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<div class="title">DebugTestImpl.cpp</div> </div>
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<a href="_debug_test_impl_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;</div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_debug_test_impl_8hpp.html">DebugTestImpl.hpp</a>&quot;</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;</div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_quantize_helper_8hpp.html">QuantizeHelper.hpp</a>&gt;</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_resolve_type_8hpp.html">ResolveType.hpp</a>&gt;</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;</div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;</div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_copy_utils_8hpp.html">backendsCommon/test/TensorCopyUtils.hpp</a>&gt;</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_test_utils_8hpp.html">backendsCommon/test/WorkloadTestUtils.hpp</a>&gt;</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_helpers_8hpp.html">test/TensorHelpers.hpp</a>&gt;</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="keyword">namespace</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;{</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> T, std::<span class="keywordtype">size_t</span> Dim&gt;</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;T, Dim&gt;</a> DebugTestImpl(</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager,</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>&amp; inputTensorInfo,</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>&amp; outputTensorInfo,</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; std::vector&lt;float&gt;&amp; inputData,</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; std::vector&lt;float&gt;&amp; outputExpectedData,</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; <a class="code" href="structarmnn_1_1_debug_queue_descriptor.html">armnn::DebugQueueDescriptor</a> descriptor,</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <span class="keyword">const</span> std::string expectedStringOutput,</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> qScale = 1.0f,</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; <span class="keyword">const</span> int32_t qOffset = 0)</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;{</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; boost::ignore_unused(memoryManager);</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; <span class="keywordflow">if</span>(armnn::IsQuantizedType&lt;T&gt;())</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; {</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(qScale);</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(qOffset);</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(qScale);</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(qOffset);</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; }</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; boost::multi_array&lt;T, Dim&gt; input =</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; MakeTensor&lt;T, Dim&gt;(inputTensorInfo, armnnUtils::QuantizedVector&lt;T&gt;(inputData, qScale, qOffset));</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;T, Dim&gt;</a> ret(outputTensorInfo);</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; ret.outputExpected =</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; MakeTensor&lt;T, Dim&gt;(outputTensorInfo, armnnUtils::QuantizedVector&lt;T&gt;(outputExpectedData, qScale, qOffset));</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; inputHandle =</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; outputHandle =</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <a class="code" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; std::unique_ptr&lt;armnn::IWorkload&gt; workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a00346a3754d9411bba2e29dc1f996ac6">CreateDebug</a>(descriptor, info);</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; inputHandle-&gt;Allocate();</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; outputHandle-&gt;Allocate();</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), input.data());</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; std::ostringstream oss;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; std::streambuf* coutStreambuf = std::cout.rdbuf();</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; std::cout.rdbuf(oss.rdbuf());</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; ExecuteWorkload(*workload, memoryManager);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; std::cout.rdbuf(coutStreambuf);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; BOOST_TEST(oss.str() == expectedStringOutput);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(ret.output.data(), outputHandle.get());</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160;}</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;<span class="keyword">template</span> &lt;armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType&lt;ArmnnType&gt;&gt;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;<a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;T, 4&gt;</a> Debug4dTest(</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160;{</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo;</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160;</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = {1, 2, 2, 3};</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = {1, 2, 2, 3};</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160;</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <a class="code" href="structarmnn_1_1_debug_queue_descriptor.html">armnn::DebugQueueDescriptor</a> desc;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; desc.