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<div class="textblock"><code>#include "<a class="el" href="_parser_flatbuffers_fixture_8hpp_source.xhtml">ParserFlatbuffersFixture.hpp</a>"</code><br />
<code>#include <<a class="el" href="_filesystem_8hpp_source.xhtml">armnnUtils/Filesystem.hpp</a>></code><br />
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<p><a href="_load_model_8cpp_source.xhtml">Go to the source code of this file.</a></p>
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Typedefs</h2></td></tr>
<tr class="memitem:aca1e2084b9f73717cb3b841032e9eb45"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="_load_model_8cpp.xhtml#aca1e2084b9f73717cb3b841032e9eb45">ModelPtr</a> = TfLiteParserImpl::ModelPtr</td></tr>
<tr class="separator:aca1e2084b9f73717cb3b841032e9eb45"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a037eb215cd80fff200b7aaa75dbf05de"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="_load_model_8cpp.xhtml#a037eb215cd80fff200b7aaa75dbf05de">SubgraphPtr</a> = TfLiteParserImpl::SubgraphPtr</td></tr>
<tr class="separator:a037eb215cd80fff200b7aaa75dbf05de"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a7fb19a2ee7e719641dfaa9fbac9f11d6"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="_load_model_8cpp.xhtml#a7fb19a2ee7e719641dfaa9fbac9f11d6">OperatorPtr</a> = TfLiteParserImpl::OperatorPtr</td></tr>
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<tr class="memitem:a25c313731327e6cda411c072966cd3cc"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_load_model_8cpp.xhtml#a25c313731327e6cda411c072966cd3cc">TEST_SUITE</a> ("TensorflowLiteParser_LoadModel")</td></tr>
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<h2 class="groupheader">Typedef Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#aca1e2084b9f73717cb3b841032e9eb45">◆ </a></span>ModelPtr</h2>
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<td class="memname">using <a class="el" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.xhtml#a503ae4f55dae1486e53978657083b35d">ModelPtr</a> = TfLiteParserImpl::ModelPtr</td>
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<p class="definition">Definition at line <a class="el" href="_load_model_8cpp_source.xhtml#l00011">11</a> of file <a class="el" href="_load_model_8cpp_source.xhtml">LoadModel.cpp</a>.</p>
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<h2 class="memtitle"><span class="permalink"><a href="#a7fb19a2ee7e719641dfaa9fbac9f11d6">◆ </a></span>OperatorPtr</h2>
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<td class="memname">using <a class="el" href="_load_model_8cpp.xhtml#a7fb19a2ee7e719641dfaa9fbac9f11d6">OperatorPtr</a> = TfLiteParserImpl::OperatorPtr</td>
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<p class="definition">Definition at line <a class="el" href="_load_model_8cpp_source.xhtml#l00013">13</a> of file <a class="el" href="_load_model_8cpp_source.xhtml">LoadModel.cpp</a>.</p>
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<a id="a037eb215cd80fff200b7aaa75dbf05de"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a037eb215cd80fff200b7aaa75dbf05de">◆ </a></span>SubgraphPtr</h2>
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<td class="memname">using <a class="el" href="_load_model_8cpp.xhtml#a037eb215cd80fff200b7aaa75dbf05de">SubgraphPtr</a> = TfLiteParserImpl::SubgraphPtr</td>
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<p class="definition">Definition at line <a class="el" href="_load_model_8cpp_source.xhtml#l00012">12</a> of file <a class="el" href="_load_model_8cpp_source.xhtml">LoadModel.cpp</a>.</p>
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<h2 class="groupheader">Function Documentation</h2>
<a id="a25c313731327e6cda411c072966cd3cc"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a25c313731327e6cda411c072966cd3cc">◆ </a></span>TEST_SUITE()</h2>
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<td class="memname">TEST_SUITE </td>
<td>(</td>
<td class="paramtype">"TensorflowLiteParser_LoadModel" </td>
<td class="paramname"></td><td>)</td>
<td></td>
</tr>
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</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_load_model_8cpp_source.xhtml#l00015">15</a> of file <a class="el" href="_load_model_8cpp_source.xhtml">LoadModel.cpp</a>.</p>
<p class="reference">References <a class="el" href="_filesystem_8cpp_source.xhtml#l00023">armnnUtils::Filesystem::NamedTempFile()</a>, <a class="el" href="_parser_flatbuffers_fixture_8hpp_source.xhtml#l00161">ParserFlatbuffersFixture::ReadStringToBinary()</a>, and <a class="el" href="_mem_copy_tests_8cpp_source.xhtml#l00045">TEST_CASE_FIXTURE()</a>.</p>
<div class="fragment"><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> {</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="keyword">struct </span>LoadModelFixture : <span class="keyword">public</span> <a class="code" href="struct_parser_flatbuffers_fixture.xhtml">ParserFlatbuffersFixture</a></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> {</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <span class="keyword">explicit</span> LoadModelFixture()</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  {</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  m_JsonString = R<span class="stringliteral">"(</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="stringliteral"> "version": 3,</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="stringliteral"> "operator_codes": [ { "builtin_code": "AVERAGE_POOL_2D" }, { "builtin_code": "CONV_2D" } ],</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="stringliteral"> "subgraphs": [</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="stringliteral"> "tensors": [</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="stringliteral"> "shape": [ 