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<div class="title">LogSoftmaxTestImpl.cpp</div> </div>
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<a href="_log_softmax_test_impl_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2019 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="_log_softmax_test_impl_8hpp.xhtml">LogSoftmaxTestImpl.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="_half_8hpp.xhtml">Half.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="_quantize_helper_8hpp.xhtml">QuantizeHelper.hpp</a>&gt;</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_resolve_type_8hpp.xhtml">ResolveType.hpp</a>&gt;</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;</div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_cpu_tensor_handle_8hpp.xhtml">backendsCommon/CpuTensorHandle.hpp</a>&gt;</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="include_2armnn_2backends_2_i_backend_internal_8hpp.xhtml">armnn/backends/IBackendInternal.hpp</a>&gt;</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_factory_8hpp.xhtml">backendsCommon/WorkloadFactory.hpp</a>&gt;</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_copy_utils_8hpp.xhtml">backendsCommon/test/TensorCopyUtils.hpp</a>&gt;</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_test_utils_8hpp.xhtml">backendsCommon/test/WorkloadTestUtils.hpp</a>&gt;</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_helpers_8hpp.xhtml">test/TensorHelpers.hpp</a>&gt;</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="keyword">namespace</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;{</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<span class="keyword">template</span>&lt;<a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> ArmnnType,</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; std::size_t NumDims,</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; <span class="keyword">typename</span> T = <a class="code" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType&lt;ArmnnType&gt;</a>&gt;</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, NumDims&gt;</a> LogSoftmaxTestImpl(</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager,</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>&amp; inputInfo,</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>&amp; outputInfo,</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; <span class="keyword">const</span> std::vector&lt;float&gt;&amp; inputValues,</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; <span class="keyword">const</span> std::vector&lt;float&gt;&amp; expectedOutputValues,</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; <a class="code" href="structarmnn_1_1_log_softmax_queue_descriptor.xhtml">armnn::LogSoftmaxQueueDescriptor</a> descriptor,</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <span class="keywordtype">float</span> qScale = 1.0f,</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; int32_t qOffset = 0)</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; <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, NumDims&gt;</a> result(outputInfo);</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; result.outputExpected =</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; MakeTensor&lt;T, NumDims&gt;(outputInfo, armnnUtils::QuantizedVector&lt;T&gt;(expectedOutputValues, qScale, qOffset));</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; inputHandle = workloadFactory.CreateTensorHandle(inputInfo);</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; outputHandle = workloadFactory.CreateTensorHandle(outputInfo);</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; <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="l00048"></a><span class="lineno"> 48</span>&#160;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; AddInputToWorkload(descriptor, info, inputInfo, inputHandle.get());</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; AddOutputToWorkload(descriptor, info, outputInfo, outputHandle.get());</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; std::unique_ptr&lt;armnn::IWorkload&gt; workload = workloadFactory.CreateLogSoftmax(descriptor, info);</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; inputHandle-&gt;Allocate();</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; outputHandle-&gt;Allocate();</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <span class="keyword">auto</span> inputTensor = MakeTensor&lt;T, NumDims&gt;(inputInfo, armnnUtils::QuantizedVector&lt;T&gt;(inputValues, qScale, qOffset));</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <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>&#160;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; workload-&gt;Execute();</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; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(result.output.origin(), outputHandle.get());</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;}</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;} <span class="comment">// anonymous namespace</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;<span class="keyword">template</span>&lt;armnn::DataType ArmnnType, <span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00070"></a><span class="lineno"><a class="line" href="_log_softmax_test_impl_8hpp.xhtml#a43d9a2ddae53c0ce8d39131e199ea281"> 70</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 4&gt;</a> <a class="code" href="_log_softmax_test_impl_8cpp.xhtml#a43d9a2ddae53c0ce8d39131e199ea281">LogSoftmaxTest1</a>(</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160;{</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputOutputShape{1, 1, 2, 4};</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputOutputShape, ArmnnType);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(inputOutputShape, ArmnnType);</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; std::vector&lt;float&gt; inputValues</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; 0.f, -6.f, 2.f, 4.f,</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; 3.f, -2.f, 10.f, 