<a class="code" href="structarmnn_1_1_debug_queue_descriptor.html#a04f1026633579df1913f80db2877ce8c">m_Guid</a> = 1;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; desc.<a class="code" href="structarmnn_1_1_debug_queue_descriptor.html#a2b4595e9b6c840810995558801be6f6c">m_LayerName</a> = <span class="stringliteral">&quot;TestOutput&quot;</span>;</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; desc.<a class="code" href="structarmnn_1_1_debug_queue_descriptor.html#ab53d42063d018ffebfceb019b26bf65a">m_SlotIndex</a> = 0;</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(4, inputShape, ArmnnType);</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(4, outputShape, ArmnnType);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160;</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; std::vector&lt;float&gt; input = std::vector&lt;float&gt;(</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; {</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; 1.0f, 2.0f, 3.0f,</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; 4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; 7.0f, 8.0f, 9.0f,</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; 10.0f, 11.0f, 12.0f,</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; });</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160;</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; std::vector&lt;float&gt; outputExpected = std::vector&lt;float&gt;(</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; {</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; 1.0f, 2.0f, 3.0f,</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; 4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; 7.0f, 8.0f, 9.0f,</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; 10.0f, 11.0f, 12.0f,</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; });</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160;</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; <span class="keyword">const</span> std::string expectedStringOutput =</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; <span class="stringliteral">&quot;{ \&quot;layerGuid\&quot;: 1,&quot;</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <span class="stringliteral">&quot; \&quot;layerName\&quot;: \&quot;TestOutput\&quot;,&quot;</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <span class="stringliteral">&quot; \&quot;outputSlot\&quot;: 0,&quot;</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <span class="stringliteral">&quot; \&quot;shape\&quot;: [1, 2, 2, 3],&quot;</span></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <span class="stringliteral">&quot; \&quot;min\&quot;: 1, \&quot;max\&quot;: 12,&quot;</span></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="stringliteral">&quot; \&quot;data\&quot;: [[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]]] }\n&quot;</span>;</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; <span class="keywordflow">return</span> DebugTestImpl&lt;T, 4&gt;(workloadFactory,</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; memoryManager,</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; inputTensorInfo,</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; outputTensorInfo,</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; input,</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; outputExpected,</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; desc,</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; expectedStringOutput);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160;}</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160;</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160;<span class="keyword">template</span> &lt;armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType&lt;ArmnnType&gt;&gt;</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160;<a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;T, 3&gt;</a> Debug3dTest(</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160;{</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160;</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = {3, 3, 1};</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = {3, 3, 1};</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160;</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <a class="code" href="structarmnn_1_1_debug_queue_descriptor.html">armnn::DebugQueueDescriptor</a> desc;</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; desc.<a class="code" href="structarmnn_1_1_debug_queue_descriptor.html#a04f1026633579df1913f80db2877ce8c">m_Guid</a> = 1;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; desc.<a class="code" href="structarmnn_1_1_debug_queue_descriptor.html#a2b4595e9b6c840810995558801be6f6c">m_LayerName</a> = <span class="stringliteral">&quot;TestOutput&quot;</span>;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; desc.