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+<a href="armnn_tf_lite_parser_2test_2_get_inputs_outputs_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>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="preprocessor">#include &lt;boost/test/unit_test.hpp&gt;</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_parser_flatbuffers_fixture_8hpp.html">ParserFlatbuffersFixture.hpp</a>&quot;</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="preprocessor">#include &quot;../TfLiteParser.hpp&quot;</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;</div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="keyword">using</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.html">armnnTfLiteParser::TfLiteParser</a>;</div><div class="line"><a name="l00010"></a><span class="lineno"><a class="line" href="armnn_tf_lite_parser_2test_2_get_inputs_outputs_8cpp.html#ab8262a23f76732432e30196fa09a5d4d">   10</a></span>&#160;<span class="keyword">using</span> <a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.html#a503ae4f55dae1486e53978657083b35d">ModelPtr</a> = <a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.html#a503ae4f55dae1486e53978657083b35d">TfLiteParser::ModelPtr</a>;</div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;</div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<a class="code" href="_output_shape_of_squeeze_8cpp.html#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a>(TensorflowLiteParser)</div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;</div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="keyword">struct </span>GetInputsOutputsMainFixture : <span class="keyword">public</span> <a class="code" href="struct_parser_flatbuffers_fixture.html">ParserFlatbuffersFixture</a></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;{</div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;    <span class="keyword">explicit</span> GetInputsOutputsMainFixture(<span class="keyword">const</span> std::string&amp; inputs, <span class="keyword">const</span> std::string&amp; outputs)</div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;    {</div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;        m_JsonString = R<span class="stringliteral">&quot;(</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="stringliteral">        {</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="stringliteral">            &quot;version&quot;: 3,</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="stringliteral">            &quot;operator_codes&quot;: [ { &quot;builtin_code&quot;: &quot;AVERAGE_POOL_2D&quot; }, { &quot;builtin_code&quot;: &quot;CONV_2D&quot; } ],</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="stringliteral">            &quot;subgraphs&quot;: [</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="stringliteral">            {</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="stringliteral">                &quot;tensors&quot;: [</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="stringliteral">                {</span></div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="stringliteral">                    &quot;shape&quot;: [ 1, 1, 1, 1 ] ,</span></div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="stringliteral">                    &quot;type&quot;: &quot;UINT8&quot;,</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="stringliteral">                            &quot;buffer&quot;: 0,</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="stringliteral">                            &quot;name&quot;: &quot;OutputTensor&quot;,</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="stringliteral">                            &quot;quantization&quot;: {</span></div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="stringliteral">                                &quot;min&quot;: [ 0.0 ],</span></div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="stringliteral">                                &quot;max&quot;: [ 255.0 ],</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="stringliteral">                                &quot;scale&quot;: [ 1.0 ],</span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="stringliteral">                                &quot;zero_point&quot;: [ 0 ]</span></div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="stringliteral">                            }</span></div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="stringliteral">                },</span></div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="stringliteral">                {</span></div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="stringliteral">                    &quot;shape&quot;: [ 1, 2, 2, 1 ] ,</span></div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="stringliteral">                    &quot;type&quot;: &quot;UINT8&quot;,</span></div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="stringliteral">                            &quot;buffer&quot;: 1,</span></div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;<span class="stringliteral">                            &quot;name&quot;: &quot;InputTensor&quot;,</span></div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;<span class="stringliteral">                            &quot;quantization&quot;: {</span></div><div class="line"><a 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name="l00049"></a><span class="lineno">   49</span>&#160;<span class="stringliteral">                ],</span></div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;<span class="stringliteral">                &quot;inputs&quot;: [ 1 ],</span></div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;<span class="stringliteral">                &quot;outputs&quot;: [ 0 ],</span></div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;<span class="stringliteral">                &quot;operators&quot;: [ {</span></div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;<span class="stringliteral">                        &quot;opcode_index&quot;: 0,</span></div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;<span class="stringliteral">                        &quot;inputs&quot;:  )&quot;</span></div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;<span class="stringliteral">                            + inputs</span></div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;<span class="stringliteral">                            + R</span><span class="stringliteral">&quot;(,</span></div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;<span class="stringliteral">                        &quot;outputs&quot;: )&quot;</span></div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;<span class="stringliteral">                            + outputs</span></div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;<span class="stringliteral">                            + R</span><span class="stringliteral">&quot;(,</span></div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;<span class="stringliteral">                        &quot;builtin_options_type&quot;: &quot;Pool2DOptions&quot;,</span></div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;<span class="stringliteral">                        &quot;builtin_options&quot;:</span></div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;<span class="stringliteral">                        {</span></div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;<span class="stringliteral">                            &quot;padding&quot;: &quot;VALID&quot;,</span></div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;<span class="stringliteral">                            &quot;stride_w&quot;: 2,</span></div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;<span class="stringliteral">                            &quot;stride_h&quot;: 2,</span></div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;<span class="stringliteral">                            &quot;filter_width&quot;: 2,</span></div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;<span class="stringliteral">                            &quot;filter_height&quot;: 2,</span></div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;<span class="stringliteral">                            &quot;fused_activation_function&quot;: &quot;NONE&quot;</span></div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;<span class="stringliteral">                        },</span></div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;<span class="stringliteral">                        &quot;custom_options_format&quot;: &quot;FLEXBUFFERS&quot;</span></div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;<span class="stringliteral">                    } ]</span></div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;<span class="stringliteral">                },</span></div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;<span class="stringliteral">                {</span></div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;<span class="stringliteral">                    &quot;tensors&quot;: [</span></div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;<span class="stringliteral">                        {</span></div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;<span class="stringliteral">                            &quot;shape&quot;: [ 1, 3, 3, 1 ],</span></div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;<span class="stringliteral">                            &quot;type&quot;: &quot;UINT8&quot;,</span></div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;<span class="stringliteral">                            &quot;buffer&quot;: 0,</span></div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;<span class="stringliteral">                            &quot;name&quot;: &quot;ConvInputTensor&quot;,</span></div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;<span class="stringliteral">                            &quot;quantization&quot;: {</span></div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;<span class="stringliteral">                                &quot;scale&quot;: [ 1.0 ],</span></div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;<span class="stringliteral">                                &quot;zero_point&quot;: [ 0 ],</span></div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;<span class="stringliteral">                            }</span></div><div class="line"><a name="l00084"></a><span class="lineno">   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class="lineno">   90</span>&#160;<span class="stringliteral">                            &quot;quantization&quot;: {</span></div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;<span class="stringliteral">                                &quot;min&quot;: [ 0.0 ],</span></div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;<span class="stringliteral">                                &quot;max&quot;: [ 511.0 ],</span></div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;<span class="stringliteral">                                &quot;scale&quot;: [ 2.0 ],</span></div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;<span