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
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
//
// Copyright (C) 2017, Intel Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
#include "perf_precomp.hpp"
namespace cvtest
{
#ifdef HAVE_HALIDE
using namespace cv;
using namespace dnn;
static void loadNet(std::string weights, std::string proto, std::string scheduler,
int inWidth, int inHeight, const std::string& outputLayer,
const std::string& framework, int targetId, Net* net)
{
Mat input(inHeight, inWidth, CV_32FC3);
randu(input, 0.0f, 1.0f);
weights = findDataFile(weights, false);
if (!proto.empty())
proto = findDataFile(proto, false);
if (!scheduler.empty())
scheduler = findDataFile(scheduler, false);
if (framework == "caffe")
{
*net = cv::dnn::readNetFromCaffe(proto, weights);
}
else if (framework == "torch")
{
*net = cv::dnn::readNetFromTorch(weights);
}
else if (framework == "tensorflow")
{
*net = cv::dnn::readNetFromTensorflow(weights);
}
else
CV_Error(Error::StsNotImplemented, "Unknown framework " + framework);
net->setInput(blobFromImage(input, 1.0, Size(), Scalar(), false));
net->setPreferableBackend(DNN_BACKEND_HALIDE);
net->setPreferableTarget(targetId);
net->setHalideScheduler(scheduler);
net->forward(outputLayer);
}
////////////////////////////////////////////////////////////////////////////////
// CPU target
////////////////////////////////////////////////////////////////////////////////
PERF_TEST(GoogLeNet, HalidePerfTest)
{
Net net;
loadNet("dnn/bvlc_googlenet.caffemodel", "dnn/bvlc_googlenet.prototxt",
"", 227, 227, "prob", "caffe", DNN_TARGET_CPU, &net);
TEST_CYCLE() net.forward();
SANITY_CHECK_NOTHING();
}
PERF_TEST(AlexNet, HalidePerfTest)
{
Net net;
loadNet("dnn/bvlc_alexnet.caffemodel", "dnn/bvlc_alexnet.prototxt",
"dnn/halide_scheduler_alexnet.yml", 227, 227, "prob", "caffe",
DNN_TARGET_CPU, &net);
TEST_CYCLE() net.forward();
SANITY_CHECK_NOTHING();
}
PERF_TEST(ResNet50, HalidePerfTest)
{
Net net;
loadNet("dnn/ResNet-50-model.caffemodel", "dnn/ResNet-50-deploy.prototxt",
"dnn/halide_scheduler_resnet_50.yml", 224, 224, "prob", "caffe",
DNN_TARGET_CPU, &net);
TEST_CYCLE() net.forward();
SANITY_CHECK_NOTHING();
}
PERF_TEST(SqueezeNet_v1_1, HalidePerfTest)
{
Net net;
loadNet("dnn/squeezenet_v1.1.caffemodel", "dnn/squeezenet_v1.1.prototxt",
"dnn/halide_scheduler_squeezenet_v1_1.yml", 227, 227, "prob",
"caffe", DNN_TARGET_CPU, &net);
TEST_CYCLE() net.forward();
SANITY_CHECK_NOTHING();
}
PERF_TEST(Inception_5h, HalidePerfTest)
{
Net net;
loadNet("dnn/tensorflow_inception_graph.pb", "",
"dnn/halide_scheduler_inception_5h.yml",
224, 224, "softmax2", "tensorflow", DNN_TARGET_CPU, &net);
TEST_CYCLE() net.forward("softmax2");
SANITY_CHECK_NOTHING();
}
PERF_TEST(ENet, HalidePerfTest)
{
Net net;
loadNet("dnn/Enet-model-best.net", "", "dnn/halide_scheduler_enet.yml",
512, 256, "l367_Deconvolution", "torch", DNN_TARGET_CPU, &net);
TEST_CYCLE() net.forward();
SANITY_CHECK_NOTHING();
}
////////////////////////////////////////////////////////////////////////////////
// OpenCL target
////////////////////////////////////////////////////////////////////////////////
PERF_TEST(GoogLeNet_opencl, HalidePerfTest)
{
Net net;
loadNet("dnn/bvlc_googlenet.caffemodel", "dnn/bvlc_googlenet.prototxt",
"", 227, 227, "prob", "caffe", DNN_TARGET_OPENCL, &net);
TEST_CYCLE() net.forward();
SANITY_CHECK_NOTHING();
}
PERF_TEST(AlexNet_opencl, HalidePerfTest)
{
Net net;
loadNet("dnn/bvlc_alexnet.caffemodel", "dnn/bvlc_alexnet.prototxt",
"dnn/halide_scheduler_opencl_alexnet.yml", 227, 227, "prob", "caffe",
DNN_TARGET_OPENCL, &net);
TEST_CYCLE() net.forward();
SANITY_CHECK_NOTHING();
}
PERF_TEST(ResNet50_opencl, HalidePerfTest)
{
Net net;
loadNet("dnn/ResNet-50-model.caffemodel", "dnn/ResNet-50-deploy.prototxt",
"dnn/halide_scheduler_opencl_resnet_50.yml", 224, 224, "prob", "caffe",
DNN_TARGET_OPENCL, &net);
TEST_CYCLE() net.forward();
SANITY_CHECK_NOTHING();
}
PERF_TEST(SqueezeNet_v1_1_opencl, HalidePerfTest)
{
Net net;
loadNet("dnn/squeezenet_v1.1.caffemodel", "dnn/squeezenet_v1.1.prototxt",
"dnn/halide_scheduler_opencl_squeezenet_v1_1.yml", 227, 227, "prob",
"caffe", DNN_TARGET_OPENCL, &net);
TEST_CYCLE() net.forward();
SANITY_CHECK_NOTHING();
}
PERF_TEST(Inception_5h_opencl, HalidePerfTest)
{
Net net;
loadNet("dnn/tensorflow_inception_graph.pb", "",
"dnn/halide_scheduler_opencl_inception_5h.yml",
224, 224, "softmax2", "tensorflow", DNN_TARGET_OPENCL, &net);
TEST_CYCLE() net.forward("softmax2");
SANITY_CHECK_NOTHING();
}
PERF_TEST(ENet_opencl, HalidePerfTest)
{
Net net;
loadNet("dnn/Enet-model-best.net", "", "dnn/halide_scheduler_opencl_enet.yml",
512, 256, "l367_Deconvolution", "torch", DNN_TARGET_OPENCL, &net);
TEST_CYCLE() net.forward();
SANITY_CHECK_NOTHING();
}
#endif // HAVE_HALIDE
} // namespace cvtest