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<div class="title">GetSubgraphInputsOutputs.cpp</div> </div>
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<a href="_get_subgraph_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="_get_subgraph_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="_get_subgraph_inputs_outputs_8cpp.html#ab8262a23f76732432e30196fa09a5d4d">TfLiteParser::ModelPtr</a>;</div><div class="line"><a name="l00011"></a><span class="lineno"><a class="line" href="_get_subgraph_inputs_outputs_8cpp.html#a18208ff9ca4d7b590527411427ac286c"> 11</a></span>&#160;<span class="keyword">using</span> <a class="code" href="_parser_flatbuffers_serialize_fixture_8hpp.html#a15c20a0693cd3fc4d85565e2f920d8ef">TensorRawPtr</a> = <a class="code" href="_get_subgraph_inputs_outputs_8cpp.html#a18208ff9ca4d7b590527411427ac286c">TfLiteParser::TensorRawPtr</a>;</div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</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="l00014"></a><span class="lineno"> 14</span>&#160;</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="keyword">struct </span>GetSubgraphInputsOutputsMainFixture : <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>&#160;{</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160; <span class="keyword">explicit</span> GetSubgraphInputsOutputsMainFixture(<span class="keyword">const</span> std::string&amp; inputs, <span class="keyword">const</span> std::string&amp; outputs)</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160; {</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160; m_JsonString = R<span class="stringliteral">&quot;(</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="stringliteral"> {</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="stringliteral"> &quot;version&quot;: 3,</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</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="l00023"></a><span class="lineno"> 23</span>&#160;<span class="stringliteral"> &quot;subgraphs&quot;: [</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="stringliteral"> {</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<span class="stringliteral"> &quot;tensors&quot;: [</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;<span class="stringliteral"> {</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="stringliteral"> &quot;shape&quot;: [ 1, 1, 1, 1 ] ,</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="stringliteral"> &quot;type&quot;: &quot;UINT8&quot;,</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="stringliteral"> &quot;buffer&quot;: 0,</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;<span class="stringliteral"> &quot;name&quot;: &quot;OutputTensor&quot;,</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="stringliteral"> &quot;quantization&quot;: {</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="stringliteral"> &quot;min&quot;: [ 0.0 ],</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;<span class="stringliteral"> &quot;max&quot;: [ 255.0 ],</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="stringliteral"> &quot;scale&quot;: [ 1.0 ],</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;<span class="stringliteral"> &quot;zero_point&quot;: [ 0 ]</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"> {</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;<span class="stringliteral"> &quot;shape&quot;: [ 1, 2, 2, 1 ] ,</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;<span class="stringliteral"> &quot;type&quot;: &quot;UINT8&quot;,</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;<span class="stringliteral"> &quot;buffer&quot;: 1,</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;<span class="stringliteral"> &quot;name&quot;: &quot;InputTensor&quot;,</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;<span class="stringliteral"> &quot;quantization&quot;: {</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;<span class="stringliteral"> &quot;min&quot;: [ -1.2 ],</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160;<span class="stringliteral"> &quot;max&quot;: [ 25.5 ],</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;<span class="stringliteral"> &quot;scale&quot;: [ 0.25 ],</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;<span class="stringliteral"> &quot;zero_point&quot;: [ 10 ]</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;<span class="stringliteral"> }</span></div><div class="line"><a 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"> ],</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;<span class="stringliteral"> &quot;inputs&quot;: )&quot;</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;<span