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84 <li class="navelem"><a class="el" href="dir_4f218e5c1c68a8760266841df915118e.html">src</a></li><li class="navelem"><a class="el" href="dir_e5def28db4ba0142cedf1af2d851f321.html">common</a></li><li class="navelem"><a class="el" href="dir_c5b36bb030c577d6bbefab4a3e5235f0.html">api</a></li> </ul>
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89 <div class="title">timl.h</div> </div>
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92 <a href="timl_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="preprocessor">#ifndef TIML_H_</span></div>
93 <div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="preprocessor"></span><span class="preprocessor">#define TIML_H_</span></div>
94 <div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="preprocessor"></span></div>
95 <div class="line"><a name="l00004"></a><span class="lineno"> 4</span> </div>
96 <div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment">/******************************************************************************/</span></div>
97 <div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment">/* Copyright (C) 2015 Texas Instruments Incorporated - http://www.ti.com/</span></div>
98 <div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> *</span></div>
99 <div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> * Redistribution and use in source and binary forms, with or without</span></div>
100 <div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * modification, are permitted provided that the following conditions</span></div>
101 <div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * are met:</span></div>
102 <div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div>
103 <div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * Redistributions of source code must retain the above copyright</span></div>
104 <div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * notice, this list of conditions and the following disclaimer.</span></div>
105 <div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> *</span></div>
106 <div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * Redistributions in binary form must reproduce the above copyright</span></div>
107 <div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * notice, this list of conditions and the following disclaimer in the</span></div>
108 <div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * documentation and/or other materials provided with the</span></div>
109 <div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * distribution.</span></div>
110 <div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> *</span></div>
111 <div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="comment"> * Neither the name of Texas Instruments Incorporated nor the names of</span></div>
112 <div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="comment"> * its contributors may be used to endorse or promote products derived</span></div>
113 <div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="comment"> * from this software without specific prior written permission.</span></div>
114 <div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="comment"> *</span></div>
115 <div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="comment"> * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS</span></div>
116 <div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="comment"> * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT</span></div>
117 <div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="comment"> * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR</span></div>
118 <div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="comment"> * A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT</span></div>
119 <div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="comment"> * OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,</span></div>
120 <div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="comment"> * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT</span></div>
121 <div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="comment"> * LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,</span></div>
122 <div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="comment"> * DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY</span></div>
123 <div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="comment"> * THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT</span></div>
124 <div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="comment"> * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE</span></div>
125 <div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="comment"> * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.</span></div>
126 <div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="comment"> *</span></div>
127 <div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="comment"> ******************************************************************************/</span></div>
128 <div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div>
129 <div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div>
130 <div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="comment">/*******************************************************************************</span></div>