<a class="code" href="structarmnn_1_1_debug_queue_descriptor.html#ab53d42063d018ffebfceb019b26bf65a">m_SlotIndex</a> = 0;</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(3, inputShape, ArmnnType);</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(3, outputShape, ArmnnType);</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160;</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; std::vector&lt;float&gt; input = std::vector&lt;float&gt;(</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; {</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; 1.0f, 2.0f, 3.0f,</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; 4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; 7.0f, 8.0f, 9.0f,</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; });</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; std::vector&lt;float&gt; outputExpected = std::vector&lt;float&gt;(</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; {</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; 1.0f, 2.0f, 3.0f,</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; 4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; 7.0f, 8.0f, 9.0f,</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; });</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160;</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; <span class="keyword">const</span> std::string expectedStringOutput =</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; <span class="stringliteral">&quot;{ \&quot;layerGuid\&quot;: 1,&quot;</span></div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; <span class="stringliteral">&quot; \&quot;layerName\&quot;: \&quot;TestOutput\&quot;,&quot;</span></div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; <span class="stringliteral">&quot; \&quot;outputSlot\&quot;: 0,&quot;</span></div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; <span class="stringliteral">&quot; \&quot;shape\&quot;: [3, 3, 1],&quot;</span></div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; <span class="stringliteral">&quot; \&quot;min\&quot;: 1, \&quot;max\&quot;: 9,&quot;</span></div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; <span class="stringliteral">&quot; \&quot;data\&quot;: [[[1], [2], [3]], [[4], [5], [6]], [[7], [8], [9]]] }\n&quot;</span>;</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160;</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; <span class="keywordflow">return</span> DebugTestImpl&lt;T, 3&gt;(workloadFactory,</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; memoryManager,</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; inputTensorInfo,</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; outputTensorInfo,</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; input,</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; outputExpected,</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; desc,</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; expectedStringOutput);</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160;}</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160;</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160;<span class="keyword">template</span> &lt;armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType&lt;ArmnnType&gt;&gt;</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160;<a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;T, 2&gt;</a> Debug2dTest(</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160;{</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo;</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo;</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160;</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; 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desc.<a class="code" href="structarmnn_1_1_debug_queue_descriptor.html#ab53d42063d018ffebfceb019b26bf65a">m_SlotIndex</a> = 0;</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160;</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(2, inputShape, ArmnnType);</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(2, outputShape, ArmnnType);</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160;</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; std::vector&lt;float&gt; input = std::vector&lt;float&gt;(</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; {</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; 1.0f, 2.0f,</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; 3.0f, 4.0f,</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; });</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160;</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; std::vector&lt;float&gt; outputExpected = std::vector&lt;float&gt;(</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; {</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; 1.0f, 2.0f,</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; 3.0f, 4.0f,</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; });</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160;</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; <span class="keyword">const</span> std::string expectedStringOutput =</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; <span class="stringliteral">&quot;{ \&quot;layerGuid\&quot;: 1,&quot;</span></div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; <span class="stringliteral">&quot; \&quot;layerName\&quot;: \&quot;TestOutput\&quot;,&quot;</span></div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; <span class="stringliteral">&quot; \&quot;outputSlot\&quot;: 0,&quot;</span></div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; <span class="stringliteral">&quot; \&quot;shape\&quot;: [2, 2],&quot;</span></div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; <span class="stringliteral">&quot; \&quot;min\&quot;: 1, \&quot;max\&quot;: 4,&quot;</span></div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; <span class="stringliteral">&quot; \&quot;data\&quot;: [[1, 2], [3, 4]] }\n&quot;</span>;</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160;</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; <span class="keywordflow">return</span> DebugTestImpl&lt;T, 2&gt;(workloadFactory,</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; memoryManager,</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; inputTensorInfo,</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; outputTensorInfo,</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; input,</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; outputExpected,</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; desc,</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; expectedStringOutput);</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160;}</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160;</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160;<span class="keyword">template</span> &lt;armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType&lt;ArmnnType&gt;&gt;</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160;<a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;T, 1&gt;</a> Debug1dTest(</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160;{</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo;</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo;</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160;</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = {4};</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = {4};</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160;</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; <a class="code" href="structarmnn_1_1_debug_queue_descriptor.html">armnn::DebugQueueDescriptor</a> desc;</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; desc.<a class="code" href="structarmnn_1_1_debug_queue_descriptor.html#a04f1026633579df1913f80db2877ce8c">m_Guid</a> = 1;</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; desc.<a class="code" href="structarmnn_1_1_debug_queue_descriptor.html#a2b4595e9b6c840810995558801be6f6c">m_LayerName</a> = <span class="stringliteral">&quot;TestOutput&quot;</span>;</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; desc.<a class="code" href="structarmnn_1_1_debug_queue_descriptor.html#ab53d42063d018ffebfceb019b26bf65a">m_SlotIndex</a> = 0;</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160;</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(1, inputShape, ArmnnType);</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(1, outputShape, ArmnnType);</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160;</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; std::vector&lt;float&gt; input = std::vector&lt;float&gt;(</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160; {</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160; 1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160; });</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160;</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; std::vector&lt;float&gt; outputExpected = std::vector&lt;float&gt;(</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160; {</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160; 1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160; });</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160;</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; <span class="keyword">const</span> std::string expectedStringOutput =</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; <span class="stringliteral">&quot;{ \&quot;layerGuid\&quot;: 1,&quot;</span></div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; <span class="stringliteral">&quot; \&quot;layerName\&quot;: \&quot;TestOutput\&quot;,&quot;</span></div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160; <span class="stringliteral">&quot; \&quot;outputSlot\&quot;: 0,&quot;</span></div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; <span class="stringliteral">&quot; \&quot;shape\&quot;: [4],&quot;</span></div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; <span class="stringliteral">&quot; \&quot;min\&quot;: 1, \&quot;max\&quot;: 4,&quot;</span></div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; <span class="stringliteral">&quot; \&quot;data\&quot;: [1, 2, 3, 4] }\n&quot;</span>;</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160;</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; <span class="keywordflow">return</span> DebugTestImpl&lt;T, 1&gt;(workloadFactory,</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; memoryManager,</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; inputTensorInfo,</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; outputTensorInfo,</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; input,</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; outputExpected,</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; desc,</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; expectedStringOutput);</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160;}</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160;</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160;} <span class="comment">// anonymous namespace</span></div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160;</div><div class="line"><a name="l00284"></a><span class="lineno"><a class="line" href="_debug_test_impl_8hpp.html#a3a17c31e0243a055d062f9ef00e00295"> 284</a></span>&#160;<a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;float, 4&gt;</a> <a