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<div class="title">LogicalTestImpl.cpp</div> </div>
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<a href="_logical_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> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2020 Arm Ltd and Contributors. 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="_logical_test_impl_8hpp.xhtml">LogicalTestImpl.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="_assert_8hpp.xhtml">armnn/utility/Assert.hpp</a>></span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_resolve_type_8hpp.xhtml">ResolveType.hpp</a>></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="_workload_8hpp.xhtml">backendsCommon/Workload.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_data_8hpp.xhtml">backendsCommon/WorkloadData.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.xhtml">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.xhtml">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.xhtml">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> <span class="keyword">template</span> <std::<span class="keywordtype">size_t</span> NumDims></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t, NumDims></a> LogicalUnaryTestHelper(</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <a class="code" href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8">armnn::UnaryOperation</a> op,</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_shape.xhtml">armnn::TensorShape</a>& inputShape,</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  std::vector<uint8_t> input,</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>& outputShape,</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  std::vector<uint8_t> expectedOutput,</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory)</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>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inputShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == NumDims);</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a>);</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="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(outputShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == NumDims);</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a>);</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>  <span class="keyword">auto</span> inputTensor = MakeTensor<uint8_t, NumDims>(inputTensorInfo, input);</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> </div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult <uint8_t, NumDims></a> ret(outputTensorInfo);</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  std::unique_ptr <armnn::ITensorHandle> inputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  std::unique_ptr <armnn::ITensorHandle> outputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(outputTensorInfo);</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>  <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">armnn::ElementwiseUnaryDescriptor</a> desc(op);</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <a class="code" href="structarmnn_1_1_elementwise_unary_queue_descriptor.xhtml">armnn::ElementwiseUnaryQueueDescriptor</a> qDesc;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  qDesc.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a> = desc;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <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="l00050"></a><span class="lineno"> 50</span>  AddInputToWorkload(qDesc, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  AddOutputToWorkload(qDesc, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> </div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keyword">auto</span> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a12d2c4e0f0b0d6b36d8a3e14bf69f9e4">CreateElementwiseUnary</a>(qDesc, info);</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  inputHandle->Allocate();</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  outputHandle->Allocate();</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>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), inputTensor.origin());</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  workload->PostAllocationConfigure();</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  ExecuteWorkload(*workload, memoryManager);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(ret.output.origin(), outputHandle.get());</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> </div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  ret.outputExpected = MakeTensor<uint8_t, NumDims>(outputTensorInfo, expectedOutput);</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  ret.compareBoolean = <span class="keyword">true</span>;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">return</span> ret;</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> </div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="keyword">template</span> <std::<span class="keywordtype">size_t</span> NumDims></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t, NumDims></a> LogicalBinaryTestHelper(</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <a class="code" href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379e">armnn::LogicalBinaryOperation</a> op,</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>& inputShape0,</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>& inputShape1,</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  std::vector<uint8_t> input0,</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  std::vector<uint8_t> input1,</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>& outputShape,</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  std::vector<uint8_t> expectedOutput,</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory)</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> {</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inputShape0.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == NumDims);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo0(inputShape0, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a>);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inputShape1.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == NumDims);</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo1(inputShape1, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a>);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(outputShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == NumDims);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a>);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> </div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keyword">auto</span> inputTensor0 = MakeTensor<uint8_t, NumDims>(inputTensorInfo0, input0);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keyword">auto</span> inputTensor1 = MakeTensor<uint8_t, NumDims>(inputTensorInfo1, input1);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> </div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult <uint8_t, NumDims></a> ret(outputTensorInfo);</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> </div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  std::unique_ptr <armnn::ITensorHandle> inputHandle0 = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo0);</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  std::unique_ptr <armnn::ITensorHandle> inputHandle1 = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo1);</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  std::unique_ptr <armnn::ITensorHandle> outputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(outputTensorInfo);</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>  <a class="code" href="structarmnn_1_1_logical_binary_descriptor.xhtml">armnn::LogicalBinaryDescriptor</a> desc(op);</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <a class="code" href="structarmnn_1_1_logical_binary_queue_descriptor.xhtml">armnn::LogicalBinaryQueueDescriptor</a> qDesc;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  qDesc.