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+<a href="_log_softmax_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 © 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.html">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.html">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.html">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.html">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.html">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.html">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.html">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.html">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.html">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.html">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.html#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.html#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.html">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.html">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.html#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.html">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.html">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.html">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;    boost::ignore_unused(memoryManager);</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;    <a class="code" href="struct_layer_test_result.html">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.html">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.html#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.html#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.html#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.html#a43d9a2ddae53c0ce8d39131e199ea281">   70</a></span>&#160;<a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;T, 4&gt;</a> <a class="code" href="_log_softmax_test_impl_8cpp.html#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.html">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.html#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.html">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.html">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.html">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.html">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.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_softmax_descriptor.html#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.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_softmax_descriptor.html#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.html#aae56886d29ed5fa981f5df156bb651df">  106</a></span>&#160;<a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;T, 4&gt;</a> <a class="code" href="_log_softmax_test_impl_8cpp.html#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.html">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.html#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.html">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.html">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.html">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.html">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.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_softmax_descriptor.html#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.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_softmax_descriptor.html#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.html#a5f3566cdee1e8d80fe647d3535f491c4">  142</a></span>&#160;<a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;T, 4&gt;</a> <a class="code" href="_log_softmax_test_impl_8cpp.html#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.html">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.html#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.html">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.html">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.html">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.html">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.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_softmax_descriptor.html#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.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_softmax_descriptor.html#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.html#af332c6b74251f903ef775d9788c44f7d">  178</a></span>&#160;<a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;T, 4&gt;</a> <a class="code" href="_log_softmax_test_impl_8cpp.html#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.html">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.html#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.html">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.html">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.html">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.html">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.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_softmax_descriptor.html#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.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_softmax_descriptor.html#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.html">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.html">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.html#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.html">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.html#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.html">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.html#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.html">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.html#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.html">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.html">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.html#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.html">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.html#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.html">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.html#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.html">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.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager);</div><div class="ttc" id="_log_softmax_test_impl_8cpp_html_af332c6b74251f903ef775d9788c44f7d"><div class="ttname"><a href="_log_softmax_test_impl_8cpp.html#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.html#l00178">LogSoftmaxTestImpl.cpp:178</a></div></div>
+<div class="ttc" id="_workload_factory_8hpp_html"><div class="ttname"><a href="_workload_factory_8hpp.html">WorkloadFactory.hpp</a></div></div>
+<div class="ttc" id="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="structarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#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.html#l00049">WorkloadData.hpp:49</a></div></div>
+<div class="ttc" id="structarmnn_1_1_log_softmax_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_log_softmax_queue_descriptor.html">armnn::LogSoftmaxQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00321">WorkloadData.hpp:321</a></div></div>
+<div class="ttc" id="_log_softmax_test_impl_8hpp_html"><div class="ttname"><a href="_log_softmax_test_impl_8hpp.html">LogSoftmaxTestImpl.hpp</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="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="namespacearmnn_html_a0743ed5e860c316a20b68ca96301b411"><div class="ttname"><a href="namespacearmnn.html#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.html#l00066">ResolveType.hpp:66</a></div></div>
+<div class="ttc" id="_log_softmax_test_impl_8cpp_html_aae56886d29ed5fa981f5df156bb651df"><div class="ttname"><a href="_log_softmax_test_impl_8cpp.html#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.html#l00106">LogSoftmaxTestImpl.cpp:106</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="structarmnn_1_1_softmax_descriptor_html_a8275d51ef9a584feb95726ea0522f6e5"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.html#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.html#l00136">Descriptors.hpp:136</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>
+<div class="ttc" id="_workload_test_utils_8hpp_html"><div class="ttname"><a href="_workload_test_utils_8hpp.html">WorkloadTestUtils.hpp</a></div></div>
+<div class="ttc" id="include_2armnn_2backends_2_i_backend_internal_8hpp_html"><div class="ttname"><a href="include_2armnn_2backends_2_i_backend_internal_8hpp.html">IBackendInternal.hpp</a></div></div>
+<div class="ttc" id="_cpu_tensor_handle_8hpp_html"><div class="ttname"><a href="_cpu_tensor_handle_8hpp.html">CpuTensorHandle.hpp</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00032">Types.hpp:32</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
+<div class="ttc" id="_log_softmax_test_impl_8cpp_html_a5f3566cdee1e8d80fe647d3535f491c4"><div class="ttname"><a href="_log_softmax_test_impl_8cpp.html#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.html#l00142">LogSoftmaxTestImpl.cpp:142</a></div></div>
+<div class="ttc" id="_log_softmax_test_impl_8cpp_html_a43d9a2ddae53c0ce8d39131e199ea281"><div class="ttname"><a href="_log_softmax_test_impl_8cpp.html#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.html#l00070">LogSoftmaxTestImpl.cpp:70</a></div></div>
+<div class="ttc" id="structarmnn_1_1_softmax_descriptor_html_a214c3636fdf0ea5bac8edb42d0e6c7f0"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.html#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.html#l00138">Descriptors.hpp:138</a></div></div>
+<div class="ttc" id="_tensor_copy_utils_8hpp_html"><div class="ttname"><a href="_tensor_copy_utils_8hpp.html">TensorCopyUtils.hpp</a></div></div>
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