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 115 <div class="title">BatchNormalizationLayer.cpp</div>  </div>
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 141 <div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="tests_2validation_2_c_p_p_2_batch_normalization_layer_8h.xhtml">BatchNormalizationLayer.h</a>&quot;</span></div>
 142 <div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;</div>
 143 <div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="tests_2validation_2_fixed_point_8h.xhtml">tests/validation/FixedPoint.h</a>&quot;</span></div>
 144 <div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="tests_2validation_2_helpers_8h.xhtml">tests/validation/Helpers.h</a>&quot;</span></div>
 145 <div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;</div>
 146 <div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="keyword">namespace </span>arm_compute</div>
 147 <div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;{</div>
 148 <div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="keyword">namespace </span>test</div>
 149 <div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;{</div>
 150 <div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="keyword">namespace </span>validation</div>
 151 <div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;{</div>
 152 <div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="keyword">namespace </span>reference</div>
 153 <div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;{</div>
 154 <div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="comment">// Batch Normalization Layer for fixed point type</span></div>
 155 <div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">template &lt;typename T, typename std::enable_if&lt;std::is_integral&lt;T&gt;::value</a>, <span class="keywordtype">int</span>&gt;<a class="code" href="namespacemali__userspace.xhtml#ad44b615021ed3ccb734fcaf583ef4a03">::type</a> *&gt;</div>
 156 <div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a7dc3318ccd1a590cd13f67d0b7133eb5">   39</a></span>&#160;<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a7dc3318ccd1a590cd13f67d0b7133eb5">batch_normalization_layer</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> &amp;src, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> &amp;mean, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> &amp;var, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> &amp;beta, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> &amp;gamma, <span class="keywordtype">float</span> epsilon,</div>
 157 <div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;                                          <span class="keywordtype">int</span> fixed_point_position)</div>
 158 <div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;{</div>
 159 <div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> result(src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>(), src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>());</div>
 160 <div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;</div>
 161 <div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> cols       = <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0]);</div>
 162 <div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> rows       = <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[1]);</div>
 163 <div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> depth      = <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[2]);</div>
 164 <div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;    <span class="keywordtype">int</span>        upper_dims = src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().total_size() / (cols * rows * depth);</div>
 165 <div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;</div>
 166 <div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">int</span> r = 0; r &lt; upper_dims; ++r)</div>
 167 <div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;    {</div>
 168 <div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;        <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = 0; i &lt; depth; ++i)</div>
 169 <div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;        {</div>
 170 <div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;            <span class="keywordflow">for</span>(<span class="keywordtype">int</span> k = 0; k &lt; rows; ++k)</div>
 171 <div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;            {</div>
 172 <div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;                <span class="keywordflow">for</span>(<span class="keywordtype">int</span> l = 0; l &lt; cols; ++l)</div>
 173 <div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;                {</div>
 174 <div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;                    <span class="keyword">const</span> <span class="keywordtype">int</span> pos = l + k * cols + i * rows * cols + r * cols * rows * depth;</div>
 175 <div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;</div>
 176 <div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;                    <a class="code" href="classarm__compute_1_1test_1_1fixed__point__arithmetic_1_1fixed__point.xhtml">fixed_point_arithmetic::fixed_point&lt;T&gt;</a> src_qs(src[pos], fixed_point_position, <span class="keyword">true</span>);</div>
 177 <div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;                    <a class="code" href="classarm__compute_1_1test_1_1fixed__point__arithmetic_1_1fixed__point.xhtml">fixed_point_arithmetic::fixed_point&lt;T&gt;</a> var_qs(var[i], fixed_point_position, <span class="keyword">true</span>);</div>
