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Nikhil Raj9aed8fb2021-11-17 13:16:45 +0000[diff] [blame]1<!-- Copyright (c) 2020 ARM Limited. -->
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103<div class="textblock"><code>#include &quot;<a class="el" href="_parser_flatbuffers_fixture_8hpp_source.xhtml">ParserFlatbuffersFixture.hpp</a>&quot;</code><br />
104<code>#include &quot;<a class="el" href="_tf_lite_parser_8hpp_source.xhtml">../TfLiteParser.hpp</a>&quot;</code><br />
105<code>#include &lt;sstream&gt;</code><br />
106</div>
107<p><a href="_get_buffer_8cpp_source.xhtml">Go to the source code of this file.</a></p>
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116<h2 class="memtitle"><span class="permalink"><a href="#a2d5fd298f5408341a1e4e9649495c9af">&#9670;&nbsp;</a></span>TEST_SUITE()</h2>
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122 <td class="memname">TEST_SUITE </td>
123 <td>(</td>
124 <td class="paramtype">&quot;TensorflowLiteParser_GetBuffer&quot;&#160;</td>
125 <td class="paramname"></td><td>)</td>
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131<p class="definition">Definition at line <a class="el" href="_get_buffer_8cpp_source.xhtml#l00012">12</a> of file <a class="el" href="_get_buffer_8cpp_source.xhtml">GetBuffer.cpp</a>.</p>
132
133<p class="reference">References <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>
134<div class="fragment"><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;{</div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="keyword">struct </span>GetBufferFixture : <span class="keyword">public</span> <a class="code" href="struct_parser_flatbuffers_fixture.xhtml">ParserFlatbuffersFixture</a></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;{</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160; <span class="keyword">explicit</span> GetBufferFixture()</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160; {</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160; m_JsonString = R<span class="stringliteral">&quot;(</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="stringliteral"> {</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="stringliteral"> &quot;version&quot;: 3,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="stringliteral"> &quot;operator_codes&quot;: [ { &quot;builtin_code&quot;: &quot;CONV_2D&quot; } ],</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="stringliteral"> &quot;subgraphs&quot;: [ {</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="stringliteral"> &quot;tensors&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;shape&quot;: [ 1, 3, 3, 1 ],</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;<span class="stringliteral"> &quot;type&quot;: &quot;UINT8&quot;,</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="stringliteral"> &quot;buffer&quot;: 0,</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="stringliteral"> &quot;name&quot;: &quot;inputTensor&quot;,</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="stringliteral"> &quot;quantization&quot;: {</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;<span class="stringliteral"> &quot;min&quot;: [ 0.0 ],</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="stringliteral"> &quot;max&quot;: [ 255.0 ],</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="stringliteral"> &quot;scale&quot;: [ 1.0 ],</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;<span class="stringliteral"> &quot;zero_point&quot;: [ 0 ],</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="stringliteral"> }</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;<span class="stringliteral"> },</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="stringliteral"> {</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;<span class="stringliteral"> &quot;shape&quot;: [ 1, 1, 1, 1 ],</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;<span class="stringliteral"> &quot;type&quot;: &quot;UINT8&quot;,</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;<span class="stringliteral"> &quot;buffer&quot;: 1,</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;<span class="stringliteral"> &quot;name&quot;: &quot;outputTensor&quot;,</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;<span class="stringliteral"> &quot;quantization&quot;: {</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;<span class="stringliteral"> &quot;min&quot;: [ 0.0 ],</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;<span class="stringliteral"> &quot;max&quot;: [ 511.0 ],</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;<span class="stringliteral"> &quot;scale&quot;: [ 2.0 ],</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160;<span class="stringliteral"> &quot;zero_point&quot;: [ 0 ],</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;<span class="stringliteral"> }</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;<span class="stringliteral"> },</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"> &quot;shape&quot;: [ 1, 3, 3, 1 ],</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;<span class="stringliteral"> &quot;type&quot;: &quot;UINT8&quot;,</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;<span class="stringliteral"> &quot;buffer&quot;: 2,</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;<span class="stringliteral"> &quot;name&quot;: &quot;filterTensor&quot;,</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;<span class="stringliteral"> &quot;quantization&quot;: {</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;<span class="stringliteral"> &quot;min&quot;: [ 0.0 ],</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;<span class="stringliteral"> &quot;max&quot;: [ 255.0 ],</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;<span class="stringliteral"> &quot;scale&quot;: [ 1.0 ],</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;<span class="stringliteral"> &quot;zero_point&quot;: [ 0 ],</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;<span class="stringliteral"> }</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;<span class="stringliteral"> }</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;<span class="stringliteral"> ],</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;<span class="stringliteral"> &quot;inputs&quot;: [ 0 ],</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;<span class="stringliteral"> &quot;outputs&quot;: [ 1 ],</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;<span class="stringliteral"> &quot;operators&quot;: [</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;<span class="stringliteral"> {</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;<span class="stringliteral"> &quot;opcode_index&quot;: 0,</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160;<span class="stringliteral"> &quot;inputs&quot;: [ 0, 2 ],</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;<span class="stringliteral"> &quot;outputs&quot;: [ 1 ],</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;<span class="stringliteral"> &quot;builtin_options_type&quot;: &quot;Conv2DOptions&quot;,</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;<span class="stringliteral"> &quot;builtin_options&quot;: {</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;<span class="stringliteral"> &quot;padding&quot;: &quot;VALID&quot;,</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160;<span class="stringliteral"> &quot;stride_w&quot;: 1,</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160;<span class="stringliteral"> &quot;stride_h&quot;: 1,</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160;<span class="stringliteral"> &quot;fused_activation_function&quot;: &quot;NONE&quot;</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;custom_options_format&quot;: &quot;FLEXBUFFERS&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"> ],</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;<span class="stringliteral"> } ],</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;<span class="stringliteral"> &quot;buffers&quot; : [</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160;<span class="stringliteral"> { },</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160;<span class="stringliteral"> { },</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;<span class="stringliteral"> { &quot;data&quot;: [ 2,1,0, 6,2,1, 4,1,2 ], },</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;<span class="stringliteral"> { },</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 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"> )&quot;;</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160;<span class="stringliteral"> <a class="code" href="struct_parser_flatbuffers_fixture.xhtml#a69fc8e7f42386fa67732cb8c98d8b024">ReadStringToBinary</a>();</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;<span class="stringliteral"> }</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160;<span class="stringliteral"></span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160;<span class="stringliteral"> </span><span class="keywordtype">void</span> CheckBufferContents(<span class="keyword">const</span> <a class="code" href="namespacearmnn_onnx_parser.xhtml#a503ae4f55dae1486e53978657083b35d">TfLiteParserImpl::ModelPtr</a>&amp; model,</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; std::vector&lt;int32_t&gt; bufferValues, <span class="keywordtype">size_t</span> bufferIndex)</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; {</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">long</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0; i&lt;bufferValues.size(); i++)</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; {</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; CHECK_EQ(TfLiteParserImpl::GetBuffer(model, bufferIndex)-&gt;data[i], bufferValues[i]);</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; }</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; }</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160;};</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160;<a class="code" href="_mem_copy_tests_8cpp.xhtml#a3df1acc0ccc35bce0bd6c027e23e2c45">TEST_CASE_FIXTURE</a>(GetBufferFixture, <span class="stringliteral">&quot;GetBufferCheckContents&quot;</span>)</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160;{</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <span class="comment">//Check contents of buffer are correct</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <a class="code" href="namespacearmnn_onnx_parser.xhtml#a503ae4f55dae1486e53978657083b35d">TfLiteParserImpl::ModelPtr</a> model = TfLiteParserImpl::LoadModelFromBinary(m_GraphBinary.data(),</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; m_GraphBinary.size());</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; std::vector&lt;int32_t&gt; bufferValues = {2,1,0,6,2,1,4,1,2};</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; CheckBufferContents(model, bufferValues, 2);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160;}</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160;</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160;<a class="code" href="_mem_copy_tests_8cpp.xhtml#a3df1acc0ccc35bce0bd6c027e23e2c45">TEST_CASE_FIXTURE</a>(GetBufferFixture, <span class="stringliteral">&quot;GetBufferCheckEmpty&quot;</span>)</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160;{</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <span class="comment">//Check if test fixture buffers are empty or not</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <a class="code" href="namespacearmnn_onnx_parser.xhtml#a503ae4f55dae1486e53978657083b35d">TfLiteParserImpl::ModelPtr</a> model = TfLiteParserImpl::LoadModelFromBinary(m_GraphBinary.data(),</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; m_GraphBinary.size());</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; CHECK(TfLiteParserImpl::GetBuffer(model, 0)-&gt;data.empty());</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; CHECK(TfLiteParserImpl::GetBuffer(model, 1)-&gt;data.empty());</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; CHECK(!TfLiteParserImpl::GetBuffer(model, 2)-&gt;data.empty());</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; CHECK(TfLiteParserImpl::GetBuffer(model, 3)-&gt;data.empty());</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160;}</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160;</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160;<a class="code" href="_mem_copy_tests_8cpp.xhtml#a3df1acc0ccc35bce0bd6c027e23e2c45">TEST_CASE_FIXTURE</a>(GetBufferFixture, <span class="stringliteral">&quot;GetBufferCheckParseException&quot;</span>)</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160;{</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <span class="comment">//Check if armnn::ParseException thrown when invalid buffer index used</span></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <a class="code" href="namespacearmnn_onnx_parser.xhtml#a503ae4f55dae1486e53978657083b35d">TfLiteParserImpl::ModelPtr</a> model = TfLiteParserImpl::LoadModelFromBinary(m_GraphBinary.data(),</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; m_GraphBinary.size());</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; CHECK_THROWS_AS(TfLiteParserImpl::GetBuffer(model, 4), <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160;}</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160;</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160;}</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>
135<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>
136<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, &quot;CopyBetweenNeonAndGpu&quot;)</div><div class="ttdef"><b>Definition:</b> <a href="_mem_copy_tests_8cpp_source.xhtml#l00045">MemCopyTests.cpp:45</a></div></div>
137<div class="ttc" id="namespacearmnn_onnx_parser_xhtml_a503ae4f55dae1486e53978657083b35d"><div class="ttname"><a href="namespacearmnn_onnx_parser.xhtml#a503ae4f55dae1486e53978657083b35d">armnnOnnxParser::ModelPtr</a></div><div class="ttdeci">std::unique_ptr&lt; onnx::ModelProto &gt; ModelPtr</div><div class="ttdef"><b>Definition:</b> <a href="_onnx_parser_8hpp_source.xhtml#l00023">OnnxParser.hpp:23</a></div></div>
138<div class="ttc" id="classarmnn_1_1_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_exception.xhtml">armnn::Exception</a></div><div class="ttdoc">Base class for all ArmNN exceptions so that users can filter to just those. </div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00046">Exceptions.hpp:46</a></div></div>
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