1, 1, 1, 1 ] ,</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="stringliteral"> "type": "UINT8",</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="stringliteral"> "buffer": 0,</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="stringliteral"> "name": "OutputTensor",</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="stringliteral"> "min": [ 0.0 ],</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="stringliteral"> "max": [ 255.0 ],</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="stringliteral"> "scale": [ 1.0 ],</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="stringliteral"> "zero_point": [ 0 ]</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"> "shape": [ 1, 2, 2, 1 ] ,</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="stringliteral"> "type": "UINT8",</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="stringliteral"> "buffer": 1,</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="stringliteral"> "name": "InputTensor",</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="stringliteral"> "min": [ 0.0 ],</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="stringliteral"> "max": [ 255.0 ],</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="stringliteral"> "scale": [ 1.0 ],</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="stringliteral"> "zero_point": [ 0 ]</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="stringliteral"> ],</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="stringliteral"> "inputs": [ 1 ],</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="stringliteral"> "outputs": [ 0 ],</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="stringliteral"> "operators": [ {</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="stringliteral"> "opcode_index": 0,</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="stringliteral"> "inputs": [ 1 ],</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="stringliteral"> "outputs": [ 0 ],</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="stringliteral"> "builtin_options_type": "Pool2DOptions",</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="stringliteral"> "builtin_options":</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="stringliteral"> "padding": "VALID",</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="stringliteral"> "stride_w": 2,</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="stringliteral"> "stride_h": 2,</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="stringliteral"> "filter_width": 2,</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="stringliteral"> "filter_height": 2,</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="stringliteral"> "fused_activation_function": "NONE"</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="stringliteral"> "custom_options_format": "FLEXBUFFERS"</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"> },</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="stringliteral"> "tensors": [</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="stringliteral"> "shape": [ 1, 3, 3, 1 ],</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="stringliteral"> "type": "UINT8",</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="stringliteral"> "buffer": 0,</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="stringliteral"> "name": "ConvInputTensor",</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="stringliteral"> "scale": [ 1.0 ],</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="stringliteral"> "zero_point": [ 0 ],</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="stringliteral"> "shape": [ 1, 1, 1, 1 ],</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="stringliteral"> "type": "UINT8",</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="stringliteral"> "buffer": 1,</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="stringliteral"> "name": "ConvOutputTensor",</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="stringliteral"> "min": [ 0.0 ],</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="stringliteral"> "max": [ 511.0 ],</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="stringliteral"> "scale": [ 2.0 ],</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="stringliteral"> "zero_point": [ 0 ],</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="stringliteral"> "shape": [ 1, 3, 3, 1 ],</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="stringliteral"> "type": "UINT8",</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="stringliteral"> "buffer": 2,</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="stringliteral"> "name": "filterTensor",</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="stringliteral"> "min": [ 0.0 ],</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="stringliteral"> "max": [ 255.0 ],</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="stringliteral"> "scale": [ 1.0 ],</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="stringliteral"> "zero_point": [ 0 ],</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="stringliteral"> ],</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="stringliteral"> "inputs": [ 0 ],</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="stringliteral"> "outputs": [ 1 ],</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="stringliteral"> "operators": [</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"> "opcode_index": 1,</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> <span class="stringliteral"> "inputs": [ 0, 2 ],</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="stringliteral"> "outputs": [ 1 ],</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> <span class="stringliteral"> "builtin_options_type": "Conv2DOptions",</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="stringliteral"> "builtin_options": {</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="stringliteral"> "padding": "VALID",</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="stringliteral"> "stride_w": 1,</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> <span class="stringliteral"> "stride_h": 1,</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> <span class="stringliteral"> "fused_activation_function": "NONE"</span></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> <span class="stringliteral"> "custom_options_format": "FLEXBUFFERS"</span></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> <span class="stringliteral"> ],</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> <span class="stringliteral"> }</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"> "description": "Test loading a model",</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> <span class="stringliteral"> "buffers" : [ {}, {} ]</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"> <a class="code" href="struct_parser_flatbuffers_fixture.xhtml#a69fc8e7f42386fa67732cb8c98d8b024">ReadStringToBinary</a>();</span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <span class="stringliteral"></span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> <span class="stringliteral"> </span><span class="keywordtype">void</span> CheckModel(<span class="keyword">const</span> <a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.xhtml#a503ae4f55dae1486e53978657083b35d">ModelPtr</a>& model, uint32_t version, <span class="keywordtype">size_t</span> opcodeSize,</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keyword">const</span> std::vector<tflite::BuiltinOperator>& opcodes,</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keywordtype">size_t</span> subgraphs, <span class="keyword">const</span> std::string desc, <span class="keywordtype">size_t</span> buffers)</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  {</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  CHECK(model);</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  CHECK_EQ(version, model->version);</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  CHECK_EQ(opcodeSize, model->operator_codes.size());</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  CheckBuiltinOperators(opcodes, model->operator_codes);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  CHECK_EQ(subgraphs, model->subgraphs.size());</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  CHECK_EQ(desc, model->description);</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  CHECK_EQ(buffers, model->buffers.size());</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  }</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> </div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordtype">void</span> CheckBuiltinOperators(<span class="keyword">const</span> std::vector<tflite::BuiltinOperator>& expectedOperators,</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keyword">const</span> std::vector<std::unique_ptr<tflite::OperatorCodeT>>& result)</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>  CHECK_EQ(expectedOperators.size(), result.size());</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < expectedOperators.size(); i++)</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>  CHECK_EQ(expectedOperators[i], result[i]->builtin_code);</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  }</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  }</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> </div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordtype">void</span> CheckSubgraph(<span class="keyword">const</span> <a class="code" href="_load_model_8cpp.xhtml#a037eb215cd80fff200b7aaa75dbf05de">SubgraphPtr</a>& subgraph, <span class="keywordtype">size_t</span> tensors, <span class="keyword">const</span> std::vector<int32_t>& inputs,</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keyword">const</span> std::vector<int32_t>& outputs, <span class="keywordtype">size_t</span> operators, <span class="keyword">const</span> std::string& name)</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  {</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  CHECK(subgraph);</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  CHECK_EQ(tensors, subgraph->tensors.size());</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  CHECK(std::equal(inputs.begin(), inputs.end(), subgraph->inputs.begin(), subgraph->inputs.end()));</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  CHECK(std::equal(outputs.begin(), outputs.end(),</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  subgraph->outputs.begin(), subgraph->outputs.end()));</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  CHECK_EQ(operators, subgraph->operators.size());</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  CHECK_EQ(name, subgraph->name);</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  }</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keywordtype">void</span> CheckOperator(<span class="keyword">const</span> <a class="code" href="_load_model_8cpp.xhtml#a7fb19a2ee7e719641dfaa9fbac9f11d6">OperatorPtr</a>& operatorPtr, uint32_t opcode, <span class="keyword">const</span> std::vector<int32_t>& inputs,</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keyword">const</span> std::vector<int32_t>& outputs, tflite::BuiltinOptions optionType,</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  tflite::CustomOptionsFormat