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<a href="_quantize_test_impl_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_quantize_test_impl_8hpp.html">QuantizeTestImpl.hpp</a>"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_resolve_type_8hpp.html">ResolveType.hpp</a>></span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> </div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="include_2armnn_2backends_2_i_backend_internal_8hpp.html">armnn/backends/IBackendInternal.hpp</a>></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <<a class="code" href="_workload_factory_8hpp.html">backendsCommon/WorkloadFactory.hpp</a>></span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> </div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <<a class="code" href="_tensor_copy_utils_8hpp.html">backendsCommon/test/TensorCopyUtils.hpp</a>></span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <<a class="code" href="_workload_test_utils_8hpp.html">backendsCommon/test/WorkloadTestUtils.hpp</a>></span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> </div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <<a class="code" href="_tensor_helpers_8hpp.html">test/TensorHelpers.hpp</a>></span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> </div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="keyword">namespace</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> {</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> </div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, std::<span class="keywordtype">size_t</span> Dim></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <a class="code" href="struct_layer_test_result.html">LayerTestResult<T, Dim></a> QuantizeTestImpl(</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>& inputTensorInfo,</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>& outputTensorInfo,</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keyword">const</span> std::vector<float>& inputData,</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keyword">const</span> std::vector<T>& expectedOutputData,</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <a class="code" href="structarmnn_1_1_quantize_queue_descriptor.html">armnn::QuantizeQueueDescriptor</a> descriptor)</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> {</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  boost::ignore_unused(memoryManager);</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  boost::multi_array<float, Dim> input = MakeTensor<float, Dim>(inputTensorInfo, inputData);</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <a class="code" href="struct_layer_test_result.html">LayerTestResult<T, Dim></a> ret(outputTensorInfo);</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  ret.outputExpected = MakeTensor<T, Dim>(outputTensorInfo, expectedOutputData);</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> </div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <a class="code" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  std::unique_ptr<armnn::IWorkload> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a1942c254ba89d17803e5a636aa927d90">CreateQuantize</a>(descriptor, info);</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> </div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  inputHandle->Allocate();</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  outputHandle->Allocate();</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <a class="code" href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), input.data());</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> </div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  ExecuteWorkload(*workload, memoryManager);</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <a class="code" href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(ret.output.data(), outputHandle.get());</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> </div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> }</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="keyword">template</span> <armnn::DataType ArmnnOutputType, <span class="keyword">typename</span> T = armnn::ResolveType<ArmnnOutputType>></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <a class="code" href="struct_layer_test_result.html">LayerTestResult<T, 4></a> QuantizeSimpleTest(</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> {</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <a class="code" href="structarmnn_1_1_quantize_queue_descriptor.html">armnn::QuantizeQueueDescriptor</a> desc;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo({1, 2, 2, 3}, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">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> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  std::vector<float> inputData = std::vector<float>(</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  {</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  1.0f, 2.0f, 3.0f,</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  7.0f, 8.0f, 9.0f,</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  10.0f, 11.0f, 12.0f,</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  });</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> </div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  std::vector<T> expectedOutputData = std::vector<T>(</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  {</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  3, 5, 7,</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  9, 11, 13,</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  15, 17, 19,</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  21, 23, 25,</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  });</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> </div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordflow">return</span> QuantizeTestImpl<T, 4>(workloadFactory,</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  memoryManager,</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  inputTensorInfo,</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  outputTensorInfo,</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  inputData,</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  expectedOutputData,</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  desc);</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> }</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="keyword">template</span> <armnn::DataType ArmnnOutputType, <span class="keyword">typename</span> T = armnn::ResolveType<ArmnnOutputType>></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <a class="code" href="struct_layer_test_result.html">LayerTestResult<T, 4></a> QuantizeClampTest(</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> {</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <a class="code" href="structarmnn_1_1_quantize_queue_descriptor.html">armnn::QuantizeQueueDescriptor</a> desc;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo({1, 1, 2, 1}, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">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> </div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keyword">const</span> T max = std::numeric_limits<T>::max();</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keyword">const</span> T min = std::numeric_limits<T>::lowest();</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> </div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  std::vector<float> inputData = std::vector<float>(</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  {</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  -100.0f, 100.0f</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  });</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> </div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  std::vector<T> expectedOutputData = std::vector<T>(</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  {</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  min, max</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  });</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordflow">return</span> QuantizeTestImpl<T, 4>(workloadFactory,</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  memoryManager,</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  inputTensorInfo,</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  outputTensorInfo,</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  inputData,</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  expectedOutputData,</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  desc);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> }</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> </div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> } <span class="comment">// anonymous namespace</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div><div class="line"><a name="l00128"></a><span class="lineno"><a class="line" href="_quantize_test_impl_8hpp.html#a041d534027842cde6747e50651d23fa3"> 128</a></span> <a class="code" href="struct_layer_test_result.html">LayerTestResult<uint8_t, 4></a> <a class="code" href="_quantize_test_impl_8cpp.html#a041d534027842cde6747e50651d23fa3">QuantizeSimpleUint8Test</a>(</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> {</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keywordflow">return</span> QuantizeSimpleTest<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> }</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div><div class="line"><a name="l00135"></a><span class="lineno"><a class="line" href="_quantize_test_impl_8hpp.html#af433076d80e2776cc16fe16c4616a2a4"> 135</a></span> <a class="code" href="struct_layer_test_result.html">LayerTestResult<uint8_t, 4></a> <a class="code" href="_quantize_test_impl_8cpp.html#af433076d80e2776cc16fe16c4616a2a4">QuantizeClampUint8Test</a>(</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> {</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">return</span> QuantizeClampTest<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager);</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> }</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> </div><div class="line"><a name="l00142"></a><span class="lineno"><a class="line" href="_quantize_test_impl_8hpp.html#a544d80e8fc86b2e5ed42b756b9d37159"> 142</a></span> <a class="code" href="struct_layer_test_result.html">LayerTestResult<int8_t, 4></a> <a class="code" href="_quantize_test_impl_8cpp.html#a544d80e8fc86b2e5ed42b756b9d37159">QuantizeClampAsymmInt8Test</a>(</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> {</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keywordflow">return</span> QuantizeClampTest<armnn::DataType::QAsymmS8>(workloadFactory, memoryManager);</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> }</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> </div><div class="line"><a name="l00149"></a><span class="lineno"><a class="line" href="_quantize_test_impl_8hpp.html#ac1ea8781a061b3f089230160c6f35bb7"> 149</a></span> <a class="code" href="struct_layer_test_result.html">LayerTestResult<int8_t, 4></a> <a class="code" href="_quantize_test_impl_8cpp.html#ac1ea8781a061b3f089230160c6f35bb7">QuantizeClampInt8Test</a>(</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> {</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordflow">return</span> QuantizeClampTest<armnn::DataType::QSymmS8>(workloadFactory, memoryManager);</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> }</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> </div><div class="line"><a name="l00156"></a><span class="lineno"><a class="line" href="_quantize_test_impl_8hpp.html#ab52e18e7cc1f4f6cff92f6a1d6ea503d"> 156</a></span> <a class="code" href="struct_layer_test_result.html">LayerTestResult<int16_t, 4></a> <a class="code" href="_quantize_test_impl_8cpp.html#ab52e18e7cc1f4f6cff92f6a1d6ea503d">QuantizeClampInt16Test</a>(</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> {</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordflow">return</span> QuantizeClampTest<armnn::DataType::QSymmS16>(workloadFactory, memoryManager);</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> }</div><div class="ttc" id="_workload_factory_8hpp_html"><div class="ttname"><a href="_workload_factory_8hpp.html">WorkloadFactory.hpp</a></div></div>