class="stringliteral">                                &quot;zero_point&quot;: [ 0 ],</span></div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;<span class="stringliteral">                            }</span></div><div 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{</span></div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;<span class="stringliteral">                            &quot;opcode_index&quot;: 0,</span></div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;<span class="stringliteral">                            &quot;inputs&quot;: [ 0, 2 ],</span></div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;<span class="stringliteral">                            &quot;outputs&quot;: [ 1 ],</span></div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;<span class="stringliteral">                            &quot;builtin_options_type&quot;: &quot;Conv2DOptions&quot;,</span></div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;<span class="stringliteral">                            &quot;builtin_options&quot;: {</span></div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;<span class="stringliteral">                                &quot;padding&quot;: &quot;VALID&quot;,</span></div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;<span class="stringliteral">                                &quot;stride_w&quot;: 1,</span></div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;<span class="stringliteral">                                &quot;stride_h&quot;: 1,</span></div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;<span class="stringliteral">                                &quot;fused_activation_function&quot;: &quot;NONE&quot;</span></div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;<span class="stringliteral">                            },</span></div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;<span class="stringliteral">                            &quot;custom_options_format&quot;: &quot;FLEXBUFFERS&quot;</span></div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;<span class="stringliteral">                        }</span></div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;<span class="stringliteral">                    ],</span></div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;<span class="stringliteral">                }</span></div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;<span class="stringliteral">            ],</span></div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;<span class="stringliteral">            &quot;description&quot;: &quot;Test Subgraph Inputs Outputs&quot;,</span></div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;<span class="stringliteral">            &quot;buffers&quot; : [</span></div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;<span class="stringliteral">                    { },</span></div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;<span class="stringliteral">                    { },</span></div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;<span class="stringliteral">                    { &quot;data&quot;: [ 2,1,0, 6,2,1, 4,1,2 ], },</span></div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;<span class="stringliteral">                    { },</span></div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;<span class="stringliteral">                ]</span></div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;<span class="stringliteral">        })&quot;;</span></div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;<span class="stringliteral"></span></div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;<span class="stringliteral">        <a class="code" href="struct_parser_flatbuffers_fixture.html#a69fc8e7f42386fa67732cb8c98d8b024">ReadStringToBinary</a>();</span></div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;<span class="stringliteral">    }</span></div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;<span class="stringliteral"></span></div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;<span class="stringliteral">};</span></div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;<span class="stringliteral"></span></div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;<span class="stringliteral"></span><span class="keyword">struct </span>GetEmptyInputsOutputsFixture : GetInputsOutputsMainFixture</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;{</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;    GetEmptyInputsOutputsFixture() : GetInputsOutputsMainFixture(<span class="stringliteral">&quot;[ ]&quot;</span>, <span class="stringliteral">&quot;[ ]&quot;</span>) {}</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;};</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;<span class="keyword">struct </span>GetInputsOutputsFixture : GetInputsOutputsMainFixture</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;{</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;    GetInputsOutputsFixture() : GetInputsOutputsMainFixture(<span class="stringliteral">&quot;[ 1 ]&quot;</span>, <span class="stringliteral">&quot;[ 0 ]&quot;</span>) {}</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;};</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;</div><div class="line"><a name="l00153"></a><span class="lineno"><a class="line" href="armnn_tf_lite_parser_2test_2_get_inputs_outputs_8cpp.html#a335c7484ecd7511ded76bacd7a5ae10e">  