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100<div class="title">LogSoftmaxEndToEndTestImpl.cpp File Reference</div> </div>
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103<div class="textblock"><code>#include &quot;<a class="el" href="_end_to_end_test_impl_8hpp_source.xhtml">EndToEndTestImpl.hpp</a>&quot;</code><br />
104<code>#include &quot;<a class="el" href="_log_softmax_end_to_end_test_impl_8hpp_source.xhtml">LogSoftmaxEndToEndTestImpl.hpp</a>&quot;</code><br />
105<code>#include &lt;<a class="el" href="_i_network_8hpp_source.xhtml">armnn/INetwork.hpp</a>&gt;</code><br />
106<code>#include &lt;<a class="el" href="_test_utils_8hpp_source.xhtml">test/TestUtils.hpp</a>&gt;</code><br />
107<code>#include &lt;boost/test/unit_test.hpp&gt;</code><br />
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113<tr class="memitem:ae25266b3210c32d9e1a665b6d59a4c78"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_log_softmax_end_to_end_test_impl_8cpp.xhtml#ae25266b3210c32d9e1a665b6d59a4c78">LogSoftmaxEndToEndTest</a> (const std::vector&lt; <a class="el" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a> &gt; &amp;<a class="el" href="_ref_end_to_end_tests_8cpp.xhtml#ab59caffe2ee6be46c08766c055420f17">defaultBackends</a>)</td></tr>
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116<h2 class="groupheader">Function Documentation</h2>
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118<h2 class="memtitle"><span class="permalink"><a href="#ae25266b3210c32d9e1a665b6d59a4c78">&#9670;&nbsp;</a></span>LogSoftmaxEndToEndTest()</h2>
119
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124 <td class="memname">void LogSoftmaxEndToEndTest </td>
125 <td>(</td>
126 <td class="paramtype">const std::vector&lt; <a class="el" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a> &gt; &amp;&#160;</td>
127 <td class="paramname"><em>defaultBackends</em></td><td>)</td>
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132
133<p class="definition">Definition at line <a class="el" href="_log_softmax_end_to_end_test_impl_8cpp_source.xhtml#l00076">76</a> of file <a class="el" href="_log_softmax_end_to_end_test_impl_8cpp_source.xhtml">LogSoftmaxEndToEndTestImpl.cpp</a>.</p>
134
135<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>.</p>
136
137<p class="reference">Referenced by <a class="el" href="_ref_end_to_end_tests_8cpp_source.xhtml#l00810">BOOST_AUTO_TEST_CASE()</a>.</p>
138<div class="fragment"><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160;{</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; <span class="keyword">using namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a>;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> beta = 10.0f; <span class="comment">// non-default beta</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> axis = 3; <span class="comment">// positive axis</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> inputShape{1, 1, 2, 4};</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> inputTensorInfo(inputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> outputShape{1, 1, 2, 4};</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; std::vector&lt;float&gt; inputData = std::vector&lt;float&gt;({</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; 0.0f, -0.6f, 0.2f, 0.4f,</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; 0.3f, -0.2f, 1.0f, 0.1f</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; });</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; std::vector&lt;float&gt; expectedOutputData = std::vector&lt;float&gt;({</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; -4.14297f, -10.14297f, -2.14297f, -0.14297f,</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; -7.00104f, -12.00104f, -0.00104087f, -9.00104f</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; });</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; LogSoftmaxEndToEnd(<a class="code" href="_cl_end_to_end_tests_8cpp.xhtml#ab59caffe2ee6be46c08766c055420f17">defaultBackends</a>,</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; inputTensorInfo,</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; outputTensorInfo,</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; inputData,</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; expectedOutputData,</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; beta,</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; axis);</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160;}</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>
139<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2020 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00025">00_introduction.dox:25</a></div></div>
140<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>
141<div class="ttc" id="_cl_end_to_end_tests_8cpp_xhtml_ab59caffe2ee6be46c08766c055420f17"><div class="ttname"><a href="_cl_end_to_end_tests_8cpp.xhtml#ab59caffe2ee6be46c08766c055420f17">defaultBackends</a></div><div class="ttdeci">std::vector&lt; armnn::BackendId &gt; defaultBackends</div><div class="ttdef"><b>Definition:</b> <a href="_cl_end_to_end_tests_8cpp_source.xhtml#l00025">ClEndToEndTests.cpp:25</a></div></div>
142<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
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