<div class="ttc" id="_quantize_test_impl_8cpp_html_af433076d80e2776cc16fe16c4616a2a4"><div class="ttname"><a href="_quantize_test_impl_8cpp.html#af433076d80e2776cc16fe16c4616a2a4">QuantizeClampUint8Test</a></div><div class="ttdeci">LayerTestResult< uint8_t, 4 > QuantizeClampUint8Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_quantize_test_impl_8cpp_source.html#l00135">QuantizeTestImpl.cpp:135</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_workload_factory_html"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.html#l00021">WorkloadFactory.hpp:21</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantize_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_quantize_queue_descriptor.html">armnn::QuantizeQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00257">WorkloadData.hpp:257</a></div></div>
<div class="ttc" id="_tensor_copy_utils_8cpp_html_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#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.html#l00009">TensorCopyUtils.cpp:9</a></div></div>
<div class="ttc" id="_quantize_test_impl_8cpp_html_a041d534027842cde6747e50651d23fa3"><div class="ttname"><a href="_quantize_test_impl_8cpp.html#a041d534027842cde6747e50651d23fa3">QuantizeSimpleUint8Test</a></div><div class="ttdeci">LayerTestResult< uint8_t, 4 > QuantizeSimpleUint8Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_quantize_test_impl_8cpp_source.html#l00128">QuantizeTestImpl.cpp:128</a></div></div>
<div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
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<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo, const bool IsMemoryManaged=true) const =0</div></div>
<div class="ttc" id="_quantize_test_impl_8cpp_html_ac1ea8781a061b3f089230160c6f35bb7"><div class="ttname"><a href="_quantize_test_impl_8cpp.html#ac1ea8781a061b3f089230160c6f35bb7">QuantizeClampInt8Test</a></div><div class="ttdeci">LayerTestResult< int8_t, 4 > QuantizeClampInt8Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_quantize_test_impl_8cpp_source.html#l00149">QuantizeTestImpl.cpp:149</a></div></div>
<div class="ttc" id="struct_layer_test_result_html"><div class="ttname"><a href="struct_layer_test_result.html">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.html#l00029">LayerTestResult.hpp:29</a></div></div>
<div class="ttc" id="_tensor_copy_utils_8cpp_html_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#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.html#l00014">TensorCopyUtils.cpp:14</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_backend_internal_html_a693b40e6b94e958836aeb0410ca186bd"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a></div><div class="ttdeci">std::shared_ptr< IMemoryManager > IMemoryManagerSharedPtr</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.html#l00090">IBackendInternal.hpp:90</a></div></div>
<div class="ttc" id="structarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div>
<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
<div class="ttc" id="_resolve_type_8hpp_html"><div class="ttname"><a href="_resolve_type_8hpp.html">ResolveType.hpp</a></div></div>
<div class="ttc" id="_quantize_test_impl_8cpp_html_a544d80e8fc86b2e5ed42b756b9d37159"><div class="ttname"><a href="_quantize_test_impl_8cpp.html#a544d80e8fc86b2e5ed42b756b9d37159">QuantizeClampAsymmInt8Test</a></div><div class="ttdeci">LayerTestResult< int8_t, 4 > QuantizeClampAsymmInt8Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_quantize_test_impl_8cpp_source.html#l00142">QuantizeTestImpl.cpp:142</a></div></div>
<div class="ttc" id="_workload_test_utils_8hpp_html"><div class="ttname"><a href="_workload_test_utils_8hpp.html">WorkloadTestUtils.hpp</a></div></div>
<div class="ttc" id="include_2armnn_2backends_2_i_backend_internal_8hpp_html"><div class="ttname"><a href="include_2armnn_2backends_2_i_backend_internal_8hpp.html">IBackendInternal.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a1942c254ba89d17803e5a636aa927d90"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a1942c254ba89d17803e5a636aa927d90">armnn::IWorkloadFactory::CreateQuantize</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateQuantize(const QuantizeQueueDescriptor &descriptor, const WorkloadInfo &Info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.html#l01341">WorkloadFactory.cpp:1341</a></div></div>
<div class="ttc" id="_quantize_test_impl_8cpp_html_ab52e18e7cc1f4f6cff92f6a1d6ea503d"><div class="ttname"><a href="_quantize_test_impl_8cpp.html#ab52e18e7cc1f4f6cff92f6a1d6ea503d">QuantizeClampInt16Test</a></div><div class="ttdeci">LayerTestResult< int16_t, 4 > QuantizeClampInt16Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_quantize_test_impl_8cpp_source.html#l00156">QuantizeTestImpl.cpp:156</a></div></div>
<div class="ttc" id="_tensor_copy_utils_8hpp_html"><div class="ttname"><a href="_tensor_copy_utils_8hpp.html">TensorCopyUtils.hpp</a></div></div>
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