153</a></span>&#160;<a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.html#ae636b47986a5a3f38e00a366c1c0060e">BOOST_FIXTURE_TEST_CASE</a>(GetEmptyInputs, GetEmptyInputsOutputsFixture)</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;{</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;    <a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.html#a503ae4f55dae1486e53978657083b35d">TfLiteParser::ModelPtr</a> model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;    TfLiteParser::TensorRawPtrVector tensors = TfLiteParser::GetInputs(model, 0, 0);</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;    BOOST_CHECK_EQUAL(0, tensors.size());</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;}</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;</div><div class="line"><a name="l00160"></a><span class="lineno"><a class="line" href="armnn_tf_lite_parser_2test_2_get_inputs_outputs_8cpp.html#ab5a78eaf3349aa3d92b8e52573702bbc">  160</a></span>&#160;<a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.html#ae636b47986a5a3f38e00a366c1c0060e">BOOST_FIXTURE_TEST_CASE</a>(GetEmptyOutputs, GetEmptyInputsOutputsFixture)</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;{</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;    <a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.html#a503ae4f55dae1486e53978657083b35d">TfLiteParser::ModelPtr</a> model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());</div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;    TfLiteParser::TensorRawPtrVector tensors = TfLiteParser::GetOutputs(model, 0, 0);</div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;    BOOST_CHECK_EQUAL(0, tensors.size());</div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;}</div><div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;</div><div class="line"><a name="l00167"></a><span class="lineno"><a class="line" href="armnn_tf_lite_parser_2test_2_get_inputs_outputs_8cpp.html#a098c20531aa4520e3d89e302b4699cb7">  167</a></span>&#160;<a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.html#ae636b47986a5a3f38e00a366c1c0060e">BOOST_FIXTURE_TEST_CASE</a>(GetInputs, GetInputsOutputsFixture)</div><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;{</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;    <a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.html#a503ae4f55dae1486e53978657083b35d">TfLiteParser::ModelPtr</a> model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;    TfLiteParser::TensorRawPtrVector tensors = TfLiteParser::GetInputs(model, 0, 0);</div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;    BOOST_CHECK_EQUAL(1, tensors.size());</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;    CheckTensors(tensors[0], 4, { 1, 2, 2, 1 }, tflite::TensorType::TensorType_UINT8, 1,</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;                      <span class="stringliteral">&quot;InputTensor&quot;</span>, { -1.2f }, { 25.5f }, { 0.25f }, { 10 });</div><div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;}</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;</div><div class="line"><a name="l00176"></a><span class="lineno"><a class="line" href="armnn_tf_lite_parser_2test_2_get_inputs_outputs_8cpp.html#a1e76c0b0b048ec93fc449a3dce7a8200">  176</a></span>&#160;<a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.html#ae636b47986a5a3f38e00a366c1c0060e">BOOST_FIXTURE_TEST_CASE</a>(GetOutputs, GetInputsOutputsFixture)</div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;{</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;    <a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.html#a503ae4f55dae1486e53978657083b35d">TfLiteParser::ModelPtr</a> model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());</div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;    TfLiteParser::TensorRawPtrVector tensors = TfLiteParser::GetOutputs(model, 0, 0);</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;    BOOST_CHECK_EQUAL(1, tensors.size());</div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;    CheckTensors(tensors[0], 4, { 1, 1, 1, 1 }, tflite::TensorType::TensorType_UINT8, 0,</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;                      <span class="stringliteral">&quot;OutputTensor&quot;</span>, { 0.0f }, { 255.0f }, { 1.0f }, { 0 });</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;}</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;</div><div class="line"><a name="l00185"></a><span class="lineno"><a class="line" href="armnn_tf_lite_parser_2test_2_get_inputs_outputs_8cpp.html#a1c501913b832b10ff30b12053c586c46">  185</a></span>&#160;<a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.html#ae636b47986a5a3f38e00a366c1c0060e">BOOST_FIXTURE_TEST_CASE</a>(GetInputsMultipleInputs, GetInputsOutputsFixture)</div><div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;{</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;    <a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.html#a503ae4f55dae1486e53978657083b35d">TfLiteParser::ModelPtr</a> model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());</div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;    TfLiteParser::TensorRawPtrVector tensors = TfLiteParser::GetInputs(model, 1, 0);</div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;    BOOST_CHECK_EQUAL(2, tensors.size());</div><div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;    CheckTensors(tensors[0], 4, { 1, 3, 3, 1 }, tflite::TensorType::TensorType_UINT8, 0,</div><div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;                      <span class="stringliteral">&quot;ConvInputTensor&quot;</span>, { }, { }, { 