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a> = desc;</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> info;</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  AddInputToWorkload(qDesc, info, inputTensorInfo0, inputHandle0.get());</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  AddInputToWorkload(qDesc, info, inputTensorInfo1, inputHandle1.get());</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  AddOutputToWorkload(qDesc, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keyword">auto</span> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a5f1d0ed7b67cd7fefa421d5fd1971d62">CreateLogicalBinary</a>(qDesc, info);</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>  inputHandle0->Allocate();</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  inputHandle1->Allocate();</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  outputHandle->Allocate();</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>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle0.get(), inputTensor0.origin());</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle1.get(), inputTensor1.origin());</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> </div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  workload->PostAllocationConfigure();</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  ExecuteWorkload(*workload, memoryManager);</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> </div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(ret.output.origin(), outputHandle.get());</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> </div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  ret.outputExpected = MakeTensor<uint8_t, NumDims>(outputTensorInfo, expectedOutput);</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  ret.compareBoolean = <span class="keyword">true</span>;</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> }</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> </div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> <span class="keyword">class </span>UnaryTestData</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> {</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  UnaryTestData() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keyword">virtual</span> ~UnaryTestData() = <span class="keywordflow">default</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"> 135</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> m_InputShape;</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> m_OutputShape;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  std::vector<uint8_t> m_InputData;</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> </div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  std::vector<uint8_t> m_OutputNot;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> };</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> </div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> <span class="keyword">class </span>BinaryTestData</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> {</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  BinaryTestData() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keyword">virtual</span> ~BinaryTestData() = <span class="keywordflow">default</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"> 149</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> m_InputShape0;</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> m_InputShape1;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> m_OutputShape;</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>  std::vector<uint8_t> m_InputData0;</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  std::vector<uint8_t> m_InputData1;</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> </div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  std::vector<uint8_t> m_OutputAnd;</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  std::vector<uint8_t> m_OutputOr;</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> };</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="keyword">class </span>SimpleUnaryTestData : <span class="keyword">public</span> UnaryTestData</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> {</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  SimpleUnaryTestData() : UnaryTestData()</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  {</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  m_InputShape = { 1, 1, 1, 4 };</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  m_OutputShape = m_InputShape;</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> </div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  m_InputData =</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  {</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keyword">true</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">true</span></div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  };</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> </div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  m_OutputNot =</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  {</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keyword">false</span>, <span class="keyword">true</span>, <span class="keyword">true</span>, <span class="keyword">false</span></div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  };</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  }</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> };</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> </div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> <span class="keyword">class </span>SimpleUnaryIntTestData : <span class="keyword">public</span> UnaryTestData</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> {</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  SimpleUnaryIntTestData() : UnaryTestData()</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  {</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  m_InputShape = { 1, 1, 1, 4 };</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  m_OutputShape = m_InputShape;</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> </div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  m_InputData =</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  {</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  1, 11, 111, 0</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  };</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> </div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  m_OutputNot =</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  {</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  