1.f</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; };</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; std::vector&lt;float&gt; expectedOutputValues</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; -4.14297f, -10.14297f, -2.14297f, -0.14297f,</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; -7.00104f, -12.00104f, -0.00105f, -9.00104f</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;</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <a class="code" href="structarmnn_1_1_log_softmax_queue_descriptor.xhtml">armnn::LogSoftmaxQueueDescriptor</a> descriptor;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a> = 1.0f; <span class="comment">// default beta</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a> = -1; <span class="comment">// default axis</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="keywordflow">return</span> LogSoftmaxTestImpl&lt;ArmnnType, 4&gt;(</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; workloadFactory,</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; memoryManager,</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; inputTensorInfo,</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; outputTensorInfo,</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; inputValues,</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; expectedOutputValues,</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; descriptor);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160;}</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160;</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160;<span class="keyword">template</span>&lt;armnn::DataType ArmnnType, <span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00106"></a><span class="lineno"><a class="line" href="_log_softmax_test_impl_8hpp.xhtml#aae56886d29ed5fa981f5df156bb651df"> 106</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 4&gt;</a> <a class="code" href="_log_softmax_test_impl_8cpp.xhtml#aae56886d29ed5fa981f5df156bb651df">LogSoftmaxTest2</a>(</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160;{</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputOutputShape{1, 1, 2, 4};</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputOutputShape, ArmnnType);</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(inputOutputShape, ArmnnType);</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160;</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; std::vector&lt;float&gt; inputValues</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; 0.f, -6.f, 2.f, 4.f,</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; 3.f, -2.f, 10.f, 1.f</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; };</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160;</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; std::vector&lt;float&gt; expectedOutputValues</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; {</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; -4.14297f, -10.14297f, -2.14297f, -0.14297f,</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; -7.00104f, -12.00104f, -0.00105f, -9.00104f</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; };</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <a class="code" href="structarmnn_1_1_log_softmax_queue_descriptor.xhtml">armnn::LogSoftmaxQueueDescriptor</a> descriptor;</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a> = 1.0f; <span class="comment">// default beta</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a> = 3; <span class="comment">// positive axis</span></div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160;</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; <span class="keywordflow">return</span> LogSoftmaxTestImpl&lt;ArmnnType, 4&gt;(</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; workloadFactory,</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; memoryManager,</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; inputTensorInfo,</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; outputTensorInfo,</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; inputValues,</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; expectedOutputValues,</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; descriptor);</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;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160;<span class="keyword">template</span>&lt;armnn::DataType ArmnnType, <span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00142"></a><span class="lineno"><a class="line" href="_log_softmax_test_impl_8hpp.xhtml#a5f3566cdee1e8d80fe647d3535f491c4"> 142</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 4&gt;</a> <a class="code" href="_log_softmax_test_impl_8cpp.xhtml#a5f3566cdee1e8d80fe647d3535f491c4">LogSoftmaxTest3</a>(</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160;{</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputOutputShape{1, 1, 2, 4};</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputOutputShape, ArmnnType);</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(inputOutputShape, ArmnnType);</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; std::vector&lt;float&gt; inputValues</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; {</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; 0.0f, -0.6f, 0.2f, 0.4f,</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; 0.3f, -0.2f, 1.0f, 0.1f</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;</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; std::vector&lt;float&gt; expectedOutputValues</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; {</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; -4.14297f, -10.14297f, -2.14297f, -0.14297f,</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; -7.00104f, -12.00104f, -0.00105f, -9.00104f</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; };</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; <a class="code" href="structarmnn_1_1_log_softmax_queue_descriptor.xhtml">armnn::LogSoftmaxQueueDescriptor</a> descriptor;</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a> = 10.0f; <span class="comment">// non-default beta</span></div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a> = 3; <span