1.0f }, { 0 });</div><div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;    CheckTensors(tensors[1], 4, { 1, 3, 3, 1 }, tflite::TensorType::TensorType_UINT8, 2,</div><div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;                      <span class="stringliteral">&quot;filterTensor&quot;</span>, { 0.0f }, { 255.0f }, { 1.0f }, { 0 });</div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;}</div><div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;</div><div class="line"><a name="l00196"></a><span class="lineno"><a class="line" href="armnn_tf_lite_parser_2test_2_get_inputs_outputs_8cpp.html#acc9175ff0d037236039f6de903412153">  196</a></span>&#160;<a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.html#ae636b47986a5a3f38e00a366c1c0060e">BOOST_FIXTURE_TEST_CASE</a>(GetOutputs2, GetInputsOutputsFixture)</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;{</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;    <a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.html#a503ae4f55dae1486e53978657083b35d">TfLiteParser::ModelPtr</a> model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());</div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;    TfLiteParser::TensorRawPtrVector tensors = TfLiteParser::GetOutputs(model, 1, 0);</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;    BOOST_CHECK_EQUAL(1, tensors.size());</div><div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;    CheckTensors(tensors[0], 4, { 1, 1, 1, 1 }, tflite::TensorType::TensorType_UINT8, 1,</div><div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;                      <span class="stringliteral">&quot;ConvOutputTensor&quot;</span>, { 0.0f }, { 511.0f }, { 2.0f }, { 0 });</div><div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;}</div><div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;</div><div class="line"><a name="l00205"></a><span class="lineno"><a class="line" href="armnn_tf_lite_parser_2test_2_get_inputs_outputs_8cpp.html#afef83a0459066ae76b0cd1ec5ae29687">  205</a></span>&#160;<a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.html#afef83a0459066ae76b0cd1ec5ae29687">BOOST_AUTO_TEST_CASE</a>(GetInputsNullModel)</div><div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;{</div><div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;    BOOST_CHECK_THROW(TfLiteParser::GetInputs(<span class="keyword">nullptr</span>, 0, 0), <a class="code" href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a>);</div><div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;}</div><div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;</div><div class="line"><a name="l00210"></a><span class="lineno"><a class="line" href="armnn_tf_lite_parser_2test_2_get_inputs_outputs_8cpp.html#ace561296442c03f91bc6ddea34e4265a">  210</a></span>&#160;<a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.html#afef83a0459066ae76b0cd1ec5ae29687">BOOST_AUTO_TEST_CASE</a>(GetOutputsNullModel)</div><div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;{</div><div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;    BOOST_CHECK_THROW(TfLiteParser::GetOutputs(<span class="keyword">nullptr</span>, 0, 0), <a class="code" href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a>);</div><div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;}</div><div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;</div><div class="line"><a name="l00215"></a><span class="lineno"><a class="line" href="armnn_tf_lite_parser_2test_2_get_inputs_outputs_8cpp.html#a5efb75e14733af13b8db287c346cbbb3">  215</a></span>&#160;<a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.html#ae636b47986a5a3f38e00a366c1c0060e">BOOST_FIXTURE_TEST_CASE</a>(GetInputsInvalidSubgraph, GetInputsOutputsFixture)</div><div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;{</div><div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;    <a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.html#a503ae4f55dae1486e53978657083b35d">TfLiteParser::ModelPtr</a> model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());</div><div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;    BOOST_CHECK_THROW(TfLiteParser::GetInputs(model, 2, 0), <a class="code" href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a>);</div><div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;}</div><div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;</div><div class="line"><a name="l00221"></a><span class="lineno"><a class="line" href="armnn_tf_lite_parser_2test_2_get_inputs_outputs_8cpp.html#a702114bf6f59f0b397a5dc26383b6f6d">  221</a></span>&#160;<a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.html#ae636b47986a5a3f38e00a366c1c0060e">BOOST_FIXTURE_TEST_CASE</a>(GetOutputsInvalidSubgraph, GetInputsOutputsFixture)</div><div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;{</div><div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;    <a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.html#a503ae4f55dae1486e53978657083b35d">TfLiteParser::ModelPtr</a> model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());</div><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;    BOOST_CHECK_THROW(TfLiteParser::GetOutputs(model, 2, 0), <a class="code" href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a>);</div><div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;}</div><div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;</div><div class="line"><a name="l00227"></a><span class="lineno"><a class="line" href="armnn_tf_lite_parser_2test_2_get_inputs_outputs_8cpp.html#afe09776bdc4df4e737426d904f4559bb">  