131 <div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="comment"> *</span></div>
132 <div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="comment"> * INCLUDES</span></div>
133 <div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="comment"> *</span></div>
134 <div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="comment"> ******************************************************************************/</span></div>
135 <div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div>
136 <div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="preprocessor">#include "<a class="code" href="timlUtil_8h.html">timlUtil.h</a>"</span></div>
137 <div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="preprocessor">#include "<a class="code" href="timlCNN_8h.html">timlCNN.h</a>"</span></div>
138 <div class="line"><a name="l00051"></a><span class="lineno"> 51</span> </div>
139 <div class="line"><a name="l00052"></a><span class="lineno"> 52</span> </div>
140 <div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment">/*******************************************************************************</span></div>
141 <div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"> *</span></div>
142 <div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment"> * DEFINITIONS</span></div>
143 <div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment"> *</span></div>
144 <div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"> ******************************************************************************/</span></div>
145 <div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div>
146 <div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="preprocessor">#define TIML_CPU</span></div>
147 <div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="preprocessor"></span><span class="preprocessor">#ifndef TIML_CPU</span></div>
148 <div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="preprocessor"></span><span class="preprocessor">#define TIML_ALT</span></div>
149 <div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="preprocessor"></span><span class="preprocessor">#endif</span></div>
150 <div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="preprocessor"></span></div>
151 <div class="line"><a name="l00064"></a><span class="lineno"> 64</span> </div>
152 <div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="comment">/*******************************************************************************</span></div>
153 <div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="comment"> *</span></div>
154 <div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="comment"> * CNN PUBLIC FUNCTION PROTOTYPES</span></div>
155 <div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="comment"> *</span></div>
156 <div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="comment"> ******************************************************************************/</span></div>
157 <div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div>
158 <div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div>
159 <div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div>
160 <div class="line"><a name="l00074"></a><span class="lineno"> 74</span> </div>
161 <div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="comment">/*******************************************************************************</span></div>
162 <div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="comment"> *</span></div>
163 <div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="comment"> * DEFAULT PARAMS FUNCTIONS</span></div>
164 <div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="comment"> *</span></div>
165 <div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="comment"> ******************************************************************************/</span></div>
166 <div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div>
167 <div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <a class="code" href="structtimlCNNInputParams.html">timlCNNInputParams</a> <a class="code" href="group__cnn.html#ga71b91e772f1e63528e53a6284ba7b879">timlCNNInputParamsDefault</a>();</div>
168 <div class="line"><a name="l00082"></a><span class="lineno"> 82</span> </div>
169 <div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <a class="code" href="structtimlCNNConvParams.html">timlCNNConvParams</a> <a class="code" href="group__cnn.html#ga33ddb7145ae4e19ea52e12576f4871aa">timlCNNConvParamsDefault</a>();</div>
170 <div class="line"><a name="l00084"></a><span class="lineno"> 84</span> </div>
171 <div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <a class="code" href="structtimlCNNLinearParams.html">timlCNNLinearParams</a> <a class="code" href="group__cnn.html#gad5c8fd10f11ccaa8142a665fc8ee93b8">timlCNNLinearParamsDefault</a>();</div>
172 <div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div>
173 <div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <a class="code" href="structtimlCNNPoolingParams.html">timlCNNPoolingParams</a> <a class="code" href="group__cnn.html#gacd163e268b3ccc9805bcca59689a36f5">timlCNNPoolingParamsDefault</a>();</div>
174 <div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div>
175 <div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <a class="code" href="structtimlCNNNonlinearParams.html">timlCNNNonlinearParams</a> <a class="code" href="group__cnn.html#ga24aaf5f0c47a32c8223073f22c88c184">timlCNNNonlinearParamsDefault</a>();</div>
