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+<a href="_parser_flatbuffers_serialize_fixture_8hpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;</div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;</div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_schema_serialize_8hpp.xhtml">SchemaSerialize.hpp</a>&quot;</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_tensor_helpers_8hpp.xhtml">test/TensorHelpers.hpp</a>&quot;</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;</div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &quot;flatbuffers/idl.h&quot;</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="preprocessor">#include &quot;flatbuffers/util.h&quot;</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;</div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="preprocessor">#include &lt;ArmnnSchema_generated.h&gt;</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_i_runtime_8hpp.xhtml">armnn/IRuntime.hpp</a>&gt;</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_i_deserializer_8hpp.xhtml">armnnDeserializer/IDeserializer.hpp</a>&gt;</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_ignore_unused_8hpp.xhtml">armnn/utility/IgnoreUnused.hpp</a>&gt;</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_resolve_type_8hpp.xhtml">ResolveType.hpp</a>&gt;</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="preprocessor">#include &lt;boost/assert.hpp&gt;</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="preprocessor">#include &lt;boost/format.hpp&gt;</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="keyword">using</span> <a class="code" href="classarmnn_deserializer_1_1_i_deserializer.xhtml">armnnDeserializer::IDeserializer</a>;</div><div class="line"><a name="l00025"></a><span class="lineno"><a class="line" href="_parser_flatbuffers_serialize_fixture_8hpp.xhtml#a15c20a0693cd3fc4d85565e2f920d8ef"> 25</a></span>&#160;<span class="keyword">using</span> <a class="code" href="_parser_flatbuffers_serialize_fixture_8hpp.xhtml#a15c20a0693cd3fc4d85565e2f920d8ef">TensorRawPtr</a> = armnnSerializer::TensorInfo*;</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno"><a class="line" href="struct_parser_flatbuffers_serialize_fixture.xhtml"> 27</a></span>&#160;<span class="keyword">struct </span><a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml">ParserFlatbuffersSerializeFixture</a></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;{</div><div class="line"><a name="l00029"></a><span class="lineno"><a class="line" href="struct_parser_flatbuffers_serialize_fixture.xhtml#accb0415cfdd9f1dbcf83d8e761edeb33"> 29</a></span>&#160; <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#accb0415cfdd9f1dbcf83d8e761edeb33">ParserFlatbuffersSerializeFixture</a>() :</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a1b4988dc1a728466d3f1b5b30513a97a">m_Parser</a>(<a class="code" href="classarmnn_deserializer_1_1_i_deserializer.xhtml">IDeserializer</a>::Create()),</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#aefd699eb0838261fbe9770d511f63f24">m_Runtime</a>(<a class="code" href="namespacearmnn.xhtml">armnn</a>::IRuntime::Create(<a class="code" href="namespacearmnn.xhtml">armnn</a>::IRuntime::CreationOptions())),</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a0b81fa34e5ca505b9880755f702fafe7">m_NetworkIdentifier</a>(-1)</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; {</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; }</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;</div><div class="line"><a name="l00036"></a><span class="lineno"><a class="line" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a9fbc789fd0aca759cb40737fdeb8ed63"> 36</a></span>&#160; std::vector&lt;uint8_t&gt; <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a9fbc789fd0aca759cb40737fdeb8ed63">m_GraphBinary</a>;</div><div class="line"><a name="l00037"></a><span class="lineno"><a class="line" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a803c86dca3acef653c1cc481a27be7a9"> 37</a></span>&#160; std::string <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a803c86dca3acef653c1cc481a27be7a9">m_JsonString</a>;</div><div class="line"><a name="l00038"></a><span class="lineno"><a class="line" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a1b4988dc1a728466d3f1b5b30513a97a"> 38</a></span>&#160; std::unique_ptr&lt;IDeserializer, void (*)(IDeserializer* parser)&gt; <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a1b4988dc1a728466d3f1b5b30513a97a">m_Parser</a>;</div><div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="struct_parser_flatbuffers_serialize_fixture.xhtml#aefd699eb0838261fbe9770d511f63f24"> 39</a></span>&#160; <a class="code" href="namespacearmnn.xhtml#a150468a02bd7b2d2d061c4aaaee939f0">armnn::IRuntimePtr</a> <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#aefd699eb0838261fbe9770d511f63f24">m_Runtime</a>;</div><div class="line"><a name="l00040"></a><span class="lineno"><a class="line" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a0b81fa34e5ca505b9880755f702fafe7"> 40</a></span>&#160; <a class="code" href="namespacearmnn.xhtml#a83015160d8c67d5d77735eb0d4033d9a">armnn::NetworkId</a> <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a0b81fa34e5ca505b9880755f702fafe7">m_NetworkIdentifier</a>;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;<span class="comment"> /// If the single-input-single-output overload of Setup() is called, these will store the input and output name</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;<span class="comment"> /// so they don&#39;t need to be passed to the single-input-single-output overload of RunTest().</span></div><div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a2f8365158b7c75e43897fbe804b7fc4f"> 44</a></span>&#160;<span class="comment"></span> std::string <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a2f8365158b7c75e43897fbe804b7fc4f">m_SingleInputName</a>;</div><div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="struct_parser_flatbuffers_serialize_fixture.xhtml#add32b4d209a5b5d6ea6db94b9894ad75"> 45</a></span>&#160; std::string <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#add32b4d209a5b5d6ea6db94b9894ad75">m_SingleOutputName</a>;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;</div><div class="line"><a name="l00047"></a><span class="lineno"><a class="line" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a769404f2985a027a0d626fedfd4de1e9"> 47</a></span>&#160; <span class="keywordtype">void</span> <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a769404f2985a027a0d626fedfd4de1e9">Setup</a>()</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; {</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <span class="keywordtype">bool</span> ok = <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a69fc8e7f42386fa67732cb8c98d8b024">ReadStringToBinary</a>();</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <span