| 101 | <a href="_add_n_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 <boost/assert.hpp></span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include <boost/test/unit_test.hpp></span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> </div><div class="line"><a name="l00009"></a><span class="lineno"> 9</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="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include "<a class="code" href="_parser_prototxt_fixture_8hpp.xhtml">ParserPrototxtFixture.hpp</a>"</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> </div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <map></span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <string></span></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> </div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <a class="code" href="_output_shape_of_squeeze_8cpp.xhtml#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a>(TensorflowParser)</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> </div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="keyword">struct </span>AddNFixture : <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="l00019"></a><span class="lineno"> 19</span> {</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  AddNFixture(<span class="keyword">const</span> std::vector<armnn::TensorShape> inputShapes, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numberOfInputs)</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  {</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  BOOST_ASSERT(inputShapes.size() == numberOfInputs);</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <a class="code" href="structarmnn_utils_1_1_parser_prototxt_fixture.xhtml#a5ca0f757171382fbf7fa5b05b447b024">m_Prototext</a> = <span class="stringliteral">""</span>;</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < numberOfInputs; i++)</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  {</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  m_Prototext.append(<span class="stringliteral">"node { \n"</span>);</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  m_Prototext.append(<span class="stringliteral">" name: \"input"</span>).append(std::to_string(i)).append(<span class="stringliteral">"\"\n"</span>);</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  m_Prototext += R<span class="stringliteral">"( op: "Placeholder"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="stringliteral"> attr {</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="stringliteral"> key: "dtype"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="stringliteral"> value {</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="stringliteral"> type: DT_FLOAT</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="stringliteral"> attr {</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="stringliteral"> key: "shape"</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="stringliteral"> value {</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="stringliteral"> shape {</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="stringliteral">}</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="stringliteral">)";</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="stringliteral"> m_Prototext += R</span><span class="stringliteral">"(node {</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="stringliteral"> name: "output"</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="stringliteral"> op: "AddN"</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="stringliteral">)";</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="stringliteral"> </span><span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < numberOfInputs; i++)</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  {</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  m_Prototext.append(<span class="stringliteral">" input: \"input"</span>).append(std::to_string(i)).append(<span class="stringliteral">"\"\n"</span>);</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  }</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  m_Prototext += R<span class="stringliteral">"( attr {</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="stringliteral"> key: "N"</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="stringliteral"> value {</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="stringliteral">)";</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="stringliteral"> m_Prototext.append(</span><span class="stringliteral">" i: "</span>).append(std::to_string(numberOfInputs)).append(<span class="stringliteral">"\n"</span>);</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  m_Prototext += R<span class="stringliteral">"( }</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="stringliteral"> attr {</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="stringliteral"> key: "T"</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="stringliteral"> value {</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="stringliteral"> type: DT_FLOAT</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="stringliteral">})";</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"> std::map<std::string, armnn::TensorShape> inputs;</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="stringliteral"> </span><span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < numberOfInputs; i++)</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  {</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  std::string name(<span class="stringliteral">"input"</span>);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  