176 <div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div>
177 <div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <a class="code" href="structtimlCNNNormParams.html">timlCNNNormParams</a> <a class="code" href="group__cnn.html#ga03ee34f7d893af02536bcbf2d071f721">timlCNNNormParamsDefault</a>();</div>
178 <div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div>
179 <div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <a class="code" href="structtimlCNNTrainingParams.html">timlCNNTrainingParams</a> <a class="code" href="group__cnn.html#gaaf7a5b272ae2ba5d0453f214afaab747">timlCNNTrainingParamsDefault</a>();</div>
180 <div class="line"><a name="l00094"></a><span class="lineno"> 94</span> </div>
181 <div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div>
182 <div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="comment">/*******************************************************************************</span></div>
183 <div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="comment"> *</span></div>
184 <div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="comment"> * CNN SETUP FUNCTIONS</span></div>
185 <div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="comment"> *</span></div>
186 <div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="comment"> ******************************************************************************/</span></div>
187 <div class="line"><a name="l00101"></a><span class="lineno"> 101</span> </div>
188 <div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <a class="code" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> *<a class="code" href="group__cnn.html#gaf75b4687f4b493b8a85bc7fcc37bdf18">timlCNNCreateConvNeuralNetwork</a>(<a class="code" href="structtimlCNNTrainingParams.html">timlCNNTrainingParams</a> params, <span class="keywordtype">int</span> deviceId);</div>
189 <div class="line"><a name="l00103"></a><span class="lineno"> 103</span> </div>
190 <div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="keywordtype">int</span> <a class="code" href="group__cnn.html#ga253033ab06b21f2bf28301bc1e53c419">timlCNNAddInputLayer</a>(<a class="code" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> *cnn, <span class="keywordtype">int</span> featureMapRow, <span class="keywordtype">int</span> featureMapCol, <span class="keywordtype">int</span> featureMapChannel, <a class="code" href="structtimlCNNInputParams.html">timlCNNInputParams</a> params);</div>
191 <div class="line"><a name="l00105"></a><span class="lineno"> 105</span> </div>
192 <div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="keywordtype">int</span> <a class="code" href="group__cnn.html#gab5dcc5ac470e15bea85f0a5570eec37d">timlCNNAddPoolingLayer</a>(<a class="code" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> *cnn, <span class="keywordtype">int</span> scaleRow, <span class="keywordtype">int</span> scaleCol, <span class="keywordtype">int</span> strideX, <span class="keywordtype">int</span> strideY, timlCNNPoolingType type, <a class="code" href="structtimlCNNPoolingParams.html">timlCNNPoolingParams</a> params);</div>
193 <div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div>
194 <div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="keywordtype">int</span> <a class="code" href="group__cnn.html#ga7627fe7a5294d7c8cac75d974b78a27a">timlCNNAddNormLayer</a>(<a class="code" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> *cnn, <a class="code" href="structtimlCNNNormParams.html">timlCNNNormParams</a> params);</div>
195 <div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div>
196 <div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="keywordtype">int</span> <a class="code" href="group__cnn.html#ga772bc4b21c2f800ee8ac5248a732f116">timlCNNAddConvLayer</a>(<a class="code" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> *cnn, <span class="keywordtype">int</span> kernelRow, <span class="keywordtype">int</span> kernelCol, <span class="keywordtype">int</span> strideX, <span class="keywordtype">int</span> strideY, <span class="keywordtype">int</span> featureMapChannel, <a class="code" href="structtimlCNNConvParams.html">timlCNNConvParams</a> params);</div>
197 <div class="line"><a name="l00111"></a><span class="lineno"> 111</span> </div>
198 <div class="line"><a name="l00112"></a><span class="lineno"> 112</span> <span class="keywordtype">int</span> <a class="code" href="group__cnn.html#gaddfd98d23613318bdc368eac98fddf0b">timlCNNAddNonlinearLayer</a>(<a class="code" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> *cnn, timlUtilActivationType type);</div>
199 <div class="line"><a name="l00113"></a><span class="lineno"> 113</span> </div>
200 <div class="line"><a name="l00114"></a><span class="lineno"> 114</span> <span class="keywordtype">int</span> <a class="code" href="group__cnn.html#ga0219ba397301c5fb3eedfb64e62e33bc">timlCNNAddLinearLayer</a>(<a class="code" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> *cnn, <span class="keywordtype">int</span> dim, <a class="code" href="structtimlCNNLinearParams.html">timlCNNLinearParams</a> params);</div>
201 <div class="line"><a name="l00115"></a><span class="lineno"> 115</span> </div>
