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 117 <div class="title">BatchNormalizationLayer.cpp</div>  </div>
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<a href="validation_2_n_e_o_n_2_batch_normalization_layer_8cpp.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">#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="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_batch_normalization_layer_8h.xhtml">arm_compute/runtime/NEON/functions/NEBatchNormalizationLayer.h</a>&quot;</span></div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="runtime_2_tensor_8h.xhtml">arm_compute/runtime/Tensor.h</a>&quot;</span></div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_tensor_allocator_8h.xhtml">arm_compute/runtime/TensorAllocator.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="_accessor_8h.xhtml">tests/NEON/Accessor.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="_padding_calculator_8h.xhtml">tests/PaddingCalculator.h</a>&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="preprocessor">#include &quot;tests/datasets/RandomBatchNormalizationLayerDataset.h&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="preprocessor">#include &quot;tests/datasets/ShapeDatasets.h&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="tests_2framework_2_macros_8h.xhtml">tests/framework/Macros.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="_datasets_8h.xhtml">tests/framework/datasets/Datasets.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_2_helpers_8h.xhtml">tests/validation/Helpers.h</a>&quot;</span></div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_validation_8h.xhtml">tests/validation/Validation.h</a>&quot;</span></div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="preprocessor">#include &quot;tests/validation/fixtures/BatchNormalizationLayerFixture.h&quot;</span></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><a class="code" href="namespacearm__compute.xhtml">arm_compute</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">namespace </span>test</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">namespace </span>validation</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="keyword">namespace</span></div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;{</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;constexpr AbsoluteTolerance&lt;float&gt; tolerance_f32(0.00001f); </div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;<span class="preprocessor">#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC</span></div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;constexpr AbsoluteTolerance&lt;float&gt; tolerance_f16(0.01f); </div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;<span class="preprocessor">#endif                                                   </span><span class="comment">/* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */</span><span class="preprocessor"></span></div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;constexpr AbsoluteTolerance&lt;float&gt; tolerance_qs8(3.0f);  </div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;constexpr AbsoluteTolerance&lt;float&gt; tolerance_qs16(6.0f); </div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;<span class="keyword">const</span> <span class="keyword">auto</span>                         act_infos = <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;ActivationInfo&quot;</span>,</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;    ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>),</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;    ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaacc516ab03b98f1c908ddf6ed4a7c45e9">ActivationLayerInfo::ActivationFunction::BOUNDED_RELU</a>, 6.f),</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;    ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaaab1d4411a9e7f5e82002512cddfdc33a">ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU</a>, 8.f, 2.f),</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;});</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;} <span class="comment">// namespace</span></div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;<a class="code" href="tests_2framework_2_macros_8h.xhtml#acd09bed517e43d28823e69494f259835">TEST_SUITE</a>(NEON)</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;<a class="code" href="tests_2framework_2_macros_8h.xhtml#acd09bed517e43d28823e69494f259835">TEST_SUITE</a>(BatchNormalizationLayer)</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;template &lt;typename T&gt;</div><div class="line"><a name="l00065"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac8906ce871f33363926bf6bfc0e5e41e">   65</a></span>&#160;using <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac8906ce871f33363926bf6bfc0e5e41e">NEBatchNormalizationLayerFixture</a> = BatchNormalizationLayerValidationFixture&lt;<a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>, <a class="code" href="classarm__compute_1_1test_1_1_accessor.xhtml">Accessor</a>, <a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer.xhtml">NEBatchNormalizationLayer</a>, T&gt;;</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;</div><div class="line"><a name="l00067"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a884d40feeafe00ae07b0cbcddc51d7d3">   67</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a35d3ab6d678579401ec6efeccd788c3b">DATA_TEST_CASE</a>(Configuration, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(datasets::RandomBatchNormalizationLayerDataset(),</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;                                                                                   <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;UseBeta&quot;, { <span class="keyword">false</span>, <span class="keyword">true</span> }), <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;UseGamma&quot;</span>, { <span class="keyword">false</span>, <span class="keyword">true</span> }))),</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;                                                                           <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">DataType::QS8</a>, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9">DataType::QS16</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a> })),</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;                                                                   <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a> })),</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;               shape0, shape1, epsilon, use_beta, use_gamma, dt, data_layout)</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="comment">// Set fixed point position data type allowed</span></div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> fixed_point_position = (<a class="code" href="namespacearm__compute.xhtml#ab6bb62694ae8369d18a9c9687040975e">arm_compute::is_data_type_fixed_point</a>(dt)) ? 