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Diffstat (limited to 'debian/ti-timl/usr/src/timl/src/test/cnn/testCNNSimpleResize.c')
-rw-r--r-- | debian/ti-timl/usr/src/timl/src/test/cnn/testCNNSimpleResize.c | 107 |
1 files changed, 107 insertions, 0 deletions
diff --git a/debian/ti-timl/usr/src/timl/src/test/cnn/testCNNSimpleResize.c b/debian/ti-timl/usr/src/timl/src/test/cnn/testCNNSimpleResize.c new file mode 100644 index 0000000..e0c52de --- /dev/null +++ b/debian/ti-timl/usr/src/timl/src/test/cnn/testCNNSimpleResize.c | |||
@@ -0,0 +1,107 @@ | |||
1 | /******************************************************************************/ | ||
2 | /*! | ||
3 | * \file testCNNSimpleResize.c | ||
4 | */ | ||
5 | /* Copyright (C) 2015 Texas Instruments Incorporated - http://www.ti.com/ | ||
6 | * | ||
7 | * Redistribution and use in source and binary forms, with or without | ||
8 | * modification, are permitted provided that the following conditions | ||
9 | * are met: | ||
10 | * | ||
11 | * Redistributions of source code must retain the above copyright | ||
12 | * notice, this list of conditions and the following disclaimer. | ||
13 | * | ||
14 | * Redistributions in binary form must reproduce the above copyright | ||
15 | * notice, this list of conditions and the following disclaimer in the | ||
16 | * documentation and/or other materials provided with the | ||
17 | * distribution. | ||
18 | * | ||
19 | * Neither the name of Texas Instruments Incorporated nor the names of | ||
20 | * its contributors may be used to endorse or promote products derived | ||
21 | * from this software without specific prior written permission. | ||
22 | * | ||
23 | * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS | ||
24 | * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT | ||
25 | * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR | ||
26 | * A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT | ||
27 | * OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, | ||
28 | * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT | ||
29 | * LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, | ||
30 | * DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY | ||
31 | * THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT | ||
32 | * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE | ||
33 | * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. | ||
34 | * | ||
35 | ******************************************************************************/ | ||
36 | |||
37 | |||
38 | /******************************************************************************* | ||
39 | * | ||
40 | * INCLUDES | ||
41 | * | ||
42 | ******************************************************************************/ | ||
43 | |||
44 | #include "testCNN.h" | ||
45 | |||
46 | |||
47 | /******************************************************************************* | ||
48 | * | ||
49 | * DEFINES | ||
50 | * | ||
51 | ******************************************************************************/ | ||
52 | |||
53 | #define MODEL_PATH "../../database/test/cnn/databaseTestCNNSimpleResize1.m" | ||
54 | #define RESIZED_MODEL_PATH "../../database/test/cnn/databaseTestCNNSimpleResize2.m" | ||
55 | #define IMAGE_ROW 28 | ||
56 | #define IMAGE_COL 28 | ||
57 | #define IMAGE_CHANNEL 1 | ||
58 | #define IMAGE_RESIZE_ROW 56 | ||
59 | #define IMAGE_RESIZE_COL 56 | ||
60 | #define IMAGE_RESIZE_CHANNEL 1 | ||
61 | #define INT_FORMAT "%10d" | ||
62 | #define FLOAT_FORMAT "%12.4f" | ||
63 | #define CNN_NAME "cnn" | ||
64 | #define PARAMS_LEVEL Util_ParamsLevel2 | ||
65 | |||
66 | |||
67 | /******************************************************************************/ | ||
68 | /*! | ||
69 | * \ingroup testCNN | ||
70 | * \brief Simple resize function test | ||
71 | * \return Error code | ||
72 | */ | ||
73 | /******************************************************************************/ | ||
74 | |||
75 | int testCNNSimpleResize() | ||
76 | { | ||
77 | timlConvNeuralNetwork *cnn; | ||
78 | |||
79 | printf("[Test] CNN simple resize\n"); | ||
80 | // build up the CNN | ||
81 | printf("1. Build up CNN\n"); | ||
82 | cnn = timlCNNCreateConvNeuralNetwork(timlCNNTrainingParamsDefault(), 0); | ||
83 | timlCNNAddInputLayer(cnn, IMAGE_ROW, IMAGE_COL, IMAGE_CHANNEL, timlCNNInputParamsDefault()); // input layer | ||
84 | timlCNNAddConvLayer(cnn, 5, 5, 1, 1, 6, timlCNNConvParamsDefault()); // conv layer | ||
85 | timlCNNAddNonlinearLayer(cnn, Util_Sigmoid); // sigmoid layer | ||
86 | timlCNNAddPoolingLayer(cnn, 4, 4, 4, 4, CNN_MaxPooling, timlCNNPoolingParamsDefault()); // max pooling layer | ||
87 | timlCNNAddDropoutLayer(cnn, 0.2); // dropout layer | ||
88 | timlCNNAddLinearLayer(cnn, 10, timlCNNLinearParamsDefault()); // linear layer | ||
89 | timlCNNAddNonlinearLayer(cnn, Util_Softmax); // softmax layer | ||
90 | timlCNNInitialize(cnn); | ||
91 | timlCNNReset(cnn); | ||
92 | |||
93 | // write model | ||
94 | printf("2. Write model\n"); | ||
95 | timlCNNWriteToFile(MODEL_PATH, cnn, PARAMS_LEVEL, CNN_NAME, FLOAT_FORMAT, INT_FORMAT); | ||
96 | |||
97 | timlCNNResize(cnn, IMAGE_RESIZE_ROW, IMAGE_RESIZE_COL, IMAGE_RESIZE_CHANNEL); | ||
98 | |||
99 | // write resized model | ||
100 | printf("3. Write resized model\n"); | ||
101 | timlCNNWriteToFile(RESIZED_MODEL_PATH, cnn, PARAMS_LEVEL, CNN_NAME, FLOAT_FORMAT, INT_FORMAT); | ||
102 | |||
103 | // free CNN | ||
104 | timlCNNDelete(cnn); | ||
105 | |||
106 | return 0; | ||
107 | } | ||