202 <div class="line"><a name="l00116"></a><span class="lineno"> 116</span> <span class="keywordtype">int</span> <a class="code" href="group__cnn.html#gae988ef172bde701db59b1cfc33dd50ab">timlCNNAddDropoutLayer</a>(<a class="code" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> *cnn, <span class="keywordtype">float</span> prob);</div>
203 <div class="line"><a name="l00117"></a><span class="lineno"> 117</span> </div>
204 <div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="keywordtype">int</span> <a class="code" href="group__cnn.html#ga666fa0a68b725aa1e35dba659ba7c5f9">timlCNNInitialize</a>(<a class="code" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> *cnn);</div>
205 <div class="line"><a name="l00119"></a><span class="lineno"> 119</span> </div>
206 <div class="line"><a name="l00120"></a><span class="lineno"> 120</span> <span class="keywordtype">int</span> <a class="code" href="group__cnn.html#ga21bc0c855cb658f51fe5d6911acddb54">timlCNNReset</a>(<a class="code" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> *cnn);</div>
207 <div class="line"><a name="l00121"></a><span class="lineno"> 121</span> </div>
208 <div class="line"><a name="l00122"></a><span class="lineno"> 122</span> <span class="keywordtype">int</span> <a class="code" href="group__cnn.html#ga5af48b599237f48f016ce2060c6053e1">timlCNNDelete</a>(<a class="code" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> *cnn);</div>
209 <div class="line"><a name="l00123"></a><span class="lineno"> 123</span> </div>
210 <div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div>
211 <div class="line"><a name="l00125"></a><span class="lineno"> 125</span> <span class="comment">/*******************************************************************************</span></div>
212 <div class="line"><a name="l00126"></a><span class="lineno"> 126</span> <span class="comment"> *</span></div>
213 <div class="line"><a name="l00127"></a><span class="lineno"> 127</span> <span class="comment"> * CNN TRAINING AND TESTING FUNCTIONS</span></div>
214 <div class="line"><a name="l00128"></a><span class="lineno"> 128</span> <span class="comment"> *</span></div>
215 <div class="line"><a name="l00129"></a><span class="lineno"> 129</span> <span class="comment"> ******************************************************************************/</span></div>
216 <div class="line"><a name="l00130"></a><span class="lineno"> 130</span> </div>
217 <div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="keywordtype">int</span> <a class="code" href="group__cnn.html#ga9198f6379fad0e9e45dd8f64cc030ec3">timlCNNSupervisedTrainingWithLabelBatchMode</a>(<a class="code" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> *cnn, <span class="keywordtype">float</span> *data, <span class="keywordtype">int</span> *label, <span class="keywordtype">int</span> dim, <span class="keywordtype">int</span> num);</div>
218 <div class="line"><a name="l00132"></a><span class="lineno"> 132</span> </div>
219 <div class="line"><a name="l00133"></a><span class="lineno"> 133</span> <span class="keywordtype">int</span> <a class="code" href="group__cnn.html#ga8b59ecbca36e54cfa1df0766ece686b5">timlCNNClassifyTopNBatchMode</a>(<a class="code" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> *cnn, <span class="keywordtype">float</span> *data, <span class="keywordtype">int</span> dim, <span class="keywordtype">int</span> num, <span class="keywordtype">int</span> *label, <span class="keywordtype">float</span> *percent, <span class="keywordtype">int</span> topN);</div>
220 <div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div>
221 <div class="line"><a name="l00135"></a><span class="lineno"> 135</span> <span class="keywordtype">int</span> <a class="code" href="group__cnn.html#gafda5077b0d39c278469278b37f845aed">timlCNNClassifyTop1SingleMode</a>(<a class="code" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> *cnn, <span class="keywordtype">float</span> *data, <span class="keywordtype">int</span> dim);</div>
222 <div class="line"><a name="l00136"></a><span class="lineno"> 136</span> </div>
223 <div class="line"><a name="l00137"></a><span class="lineno"> 137</span> <span class="keywordtype">int</span> <a class="code" href="group__cnn.html#ga04d9a7e3725ce777402e1e5c4d5d4ce0">timlCNNSetMode</a>(<a class="code" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> *cnn, timlUtilPhase phase);</div>
224 <div class="line"><a name="l00138"></a><span class="lineno"> 138</span> </div>
225 <div class="line"><a name="l00139"></a><span class="lineno"> 139</span> </div>
226 <div class="line"><a name="l00140"></a><span class="lineno"> 140</span> <span class="comment">/*******************************************************************************</span></div>
227 <div class="line"><a name="l00141"></a><span class="lineno"> 141</span> <span class="comment"> *</span></div>
228 <div class="line"><a name="l00142"></a><span class="lineno"> 142</span> <span class="comment"> * CNN AUX FUNCTIONS</span></div>
229 <div class="line"><a name="l00143"></a><span class="lineno"> 143</span> <span class="comment"> *</span></div>
230 <div class="line"><a name="l00144"></a><span class="lineno"> 144</span> <span class="comment"> ******************************************************************************/</span></div>
231 <div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div>