3 : 0;</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;    <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> src_dst_shapes = shape0;</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;    <span class="keywordflow">if</span>(data_layout == <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>)</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;    {</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;        <a class="code" href="namespacearm__compute.xhtml#a21c3e11887f3acf9284ca763372c7da0">permute</a>(src_dst_shapes, <a class="code" href="namespacearm__compute.xhtml#a33e65be485104e2e9e69fca551d6f492">PermutationVector</a>(2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 0<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 1<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>));</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;    }</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;    <span class="comment">// Create tensors</span></div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>   = create_tensor&lt;Tensor&gt;(src_dst_shapes, dt, 1, fixed_point_position, <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(), data_layout);</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>   = create_tensor&lt;Tensor&gt;(src_dst_shapes, dt, 1, fixed_point_position, <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(), data_layout);</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> mean  = create_tensor&lt;Tensor&gt;(shape1, dt, 1, fixed_point_position);</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> var   = create_tensor&lt;Tensor&gt;(shape1, dt, 1, fixed_point_position);</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">beta</a>  = create_tensor&lt;Tensor&gt;(shape1, dt, 1, fixed_point_position);</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> gamma = create_tensor&lt;Tensor&gt;(shape1, dt, 1, 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 and Configure function</span></div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer.xhtml">NEBatchNormalizationLayer</a> norm;</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>                   *beta_ptr  = use_beta ? &amp;beta : <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>                   *gamma_ptr = use_gamma ? &amp;gamma : <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;    norm.configure(&amp;src, &amp;dst, &amp;mean, &amp;var, beta_ptr, gamma_ptr, epsilon);</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;    <span class="comment">// Validate valid region</span></div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> valid_region = <a class="code" href="namespacearm__compute_1_1test.xhtml#a8103df0e6c416f55f40106aa49072b42">shape_to_valid_region</a>(src_dst_shapes);</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;    <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6813132c943295888972727864ea5c2f">validate</a>(dst.info()-&gt;valid_region(), valid_region);</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;}</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;<span class="comment">// *INDENT-OFF*</span></div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;<span class="comment">// clang-format off</span></div><div class="line"><a name="l00103"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a31bb10ae93d777116dcf93c12ccbb222">  103</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a35d3ab6d678579401ec6efeccd788c3b">DATA_TEST_CASE</a>(Validate, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af2041055b792c65741e6df32abd58177">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af2041055b792c65741e6df32abd58177">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af2041055b792c65741e6df32abd58177">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af2041055b792c65741e6df32abd58177">zip</a>(</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;               <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;InputInfo&quot;</span>, { <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(32<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;                                                       <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(27<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),    <span class="comment">// Window shrink</span></div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;                                                       <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(32<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),    <span class="comment">// Mismatching data types</span></div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;                                                       <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(32<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),    <span class="comment">// Mismatching data types</span></div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;                                                       <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(32<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),    <span class="comment">// Invalid mean/var/beta/gamma shape</span></div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;                                                       <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(32<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">DataType::QS8</a>, 2), <span class="comment">// Mismatching fixed point position</span></div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;                                                       <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(32<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">DataType::QS8</a>, 2), <span class="comment">// Fused activation with fixed point not supported</span></div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;                                                       <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(32<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),    <span class="comment">// Fused activation&#39;s a &lt; b</span></div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;                                                       <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(32<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">DataType::QS8</a>, 2),</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;                                                       <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(32<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">DataType::QS8</a>, 2),</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;                                                     }),</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;               <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;OutputInfo&quot;</span>,{ <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(32<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;                                                       <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(27<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;                                                       <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(32<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;                                                       <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(32<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>),</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;                                                       <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(32<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;                                                       <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(32<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">DataType::QS8</a>, 3),</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;                                                       <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(32<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;                                                       <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(32<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">DataType::QS8</a>, 3),</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;                                                       <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(32<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">DataType::QS8</a>, 2),</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;                                                       <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(),</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;                                                     })),</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;               <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;MVBGInfo&quot;</span>,{ <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="c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mpute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">DataType::QS8</a>, 2),</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;                                                   })),</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;               <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;ActivationLayerInfo&quot;</span>,{ <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>),</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;                                                    <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>),</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;                                                     <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaacc516ab03b98f1c908ddf6ed4a7c45e9">ActivationLayerInfo::ActivationFunction::BOUNDED_RELU</a>, 6.f),</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;                                                     <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaacc516ab03b98f1c908ddf6ed4a7c45e9">ActivationLayerInfo::ActivationFunction::BOUNDED_RELU</a>, 6.f),</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;                                                     <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaaab1d4411a9e7f5e82002512cddfdc33a">ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU</a>, 6.f),</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;                                                     <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaaab1d4411a9e7f5e82002512cddfdc33a">ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU</a>, 6.f, 2.f),</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;                                                     <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaaab1d4411a9e7f5e82002512cddfdc33a">ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU</a>, 6.f, 2.f),</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;                                                     <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaaab1d4411a9e7f5e82002512cddfdc33a">ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU</a>, 2.f, 6.f),</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;                                                     <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>(),</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;                                                     <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>(),</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;               <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;Expected&quot;</span>, { <span class="keyword">true</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">true</span>, <span class="keyword">true</span>})),</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;               <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae008e90eb6906fa3526213bc860f6cc5">input_info</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a25cae7166733a51d1354f3f395652782">output_info</a>, mvbg_info, act_info, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa6e67bddae371a5731f6d4002e787299">expected</a>)</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;{</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> &amp;mean_info = mvbg_info;</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> &amp;var_info = mvbg_info;</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> &amp;beta_info = mvbg_info;</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> &amp;gamma_info = mvbg_info;</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;    <span class="keywordtype">bool</span> has_error = bool(<a class="code" href="classarm__compute_1_1_n_e_batch_normalization_layer.xhtml#af5f30ebbb928758897f5dcd17fc50181">NEBatchNormalizationLayer::validate</a>(</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;            &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae008e90eb6906fa3526213bc860f6cc5">input_info</a>.clone()-&gt;set_is_resizable(<span class="keyword">false</span>), output_info.total_size() ? &amp;output_info.clone()-&gt;set_is_resizable(<span class="keyword">false</span>) : <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;            &amp;mean_info.clone()-&gt;set_is_resizable(<span class="keyword">false</span>), &amp;var_info.clone()-&gt;set_is_resizable(<span class="keyword">false</span>),</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;            &amp;beta_info.clone()-&gt;set_is_resizable(<span class="keyword">false</span>), &amp;gamma_info.clone()-&gt;set_is_resizable(<span class="keyword">false</span>), 1.f, act_info));</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;    <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(has_error == <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa6e67bddae371a5731f6d4002e787299">expected</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</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;<span class="comment">// clang-format on</span></div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;<span class="comment">// *INDENT-ON*</span></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;<a class="code" href="tests_2framework_2_macros_8h.xhtml#acd09bed517e43d28823e69494f259835">TEST_SUITE</a>(Float)</div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;<a class="code" href="tests_2framework_2_macros_8h.xhtml#acd09bed517e43d28823e69494f259835">TEST_SUITE</a>(FP32)</div><div class="line"><a name="l00166"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2e51e8b7d8992e16d4ac4a508f25a962">  166</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6b5e9878192726548c5546a4cbc175ab">FIXTURE_DATA_TEST_CASE</a>(Random, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac8906ce871f33363926bf6bfc0e5e41e">NEBatchNormalizationLayerFixture</a>&lt;<span class="keywordtype">float</span>&gt;, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::PRECOMMIT, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(datasets::RandomBatchNormalizationLayerDataset(),</div><div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;                                                                                                                   <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;UseBeta&quot;, { <span class="keyword">false</span>, <span class="keyword">true</span> }),</div><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;                                                                                                                           <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;UseGamma&quot;</span>, { <span class="keyword">false</span>, <span class="keyword">true</span> }))),</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;                                                                                                                   act_infos),</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;                                                                                                                   <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>)),</div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;                                                                                                                   <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a> })))</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;{</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;    <span class="comment">// Validate output</span></div><div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;    <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6813132c943295888972727864ea5c2f">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_accessor.xhtml">Accessor</a>(_target), _reference, tolerance_f32, 0);</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;}</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a38fe4b20a05bbaa1c844f3d7a19791ae">TEST_SUITE_END</a>()</div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;<span class="preprocessor">#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC</span></div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;<a class="code" href="tests_2framework_2_macros_8h.xhtml#acd09bed517e43d28823e69494f259835">TEST_SUITE</a>(FP16)</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6b5e9878192726548c5546a4cbc175ab">FIXTURE_DATA_TEST_CASE</a>(Random, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac8906ce871f33363926bf6bfc0e5e41e">NEBatchNormalizationLayerFixture&lt;half&gt;</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfab829534c7b40afdbd3c3ffea05202a97">framework::DatasetMode::PRECOMMIT</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(datasets::RandomBatchNormalizationLayerDataset(),</div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;                                                                                                                  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;UseBeta&quot;</span>, { <span class="keyword">false</span>, <span