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 117 <div class="title">BatchNormalizationLayerFixture.h</div>  </div>
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 120 <a href="validation_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_BATCH_NORMALIZATION_LAYER_FIXTURE</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor">#define ARM_COMPUTE_TEST_BATCH_NORMALIZATION_LAYER_FIXTURE</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="_assets_library_8h.xhtml">tests/AssetsLibrary.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="_globals_8h.xhtml">tests/Globals.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="_i_accessor_8h.xhtml">tests/IAccessor.h</a>&quot;</span></div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_asserts_8h.xhtml">tests/framework/Asserts.h</a>&quot;</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</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="l00034"></a><span class="lineno">   34</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><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="tests_2validation_2reference_2_batch_normalization_layer_8h.xhtml">tests/validation/reference/BatchNormalizationLayer.h</a>&quot;</span></div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;{</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="keyword">namespace </span>test</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">namespace </span>validation</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;{</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> TensorType, <span class="keyword">typename</span> AccessorType, <span class="keyword">typename</span> FunctionType, <span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_batch_normalization_layer_validation_fixed_point_fixture.xhtml">   44</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1validation_1_1_batch_normalization_layer_validation_fixed_point_fixture.xhtml">BatchNormalizationLayerValidationFixedPointFixture</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="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">   47</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span>...&gt;</div><div class="line"><a name="l00048"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_batch_normalization_layer_validation_fixed_point_fixture.xhtml#a08f022d13db42b94c5f9c35a169ba907">   48</a></span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1test_1_1validation_1_1_batch_normalization_layer_validation_fixed_point_fixture.xhtml#a08f022d13db42b94c5f9c35a169ba907">setup</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> shape0, <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> shape1, <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> dt, <span class="keywordtype">int</span> fractional_bits)</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;    {</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;        _fractional_bits = fractional_bits;</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;        _data_type       = dt;</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;        _target          = compute_target(shape0, shape1, epsilon, act_info, dt, fractional_bits);</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;        _reference       = compute_reference(shape0, shape1, epsilon, act_info, dt, fractional_bits);</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    }</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;<span class="keyword">protected</span>:</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> U&gt;</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;    <span class="keywordtype">void</span> fill(<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> &amp;&amp;src_tensor, <a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> &amp;&amp;mean_tensor, <a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> &amp;&amp;var_tensor, <a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> &amp;&amp;beta_tensor, <a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> &amp;&amp;gamma_tensor)</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="keywordflow">if</span>(<a class="code" href="namespacearm__compute.xhtml#af5982a092e9eb743fce2d6392bdd8897">is_data_type_float</a>(_data_type))</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="keywordtype">float</span> min_bound = 0.f;</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;            <span class="keywordtype">float</span> max_bound = 0.f;</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;            std::tie(min_bound, max_bound) = get_batchnormalization_layer_test_bounds&lt;T&gt;();</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;            std::uniform_real_distribution&lt;&gt; distribution(min_bound, max_bound);</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;            std::uniform_real_distribution&lt;&gt; distribution_var(0, max_bound);</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;            <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>-&gt;fill(src_tensor, distribution, 0);</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;            <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>-&gt;fill(mean_tensor, distribution, 1);</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;            <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>-&gt;fill(var_tensor, distribution_var, 0);</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;            <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>-&gt;fill(beta_tensor, distribution, 3);</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;            <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>-&gt;fill(gamma_tensor, distribution, 4);</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;        <span class="keywordflow">else</span></div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;        {</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;            <span class="keywordtype">int</span> min_bound = 0;</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;            <span class="keywordtype">int</span> max_bound = 0;</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;            std::tie(min_bound, max_bound) = get_batchnormalization_layer_test_bounds&lt;T&gt;(_fractional_bits);</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;            std::uniform_int_distribution&lt;&gt; distribution(min_bound, max_bound);</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;            std::uniform_int_distribution&lt;&gt; distribution_var(0, max_bound);</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;            <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>-&gt;fill(src_tensor, distribution, 0);</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;            <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>-&gt;fill(mean_tensor, distribution, 1);</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;            <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>-&gt;fill(var_tensor, distribution_var, 0);</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;            <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>-&gt;fill(beta_tensor, distribution, 3);</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;            <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>-&gt;fill(gamma_tensor, distribution, 4);</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;        }</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;    }</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;    TensorType compute_target(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;shape0, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;shape1, <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> dt, <span class="keywordtype">int</span> fixed_point_position)</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="comment">// Create tensors</span></div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;        TensorType <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>   = create_tensor&lt;TensorType&gt;(shape0, dt, 1, fixed_point_position);</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;        TensorType <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>   = create_tensor&lt;TensorType&gt;(shape0, dt, 1, fixed_point_position);</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;        TensorType mean  = create_tensor&lt;TensorType&gt;(shape1, dt, 1, fixed_point_position);</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;        TensorType var   = create_tensor&lt;TensorType&gt;(shape1, dt, 1, fixed_point_position);</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;        TensorType <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">beta</a>  = create_tensor&lt;TensorType&gt;(shape1, dt, 1, fixed_point_position);</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;        TensorType gamma = create_tensor&lt;TensorType&gt;(shape1, dt, 1, fixed_point_position);</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;        <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;        FunctionType norm;</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;        norm.configure(&amp;src, &amp;dst, &amp;mean, &amp;var, &amp;beta, &amp;gamma, epsilon, act_info);</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;        <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(src.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;        <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(dst.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;        <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(mean.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;        <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(var.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;        <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(beta.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;        <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(gamma.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;        <span class="comment">// Allocate tensors</span></div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;        src.allocator()-&gt;allocate();</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;        dst.allocator()-&gt;allocate();</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;        mean.allocator()-&gt;allocate();</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;        var.allocator()-&gt;allocate();</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;        beta.allocator()-&gt;allocate();</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;        gamma.allocator()-&gt;allocate();</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;        <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(!src.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;        <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(!dst.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;        <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(!mean.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;        <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(!var.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;        <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(!beta.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;        <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(!gamma.