0, 0, 0, 1</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  };</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  }</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> };</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> </div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> <span class="keyword">class </span>SimpleBinaryTestData : <span class="keyword">public</span> BinaryTestData</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> {</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  SimpleBinaryTestData() : BinaryTestData()</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  {</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  m_InputShape0 = { 1, 1, 1, 4 };</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  m_InputShape1 = m_InputShape0;</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  m_OutputShape = m_InputShape1;</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> </div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  m_InputData0 =</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  {</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keyword">true</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">true</span></div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  };</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> </div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  m_InputData1 =</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  {</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keyword">true</span>, <span class="keyword">false</span>, <span class="keyword">true</span>, <span class="keyword">false</span></div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  };</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> </div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  m_OutputAnd =</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  {</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keyword">true</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span></div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  };</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> </div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  m_OutputOr =</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  {</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="keyword">true</span>, <span class="keyword">false</span>, <span class="keyword">true</span>, <span class="keyword">true</span></div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  };</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  }</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span> };</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> </div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> <span class="keyword">class </span>SimpleBinaryIntTestData : <span class="keyword">public</span> BinaryTestData</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> {</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  SimpleBinaryIntTestData() : BinaryTestData()</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  {</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  m_InputShape0 = { 1, 1, 1, 4 };</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  m_InputShape1 = m_InputShape0;</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  m_OutputShape = m_InputShape1;</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> </div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  m_InputData0 =</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  {</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  1, 11, 111, 0</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  };</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span> </div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  m_InputData1 =</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  {</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  0, 111, 111, 0</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  };</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> </div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  m_OutputAnd =</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  {</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  0, 1, 1, 0</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  };</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span> </div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  m_OutputOr =</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  {</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  1, 1, 1, 0</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  };</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  }</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span> };</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> </div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span> <span class="keyword">class </span>BroadcastBinary1TestData : <span class="keyword">public</span> BinaryTestData</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span> {</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  BroadcastBinary1TestData() : BinaryTestData()</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  {</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  m_InputShape0 = { 1, 1, 1, 4 };</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  m_InputShape1 = { 1, 1, 1, 1 };</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  m_OutputShape = m_InputShape0;</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span> </div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  m_InputData0 =</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  {</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keyword">true</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">true</span></div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  };</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span> </div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  m_InputData1 =</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  {</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keyword">true</span></div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  };</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span> </div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  m_OutputAnd =</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  {</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keyword">true</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">true</span></div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  };</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span> </div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  m_OutputOr =</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  {</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <span class="keyword">true</span>, <span class="keyword">true</span>, <span class="keyword">true</span>, <span class="keyword">true</span></div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  };</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  }</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span> };</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span> </div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span> <span class="keyword">class </span>BroadcastBinary2TestData : <span