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<a href="armnn_tf_parser_2test_2_mean_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_i_tf_parser_8hpp.xhtml">armnnTfParser/ITfParser.hpp</a>"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_parser_prototxt_fixture_8hpp.xhtml">ParserPrototxtFixture.hpp</a>></span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_prototxt_conversions_8hpp.xhtml">PrototxtConversions.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> </div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <boost/test/unit_test.hpp></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> </div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <a class="code" href="_output_shape_of_squeeze_8cpp.xhtml#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a>(TensorflowParser)</div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="keyword">struct </span>MeanFixture : <span class="keyword">public</span> <a class="code" href="structarmnn_utils_1_1_parser_prototxt_fixture.xhtml">armnnUtils::ParserPrototxtFixture</a><armnnTfParser::ITfParser></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> {</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  <span class="keyword">explicit</span> MeanFixture(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>& inputShape, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>& outputShape,</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  <span class="keyword">const</span> std::vector<unsigned int>& axis, <span class="keywordtype">bool</span> keepDims)</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  {</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  std::string protobufAxisString;</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  std::vector<unsigned int> protobufAxis(axis);</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> </div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="comment">// If no axis range is specified, the reduction is applied to</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="comment">// all dimensions of the input tensor</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keywordflow">if</span> (protobufAxis.size() == 0)</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  {</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < inputShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); ++i)</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  {</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  protobufAxis.push_back(i);</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  }</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  }</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < protobufAxis.size(); ++i)</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  {</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  protobufAxisString.append(<a class="code" href="namespacearmnn_utils.xhtml#ab4a89c3d0ff243bdabae3e404248d04a">armnnUtils::ConvertInt32ToOctalString</a>(static_cast<int>(protobufAxis[i])));</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  }</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> </div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <a class="code" href="structarmnn_utils_1_1_parser_prototxt_fixture.xhtml#a5ca0f757171382fbf7fa5b05b447b024">m_Prototext</a> = R<span class="stringliteral">"(node {</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="stringliteral"> name: "input"</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="stringliteral"> op: "Placeholder"</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="stringliteral"> attr {</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="stringliteral"> key: "dtype"</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="stringliteral"> value {</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="stringliteral"> type: DT_FLOAT</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="stringliteral"> attr {</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="stringliteral"> key: "shape"</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="stringliteral"> value {</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="stringliteral"> shape {</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="stringliteral"> node {</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="stringliteral"> name: "Const"</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="stringliteral"> op: "Const"</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="stringliteral"> attr {</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="stringliteral"> key: "dtype"</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="stringliteral"> value {</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="stringliteral"> type: DT_INT32</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="stringliteral"> attr {</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="stringliteral"> key: "value"</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="stringliteral"> value { )";</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="stringliteral"></span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="stringliteral"> </span><span class="keywordflow">if</span> (axis.size() == 1)</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  {</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <a class="code" href="structarmnn_utils_1_1_parser_prototxt_fixture.xhtml#a5ca0f757171382fbf7fa5b05b447b024">m_Prototext</a>.append(R<span class="stringliteral">"( tensor {</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="stringliteral"> dtype: DT_INT32</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="stringliteral"> tensor_shape {</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="stringliteral"> int_val: )").append(std::to_string(protobufAxis[0])).append(R</span><span class="stringliteral">"(</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="stringliteral"> } )");</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="stringliteral"> </span><span class="keywordflow">else</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  {</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <a class="code" href="structarmnn_utils_1_1_parser_prototxt_fixture.xhtml#a5ca0f757171382fbf7fa5b05b447b024">m_Prototext</a>.append(R<span class="stringliteral">"( tensor {</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="stringliteral"> dtype: DT_INT32</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="stringliteral"> tensor_shape {</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="stringliteral"> dim {</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="stringliteral"> size: 