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;        <span class="comment">// Fill tensors</span></div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;        fill(AccessorType(src), AccessorType(mean), AccessorType(var), AccessorType(beta), AccessorType(gamma));</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;        <span class="comment">// Compute function</span></div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;        norm.run();</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>;</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;    }</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> compute_reference(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;shape0, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;shape1, <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> dt, <span class="keywordtype">int</span> fixed_point_position)</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;    {</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;        <span class="comment">// Create reference</span></div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> ref_src{ shape0, dt, 1, fixed_point_position };</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> ref_mean{ shape1, dt, 1, fixed_point_position };</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> ref_var{ shape1, dt, 1, fixed_point_position };</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> ref_beta{ shape1, dt, 1, fixed_point_position };</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> ref_gamma{ shape1, dt, 1, fixed_point_position };</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;        <span class="comment">// Fill reference</span></div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;        fill(ref_src, ref_mean, ref_var, ref_beta, ref_gamma);</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af78f5ddf994fdea833d44a9e2e01b1f7">reference::batch_normalization_layer</a>(ref_src, ref_mean, ref_var, ref_beta, ref_gamma, epsilon, act_info, fixed_point_position);</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;    }</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;    TensorType      _target{};</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> _reference{};</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;    <span class="keywordtype">int</span>             _fractional_bits{};</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;    <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>        _data_type{};</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;};</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> TensorType, <span class="keyword">typename</span> AccessorType, <span class="keyword">typename</span> FunctionType, <span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00155"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_batch_normalization_layer_validation_fixture.xhtml">  155</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1validation_1_1_batch_normalization_layer_validation_fixture.xhtml">BatchNormalizationLayerValidationFixture</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1validation_1_1_batch_normalization_layer_validation_fixed_point_fixture.xhtml">BatchNormalizationLayerValidationFixedPointFixture&lt;TensorType, AccessorType, FunctionType, T&gt;</a></div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;{</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span>...&gt;</div><div class="line"><a name="l00159"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_batch_normalization_layer_validation_fixture.xhtml#a9b657ea665e1236d15506a827fcb4aeb">  159</a></span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1test_1_1validation_1_1_batch_normalization_layer_validation_fixture.xhtml#a9b657ea665e1236d15506a827fcb4aeb">setup</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> shape0, <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> shape1, <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> dt)</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;    {</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1framework_1_1_fixture.xhtml#a4fc01d736fe50cf5b977f755b675f11d">BatchNormalizationLayerValidationFixedPointFixture&lt;TensorType, AccessorType, FunctionType, T&gt;::setup</a>(shape0, shape1, epsilon, act_info, dt, 0);</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;    }</div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;};</div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;} <span class="comment">// namespace validation</span></div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;} <span class="comment">// namespace test</span></div><div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* ARM_COMPUTE_TEST_BATCH_NORMALIZATION_LAYER_FIXTURE */</span><span class="preprocessor"></span></div><div class="ttc" id="_i_accessor_8h_xhtml"><div class="ttname"><a href="_i_accessor_8h.xhtml">IAccessor.h</a></div></div>
 121 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ab146b9cbab6e73e7588b240dc709fe01"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">arm_compute::test::validation::beta</a></div><div class="ttdeci">beta</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00115">GEMM.cpp:115</a></div></div>
 122 <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>
 123 <div class="ttc" id="tests_2validation_2reference_2_batch_normalization_layer_8h_xhtml"><div class="ttname"><a href="tests_2validation_2reference_2_batch_normalization_layer_8h.xhtml">BatchNormalizationLayer.h</a></div></div>
 124 <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>
 125 <div class="ttc" id="classarm__compute_1_1test_1_1validation_1_1_batch_normalization_layer_validation_fixture_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1validation_1_1_batch_normalization_layer_validation_fixture.xhtml">arm_compute::test::validation::BatchNormalizationLayerValidationFixture</a></div><div class="ttdef"><b>Definition:</b> <a href="validation_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml#l00155">BatchNormalizationLayerFixture.h:155</a></div></div>
 126 <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>
 127 <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>
 128 <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>