class="keyword">public</span> BinaryTestData</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span> {</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  BroadcastBinary2TestData() : BinaryTestData()</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  {</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  m_InputShape0 = { 1, 1, 1, 1 };</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  m_InputShape1 = { 1, 1, 1, 4 };</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  m_OutputShape = m_InputShape1;</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span> </div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  m_InputData0 =</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  {</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keyword">true</span></div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  };</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span> </div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  m_InputData1 =</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  {</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keyword">true</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">true</span></div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  };</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span> </div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  m_OutputAnd =</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  {</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keyword">true</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">true</span></div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  };</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span> </div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  m_OutputOr =</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  {</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keyword">true</span>, <span class="keyword">true</span>, <span class="keyword">true</span>, <span class="keyword">true</span></div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  };</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  }</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span> };</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span> </div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span> <span class="keyword">class </span>BroadcastBinary3TestData : <span class="keyword">public</span> BinaryTestData</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span> {</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  BroadcastBinary3TestData() : BinaryTestData()</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  {</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  m_InputShape0 = { 1, 1, 1, 4 };</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  m_InputShape1 = { 1, 1, 1, 1 };</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  m_OutputShape = m_InputShape0;</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span> </div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  m_InputData0 =</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  {</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <span class="keyword">true</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">true</span></div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  };</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span> </div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  m_InputData1 =</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  {</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <span class="keyword">false</span></div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  };</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span> </div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  m_OutputAnd =</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  {</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span></div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  };</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span> </div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  m_OutputOr =</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  {</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="keyword">true</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">true</span></div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  };</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  }</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span> };</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span> </div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span> <span class="keyword">static</span> SimpleUnaryTestData s_SimpleUnaryTestData;</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span> <span class="keyword">static</span> SimpleBinaryTestData s_SimpleBinaryTestData;</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span> </div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span> <span class="keyword">static</span> SimpleUnaryIntTestData s_SimpleUnaryIntTestData;</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span> <span class="keyword">static</span> SimpleBinaryIntTestData s_SimpleBinaryIntTestData;</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span> </div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span> <span class="keyword">static</span> BroadcastBinary1TestData s_BroadcastBinary1TestData;</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span> <span class="keyword">static</span> BroadcastBinary2TestData s_BroadcastBinary2TestData;</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span> <span class="keyword">static</span> BroadcastBinary3TestData s_BroadcastBinary3TestData;</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span> </div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span> </div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span> } <span class="comment">// anonymous namespace</span></div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span> </div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span> <span class="comment">// Unary - Not</span></div><div class="line"><a name="l00369"></a><span class="lineno"><a class="line" href="_logical_test_impl_8hpp.xhtml#afcf67ea94facd8c1f2dafa0835907882"> 369</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t, 4></a> <a class="code" href="_logical_test_impl_8cpp.xhtml#afcf67ea94facd8c1f2dafa0835907882">LogicalNotTest</a>(<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory)</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span> {</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <span class="keywordflow">return</span> LogicalUnaryTestHelper<4>(workloadFactory,</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  memoryManager,</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  <a class="code" href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc">armnn::UnaryOperation::LogicalNot</a>,</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  s_SimpleUnaryTestData.m_InputShape,</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  s_SimpleUnaryTestData.m_InputData,</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  s_SimpleUnaryTestData.m_OutputShape,</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  s_SimpleUnaryTestData.m_OutputNot,</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  