class="code" href="_debug_test_impl_8cpp.html#a3a17c31e0243a055d062f9ef00e00295">Debug4dFloat32Test</a>(</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160;{</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; <span class="keywordflow">return</span> Debug4dTest&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160;}</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160;</div><div class="line"><a name="l00291"></a><span class="lineno"><a class="line" href="_debug_test_impl_8hpp.html#ab27db9bc57b9d9285ef91e09a6ae1a2e"> 291</a></span>&#160;<a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;float, 3&gt;</a> <a class="code" href="_debug_test_impl_8cpp.html#ab27db9bc57b9d9285ef91e09a6ae1a2e">Debug3dFloat32Test</a>(</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160;{</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160; <span class="keywordflow">return</span> Debug3dTest&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160;}</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160;</div><div class="line"><a name="l00298"></a><span class="lineno"><a class="line" href="_debug_test_impl_8hpp.html#a340b57036ad22a70438e5e6b615eebfb"> 298</a></span>&#160;<a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;float, 2&gt;</a> <a class="code" href="_debug_test_impl_8cpp.html#a340b57036ad22a70438e5e6b615eebfb">Debug2dFloat32Test</a>(</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160;{</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; <span class="keywordflow">return</span> Debug2dTest&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160;}</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160;</div><div class="line"><a name="l00305"></a><span class="lineno"><a class="line" href="_debug_test_impl_8hpp.html#a02e739d71284a1bb5cf25aa4e76ea034"> 305</a></span>&#160;<a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;float, 1&gt;</a> <a class="code" href="_debug_test_impl_8cpp.html#a02e739d71284a1bb5cf25aa4e76ea034">Debug1dFloat32Test</a>(</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160;{</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160; <span class="keywordflow">return</span> Debug1dTest&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160;}</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160;</div><div class="line"><a name="l00312"></a><span class="lineno"><a class="line" href="_debug_test_impl_8hpp.html#aff1f64410b029a9b9925bb4c69219896"> 312</a></span>&#160;<a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;uint8_t, 4&gt;</a> <a class="code" href="_debug_test_impl_8cpp.html#aff1f64410b029a9b9925bb4c69219896">Debug4dUint8Test</a>(</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160;{</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160; <span class="keywordflow">return</span> Debug4dTest&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160;}</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160;</div><div class="line"><a name="l00319"></a><span class="lineno"><a class="line" href="_debug_test_impl_8hpp.html#a353659f233efc7b8eb5a52b48c555c25"> 319</a></span>&#160;<a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;uint8_t, 3&gt;</a> <a class="code" href="_debug_test_impl_8cpp.html#a353659f233efc7b8eb5a52b48c555c25">Debug3dUint8Test</a>(</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160;{</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160; <span class="keywordflow">return</span> Debug3dTest&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>&#160;}</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>&#160;</div><div class="line"><a name="l00326"></a><span class="lineno"><a class="line" href="_debug_test_impl_8hpp.html#ad248b29d04a555ddfa407f2121f66333"> 326</a></span>&#160;<a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;uint8_t, 2&gt;</a> <a class="code" href="_debug_test_impl_8cpp.html#ad248b29d04a555ddfa407f2121f66333">Debug2dUint8Test</a>(</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>&#160;{</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>&#160; <span class="keywordflow">return</span> Debug2dTest&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>&#160;}</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>&#160;</div><div class="line"><a name="l00333"></a><span class="lineno"><a class="line" href="_debug_test_impl_8hpp.html#a38d2a08139107d420b511ffebeef4262"> 333</a></span>&#160;<a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;uint8_t, 1&gt;</a> <a class="code" href="_debug_test_impl_8cpp.html#a38d2a08139107d420b511ffebeef4262">Debug1dUint8Test</a>(</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>&#160;{</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>&#160; <span class="keywordflow">return</span> Debug1dTest&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>&#160;}</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>&#160;</div><div class="line"><a name="l00340"></a><span class="lineno"><a class="line" href="_debug_test_impl_8hpp.html#a6cce1d9e431fd143e71e8ba16267c774"> 340</a></span>&#160;<a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;int16_t, 4&gt;</a> <a class="code" href="_debug_test_impl_8cpp.html#a6cce1d9e431fd143e71e8ba16267c774">Debug4dInt16Test</a>(</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>&#160;{</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>&#160; <span class="keywordflow">return</span> Debug4dTest&lt;armnn::DataType::QSymmS16&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>&#160;}</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>&#160;</div><div class="line"><a name="l00347"></a><span