 178 <div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;                    <a class="code" href="classarm__compute_1_1test_1_1fixed__point__arithmetic_1_1fixed__point.xhtml">fixed_point_arithmetic::fixed_point&lt;T&gt;</a> mean_qs(mean[i], fixed_point_position, <span class="keyword">true</span>);</div>
 179 <div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;                    <a class="code" href="classarm__compute_1_1test_1_1fixed__point__arithmetic_1_1fixed__point.xhtml">fixed_point_arithmetic::fixed_point&lt;T&gt;</a> beta_qs(beta[i], fixed_point_position, <span class="keyword">true</span>);</div>
 180 <div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;                    <a class="code" href="classarm__compute_1_1test_1_1fixed__point__arithmetic_1_1fixed__point.xhtml">fixed_point_arithmetic::fixed_point&lt;T&gt;</a> gamma_qs(gamma[i], fixed_point_position, <span class="keyword">true</span>);</div>
 181 <div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;                    <a class="code" href="classarm__compute_1_1test_1_1fixed__point__arithmetic_1_1fixed__point.xhtml">fixed_point_arithmetic::fixed_point&lt;T&gt;</a> epsilon_qs(epsilon, fixed_point_position);</div>
 182 <div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;</div>
 183 <div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;                    <span class="keyword">auto</span> denominator = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a2b7623d9dd3fde1d0a3bbe034967cff5">fixed_point_arithmetic::inv_sqrt</a>(var_qs + epsilon_qs);</div>
 184 <div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;                    <span class="keyword">auto</span> numerator   = src_qs - mean_qs;</div>
 185 <div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;                    <span class="keyword">auto</span> x_bar       = numerator * denominator;</div>
 186 <div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;                    x_bar            = beta_qs + x_bar * gamma_qs;</div>
 187 <div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;                    result[pos]      = x_bar.<a class="code" href="classarm__compute_1_1test_1_1fixed__point__arithmetic_1_1fixed__point.xhtml#a3fe723fdc332e453550710b2925002a0">raw</a>();</div>
 188 <div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;                }</div>
 189 <div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;            }</div>
 190 <div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;        }</div>
 191 <div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;    }</div>
 192 <div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;</div>
 193 <div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;    <span class="keywordflow">return</span> result;</div>
 194 <div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;}</div>
 195 <div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;</div>
 196 <div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;<span class="comment">// Batch Normalization Layer for floating point type</span></div>
 197 <div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">template &lt;typename T, typename std::enable_if&lt;is_floating_point&lt;T&gt;::value</a>, <span class="keywordtype">int</span>&gt;<a class="code" href="namespacemali__userspace.xhtml#ad44b615021ed3ccb734fcaf583ef4a03">::type</a> *&gt;</div>
 198 <div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a7dc3318ccd1a590cd13f67d0b7133eb5">batch_normalization_layer</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> &amp;src, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> &amp;mean, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> &amp;var, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> &amp;beta, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> &amp;gamma, <span class="keywordtype">float</span> epsilon,</div>
 199 <div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;                                          <span class="keywordtype">int</span> fixed_point_position)</div>
 200 <div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;{</div>
 201 <div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;    <a class="code" href="_error_8h.xhtml#a4103adbb45806b2f2002d44b91d0d206">ARM_COMPUTE_UNUSED</a>(fixed_point_position);</div>
 202 <div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;</div>
 203 <div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> result(src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>(), src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>());</div>
 204 <div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;</div>
 205 <div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> cols       = <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0]);</div>
 206 <div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> rows       = <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[1]);</div>
 207 <div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> depth      = <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[2]);</div>
 208 <div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;    <span class="keywordtype">int</span>        upper_dims = src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().total_size() / (cols * rows * depth);</div>
 209 <div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;</div>
 210 <div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">int</span> r = 0; r &lt; upper_dims; ++r)</div>
 211 <div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;    {</div>
 212 <div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;        <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = 0; i &lt; depth; ++i)</div>