class="stringliteral"> + inputs</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;<span class="stringliteral"> + R</span><span class="stringliteral">&quot;(,</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;<span class="stringliteral"> &quot;outputs&quot;: )&quot;</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;<span class="stringliteral"> + outputs</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;operators&quot;: [ {</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;<span class="stringliteral"> &quot;opcode_index&quot;: 0,</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;<span class="stringliteral"> &quot;inputs&quot;: [ 1 ],</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;<span class="stringliteral"> &quot;outputs&quot;: [ 0 ],</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;<span class="stringliteral"> &quot;builtin_options_type&quot;: &quot;Pool2DOptions&quot;,</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;<span class="stringliteral"> &quot;builtin_options&quot;:</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;<span class="stringliteral"> {</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;<span class="stringliteral"> &quot;padding&quot;: &quot;VALID&quot;,</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;<span class="stringliteral"> &quot;stride_w&quot;: 2,</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160;<span class="stringliteral"> &quot;stride_h&quot;: 2,</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;<span class="stringliteral"> &quot;filter_width&quot;: 2,</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;<span class="stringliteral"> &quot;filter_height&quot;: 2,</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;<span class="stringliteral"> &quot;fused_activation_function&quot;: &quot;NONE&quot;</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;<span class="stringliteral"> },</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160;<span class="stringliteral"> &quot;custom_options_format&quot;: &quot;FLEXBUFFERS&quot;</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"> {</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;<span class="stringliteral"> &quot;tensors&quot;: [</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;<span class="stringliteral"> {</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160;<span class="stringliteral"> &quot;shape&quot;: [ 1, 3, 3, 1 ],</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;<span class="stringliteral"> &quot;type&quot;: &quot;UINT8&quot;,</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;<span class="stringliteral"> &quot;buffer&quot;: 0,</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160;<span class="stringliteral"> &quot;name&quot;: &quot;ConvInputTensor&quot;,</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160;<span class="stringliteral"> &quot;quantization&quot;: {</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;<span class="stringliteral"> &quot;scale&quot;: [ 1.0 ],</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;<span class="stringliteral"> &quot;zero_point&quot;: [ 0 ],</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;<span class="stringliteral"> }</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;<span class="stringliteral"> },</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160;<span class="stringliteral"> {</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160;<span class="stringliteral"> &quot;shape&quot;: [ 1, 1, 1, 1 ],</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;<span class="stringliteral"> &quot;type&quot;: &quot;UINT8&quot;,</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160;<span class="stringliteral"> &quot;buffer&quot;: 1,</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160;<span class="stringliteral"> &quot;name&quot;: &quot;ConvOutputTensor&quot;,</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;<span class="stringliteral"> &quot;quantization&quot;: {</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160;<span class="stringliteral"> &quot;min&quot;: [ 0.0 ],</span></div><div class="line"><a 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100</span>&#160;<span class="stringliteral"> &quot;type&quot;: &quot;UINT8&quot;,</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160;<span class="stringliteral"> &quot;buffer&quot;: 2,</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160;<span class="stringliteral"> &quot;name&quot;: &quot;filterTensor&quot;,</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160;<span class="stringliteral"> &quot;quantization&quot;: {</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160;<span