class="keywordflow">if</span> (!ok)</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; {</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>(<span class="stringliteral">&quot;LoadNetwork failed while reading binary input&quot;</span>);</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; }</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> network =</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; m_Parser-&gt;CreateNetworkFromBinary(m_GraphBinary);</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <span class="keywordflow">if</span> (!network)</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; {</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>(<span class="stringliteral">&quot;The parser failed to create an ArmNN network&quot;</span>);</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; }</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <span class="keyword">auto</span> optimized = <a class="code" href="namespacearmnn.xhtml#a82e98ef05fd67036d1195ba17174d685">Optimize</a>(*network, {<a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">armnn::Compute::CpuRef</a>},</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; m_Runtime-&gt;GetDeviceSpec());</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; std::string errorMessage;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a> ret = m_Runtime-&gt;LoadNetwork(m_NetworkIdentifier, move(optimized), errorMessage);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <span class="keywordflow">if</span> (ret != <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Status::Success</a>)</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; {</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>(</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; boost::str(</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; boost::format(<span class="stringliteral">&quot;The runtime failed to load the network. &quot;</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <span class="stringliteral">&quot;Error was: %1%. in %2% [%3%:%4%]&quot;</span>) %</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; errorMessage %</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; __func__ %</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; __FILE__ %</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; __LINE__));</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; }</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; }</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;</div><div class="line"><a name="l00083"></a><span class="lineno"><a class="line" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a2bb4ea256fbbf6d53068ca93bb4bc95c"> 83</a></span>&#160; <span class="keywordtype">void</span> <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a2bb4ea256fbbf6d53068ca93bb4bc95c">SetupSingleInputSingleOutput</a>(<span class="keyword">const</span> std::string&amp; inputName, <span class="keyword">const</span> std::string&amp; outputName)</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; {</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <span class="comment">// Store the input and output name so they don&#39;t need to be passed to the single-input-single-output RunTest().</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; m_SingleInputName = inputName;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; m_SingleOutputName = outputName;</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a769404f2985a027a0d626fedfd4de1e9">Setup</a>();</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; }</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160;</div><div class="line"><a name="l00091"></a><span class="lineno"><a class="line" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a69fc8e7f42386fa67732cb8c98d8b024"> 91</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a69fc8e7f42386fa67732cb8c98d8b024">ReadStringToBinary</a>()</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; std::string schemafile(&amp;<a class="code" href="_schema_serialize_8hpp.xhtml#a0cc366ea2aac864a65b56f2c6e5dbcd0">deserialize_schema_start</a>, &amp;<a class="code" href="_schema_serialize_8hpp.xhtml#a535b75d8b7b9ae68d8c9de8937ebd8d8">deserialize_schema_end</a>);</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; <span class="comment">// parse schema first, so we can use it to parse the data after</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; flatbuffers::Parser parser;</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; <span class="keywordtype">bool</span> ok = parser.Parse(schemafile.c_str());</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; BOOST_ASSERT_MSG(ok, <span class="stringliteral">&quot;Failed to parse schema file&quot;</span>);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160;</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; ok &amp;= parser.Parse(m_JsonString.c_str());</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; BOOST_ASSERT_MSG(ok, <span class="stringliteral">&quot;Failed to parse json input&quot;</span>);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160;</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; <span class="keywordflow">if</span> (!ok)</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; {</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</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; {</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <span class="keyword">const</span> uint8_t* bufferPtr = parser.builder_.GetBufferPointer();</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <span class="keywordtype">size_t</span> size = <span class="keyword">static_cast&lt;</span><span class="keywordtype">size_t</span><span class="keyword">&gt;</span>(parser.builder_.GetSize());</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; m_GraphBinary.assign(bufferPtr, bufferPtr+size);</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; }</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; <span class="keywordflow">return</span> ok;</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; }</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160;<span class="comment"> /// Executes the network with the given input tensor and checks the result against the given output tensor.</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160;<span class="comment"> /// This overload assumes the network has a single input and a single output.