 213 <div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;        {</div>
 214 <div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;            <span class="keywordflow">for</span>(<span class="keywordtype">int</span> k = 0; k &lt; rows; ++k)</div>
 215 <div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;            {</div>
 216 <div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;                <span class="keywordflow">for</span>(<span class="keywordtype">int</span> l = 0; l &lt; cols; ++l)</div>
 217 <div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;                {</div>
 218 <div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;                    <span class="keyword">const</span> <span class="keywordtype">int</span>   pos         = l + k * cols + i * rows * cols + r * cols * rows * depth;</div>
 219 <div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;                    <span class="keyword">const</span> <span class="keywordtype">float</span> denominator = sqrt(var[i] + epsilon);</div>
 220 <div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;                    <span class="keyword">const</span> <span class="keywordtype">float</span> numerator   = src[pos] - mean[i];</div>
 221 <div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;                    <span class="keyword">const</span> <span class="keywordtype">float</span> x_bar       = numerator / denominator;</div>
 222 <div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;                    result[pos]             = beta[i] + x_bar * gamma[i];</div>
 223 <div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;                }</div>
 224 <div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;            }</div>
 225 <div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;        }</div>
 226 <div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;    }</div>
 227 <div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;    <span class="keywordflow">return</span> result;</div>
 228 <div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;}</div>
 229 <div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;<span class="keyword">template</span> SimpleTensor&lt;float&gt; <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a7dc3318ccd1a590cd13f67d0b7133eb5">batch_normalization_layer</a>(<span class="keyword">const</span> SimpleTensor&lt;float&gt; &amp;src, <span class="keyword">const</span> SimpleTensor&lt;float&gt; &amp;mean, <span class="keyword">const</span> SimpleTensor&lt;float&gt; &amp;var, <span class="keyword">const</span> SimpleTensor&lt;float&gt; &amp;beta,</div>
 230 <div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;                                                       <span class="keyword">const</span> SimpleTensor&lt;float&gt; &amp;gamma, <span class="keywordtype">float</span> epsilon, <span class="keywordtype">int</span> fixed_point_position);</div>
 231 <div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;<span class="keyword">template</span> SimpleTensor&lt;int8_t&gt; <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a7dc3318ccd1a590cd13f67d0b7133eb5">batch_normalization_layer</a>(<span class="keyword">const</span> SimpleTensor&lt;int8_t&gt; &amp;src, <span class="keyword">const</span> SimpleTensor&lt;int8_t&gt; &amp;mean, <span class="keyword">const</span> SimpleTensor&lt;int8_t&gt; &amp;var, <span class="keyword">const</span> SimpleTensor&lt;int8_t&gt; &amp;beta,</div>
 232 <div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;                                                        <span class="keyword">const</span> SimpleTensor&lt;int8_t&gt; &amp;gamma, <span class="keywordtype">float</span> epsilon, <span class="keywordtype">int</span> fixed_point_position);</div>
 233 <div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;<span class="keyword">template</span> SimpleTensor&lt;int16_t&gt; <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a7dc3318ccd1a590cd13f67d0b7133eb5">batch_normalization_layer</a>(<span class="keyword">const</span> SimpleTensor&lt;int16_t&gt; &amp;src, <span class="keyword">const</span> SimpleTensor&lt;int16_t&gt; &amp;mean, <span class="keyword">const</span> SimpleTensor&lt;int16_t&gt; &amp;var, <span class="keyword">const</span> SimpleTensor&lt;int16_t&gt; &amp;beta,</div>
 234 <div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;                                                         <span class="keyword">const</span> SimpleTensor&lt;int16_t&gt; &amp;gamma, <span class="keywordtype">float</span> epsilon, <span class="keywordtype">int</span> fixed_point_position);</div>
 235 <div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;<span class="keyword">template</span> SimpleTensor&lt;half&gt; <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a7dc3318ccd1a590cd13f67d0b7133eb5">batch_normalization_layer</a>(<span class="keyword">const</span> SimpleTensor&lt;half&gt; &amp;src, <span class="keyword">const</span> SimpleTensor&lt;half&gt; &amp;mean, <span class="keyword">const</span> SimpleTensor&lt;half&gt; &amp;var,</div>
 236 <div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;                                                      <span class="keyword">const</span> SimpleTensor&lt;half&gt; &amp;beta,</div>
 237 <div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;                                                      <span class="keyword">const</span> SimpleTensor&lt;half&gt; &amp;gamma, <span class="keywordtype">float</span> epsilon, <span class="keywordtype">int</span> fixed_point_position);</div>
 238 <div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;</div>
 239 <div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;} <span class="comment">// namespace reference</span></div>
