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 117 <div class="title">BatchNormalizationLayerFixture.h</div>  </div>
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 120 <a href="benchmark_2fixtures_2_batch_normalization_layer_fixture_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) 2017-2018 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_BATCHNORMALIZATIONLAYERFIXTURE</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor">#define ARM_COMPUTE_TEST_BATCHNORMALIZATIONLAYERFIXTURE</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="_tensor_shape_8h.xhtml">arm_compute/core/TensorShape.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</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="l00029"></a><span class="lineno">   29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_globals_8h.xhtml">tests/Globals.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="tests_2_utils_8h.xhtml">tests/Utils.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="_fixture_8h.xhtml">tests/framework/Fixture.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="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;{</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="keyword">namespace </span>test</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;{</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> TensorType, <span class="keyword">typename</span> Function, <span class="keyword">typename</span> Accessor&gt;</div><div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml">   39</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml">BatchNormalizationLayerFixture</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1_fixture.xhtml">framework::Fixture</a></div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;{</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span>...&gt;</div><div class="line"><a name="l00043"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml#a7a0ea2fd1c0a23d8b2ab0f6d52650915">   43</a></span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml#a7a0ea2fd1c0a23d8b2ab0f6d52650915">setup</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> tensor_shape, <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> param_shape, <span class="keywordtype">float</span> epsilon, <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> act_info, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, <span class="keywordtype">int</span> batches)</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;    {</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;        <span class="comment">// Set batched in source and destination shapes</span></div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> fixed_point_position = 4;</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;        tensor_shape.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a3095e0ccbbc39daf5b3816193edca6ad">set</a>(tensor_shape.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>(), batches);</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;        <span class="comment">// Create tensors</span></div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;        src      = create_tensor&lt;TensorType&gt;(tensor_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position);</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;        dst      = create_tensor&lt;TensorType&gt;(tensor_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position);</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;        mean     = create_tensor&lt;TensorType&gt;(param_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position);</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;        variance = create_tensor&lt;TensorType&gt;(param_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position);</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;        beta     = create_tensor&lt;TensorType&gt;(param_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position);</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;        gamma    = create_tensor&lt;TensorType&gt;(param_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position);</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="comment">// Create and configure function</span></div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;        batch_norm_layer.configure(&amp;src, &amp;dst, &amp;mean, &amp;variance, &amp;beta, &amp;gamma, epsilon, act_info);</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;        <span class="comment">// Allocate tensors</span></div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;        src.allocator()-&gt;allocate();</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;        dst.allocator()-&gt;allocate();</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;        mean.allocator()-&gt;allocate();</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;        variance.allocator()-&gt;allocate();</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;        beta.allocator()-&gt;allocate();</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;        gamma.allocator()-&gt;allocate();</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    }</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;</div><div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml#a13a43e6d814de94978c515cb084873b1">   69</a></span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml#a13a43e6d814de94978c515cb084873b1">run</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;        batch_norm_layer.run();</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;    }</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;</div><div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml#ad55f80ed3cd8b6c4f247763b747016af">   74</a></span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml#ad55f80ed3cd8b6c4f247763b747016af">sync</a>()</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;        sync_if_necessary&lt;TensorType&gt;();</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;        sync_tensor_if_necessary&lt;TensorType&gt;(dst);</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;</div><div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml#a4adab6322a0276f34a7d656d49fc865c">   80</a></span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml#a4adab6322a0276f34a7d656d49fc865c">teardown</a>()</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">   82</span>&#160;        src.allocator()-&gt;free();</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;        dst.allocator()-&gt;free();</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;        mean.allocator()-&gt;free();</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;        variance.allocator()-&gt;free();</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;        beta.allocator()-&gt;free();</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;        gamma.allocator()-&gt;free();</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    }</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;    TensorType src{};</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;    TensorType dst{};</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;    TensorType mean{};</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;    TensorType variance{};</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;    TensorType beta{};</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;    TensorType gamma{};</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    Function   batch_norm_layer{};</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;};</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;} <span class="comment">// namespace test</span></div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* ARM_COMPUTE_TEST_BATCHNORMALIZATIONLAYERFIXTURE */</span><span class="preprocessor"></span></div><div class="ttc" id="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture_xhtml_a13a43e6d814de94978c515cb084873b1"><div class="ttname"><a href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml#a13a43e6d814de94978c515cb084873b1">arm_compute::test::BatchNormalizationLayerFixture::run</a></div><div class="ttdeci">void run()</div><div class="ttdef"><b>Definition:</b> <a href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml#l00069">BatchNormalizationLayerFixture.h:69</a></div></div>
 121 <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#l00039">TensorShape.h:39</a></div></div>
 122 <div class="ttc" id="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml">arm_compute::test::BatchNormalizationLayerFixture</a></div><div class="ttdoc">Fixture that can be used for NEON and CL. </div><div class="ttdef"><b>Definition:</b> <a href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml#l00039">BatchNormalizationLayerFixture.h:39</a></div></div>
 123 <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml">arm_compute::ActivationLayerInfo</a></div><div class="ttdoc">Activation Layer Information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00701">Types.h:701</a></div></div>
 124 <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00001">00_introduction.dox:1</a></div></div>
 125 <div class="ttc" id="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture_xhtml_a7a0ea2fd1c0a23d8b2ab0f6d52650915"><div class="ttname"><a href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml#a7a0ea2fd1c0a23d8b2ab0f6d52650915">arm_compute::test::BatchNormalizationLayerFixture::setup</a></div><div class="ttdeci">void setup(TensorShape tensor_shape, TensorShape param_shape, float epsilon, ActivationLayerInfo act_info, DataType data_type, int batches)</div><div class="ttdef"><b>Definition:</b> <a href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml#l00043">BatchNormalizationLayerFixture.h:43</a></div></div>
 126 <div class="ttc" id="classarm__compute_1_1test_1_1framework_1_1_fixture_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1framework_1_1_fixture.xhtml">arm_compute::test::framework::Fixture</a></div><div class="ttdoc">Abstract fixture class. </div><div class="ttdef"><b>Definition:</b> <a href="_fixture_8h_source.xhtml#l00037">Fixture.h:37</a></div></div>
 127 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ac2ad7f431e3446fddcd9b6b9f93c4c14"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">arm_compute::test::validation::data_type</a></div><div class="ttdeci">data_type</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00116">GEMM.cpp:116</a></div></div>
 128 <div class="ttc" id="_globals_8h_xhtml"><div class="ttname"><a href="_globals_8h.xhtml">Globals.h</a></div></div>
 129 <div class="ttc" id="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture_xhtml_ad55f80ed3cd8b6c4f247763b747016af"><div class="ttname"><a href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml#ad55f80ed3cd8b6c4f247763b747016af">arm_compute::test::BatchNormalizationLayerFixture::sync</a></div><div class="ttdeci">void sync()</div><div class="ttdef"><b>Definition:</b> <a href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml#l00074">BatchNormalizationLayerFixture.h:74</a></div></div>
 130 <div class="ttc" id="tests_2_utils_8h_xhtml"><div class="ttname"><a href="tests_2_utils_8h.xhtml">Utils.h</a></div></div>
 131 <div class="ttc" id="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture_xhtml_a4adab6322a0276f34a7d656d49fc865c"><div class="ttname"><a href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml#a4adab6322a0276f34a7d656d49fc865c">arm_compute::test::BatchNormalizationLayerFixture::teardown</a></div><div class="ttdeci">void teardown()</div><div class="ttdef"><b>Definition:</b> <a href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml#l00080">BatchNormalizationLayerFixture.h:80</a></div></div>
 132 <div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml_a3095e0ccbbc39daf5b3816193edca6ad"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml#a3095e0ccbbc39daf5b3816193edca6ad">arm_compute::TensorShape::set</a></div><div class="ttdeci">TensorShape &amp; set(size_t dimension, size_t value)</div><div class="ttdoc">Accessor to set the value of one of the dimensions. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00077">TensorShape.h:77</a></div></div>
 133 <div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a0f59f175e7682c7ed5f4ea30ef687834"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">arm_compute::Dimensions::num_dimensions</a></div><div class="ttdeci">unsigned int num_dimensions() const </div><div class="ttdoc">Returns the effective dimensionality of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00122">Dimensions.h:122</a></div></div>
 134 <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>
 135 <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdoc">Available data types. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00072">Types.h:72</a></div></div>
 136 <div class="ttc" id="_tensor_shape_8h_xhtml"><div class="ttname"><a href="_tensor_shape_8h.xhtml">TensorShape.h</a></div></div>
 137 <div class="ttc" id="_fixture_8h_xhtml"><div class="ttname"><a href="_fixture_8h.xhtml">Fixture.h</a></div></div>
 138 </div><!-- fragment --></div><!-- contents -->
 139 </div><!-- doc-content -->
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 142   <ul>
 143     <li class="navelem"><a class="el" href="dir_59425e443f801f1f2fd8bbe4959a3ccf.xhtml">tests</a></li><li class="navelem"><a class="el" href="dir_4f2df8950dc650bf7cf9176fae02facc.xhtml">benchmark</a></li><li class="navelem"><a class="el" href="dir_2c6de6ea34a07f1d39b21bbdca535ee0.xhtml">fixtures</a></li><li class="navelem"><a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h.xhtml">BatchNormalizationLayerFixture.h</a></li>
 144     <li class="footer">Generated on Fri Mar 2 2018 12:37:54 for Compute Library by
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 146     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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