class="lineno"><a class="line" href="_debug_test_impl_8hpp.html#abdb0d918051840178c879d39e488909e"> 347</a></span>&#160;<a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;int16_t, 3&gt;</a> <a class="code" href="_debug_test_impl_8cpp.html#abdb0d918051840178c879d39e488909e">Debug3dInt16Test</a>(</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>&#160;{</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160; <span class="keywordflow">return</span> Debug3dTest&lt;armnn::DataType::QSymmS16&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>&#160;}</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160;</div><div class="line"><a name="l00354"></a><span class="lineno"><a class="line" href="_debug_test_impl_8hpp.html#a70e2a4a133ff823cde320f7aac9eff79"> 354</a></span>&#160;<a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;int16_t, 2&gt;</a> <a class="code" href="_debug_test_impl_8cpp.html#a70e2a4a133ff823cde320f7aac9eff79">Debug2dInt16Test</a>(</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>&#160;{</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>&#160; <span class="keywordflow">return</span> Debug2dTest&lt;armnn::DataType::QSymmS16&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>&#160;}</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>&#160;</div><div class="line"><a name="l00361"></a><span class="lineno"><a class="line" href="_debug_test_impl_8hpp.html#acf99889f3486cc377e44dc8c3c430bce"> 361</a></span>&#160;<a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;int16_t, 1&gt;</a> <a class="code" href="_debug_test_impl_8cpp.html#acf99889f3486cc377e44dc8c3c430bce">Debug1dInt16Test</a>(</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>&#160;{</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>&#160; <span class="keywordflow">return</span> Debug1dTest&lt;armnn::DataType::QSymmS16&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>&#160;}</div><div class="ttc" id="_debug_test_impl_8cpp_html_a6cce1d9e431fd143e71e8ba16267c774"><div class="ttname"><a href="_debug_test_impl_8cpp.html#a6cce1d9e431fd143e71e8ba16267c774">Debug4dInt16Test</a></div><div class="ttdeci">LayerTestResult&lt; int16_t, 4 &gt; Debug4dInt16Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_debug_test_impl_8cpp_source.html#l00340">DebugTestImpl.cpp:340</a></div></div>
<div class="ttc" id="structarmnn_1_1_debug_queue_descriptor_html_ab53d42063d018ffebfceb019b26bf65a"><div class="ttname"><a href="structarmnn_1_1_debug_queue_descriptor.html#ab53d42063d018ffebfceb019b26bf65a">armnn::DebugQueueDescriptor::m_SlotIndex</a></div><div class="ttdeci">unsigned int m_SlotIndex</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00449">WorkloadData.hpp:449</a></div></div>
<div class="ttc" id="_debug_test_impl_8cpp_html_acf99889f3486cc377e44dc8c3c430bce"><div class="ttname"><a href="_debug_test_impl_8cpp.html#acf99889f3486cc377e44dc8c3c430bce">Debug1dInt16Test</a></div><div class="ttdeci">LayerTestResult&lt; int16_t, 1 &gt; Debug1dInt16Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_debug_test_impl_8cpp_source.html#l00361">DebugTestImpl.cpp:361</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_workload_factory_html"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.html#l00021">WorkloadFactory.hpp:21</a></div></div>
<div class="ttc" id="_tensor_copy_utils_8cpp_html_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.html#l00009">TensorCopyUtils.cpp:9</a></div></div>
<div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
<div class="ttc" id="_debug_test_impl_8cpp_html_ab27db9bc57b9d9285ef91e09a6ae1a2e"><div class="ttname"><a href="_debug_test_impl_8cpp.html#ab27db9bc57b9d9285ef91e09a6ae1a2e">Debug3dFloat32Test</a></div><div class="ttdeci">LayerTestResult&lt; float, 3 &gt; Debug3dFloat32Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_debug_test_impl_8cpp_source.html#l00291">DebugTestImpl.cpp:291</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
<div class="ttc" id="_debug_test_impl_8hpp_html"><div class="ttname"><a href="_debug_test_impl_8hpp.html">DebugTestImpl.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr&lt; ITensorHandle &gt; CreateTensorHandle(const TensorInfo &amp;tensorInfo, const bool IsMemoryManaged=true) const =0</div></div>
<div class="ttc" id="struct_layer_test_result_html"><div class="ttname"><a href="struct_layer_test_result.html">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.html#l00029">LayerTestResult.hpp:29</a></div></div>
<div class="ttc" id="_tensor_copy_utils_8cpp_html_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.html#l00014">TensorCopyUtils.cpp:14</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_backend_internal_html_a693b40e6b94e958836aeb0410ca186bd"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a></div><div class="ttdeci">std::shared_ptr&lt; IMemoryManager &gt; IMemoryManagerSharedPtr</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.html#l00090">IBackendInternal.hpp:90</a></div></div>
<div class="ttc" id="structarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div>
<div class="ttc" id="_resolve_type_8hpp_html"><div class="ttname"><a href="_resolve_type_8hpp.html">ResolveType.hpp</a></div></div>
<div class="ttc" id="_debug_test_impl_8cpp_html_ad248b29d04a555ddfa407f2121f66333"><div class="ttname"><a href="_debug_test_impl_8cpp.html#ad248b29d04a555ddfa407f2121f66333">Debug2dUint8Test</a></div><div class="ttdeci">LayerTestResult&lt; uint8_t, 2 &gt; Debug2dUint8Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_debug_test_impl_8cpp_source.html#l00326">DebugTestImpl.cpp:326</a></div></div>