tensorHandleFactory);</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span> }</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span> </div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span> <span class="comment">// Unary - Not with integers</span></div><div class="line"><a name="l00384"></a><span class="lineno"><a class="line" href="_logical_test_impl_8hpp.xhtml#a832e2e0b30c5730a3185a6cf630eba80"> 384</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t, 4></a> <a class="code" href="_logical_test_impl_8cpp.xhtml#a832e2e0b30c5730a3185a6cf630eba80">LogicalNotIntTest</a>(<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory)</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span> {</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="keywordflow">return</span> LogicalUnaryTestHelper<4>(workloadFactory,</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  memoryManager,</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  <a class="code" href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc">armnn::UnaryOperation::LogicalNot</a>,</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  s_SimpleUnaryIntTestData.m_InputShape,</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  s_SimpleUnaryIntTestData.m_InputData,</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  s_SimpleUnaryIntTestData.m_OutputShape,</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  s_SimpleUnaryIntTestData.m_OutputNot,</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  tensorHandleFactory);</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span> }</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span> </div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span> <span class="comment">// Binary - And</span></div><div class="line"><a name="l00399"></a><span class="lineno"><a class="line" href="_logical_test_impl_8hpp.xhtml#a3ae0ac93173ddba4f948e6154eee8e4e"> 399</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t, 4></a> <a class="code" href="_logical_test_impl_8cpp.xhtml#a3ae0ac93173ddba4f948e6154eee8e4e">LogicalAndTest</a>(<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory)</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span> {</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keywordflow">return</span> LogicalBinaryTestHelper<4>(workloadFactory,</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  memoryManager,</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <a class="code" href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55">armnn::LogicalBinaryOperation::LogicalAnd</a>,</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  s_SimpleBinaryTestData.m_InputShape0,</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  s_SimpleBinaryTestData.m_InputShape1,</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  s_SimpleBinaryTestData.m_InputData0,</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  s_SimpleBinaryTestData.m_InputData1,</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  s_SimpleBinaryTestData.m_OutputShape,</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  s_SimpleBinaryTestData.m_OutputAnd,</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  tensorHandleFactory);</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span> }</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span> </div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span> <span class="comment">// Binary - Or</span></div><div class="line"><a name="l00416"></a><span class="lineno"><a class="line" href="_logical_test_impl_8hpp.xhtml#acce4d24bfc069740b462d5e9d3ca703b"> 416</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t, 4></a> <a class="code" href="_logical_test_impl_8cpp.xhtml#acce4d24bfc069740b462d5e9d3ca703b">LogicalOrTest</a>(<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory)</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span> {</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="keywordflow">return</span> LogicalBinaryTestHelper<4>(workloadFactory,</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  memoryManager,</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <a class="code" href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379ea74ce78827b02c650a20b149765388247">armnn::LogicalBinaryOperation::LogicalOr</a>,</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  s_SimpleBinaryTestData.m_InputShape0,</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  s_SimpleBinaryTestData.m_InputShape1,</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  s_SimpleBinaryTestData.m_InputData0,</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  s_SimpleBinaryTestData.m_InputData1,</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  s_SimpleBinaryTestData.m_OutputShape,</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  s_SimpleBinaryTestData.m_OutputOr,</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  tensorHandleFactory);</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span> }</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span> </div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span> <span class="comment">// Binary - And with integers</span></div><div class="line"><a name="l00433"></a><span class="lineno"><a class="line" href="_logical_test_impl_8hpp.xhtml#afd808a5a4d47078e50ff3f370edd49fc"> 433</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t, 4></a> <a class="code" href="_logical_test_impl_8cpp.xhtml#afd808a5a4d47078e50ff3f370edd49fc">LogicalAndIntTest</a>(<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory)</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span> {</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  <span class="keywordflow">return</span> LogicalBinaryTestHelper<4>(workloadFactory,</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  memoryManager,</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <a class="code" href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55">armnn::LogicalBinaryOperation::LogicalAnd</a>,</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  s_SimpleBinaryIntTestData.m_InputShape0,</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  s_SimpleBinaryIntTestData.m_InputShape1,</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  s_SimpleBinaryIntTestData.m_InputData0,</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  s_SimpleBinaryIntTestData.m_InputData1,</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  s_SimpleBinaryIntTestData.m_OutputShape,</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  s_SimpleBinaryIntTestData.m_OutputAnd,</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  tensorHandleFactory);</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span> }</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span> </div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span> <span class="comment">// Binary - Or with integers</span></div><div class="line"><a name="l00450"></a><span class="lineno"><a class="line" href="_logical_test_impl_8hpp.xhtml#a0d9ea4d93e7e42c82c1285188652cc11"> 450</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t, 4></a> <a class="code" href="_logical_test_impl_8cpp.xhtml#a0d9ea4d93e7e42c82c1285188652cc11">LogicalOrIntTest</a>(<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory)</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span> {</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <span class="keywordflow">return</span> LogicalBinaryTestHelper<4>(workloadFactory,</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  memoryManager,</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <a class="code" href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379ea74ce78827b02c650a20b149765388247">armnn::LogicalBinaryOperation::LogicalOr</a>,</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  s_SimpleBinaryIntTestData.m_InputShape0,</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  s_SimpleBinaryIntTestData.m_InputShape1,</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  s_SimpleBinaryIntTestData.m_InputData0,</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  s_SimpleBinaryIntTestData.m_InputData1,</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  s_SimpleBinaryIntTestData.m_OutputShape,</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  s_SimpleBinaryIntTestData.m_OutputOr,</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  tensorHandleFactory);</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span> }</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span> </div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span> <span class="comment">// Binary - And Broadcast</span></div><div class="line"><a name="l00467"></a><span class="lineno"><a class="line" href="_logical_test_impl_8hpp.xhtml#a824634ec1d8f6d7ccdbffa571f6be213"> 467</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t, 4></a> <a class="code" href="_logical_test_impl_8cpp.xhtml#a824634ec1d8f6d7ccdbffa571f6be213">LogicalAndBroadcast1Test</a>(</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory)</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span> {</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  <span class="keywordflow">return</span> LogicalBinaryTestHelper<4>(workloadFactory,</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  memoryManager,</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  <a class="code" href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55">armnn::LogicalBinaryOperation::LogicalAnd</a>,</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  s_BroadcastBinary1TestData.m_InputShape0,</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  s_BroadcastBinary1TestData.m_InputShape1,</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  s_BroadcastBinary1TestData.m_InputData0,</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  s_BroadcastBinary1TestData.m_InputData1,</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  s_BroadcastBinary1TestData.m_OutputShape,</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  s_BroadcastBinary1TestData.m_OutputAnd,</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  tensorHandleFactory);</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span> }</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span> </div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span> <span class="comment">// Binary - Or Broadcast</span></div><div class="line"><a name="l00485"></a><span class="lineno"><a class="line" href="_logical_test_impl_8hpp.xhtml#a9405e5bb7134cf16012a466e32991baf"> 485</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t, 4></a> <a class="code" href="_logical_test_impl_8cpp.xhtml#a9405e5bb7134cf16012a466e32991baf">LogicalOrBroadcast1Test</a>(</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory)</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span> {</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <span class="keywordflow">return</span> LogicalBinaryTestHelper<4>(workloadFactory,</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  memoryManager,</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <a class="code" href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379ea74ce78827b02c650a20b149765388247">armnn::LogicalBinaryOperation::LogicalOr</a>,</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  s_BroadcastBinary1TestData.m_InputShape0,</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  s_BroadcastBinary1TestData.m_InputShape1,</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  s_BroadcastBinary1TestData.m_InputData0,</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  s_BroadcastBinary1TestData.m_InputData1,</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  s_BroadcastBinary1TestData.m_OutputShape,</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  s_BroadcastBinary1TestData.m_OutputOr,</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  tensorHandleFactory);</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span> }</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span> </div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span> <span class="comment">// Binary - And Broadcast</span></div><div class="line"><a name="l00503"></a><span class="lineno"><a class="line" href="_logical_test_impl_8hpp.xhtml#af1cc210d3bec3960b6f7e3eb23c3a128"> 503</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t, 4></a> <a class="code" href="_logical_test_impl_8cpp.xhtml#af1cc210d3bec3960b6f7e3eb23c3a128">LogicalAndBroadcast2Test</a>(</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory)</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span> {</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <span class="keywordflow">return</span> LogicalBinaryTestHelper<4>(workloadFactory,</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  memoryManager,</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <a class="code" href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55">armnn::LogicalBinaryOperation::LogicalAnd</a>,</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  s_BroadcastBinary2TestData.m_InputShape0,</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  s_BroadcastBinary2TestData.m_InputShape1,</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  s_BroadcastBinary2TestData.m_InputData0,</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  s_BroadcastBinary2TestData.m_InputData1,</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  s_BroadcastBinary2TestData.m_OutputShape,</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  s_BroadcastBinary2TestData.m_OutputAnd,</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  tensorHandleFactory);</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span> }</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span> </div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span> <span class="comment">// Binary - Or Broadcast</span></div><div class="line"><a name="l00521"></a><span class="lineno"><a class="line" href="_logical_test_impl_8hpp.xhtml#a8d53c98177956fcac78ebff5839294ce"> 521</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t, 4></a> <a class="code" href="_logical_test_impl_8cpp.xhtml#a8d53c98177956fcac78ebff5839294ce">LogicalOrBroadcast2Test</a>(</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory)</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span> {</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <span class="keywordflow">return</span> LogicalBinaryTestHelper<4>(workloadFactory,</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  memoryManager,</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  <a