custom_options_format)</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  {</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  CHECK(operatorPtr);</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  CHECK_EQ(opcode, operatorPtr->opcode_index);</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  CHECK(std::equal(inputs.begin(), inputs.end(),</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  operatorPtr->inputs.begin(), operatorPtr->inputs.end()));</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  CHECK(std::equal(outputs.begin(), outputs.end(),</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  operatorPtr->outputs.begin(), operatorPtr->outputs.end()));</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  CHECK_EQ(optionType, operatorPtr->builtin_options.type);</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  CHECK_EQ(custom_options_format, operatorPtr->custom_options_format);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  }</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> };</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> </div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> <a class="code" href="_mem_copy_tests_8cpp.xhtml#a3df1acc0ccc35bce0bd6c027e23e2c45">TEST_CASE_FIXTURE</a>(LoadModelFixture, <span class="stringliteral">"LoadModelFromBinary"</span>)</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> {</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <a class="code" href="_load_model_8cpp.xhtml#aca1e2084b9f73717cb3b841032e9eb45">TfLiteParserImpl::ModelPtr</a> model = TfLiteParserImpl::LoadModelFromBinary(m_GraphBinary.data(),</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  m_GraphBinary.size());</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  CheckModel(model, 3, 2, { tflite::BuiltinOperator_AVERAGE_POOL_2D, tflite::BuiltinOperator_CONV_2D },</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  2, <span class="stringliteral">"Test loading a model"</span>, 2);</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  CheckSubgraph(model->subgraphs[0], 2, { 1 }, { 0 }, 1, <span class="stringliteral">""</span>);</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  CheckSubgraph(model->subgraphs[1], 3, { 0 }, { 1 }, 1, <span class="stringliteral">""</span>);</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  CheckOperator(model->subgraphs[0]->operators[0], 0, { 1 }, { 0 }, tflite::BuiltinOptions_Pool2DOptions,</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  tflite::CustomOptionsFormat_FLEXBUFFERS);</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  CheckOperator(model->subgraphs[1]->operators[0], 1, { 0, 2 }, { 1 }, tflite::BuiltinOptions_Conv2DOptions,</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  tflite::CustomOptionsFormat_FLEXBUFFERS);</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> }</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> </div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> <a class="code" href="_mem_copy_tests_8cpp.xhtml#a3df1acc0ccc35bce0bd6c027e23e2c45">TEST_CASE_FIXTURE</a>(LoadModelFixture, <span class="stringliteral">"LoadModelFromFile"</span>)</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> {</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keyword">using namespace </span>fs;</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  fs::path fname = <a class="code" href="namespacearmnn_utils_1_1_filesystem.xhtml#a606d65835d72a332109c3c9f96a01b8a">armnnUtils::Filesystem::NamedTempFile</a>(<span class="stringliteral">"Armnn-tfLite-LoadModelFromFile-TempFile.csv"</span>);</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keywordtype">bool</span> saved = flatbuffers::SaveFile(fname.c_str(),</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="keyword">reinterpret_cast<</span><span class="keywordtype">char</span> *<span class="keyword">></span>(m_GraphBinary.data()),</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  m_GraphBinary.size(), <span class="keyword">true</span>);</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  CHECK_MESSAGE(saved, <span class="stringliteral">"Cannot save test file"</span>);</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span> </div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <a class="code" href="_load_model_8cpp.xhtml#aca1e2084b9f73717cb3b841032e9eb45">TfLiteParserImpl::ModelPtr</a> model = TfLiteParserImpl::LoadModelFromFile(fname.c_str());</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  CheckModel(model, 3, 2, { tflite::BuiltinOperator_AVERAGE_POOL_2D, tflite::BuiltinOperator_CONV_2D },</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  2, <span class="stringliteral">"Test loading a model"</span>, 2);</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  CheckSubgraph(model->subgraphs[0], 2, { 1 }, { 0 }, 1, <span class="stringliteral">""</span>);</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  CheckSubgraph(model->subgraphs[1], 3, { 0 }, { 1 }, 1, <span class="stringliteral">""</span>);</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  CheckOperator(model->subgraphs[0]->operators[0], 0, { 1 }, { 0 }, tflite::BuiltinOptions_Pool2DOptions,</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  tflite::CustomOptionsFormat_FLEXBUFFERS);</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  CheckOperator(model->subgraphs[1]->operators[0], 1, { 0, 2 }, { 1 }, tflite::BuiltinOptions_Conv2DOptions,</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  tflite::CustomOptionsFormat_FLEXBUFFERS);</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keyword">remove</span>(fname);</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> }</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> </div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> TEST_CASE(<span