2</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="stringliteral"> tensor_content: ")").append(protobufAxisString).append(R</span><span class="stringliteral">"("</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="stringliteral"> } )");</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="stringliteral"></span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="stringliteral"> <a class="code" href="structarmnn_utils_1_1_parser_prototxt_fixture.xhtml#a5ca0f757171382fbf7fa5b05b447b024">m_Prototext</a>.append(R</span><span class="stringliteral">"( }</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="stringliteral"> node {</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="stringliteral"> name: "output"</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="stringliteral"> op: "Mean"</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="stringliteral"> input: "input"</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="stringliteral"> input: "Const"</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="stringliteral"> attr {</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="stringliteral"> key: "T"</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="stringliteral"> value {</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="stringliteral"> type: DT_FLOAT</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="stringliteral"> attr {</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="stringliteral"> key: "Tidx"</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="stringliteral"> value {</span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="stringliteral"> type: DT_INT32</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="stringliteral"> attr {</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="stringliteral"> key: "keep_dims"</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> <span class="stringliteral"> value {</span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="stringliteral"> b: )").append(keepDims ? </span><span class="stringliteral">"true"</span> : <span class="stringliteral">"false"</span>).append(R<span class="stringliteral">"(</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> <span class="stringliteral"> })");</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="stringliteral"></span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="stringliteral"> <a class="code" href="structarmnn_utils_1_1_parser_prototxt_fixture.xhtml#a2bb4ea256fbbf6d53068ca93bb4bc95c">SetupSingleInputSingleOutput</a>(inputShape, outputShape, </span><span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  }</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> };</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> </div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> <span class="keyword">struct </span>MeanNoAxisNoKeepDimsFixture: MeanFixture</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> {</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  MeanNoAxisNoKeepDimsFixture() : MeanFixture({ 2, 3 }, { 1 }, {}, <span class="keyword">false</span>) {}</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> };</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> </div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> <span class="keyword">struct </span>MeanWithAxis0NoKeepDimsFixture: MeanFixture</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> {</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  MeanWithAxis0NoKeepDimsFixture() : MeanFixture({ 2, 3 }, { 3 }, { 0 }, <span class="keyword">false</span>) {}</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> };</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> </div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> <span class="keyword">struct </span>MeanWithAxis1NoKeepDimsFixture: MeanFixture</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> {</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  MeanWithAxis1NoKeepDimsFixture() : MeanFixture({ 2, 3 }, { 2 }, { 1 }, <span class="keyword">false</span>) {}</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> };</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> </div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> <span class="keyword">struct </span>MeanWithAxis0KeepDimsFixture: MeanFixture</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> {</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  MeanWithAxis0KeepDimsFixture() : MeanFixture({ 2, 3 }, { 1, 3 }, { 0 }, <span class="keyword">true</span>) {}</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> };</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> </div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> <span class="keyword">struct </span>MeanWithAxis1KeepDimsFixture: MeanFixture</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> {</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  MeanWithAxis1KeepDimsFixture() : MeanFixture({ 2, 3 }, { 2, 1 }, { 1 }, <span class="keyword">true</span>) {}</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> };</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> </div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> </div><div class="line"><a name="l00148"></a><span class="lineno"><a class="line" href="armnn_tf_parser_2test_2_mean_8cpp.xhtml#aa5bed75ddd47592191b2ff637ac1e2b8"> 148</a></span> <a class="code" href="armnn_tf_lite_parser_2test_2_mean_8cpp.xhtml#aa9af5ff688260af766c06414a04140e6">BOOST_FIXTURE_TEST_CASE</a>(MeanNoAxisNoKeepDims, MeanNoAxisNoKeepDimsFixture)</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> {</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  RunTest<1>({ { <span class="stringliteral">"input"</span>, { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f } } },</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  { { <span class="stringliteral">"output"</span>, { 1.5f } } });</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> }</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> </div><div class="line"><a name="l00154"></a><span class="lineno"><a class="line" href="armnn_tf_parser_2test_2_mean_8cpp.xhtml#ac46e1d1e4c8f3de33bb8d22c5b57c7c1"> 154</a></span> <a class="code" href="armnn_tf_lite_parser_2test_2_mean_8cpp.xhtml#aa9af5ff688260af766c06414a04140e6">BOOST_FIXTURE_TEST_CASE</a>(MeanWithAxis0NoKeepDims, MeanWithAxis0NoKeepDimsFixture)</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> {</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  RunTest<1>({ { <span class="stringliteral">"input"</span>, { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f } } },</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  { { <span class="stringliteral">"output"</span>, { 1.5f, 1.5f, 1.5f } } });</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> }</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> </div><div class="line"><a name="l00160"></a><span class="lineno"><a class="line" href="armnn_tf_parser_2test_2_mean_8cpp.xhtml#a31ad03f9a3679b63db0994833a477fe3"> 160</a></span> <a class="code" href="armnn_tf_lite_parser_2test_2_mean_8cpp.xhtml#aa9af5ff688260af766c06414a04140e6">BOOST_FIXTURE_TEST_CASE</a>(MeanWithAxis1NoKeepDims, MeanWithAxis1NoKeepDimsFixture)</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> {</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  RunTest<1>({ { <span class="stringliteral">"input"</span>, { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f } } },</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  { { <span class="stringliteral">"output"</span>, { 1.f, 2.f } } });</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> }</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> </div><div class="line"><a name="l00166"></a><span class="lineno"><a class="line" href="armnn_tf_parser_2test_2_mean_8cpp.xhtml#ae777849f6582f53b6b29eb3fd9c3bc22"> 166</a></span> <a class="code" href="armnn_tf_lite_parser_2test_2_mean_8cpp.xhtml#aa9af5ff688260af766c06414a04140e6">BOOST_FIXTURE_TEST_CASE</a>(MeanWithAxis0KeepDims, MeanWithAxis0KeepDimsFixture)</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> {</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  RunTest<2>({ { <span class="stringliteral">"input"</span>, { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f } } },</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  { { <span class="stringliteral">"output"</span>, { 1.5f, 1.5f, 1.5f } } });</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> }</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> </div><div class="line"><a name="l00172"></a><span class="lineno"><a class="line" href="armnn_tf_parser_2test_2_mean_8cpp.xhtml#ac13d193e18724ec1171e0e1a7909ac7f"> 172</a></span> <a class="code" href="armnn_tf_lite_parser_2test_2_mean_8cpp.xhtml#aa9af5ff688260af766c06414a04140e6">BOOST_FIXTURE_TEST_CASE</a>(MeanWithAxis1KeepDims, MeanWithAxis1KeepDimsFixture)</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> {</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  RunTest<2>({ { <span class="stringliteral">"input"</span>, { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f } } },</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  { { <span class="stringliteral">"output"</span>, { 1.f, 2.f } } });</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> }</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> </div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> <a class="code" href="_profiler_tests_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a>()</div><div class="ttc" id="_output_shape_of_squeeze_8cpp_xhtml_ae3a6cb217a792718f2bd0e8f45e3ca9e"><div class="ttname"><a href="_output_shape_of_squeeze_8cpp.xhtml#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a></div><div class="ttdeci">BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)</div></div>
<div class="ttc" id="structarmnn_utils_1_1_parser_prototxt_fixture_xhtml_a5ca0f757171382fbf7fa5b05b447b024"><div class="ttname"><a href="structarmnn_utils_1_1_parser_prototxt_fixture.xhtml#a5ca0f757171382fbf7fa5b05b447b024">armnnUtils::ParserPrototxtFixture< armnnTfParser::ITfParser >::m_Prototext</a></div><div class="ttdeci">std::string m_Prototext</div><div class="ttdef"><b>Definition:</b> <a href="_parser_prototxt_fixture_8hpp_source.xhtml#l00067">ParserPrototxtFixture.hpp:67</a></div></div>
<div class="ttc" id="_i_tf_parser_8hpp_xhtml"><div class="ttname"><a href="_i_tf_parser_8hpp.xhtml">ITfParser.hpp</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="_parser_prototxt_fixture_8hpp_xhtml"><div class="ttname"><a href="_parser_prototxt_fixture_8hpp.xhtml">ParserPrototxtFixture.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_utils_xhtml_ab4a89c3d0ff243bdabae3e404248d04a"><div class="ttname"><a href="namespacearmnn_utils.xhtml#ab4a89c3d0ff243bdabae3e404248d04a">armnnUtils::ConvertInt32ToOctalString</a></div><div class="ttdeci">std::string ConvertInt32ToOctalString(int value)</div><div class="ttdoc">Converts an int value into the Prototxt octal representation. </div><div class="ttdef"><b>Definition:</b> <a href="_prototxt_conversions_8cpp_source.xhtml#l00017">PrototxtConversions.cpp:17</a></div></div>
<div class="ttc" id="armnn_tf_lite_parser_2test_2_mean_8cpp_xhtml_aa9af5ff688260af766c06414a04140e6"><div class="ttname"><a href="armnn_tf_lite_parser_2test_2_mean_8cpp.xhtml#aa9af5ff688260af766c06414a04140e6">BOOST_FIXTURE_TEST_CASE</a></div><div class="ttdeci">BOOST_FIXTURE_TEST_CASE(ParseMeanNoReduce, SimpleMeanNoReduceFixture)</div><div class="ttdef"><b>Definition:</b> <a href="armnn_tf_lite_parser_2test_2_mean_8cpp_source.xhtml#l00092">Mean.cpp:92</a></div></div>
<div class="ttc" id="_profiler_tests_8cpp_xhtml_af7f71af5c6c124222dd1c42c5df892f4"><div class="ttname"><a href="_profiler_tests_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a></div><div class="ttdeci">BOOST_AUTO_TEST_SUITE_END()</div></div>
<div class="ttc" id="structarmnn_utils_1_1_parser_prototxt_fixture_xhtml_a2bb4ea256fbbf6d53068ca93bb4bc95c"><div class="ttname"><a href="structarmnn_utils_1_1_parser_prototxt_fixture.xhtml#a2bb4ea256fbbf6d53068ca93bb4bc95c">armnnUtils::ParserPrototxtFixture::SetupSingleInputSingleOutput</a></div><div class="ttdeci">void SetupSingleInputSingleOutput(const std::string &inputName, const std::string &outputName)</div><div class="ttdoc">Parses and loads the network defined by the m_Prototext string. </div><div class="ttdef"><b>Definition:</b> <a href="_parser_prototxt_fixture_8hpp_source.xhtml#l00085">ParserPrototxtFixture.hpp:85</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdoc">Function that returns the tensor rank. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00174">Tensor.cpp:174</a></div></div>
<div class="ttc" id="structarmnn_utils_1_1_parser_prototxt_fixture_xhtml"><div class="ttname"><a href="structarmnn_utils_1_1_parser_prototxt_fixture.xhtml">armnnUtils::ParserPrototxtFixture</a></div><div class="ttdef"><b>Definition:</b> <a href="_parser_prototxt_fixture_8hpp_source.xhtml#l00023">ParserPrototxtFixture.hpp:23</a></div></div>
<div class="ttc" id="_prototxt_conversions_8hpp_xhtml"><div class="ttname"><a href="_prototxt_conversions_8hpp.xhtml">PrototxtConversions.hpp</a></div></div>
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