class="code" href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379ea74ce78827b02c650a20b149765388247">armnn::LogicalBinaryOperation::LogicalOr</a>,</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  s_BroadcastBinary2TestData.m_InputShape0,</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  s_BroadcastBinary2TestData.m_InputShape1,</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  s_BroadcastBinary2TestData.m_InputData0,</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  s_BroadcastBinary2TestData.m_InputData1,</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  s_BroadcastBinary2TestData.m_OutputShape,</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  s_BroadcastBinary2TestData.m_OutputOr,</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  tensorHandleFactory);</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span> }</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span> </div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span> <span class="comment">// Binary - And Broadcast</span></div><div class="line"><a name="l00539"></a><span class="lineno"><a class="line" href="_logical_test_impl_8hpp.xhtml#a6ae9d15484317daa691ce776d8620568"> 539</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t, 4></a> <a class="code" href="_logical_test_impl_8cpp.xhtml#a6ae9d15484317daa691ce776d8620568">LogicalAndBroadcast3Test</a>(</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory)</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span> {</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <span class="keywordflow">return</span> LogicalBinaryTestHelper<4>(workloadFactory,</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  memoryManager,</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <a class="code" href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55">armnn::LogicalBinaryOperation::LogicalAnd</a>,</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  s_BroadcastBinary3TestData.m_InputShape0,</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  s_BroadcastBinary3TestData.m_InputShape1,</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  s_BroadcastBinary3TestData.m_InputData0,</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  s_BroadcastBinary3TestData.m_InputData1,</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  s_BroadcastBinary3TestData.m_OutputShape,</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  s_BroadcastBinary3TestData.m_OutputAnd,</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  tensorHandleFactory);</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span> }</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span> </div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span> <span class="comment">// Binary - Or Broadcast</span></div><div class="line"><a name="l00557"></a><span class="lineno"><a class="line" href="_logical_test_impl_8hpp.xhtml#a9aa3bdf558634703ddb446407b9df729"> 557</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t, 4></a> <a class="code" href="_logical_test_impl_8cpp.xhtml#a9aa3bdf558634703ddb446407b9df729">LogicalOrBroadcast3Test</a>(</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory)</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span> {</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  <span class="keywordflow">return</span> LogicalBinaryTestHelper<4>(workloadFactory,</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  memoryManager,</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  <a class="code" href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379ea74ce78827b02c650a20b149765388247">armnn::LogicalBinaryOperation::LogicalOr</a>,</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  s_BroadcastBinary3TestData.m_InputShape0,</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  s_BroadcastBinary3TestData.m_InputShape1,</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  s_BroadcastBinary3TestData.m_InputData0,</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  s_BroadcastBinary3TestData.m_InputData1,</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  s_BroadcastBinary3TestData.m_OutputShape,</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  s_BroadcastBinary3TestData.m_OutputOr,</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  tensorHandleFactory);</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span> }</div><div class="ttc" id="_workload_data_8hpp_xhtml"><div class="ttname"><a href="_workload_data_8hpp.xhtml">WorkloadData.hpp</a></div></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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</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#l00152">Tensor.hpp:152</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#l00022">WorkloadFactory.hpp:22</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="namespacearmnn_xhtml_a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55"><div class="ttname"><a href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55">armnn::LogicalBinaryOperation::LogicalAnd</a></div></div>
<div class="ttc" id="_logical_test_impl_8cpp_xhtml_a824634ec1d8f6d7ccdbffa571f6be213"><div class="ttname"><a href="_logical_test_impl_8cpp.xhtml#a824634ec1d8f6d7ccdbffa571f6be213">LogicalAndBroadcast1Test</a></div><div class="ttdeci">LayerTestResult< uint8_t, 4 > LogicalAndBroadcast1Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_logical_test_impl_8cpp_source.xhtml#l00467">LogicalTestImpl.cpp:467</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a12d2c4e0f0b0d6b36d8a3e14bf69f9e4"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a12d2c4e0f0b0d6b36d8a3e14bf69f9e4">armnn::IWorkloadFactory::CreateElementwiseUnary</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateElementwiseUnary(const ElementwiseUnaryQueueDescriptor &descriptor, const WorkloadInfo &Info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01410">WorkloadFactory.cpp:1410</a></div></div>
<div class="ttc" id="structarmnn_1_1_logical_binary_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_logical_binary_descriptor.xhtml">armnn::LogicalBinaryDescriptor</a></div><div class="ttdoc">A LogicalBinaryDescriptor for the LogicalBinaryLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01284">Descriptors.hpp:1284</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="_logical_test_impl_8cpp_xhtml_a0d9ea4d93e7e42c82c1285188652cc11"><div class="ttname"><a href="_logical_test_impl_8cpp.xhtml#a0d9ea4d93e7e42c82c1285188652cc11">LogicalOrIntTest</a></div><div class="ttdeci">LayerTestResult< uint8_t, 4 > LogicalOrIntTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_logical_test_impl_8cpp_source.xhtml#l00450">LogicalTestImpl.cpp:450</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00057">WorkloadData.hpp:57</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a2da4db0140d1a6dc69c9c82e9ef5379e"><div class="ttname"><a href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379e">armnn::LogicalBinaryOperation</a></div><div class="ttdeci">LogicalBinaryOperation</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00088">Types.hpp:88</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc"><div class="ttname"><a href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc">armnn::UnaryOperation::LogicalNot</a></div></div>
