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+<a href="_quantize_test_impl_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 © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;</div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_quantize_test_impl_8hpp.xhtml">QuantizeTestImpl.hpp</a>&quot;</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;</div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_resolve_type_8hpp.xhtml">ResolveType.hpp</a>&gt;</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;</div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;</div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="include_2armnn_2backends_2_i_backend_internal_8hpp.xhtml">armnn/backends/IBackendInternal.hpp</a>&gt;</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_factory_8hpp.xhtml">backendsCommon/WorkloadFactory.hpp</a>&gt;</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;</div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_copy_utils_8hpp.xhtml">backendsCommon/test/TensorCopyUtils.hpp</a>&gt;</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_test_utils_8hpp.xhtml">backendsCommon/test/WorkloadTestUtils.hpp</a>&gt;</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;</div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_helpers_8hpp.xhtml">test/TensorHelpers.hpp</a>&gt;</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;</div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="keyword">namespace</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;{</div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;</div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> T, std::<span class="keywordtype">size_t</span> Dim&gt;</div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, Dim&gt;</a> QuantizeTestImpl(</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager,</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>&amp; inputTensorInfo,</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>&amp; outputTensorInfo,</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;    <span class="keyword">const</span> std::vector&lt;float&gt;&amp; inputData,</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;    <span class="keyword">const</span> std::vector&lt;T&gt;&amp; expectedOutputData,</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;    <a class="code" href="structarmnn_1_1_quantize_queue_descriptor.xhtml">armnn::QuantizeQueueDescriptor</a> descriptor)</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;{</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;    <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;    boost::multi_array&lt;float, Dim&gt; input = MakeTensor&lt;float, Dim&gt;(inputTensorInfo, inputData);</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;    <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, Dim&gt;</a> ret(outputTensorInfo);</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;    ret.outputExpected = MakeTensor&lt;T, Dim&gt;(outputTensorInfo, expectedOutputData);</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;    std::unique_ptr&lt;armnn::ITensorHandle&gt; inputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;    std::unique_ptr&lt;armnn::ITensorHandle&gt; outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</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;    <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;    AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;    AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());</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;    std::unique_ptr&lt;armnn::IWorkload&gt; workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a1942c254ba89d17803e5a636aa927d90">CreateQuantize</a>(descriptor, info);</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;    inputHandle-&gt;Allocate();</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;    outputHandle-&gt;Allocate();</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;    <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), input.data());</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;    ExecuteWorkload(*workload, memoryManager);</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(ret.output.data(), outputHandle.get());</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;    <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;}</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="keyword">template</span> &lt;armnn::DataType ArmnnOutputType, <span class="keyword">typename</span> T = armnn::ResolveType&lt;ArmnnOutputType&gt;&gt;</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 4&gt;</a> QuantizeSimpleTest(</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</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;    <a class="code" href="structarmnn_1_1_quantize_queue_descriptor.xhtml">armnn::QuantizeQueueDescriptor</a> desc;</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo({1, 2, 2, 3}, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo({1, 2, 2, 3}, ArmnnOutputType, 0.5f, 1);</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;    std::vector&lt;float&gt; inputData = std::vector&lt;float&gt;(</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    {</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;        1.0f,   2.0f,  3.0f,</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;        4.0f,   5.0f,  6.0f,</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;        7.0f,   8.0f,  9.0f,</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;        10.0f, 11.0f, 12.0f,</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;    });</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;    std::vector&lt;T&gt; expectedOutputData = std::vector&lt;T&gt;(</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;         3,  5,  7,</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;         9, 11, 13,</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;        15, 17, 19,</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;        21, 23, 25,</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    });</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    <span class="keywordflow">return</span> QuantizeTestImpl&lt;T, 4&gt;(workloadFactory,</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;                                  memoryManager,</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;                                  inputTensorInfo,</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;                                  outputTensorInfo,</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;                                  inputData,</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;                                  expectedOutputData,</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;                                  desc);</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;}</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;<span class="keyword">template</span> &lt;armnn::DataType ArmnnOutputType, <span class="keyword">typename</span> T = armnn::ResolveType&lt;ArmnnOutputType&gt;&gt;</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 4&gt;</a> QuantizeClampTest(</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;{</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    <a class="code" href="structarmnn_1_1_quantize_queue_descriptor.xhtml">armnn::QuantizeQueueDescriptor</a> desc;</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="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo({1, 1, 2, 1}, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo({1, 1, 2, 1}, ArmnnOutputType, 0.0001f, 0);</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;    <span class="keyword">const</span> T max = std::numeric_limits&lt;T&gt;::max();</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;    <span class="keyword">const</span> T min = std::numeric_limits&lt;T&gt;::lowest();</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;    std::vector&lt;float&gt; inputData = std::vector&lt;float&gt;(</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;    {</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;        -100.0f, 100.0f</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;    });</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;    std::vector&lt;T&gt; expectedOutputData = std::vector&lt;T&gt;(</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;    {</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;        min, max</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;    });</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;    <span class="keywordflow">return</span> QuantizeTestImpl&lt;T, 4&gt;(workloadFactory,</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;                                  memoryManager,</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;                                  inputTensorInfo,</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;                                  outputTensorInfo,</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;                                  inputData,</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;                                  expectedOutputData,</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;                                  desc);</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;}</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;} <span class="comment">// anonymous namespace</span></div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;</div><div class="line"><a name="l00128"></a><span class="lineno"><a class="line" href="_quantize_test_impl_8hpp.xhtml#a041d534027842cde6747e50651d23fa3">  128</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;uint8_t, 4&gt;</a> <a class="code" href="_quantize_test_impl_8cpp.xhtml#a041d534027842cde6747e50651d23fa3">QuantizeSimpleUint8Test</a>(</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;{</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;    <span class="keywordflow">return</span> QuantizeSimpleTest&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;}</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;</div><div class="line"><a name="l00135"></a><span class="lineno"><a class="line" href="_quantize_test_impl_8hpp.xhtml#af433076d80e2776cc16fe16c4616a2a4">  135</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;uint8_t, 4&gt;</a> <a class="code" href="_quantize_test_impl_8cpp.xhtml#af433076d80e2776cc16fe16c4616a2a4">QuantizeClampUint8Test</a>(</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;{</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;    <span class="keywordflow">return</span> QuantizeClampTest&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;}</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;</div><div class="line"><a name="l00142"></a><span class="lineno"><a class="line" href="_quantize_test_impl_8hpp.xhtml#a544d80e8fc86b2e5ed42b756b9d37159">  142</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;int8_t, 4&gt;</a> <a class="code" href="_quantize_test_impl_8cpp.xhtml#a544d80e8fc86b2e5ed42b756b9d37159">QuantizeClampAsymmInt8Test</a>(</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;{</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;    <span class="keywordflow">return</span> QuantizeClampTest&lt;armnn::DataType::QAsymmS8&gt;(workloadFactory, memoryManager);</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;</div><div class="line"><a name="l00149"></a><span class="lineno"><a class="line" href="_quantize_test_impl_8hpp.xhtml#ac1ea8781a061b3f089230160c6f35bb7">  149</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;int8_t, 4&gt;</a> <a class="code" href="_quantize_test_impl_8cpp.xhtml#ac1ea8781a061b3f089230160c6f35bb7">QuantizeClampInt8Test</a>(</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;        <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;{</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;    <span class="keywordflow">return</span> QuantizeClampTest&lt;armnn::DataType::QSymmS8&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;}</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;</div><div class="line"><a name="l00156"></a><span class="lineno"><a class="line" href="_quantize_test_impl_8hpp.xhtml#ab52e18e7cc1f4f6cff92f6a1d6ea503d">  156</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;int16_t, 4&gt;</a> <a class="code" href="_quantize_test_impl_8cpp.xhtml#ab52e18e7cc1f4f6cff92f6a1d6ea503d">QuantizeClampInt16Test</a>(</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;{</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;    <span class="keywordflow">return</span> QuantizeClampTest&lt;armnn::DataType::QSymmS16&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;}</div><div class="ttc" id="_tensor_copy_utils_8hpp_xhtml"><div class="ttname"><a href="_tensor_copy_utils_8hpp.xhtml">TensorCopyUtils.hpp</a></div></div>
