| 87 | <a href="armnn_tf_lite_parser_2test_2_slice_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 © 2019 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> <a class="code" href="_output_shape_of_squeeze_8cpp.html#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a>(TensorflowLiteParser)</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="keyword">struct </span>SliceFixture : <span class="keyword">public</span> <a class="code" href="struct_parser_flatbuffers_fixture.html">ParserFlatbuffersFixture</a></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> {</div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>  <span class="keyword">explicit</span> SliceFixture(<span class="keyword">const</span> std::string & inputShape,</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>  <span class="keyword">const</span> std::string & outputShape,</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  <span class="keyword">const</span> std::string & beginData,</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  <span class="keyword">const</span> std::string & sizeData)</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  {</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</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="l00020"></a><span class="lineno"> 20</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="stringliteral"> "version": 3,</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="stringliteral"> "operator_codes": [</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="stringliteral"> "builtin_code": "SLICE",</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="stringliteral"> "version": 1</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="stringliteral"> }</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"> "subgraphs": [</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="stringliteral"> "tensors": [</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="stringliteral"> "shape": )" + inputShape + R</span><span class="stringliteral">"(,</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="stringliteral"> "type": "FLOAT32",</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="stringliteral"> "buffer": 0,</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="stringliteral"> "name": "inputTensor",</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="stringliteral"> "min": [</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="stringliteral"> 0.0</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"> "max": [</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="stringliteral"> 255.0</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"> "details_type": 0,</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="stringliteral"> "quantized_dimension": 0</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"> "is_variable": false</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="stringliteral"> },</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"> "shape": )" + outputShape + R</span><span class="stringliteral">"(,</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="stringliteral"> "type": "FLOAT32",</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="stringliteral"> "buffer": 1,</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="stringliteral"> "name": "outputTensor",</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="stringliteral"> "details_type": 0,</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="stringliteral"> "quantized_dimension": 0</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"> "is_variable": false</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="stringliteral"> })";</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="stringliteral"> <a class="code" href="struct_parser_flatbuffers_fixture.html#a803c86dca3acef653c1cc481a27be7a9">m_JsonString</a> += R</span><span class="stringliteral">"(,</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="stringliteral"> "shape": [</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="stringliteral"> 3</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"> "type": "INT32",</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="stringliteral"> "buffer": 2,</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="stringliteral"> "name": "beginTensor",</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="stringliteral"> })";</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="stringliteral"> <a class="code" href="struct_parser_flatbuffers_fixture.html#a803c86dca3acef653c1cc481a27be7a9">m_JsonString</a> += R</span><span class="stringliteral">"(,</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="stringliteral"> "shape": [</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="stringliteral"> 3</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"> "type": "INT32",</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="stringliteral"> "buffer": 3,</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="stringliteral"> "name": "sizeTensor",</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="stringliteral"> "quantization": {</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#a803c86dca3acef653c1cc481a27be7a9">m_JsonString</a> += R</span><span class="stringliteral">"(],</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="stringliteral"> "inputs": [</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="stringliteral"> 0</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"> "outputs": [</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="stringliteral"> 1</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"> "operators": [</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"> "opcode_index": 0,</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="stringliteral"> "inputs": [</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="stringliteral"> 0,</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="stringliteral"> 2,</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="stringliteral"> 3)";</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="stringliteral"> <a class="code" href="struct_parser_flatbuffers_fixture.html#a803c86dca3acef653c1cc481a27be7a9">m_JsonString</a> += R</span><span class="stringliteral">"(],</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="stringliteral"> "outputs": [</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="stringliteral"> 1</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="stringliteral"> ],</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="stringliteral"> mutating_variable_inputs: [</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="stringliteral"> ]</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="stringliteral"> }</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"> ],</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="stringliteral"> "description": "TOCO Converted.",</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="stringliteral"> "buffers": [</span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="stringliteral"> { },</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"> <a