class="comment">// positive axis</span></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; <span class="keywordflow">return</span> LogSoftmaxTestImpl&lt;ArmnnType, 4&gt;(</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; workloadFactory,</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; memoryManager,</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; inputTensorInfo,</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; outputTensorInfo,</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; inputValues,</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; expectedOutputValues,</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; descriptor);</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;</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160;<span class="keyword">template</span>&lt;armnn::DataType ArmnnType, <span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00178"></a><span class="lineno"><a class="line" href="_log_softmax_test_impl_8hpp.xhtml#af332c6b74251f903ef775d9788c44f7d"> 178</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 4&gt;</a> <a class="code" href="_log_softmax_test_impl_8cpp.xhtml#af332c6b74251f903ef775d9788c44f7d">LogSoftmaxTest4</a>(</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160;{</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputOutputShape{1, 1, 2, 4};</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160;</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputOutputShape, ArmnnType);</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(inputOutputShape, ArmnnType);</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160;</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; std::vector&lt;float&gt; inputValues</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; {</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; 0.f, -6.f, 2.f, 4.f,</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; 3.f, -2.f, 10.f, 1.f</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; };</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160;</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; std::vector&lt;float&gt; expectedOutputValues</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; {</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; -3.048587f, -4.018149f, -8.000336f, -0.048587f,</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; -0.048587f, -0.018149f, -0.000335f, -3.048587f</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; };</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160;</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; <a class="code" href="structarmnn_1_1_log_softmax_queue_descriptor.xhtml">armnn::LogSoftmaxQueueDescriptor</a> descriptor;</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a> = 1.0f; <span class="comment">// default beta</span></div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a> = -2; <span class="comment">// negative axis</span></div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160;</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; <span class="keywordflow">return</span> LogSoftmaxTestImpl&lt;ArmnnType, 4&gt;(</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; workloadFactory,</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; memoryManager,</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; inputTensorInfo,</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; outputTensorInfo,</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; inputValues,</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; expectedOutputValues,</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; descriptor);</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160;}</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;<span class="keyword">template</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;armnn::ResolveType&lt;armnn::DataType::Float32&gt;</a>, 4&gt;</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160;LogSoftmaxTest1&lt;armnn::DataType::Float32&gt;(</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager);</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160;</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160;<span class="keyword">template</span> LayerTestResult&lt;armnn::ResolveType&lt;armnn::DataType::Float32&gt;, 4&gt;</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160;LogSoftmaxTest2&lt;armnn::DataType::Float32&gt;(</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager);</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160;</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160;<span class="keyword">template</span> LayerTestResult&lt;armnn::ResolveType&lt;armnn::DataType::Float32&gt;, 4&gt;</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160;LogSoftmaxTest3&lt;armnn::DataType::Float32&gt;(</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager);</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160;</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160;<span class="keyword">template</span> LayerTestResult&lt;armnn::ResolveType&lt;armnn::DataType::Float32&gt;, 4&gt;</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160;LogSoftmaxTest4&lt;armnn::DataType::Float32&gt;(</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager);</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160;</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160;<span class="keyword">template</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;armnn::ResolveType&lt;armnn::DataType::Float16&gt;</a>, 4&gt;</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160;LogSoftmaxTest1&lt;armnn::DataType::Float16&gt;(</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager);</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160;</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160;<span class="keyword">template</span> LayerTestResult&lt;armnn::ResolveType&lt;armnn::DataType::Float16&gt;, 4&gt;</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160;LogSoftmaxTest2&lt;armnn::DataType::Float16&gt;(</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager);</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160;</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160;<span class="keyword">template</span> LayerTestResult&lt;armnn::ResolveType&lt;armnn::DataType::Float16&gt;, 4&gt;</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160;LogSoftmaxTest3&lt;armnn::DataType::Float16&gt;(</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager);</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160;</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160;<span class="keyword">template</span> LayerTestResult&lt;armnn::ResolveType&lt;armnn::DataType::Float16&gt;, 4&gt;</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160;LogSoftmaxTest4&lt;armnn::DataType::Float16&gt;(</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager);</div><div class="ttc" id="_tensor_copy_utils_8hpp_xhtml"><div class="ttname"><a href="_tensor_copy_utils_8hpp.xhtml">TensorCopyUtils.hpp</a></div></div>
