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<div class="title">GetInputsOutputs.cpp</div> </div>
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<a href="armnn_onnx_parser_2test_2_get_inputs_outputs_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> <span class="preprocessor">#include <boost/test/unit_test.hpp></span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "../OnnxParser.hpp"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_parser_prototxt_fixture_8hpp.xhtml">ParserPrototxtFixture.hpp</a>"</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <onnx/onnx.pb.h></span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include "google/protobuf/stubs/logging.h"</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> </div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> </div><div class="line"><a name="l00012"></a><span class="lineno"><a class="line" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.xhtml#a503ae4f55dae1486e53978657083b35d"> 12</a></span> <span class="keyword">using</span> <a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.xhtml#a503ae4f55dae1486e53978657083b35d">ModelPtr</a> = std::unique_ptr<onnx::ModelProto>;</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> </div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <a class="code" href="_output_shape_of_squeeze_8cpp.xhtml#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a>(OnnxParser)</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> </div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="keyword">struct </span>GetInputsOutputsMainFixture : <span class="keyword">public</span> <a class="code" href="structarmnn_utils_1_1_parser_prototxt_fixture.xhtml">armnnUtils::ParserPrototxtFixture</a><armnnOnnxParser::IOnnxParser></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> {</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  <span class="keyword">explicit</span> GetInputsOutputsMainFixture()</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  {</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  m_Prototext = R<span class="stringliteral">"(</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="stringliteral"> ir_version: 3</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="stringliteral"> producer_name: "CNTK"</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="stringliteral"> producer_version: "2.5.1"</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="stringliteral"> domain: "ai.cntk"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="stringliteral"> model_version: 1</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="stringliteral"> graph {</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="stringliteral"> name: "CNTKGraph"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="stringliteral"> input {</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="stringliteral"> name: "Input"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="stringliteral"> type {</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="stringliteral"> tensor_type {</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="stringliteral"> elem_type: 1</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="stringliteral"> shape {</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="stringliteral"> dim {</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="stringliteral"> dim_value: 4</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="stringliteral"> node {</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="stringliteral"> input: "Input"</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="stringliteral"> output: "Output"</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="stringliteral"> name: "ActivationLayer"</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="stringliteral"> op_type: "Relu"</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="stringliteral"> output {</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="stringliteral"> name: "Output"</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="stringliteral"> type {</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="stringliteral"> tensor_type {</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="stringliteral"> elem_type: 1</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="stringliteral"> shape {</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="stringliteral"> dim {</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="stringliteral"> dim_value: 4</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"> }</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="stringliteral"> opset_import {</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="stringliteral"> version: 7</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="stringliteral"> })";</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="stringliteral"> <a class="code" href="structarmnn_utils_1_1_parser_prototxt_fixture.xhtml#a769404f2985a027a0d626fedfd4de1e9">Setup</a>();</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="stringliteral">};</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="stringliteral"></span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="stringliteral"></span></div><div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.xhtml#ae636b47986a5a3f38e00a366c1c0060e"> 69</a></span> <span class="stringliteral"><a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.xhtml#ae636b47986a5a3f38e00a366c1c0060e">BOOST_FIXTURE_TEST_CASE</a>(GetInput, GetInputsOutputsMainFixture)</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="stringliteral">{</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="stringliteral"> <a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.xhtml#a503ae4f55dae1486e53978657083b35d">ModelPtr</a> model = <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.xhtml#a181f87cf45fdc9f040a41c985ce7f8cd">armnnOnnxParser::OnnxParserImpl::LoadModelFromString</a>(m_Prototext.c_str());</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="stringliteral"> std::vector<std::string> tensors = <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.xhtml#a7cf8b801043e1eccd5e6db1325eaa4fe">armnnOnnxParser::OnnxParserImpl::GetInputs</a>(model);</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="stringliteral"> BOOST_CHECK_EQUAL(1, tensors.size());</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="stringliteral"> BOOST_CHECK_EQUAL(</span><span class="stringliteral">"Input"</span>, tensors[0]);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> }</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div><div class="line"><a name="l00078"></a><span class="lineno"><a class="line" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.xhtml#add7b31c2675f4f104677ca578c5f4bfc"> 78</a></span> <a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.xhtml#ae636b47986a5a3f38e00a366c1c0060e">BOOST_FIXTURE_TEST_CASE</a>(GetOutput, GetInputsOutputsMainFixture)</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> {</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.xhtml#a503ae4f55dae1486e53978657083b35d">ModelPtr</a> model = <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.xhtml#a181f87cf45fdc9f040a41c985ce7f8cd">armnnOnnxParser::OnnxParserImpl::LoadModelFromString</a>(m_Prototext.c_str());</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  std::vector<std::string> tensors = <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.xhtml#ad116319e33228bc23ec505887d3eee4d">armnnOnnxParser::OnnxParserImpl::GetOutputs</a>(model);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  BOOST_CHECK_EQUAL(1, tensors.size());</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  BOOST_CHECK_EQUAL(<span class="stringliteral">"Output"</span>, tensors[0]);</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"> 86</span> <span class="keyword">struct </span>GetEmptyInputsOutputsFixture : <span class="keyword">public</span> <a class="code" href="structarmnn_utils_1_1_parser_prototxt_fixture.xhtml">armnnUtils::ParserPrototxtFixture</a><armnnOnnxParser::IOnnxParser></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>  GetEmptyInputsOutputsFixture()</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  {</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  m_Prototext = R<span class="stringliteral">"(</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="stringliteral"> ir_version: 3</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="stringliteral"> producer_name: "CNTK "</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="stringliteral"> producer_version: "2.5.1 "</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="stringliteral"> domain: "ai.cntk "</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="stringliteral"> model_version: 1</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="stringliteral"> graph {</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="stringliteral"> name: "CNTKGraph "</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="stringliteral"> node {</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="stringliteral"> output: "Output"</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="stringliteral"> attribute {</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="stringliteral"> name: "value"</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="stringliteral"> t {</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="stringliteral"> dims: 7</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="stringliteral"> data_type: 1</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="stringliteral"> float_data: 0.0</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="stringliteral"> float_data: 1.0</span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="stringliteral"> float_data: 2.0</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="stringliteral"> float_data: 3.0</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="stringliteral"> float_data: 4.0</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="stringliteral"> float_data: 5.0</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="stringliteral"> float_data: 6.0</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> <span class="stringliteral"></span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> <span class="stringliteral"> type: 1</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> <span class="stringliteral"> name: "constantNode"</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="stringliteral"> op_type: "Constant"</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="stringliteral"> output {</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> <span class="stringliteral"> name: "Output"</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> <span class="stringliteral"> type {</span></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> <span class="stringliteral"> tensor_type {</span></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> <span class="stringliteral"> elem_type: 1</span></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> <span class="stringliteral"> shape {</span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> <span class="stringliteral"> dim {</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> <span class="stringliteral"> dim_value: 7</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> <span