232 <div class="line"><a name="l00146"></a><span class="lineno"> 146</span> <a class="code" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a>* <a class="code" href="group__cnn.html#ga409c28e6bb3633f1de65647b790aa320">timlCNNClone</a>(<a class="code" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> *cnn, <span class="keywordtype">int</span> deviceId);</div>
233 <div class="line"><a name="l00147"></a><span class="lineno"> 147</span> </div>
234 <div class="line"><a name="l00148"></a><span class="lineno"> 148</span> <a class="code" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a>* <a class="code" href="group__cnn.html#ga52826c14f9f1913947f5ca6937b5afd5">timlCNNShareParams</a>(<a class="code" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> *cnn, <span class="keywordtype">int</span> deviceId);</div>
235 <div class="line"><a name="l00149"></a><span class="lineno"> 149</span> </div>
236 <div class="line"><a name="l00150"></a><span class="lineno"> 150</span> <span class="keywordtype">long</span> <a class="code" href="group__cnn.html#ga2e8a7e765f885a236e40dfaed59913c6">timlCNNMemory</a>(<a class="code" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> *cnn);</div>
237 <div class="line"><a name="l00151"></a><span class="lineno"> 151</span> </div>
238 <div class="line"><a name="l00152"></a><span class="lineno"> 152</span> <span class="keywordtype">long</span> <a class="code" href="group__cnn.html#ga72df82405eb43be8bb75373aaf8ec101">timlCNNGetParamsNum</a>(<a class="code" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> *cnn);</div>
239 <div class="line"><a name="l00153"></a><span class="lineno"> 153</span> </div>
240 <div class="line"><a name="l00154"></a><span class="lineno"> 154</span> <span class="keywordtype">int</span> <a class="code" href="group__cnn.html#gad7f3f988c763fe5a80826439c9fb08bd">timlCNNWriteToFile</a>(<span class="keyword">const</span> <span class="keywordtype">char</span> * fileName, <a class="code" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> *cnn, <a class="code" href="group__util.html#ga8e44b2a87636024736da04ae5a53c1c9">timlUtilParamsLevel</a> paramsLevel, <span class="keyword">const</span> <span class="keywordtype">char</span>* name, <span class="keyword">const</span> <span class="keywordtype">char</span> *floatFormat, <span class="keyword">const</span> <span class="keywordtype">char</span> *intFormat);</div>
241 <div class="line"><a name="l00155"></a><span class="lineno"> 155</span> </div>
242 <div class="line"><a name="l00156"></a><span class="lineno"> 156</span> <a class="code" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a>* <a class="code" href="group__cnn.html#gabab7c3c18a2fa4a3a9985da42662682c">timlCNNReadFromFile</a>(<span class="keyword">const</span> <span class="keywordtype">char</span> * fileName, <span class="keywordtype">int</span> deviceId);</div>
243 <div class="line"><a name="l00157"></a><span class="lineno"> 157</span> </div>
244 <div class="line"><a name="l00158"></a><span class="lineno"> 158</span> <span class="keywordtype">int</span> <a class="code" href="group__cnn.html#ga123557b8025497fe266d58d80ee9983b">timlCNNPrint</a>(<a class="code" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> *cnn);</div>
245 <div class="line"><a name="l00159"></a><span class="lineno"> 159</span> </div>
246 <div class="line"><a name="l00160"></a><span class="lineno"> 160</span> <span class="keywordtype">int</span> <a class="code" href="group__cnn.html#ga13c723ecb589f7da7e01a9cd9591061d">timlCNNProfile</a>(<a class="code" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> *cnn, <span class="keywordtype">float</span> *data, <span class="keywordtype">int</span> dim, <span class="keywordtype">int</span> num, <span class="keywordtype">int</span> *label, <span class="keywordtype">int</span> iter);</div>
247 <div class="line"><a name="l00161"></a><span class="lineno"> 161</span> </div>
248 <div class="line"><a name="l00162"></a><span class="lineno"> 162</span> <span class="keywordtype">int</span> <a class="code" href="group__cnn.html#ga78addba765ea7dd8bf958d19d42be931">timlCNNResize</a>(<a class="code" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> *cnn, <span class="keywordtype">int</span> row, <span class="keywordtype">int</span> col, <span class="keywordtype">int</span> channel);</div>
249 <div class="line"><a name="l00163"></a><span class="lineno"> 163</span> </div>
250 <div class="line"><a name="l00164"></a><span class="lineno"> 164</span> <span class="keywordtype">int</span> <a class="code" href="group__cnn.html#gaf65f8d45c892f70eeee34b47791bdcb5">timlCNNGetLayerNum</a>(<a class="code" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> *cnn);</div>
251 <div class="line"><a name="l00165"></a><span class="lineno"> 165</span> </div>
252 <div class="line"><a name="l00166"></a><span class="lineno"> 166</span> <span class="keywordtype">int</span> <a class="code" href="group__cnn.html#ga78addba765ea7dd8bf958d19d42be931">timlCNNResize</a>(<a class="code" href="struct__timlConvNeuralNetwork__.html">timlConvNeuralNetwork</a> *cnn, <span class="keywordtype">int</span> row, <span class="keywordtype">int</span> col, <span class="keywordtype">int</span> channel);</div>
253 <div class="line"><a name="l00167"></a><span class="lineno"> 167</span> </div>
254 <div class="line"><a name="l00169"></a><span class="lineno"> 169</span> <span class="preprocessor">#endif</span></div>