 240 <div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;} <span class="comment">// namespace validation</span></div>
 241 <div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;} <span class="comment">// namespace test</span></div>
 242 <div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;} <span class="comment">// namespace arm_compute</span></div>
 243 <div class="ttc" id="_error_8h_xhtml_a4103adbb45806b2f2002d44b91d0d206"><div class="ttname"><a href="_error_8h.xhtml#a4103adbb45806b2f2002d44b91d0d206">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(var)</div><div class="ttdoc">To avoid unused variables warnings. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00049">Error.h:49</a></div></div>
 244 <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_a9a3e72153aeb3ed212e9c3698774e881"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a9a3e72153aeb3ed212e9c3698774e881">arm_compute::test::SimpleTensor::data_type</a></div><div class="ttdeci">DataType data_type() const override</div><div class="ttdoc">Data type of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00265">SimpleTensor.h:265</a></div></div>
 245 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_a7dc3318ccd1a590cd13f67d0b7133eb5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a7dc3318ccd1a590cd13f67d0b7133eb5">arm_compute::test::validation::reference::batch_normalization_layer</a></div><div class="ttdeci">SimpleTensor&lt; T &gt; batch_normalization_layer(const SimpleTensor&lt; T &gt; &amp;src, const SimpleTensor&lt; T &gt; &amp;mean, const SimpleTensor&lt; T &gt; &amp;var, const SimpleTensor&lt; T &gt; &amp;beta, const SimpleTensor&lt; T &gt; &amp;gamma, float epsilon, int fixed_point_position)</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_p_p_2_batch_normalization_layer_8cpp_source.xhtml#l00039">BatchNormalizationLayer.cpp:39</a></div></div>
 246 <div class="ttc" id="tests_2validation_2_helpers_8h_xhtml"><div class="ttname"><a href="tests_2validation_2_helpers_8h.xhtml">Helpers.h</a></div></div>
 247 <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_aba5871b3e4a65d057ec1c28fce8b00ba"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">arm_compute::test::SimpleTensor::shape</a></div><div class="ttdeci">TensorShape shape() const override</div><div class="ttdoc">Shape of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00234">SimpleTensor.h:234</a></div></div>
 248 <div class="ttc" id="tests_2validation_2_fixed_point_8h_xhtml"><div class="ttname"><a href="tests_2validation_2_fixed_point_8h.xhtml">FixedPoint.h</a></div></div>
 249 <div class="ttc" id="classarm__compute_1_1test_1_1fixed__point__arithmetic_1_1fixed__point_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1fixed__point__arithmetic_1_1fixed__point.xhtml">arm_compute::test::fixed_point_arithmetic::fixed_point</a></div><div class="ttdoc">Arbitrary fixed-point arithmetic class. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00087">FixedPoint.h:87</a></div></div>
 250 <div class="ttc" id="classarm__compute_1_1test_1_1fixed__point__arithmetic_1_1fixed__point_xhtml_a3fe723fdc332e453550710b2925002a0"><div class="ttname"><a href="classarm__compute_1_1test_1_1fixed__point__arithmetic_1_1fixed__point.xhtml#a3fe723fdc332e453550710b2925002a0">arm_compute::test::fixed_point_arithmetic::fixed_point::raw</a></div><div class="ttdeci">T raw() const </div><div class="ttdoc">Raw value accessor. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00225">FixedPoint.h:225</a></div></div>
 251 <div class="ttc" id="tests_2validation_2_c_p_p_2_batch_normalization_layer_8h_xhtml"><div class="ttname"><a href="tests_2validation_2_c_p_p_2_batch_normalization_layer_8h.xhtml">BatchNormalizationLayer.h</a></div></div>
 252 <div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_a2b7623d9dd3fde1d0a3bbe034967cff5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a2b7623d9dd3fde1d0a3bbe034967cff5">arm_compute::test::fixed_point_arithmetic::detail::inv_sqrt</a></div><div class="ttdeci">fixed_point&lt; T &gt; inv_sqrt(fixed_point&lt; T &gt; x)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00934">FixedPoint.h:934</a></div></div>
 253 <div class="ttc" id="hwc_8hpp_xhtml_a0f61d63b009d0880a89c843bd50d8d76"><div class="ttname"><a href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a></div><div class="ttdeci">void * value</div><div class="ttdef"><b>Definition:</b> <a href="hwc_8hpp_source.xhtml#l00269">hwc.hpp:269</a></div></div>
 254 <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">arm_compute::test::SimpleTensor</a></div><div class="ttdoc">Simple tensor object that stores elements in a consecutive chunk of memory. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00059">SimpleTensor.h:59</a></div></div>
 255 <div class="ttc" id="namespacemali__userspace_xhtml_ad44b615021ed3ccb734fcaf583ef4a03"><div class="ttname"><a href="namespacemali__userspace.xhtml#ad44b615021ed3ccb734fcaf583ef4a03">mali_userspace::type</a></div><div class="ttdeci">uint32_t type</div><div class="ttdef"><b>Definition:</b> <a href="hwc_8hpp_source.xhtml#l00204">hwc.hpp:204</a></div></div>
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 261     <li class="navelem"><a class="el" href="dir_3b4cc335dce0408d77b688e575522aa5.xhtml">tests</a></li><li class="navelem"><a class="el" href="dir_a54a3db5b521d39f12dbe18362fe1216.xhtml">validation</a></li><li class="navelem"><a class="el" href="dir_db9e2079d58d733beb36406e9ab55e7d.xhtml">CPP</a></li><li class="navelem"><a class="el" href="validation_2_c_p_p_2_batch_normalization_layer_8cpp.xhtml">BatchNormalizationLayer.cpp</a></li>
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