class="stringliteral"> &quot;min&quot;: [ 0.0 ],</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160;<span class="stringliteral"> &quot;max&quot;: [ 255.0 ],</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160;<span class="stringliteral"> &quot;scale&quot;: [ 1.0 ],</span></div><div class="line"><a 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114</span>&#160;<span class="stringliteral"> {</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160;<span class="stringliteral"> &quot;opcode_index&quot;: 0,</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160;<span class="stringliteral"> &quot;inputs&quot;: [ 0, 2 ],</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160;<span class="stringliteral"> &quot;outputs&quot;: [ 1 ],</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160;<span class="stringliteral"> &quot;builtin_options_type&quot;: &quot;Conv2DOptions&quot;,</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160;<span class="stringliteral"> &quot;builtin_options&quot;: {</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160;<span class="stringliteral"> &quot;padding&quot;: &quot;VALID&quot;,</span></div><div 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href="_get_subgraph_inputs_outputs_8cpp.html#a9680b254ccdab1cce2304c7b07afee43"> 161</a></span>&#160;<a class="code" href="_get_subgraph_inputs_outputs_8cpp.html#a742e7359d9eaa6561681a2c6cbc594d9">BOOST_FIXTURE_TEST_CASE</a>(GetEmptySubgraphOutputs, GetEmptySubgraphInputsOutputsFixture)</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160;{</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; <a class="code" href="_get_subgraph_inputs_outputs_8cpp.html#ab8262a23f76732432e30196fa09a5d4d">TfLiteParser::ModelPtr</a> model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; TfLiteParser::TensorIdRawPtrVector subgraphTensors = TfLiteParser::GetSubgraphOutputs(model, 0);</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; BOOST_CHECK_EQUAL(0, subgraphTensors.size());</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"> 167</span>&#160;</div><div class="line"><a name="l00168"></a><span class="lineno"><a class="line" href="_get_subgraph_inputs_outputs_8cpp.html#a98b43cc876cba9c65264d86e76b1a87c"> 168</a></span>&#160;<a class="code" href="_get_subgraph_inputs_outputs_8cpp.html#a742e7359d9eaa6561681a2c6cbc594d9">BOOST_FIXTURE_TEST_CASE</a>(GetSubgraphInputs, GetSubgraphInputsOutputsFixture)</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160;{</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; <a class="code" href="_get_subgraph_inputs_outputs_8cpp.html#ab8262a23f76732432e30196fa09a5d4d">TfLiteParser::ModelPtr</a> model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; TfLiteParser::TensorIdRawPtrVector subgraphTensors = TfLiteParser::GetSubgraphInputs(model, 0);</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; BOOST_CHECK_EQUAL(1, subgraphTensors.size());</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; BOOST_CHECK_EQUAL(1, subgraphTensors[0].first);</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; CheckTensors(subgraphTensors[0].second, 4, { 1, 2, 2, 1 }, tflite::TensorType::TensorType_UINT8, 1,</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; <span class="stringliteral">&quot;InputTensor&quot;</span>, { -1.2f }, { 25.5f }, { 0.25f }, { 10 });</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160;}</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"><a class="line" href="_get_subgraph_inputs_outputs_8cpp.html#a5f0942d33c99e4d5c6f84b329be6202e"> 178</a></span>&#160;<a class="code" href="_get_subgraph_inputs_outputs_8cpp.html#a742e7359d9eaa6561681a2c6cbc594d9">BOOST_FIXTURE_TEST_CASE</a>(GetSubgraphOutputsSimpleQuantized, GetSubgraphInputsOutputsFixture)</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160;{</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; <a class="code" href="_get_subgraph_inputs_outputs_8cpp.html#ab8262a23f76732432e30196fa09a5d4d">TfLiteParser::ModelPtr</a> model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; TfLiteParser::TensorIdRawPtrVector subgraphTensors = TfLiteParser::GetSubgraphOutputs(model, 0);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; BOOST_CHECK_EQUAL(1, subgraphTensors.size());</div><div 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GetSubgraphInputsOutputsFixture)</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160;{</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; <a class="code" href="_get_subgraph_inputs_outputs_8cpp.html#ab8262a23f76732432e30196fa09a5d4d">TfLiteParser::ModelPtr</a> model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; TfLiteParser::TensorIdRawPtrVector subgraphTensors = TfLiteParser::GetSubgraphInputs(model, 