name.append(std::to_string(i));</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  inputs.emplace(std::make_pair(name, inputShapes[i]));</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  }</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <a class="code" href="structarmnn_utils_1_1_parser_prototxt_fixture.xhtml#a769404f2985a027a0d626fedfd4de1e9">Setup</a>(inputs, {<span class="stringliteral">"output"</span>});</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  }</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</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> </div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="comment">// try with 2, 3, 5 and 8 inputs</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="keyword">struct </span>FiveTwoDimInputsFixture : AddNFixture</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> {</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  FiveTwoDimInputsFixture() : AddNFixture({ { 2, 2 }, { 2, 2 }, { 2, 2 }, { 2, 2 }, { 2, 2 } }, 5) {}</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> };</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div><div class="line"><a name="l00087"></a><span class="lineno"><a class="line" href="_add_n_8cpp.xhtml#aa3e6fd11b4ccf9a029613c17d2329cf7"> 87</a></span> <a class="code" href="_add_n_8cpp.xhtml#aa3e6fd11b4ccf9a029613c17d2329cf7">BOOST_FIXTURE_TEST_CASE</a>(FiveTwoDimInputs, FiveTwoDimInputsFixture)</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> {</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  RunTest<2>({ { <span class="stringliteral">"input0"</span>, { 1.0, 2.0, 3.0, 4.0 } },</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  { <span class="stringliteral">"input1"</span>, { 1.0, 5.0, 2.0, 2.0 } },</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  { <span class="stringliteral">"input2"</span>, { 1.0, 1.0, 2.0, 2.0 } },</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  { <span class="stringliteral">"input3"</span>, { 3.0, 7.0, 1.0, 2.0 } },</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  { <span class="stringliteral">"input4"</span>, { 8.0, 0.0, -2.0, -3.0 } } },</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  { { <span class="stringliteral">"output"</span>, { 14.0, 15.0, 6.0, 7.0 } } });</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> }</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> </div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="keyword">struct </span>TwoTwoDimInputsFixture : AddNFixture</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> {</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  TwoTwoDimInputsFixture() : AddNFixture({ { 2, 2 }, { 2, 2 } }, 2) {}</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> };</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> </div><div class="line"><a name="l00102"></a><span class="lineno"><a class="line" href="_add_n_8cpp.xhtml#a4c8c635d16721a7c6449c7d2db39c63d"> 102</a></span> <a class="code" href="_add_n_8cpp.xhtml#aa3e6fd11b4ccf9a029613c17d2329cf7">BOOST_FIXTURE_TEST_CASE</a>(TwoTwoDimInputs, TwoTwoDimInputsFixture)</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> {</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  RunTest<2>({ { <span class="stringliteral">"input0"</span>, { 1.0, 2.0, 3.0, 4.0 } },</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  { <span class="stringliteral">"input1"</span>, { 1.0, 5.0, 2.0, 2.0 } } },</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  { { <span class="stringliteral">"output"</span>, { 2.0, 7.0, 5.0, 6.0 } } });</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> }</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> </div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="keyword">struct </span>ThreeTwoDimInputsFixture : AddNFixture</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> {</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  ThreeTwoDimInputsFixture() : AddNFixture({ { 2, 2 }, { 2, 2 }, { 2, 2 } }, 3) {}</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> };</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> </div><div class="line"><a name="l00114"></a><span class="lineno"><a class="line" href="_add_n_8cpp.xhtml#acd2de7c676ea777b8a4f5e55828f2088"> 114</a></span> <a class="code" href="_add_n_8cpp.xhtml#aa3e6fd11b4ccf9a029613c17d2329cf7">BOOST_FIXTURE_TEST_CASE</a>(ThreeTwoDimInputs, ThreeTwoDimInputsFixture)</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> {</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  RunTest<2>({ { <span class="stringliteral">"input0"</span>, { 1.0, 2.0, 3.0, 4.0 } },</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  { <span class="stringliteral">"input1"</span>, { 1.0, 5.0, 2.0, 2.0 } },</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  { <span class="stringliteral">"input2"</span>, { 1.0, 1.0, 2.0, 2.0 } } },</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  { { <span class="stringliteral">"output"</span>, { 3.0, 8.0, 7.0, 8.0 } } });</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>EightTwoDimInputsFixture : AddNFixture</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>  EightTwoDimInputsFixture() : AddNFixture({ { 2, 2 }, { 2, 2 }, { 2, 2 }, { 2, 2 },</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  { 2, 2 }, { 2, 2 }, { 2, 2 }, { 2, 2 } }, 8) {}</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> </div><div class="line"><a name="l00128"></a><span class="lineno"><a class="line" href="_add_n_8cpp.xhtml#a56735d5f36d48d22242181cae62ef975"> 128</a></span> <a