255 <div class="ttc" id="group__cnn_html_gacd163e268b3ccc9805bcca59689a36f5"><div class="ttname"><a href="group__cnn.html#gacd163e268b3ccc9805bcca59689a36f5">timlCNNPoolingParamsDefault</a></div><div class="ttdeci">timlCNNPoolingParams timlCNNPoolingParamsDefault()</div><div class="ttdoc">Return the default parameters for the pooling layer. </div><div class="ttdef"><b>Definition:</b> timlCNNPoolingParamsDefault.c:55</div></div>
256 <div class="ttc" id="group__cnn_html_ga666fa0a68b725aa1e35dba659ba7c5f9"><div class="ttname"><a href="group__cnn.html#ga666fa0a68b725aa1e35dba659ba7c5f9">timlCNNInitialize</a></div><div class="ttdeci">int timlCNNInitialize(timlConvNeuralNetwork *cnn)</div><div class="ttdoc">Allocate the memory required by the cnn. </div><div class="ttdef"><b>Definition:</b> timlCNNInitialize.c:56</div></div>
257 <div class="ttc" id="group__cnn_html_ga04d9a7e3725ce777402e1e5c4d5d4ce0"><div class="ttname"><a href="group__cnn.html#ga04d9a7e3725ce777402e1e5c4d5d4ce0">timlCNNSetMode</a></div><div class="ttdeci">int timlCNNSetMode(timlConvNeuralNetwork *cnn, timlUtilPhase phase)</div><div class="ttdoc">Set the phase (train/test) of the cnn. </div><div class="ttdef"><b>Definition:</b> timlCNNSetMode.c:56</div></div>
258 <div class="ttc" id="group__cnn_html_gaaf7a5b272ae2ba5d0453f214afaab747"><div class="ttname"><a href="group__cnn.html#gaaf7a5b272ae2ba5d0453f214afaab747">timlCNNTrainingParamsDefault</a></div><div class="ttdeci">timlCNNTrainingParams timlCNNTrainingParamsDefault()</div><div class="ttdoc">Return the default training parameters. </div><div class="ttdef"><b>Definition:</b> timlCNNTrainingParamsDefault.c:55</div></div>
259 <div class="ttc" id="group__cnn_html_gaf75b4687f4b493b8a85bc7fcc37bdf18"><div class="ttname"><a href="group__cnn.html#gaf75b4687f4b493b8a85bc7fcc37bdf18">timlCNNCreateConvNeuralNetwork</a></div><div class="ttdeci">timlConvNeuralNetwork * timlCNNCreateConvNeuralNetwork(timlCNNTrainingParams params, int deviceId)</div><div class="ttdoc">Create a cnn structure. </div><div class="ttdef"><b>Definition:</b> timlCNNCreateConvNeuralNetwork.c:57</div></div>
260 <div class="ttc" id="group__cnn_html_ga24aaf5f0c47a32c8223073f22c88c184"><div class="ttname"><a href="group__cnn.html#ga24aaf5f0c47a32c8223073f22c88c184">timlCNNNonlinearParamsDefault</a></div><div class="ttdeci">timlCNNNonlinearParams timlCNNNonlinearParamsDefault()</div><div class="ttdoc">Return the default parameters for the nonlinear layer. </div><div class="ttdef"><b>Definition:</b> timlCNNNonlinearParamsDefault.c:55</div></div>
261 <div class="ttc" id="group__util_html_ga8e44b2a87636024736da04ae5a53c1c9"><div class="ttname"><a href="group__util.html#ga8e44b2a87636024736da04ae5a53c1c9">timlUtilParamsLevel</a></div><div class="ttdeci">timlUtilParamsLevel</div><div class="ttdef"><b>Definition:</b> timlUtil.h:132</div></div>
262 <div class="ttc" id="group__cnn_html_ga8b59ecbca36e54cfa1df0766ece686b5"><div class="ttname"><a href="group__cnn.html#ga8b59ecbca36e54cfa1df0766ece686b5">timlCNNClassifyTopNBatchMode</a></div><div class="ttdeci">int timlCNNClassifyTopNBatchMode(timlConvNeuralNetwork *cnn, float *data, int dim, int num, int *label, float *percent, int topN)</div><div class="ttdoc">Batch classification. </div><div class="ttdef"><b>Definition:</b> timlCNNClassifyTopNBatchMode.c:62</div></div>
263 <div class="ttc" id="structtimlCNNNormParams_html"><div class="ttname"><a href="structtimlCNNNormParams.html">timlCNNNormParams</a></div><div class="ttdef"><b>Definition:</b> timlCNN.h:193</div></div>
264 <div class="ttc" id="struct__timlConvNeuralNetwork___html"><div class="ttname"><a href="struct__timlConvNeuralNetwork__.html">_timlConvNeuralNetwork_</a></div><div class="ttdef"><b>Definition:</b> timlCNN.h:257</div></div>
265 <div class="ttc" id="structtimlCNNLinearParams_html"><div class="ttname"><a href="structtimlCNNLinearParams.html">timlCNNLinearParams</a></div><div class="ttdef"><b>Definition:</b> timlCNN.h:132</div></div>
266 <div class="ttc" id="group__cnn_html_ga52826c14f9f1913947f5ca6937b5afd5"><div class="ttname"><a href="group__cnn.html#ga52826c14f9f1913947f5ca6937b5afd5">timlCNNShareParams</a></div><div class="ttdeci">timlConvNeuralNetwork * timlCNNShareParams(timlConvNeuralNetwork *cnn, int deviceId)</div><div class="ttdoc">Create a new CNN that shares the parameters with the input CNN. </div><div class="ttdef"><b>Definition:</b> timlCNNShareParams.c:59</div></div>
267 <div class="ttc" id="group__cnn_html_ga9198f6379fad0e9e45dd8f64cc030ec3"><div class="ttname"><a href="group__cnn.html#ga9198f6379fad0e9e45dd8f64cc030ec3">timlCNNSupervisedTrainingWithLabelBatchMode</a></div><div class="ttdeci">int timlCNNSupervisedTrainingWithLabelBatchMode(timlConvNeuralNetwork *cnn, float *data, int *label, int dim, int num)</div><div class="ttdoc">Supervised training with label. </div><div class="ttdef"><b>Definition:</b> timlCNNSupervisedTrainingWithLabelBatchMode.c:60</div></div>
268 <div class="ttc" id="timlCNN_8h_html"><div class="ttname"><a href="timlCNN_8h.html">timlCNN.h</a></div></div>
269 <div class="ttc" id="group__cnn_html_ga772bc4b21c2f800ee8ac5248a732f116"><div class="ttname"><a href="group__cnn.html#ga772bc4b21c2f800ee8ac5248a732f116">timlCNNAddConvLayer</a></div><div class="ttdeci">int timlCNNAddConvLayer(timlConvNeuralNetwork *cnn, int kernelRow, int kernelCol, int strideX, int strideY, int featureMapChannel, timlCNNConvParams params)</div><div class="ttdoc">Add conv layer. </div><div class="ttdef"><b>Definition:</b> timlCNNAddConvLayer.c:62</div></div>
