diff options
Diffstat (limited to 'debian/ti-timl/usr/share/ti/examples/timl/app/cnn/interop/caffe/appCNNInteropCaffeNormLayerConvert.cpp')
-rw-r--r-- | debian/ti-timl/usr/share/ti/examples/timl/app/cnn/interop/caffe/appCNNInteropCaffeNormLayerConvert.cpp | 79 |
1 files changed, 79 insertions, 0 deletions
diff --git a/debian/ti-timl/usr/share/ti/examples/timl/app/cnn/interop/caffe/appCNNInteropCaffeNormLayerConvert.cpp b/debian/ti-timl/usr/share/ti/examples/timl/app/cnn/interop/caffe/appCNNInteropCaffeNormLayerConvert.cpp new file mode 100644 index 0000000..9776e99 --- /dev/null +++ b/debian/ti-timl/usr/share/ti/examples/timl/app/cnn/interop/caffe/appCNNInteropCaffeNormLayerConvert.cpp | |||
@@ -0,0 +1,79 @@ | |||
1 | /******************************************************************************/ | ||
2 | /*! | ||
3 | * \file appCNNInteropCaffeNormLayerConvert.cpp | ||
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.type Caffe layer type | ||
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, STRIC * \param[in] m Rows | ||
32 | * \param[in] n ColsT LIABILITY, OR TORT | ||
33 | * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE | ||
34 | * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. | ||
35 | * | ||
36 | ******************************************************************************/ | ||
37 | |||
38 | |||
39 | /******************************************************************************* | ||
40 | * | ||
41 | * INCLUDES | ||
42 | * | ||
43 | ******************************************************************************/ | ||
44 | |||
45 | #include "appCNNInteropCaffe.hpp" | ||
46 | |||
47 | |||
48 | /******************************************************************************/ | ||
49 | /*! | ||
50 | * \ingroup appCNNInteropCaffe | ||
51 | * \brief Caffe norm layer conversion | ||
52 | * \param[in] cnn CNN | ||
53 | * \param[in] layerStructure Layer structure | ||
54 | * \param[in] layerParam Layer params | ||
55 | * \return Error code | ||
56 | */ | ||
57 | /******************************************************************************/ | ||
58 | |||
59 | #include "appCNNInteropCaffe.hpp" | ||
60 | |||
61 | int appCNNInteropCaffeNormLayerConvert(timlConvNeuralNetwork *cnn, LayerParameter layerStructure, LayerParameter layerParam) | ||
62 | { | ||
63 | timlCNNNormParams params; | ||
64 | params.N = layerStructure.lrn_param().local_size(); | ||
65 | params.alpha = layerStructure.lrn_param().alpha(); | ||
66 | params.beta = layerStructure.lrn_param().beta(); | ||
67 | |||
68 | if (layerStructure.lrn_param().norm_region() == LRNParameter_NormRegion_ACROSS_CHANNELS) { | ||
69 | params.type = CNN_InterChannel; | ||
70 | } | ||
71 | else { | ||
72 | params.type = CNN_IntraChannel; | ||
73 | } | ||
74 | timlCNNAddNormLayer(cnn, params); | ||
75 | timlCNNNormInitialize(cnn->tail); | ||
76 | |||
77 | return 0; | ||
78 | } | ||
79 | |||