+<div class="ttc" id="structarmnn_1_1_quantize_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_quantize_queue_descriptor.xhtml">armnn::QuantizeQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00257">WorkloadData.hpp:257</a></div></div>
+<div class="ttc" id="_workload_factory_8hpp_xhtml"><div class="ttname"><a href="_workload_factory_8hpp.xhtml">WorkloadFactory.hpp</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div>
+<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.xhtml#l00021">WorkloadFactory.hpp:21</a></div></div>
+<div class="ttc" id="_workload_test_utils_8hpp_xhtml"><div class="ttname"><a href="_workload_test_utils_8hpp.xhtml">WorkloadTestUtils.hpp</a></div></div>
+<div class="ttc" id="_quantize_test_impl_8cpp_xhtml_ab52e18e7cc1f4f6cff92f6a1d6ea503d"><div class="ttname"><a href="_quantize_test_impl_8cpp.xhtml#ab52e18e7cc1f4f6cff92f6a1d6ea503d">QuantizeClampInt16Test</a></div><div class="ttdeci">LayerTestResult&lt; int16_t, 4 &gt; QuantizeClampInt16Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_quantize_test_impl_8cpp_source.xhtml#l00156">QuantizeTestImpl.cpp:156</a></div></div>
+<div class="ttc" id="_resolve_type_8hpp_xhtml"><div class="ttname"><a href="_resolve_type_8hpp.xhtml">ResolveType.hpp</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &amp;&amp;...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div>
+<div class="ttc" id="_tensor_helpers_8hpp_xhtml"><div class="ttname"><a href="_tensor_helpers_8hpp.xhtml">TensorHelpers.hpp</a></div></div>
+<div class="ttc" id="include_2armnn_2backends_2_i_backend_internal_8hpp_xhtml"><div class="ttname"><a href="include_2armnn_2backends_2_i_backend_internal_8hpp.xhtml">IBackendInternal.hpp</a></div></div>
+<div class="ttc" id="classarmnn_1_1_i_backend_internal_xhtml_a693b40e6b94e958836aeb0410ca186bd"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a></div><div class="ttdeci">std::shared_ptr&lt; IMemoryManager &gt; IMemoryManagerSharedPtr</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.xhtml#l00090">IBackendInternal.hpp:90</a></div></div>
+<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a1942c254ba89d17803e5a636aa927d90"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a1942c254ba89d17803e5a636aa927d90">armnn::IWorkloadFactory::CreateQuantize</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreateQuantize(const QuantizeQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;Info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01358">WorkloadFactory.cpp:1358</a></div></div>
+<div class="ttc" id="_quantize_test_impl_8cpp_xhtml_ac1ea8781a061b3f089230160c6f35bb7"><div class="ttname"><a href="_quantize_test_impl_8cpp.xhtml#ac1ea8781a061b3f089230160c6f35bb7">QuantizeClampInt8Test</a></div><div class="ttdeci">LayerTestResult&lt; int8_t, 4 &gt; QuantizeClampInt8Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_quantize_test_impl_8cpp_source.xhtml#l00149">QuantizeTestImpl.cpp:149</a></div></div>
+<div class="ttc" id="_quantize_test_impl_8cpp_xhtml_a041d534027842cde6747e50651d23fa3"><div class="ttname"><a href="_quantize_test_impl_8cpp.xhtml#a041d534027842cde6747e50651d23fa3">QuantizeSimpleUint8Test</a></div><div class="ttdeci">LayerTestResult&lt; uint8_t, 4 &gt; QuantizeSimpleUint8Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_quantize_test_impl_8cpp_source.xhtml#l00128">QuantizeTestImpl.cpp:128</a></div></div>
+<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div>
+<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr&lt; ITensorHandle &gt; CreateTensorHandle(const TensorInfo &amp;tensorInfo, const bool IsMemoryManaged=true) const =0</div></div>
+<div class="ttc" id="_quantize_test_impl_8hpp_xhtml"><div class="ttname"><a href="_quantize_test_impl_8hpp.xhtml">QuantizeTestImpl.hpp</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
+<div class="ttc" id="_quantize_test_impl_8cpp_xhtml_af433076d80e2776cc16fe16c4616a2a4"><div class="ttname"><a href="_quantize_test_impl_8cpp.xhtml#af433076d80e2776cc16fe16c4616a2a4">QuantizeClampUint8Test</a></div><div class="ttdeci">LayerTestResult&lt; uint8_t, 4 &gt; QuantizeClampUint8Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_quantize_test_impl_8cpp_source.xhtml#l00135">QuantizeTestImpl.cpp:135</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
+<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div>
+<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00029">LayerTestResult.hpp:29</a></div></div>
+<div class="ttc" id="_quantize_test_impl_8cpp_xhtml_a544d80e8fc86b2e5ed42b756b9d37159"><div class="ttname"><a href="_quantize_test_impl_8cpp.xhtml#a544d80e8fc86b2e5ed42b756b9d37159">QuantizeClampAsymmInt8Test</a></div><div class="ttdeci">LayerTestResult&lt; int8_t, 4 &gt; QuantizeClampAsymmInt8Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_quantize_test_impl_8cpp_source.xhtml#l00142">QuantizeTestImpl.cpp:142</a></div></div>
+<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div>
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+    <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.xhtml">backends</a></li><li class="navelem"><a class="el" href="dir_797a213d7d01b98ef12d53b0820ea64e.xhtml">backendsCommon</a></li><li class="navelem"><a class="el" href="dir_28bfe507f7e135bdae07c2a6b7f66696.xhtml">test</a></li><li class="navelem"><a class="el" href="dir_99a30439342d160875b21dac3498ad7f.xhtml">layerTests</a></li><li class="navelem"><a class="el" href="_quantize_test_impl_8cpp.xhtml">QuantizeTestImpl.cpp</a></li>
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