270 <div class="ttc" id="group__cnn_html_ga409c28e6bb3633f1de65647b790aa320"><div class="ttname"><a href="group__cnn.html#ga409c28e6bb3633f1de65647b790aa320">timlCNNClone</a></div><div class="ttdeci">timlConvNeuralNetwork * timlCNNClone(timlConvNeuralNetwork *cnn, int deviceId)</div><div class="ttdoc">Clone a cnn. </div><div class="ttdef"><b>Definition:</b> timlCNNClone.c:57</div></div>
271 <div class="ttc" id="group__cnn_html_ga03ee34f7d893af02536bcbf2d071f721"><div class="ttname"><a href="group__cnn.html#ga03ee34f7d893af02536bcbf2d071f721">timlCNNNormParamsDefault</a></div><div class="ttdeci">timlCNNNormParams timlCNNNormParamsDefault()</div><div class="ttdoc">Return the default parameters for the norm layer. </div><div class="ttdef"><b>Definition:</b> timlCNNNormParamsDefault.c:55</div></div>
272 <div class="ttc" id="structtimlCNNTrainingParams_html"><div class="ttname"><a href="structtimlCNNTrainingParams.html">timlCNNTrainingParams</a></div><div class="ttdef"><b>Definition:</b> timlCNN.h:244</div></div>
273 <div class="ttc" id="group__cnn_html_gaf65f8d45c892f70eeee34b47791bdcb5"><div class="ttname"><a href="group__cnn.html#gaf65f8d45c892f70eeee34b47791bdcb5">timlCNNGetLayerNum</a></div><div class="ttdeci">int timlCNNGetLayerNum(timlConvNeuralNetwork *cnn)</div><div class="ttdoc">Return the number of layers of the cnn. </div><div class="ttdef"><b>Definition:</b> timlCNNGetLayerNum.c:56</div></div>
274 <div class="ttc" id="timlUtil_8h_html"><div class="ttname"><a href="timlUtil_8h.html">timlUtil.h</a></div></div>
275 <div class="ttc" id="group__cnn_html_ga13c723ecb589f7da7e01a9cd9591061d"><div class="ttname"><a href="group__cnn.html#ga13c723ecb589f7da7e01a9cd9591061d">timlCNNProfile</a></div><div class="ttdeci">int timlCNNProfile(timlConvNeuralNetwork *cnn, float *data, int dim, int num, int *label, int iter)</div><div class="ttdoc">Profile the CNN with both timing and memory allocation. </div><div class="ttdef"><b>Definition:</b> timlCNNProfile.c:61</div></div>
276 <div class="ttc" id="structtimlCNNConvParams_html"><div class="ttname"><a href="structtimlCNNConvParams.html">timlCNNConvParams</a></div><div class="ttdef"><b>Definition:</b> timlCNN.h:158</div></div>
277 <div class="ttc" id="group__cnn_html_gab5dcc5ac470e15bea85f0a5570eec37d"><div class="ttname"><a href="group__cnn.html#gab5dcc5ac470e15bea85f0a5570eec37d">timlCNNAddPoolingLayer</a></div><div class="ttdeci">int timlCNNAddPoolingLayer(timlConvNeuralNetwork *cnn, int scaleRow, int scaleCol, int strideX, int strideY, timlCNNPoolingType type, timlCNNPoolingParams params)</div><div class="ttdoc">Add pooling layer. </div><div class="ttdef"><b>Definition:</b> timlCNNAddPoolingLayer.c:62</div></div>
278 <div class="ttc" id="group__cnn_html_ga33ddb7145ae4e19ea52e12576f4871aa"><div class="ttname"><a href="group__cnn.html#ga33ddb7145ae4e19ea52e12576f4871aa">timlCNNConvParamsDefault</a></div><div class="ttdeci">timlCNNConvParams timlCNNConvParamsDefault()</div><div class="ttdoc">Return the default parameters for the convolutional layer. </div><div class="ttdef"><b>Definition:</b> timlCNNConvParamsDefault.c:55</div></div>
279 <div class="ttc" id="group__cnn_html_gabab7c3c18a2fa4a3a9985da42662682c"><div class="ttname"><a href="group__cnn.html#gabab7c3c18a2fa4a3a9985da42662682c">timlCNNReadFromFile</a></div><div class="ttdeci">timlConvNeuralNetwork * timlCNNReadFromFile(const char *fileName, int deviceId)</div><div class="ttdoc">Read CNN from file(s) </div><div class="ttdef"><b>Definition:</b> timlCNNReadFromFile.c:57</div></div>
280 <div class="ttc" id="group__cnn_html_ga0219ba397301c5fb3eedfb64e62e33bc"><div class="ttname"><a href="group__cnn.html#ga0219ba397301c5fb3eedfb64e62e33bc">timlCNNAddLinearLayer</a></div><div class="ttdeci">int timlCNNAddLinearLayer(timlConvNeuralNetwork *cnn, int dim, timlCNNLinearParams params)</div><div class="ttdoc">Add linear layer. </div><div class="ttdef"><b>Definition:</b> timlCNNAddLinearLayer.c:58</div></div>
281 <div class="ttc" id="group__cnn_html_ga72df82405eb43be8bb75373aaf8ec101"><div class="ttname"><a href="group__cnn.html#ga72df82405eb43be8bb75373aaf8ec101">timlCNNGetParamsNum</a></div><div class="ttdeci">long timlCNNGetParamsNum(timlConvNeuralNetwork *cnn)</div><div class="ttdoc">Get the number of parameters of the cnn. </div><div class="ttdef"><b>Definition:</b> timlCNNGetParamsNum.c:55</div></div>
282 <div class="ttc" id="group__cnn_html_ga253033ab06b21f2bf28301bc1e53c419"><div class="ttname"><a href="group__cnn.html#ga253033ab06b21f2bf28301bc1e53c419">timlCNNAddInputLayer</a></div><div class="ttdeci">int timlCNNAddInputLayer(timlConvNeuralNetwork *cnn, int featureMapRow, int featureMapCol, int featureMapChannel, timlCNNInputParams params)</div><div class="ttdoc">Add input layer. </div><div class="ttdef"><b>Definition:</b> timlCNNAddInputLayer.c:60</div></div>
283 <div class="ttc" id="group__cnn_html_ga5af48b599237f48f016ce2060c6053e1"><div class="ttname"><a href="group__cnn.html#ga5af48b599237f48f016ce2060c6053e1">timlCNNDelete</a></div><div class="ttdeci">int timlCNNDelete(timlConvNeuralNetwork *cnn)</div><div class="ttdoc">Free a cnn structure. </div><div class="ttdef"><b>Definition:</b> timlCNNDelete.c:56</div></div>