<div class="ttc" id="_debug_test_impl_8cpp_html_a340b57036ad22a70438e5e6b615eebfb"><div class="ttname"><a href="_debug_test_impl_8cpp.html#a340b57036ad22a70438e5e6b615eebfb">Debug2dFloat32Test</a></div><div class="ttdeci">LayerTestResult&lt; float, 2 &gt; Debug2dFloat32Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_debug_test_impl_8cpp_source.html#l00298">DebugTestImpl.cpp:298</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_html_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6">armnn::TensorInfo::SetQuantizationScale</a></div><div class="ttdeci">void SetQuantizationScale(float scale)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00259">Tensor.cpp:259</a></div></div>
<div class="ttc" id="_quantize_helper_8hpp_html"><div class="ttname"><a href="_quantize_helper_8hpp.html">QuantizeHelper.hpp</a></div></div>
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<div class="ttc" id="_debug_test_impl_8cpp_html_a02e739d71284a1bb5cf25aa4e76ea034"><div class="ttname"><a href="_debug_test_impl_8cpp.html#a02e739d71284a1bb5cf25aa4e76ea034">Debug1dFloat32Test</a></div><div class="ttdeci">LayerTestResult&lt; float, 1 &gt; Debug1dFloat32Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_debug_test_impl_8cpp_source.html#l00305">DebugTestImpl.cpp:305</a></div></div>
<div class="ttc" id="_debug_test_impl_8cpp_html_a70e2a4a133ff823cde320f7aac9eff79"><div class="ttname"><a href="_debug_test_impl_8cpp.html#a70e2a4a133ff823cde320f7aac9eff79">Debug2dInt16Test</a></div><div class="ttdeci">LayerTestResult&lt; int16_t, 2 &gt; Debug2dInt16Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_debug_test_impl_8cpp_source.html#l00354">DebugTestImpl.cpp:354</a></div></div>
<div class="ttc" id="_debug_test_impl_8cpp_html_a353659f233efc7b8eb5a52b48c555c25"><div class="ttname"><a href="_debug_test_impl_8cpp.html#a353659f233efc7b8eb5a52b48c555c25">Debug3dUint8Test</a></div><div class="ttdeci">LayerTestResult&lt; uint8_t, 3 &gt; Debug3dUint8Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_debug_test_impl_8cpp_source.html#l00319">DebugTestImpl.cpp:319</a></div></div>
<div class="ttc" id="_debug_test_impl_8cpp_html_a38d2a08139107d420b511ffebeef4262"><div class="ttname"><a href="_debug_test_impl_8cpp.html#a38d2a08139107d420b511ffebeef4262">Debug1dUint8Test</a></div><div class="ttdeci">LayerTestResult&lt; uint8_t, 1 &gt; Debug1dUint8Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_debug_test_impl_8cpp_source.html#l00333">DebugTestImpl.cpp:333</a></div></div>
<div class="ttc" id="structarmnn_1_1_debug_queue_descriptor_html_a2b4595e9b6c840810995558801be6f6c"><div class="ttname"><a href="structarmnn_1_1_debug_queue_descriptor.html#a2b4595e9b6c840810995558801be6f6c">armnn::DebugQueueDescriptor::m_LayerName</a></div><div class="ttdeci">std::string m_LayerName</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00448">WorkloadData.hpp:448</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_html_a63cbc581012c957f9d68d224ddc3e43c"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a63cbc581012c957f9d68d224ddc3e43c">armnn::TensorInfo::SetQuantizationOffset</a></div><div class="ttdeci">void SetQuantizationOffset(int32_t offset)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00275">Tensor.cpp:275</a></div></div>
<div class="ttc" id="_debug_test_impl_8cpp_html_aff1f64410b029a9b9925bb4c69219896"><div class="ttname"><a href="_debug_test_impl_8cpp.html#aff1f64410b029a9b9925bb4c69219896">Debug4dUint8Test</a></div><div class="ttdeci">LayerTestResult&lt; uint8_t, 4 &gt; Debug4dUint8Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_debug_test_impl_8cpp_source.html#l00312">DebugTestImpl.cpp:312</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a00346a3754d9411bba2e29dc1f996ac6"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a00346a3754d9411bba2e29dc1f996ac6">armnn::IWorkloadFactory::CreateDebug</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreateDebug(const DebugQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.html#l01148">WorkloadFactory.cpp:1148</a></div></div>
<div class="ttc" id="_tensor_copy_utils_8hpp_html"><div class="ttname"><a href="_tensor_copy_utils_8hpp.html">TensorCopyUtils.hpp</a></div></div>
<div class="ttc" id="structarmnn_1_1_debug_queue_descriptor_html_a04f1026633579df1913f80db2877ce8c"><div class="ttname"><a href="structarmnn_1_1_debug_queue_descriptor.html#a04f1026633579df1913f80db2877ce8c">armnn::DebugQueueDescriptor::m_Guid</a></div><div class="ttdeci">LayerGuid m_Guid</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00447">WorkloadData.hpp:447</a></div></div>
<div class="ttc" id="_tensor_helpers_8hpp_html"><div class="ttname"><a href="_tensor_helpers_8hpp.html">TensorHelpers.hpp</a></div></div>
<div class="ttc" id="_debug_test_impl_8cpp_html_a3a17c31e0243a055d062f9ef00e00295"><div class="ttname"><a href="_debug_test_impl_8cpp.html#a3a17c31e0243a055d062f9ef00e00295">Debug4dFloat32Test</a></div><div class="ttdeci">LayerTestResult&lt; float, 4 &gt; Debug4dFloat32Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_debug_test_impl_8cpp_source.html#l00284">DebugTestImpl.cpp:284</a></div></div>
<div class="ttc" id="_debug_test_impl_8cpp_html_abdb0d918051840178c879d39e488909e"><div class="ttname"><a href="_debug_test_impl_8cpp.html#abdb0d918051840178c879d39e488909e">Debug3dInt16Test</a></div><div class="ttdeci">LayerTestResult&lt; int16_t, 3 &gt; Debug3dInt16Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_debug_test_impl_8cpp_source.html#l00347">DebugTestImpl.cpp:347</a></div></div>
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