class="stringliteral"> opset_import {</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <span class="stringliteral"> version: 7</span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> <span class="stringliteral"> })";</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> <span class="stringliteral"> Setup();</span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> <span class="stringliteral">};</span></div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> <span class="stringliteral"></span></div><div class="line"><a name="l00140"></a><span class="lineno"><a class="line" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.xhtml#a335c7484ecd7511ded76bacd7a5ae10e"> 140</a></span> <span class="stringliteral"><a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.xhtml#ae636b47986a5a3f38e00a366c1c0060e">BOOST_FIXTURE_TEST_CASE</a>(GetEmptyInputs, GetEmptyInputsOutputsFixture)</span></div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> <span class="stringliteral">{</span></div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> <span class="stringliteral"> <a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.xhtml#a503ae4f55dae1486e53978657083b35d">ModelPtr</a> model = <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.xhtml#a181f87cf45fdc9f040a41c985ce7f8cd">armnnOnnxParser::OnnxParserImpl::LoadModelFromString</a>(m_Prototext.c_str());</span></div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> <span class="stringliteral"> std::vector<std::string> tensors = <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.xhtml#a7cf8b801043e1eccd5e6db1325eaa4fe">armnnOnnxParser::OnnxParserImpl::GetInputs</a>(model);</span></div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> <span class="stringliteral"> BOOST_CHECK_EQUAL(0, tensors.size());</span></div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> <span class="stringliteral">}</span></div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> <span class="stringliteral"></span></div><div class="line"><a name="l00147"></a><span class="lineno"><a class="line" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.xhtml#afef83a0459066ae76b0cd1ec5ae29687"> 147</a></span> <span class="stringliteral"><a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.xhtml#afef83a0459066ae76b0cd1ec5ae29687">BOOST_AUTO_TEST_CASE</a>(GetInputsNullModel)</span></div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> <span class="stringliteral">{</span></div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> <span class="stringliteral"> BOOST_CHECK_THROW(<a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.xhtml#a181f87cf45fdc9f040a41c985ce7f8cd">armnnOnnxParser::OnnxParserImpl::LoadModelFromString</a>(</span><span class="stringliteral">""</span>), <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>);</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> }</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> </div><div class="line"><a name="l00152"></a><span class="lineno"><a class="line" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.xhtml#ace561296442c03f91bc6ddea34e4265a"> 152</a></span> <a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.xhtml#afef83a0459066ae76b0cd1ec5ae29687">BOOST_AUTO_TEST_CASE</a>(GetOutputsNullModel)</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> {</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keyword">auto</span> silencer = google::protobuf::LogSilencer(); <span class="comment">//get rid of errors from protobuf</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  BOOST_CHECK_THROW(<a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.xhtml#a181f87cf45fdc9f040a41c985ce7f8cd">armnnOnnxParser::OnnxParserImpl::LoadModelFromString</a>(<span class="stringliteral">"nknnk"</span>), <a class="code" href="classarmnn_1_1_parse_exception.xhtml">armnn::ParseException</a>);</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> }</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> </div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> <span class="keyword">struct </span>GetInputsMultipleFixture : <span class="keyword">public</span> <a class="code" href="structarmnn_utils_1_1_parser_prototxt_fixture.xhtml">armnnUtils::ParserPrototxtFixture</a><armnnOnnxParser::IOnnxParser></div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> {</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  GetInputsMultipleFixture() {</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> </div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  m_Prototext = R<span class="stringliteral">"(</span></div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> <span class="stringliteral"> ir_version: 3</span></div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> <span class="stringliteral"> producer_name: "CNTK"</span></div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> <span class="stringliteral"> producer_version: "2.5.1"</span></div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> <span class="stringliteral"> domain: "ai.cntk"</span></div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> <span class="stringliteral"> model_version: 1</span></div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> <span class="stringliteral"> graph {</span></div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> <span class="stringliteral"> name: "CNTKGraph"</span></div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> <span class="stringliteral"> input {</span></div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> <span class="stringliteral"> name: "Input0"</span></div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> <span