 129 <div class="ttc" id="_globals_8h_xhtml"><div class="ttname"><a href="_globals_8h.xhtml">Globals.h</a></div></div>
 130 <div class="ttc" id="namespacearm__compute_1_1test_xhtml_a71326f0909d77386e29b511e1990a11f"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">arm_compute::test::library</a></div><div class="ttdeci">std::unique_ptr&lt; AssetsLibrary &gt; library</div><div class="ttdef"><b>Definition:</b> <a href="main_8cpp_source.xhtml#l00059">main.cpp:59</a></div></div>
 131 <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>
 132 <div class="ttc" id="classarm__compute_1_1test_1_1framework_1_1_fixture_xhtml_a4fc01d736fe50cf5b977f755b675f11d"><div class="ttname"><a href="classarm__compute_1_1test_1_1framework_1_1_fixture.xhtml#a4fc01d736fe50cf5b977f755b675f11d">arm_compute::test::framework::Fixture::setup</a></div><div class="ttdeci">void setup()</div><div class="ttdoc">Setup function. </div><div class="ttdef"><b>Definition:</b> <a href="_fixture_8h_source.xhtml#l00048">Fixture.h:48</a></div></div>
 133 <div class="ttc" id="classarm__compute_1_1test_1_1validation_1_1_batch_normalization_layer_validation_fixed_point_fixture_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1validation_1_1_batch_normalization_layer_validation_fixed_point_fixture.xhtml">arm_compute::test::validation::BatchNormalizationLayerValidationFixedPointFixture</a></div><div class="ttdef"><b>Definition:</b> <a href="validation_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml#l00044">BatchNormalizationLayerFixture.h:44</a></div></div>
 134 <div class="ttc" id="_assets_library_8h_xhtml"><div class="ttname"><a href="_assets_library_8h.xhtml">AssetsLibrary.h</a></div></div>
 135 <div class="ttc" id="classarm__compute_1_1test_1_1validation_1_1_batch_normalization_layer_validation_fixture_xhtml_a9b657ea665e1236d15506a827fcb4aeb"><div class="ttname"><a href="classarm__compute_1_1test_1_1validation_1_1_batch_normalization_layer_validation_fixture.xhtml#a9b657ea665e1236d15506a827fcb4aeb">arm_compute::test::validation::BatchNormalizationLayerValidationFixture::setup</a></div><div class="ttdeci">void setup(TensorShape shape0, TensorShape shape1, float epsilon, ActivationLayerInfo act_info, DataType dt)</div><div class="ttdef"><b>Definition:</b> <a href="validation_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml#l00159">BatchNormalizationLayerFixture.h:159</a></div></div>
 136 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adbf67dcee294e673cf796f1ed8aeb6a4"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">arm_compute::test::validation::dst</a></div><div class="ttdeci">CLTensor dst</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00137">Convolution.cpp:137</a></div></div>
 137 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_af78f5ddf994fdea833d44a9e2e01b1f7"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af78f5ddf994fdea833d44a9e2e01b1f7">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, ActivationLayerInfo act_info, int fixed_point_position)</div><div class="ttdef"><b>Definition:</b> <a href="validation_2reference_2_batch_normalization_layer_8cpp_source.xhtml#l00041">BatchNormalizationLayer.cpp:41</a></div></div>
 138 <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>
 139 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_af3c1de77fd86df539395c75c17ec230e"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">arm_compute::test::validation::ARM_COMPUTE_EXPECT</a></div><div class="ttdeci">ARM_COMPUTE_EXPECT(src.info() -&gt;is_resizable(), framework::LogLevel::ERRORS)</div></div>
 140 <div class="ttc" id="classarm__compute_1_1test_1_1validation_1_1_batch_normalization_layer_validation_fixed_point_fixture_xhtml_a08f022d13db42b94c5f9c35a169ba907"><div class="ttname"><a href="classarm__compute_1_1test_1_1validation_1_1_batch_normalization_layer_validation_fixed_point_fixture.xhtml#a08f022d13db42b94c5f9c35a169ba907">arm_compute::test::validation::BatchNormalizationLayerValidationFixedPointFixture::setup</a></div><div class="ttdeci">void setup(TensorShape shape0, TensorShape shape1, float epsilon, ActivationLayerInfo act_info, DataType dt, int fractional_bits)</div><div class="ttdef"><b>Definition:</b> <a href="validation_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml#l00048">BatchNormalizationLayerFixture.h:48</a></div></div>
 141 <div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">arm_compute::test::framework::LogLevel::ERRORS</a></div></div>
 142 <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>
 143 <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>
 144 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a6743f0a130e8311e6f5b1a23df102472"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">arm_compute::test::validation::src</a></div><div class="ttdeci">convolution configure &amp; src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00147">Convolution.cpp:147</a></div></div>
 145 <div class="ttc" id="namespacearm__compute_xhtml_af5982a092e9eb743fce2d6392bdd8897"><div class="ttname"><a href="namespacearm__compute.xhtml#af5982a092e9eb743fce2d6392bdd8897">arm_compute::is_data_type_float</a></div><div class="ttdeci">bool is_data_type_float(DataType dt)</div><div class="ttdoc">Check if a given data type is of floating point type. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l00970">Utils.h:970</a></div></div>
 146 <div class="ttc" id="_tensor_shape_8h_xhtml"><div class="ttname"><a href="_tensor_shape_8h.xhtml">TensorShape.h</a></div></div>
 147 <div class="ttc" id="_asserts_8h_xhtml"><div class="ttname"><a href="_asserts_8h.xhtml">Asserts.h</a></div></div>
 148 <div class="ttc" id="_fixture_8h_xhtml"><div class="ttname"><a href="_fixture_8h.xhtml">Fixture.h</a></div></div>
 149 </div><!-- fragment --></div><!-- contents -->
 150 </div><!-- doc-content -->
 151 <!-- start footer part -->
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 153   <ul>
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