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<div class="title">NormalizationLayerDataset.h</div> </div>
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<a href="_normalization_layer_dataset_8h.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment"> * Copyright (c) 2017 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="preprocessor">#ifndef __ARM_COMPUTE_TEST_DATASET_NORMALIZATION_LAYER_DATASET_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<span class="preprocessor">#define __ARM_COMPUTE_TEST_DATASET_NORMALIZATION_LAYER_DATASET_H__</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_type_printer_8h.xhtml">TypePrinter.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_tensor_shape_8h.xhtml">arm_compute/core/TensorShape.h</a>&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_generic_dataset_8h.xhtml">dataset/GenericDataset.h</a>&quot;</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;<span class="preprocessor">#include &lt;sstream&gt;</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="preprocessor">#include &lt;type_traits&gt;</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="preprocessor">#ifdef BOOST</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="boost__wrapper_8h.xhtml">boost_wrapper.h</a>&quot;</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;<span class="preprocessor">#endif</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;{</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;<span class="keyword">namespace </span>test</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;{</div><div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_normalization_layer_data_object.xhtml"> 44</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1_normalization_layer_data_object.xhtml">NormalizationLayerDataObject</a></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160;{</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00047"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_normalization_layer_data_object.xhtml#a7d27cc515e59f676f08d399124be099d"> 47</a></span>&#160; <span class="keyword">operator</span> std::string()<span class="keyword"> const</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; std::stringstream ss;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; ss &lt;&lt; <span class="stringliteral">&quot;NormalizationLayer&quot;</span>;</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; ss &lt;&lt; <span class="stringliteral">&quot;_I&quot;</span> &lt;&lt; <a class="code" href="classarm__compute_1_1test_1_1_normalization_layer_data_object.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; ss &lt;&lt; <span class="stringliteral">&quot;_F_&quot;</span> &lt;&lt; <a class="code" href="classarm__compute_1_1test_1_1_normalization_layer_data_object.xhtml#ad08bf8a9f9999ef93cb154b9596b7e80">info</a>.<a class="code" href="classarm__compute_1_1_normalization_layer_info.xhtml#a39f6445d0b790034f0d8fac36f2eb7f5">type</a>();</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; ss &lt;&lt; <span class="stringliteral">&quot;_S_&quot;</span> &lt;&lt; <a class="code" href="classarm__compute_1_1test_1_1_normalization_layer_data_object.xhtml#ad08bf8a9f9999ef93cb154b9596b7e80">info</a>.<a class="code" href="classarm__compute_1_1_normalization_layer_info.xhtml#a0549be3702c05e6ec1ada69a6d08e349">norm_size</a>();</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <span class="keywordflow">return</span> ss.str();</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; }</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00058"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_normalization_layer_data_object.xhtml#a1fcd64682b37ed3c2098d0094ce788d8"> 58</a></span>&#160; <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="classarm__compute_1_1test_1_1_normalization_layer_data_object.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>;</div><div class="line"><a name="l00059"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_normalization_layer_data_object.xhtml#ad08bf8a9f9999ef93cb154b9596b7e80"> 59</a></span>&#160; <a class="code" href="classarm__compute_1_1_normalization_layer_info.xhtml">NormalizationLayerInfo</a> <a class="code" href="classarm__compute_1_1test_1_1_normalization_layer_data_object.xhtml#ad08bf8a9f9999ef93cb154b9596b7e80">info</a>;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;};</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;<span class="keyword">template</span> &lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> Size&gt;</div><div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test.xhtml#a62dd75dba5587b539e722ea857347c26"> 63</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1test_1_1_generic_dataset.xhtml">NormalizationLayerDataset</a> = <a class="code" href="classarm__compute_1_1test_1_1_generic_dataset.xhtml">GenericDataset&lt;NormalizationLayerDataObject, Size&gt;</a>;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;</div><div class="line"><a name="l00065"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_goog_le_net_normalization_layer_dataset.xhtml"> 65</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1_goog_le_net_normalization_layer_dataset.xhtml">GoogLeNetNormalizationLayerDataset</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1_generic_dataset.xhtml">NormalizationLayerDataset</a>&lt;2&gt;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160;{</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_goog_le_net_normalization_layer_dataset.xhtml#a7a6a58ca4e08f67750f459945fe0f24a"> 68</a></span>&#160; <a class="code" href="classarm__compute_1_1test_1_1_goog_le_net_normalization_layer_dataset.xhtml#a7a6a58ca4e08f67750f459945fe0f24a">GoogLeNetNormalizationLayerDataset</a>()</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; : <a