Dean
/
openpose


  
1

	
2

	
3

	
4

	
5

	
6

	
7

	
8

	
9

	
10

	
11

	
12

	
13

	
14

	
15

	
16

	
17

	
18

	
19

	
20

	
21

	
22

	
23

	
24

	
25

	
26

	
27

	
28

	
29

	
30

	
31

	
32

	
33

	
34

	
35

	
36

	
37

	
38

	
39

	
40

	
41

	
42

	
43

	
44

	
45

	
46

	
47

	
48

	
49

	
50

	
51

	
52

	
53

	
54

	
55

	
56

	
57

	
58

	
59

	
60

	
61

	
62

	
63

	
64

	
65

	
66

	
67

	
68

	
69

	
70

	
71

	
72

	
73

	
74

	
75

	
76

	
77

	
78

	
79

	
80

	
81

	
82

	
83

	
84

	
85

	
86

	
87

	
88

	
89

	
90

	
91

	
92

	
93

	
94

	
95

	
96

	
97

	
98

	
99

	
100

	
101

	
102

	
103

	
104

	
105

	
106

	
107

	
108

	
109

	
110

	
111

	
112

	
113

	
114

	
115

	
116

	
117

	
118

	
119

	
120

	
121

	
122

	
123

	
124

	
125

	
126

	
127

	
            #include <vector>

#include "gtest/gtest.h"

#include "caffe/blob.hpp"
#include "caffe/common.hpp"
#include "caffe/filler.hpp"
#include "caffe/layers/dropout_layer.hpp"
#include "caffe/layers/pooling_layer.hpp"

#include "caffe/test/test_caffe_main.hpp"
#include "caffe/test/test_gradient_check_util.hpp"

namespace caffe {

template <typename TypeParam>
class MaxPoolingDropoutTest : public MultiDeviceTest<TypeParam> {
  typedef typename TypeParam::Dtype Dtype;
 protected:
  MaxPoolingDropoutTest()
      : blob_bottom_(new Blob<Dtype>()),
        blob_top_(new Blob<Dtype>()) {}
  virtual void SetUp() {
    Caffe::set_random_seed(1703);
    blob_bottom_->Reshape(2, 3, 6, 5);
    // fill the values
    FillerParameter filler_param;
    filler_param.set_value(1.);
    ConstantFiller<Dtype> filler(filler_param);
    filler.Fill(this->blob_bottom_);
    blob_bottom_vec_.push_back(blob_bottom_);
    blob_top_vec_.push_back(blob_top_);
  }
  virtual ~MaxPoolingDropoutTest() { delete blob_bottom_; delete blob_top_; }
  Blob<Dtype>* const blob_bottom_;
  Blob<Dtype>* const blob_top_;
  vector<Blob<Dtype>*> blob_bottom_vec_;
  vector<Blob<Dtype>*> blob_top_vec_;
};

TYPED_TEST_CASE(MaxPoolingDropoutTest, TestDtypesAndDevices);

TYPED_TEST(MaxPoolingDropoutTest, TestSetup) {
  typedef typename TypeParam::Dtype Dtype;
  LayerParameter layer_param;
  PoolingParameter* pooling_param = layer_param.mutable_pooling_param();
  pooling_param->set_kernel_size(3);
  pooling_param->set_stride(2);
  PoolingLayer<Dtype> max_layer(layer_param);
  max_layer.SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
  DropoutLayer<Dtype> dropout_layer(layer_param);
  dropout_layer.SetUp(this->blob_top_vec_, this->blob_top_vec_);
  EXPECT_EQ(this->blob_top_->num(), this->blob_bottom_->num());
  EXPECT_EQ(this->blob_top_->channels(), this->blob_bottom_->channels());
  EXPECT_EQ(this->blob_top_->height(), 3);
  EXPECT_EQ(this->blob_top_->width(), 2);
}


TYPED_TEST(MaxPoolingDropoutTest, TestForward) {
  typedef typename TypeParam::Dtype Dtype;
  LayerParameter layer_param;
  PoolingParameter* pooling_param = layer_param.mutable_pooling_param();
  pooling_param->set_kernel_size(3);
  pooling_param->set_stride(2);
  PoolingLayer<Dtype> layer(layer_param);
  layer.SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
  layer.Forward(this->blob_bottom_vec_, this->blob_top_vec_);
  const Dtype* top_data = this->blob_top_->cpu_data();
  Dtype sum = 0.;
  for (int i = 0; i < this->blob_top_->count(); ++i) {
    sum += top_data[i];
  }
  EXPECT_EQ(sum, this->blob_top_->count());
  // Dropout in-place
  DropoutLayer<Dtype> dropout_layer(layer_param);
  dropout_layer.SetUp(this->blob_top_vec_, this->blob_top_vec_);
  dropout_layer.Forward(this->blob_top_vec_, this->blob_top_vec_);
  sum = 0.;
  Dtype scale = 1. / (1. - layer_param.dropout_param().dropout_ratio());
  top_data = this->blob_top_->cpu_data();
  for (int i = 0; i < this->blob_top_->count(); ++i) {
    sum += top_data[i];
  }
  EXPECT_GE(sum, 0);
  EXPECT_LE(sum, this->blob_top_->count()*scale);
}

TYPED_TEST(MaxPoolingDropoutTest, TestBackward) {
  typedef typename TypeParam::Dtype Dtype;
  LayerParameter layer_param;
  layer_param.set_phase(TRAIN);
  PoolingParameter* pooling_param = layer_param.mutable_pooling_param();
  pooling_param->set_kernel_size(3);
  pooling_param->set_stride(2);
  PoolingLayer<Dtype> layer(layer_param);
  layer.SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
  layer.Forward(this->blob_bottom_vec_, this->blob_top_vec_);
  for (int i = 0; i < this->blob_top_->count(); ++i) {
    this->blob_top_->mutable_cpu_diff()[i] = 1.;
  }
  vector<bool> propagate_down(this->blob_bottom_vec_.size(), true);
  layer.Backward(this->blob_top_vec_, propagate_down,
                 this->blob_bottom_vec_);
  const Dtype* bottom_diff = this->blob_bottom_->cpu_diff();
  Dtype sum = 0.;
  for (int i = 0; i < this->blob_bottom_->count(); ++i) {
    sum += bottom_diff[i];
  }
  EXPECT_EQ(sum, this->blob_top_->count());
  // Dropout in-place
  DropoutLayer<Dtype> dropout_layer(layer_param);
  dropout_layer.SetUp(this->blob_top_vec_, this->blob_top_vec_);
  dropout_layer.Forward(this->blob_top_vec_, this->blob_top_vec_);
  dropout_layer.Backward(this->blob_top_vec_, propagate_down,
                         this->blob_top_vec_);
  layer.Backward(this->blob_top_vec_, propagate_down,
                 this->blob_bottom_vec_);
  Dtype sum_with_dropout = 0.;
  bottom_diff = this->blob_bottom_->cpu_diff();
  for (int i = 0; i < this->blob_bottom_->count(); ++i) {
    sum_with_dropout += bottom_diff[i];
  }
  EXPECT_GE(sum_with_dropout, sum);
}

}  // namespace caffe