1);</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; BOOST_CHECK_EQUAL(1, subgraphTensors.size());</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; BOOST_CHECK_EQUAL(0, subgraphTensors[0].first);</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; CheckTensors(subgraphTensors[0].second, 4, { 1, 3, 3, 1 }, 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href="_get_subgraph_inputs_outputs_8cpp.html#ab8262a23f76732432e30196fa09a5d4d">TfLiteParser::ModelPtr</a> model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; TfLiteParser::TensorIdRawPtrVector subgraphTensors = TfLiteParser::GetSubgraphOutputs(model, 1);</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; BOOST_CHECK_EQUAL(1, subgraphTensors.size());</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; BOOST_CHECK_EQUAL(1, subgraphTensors[0].first);</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; CheckTensors(subgraphTensors[0].second, 4, { 1, 1, 1, 1 }, tflite::TensorType::TensorType_UINT8, 1,</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; <span class="stringliteral">&quot;ConvOutputTensor&quot;</span>, { 0.0f }, { 511.0f }, { 2.0f }, { 0 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212</span>&#160;</div><div class="line"><a name="l00213"></a><span class="lineno"><a class="line" href="_get_subgraph_inputs_outputs_8cpp.html#a7304f335c203cc928c03f611da283078"> 213</a></span>&#160;<a class="code" href="_get_subgraph_inputs_outputs_8cpp.html#af38468442423eba2b603a187582e697f">BOOST_AUTO_TEST_CASE</a>(GetSubgraphOutputsNullModel)</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"> 215</span>&#160; BOOST_CHECK_THROW(TfLiteParser::GetSubgraphOutputs(<span class="keyword">nullptr</span>, 0), <a class="code" href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a>);</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;</div><div class="line"><a name="l00218"></a><span class="lineno"><a class="line" href="_get_subgraph_inputs_outputs_8cpp.html#a968b347d4378e434bcca58995aff34dc"> 218</a></span>&#160;<a class="code" href="_get_subgraph_inputs_outputs_8cpp.html#a742e7359d9eaa6561681a2c6cbc594d9">BOOST_FIXTURE_TEST_CASE</a>(GetSubgraphInputsInvalidSubgraph, GetSubgraphInputsOutputsFixture)</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; <a class="code" href="_get_subgraph_inputs_outputs_8cpp.html#ab8262a23f76732432e30196fa09a5d4d">TfLiteParser::ModelPtr</a> model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; BOOST_CHECK_THROW(TfLiteParser::GetSubgraphInputs(model, 2), <a class="code" href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a>);</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160;}</div><div 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<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="_get_subgraph_inputs_outputs_8cpp_html_ab8262a23f76732432e30196fa09a5d4d"><div class="ttname"><a href="_get_subgraph_inputs_outputs_8cpp.html#ab8262a23f76732432e30196fa09a5d4d">ModelPtr</a></div><div class="ttdeci">TfLiteParser::ModelPtr ModelPtr</div><div class="ttdef"><b>Definition:</b> <a href="_get_subgraph_inputs_outputs_8cpp_source.html#l00010">GetSubgraphInputsOutputs.cpp:10</a></div></div>
<div class="ttc" id="_get_subgraph_inputs_outputs_8cpp_html_af38468442423eba2b603a187582e697f"><div class="ttname"><a href="_get_subgraph_inputs_outputs_8cpp.html#af38468442423eba2b603a187582e697f">BOOST_AUTO_TEST_CASE</a></div><div class="ttdeci">BOOST_AUTO_TEST_CASE(GetSubgraphInputsNullModel)</div><div class="ttdef"><b>Definition:</b> <a href="_get_subgraph_inputs_outputs_8cpp_source.html#l00208">GetSubgraphInputsOutputs.cpp:208</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="_get_subgraph_inputs_outputs_8cpp_html_a18208ff9ca4d7b590527411427ac286c"><div class="ttname"><a href="_get_subgraph_inputs_outputs_8cpp.html#a18208ff9ca4d7b590527411427ac286c">TensorRawPtr</a></div><div class="ttdeci">TfLiteParser::TensorRawPtr TensorRawPtr</div><div class="ttdef"><b>Definition:</b> <a href="_get_subgraph_inputs_outputs_8cpp_source.html#l00011">GetSubgraphInputsOutputs.cpp:11</a></div></div>
<div class="ttc" id="_parser_flatbuffers_serialize_fixture_8hpp_html_a15c20a0693cd3fc4d85565e2f920d8ef"><div class="ttname"><a href="_parser_flatbuffers_serialize_fixture_8hpp.html#a15c20a0693cd3fc4d85565e2f920d8ef">TensorRawPtr</a></div><div class="ttdeci">armnnSerializer::TensorInfo * TensorRawPtr</div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_serialize_fixture_8hpp_source.html#l00026">ParserFlatbuffersSerializeFixture.hpp:26</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="_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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