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
|
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#if defined(ENABLE_TORCH_IMPORTER) && ENABLE_TORCH_IMPORTER
#if defined(ENABLE_TORCH_TESTS) && ENABLE_TORCH_TESTS
#include "test_precomp.hpp"
namespace cvtest
{
using namespace std;
using namespace testing;
using namespace cv;
using namespace cv::dnn;
template<typename TStr>
static std::string _tf(TStr filename)
{
return (getOpenCVExtraDir() + "/dnn/torch/") + filename;
}
TEST(Torch_Importer, simple_read)
{
Net net;
Ptr<Importer> importer;
ASSERT_NO_THROW( importer = createTorchImporter(_tf("net_simple_net.txt"), false) );
ASSERT_TRUE( importer != NULL );
importer->populateNet(net);
}
static void runTorchNet(String prefix, String outLayerName, bool isBinary)
{
String suffix = (isBinary) ? ".dat" : ".txt";
Net net;
Ptr<Importer> importer = createTorchImporter(_tf(prefix + "_net" + suffix), isBinary);
ASSERT_TRUE(importer != NULL);
importer->populateNet(net);
Blob inp, outRef;
ASSERT_NO_THROW( inp = readTorchBlob(_tf(prefix + "_input" + suffix), isBinary) );
ASSERT_NO_THROW( outRef = readTorchBlob(_tf(prefix + "_output" + suffix), isBinary) );
net.setBlob(".0", inp);
net.forward();
Blob out = net.getBlob(outLayerName);
normAssert(outRef, out);
}
TEST(Torch_Importer, run_convolution)
{
runTorchNet("net_conv", "l1_Convolution", false);
}
TEST(Torch_Importer, run_pool_max)
{
runTorchNet("net_pool_max", "l1_Pooling", false);
}
TEST(Torch_Importer, run_pool_ave)
{
runTorchNet("net_pool_ave", "l1_Pooling", false);
}
TEST(Torch_Importer, run_reshape)
{
runTorchNet("net_reshape", "l1_Reshape", false);
runTorchNet("net_reshape_batch", "l1_Reshape", false);
}
TEST(Torch_Importer, run_linear)
{
runTorchNet("net_linear_2d", "l1_InnerProduct", false);
}
TEST(Torch_Importer, run_paralel)
{
runTorchNet("net_parallel", "l2_torchMerge", false);
}
TEST(Torch_Importer, run_concat)
{
runTorchNet("net_concat", "l2_torchMerge", false);
}
}
#endif
#endif
|