<div class="ttc" id="structarmnn_1_1_softmax_descriptor_xhtml_a214c3636fdf0ea5bac8edb42d0e6c7f0"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">armnn::SoftmaxDescriptor::m_Axis</a></div><div class="ttdeci">int m_Axis</div><div class="ttdoc">Scalar, defaulted to the last index (-1), specifying the dimension the activation will be performed o...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00138">Descriptors.hpp:138</a></div></div>
<div class="ttc" id="_workload_factory_8hpp_xhtml"><div class="ttname"><a href="_workload_factory_8hpp.xhtml">WorkloadFactory.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div>
<div class="ttc" id="_quantize_helper_8hpp_xhtml"><div class="ttname"><a href="_quantize_helper_8hpp.xhtml">QuantizeHelper.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.xhtml#l00021">WorkloadFactory.hpp:21</a></div></div>
<div class="ttc" id="_workload_test_utils_8hpp_xhtml"><div class="ttname"><a href="_workload_test_utils_8hpp.xhtml">WorkloadTestUtils.hpp</a></div></div>
<div class="ttc" id="structarmnn_1_1_softmax_descriptor_xhtml_a8275d51ef9a584feb95726ea0522f6e5"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">armnn::SoftmaxDescriptor::m_Beta</a></div><div class="ttdeci">float m_Beta</div><div class="ttdoc">Exponentiation value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00136">Descriptors.hpp:136</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a0743ed5e860c316a20b68ca96301b411"><div class="ttname"><a href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a></div><div class="ttdeci">typename ResolveTypeImpl&lt; DT &gt;::Type ResolveType</div><div class="ttdef"><b>Definition:</b> <a href="_resolve_type_8hpp_source.xhtml#l00073">ResolveType.hpp:73</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="_log_softmax_test_impl_8cpp_xhtml_af332c6b74251f903ef775d9788c44f7d"><div class="ttname"><a href="_log_softmax_test_impl_8cpp.xhtml#af332c6b74251f903ef775d9788c44f7d">LogSoftmaxTest4</a></div><div class="ttdeci">LayerTestResult&lt; T, 4 &gt; LogSoftmaxTest4(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_log_softmax_test_impl_8cpp_source.xhtml#l00178">LogSoftmaxTestImpl.cpp:178</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &amp;&amp;...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div>
<div class="ttc" id="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#l00049">WorkloadData.hpp:49</a></div></div>
<div class="ttc" id="_log_softmax_test_impl_8cpp_xhtml_aae56886d29ed5fa981f5df156bb651df"><div class="ttname"><a href="_log_softmax_test_impl_8cpp.xhtml#aae56886d29ed5fa981f5df156bb651df">LogSoftmaxTest2</a></div><div class="ttdeci">LayerTestResult&lt; T, 4 &gt; LogSoftmaxTest2(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_log_softmax_test_impl_8cpp_source.xhtml#l00106">LogSoftmaxTestImpl.cpp:106</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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00032">Types.hpp:32</a></div></div>
<div class="ttc" id="include_2armnn_2backends_2_i_backend_internal_8hpp_xhtml"><div class="ttname"><a href="include_2armnn_2backends_2_i_backend_internal_8hpp.xhtml">IBackendInternal.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_backend_internal_xhtml_a693b40e6b94e958836aeb0410ca186bd"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a></div><div class="ttdeci">std::shared_ptr&lt; IMemoryManager &gt; IMemoryManagerSharedPtr</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.xhtml#l00090">IBackendInternal.hpp:90</a></div></div>
<div class="ttc" id="_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="_cpu_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="_cpu_tensor_handle_8hpp.xhtml">CpuTensorHandle.hpp</a></div></div>
<div class="ttc" id="_half_8hpp_xhtml"><div class="ttname"><a href="_half_8hpp.xhtml">Half.hpp</a></div></div>
<div class="ttc" id="_log_softmax_test_impl_8hpp_xhtml"><div class="ttname"><a href="_log_softmax_test_impl_8hpp.xhtml">LogSoftmaxTestImpl.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div>
<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00029">LayerTestResult.hpp:29</a></div></div>
<div class="ttc" id="structarmnn_1_1_log_softmax_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_log_softmax_queue_descriptor.xhtml">armnn::LogSoftmaxQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00321">WorkloadData.hpp:321</a></div></div>
<div class="ttc" id="_log_softmax_test_impl_8cpp_xhtml_a5f3566cdee1e8d80fe647d3535f491c4"><div class="ttname"><a href="_log_softmax_test_impl_8cpp.xhtml#a5f3566cdee1e8d80fe647d3535f491c4">LogSoftmaxTest3</a></div><div class="ttdeci">LayerTestResult&lt; T, 4 &gt; LogSoftmaxTest3(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_log_softmax_test_impl_8cpp_source.xhtml#l00142">LogSoftmaxTestImpl.cpp:142</a></div></div>
<div class="ttc" id="_log_softmax_test_impl_8cpp_xhtml_a43d9a2ddae53c0ce8d39131e199ea281"><div class="ttname"><a href="_log_softmax_test_impl_8cpp.xhtml#a43d9a2ddae53c0ce8d39131e199ea281">LogSoftmaxTest1</a></div><div class="ttdeci">LayerTestResult&lt; T, 4 &gt; LogSoftmaxTest1(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_log_softmax_test_impl_8cpp_source.xhtml#l00070">LogSoftmaxTestImpl.cpp:70</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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