| 101 | <a href="armnn_tf_lite_parser_2test_2_reshape_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/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.xhtml">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.xhtml#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>ReshapeFixture : <span class="keyword">public</span> <a class="code" href="struct_parser_flatbuffers_fixture.xhtml">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> ReshapeFixture(<span class="keyword">const</span> std::string& inputShape,</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  <span class="keyword">const</span> std::string& outputShape,</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <span class="keyword">const</span> std::string& newShape)</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.xhtml#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": "RESHAPE" } ],</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"> <a class="code" href="struct_parser_flatbuffers_fixture.xhtml#a803c86dca3acef653c1cc481a27be7a9">m_JsonString</a> += R</span><span class="stringliteral">"(</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="stringliteral"> "shape" : )" + inputShape + </span><span class="stringliteral">","</span>;</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <a class="code" href="struct_parser_flatbuffers_fixture.xhtml#a803c86dca3acef653c1cc481a27be7a9">m_JsonString</a> += R<span class="stringliteral">"(</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="stringliteral"> "type": "UINT8",</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="stringliteral"> "buffer": 0,</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="stringliteral"> "name": "inputTensor",</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="stringliteral"> "min": [ 0.0 ],</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="stringliteral"> "max": [ 255.0 ],</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="stringliteral"> "scale": [ 1.0 ],</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="stringliteral"> "zero_point": [ 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"> },</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"> <a class="code" href="struct_parser_flatbuffers_fixture.xhtml#a803c86dca3acef653c1cc481a27be7a9">m_JsonString</a> += R</span><span class="stringliteral">"(</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="stringliteral"> "shape" : )" + outputShape;</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="stringliteral"> <a class="code" href="struct_parser_flatbuffers_fixture.xhtml#a803c86dca3acef653c1cc481a27be7a9">m_JsonString</a> += R</span><span class="stringliteral">"(,</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="stringliteral"> "type": "UINT8",</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="stringliteral"> "buffer": 1,</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="stringliteral"> "name": "outputTensor",</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="stringliteral"> "min": [ 0.0 ],</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="stringliteral"> "max": [ 255.0 ],</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="stringliteral"> "scale": [ 1.0 ],</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="stringliteral"> "zero_point": [ 0 ],</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"> ],</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="stringliteral"> "inputs": [ 0 ],</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="stringliteral"> "outputs": [ 1 ],</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="stringliteral"> "operators": [</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"> "opcode_index": 0,</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="stringliteral"> "inputs": [ 0 ],</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="stringliteral"> "outputs": [ 1 ],</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="stringliteral"> "builtin_options_type": "ReshapeOptions",</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="stringliteral"> "builtin_options": {)";</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="stringliteral"> </span><span class="keywordflow">if</span> (!newShape.empty())</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  {</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <a class="code" href="struct_parser_flatbuffers_fixture.xhtml#a803c86dca3acef653c1cc481a27be7a9">m_JsonString</a> += R<span class="stringliteral">"("new_shape" : )" + newShape;</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"> <a class="code" href="struct_parser_flatbuffers_fixture.xhtml#a803c86dca3acef653c1cc481a27be7a9">m_JsonString</a> += R</span><span class="stringliteral">"(},</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="stringliteral"> "custom_options_format": "FLEXBUFFERS"</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"> ],</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"> "buffers" : [ {}, {} ]</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></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"></span><span class="keyword">struct </span>ReshapeFixtureWithReshapeDims : ReshapeFixture</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>  ReshapeFixtureWithReshapeDims() : ReshapeFixture(<span class="stringliteral">"[ 1, 9 ]"</span>, <span class="stringliteral">"[ 3, 3 ]"</span>, <span class="stringliteral">"[ 3, 3 ]"</span>) {}</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"><a class="line" href="armnn_tf_lite_parser_2test_2_reshape_8cpp.xhtml#ac442c71500e3814f50dcabceb81b644d"> 86</a></span> <a class="code" href="armnn_onnx_parser_2test_2_reshape_8cpp.xhtml#a8c8b889c4603b12e8e15e8084c214ff5">BOOST_FIXTURE_TEST_CASE</a>(ParseReshapeWithReshapeDims, ReshapeFixtureWithReshapeDims)</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>  SetupSingleInputSingleOutput(<span class="stringliteral">"inputTensor"</span>, <span class="stringliteral">"outputTensor"</span>);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  RunTest<2, armnn::DataType::QAsymmU8>(0,</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  { 1, 2, 3, 4, 5, 6, 7, 8, 9 },</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  { 1, 2, 3, 4, 5, 6, 7, 8, 9 });</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo(0, <span class="stringliteral">"outputTensor"</span>).second.GetShape()</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  == <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({3,3})));</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> </div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="keyword">struct </span>ReshapeFixtureWithReshapeDimsFlatten : ReshapeFixture</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> {</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  ReshapeFixtureWithReshapeDimsFlatten() : ReshapeFixture(<span class="stringliteral">"[ 3, 3 ]"</span>, <span class="stringliteral">"[ 9 ]"</span>, <span class="stringliteral">"[ -1 ]"</span>) {}</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> };</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div><div class="line"><a name="l00101"></a><span class="lineno"><a class="line" href="armnn_tf_lite_parser_2test_2_reshape_8cpp.xhtml#aafd2c5e6b8d98de2f043d622197bc263"> 101</a></span> <a class="code" href="armnn_onnx_parser_2test_2_reshape_8cpp.xhtml#a8c8b889c4603b12e8e15e8084c214ff5">BOOST_FIXTURE_TEST_CASE</a>(ParseReshapeWithReshapeDimsFlatten, ReshapeFixtureWithReshapeDimsFlatten)</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> {</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  SetupSingleInputSingleOutput(<span class="stringliteral">"inputTensor"</span>, <span class="stringliteral">"outputTensor"</span>);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  RunTest<1, armnn::DataType::QAsymmU8>(0,</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  { 1, 2, 3, 4, 5, 6, 7, 8, 9 },</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  { 1, 2, 3, 4, 5, 6, 7, 8, 9 });</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo(0, <span class="stringliteral">"outputTensor"</span>).second.GetShape()</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  == <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({9})));</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>ReshapeFixtureWithReshapeDimsFlattenTwoDims : ReshapeFixture</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>  ReshapeFixtureWithReshapeDimsFlattenTwoDims() : ReshapeFixture(<span class="stringliteral">"[ 3, 2, 3 ]"</span>, <span class="stringliteral">"[ 2, 9 ]"</span>, <span class="stringliteral">"[ 2, -1 ]"</span>) {}</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> };</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> </div><div class="line"><a name="l00116"></a><span class="lineno"><a class="line" href="armnn_tf_lite_parser_2test_2_reshape_8cpp.xhtml#ad23517a073df02c62fd71773a988b166"> 116</a></span> <a class="code" href="armnn_onnx_parser_2test_2_reshape_8cpp.xhtml#a8c8b889c4603b12e8e15e8084c214ff5">BOOST_FIXTURE_TEST_CASE</a>(ParseReshapeWithReshapeDimsFlattenTwoDims, ReshapeFixtureWithReshapeDimsFlattenTwoDims)</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>  SetupSingleInputSingleOutput(<span class="stringliteral">"inputTensor"</span>, <span class="stringliteral">"outputTensor"</span>);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  RunTest<2, armnn::DataType::QAsymmU8>(0,</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</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="l00121"></a><span class="lineno"> 121</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="l00122"></a><span class="lineno"> 122</span>  BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo(0, <span class="stringliteral">"outputTensor"</span>).second.GetShape()</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  == <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({2,9})));</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</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> <span class="keyword">struct </span>ReshapeFixtureWithReshapeDimsFlattenOneDim : ReshapeFixture</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> {</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  ReshapeFixtureWithReshapeDimsFlattenOneDim() : ReshapeFixture(<span class="stringliteral">"[ 2, 9 ]"</span>, <span class="stringliteral">"[ 2, 3, 3 ]"</span>, <span class="stringliteral">"[ 2, -1, 3 ]"</span>) {}</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"><a class="line" href="armnn_tf_lite_parser_2test_2_reshape_8cpp.xhtml#a1e03d2dcfa14a5aea9b0533518a9e9de"> 131</a></span> <a class="code" href="armnn_onnx_parser_2test_2_reshape_8cpp.xhtml#a8c8b889c4603b12e8e15e8084c214ff5">BOOST_FIXTURE_TEST_CASE</a>(ParseReshapeWithReshapeDimsFlattenOneDim, ReshapeFixtureWithReshapeDimsFlattenOneDim)</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>  SetupSingleInputSingleOutput(<span class="stringliteral">"inputTensor"</span>, <span class="stringliteral">"outputTensor"</span>);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  RunTest<3, armnn::DataType::QAsymmU8>(0,</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</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="l00136"></a><span class="lineno"> 136</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="l00137"></a><span class="lineno"> 137</span>  BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo(0, <span class="stringliteral">"outputTensor"</span>).second.GetShape()</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  == <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({2,3,3})));</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>DynamicReshapeFixtureWithReshapeDimsFlattenOneDim : ReshapeFixture</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>  DynamicReshapeFixtureWithReshapeDimsFlattenOneDim() : ReshapeFixture(<span class="stringliteral">"[ 2, 9 ]"</span>,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="stringliteral">"[ ]"</span>,</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="stringliteral">"[ 2, -1, 3 ]"</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_lite_parser_2test_2_reshape_8cpp.xhtml#a7107e9f3df81a42a935c527e95c13e90"> 148</a></span> <a class="code" href="armnn_onnx_parser_2test_2_reshape_8cpp.xhtml#a8c8b889c4603b12e8e15e8084c214ff5">BOOST_FIXTURE_TEST_CASE</a>(DynParseReshapeWithReshapeDimsFlattenOneDim, DynamicReshapeFixtureWithReshapeDimsFlattenOneDim)</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>  SetupSingleInputSingleOutput(<span class="stringliteral">"inputTensor"</span>, <span class="stringliteral">"outputTensor"</span>);</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  RunTest<3,</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>,</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  armnn::DataType::QAsymmU8>(0,</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</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="l00155"></a><span class="lineno"> 155</span>  { { <span class="stringliteral">"outputTensor"</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="l00156"></a><span class="lineno"> 156</span>  <span class="keyword">true</span>);</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"> 159</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> |