class="keyword">true</span> }),</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;                                                                                                                          <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;UseGamma&quot;</span>, { <span class="keyword">false</span>, <span class="keyword">true</span> }))),</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;                                                                                                                  <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;ActivationInfo&quot;</span>, <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>())),</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;                                                                                                                  <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>)),</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;                                                                                                                  <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a> })))</div><div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;{</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;    <span class="comment">// Validate output</span></div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;    <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6813132c943295888972727864ea5c2f">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_accessor.xhtml">Accessor</a>(_target), _reference, tolerance_f16, 0);</div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;}</div><div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a38fe4b20a05bbaa1c844f3d7a19791ae">TEST_SUITE_END</a>()</div><div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */</span><span class="preprocessor"></span></div><div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a38fe4b20a05bbaa1c844f3d7a19791ae">TEST_SUITE_END</a>()</div><div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;</div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;<a class="code" href="tests_2framework_2_macros_8h.xhtml#acd09bed517e43d28823e69494f259835">TEST_SUITE</a>(Quantized)</div><div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00196"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9b5c93207d230840dd48aef090f3ab04">  196</a></span>&#160;<span class="keyword">using</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9b5c93207d230840dd48aef090f3ab04">NEBatchNormalizationLayerFixedPointFixture</a> = BatchNormalizationLayerValidationFixedPointFixture&lt;Tensor, Accessor, NEBatchNormalizationLayer, T&gt;;</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;<a class="code" href="tests_2framework_2_macros_8h.xhtml#acd09bed517e43d28823e69494f259835">TEST_SUITE</a>(QS8)</div><div class="line"><a name="l00199"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a185e16b0706d82a64ba11430cf2b1be1">  199</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6b5e9878192726548c5546a4cbc175ab">FIXTURE_DATA_TEST_CASE</a>(Random, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9b5c93207d230840dd48aef090f3ab04">NEBatchNormalizationLayerFixedPointFixture</a>&lt;int8_t&gt;, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::PRECOMMIT,</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;                       <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(datasets::RandomBatchNormalizationLayerDataset(),</div><div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;                                                                       framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;UseBeta&quot;, false)),</div><div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;                                                               framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;UseGamma&quot;, false)),</div><div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;                                                       framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;ActivationInfo&quot;, <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>())),</div><div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;                                               framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&quot;, DataType::QS8)),</div><div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;                                       framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>&quot;, DataLayout::NCHW)),</div><div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;                               framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;FractionalBits&quot;, 1, 6)))</div><div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;{</div><div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;    <span class="comment">// Validate output</span></div><div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;    <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6813132c943295888972727864ea5c2f">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_accessor.xhtml">Accessor</a>(_target), _reference, tolerance_qs8, 0);</div><div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;}</div><div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a38fe4b20a05bbaa1c844f3d7a19791ae">TEST_SUITE_END</a>()</div><div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;</div><div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;<a class="code" href="tests_2framework_2_macros_8h.xhtml#acd09bed517e43d28823e69494f259835">TEST_SUITE</a>(<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9">QS16</a>)</div><div class="line"><a name="l00214"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8b1b48798490e9daddbab9d91c9f2ec1">  214</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6b5e9878192726548c5546a4cbc175ab">FIXTURE_DATA_TEST_CASE</a>(Random, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9b5c93207d230840dd48aef090f3ab04">NEBatchNormalizationLayerFixedPointFixture</a>&lt;int16_t&gt;, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::PRECOMMIT,</div><div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;                       <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(datasets::RandomBatchNormalizationLayerDataset(),</div><div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;                                                                       framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;UseBeta&quot;, false)),</div><div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;                                                               framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;UseGamma&quot;, false)),</div><div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;                                                       framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;ActivationInfo&quot;, <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>())),</div><div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;                                               framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&quot;, DataType::QS16)),</div><div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;                                       framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>&quot;, DataLayout::NCHW)),</div><div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;                               framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;FractionalBits&quot;, 1, 14)))</div><div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;{</div><div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;    <span class="comment">// Validate output</span></div><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;    <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6813132c943295888972727864ea5c2f">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_accessor.xhtml">Accessor</a>(_target), _reference, tolerance_qs16, 0);</div><div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;}</div><div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a38fe4b20a05bbaa1c844f3d7a19791ae">TEST_SUITE_END</a>()</div><div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;</div><div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a38fe4b20a05bbaa1c844f3d7a19791ae">TEST_SUITE_END</a>()</div><div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;</div><div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a38fe4b20a05bbaa1c844f3d7a19791ae">TEST_SUITE_END</a>()</div><div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a38fe4b20a05bbaa1c844f3d7a19791ae">TEST_SUITE_END</a>()</div><div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;} <span class="comment">// namespace validation</span></div><div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;} <span class="comment">// namespace test</span></div><div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="ttc" id="_accessor_8h_xhtml"><div class="ttname"><a href="_accessor_8h.xhtml">Accessor.h</a></div></div>
 121 <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9">arm_compute::DataType::QS16</a></div><div class="ttdoc">quantized, symmetric fixed-point 16-bit number </div></div>
 122 <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>
 123 <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>
 124 <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">arm_compute::DataType::QS8</a></div><div class="ttdoc">quantized, symmetric fixed-point 8-bit number </div></div>
 125 <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">arm_compute::ActivationLayerInfo::ActivationFunction::RELU</a></div><div class="ttdoc">Rectifier (  ) </div></div>
 126 <div class="ttc" id="_padding_calculator_8h_xhtml"><div class="ttname"><a href="_padding_calculator_8h.xhtml">PaddingCalculator.h</a></div></div>
 127 <div class="ttc" id="classarm__compute_1_1_n_e_batch_normalization_layer_xhtml_af5f30ebbb928758897f5dcd17fc50181"><div class="ttname"><a href="classarm__compute_1_1_n_e_batch_normalization_layer.xhtml#af5f30ebbb928758897f5dcd17fc50181">arm_compute::NEBatchNormalizationLayer::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *mean, const ITensorInfo *var, const ITensorInfo *beta=nullptr, const ITensorInfo *gamma=nullptr, float epsilon=0.001f, ActivationLayerInfo act_info=ActivationLayerInfo())</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of NEBatchNormalizationLaye...</div></div>
 128 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_aa6e67bddae371a5731f6d4002e787299"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#aa6e67bddae371a5731f6d4002e787299">arm_compute::test::validation::expected</a></div><div class="ttdeci">expected</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00174">Winograd.cpp:174</a></div></div>
 129 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a9b5c93207d230840dd48aef090f3ab04"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a9b5c93207d230840dd48aef090f3ab04">arm_compute::test::validation::NEBatchNormalizationLayerFixedPointFixture</a></div><div class="ttdeci">BatchNormalizationLayerValidationFixedPointFixture&lt; Tensor, Accessor, NEBatchNormalizationLayer, T &gt; NEBatchNormalizationLayerFixedPointFixture</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_n_e_o_n_2_batch_normalization_layer_8cpp_source.xhtml#l00196">BatchNormalizationLayer.cpp:196</a></div></div>
 130 <div class="ttc" id="_tensor_allocator_8h_xhtml"><div class="ttname"><a href="_tensor_allocator_8h.xhtml">TensorAllocator.h</a></div></div>
 131 <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::Format::F32</a></div><div class="ttdoc">1 channel, 1 F32 per channel </div></div>
 132 <div class="ttc" id="namespacearm__compute_xhtml_a33e65be485104e2e9e69fca551d6f492"><div class="ttname"><a href="namespacearm__compute.xhtml#a33e65be485104e2e9e69fca551d6f492">arm_compute::PermutationVector</a></div><div class="ttdeci">Strides PermutationVector</div><div class="ttdoc">Permutation vector. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00047">Types.h:47</a></div></div>
 133 <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>
 134 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a25cae7166733a51d1354f3f395652782"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a25cae7166733a51d1354f3f395652782">arm_compute::test::validation::output_info</a></div><div class="ttdeci">output_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00173">Winograd.cpp:173</a></div></div>