<div class="ttc" id="_logical_test_impl_8cpp_xhtml_a832e2e0b30c5730a3185a6cf630eba80"><div class="ttname"><a href="_logical_test_impl_8cpp.xhtml#a832e2e0b30c5730a3185a6cf630eba80">LogicalNotIntTest</a></div><div class="ttdeci">LayerTestResult< uint8_t, 4 > LogicalNotIntTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_logical_test_impl_8cpp_source.xhtml#l00384">LogicalTestImpl.cpp:384</a></div></div>
<div class="ttc" id="_logical_test_impl_8cpp_xhtml_a6ae9d15484317daa691ce776d8620568"><div class="ttname"><a href="_logical_test_impl_8cpp.xhtml#a6ae9d15484317daa691ce776d8620568">LogicalAndBroadcast3Test</a></div><div class="ttdeci">LayerTestResult< uint8_t, 4 > LogicalAndBroadcast3Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_logical_test_impl_8cpp_source.xhtml#l00539">LogicalTestImpl.cpp:539</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="_logical_test_impl_8cpp_xhtml_a8d53c98177956fcac78ebff5839294ce"><div class="ttname"><a href="_logical_test_impl_8cpp.xhtml#a8d53c98177956fcac78ebff5839294ce">LogicalOrBroadcast2Test</a></div><div class="ttdeci">LayerTestResult< uint8_t, 4 > LogicalOrBroadcast2Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_logical_test_impl_8cpp_source.xhtml#l00521">LogicalTestImpl.cpp:521</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< IMemoryManager > IMemoryManagerSharedPtr</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.xhtml#l00092">IBackendInternal.hpp:92</a></div></div>
<div class="ttc" id="_assert_8hpp_xhtml_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00014">Assert.hpp:14</a></div></div>
<div class="ttc" id="_logical_test_impl_8cpp_xhtml_afcf67ea94facd8c1f2dafa0835907882"><div class="ttname"><a href="_logical_test_impl_8cpp.xhtml#afcf67ea94facd8c1f2dafa0835907882">LogicalNotTest</a></div><div class="ttdeci">LayerTestResult< uint8_t, 4 > LogicalNotTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_logical_test_impl_8cpp_source.xhtml#l00369">LogicalTestImpl.cpp:369</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_a5f1d0ed7b67cd7fefa421d5fd1971d62"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a5f1d0ed7b67cd7fefa421d5fd1971d62">armnn::IWorkloadFactory::CreateLogicalBinary</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateLogicalBinary(const LogicalBinaryQueueDescriptor &descriptor, const WorkloadInfo &Info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01471">WorkloadFactory.cpp:1471</a></div></div>
<div class="ttc" id="_logical_test_impl_8cpp_xhtml_a3ae0ac93173ddba4f948e6154eee8e4e"><div class="ttname"><a href="_logical_test_impl_8cpp.xhtml#a3ae0ac93173ddba4f948e6154eee8e4e">LogicalAndTest</a></div><div class="ttdeci">LayerTestResult< uint8_t, 4 > LogicalAndTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_logical_test_impl_8cpp_source.xhtml#l00399">LogicalTestImpl.cpp:399</a></div></div>
<div class="ttc" id="structarmnn_1_1_logical_binary_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_logical_binary_queue_descriptor.xhtml">armnn::LogicalBinaryQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00666">WorkloadData.hpp:666</a></div></div>
<div class="ttc" id="_logical_test_impl_8hpp_xhtml"><div class="ttname"><a href="_logical_test_impl_8hpp.xhtml">LogicalTestImpl.hpp</a></div></div>
<div class="ttc" id="_assert_8hpp_xhtml"><div class="ttname"><a href="_assert_8hpp.xhtml">Assert.hpp</a></div></div>
<div class="ttc" id="_workload_8hpp_xhtml"><div class="ttname"><a href="_workload_8hpp.xhtml">Workload.hpp</a></div></div>
<div class="ttc" id="structarmnn_1_1_elementwise_unary_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">armnn::ElementwiseUnaryDescriptor</a></div><div class="ttdoc">A ElementwiseUnaryDescriptor for the ElementwiseUnaryLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00098">Descriptors.hpp:98</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="classarmnn_1_1_tensor_shape_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdoc">Function that returns the tensor rank. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00174">Tensor.cpp:174</a></div></div>
<div class="ttc" id="_logical_test_impl_8cpp_xhtml_af1cc210d3bec3960b6f7e3eb23c3a128"><div class="ttname"><a href="_logical_test_impl_8cpp.xhtml#af1cc210d3bec3960b6f7e3eb23c3a128">LogicalAndBroadcast2Test</a></div><div class="ttdeci">LayerTestResult< uint8_t, 4 > LogicalAndBroadcast2Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_logical_test_impl_8cpp_source.xhtml#l00503">LogicalTestImpl.cpp:503</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.xhtml#l00041">ITensorHandleFactory.hpp:41</a></div></div>
<div class="ttc" id="_logical_test_impl_8cpp_xhtml_afd808a5a4d47078e50ff3f370edd49fc"><div class="ttname"><a href="_logical_test_impl_8cpp.xhtml#afd808a5a4d47078e50ff3f370edd49fc">LogicalAndIntTest</a></div><div class="ttdeci">LayerTestResult< uint8_t, 4 > LogicalAndIntTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_logical_test_impl_8cpp_source.xhtml#l00433">LogicalTestImpl.cpp:433</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a1cfaa710db2a54673b21d2ea2da757c8"><div class="ttname"><a href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8">armnn::UnaryOperation</a></div><div class="ttdeci">UnaryOperation</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00094">Types.hpp:94</a></div></div>
<div class="ttc" id="_logical_test_impl_8cpp_xhtml_acce4d24bfc069740b462d5e9d3ca703b"><div class="ttname"><a href="_logical_test_impl_8cpp.xhtml#acce4d24bfc069740b462d5e9d3ca703b">LogicalOrTest</a></div><div class="ttdeci">LayerTestResult< uint8_t, 4 > LogicalOrTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_logical_test_impl_8cpp_source.xhtml#l00416">LogicalTestImpl.cpp:416</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#l00030">LayerTestResult.hpp:30</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a2da4db0140d1a6dc69c9c82e9ef5379ea74ce78827b02c650a20b149765388247"><div class="ttname"><a href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379ea74ce78827b02c650a20b149765388247">armnn::LogicalBinaryOperation::LogicalOr</a></div></div>
<div class="ttc" id="_logical_test_impl_8cpp_xhtml_a9aa3bdf558634703ddb446407b9df729"><div class="ttname"><a href="_logical_test_impl_8cpp.xhtml#a9aa3bdf558634703ddb446407b9df729">LogicalOrBroadcast3Test</a></div><div class="ttdeci">LayerTestResult< uint8_t, 4 > LogicalOrBroadcast3Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_logical_test_impl_8cpp_source.xhtml#l00557">LogicalTestImpl.cpp:557</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_a375f11dd42ff042435e8771cf287b20c"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">armnn::ITensorHandleFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo) const =0</div></div>
<div class="ttc" id="_logical_test_impl_8cpp_xhtml_a9405e5bb7134cf16012a466e32991baf"><div class="ttname"><a href="_logical_test_impl_8cpp.xhtml#a9405e5bb7134cf16012a466e32991baf">LogicalOrBroadcast1Test</a></div><div class="ttdeci">LayerTestResult< uint8_t, 4 > LogicalOrBroadcast1Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_logical_test_impl_8cpp_source.xhtml#l00485">LogicalTestImpl.cpp:485</a></div></div>
<div class="ttc" id="structarmnn_1_1_elementwise_unary_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_queue_descriptor.xhtml">armnn::ElementwiseUnaryQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00661">WorkloadData.hpp:661</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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