284 <div class="ttc" id="group__cnn_html_ga7627fe7a5294d7c8cac75d974b78a27a"><div class="ttname"><a href="group__cnn.html#ga7627fe7a5294d7c8cac75d974b78a27a">timlCNNAddNormLayer</a></div><div class="ttdeci">int timlCNNAddNormLayer(timlConvNeuralNetwork *cnn, timlCNNNormParams params)</div><div class="ttdoc">Add normalization layer. </div><div class="ttdef"><b>Definition:</b> timlCNNAddNormLayer.c:57</div></div>
285 <div class="ttc" id="structtimlCNNPoolingParams_html"><div class="ttname"><a href="structtimlCNNPoolingParams.html">timlCNNPoolingParams</a></div><div class="ttdef"><b>Definition:</b> timlCNN.h:119</div></div>
286 <div class="ttc" id="structtimlCNNNonlinearParams_html"><div class="ttname"><a href="structtimlCNNNonlinearParams.html">timlCNNNonlinearParams</a></div><div class="ttdef"><b>Definition:</b> timlCNN.h:188</div></div>
287 <div class="ttc" id="group__cnn_html_ga123557b8025497fe266d58d80ee9983b"><div class="ttname"><a href="group__cnn.html#ga123557b8025497fe266d58d80ee9983b">timlCNNPrint</a></div><div class="ttdeci">int timlCNNPrint(timlConvNeuralNetwork *cnn)</div><div class="ttdoc">Print out the information of the cnn. </div><div class="ttdef"><b>Definition:</b> timlCNNPrint.c:56</div></div>
288 <div class="ttc" id="group__cnn_html_ga78addba765ea7dd8bf958d19d42be931"><div class="ttname"><a href="group__cnn.html#ga78addba765ea7dd8bf958d19d42be931">timlCNNResize</a></div><div class="ttdeci">int timlCNNResize(timlConvNeuralNetwork *cnn, int row, int col, int channel)</div><div class="ttdoc">Resize the feature map sizes to accommodate new input feature map dimensions. </div><div class="ttdef"><b>Definition:</b> timlCNNResize.c:60</div></div>
289 <div class="ttc" id="group__cnn_html_gad5c8fd10f11ccaa8142a665fc8ee93b8"><div class="ttname"><a href="group__cnn.html#gad5c8fd10f11ccaa8142a665fc8ee93b8">timlCNNLinearParamsDefault</a></div><div class="ttdeci">timlCNNLinearParams timlCNNLinearParamsDefault()</div><div class="ttdoc">Return the default parameters for the linear layer. </div><div class="ttdef"><b>Definition:</b> timlCNNLinearParamsDefault.c:54</div></div>
290 <div class="ttc" id="group__cnn_html_ga71b91e772f1e63528e53a6284ba7b879"><div class="ttname"><a href="group__cnn.html#ga71b91e772f1e63528e53a6284ba7b879">timlCNNInputParamsDefault</a></div><div class="ttdeci">timlCNNInputParams timlCNNInputParamsDefault()</div><div class="ttdoc">Return the default parameters for the input layer. </div><div class="ttdef"><b>Definition:</b> timlCNNInputParamsDefault.c:55</div></div>
291 <div class="ttc" id="structtimlCNNInputParams_html"><div class="ttname"><a href="structtimlCNNInputParams.html">timlCNNInputParams</a></div><div class="ttdef"><b>Definition:</b> timlCNN.h:201</div></div>
292 <div class="ttc" id="group__cnn_html_gae988ef172bde701db59b1cfc33dd50ab"><div class="ttname"><a href="group__cnn.html#gae988ef172bde701db59b1cfc33dd50ab">timlCNNAddDropoutLayer</a></div><div class="ttdeci">int timlCNNAddDropoutLayer(timlConvNeuralNetwork *cnn, float prob)</div><div class="ttdoc">Add dropout layer. </div><div class="ttdef"><b>Definition:</b> timlCNNAddDropoutLayer.c:57</div></div>
293 <div class="ttc" id="group__cnn_html_gafda5077b0d39c278469278b37f845aed"><div class="ttname"><a href="group__cnn.html#gafda5077b0d39c278469278b37f845aed">timlCNNClassifyTop1SingleMode</a></div><div class="ttdeci">int timlCNNClassifyTop1SingleMode(timlConvNeuralNetwork *cnn, float *data, int dim)</div><div class="ttdoc">Classify the data. </div><div class="ttdef"><b>Definition:</b> timlCNNClassifyTop1SingleMode.c:58</div></div>
294 <div class="ttc" id="group__cnn_html_gad7f3f988c763fe5a80826439c9fb08bd"><div class="ttname"><a href="group__cnn.html#gad7f3f988c763fe5a80826439c9fb08bd">timlCNNWriteToFile</a></div><div class="ttdeci">int timlCNNWriteToFile(const char *fileName, timlConvNeuralNetwork *cnn, timlUtilParamsLevel paramsLevel, const char *name, const char *floatFormat, const char *intFormat)</div><div class="ttdoc">Write the cnn to file(s) </div><div class="ttdef"><b>Definition:</b> timlCNNWriteToFile.c:61</div></div>
295 <div class="ttc" id="group__cnn_html_ga21bc0c855cb658f51fe5d6911acddb54"><div class="ttname"><a href="group__cnn.html#ga21bc0c855cb658f51fe5d6911acddb54">timlCNNReset</a></div><div class="ttdeci">int timlCNNReset(timlConvNeuralNetwork *cnn)</div><div class="ttdoc">Reset the parameters of the CNN. </div><div class="ttdef"><b>Definition:</b> timlCNNReset.c:56</div></div>
296 <div class="ttc" id="group__cnn_html_ga2e8a7e765f885a236e40dfaed59913c6"><div class="ttname"><a href="group__cnn.html#ga2e8a7e765f885a236e40dfaed59913c6">timlCNNMemory</a></div><div class="ttdeci">long timlCNNMemory(timlConvNeuralNetwork *cnn)</div><div class="ttdoc">Return the memory in bytes required by the cnn. </div><div class="ttdef"><b>Definition:</b> timlCNNMemory.c:56</div></div>
297 <div class="ttc" id="group__cnn_html_gaddfd98d23613318bdc368eac98fddf0b"><div class="ttname"><a href="group__cnn.html#gaddfd98d23613318bdc368eac98fddf0b">timlCNNAddNonlinearLayer</a></div><div class="ttdeci">int timlCNNAddNonlinearLayer(timlConvNeuralNetwork *cnn, timlUtilActivationType type)</div><div class="ttdoc">Add nonlinear layer. </div><div class="ttdef"><b>Definition:</b> timlCNNAddNonlinearLayer.c:57</div></div>
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