class="stringliteral">"LoadNullBinary"</span>)</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> {</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  CHECK_THROWS_AS(TfLiteParserImpl::LoadModelFromBinary(<span class="keyword">nullptr</span>, 0), <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>);</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> }</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> </div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> TEST_CASE(<span class="stringliteral">"LoadInvalidBinary"</span>)</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> {</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  std::string testData = <span class="stringliteral">"invalid data"</span>;</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  CHECK_THROWS_AS(TfLiteParserImpl::LoadModelFromBinary(reinterpret_cast<const uint8_t*>(&testData),</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  testData.length()), <a class="code" href="classarmnn_1_1_parse_exception.xhtml">armnn::ParseException</a>);</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> }</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> </div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> TEST_CASE(<span class="stringliteral">"LoadFileNotFound"</span>)</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span> {</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  CHECK_THROWS_AS(TfLiteParserImpl::LoadModelFromFile(<span class="stringliteral">"invalidfile.tflite"</span>), <a class="code" href="classarmnn_1_1_file_not_found_exception.xhtml">armnn::FileNotFoundException</a>);</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> }</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span> </div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span> TEST_CASE(<span class="stringliteral">"LoadNullPtrFile"</span>)</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span> {</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  CHECK_THROWS_AS(TfLiteParserImpl::LoadModelFromFile(<span class="keyword">nullptr</span>), <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>);</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span> }</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> </div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span> }</div><div class="ttc" id="_load_model_8cpp_xhtml_a7fb19a2ee7e719641dfaa9fbac9f11d6"><div class="ttname"><a href="_load_model_8cpp.xhtml#a7fb19a2ee7e719641dfaa9fbac9f11d6">OperatorPtr</a></div><div class="ttdeci">TfLiteParserImpl::OperatorPtr OperatorPtr</div><div class="ttdef"><b>Definition:</b> <a href="_load_model_8cpp_source.xhtml#l00013">LoadModel.cpp:13</a></div></div>
<div class="ttc" id="classarmnn_1_1_file_not_found_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_file_not_found_exception.xhtml">armnn::FileNotFoundException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00086">Exceptions.hpp:86</a></div></div>
<div class="ttc" id="struct_parser_flatbuffers_fixture_xhtml_a69fc8e7f42386fa67732cb8c98d8b024"><div class="ttname"><a href="struct_parser_flatbuffers_fixture.xhtml#a69fc8e7f42386fa67732cb8c98d8b024">ParserFlatbuffersFixture::ReadStringToBinary</a></div><div class="ttdeci">bool ReadStringToBinary()</div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_fixture_8hpp_source.xhtml#l00161">ParserFlatbuffersFixture.hpp:161</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#l00011">GetInputsOutputs.cpp:11</a></div></div>
<div class="ttc" id="struct_parser_flatbuffers_fixture_xhtml"><div class="ttname"><a href="struct_parser_flatbuffers_fixture.xhtml">ParserFlatbuffersFixture</a></div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_fixture_8hpp_source.xhtml#l00036">ParserFlatbuffersFixture.hpp:36</a></div></div>
<div class="ttc" id="_mem_copy_tests_8cpp_xhtml_a3df1acc0ccc35bce0bd6c027e23e2c45"><div class="ttname"><a href="_mem_copy_tests_8cpp.xhtml#a3df1acc0ccc35bce0bd6c027e23e2c45">TEST_CASE_FIXTURE</a></div><div class="ttdeci">TEST_CASE_FIXTURE(ClContextControlFixture, "CopyBetweenNeonAndGpu")</div><div class="ttdef"><b>Definition:</b> <a href="_mem_copy_tests_8cpp_source.xhtml#l00045">MemCopyTests.cpp:45</a></div></div>
<div class="ttc" id="_load_model_8cpp_xhtml_a037eb215cd80fff200b7aaa75dbf05de"><div class="ttname"><a href="_load_model_8cpp.xhtml#a037eb215cd80fff200b7aaa75dbf05de">SubgraphPtr</a></div><div class="ttdeci">TfLiteParserImpl::SubgraphPtr SubgraphPtr</div><div class="ttdef"><b>Definition:</b> <a href="_load_model_8cpp_source.xhtml#l00012">LoadModel.cpp:12</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="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="namespacearmnn_utils_1_1_filesystem_xhtml_a606d65835d72a332109c3c9f96a01b8a"><div class="ttname"><a href="namespacearmnn_utils_1_1_filesystem.xhtml#a606d65835d72a332109c3c9f96a01b8a">armnnUtils::Filesystem::NamedTempFile</a></div><div class="ttdeci">fs::path NamedTempFile(const char *fileName)</div><div class="ttdoc">Returns a path to a file in the system temporary folder. If the file existed it will be deleted...</div><div class="ttdef"><b>Definition:</b> <a href="_filesystem_8cpp_source.xhtml#l00023">Filesystem.cpp:23</a></div></div>
<div class="ttc" id="_load_model_8cpp_xhtml_aca1e2084b9f73717cb3b841032e9eb45"><div class="ttname"><a href="_load_model_8cpp.xhtml#aca1e2084b9f73717cb3b841032e9eb45">ModelPtr</a></div><div class="ttdeci">TfLiteParserImpl::ModelPtr ModelPtr</div><div class="ttdef"><b>Definition:</b> <a href="_load_model_8cpp_source.xhtml#l00011">LoadModel.cpp:11</a></div></div>
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