| <a href="armnn_tf_lite_parser_2test_2_maximum_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> <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/test/unit_test.hpp></span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_parser_flatbuffers_fixture_8hpp.html">ParserFlatbuffersFixture.hpp</a>"</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "../TfLiteParser.hpp"</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <string></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <iostream></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.html#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a>(TensorflowLiteParser)</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>MaximumFixture : <span class="keyword">public</span> <a class="code" href="struct_parser_flatbuffers_fixture.html">ParserFlatbuffersFixture</a></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> MaximumFixture(<span class="keyword">const</span> std::string & inputShape1,</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  <span class="keyword">const</span> std::string & inputShape2,</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <span class="keyword">const</span> std::string & outputShape)</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  {</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <a class="code" href="struct_parser_flatbuffers_fixture.html#a803c86dca3acef653c1cc481a27be7a9">m_JsonString</a> = R<span class="stringliteral">"(</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="stringliteral"> "version": 3,</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="stringliteral"> "operator_codes": [ { "builtin_code": "MAXIMUM" } ],</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="stringliteral"> "subgraphs": [ {</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="stringliteral"> "tensors": [</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="stringliteral"> "shape": )" + inputShape1 + R</span><span class="stringliteral">"(,</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="stringliteral"> "type": "FLOAT32",</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="stringliteral"> "buffer": 0,</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="stringliteral"> "name": "inputTensor1",</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="stringliteral"> "min": [ 0.0 ],</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="stringliteral"> "max": [ 255.0 ],</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="stringliteral"> "scale": [ 1.0 ],</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="stringliteral"> "zero_point": [ 0 ],</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="stringliteral"> },</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"> "shape": )" + inputShape2 + R</span><span class="stringliteral">"(,</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="stringliteral"> "type": "FLOAT32",</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="stringliteral"> "buffer": 1,</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="stringliteral"> "name": "inputTensor2",</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="stringliteral"> "min": [ 0.0 ],</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="stringliteral"> "max": [ 255.0 ],</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="stringliteral"> "scale": [ 1.0 ],</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="stringliteral"> "zero_point": [ 0 ],</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="stringliteral"> },</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"> "shape": )" + outputShape + R</span><span class="stringliteral">"( ,</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="stringliteral"> "type": "FLOAT32",</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="stringliteral"> "buffer": 2,</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="stringliteral"> "name": "outputTensor",</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="stringliteral"> "min": [ 0.0 ],</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="stringliteral"> "max": [ 255.0 ],</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="stringliteral"> "scale": [ 1.0 ],</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="stringliteral"> "zero_point": [ 0 ],</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="stringliteral"> }</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"> "inputs": [ 0, 1 ],</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="stringliteral"> "outputs": [ 2 ],</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="stringliteral"> "operators": [</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"> "opcode_index": 0,</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="stringliteral"> "inputs": [ 0, 1 ],</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="stringliteral"> "outputs": [ 2 ],</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="stringliteral"> "custom_options_format": "FLEXBUFFERS"</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="stringliteral"> }</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"> } ],</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="stringliteral"> "buffers" : [</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></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="stringliteral"> ]</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="stringliteral"> )";</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="stringliteral"> <a class="code" href="struct_parser_flatbuffers_fixture.html#a769404f2985a027a0d626fedfd4de1e9">Setup</a>();</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="stringliteral">};</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"></span><span class="keyword">struct </span>MaximumFixture4D4D : MaximumFixture</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> {</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  MaximumFixture4D4D() : MaximumFixture(<span class="stringliteral">"[ 1, 2, 2, 3 ]"</span>,</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="stringliteral">"[ 1, 2, 2, 3 ]"</span>,</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="stringliteral">"[ 1, 2, 2, 3 ]"</span>) {}</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> };</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00093"></a><span class="lineno"><a class="line" href="armnn_tf_lite_parser_2test_2_maximum_8cpp.html#a0f377c0a6fff424ba70bc19486733218"> 93</a></span> <a class="code" href="armnn_tf_lite_parser_2test_2_maximum_8cpp.html#a0f377c0a6fff424ba70bc19486733218">BOOST_FIXTURE_TEST_CASE</a>(ParseMaximum4D4D, MaximumFixture4D4D)</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> {</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  RunTest<4, armnn::DataType::Float32>(</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  0,</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  {{<span class="stringliteral">"inputTensor1"</span>, { 0.0f, 1.0f, 2.0f,</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  3.0f, 4.0f, 5.0f,</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  6.0f, 7.0f, 8.0f,</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  9.0f, 10.0f, 11.0f }},</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  {<span class="stringliteral">"inputTensor2"</span>, { 5.0f, 1.0f, 3.0f,</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  4.0f, 5.5f, 1.0f,</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  2.0f, 17.0f, 18.0f,</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  19.0f, 1.0f, 3.0f }}},</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  {{<span class="stringliteral">"outputTensor"</span>, { 5.0f, 1.0f, 3.0f,</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  4.0f, 5.5f, 5.0f,</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  6.0f, 17.0f, 18.0f,</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  19.0f, 10.0f, 11.0f }}});</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> }</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> <span class="keyword">struct </span>MaximumBroadcastFixture4D4D : MaximumFixture</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>  MaximumBroadcastFixture4D4D() : MaximumFixture(<span class="stringliteral">"[ 1, 1, 2, 1 ]"</span>,</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="stringliteral">"[ 1, 2, 1, 3 ]"</span>,</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="stringliteral">"[ 1, 2, 2, 3 ]"</span>) {}</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> };</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> </div><div class="line"><a name="l00118"></a><span class="lineno"><a class="line" href="armnn_tf_lite_parser_2test_2_maximum_8cpp.html#a6a82cdf952b68e19b0c32eaddfe98ece"> 118</a></span> <a class="code" href="armnn_tf_lite_parser_2test_2_maximum_8cpp.html#a0f377c0a6fff424ba70bc19486733218">BOOST_FIXTURE_TEST_CASE</a>(ParseMaximumBroadcast4D4D, MaximumBroadcastFixture4D4D)</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>  RunTest<4, armnn::DataType::Float32>(</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  0,</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  {{<span class="stringliteral">"inputTensor1"</span>, { 2.0f, 4.0f }},</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  {<span class="stringliteral">"inputTensor2"</span>, { 1.0f, 2.0f, 3.0f,</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  4.0f, 5.0f, 6.0f }}},</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  {{<span class="stringliteral">"outputTensor"</span>, { 2.0f, 2.0f, 3.0f,</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  4.0f, 4.0f, 4.0f,</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  4.0f, 5.0f, 6.0f }}});</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> </div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="keyword">struct </span>MaximumBroadcastFixture4D1D : MaximumFixture</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> {</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  MaximumBroadcastFixture4D1D() : MaximumFixture(<span class="stringliteral">"[ 1, 2, 2, 3 ]"</span>,</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="stringliteral">"[ 1 ]"</span>,</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="stringliteral">"[ 1, 2, 2, 3 ]"</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> </div><div class="line"><a name="l00138"></a><span class="lineno"><a class="line" href="armnn_tf_lite_parser_2test_2_maximum_8cpp.html#a37c6d17de86eabd265297a791765d0b5"> 138</a></span> <a class="code" href="armnn_tf_lite_parser_2test_2_maximum_8cpp.html#a0f377c0a6fff424ba70bc19486733218">BOOST_FIXTURE_TEST_CASE</a>(ParseMaximumBroadcast4D1D, MaximumBroadcastFixture4D1D)</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>  RunTest<4, armnn::DataType::Float32>(</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  0,</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  {{<span class="stringliteral">"inputTensor1"</span>, { 0.0f, 1.0f, 2.0f,</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  3.0f, 4.0f, 5.0f,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  6.0f, 7.0f, 8.0f,</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  9.0f, 10.0f, 11.0f }},</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  {<span class="stringliteral">"inputTensor2"</span>, { 5.0f }}},</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  {{<span class="stringliteral">"outputTensor"</span>, { 5.0f, 5.0f, 5.0f,</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  5.0f, 5.0f, 5.0f,</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  6.0f, 7.0f, 8.0f,</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  9.0f, 10.0f, 11.0f }}});</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> }</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> <span class="keyword">struct </span>MaximumBroadcastFixture1D4D : MaximumFixture</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> {</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  MaximumBroadcastFixture1D4D() : MaximumFixture(<span class="stringliteral">"[ 1 ]"</span>,</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="stringliteral">"[ 1, 2, 2, 3 ]"</span>,</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="stringliteral">"[ 1, 2, 2, 3 ]"</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"> 159</span> </div><div class="line"><a name="l00160"></a><span class="lineno"><a class="line" href="armnn_tf_lite_parser_2test_2_maximum_8cpp.html#a784085b62708c5fe13a4fb5b70101b97"> 160</a></span> <a class="code" href="armnn_tf_lite_parser_2test_2_maximum_8cpp.html#a0f377c0a6fff424ba70bc19486733218">BOOST_FIXTURE_TEST_CASE</a>(ParseMaximumBroadcast1D4D, MaximumBroadcastFixture1D4D)</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<4, armnn::DataType::Float32>(</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  0,</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  {{<span class="stringliteral">"inputTensor1"</span>, { 3.0f }},</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  {<span class="stringliteral">"inputTensor2"</span>, { 0.0f, 1.0f, 2.0f,</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  3.0f, 4.0f, 5.0f,</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  6.0f, 7.0f, 8.0f,</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  9.0f, 10.0f, 11.0f }}},</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  {{<span class="stringliteral">"outputTensor"</span>, { 3.0f, 3.0f, 3.0f,</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  3.0f, 4.0f, 5.0f,</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  6.0f, 7.0f, 8.0f,</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  9.0f, 10.0f, 11.0f }}});</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> </div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> <a class="code" href="_profiler_tests_8cpp.html#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a>()</div><div class="ttc" id="armnn_tf_lite_parser_2test_2_maximum_8cpp_html_a0f377c0a6fff424ba70bc19486733218"><div class="ttname"><a href="armnn_tf_lite_parser_2test_2_maximum_8cpp.html#a0f377c0a6fff424ba70bc19486733218">BOOST_FIXTURE_TEST_CASE</a></div><div class="ttdeci">BOOST_FIXTURE_TEST_CASE(ParseMaximum4D4D, MaximumFixture4D4D)</div><div class="ttdef"><b>Definition:</b> <a href="armnn_tf_lite_parser_2test_2_maximum_8cpp_source.html#l00093">Maximum.cpp:93</a></div></div> |