class="code" href="_add_n_8cpp.xhtml#aa3e6fd11b4ccf9a029613c17d2329cf7">BOOST_FIXTURE_TEST_CASE</a>(EightTwoDimInputs, EightTwoDimInputsFixture)</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> {</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  RunTest<2>({ { <span class="stringliteral">"input0"</span>, { 1.0, 2.0, 3.0, 4.0 } },</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  { <span class="stringliteral">"input1"</span>, { 1.0, 5.0, 2.0, 2.0 } },</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  { <span class="stringliteral">"input2"</span>, { 1.0, 1.0, 2.0, 2.0 } },</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  { <span class="stringliteral">"input3"</span>, { 3.0, 7.0, 1.0, 2.0 } },</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  { <span class="stringliteral">"input4"</span>, { 8.0, 0.0, -2.0, -3.0 } },</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  { <span class="stringliteral">"input5"</span>, {-3.0, 2.0, -1.0, -5.0 } },</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  { <span class="stringliteral">"input6"</span>, { 1.0, 6.0, 2.0, 2.0 } },</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  { <span class="stringliteral">"input7"</span>, {-19.0, 7.0, 1.0, -10.0 } } },</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  { { <span class="stringliteral">"output"</span>, {-7.0, 30.0, 8.0, -6.0 } } });</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</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> <span class="keyword">struct </span>ThreeInputBroadcast1D4D4DInputsFixture : AddNFixture</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> {</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  ThreeInputBroadcast1D4D4DInputsFixture() : AddNFixture({ { 1 }, { 1, 1, 2, 2 }, { 1, 1, 2, 2 } }, 3) {}</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</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"><a class="line" href="_add_n_8cpp.xhtml#a77ae74482084776a0d5d8bb9d38fe935"> 146</a></span> <a class="code" href="_add_n_8cpp.xhtml#aa3e6fd11b4ccf9a029613c17d2329cf7">BOOST_FIXTURE_TEST_CASE</a>(ThreeInputBroadcast1D4D4DInputs, ThreeInputBroadcast1D4D4DInputsFixture)</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> {</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  RunTest<4>({ { <span class="stringliteral">"input0"</span>, { 1.0 } },</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  { <span class="stringliteral">"input1"</span>, { 1.0, 5.0, 2.0, 2.0 } },</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  { <span class="stringliteral">"input2"</span>, { 1.0, 1.0, 2.0, 2.0 } } },</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  { { <span class="stringliteral">"output"</span>, { 3.0, 7.0, 5.0, 5.0 } } });</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"> 154</span> <span class="keyword">struct </span>ThreeInputBroadcast4D1D4DInputsFixture : AddNFixture</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>  ThreeInputBroadcast4D1D4DInputsFixture() : AddNFixture({ { 1, 1, 2, 2 }, { 1 }, { 1, 1, 2, 2 } }, 3) {}</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> };</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> </div><div class="line"><a name="l00159"></a><span class="lineno"><a class="line" href="_add_n_8cpp.xhtml#abf29f0555dfb0c41d0f804b9ec0fd2d0"> 159</a></span> <a class="code" href="_add_n_8cpp.xhtml#aa3e6fd11b4ccf9a029613c17d2329cf7">BOOST_FIXTURE_TEST_CASE</a>(ThreeInputBroadcast4D1D4DInputs, ThreeInputBroadcast4D1D4DInputsFixture)</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> {</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  RunTest<4>({ { <span class="stringliteral">"input0"</span>, { 1.0, 3.0, 9.0, 4.0 } },</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  { <span class="stringliteral">"input1"</span>, {-2.0 } },</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  { <span class="stringliteral">"input2"</span>, { 1.0, 1.0, 2.0, 2.0 } } },</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  { { <span class="stringliteral">"output"</span>, { 0.0, 2.0, 9.0, 4.0 } } });</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> }</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> </div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> <span class="keyword">struct </span>ThreeInputBroadcast4D4D1DInputsFixture : AddNFixture</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> {</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  ThreeInputBroadcast4D4D1DInputsFixture() : AddNFixture({ { 1, 1, 2, 2 }, { 1, 1, 2, 2 }, { 1 } }, 3) {}</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="_add_n_8cpp.xhtml#abfff591d381383646c1e1cb830cdba7a"> 172</a></span> <a class="code" href="_add_n_8cpp.xhtml#aa3e6fd11b4ccf9a029613c17d2329cf7">BOOST_FIXTURE_TEST_CASE</a>(ThreeInputBroadcast4D4D1DInputs, ThreeInputBroadcast4D4D1DInputsFixture)</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<4>({ { <span class="stringliteral">"input0"</span>, { 1.0, 5.0, 2.0, 2.0 } },</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  { <span class="stringliteral">"input1"</span>, { 1.0, 1.0, 2.0, 2.0 } },</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  { <span class="stringliteral">"input2"</span>, { 1.0 } } },</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  { { <span class="stringliteral">"output"</span>, { 3.0, 7.0, 5.0, 5.0 } } });</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> }</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> </div><div class="line"><a name="l00180"></a><span class="lineno"> 180</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> |