cudaMemcpy(&label_blob_.mutable_cpu_data()[i * label_datum_dim],
-           &bottom[1]->gpu_data()[i * label_datum_dim],
-           sizeof(Dtype) * label_datum_dim, cudaMemcpyDeviceToHost));
-  }
-  SaveBlobs();
-  return Dtype(0.);
-}
-
 template <typename Dtype>
 void HDF5OutputLayer<Dtype>::Backward_cpu(const vector<Blob<Dtype>*>& top,
       const bool propagate_down, vector<Blob<Dtype>*>* bottom) {
   return;
 }
 
-template <typename Dtype>
-void HDF5OutputLayer<Dtype>::Backward_gpu(const vector<Blob<Dtype>*>& top,
-      const bool propagate_down, vector<Blob<Dtype>*>* bottom) {
-  return;
-}
-
 INSTANTIATE_CLASS(HDF5OutputLayer);
 
 }  // namespace caffe

src/caffe/layers/hdf5_output_layer.cu

@@ -0,0 +1,53 @@
+// Copyright 2014 BVLC and contributors.
+/*
+Contributors:
+- kloudkl@github, 2014.
+*/
+
+#include <vector>
+
+#include "hdf5.h"
+#include "hdf5_hl.h"
+
+#include "caffe/blob.hpp"
+#include "caffe/common.hpp"
+#include "caffe/layer.hpp"
+#include "caffe/util/io.hpp"
+#include "caffe/vision_layers.hpp"
+
+namespace caffe {
+using std::vector;
+
+template <typename Dtype>
+Dtype HDF5OutputLayer<Dtype>::Forward_gpu(const vector<Blob<Dtype>*>& bottom,
+      vector<Blob<Dtype>*>* top) {
+  CHECK_GE(bottom.size(), 2);
+  CHECK_EQ(bottom[0]->num(), bottom[1]->num());
+  data_blob_.Reshape(bottom[0]->num(), bottom[0]->channels(),
+                     bottom[0]->height(), bottom[0]->width());
+  label_blob_.Reshape(bottom[1]->num(), bottom[1]->channels(),
+                     bottom[1]->height(), bottom[1]->width());
+  const int data_datum_dim = bottom[0]->count() / bottom[0]->num();
+  const int label_datum_dim = bottom[1]->count() / bottom[1]->num();
+
+  for (int i = 0; i < bottom[0]->num(); ++i) {
+    CUDA_CHECK(cudaMemcpy(&data_blob_.mutable_cpu_data()[i * data_datum_dim],
+           &bottom[0]->gpu_data()[i * data_datum_dim],
+           sizeof(Dtype) * data_datum_dim, cudaMemcpyDeviceToHost));
+    CUDA_CHECK(cudaMemcpy(&label_blob_.mutable_cpu_data()[i * label_datum_dim],
+           &bottom[1]->gpu_data()[i * label_datum_dim],
+           sizeof(Dtype) * label_datum_dim, cudaMemcpyDeviceToHost));
+  }
+  SaveBlobs();
+  return Dtype(0.);
+}
+
+template <typename Dtype>
+void HDF5OutputLayer<Dtype>::Backward_gpu(const vector<Blob<Dtype>*>& top,
+      const bool propagate_down, vector<Blob<Dtype>*>* bottom) {
+  return;
+}
+
+INSTANTIATE_CLASS(HDF5OutputLayer);
+
+}  // namespace caffe