 135 <div class="ttc" id="namespacearm__compute_1_1test_1_1framework_1_1dataset_xhtml_a352791fb808d42a82ad70df5efa3508b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">arm_compute::test::framework::dataset::make</a></div><div class="ttdeci">std::enable_if&lt; is_container&lt; T &gt;::value, ContainerDataset&lt; T &gt; &gt;::type make(std::string name, T &amp;&amp;values)</div><div class="ttdoc">Helper function to create a ContainerDataset. </div><div class="ttdef"><b>Definition:</b> <a href="_container_dataset_8h_source.xhtml#l00160">ContainerDataset.h:160</a></div></div>
 136 <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#l00809">Types.h:809</a></div></div>
 137 <div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_a7edf31944a6144ffd493d2f9a7bfb5cfab829534c7b40afdbd3c3ffea05202a97"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfab829534c7b40afdbd3c3ffea05202a97">arm_compute::test::framework::DatasetMode::PRECOMMIT</a></div></div>
 138 <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>
 139 <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::Format::F16</a></div><div class="ttdoc">1 channel, 1 F16 per channel </div></div>
 140 <div class="ttc" id="tests_2framework_2_macros_8h_xhtml_acd09bed517e43d28823e69494f259835"><div class="ttname"><a href="tests_2framework_2_macros_8h.xhtml#acd09bed517e43d28823e69494f259835">TEST_SUITE</a></div><div class="ttdeci">#define TEST_SUITE(SUITE_NAME)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2framework_2_macros_8h_source.xhtml#l00034">Macros.h:34</a></div></div>
 141 <div class="ttc" id="namespacearm__compute_xhtml_a21c3e11887f3acf9284ca763372c7da0"><div class="ttname"><a href="namespacearm__compute.xhtml#a21c3e11887f3acf9284ca763372c7da0">arm_compute::permute</a></div><div class="ttdeci">void permute(Dimensions&lt; T &gt; &amp;dimensions, const PermutationVector &amp;perm)</div><div class="ttdoc">Permutes given Dimensions according to a permutation vector. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_helpers_8h_source.xhtml#l00536">Helpers.h:536</a></div></div>
 142 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a6b5e9878192726548c5546a4cbc175ab"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6b5e9878192726548c5546a4cbc175ab">arm_compute::test::validation::FIXTURE_DATA_TEST_CASE</a></div><div class="ttdeci">FIXTURE_DATA_TEST_CASE(RunSmall, CLAbsoluteDifferenceFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AbsoluteDifferenceU8Dataset))</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00083">AbsoluteDifference.cpp:83</a></div></div>
 143 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a6813132c943295888972727864ea5c2f"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6813132c943295888972727864ea5c2f">arm_compute::test::validation::validate</a></div><div class="ttdeci">validate(dst.info() -&gt;valid_region(), dst_valid_region)</div></div>
 144 <div class="ttc" id="classarm__compute_1_1test_1_1_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_accessor.xhtml">arm_compute::test::Accessor</a></div><div class="ttdoc">Accessor implementation for Tensor objects. </div><div class="ttdef"><b>Definition:</b> <a href="_accessor_8h_source.xhtml#l00035">Accessor.h:35</a></div></div>
 145 <div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_a7edf31944a6144ffd493d2f9a7bfb5cf"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">arm_compute::test::framework::DatasetMode</a></div><div class="ttdeci">DatasetMode</div><div class="ttdoc">Possible dataset modes. </div><div class="ttdef"><b>Definition:</b> <a href="_dataset_modes_8h_source.xhtml#l00040">DatasetModes.h:40</a></div></div>
 146 <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>
 147 <div class="ttc" id="_datasets_8h_xhtml"><div class="ttname"><a href="_datasets_8h.xhtml">Datasets.h</a></div></div>
 148 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae008e90eb6906fa3526213bc860f6cc5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae008e90eb6906fa3526213bc860f6cc5">arm_compute::test::validation::input_info</a></div><div class="ttdeci">input_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00173">Winograd.cpp:173</a></div></div>
 149 <div class="ttc" id="namespacearm__compute_xhtml_ab6bb62694ae8369d18a9c9687040975e"><div class="ttname"><a href="namespacearm__compute.xhtml#ab6bb62694ae8369d18a9c9687040975e">arm_compute::is_data_type_fixed_point</a></div><div class="ttdeci">bool is_data_type_fixed_point(DataType dt)</div><div class="ttdoc">Check if a given data type is of fixed point type. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l01037">Utils.h:1037</a></div></div>
 150 <div class="ttc" id="classarm__compute_1_1_n_e_batch_normalization_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_batch_normalization_layer.xhtml">arm_compute::NEBatchNormalizationLayer</a></div><div class="ttdoc">Basic function to run NENormalizationLayerKernel and simulate a batch normalization layer...</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_batch_normalization_layer_8h_source.xhtml#l00042">NEBatchNormalizationLayer.h:42</a></div></div>
 151 <div class="ttc" id="classarm__compute_1_1_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor.xhtml">arm_compute::Tensor</a></div><div class="ttdoc">Basic implementation of the tensor interface. </div><div class="ttdef"><b>Definition:</b> <a href="runtime_2_tensor_8h_source.xhtml#l00037">Tensor.h:37</a></div></div>
 152 <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>
 153 <div class="ttc" id="tests_2framework_2_macros_8h_xhtml"><div class="ttname"><a href="tests_2framework_2_macros_8h.xhtml">Macros.h</a></div></div>
 154 <div class="ttc" id="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">arm_compute::DataLayout::NCHW</a></div><div class="ttdoc">Num samples, channels, height, width. </div></div>
 155 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a35d3ab6d678579401ec6efeccd788c3b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a35d3ab6d678579401ec6efeccd788c3b">arm_compute::test::validation::DATA_TEST_CASE</a></div><div class="ttdeci">DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), AbsoluteDifferenceU8Dataset), shape, data_type0, data_type1, output_data_type)</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00060">AbsoluteDifference.cpp:60</a></div></div>