class="stringliteral"> type {</span></div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> <span class="stringliteral"> tensor_type {</span></div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> <span class="stringliteral"> elem_type: 1</span></div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> <span class="stringliteral"> shape {</span></div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> <span class="stringliteral"> dim {</span></div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> <span class="stringliteral"> dim_value: 1</span></div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> <span class="stringliteral"> dim {</span></div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> <span class="stringliteral"> dim_value: 1</span></div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> <span class="stringliteral"> dim {</span></div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> <span class="stringliteral"> dim_value: 1</span></div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> <span class="stringliteral"> dim {</span></div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> <span class="stringliteral"> dim_value: 4</span></div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> <span class="stringliteral"> input {</span></div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span> <span class="stringliteral"> name: "Input1"</span></div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> <span class="stringliteral"> type {</span></div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> <span class="stringliteral"> tensor_type {</span></div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> <span class="stringliteral"> elem_type: 1</span></div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> <span class="stringliteral"> shape {</span></div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> <span class="stringliteral"> dim {</span></div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> <span class="stringliteral"> dim_value: 4</span></div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> <span class="stringliteral"> node {</span></div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> <span class="stringliteral"> input: "Input0"</span></div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span> <span class="stringliteral"> input: "Input1"</span></div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> <span class="stringliteral"> output: "Output"</span></div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> <span class="stringliteral"> name: "addition"</span></div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> <span class="stringliteral"> op_type: "Add"</span></div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span> <span class="stringliteral"> doc_string: ""</span></div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> <span class="stringliteral"> domain: ""</span></div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> <span class="stringliteral"> output {</span></div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> <span class="stringliteral"> name: "Output"</span></div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> <span class="stringliteral"> type {</span></div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> <span class="stringliteral"> tensor_type {</span></div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> <span class="stringliteral"> elem_type: 1</span></div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> <span class="stringliteral"> shape {</span></div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> <span class="stringliteral"> dim {</span></div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> <span class="stringliteral"> dim_value: 1</span></div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> <span class="stringliteral"> dim {</span></div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> <span class="stringliteral"> dim_value: 1</span></div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> <span class="stringliteral"> dim {</span></div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span> <span class="stringliteral"> dim_value: 1</span></div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span> <span class="stringliteral"> dim {</span></div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> <span class="stringliteral"> dim_value: 4</span></div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span> <span class="stringliteral"> opset_import {</span></div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span> <span class="stringliteral"> version: 7</span></div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> <span class="stringliteral"> })";</span></div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span> <span class="stringliteral"> Setup();</span></div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span> <span class="stringliteral">};</span></div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span> <span class="stringliteral"></span></div><div class="line"><a name="l00244"></a><span class="lineno"><a class="line" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.xhtml#a041caac5ba3742833a40ae1502e46053"> 244</a></span> <span class="stringliteral"><a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.xhtml#ae636b47986a5a3f38e00a366c1c0060e">BOOST_FIXTURE_TEST_CASE</a>(GetInputsMultipleInputs, GetInputsMultipleFixture)</span></div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span> <span class="stringliteral">{</span></div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span> <span