227</a></span>&#160;<a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.html#ae636b47986a5a3f38e00a366c1c0060e">BOOST_FIXTURE_TEST_CASE</a>(GetInputsInvalidOperator, GetInputsOutputsFixture)</div><div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;{</div><div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;    <a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.html#a503ae4f55dae1486e53978657083b35d">TfLiteParser::ModelPtr</a> model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());</div><div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;    BOOST_CHECK_THROW(TfLiteParser::GetInputs(model, 0, 1), <a class="code" href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a>);</div><div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;}</div><div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;</div><div class="line"><a name="l00233"></a><span class="lineno"><a class="line" href="armnn_tf_lite_parser_2test_2_get_inputs_outputs_8cpp.html#a5f5ca0db2c69d69ace0a82fb6210d2e0">  233</a></span>&#160;<a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.html#ae636b47986a5a3f38e00a366c1c0060e">BOOST_FIXTURE_TEST_CASE</a>(GetOutputsInvalidOperator, GetInputsOutputsFixture)</div><div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;{</div><div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;    <a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.html#a503ae4f55dae1486e53978657083b35d">TfLiteParser::ModelPtr</a> model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());</div><div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;    BOOST_CHECK_THROW(TfLiteParser::GetOutputs(model, 0, 1), <a class="code" href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a>);</div><div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;}</div><div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;</div><div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;<a class="code" href="_profiler_tests_8cpp.html#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a>()</div><div class="ttc" id="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp_html_a503ae4f55dae1486e53978657083b35d"><div class="ttname"><a href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.html#a503ae4f55dae1486e53978657083b35d">ModelPtr</a></div><div class="ttdeci">std::unique_ptr&lt; onnx::ModelProto &gt; ModelPtr</div><div class="ttdef"><b>Definition:</b> <a href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp_source.html#l00012">GetInputsOutputs.cpp:12</a></div></div>
+<div class="ttc" id="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp_html_ae636b47986a5a3f38e00a366c1c0060e"><div class="ttname"><a href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.html#ae636b47986a5a3f38e00a366c1c0060e">BOOST_FIXTURE_TEST_CASE</a></div><div class="ttdeci">BOOST_FIXTURE_TEST_CASE(GetInput, GetInputsOutputsMainFixture)</div><div class="ttdef"><b>Definition:</b> <a href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp_source.html#l00069">GetInputsOutputs.cpp:69</a></div></div>
+<div class="ttc" id="struct_parser_flatbuffers_fixture_html"><div class="ttname"><a href="struct_parser_flatbuffers_fixture.html">ParserFlatbuffersFixture</a></div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_fixture_8hpp_source.html#l00037">ParserFlatbuffersFixture.hpp:37</a></div></div>
+<div class="ttc" id="classarmnn_1_1_parse_exception_html"><div class="ttname"><a href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00092">Exceptions.hpp:92</a></div></div>
+<div class="ttc" id="classarmnn_tf_lite_parser_1_1_tf_lite_parser_html"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.html">armnnTfLiteParser::TfLiteParser</a></div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8hpp_source.html#l00019">TfLiteParser.hpp:19</a></div></div>
+<div class="ttc" id="_profiler_tests_8cpp_html_af7f71af5c6c124222dd1c42c5df892f4"><div class="ttname"><a href="_profiler_tests_8cpp.html#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a></div><div class="ttdeci">BOOST_AUTO_TEST_SUITE_END()</div></div>
+<div class="ttc" id="_parser_flatbuffers_fixture_8hpp_html"><div class="ttname"><a href="_parser_flatbuffers_fixture_8hpp.html">ParserFlatbuffersFixture.hpp</a></div></div>
+<div class="ttc" id="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp_html_afef83a0459066ae76b0cd1ec5ae29687"><div class="ttname"><a href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.html#afef83a0459066ae76b0cd1ec5ae29687">BOOST_AUTO_TEST_CASE</a></div><div class="ttdeci">BOOST_AUTO_TEST_CASE(GetInputsNullModel)</div><div class="ttdef"><b>Definition:</b> <a href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp_source.html#l00147">GetInputsOutputs.cpp:147</a></div></div>
+<div class="ttc" id="_output_shape_of_squeeze_8cpp_html_ae3a6cb217a792718f2bd0e8f45e3ca9e"><div class="ttname"><a href="_output_shape_of_squeeze_8cpp.html#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a></div><div class="ttdeci">BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)</div></div>
+<div class="ttc" id="struct_parser_flatbuffers_fixture_html_a69fc8e7f42386fa67732cb8c98d8b024"><div class="ttname"><a href="struct_parser_flatbuffers_fixture.html#a69fc8e7f42386fa67732cb8c98d8b024">ParserFlatbuffersFixture::ReadStringToBinary</a></div><div class="ttdeci">bool ReadStringToBinary()</div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_fixture_8hpp_source.html#l00102">ParserFlatbuffersFixture.hpp:102</a></div></div>
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