 156 <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaaab1d4411a9e7f5e82002512cddfdc33a"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaaab1d4411a9e7f5e82002512cddfdc33a">arm_compute::ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU</a></div><div class="ttdoc">Lower and Upper Bounded Rectifier (  ) </div></div>
 157 <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaacc516ab03b98f1c908ddf6ed4a7c45e9"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaacc516ab03b98f1c908ddf6ed4a7c45e9">arm_compute::ActivationLayerInfo::ActivationFunction::BOUNDED_RELU</a></div><div class="ttdoc">Upper Bounded Rectifier (  ) </div></div>
 158 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a38fe4b20a05bbaa1c844f3d7a19791ae"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a38fe4b20a05bbaa1c844f3d7a19791ae">arm_compute::test::validation::TEST_SUITE_END</a></div><div class="ttdeci">TEST_SUITE_END() DATA_TEST_CASE(Configuration</div></div>
 159 <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>
 160 <div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">arm_compute::test::framework::DatasetMode::ALL</a></div></div>
 161 <div class="ttc" id="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">arm_compute::DataLayout::NHWC</a></div><div class="ttdoc">Num samples, height, width, channels. </div></div>
 162 <div class="ttc" id="_validation_8h_xhtml"><div class="ttname"><a href="_validation_8h.xhtml">Validation.h</a></div></div>
 163 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ad2b4e88e166416d979a049064877b2ca"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">arm_compute::test::validation::combine</a></div><div class="ttdeci">combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;,{DataType::U8, DataType::S16})), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;,{5}))</div></div>
 164 <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml">arm_compute::TensorInfo</a></div><div class="ttdoc">Store the tensor&amp;#39;s metadata. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00045">TensorInfo.h:45</a></div></div>
 165 <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>
 166 <div class="ttc" id="structarm__compute_1_1_quantization_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_quantization_info.xhtml">arm_compute::QuantizationInfo</a></div><div class="ttdoc">Quantization settings (used for QASYMM8 data type) </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00127">Types.h:127</a></div></div>
 167 <div class="ttc" id="_n_e_batch_normalization_layer_8h_xhtml"><div class="ttname"><a href="_n_e_batch_normalization_layer_8h.xhtml">NEBatchNormalizationLayer.h</a></div></div>
 168 <div class="ttc" id="structarm__compute_1_1_valid_region_xhtml"><div class="ttname"><a href="structarm__compute_1_1_valid_region.xhtml">arm_compute::ValidRegion</a></div><div class="ttdoc">Container for valid region of a window. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00206">Types.h:206</a></div></div>
 169 <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>
 170 <div class="ttc" id="runtime_2_tensor_8h_xhtml"><div class="ttname"><a href="runtime_2_tensor_8h.xhtml">Tensor.h</a></div></div>
 171 <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>
 172 <div class="ttc" id="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">arm_compute::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdoc">Supported tensor data layouts. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00110">Types.h:110</a></div></div>
 173 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ac8906ce871f33363926bf6bfc0e5e41e"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac8906ce871f33363926bf6bfc0e5e41e">arm_compute::test::validation::NEBatchNormalizationLayerFixture</a></div><div class="ttdeci">BatchNormalizationLayerValidationFixture&lt; Tensor, Accessor, NEBatchNormalizationLayer, T &gt; NEBatchNormalizationLayerFixture</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_n_e_o_n_2_batch_normalization_layer_8cpp_source.xhtml#l00065">BatchNormalizationLayer.cpp:65</a></div></div>
 174 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_af2041055b792c65741e6df32abd58177"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#af2041055b792c65741e6df32abd58177">arm_compute::test::validation::zip</a></div><div class="ttdeci">zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(3U, 3U, 5U, 3U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 5U, 3U), 1, DataType::QASYMM8), TensorInfo(TensorShape(5U, 5U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 37U, 22U), 1, DataType::F32)}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::F16), TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::F32), TensorInfo(TensorShape(2U, 37U, 16U), 1, DataType::F32), TensorInfo(TensorShape(22U, 37U, 36U), 1, DataType::F32)})), framework::dataset::make(&quot;WinogradInfo&quot;,{WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(3U, 3U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW)})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, true, true, true}))</div></div>
 175 <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>
 176 <div class="ttc" id="namespacearm__compute_1_1test_xhtml_a8103df0e6c416f55f40106aa49072b42"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a8103df0e6c416f55f40106aa49072b42">arm_compute::test::shape_to_valid_region</a></div><div class="ttdeci">ValidRegion shape_to_valid_region(const TensorShape &amp;a_shape, bool border_undefined=false, BorderSize border_size=BorderSize(0))</div><div class="ttdoc">Create a valid region based on tensor shape, border mode and border size. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00222">Utils.h:222</a></div></div>
 177 <div class="ttc" id="_asserts_8h_xhtml"><div class="ttname"><a href="_asserts_8h.xhtml">Asserts.h</a></div></div>
 178 </div><!-- fragment --></div><!-- contents -->
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 183     <li class="navelem"><a class="el" href="dir_59425e443f801f1f2fd8bbe4959a3ccf.xhtml">tests</a></li><li class="navelem"><a class="el" href="dir_e7c7b16542faa38cb4655ff1750d3604.xhtml">validation</a></li><li class="navelem"><a class="el" href="dir_0538a82dae0483a21d0f1e9d7e0a45c6.xhtml">NEON</a></li><li class="navelem"><a class="el" href="validation_2_n_e_o_n_2_batch_normalization_layer_8cpp.xhtml">BatchNormalizationLayer.cpp</a></li>
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