class="code" href="struct_parser_flatbuffers_fixture.html#a803c86dca3acef653c1cc481a27be7a9">m_JsonString</a> += R</span><span class="stringliteral">"(,{"data": )" + beginData + R</span><span class="stringliteral">"( })";</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="stringliteral"> <a class="code" href="struct_parser_flatbuffers_fixture.html#a803c86dca3acef653c1cc481a27be7a9">m_JsonString</a> += R</span><span class="stringliteral">"(,{"data": )" + sizeData + R</span><span class="stringliteral">"( })";</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="stringliteral"> <a class="code" href="struct_parser_flatbuffers_fixture.html#a803c86dca3acef653c1cc481a27be7a9">m_JsonString</a> += R</span><span class="stringliteral">"(</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> <span class="stringliteral"> ]</span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <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"> <a class="code" href="struct_parser_flatbuffers_fixture.html#a2bb4ea256fbbf6d53068ca93bb4bc95c">SetupSingleInputSingleOutput</a>(</span><span class="stringliteral">"inputTensor"</span>, <span class="stringliteral">"outputTensor"</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"> 118</span> </div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="keyword">struct </span>SliceFixtureSingleDim : SliceFixture</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>  SliceFixtureSingleDim() : SliceFixture(<span class="stringliteral">"[ 3, 2, 3 ]"</span>,</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="stringliteral">"[ 1, 1, 3 ]"</span>,</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="stringliteral">"[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]"</span>,</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="stringliteral">"[ 1, 0, 0, 0, 1, 0, 0, 0, 3, 0, 0, 0 ]"</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"><a class="line" href="armnn_tf_lite_parser_2test_2_slice_8cpp.html#ad39febdc840775ae427bf1312905b3a1"> 127</a></span> <a class="code" href="armnn_tf_lite_parser_2test_2_slice_8cpp.html#ad39febdc840775ae427bf1312905b3a1">BOOST_FIXTURE_TEST_CASE</a>(SliceSingleDim, SliceFixtureSingleDim)</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>  RunTest<3, armnn::DataType::Float32>(</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  0,</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  {{<span class="stringliteral">"inputTensor"</span>, { 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6 }}},</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  {{<span class="stringliteral">"outputTensor"</span>, { 3, 3, 3 }}});</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>  BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo(0, <span class="stringliteral">"outputTensor"</span>).second.GetShape()</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  == <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,3})));</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"> 138</span> <span class="keyword">struct </span>SliceFixtureD123 : SliceFixture</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>  SliceFixtureD123() : SliceFixture(<span class="stringliteral">"[ 3, 2, 3 ]"</span>,</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="stringliteral">"[ 1, 2, 3 ]"</span>,</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="stringliteral">"[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]"</span>,</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="stringliteral">"[ 1, 0, 0, 0, 2, 0, 0, 0, 3, 0, 0, 0 ]"</span>) {}</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="armnn_tf_lite_parser_2test_2_slice_8cpp.html#ab11bfe5d6681c475acd000f75ee247fa"> 146</a></span> <a class="code" href="armnn_tf_lite_parser_2test_2_slice_8cpp.html#ad39febdc840775ae427bf1312905b3a1">BOOST_FIXTURE_TEST_CASE</a>(SliceD123, SliceFixtureD123)</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<3, armnn::DataType::Float32>(</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  0,</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  {{<span class="stringliteral">"inputTensor"</span>, { 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6 }}},</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  {{<span class="stringliteral">"outputTensor"</span>, { 3, 3, 3, 4, 4, 4 }}});</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>  BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo(0, <span class="stringliteral">"outputTensor"</span>).second.GetShape()</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  == <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,2,3})));</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> </div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> <span class="keyword">struct </span>SliceFixtureD213 : SliceFixture</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>  SliceFixtureD213() : SliceFixture(<span class="stringliteral">"[ 3, 2, 3 ]"</span>,</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="stringliteral">"[ 2, 1, 3 ]"</span>,</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="stringliteral">"[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]"</span>,</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="stringliteral">"[ 2, 0, 0, 0, 1, 0, 0, 0, 3, 0, 0, 0 ]"</span>) {}</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> };</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> </div><div class="line"><a name="l00165"></a><span class="lineno"><a class="line" href="armnn_tf_lite_parser_2test_2_slice_8cpp.html#a36d5b547c391071a26e2dc458aee103e"> 165</a></span> <a class="code" href="armnn_tf_lite_parser_2test_2_slice_8cpp.html#ad39febdc840775ae427bf1312905b3a1">BOOST_FIXTURE_TEST_CASE</a>(SliceD213, SliceFixtureD213)</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>  RunTest<3, armnn::DataType::Float32>(</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  0,</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  {{<span class="stringliteral">"inputTensor"</span>, { 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6 }}},</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  {{<span class="stringliteral">"outputTensor"</span>, { 3, 3, 3, 5, 5, 5 }}});</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> </div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo(0, <span class="stringliteral">"outputTensor"</span>).second.GetShape()</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  == <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({2,1,3})));</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> </div><div class="line"><a name="l00176"></a><span class="lineno"> 176</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_slice_8cpp_html_ad39febdc840775ae427bf1312905b3a1"><div class="ttname"><a href="armnn_tf_lite_parser_2test_2_slice_8cpp.html#ad39febdc840775ae427bf1312905b3a1">BOOST_FIXTURE_TEST_CASE</a></div><div class="ttdeci">BOOST_FIXTURE_TEST_CASE(SliceSingleDim, SliceFixtureSingleDim)</div><div class="ttdef"><b>Definition:</b> <a href="armnn_tf_lite_parser_2test_2_slice_8cpp_source.html#l00127">Slice.cpp:127</a></div></div> |