class="code" href="classarm__compute_1_1test_1_1_generic_dataset.xhtml">GenericDataset</a></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; {</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <span class="comment">// conv2/norm2</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <a class="code" href="classarm__compute_1_1test_1_1_normalization_layer_data_object.xhtml">NormalizationLayerDataObject</a>{ <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(56<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 56<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 192<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_normalization_layer_info.xhtml">NormalizationLayerInfo</a>(<a class="code" href="namespacearm__compute.xhtml#ad4bb8dabdbf8ad75e34220cc666b59caa980fef040549733973683b1a868f96e5">NormType::CROSS_MAP</a>, 5, 0.0001f, 0.75f) },</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <span class="comment">// pool1/norm1</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <a class="code" href="classarm__compute_1_1test_1_1_normalization_layer_data_object.xhtml">NormalizationLayerDataObject</a>{ <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(56<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 56<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 64<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_normalization_layer_info.xhtml">NormalizationLayerInfo</a>(<a class="code" href="namespacearm__compute.xhtml#ad4bb8dabdbf8ad75e34220cc666b59caa980fef040549733973683b1a868f96e5">NormType::CROSS_MAP</a>, 5, 0.0001f, 0.75f) }</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; }</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; {</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; }</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; ~<a class="code" href="classarm__compute_1_1test_1_1_goog_le_net_normalization_layer_dataset.xhtml">GoogLeNetNormalizationLayerDataset</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160;};</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160;</div><div class="line"><a name="l00082"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_alex_net_normalization_layer_dataset.xhtml"> 82</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1_alex_net_normalization_layer_dataset.xhtml">AlexNetNormalizationLayerDataset</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1_generic_dataset.xhtml">NormalizationLayerDataset</a>&lt;2&gt;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;{</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00085"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_alex_net_normalization_layer_dataset.xhtml#a703ee52cdd79f7201ba2b594775a8eb5"> 85</a></span>&#160; <a class="code" href="classarm__compute_1_1test_1_1_alex_net_normalization_layer_dataset.xhtml#a703ee52cdd79f7201ba2b594775a8eb5">AlexNetNormalizationLayerDataset</a>()</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; : <a class="code" href="classarm__compute_1_1test_1_1_generic_dataset.xhtml">GenericDataset</a></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; {</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <a class="code" href="classarm__compute_1_1test_1_1_normalization_layer_data_object.xhtml">NormalizationLayerDataObject</a>{ <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(55<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 55<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 96<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_normalization_layer_info.xhtml">NormalizationLayerInfo</a>(<a class="code" href="namespacearm__compute.xhtml#ad4bb8dabdbf8ad75e34220cc666b59caa980fef040549733973683b1a868f96e5">NormType::CROSS_MAP</a>, 5, 0.0001f, 0.75f) },</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <a class="code" href="classarm__compute_1_1test_1_1_normalization_layer_data_object.xhtml">NormalizationLayerDataObject</a>{ <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(27<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 27<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 256<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_normalization_layer_info.xhtml">NormalizationLayerInfo</a>(<a class="code" href="namespacearm__compute.xhtml#ad4bb8dabdbf8ad75e34220cc666b59caa980fef040549733973683b1a868f96e5">NormType::CROSS_MAP</a>, 5, 0.0001f, 0.75f) },</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; }</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; {</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; }</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; ~<a class="code" href="classarm__compute_1_1test_1_1_alex_net_normalization_layer_dataset.xhtml">AlexNetNormalizationLayerDataset</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160;};</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160;</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160;} <span class="comment">// namespace test</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160;<span class="preprocessor">#endif //__ARM_COMPUTE_TEST_DATASET_NORMALIZATION_LAYER_DATASET_H__</span></div><div class="ttc" id="classarm__compute_1_1test_1_1_normalization_layer_data_object_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_normalization_layer_data_object.xhtml">arm_compute::test::NormalizationLayerDataObject</a></div><div class="ttdef"><b>Definition:</b> <a href="_normalization_layer_dataset_8h_source.xhtml#l00044">NormalizationLayerDataset.h:44</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00038">TensorShape.h:38</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_generic_dataset_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_generic_dataset.xhtml">arm_compute::test::GenericDataset</a></div><div class="ttdoc">Abstract data set containing multiple objects T. </div><div class="ttdef"><b>Definition:</b> <a href="_generic_dataset_8h_source.xhtml#l00046">GenericDataset.h:46</a></div></div>