class="stringliteral"> <a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.xhtml#a503ae4f55dae1486e53978657083b35d">ModelPtr</a> model = <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.xhtml#a181f87cf45fdc9f040a41c985ce7f8cd">armnnOnnxParser::OnnxParserImpl::LoadModelFromString</a>(m_Prototext.c_str());</span></div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span> <span class="stringliteral"> std::vector<std::string> tensors = <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.xhtml#a7cf8b801043e1eccd5e6db1325eaa4fe">armnnOnnxParser::OnnxParserImpl::GetInputs</a>(model);</span></div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span> <span class="stringliteral"> BOOST_CHECK_EQUAL(2, tensors.size());</span></div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> <span class="stringliteral"> BOOST_CHECK_EQUAL(</span><span class="stringliteral">"Input0"</span>, tensors[0]);</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  BOOST_CHECK_EQUAL(<span class="stringliteral">"Input1"</span>, tensors[1]);</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> }</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span> </div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span> </div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span> </div><div class="line"><a name="l00255"></a><span class="lineno"> 255</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>
<div class="ttc" id="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp_xhtml_afef83a0459066ae76b0cd1ec5ae29687"><div class="ttname"><a href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.xhtml#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.xhtml#l00147">GetInputsOutputs.cpp:147</a></div></div>
<div class="ttc" id="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp_xhtml_ae636b47986a5a3f38e00a366c1c0060e"><div class="ttname"><a href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.xhtml#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.xhtml#l00069">GetInputsOutputs.cpp:69</a></div></div>
<div class="ttc" id="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp_xhtml_a503ae4f55dae1486e53978657083b35d"><div class="ttname"><a href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.xhtml#a503ae4f55dae1486e53978657083b35d">ModelPtr</a></div><div class="ttdeci">std::unique_ptr< onnx::ModelProto > ModelPtr</div><div class="ttdef"><b>Definition:</b> <a href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp_source.xhtml#l00012">GetInputsOutputs.cpp:12</a></div></div>
<div class="ttc" id="classarmnn_onnx_parser_1_1_onnx_parser_impl_xhtml_a7cf8b801043e1eccd5e6db1325eaa4fe"><div class="ttname"><a href="classarmnn_onnx_parser_1_1_onnx_parser_impl.xhtml#a7cf8b801043e1eccd5e6db1325eaa4fe">armnnOnnxParser::OnnxParserImpl::GetInputs</a></div><div class="ttdeci">static std::vector< std::string > GetInputs(ModelPtr &model)</div><div class="ttdoc">Retrieve inputs names. </div><div class="ttdef"><b>Definition:</b> <a href="_onnx_parser_8cpp_source.xhtml#l01816">OnnxParser.cpp:1816</a></div></div>
<div class="ttc" id="classarmnn_onnx_parser_1_1_onnx_parser_impl_xhtml_ad116319e33228bc23ec505887d3eee4d"><div class="ttname"><a href="classarmnn_onnx_parser_1_1_onnx_parser_impl.xhtml#ad116319e33228bc23ec505887d3eee4d">armnnOnnxParser::OnnxParserImpl::GetOutputs</a></div><div class="ttdeci">static std::vector< std::string > GetOutputs(ModelPtr &model)</div><div class="ttdoc">Retrieve outputs names. </div><div class="ttdef"><b>Definition:</b> <a href="_onnx_parser_8cpp_source.xhtml#l01840">OnnxParser.cpp:1840</a></div></div>
<div class="ttc" id="classarmnn_onnx_parser_1_1_onnx_parser_impl_xhtml_a181f87cf45fdc9f040a41c985ce7f8cd"><div class="ttname"><a href="classarmnn_onnx_parser_1_1_onnx_parser_impl.xhtml#a181f87cf45fdc9f040a41c985ce7f8cd">armnnOnnxParser::OnnxParserImpl::LoadModelFromString</a></div><div class="ttdeci">static ModelPtr LoadModelFromString(const std::string &inputString)</div><div class="ttdef"><b>Definition:</b> <a href="_onnx_parser_8cpp_source.xhtml#l00609">OnnxParser.cpp:609</a></div></div>
<div class="ttc" id="_parser_prototxt_fixture_8hpp_xhtml"><div class="ttname"><a href="_parser_prototxt_fixture_8hpp.xhtml">ParserPrototxtFixture.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_invalid_argument_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00080">Exceptions.hpp:80</a></div></div>
<div class="ttc" id="_profiler_tests_8cpp_xhtml_af7f71af5c6c124222dd1c42c5df892f4"><div class="ttname"><a href="_profiler_tests_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a></div><div class="ttdeci">BOOST_AUTO_TEST_SUITE_END()</div></div>
<div class="ttc" id="classarmnn_1_1_parse_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_parse_exception.xhtml">armnn::ParseException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00092">Exceptions.hpp:92</a></div></div>
<div class="ttc" id="structarmnn_utils_1_1_parser_prototxt_fixture_xhtml_a769404f2985a027a0d626fedfd4de1e9"><div class="ttname"><a href="structarmnn_utils_1_1_parser_prototxt_fixture.xhtml#a769404f2985a027a0d626fedfd4de1e9">armnnUtils::ParserPrototxtFixture::Setup</a></div><div class="ttdeci">void Setup()</div><div class="ttdef"><b>Definition:</b> <a href="_parser_prototxt_fixture_8hpp_source.xhtml#l00138">ParserPrototxtFixture.hpp:138</a></div></div>
<div class="ttc" id="structarmnn_utils_1_1_parser_prototxt_fixture_xhtml"><div class="ttname"><a href="structarmnn_utils_1_1_parser_prototxt_fixture.xhtml">armnnUtils::ParserPrototxtFixture</a></div><div class="ttdef"><b>Definition:</b> <a href="_parser_prototxt_fixture_8hpp_source.xhtml#l00023">ParserPrototxtFixture.hpp:23</a></div></div>
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