1 /******************************************************************************/\r
2 /*!\r
3 * \file timlCNNBackPropagation.c\r
4 */\r
5 /* Copyright (C) 2015 Texas Instruments Incorporated - http://www.ti.com/\r
6 *\r
7 * Redistribution and use in source and binary forms, with or without\r
8 * modification, are permitted provided that the following conditions\r
9 * are met:\r
10 *\r
11 * Redistributions of source code must retain the above copyright\r
12 * notice, this list of conditions and the following disclaimer.\r
13 *\r
14 * Redistributions in binary form must reproduce the above copyright\r
15 * notice, this list of conditions and the following disclaimer in the\r
16 * documentation and/or other materials provided with the\r
17 * distribution.\r
18 *\r
19 * Neither the name of Texas Instruments Incorporated nor the names of\r
20 * its contributors may be used to endorse or promote products derived\r
21 * from this software without specific prior written permission.\r
22 *\r
23 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS\r
24 * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT\r
25 * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR\r
26 * A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT\r
27 * OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,\r
28 * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT\r
29 * LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,\r
30 * DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY\r
31 * THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT\r
32 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE\r
33 * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\r
34 *\r
35 ******************************************************************************/\r
36 \r
37 \r
38 /*******************************************************************************\r
39 *\r
40 * INCLUDES\r
41 *\r
42 ******************************************************************************/\r
43 \r
44 #include "../api/timl.h"\r
45 \r
46 \r
47 /******************************************************************************/\r
48 /*!\r
49 * \ingroup cnn\r
50 * \brief Back propagate the gradient from layer to the first layer of the cnn\r
51 * \param[in] cnn CNN\r
52 * \param[in] layer Start layer\r
53 * \return Error code\r
54 */\r
55 /******************************************************************************/\r
56 \r
57 int timlCNNBackPropagation(timlConvNeuralNetwork *cnn)\r
58 {\r
59 int err = 0;\r
60 timlCNNLayer *layer = cnn->tail;\r
61 // search backward until the second layer\r
62 while (layer->type != CNN_Input) {\r
63 switch (layer->type) {\r
64 case CNN_SoftmaxCost:\r
65 err = timlCNNSoftmaxCostBackPropagation(layer);\r
66 if (err) return err;\r
67 break;\r
68 case CNN_Softmax:\r
69 err = timlCNNSoftmaxBackPropagation(layer);\r
70 if (err) return err;\r
71 break;\r
72 case CNN_Conv:\r
73 err = timlCNNConvBackPropagation(layer);\r
74 if (err) return err;\r
75 break;\r
76 case CNN_Pooling:\r
77 err = timlCNNPoolingBackPropagation(layer);\r
78 if (err) return err;\r
79 break;\r
80 case CNN_Norm:\r
81 err = timlCNNNormBackPropagation(layer);\r
82 if (err) return err;\r
83 break;\r
84 case CNN_Nonlinear:\r
85 err = timlCNNNonlinearBackPropagation(layer);\r
86 if (err) return err;\r
87 break;\r
88 case CNN_Linear:\r
89 err = timlCNNLinearBackPropagation(layer);\r
90 if (err) return err;\r
91 break;\r
92 case CNN_Dropout:\r
93 err = timlCNNDropoutBackPropagation(layer);\r
94 if (err) return err;\r
95 break;\r
96 }\r
97 layer = layer->prev;\r
98 }\r
99 return err;\r
100 }\r