<div class="ttc" id="classarm__compute_1_1_normalization_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_normalization_layer_info.xhtml">arm_compute::NormalizationLayerInfo</a></div><div class="ttdoc">Normalization Layer Information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00506">Types.h:506</a></div></div>
<div class="ttc" id="classarm__compute_1_1_normalization_layer_info_xhtml_a39f6445d0b790034f0d8fac36f2eb7f5"><div class="ttname"><a href="classarm__compute_1_1_normalization_layer_info.xhtml#a39f6445d0b790034f0d8fac36f2eb7f5">arm_compute::NormalizationLayerInfo::type</a></div><div class="ttdeci">NormType type() const </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00521">Types.h:521</a></div></div>
<div class="ttc" id="classarm__compute_1_1_normalization_layer_info_xhtml_a0549be3702c05e6ec1ada69a6d08e349"><div class="ttname"><a href="classarm__compute_1_1_normalization_layer_info.xhtml#a0549be3702c05e6ec1ada69a6d08e349">arm_compute::NormalizationLayerInfo::norm_size</a></div><div class="ttdeci">uint32_t norm_size() const </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00525">Types.h:525</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_normalization_layer_data_object_xhtml_a1fcd64682b37ed3c2098d0094ce788d8"><div class="ttname"><a href="classarm__compute_1_1test_1_1_normalization_layer_data_object.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">arm_compute::test::NormalizationLayerDataObject::shape</a></div><div class="ttdeci">TensorShape shape</div><div class="ttdef"><b>Definition:</b> <a href="_normalization_layer_dataset_8h_source.xhtml#l00058">NormalizationLayerDataset.h:58</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_alex_net_normalization_layer_dataset_xhtml_a703ee52cdd79f7201ba2b594775a8eb5"><div class="ttname"><a href="classarm__compute_1_1test_1_1_alex_net_normalization_layer_dataset.xhtml#a703ee52cdd79f7201ba2b594775a8eb5">arm_compute::test::AlexNetNormalizationLayerDataset::AlexNetNormalizationLayerDataset</a></div><div class="ttdeci">AlexNetNormalizationLayerDataset()</div><div class="ttdef"><b>Definition:</b> <a href="_normalization_layer_dataset_8h_source.xhtml#l00085">NormalizationLayerDataset.h:85</a></div></div>
<div class="ttc" id="_generic_dataset_8h_xhtml"><div class="ttname"><a href="_generic_dataset_8h.xhtml">GenericDataset.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_goog_le_net_normalization_layer_dataset_xhtml_a7a6a58ca4e08f67750f459945fe0f24a"><div class="ttname"><a href="classarm__compute_1_1test_1_1_goog_le_net_normalization_layer_dataset.xhtml#a7a6a58ca4e08f67750f459945fe0f24a">arm_compute::test::GoogLeNetNormalizationLayerDataset::GoogLeNetNormalizationLayerDataset</a></div><div class="ttdeci">GoogLeNetNormalizationLayerDataset()</div><div class="ttdef"><b>Definition:</b> <a href="_normalization_layer_dataset_8h_source.xhtml#l00068">NormalizationLayerDataset.h:68</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdef"><b>Definition:</b> <a href="01__library_8dox_source.xhtml#l00001">01_library.dox:1</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_alex_net_normalization_layer_dataset_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_alex_net_normalization_layer_dataset.xhtml">arm_compute::test::AlexNetNormalizationLayerDataset</a></div><div class="ttdef"><b>Definition:</b> <a href="_normalization_layer_dataset_8h_source.xhtml#l00082">NormalizationLayerDataset.h:82</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_normalization_layer_data_object_xhtml_ad08bf8a9f9999ef93cb154b9596b7e80"><div class="ttname"><a href="classarm__compute_1_1test_1_1_normalization_layer_data_object.xhtml#ad08bf8a9f9999ef93cb154b9596b7e80">arm_compute::test::NormalizationLayerDataObject::info</a></div><div class="ttdeci">NormalizationLayerInfo info</div><div class="ttdef"><b>Definition:</b> <a href="_normalization_layer_dataset_8h_source.xhtml#l00059">NormalizationLayerDataset.h:59</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb"><div class="ttname"><a href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">arm_compute::Channel::U</a></div><div class="ttdoc">Cb/U channel. </div></div>
<div class="ttc" id="_type_printer_8h_xhtml"><div class="ttname"><a href="_type_printer_8h.xhtml">TypePrinter.h</a></div></div>
<div class="ttc" id="boost__wrapper_8h_xhtml"><div class="ttname"><a href="boost__wrapper_8h.xhtml">boost_wrapper.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_goog_le_net_normalization_layer_dataset_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_goog_le_net_normalization_layer_dataset.xhtml">arm_compute::test::GoogLeNetNormalizationLayerDataset</a></div><div class="ttdef"><b>Definition:</b> <a href="_normalization_layer_dataset_8h_source.xhtml#l00065">NormalizationLayerDataset.h:65</a></div></div>
<div class="ttc" id="arm__compute_2core_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_types_8h.xhtml">Types.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad4bb8dabdbf8ad75e34220cc666b59caa980fef040549733973683b1a868f96e5"><div class="ttname"><a href="namespacearm__compute.xhtml#ad4bb8dabdbf8ad75e34220cc666b59caa980fef040549733973683b1a868f96e5">arm_compute::NormType::CROSS_MAP</a></div><div class="ttdoc">Normalization applied cross maps. </div></div>
<div class="ttc" id="_tensor_shape_8h_xhtml"><div class="ttname"><a href="_tensor_shape_8h.xhtml">TensorShape.h</a></div></div>
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