</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160;<span class="comment"></span> <span class="keyword">template</span>&lt;std::size_t NumOutputDimensions,</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> ArmnnType,</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <span class="keyword">typename</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> = <a class="code" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType&lt;ArmnnType&gt;</a>&gt;</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <span class="keywordtype">void</span> <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a9e0ef357389fbb780ad5ecd979ac5e95">RunTest</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> layersId,</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="keyword">const</span> std::vector&lt;DataType&gt;&amp; inputData,</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; <span class="keyword">const</span> std::vector&lt;DataType&gt;&amp; expectedOutputData);</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160;</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; <span class="keyword">template</span>&lt;std::size_t NumOutputDimensions,</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> ArmnnInputType,</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> ArmnnOutputType,</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; <span class="keyword">typename</span> InputDataType = <a class="code" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType&lt;ArmnnInputType&gt;</a>,</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; <span class="keyword">typename</span> OutputDataType = <a class="code" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType&lt;ArmnnOutputType&gt;</a>&gt;</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; <span class="keywordtype">void</span> <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a9e0ef357389fbb780ad5ecd979ac5e95">RunTest</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> layersId,</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <span class="keyword">const</span> std::vector&lt;InputDataType&gt;&amp; inputData,</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; <span class="keyword">const</span> std::vector&lt;OutputDataType&gt;&amp; expectedOutputData);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160;<span class="comment"> /// Executes the network with the given input tensors and checks the results against the given output tensors.</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160;<span class="comment"> /// This overload supports multiple inputs and multiple outputs, identified by name.</span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160;<span class="comment"></span> <span class="keyword">template</span>&lt;std::size_t NumOutputDimensions,</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> ArmnnType,</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <span class="keyword">typename</span> DataType = <a class="code" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType&lt;ArmnnType&gt;</a>&gt;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <span class="keywordtype">void</span> <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a9e0ef357389fbb780ad5ecd979ac5e95">RunTest</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> layersId,</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;DataType&gt;&gt;&amp; inputData,</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;DataType&gt;&gt;&amp; expectedOutputData);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160;</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <span class="keyword">template</span>&lt;std::size_t NumOutputDimensions,</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> ArmnnInputType,</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> ArmnnOutputType,</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; <span class="keyword">typename</span> InputDataType = <a class="code" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType&lt;ArmnnInputType&gt;</a>,</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <span class="keyword">typename</span> OutputDataType = <a class="code" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType&lt;ArmnnOutputType&gt;</a>&gt;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; <span class="keywordtype">void</span> <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a9e0ef357389fbb780ad5ecd979ac5e95">RunTest</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> layersId,</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; <span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;InputDataType&gt;&gt;&amp; inputData,</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; <span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;OutputDataType&gt;&gt;&amp; expectedOutputData);</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160;</div><div class="line"><a name="l00153"></a><span class="lineno"><a class="line" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a2889be68b376ed9d92cd074610a24a8c"> 153</a></span>&#160; <span class="keywordtype">void</span> <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a2889be68b376ed9d92cd074610a24a8c">CheckTensors</a>(<span class="keyword">const</span> <a class="code" href="_parser_flatbuffers_serialize_fixture_8hpp.xhtml#a15c20a0693cd3fc4d85565e2f920d8ef">TensorRawPtr</a>&amp; tensors, <span class="keywordtype">size_t</span> shapeSize, <span class="keyword">const</span> std::vector&lt;int32_t&gt;&amp; shape,</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; armnnSerializer::TensorInfo tensorType, <span class="keyword">const</span> std::string&amp; name,</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> scale, <span class="keyword">const</span> int64_t zeroPoint)</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; {</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a>(name);</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; BOOST_CHECK_EQUAL(shapeSize, tensors-&gt;dimensions()-&gt;size());</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; BOOST_CHECK_EQUAL_COLLECTIONS(shape.begin(), shape.end(),</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; tensors-&gt;dimensions()-&gt;begin(), tensors-&gt;dimensions()-&gt;end());</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; BOOST_CHECK_EQUAL(tensorType.dataType(), tensors-&gt;dataType());</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; BOOST_CHECK_EQUAL(scale, tensors-&gt;quantizationScale());</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; BOOST_CHECK_EQUAL(zeroPoint, tensors-&gt;quantizationOffset());</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; }</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160;};</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160;</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160;<span class="keyword">template</span>&lt;std::<span class="keywordtype">size_t</span> NumOutputDimensions, armnn::DataType ArmnnType, <span class="keyword">typename</span> DataType&gt;</div><div class="line"><a name="l00168"></a><span class="lineno"><a class="line" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a9e0ef357389fbb780ad5ecd979ac5e95"> 168</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a9e0ef357389fbb780ad5ecd979ac5e95">ParserFlatbuffersSerializeFixture::RunTest</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> layersId,</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; <span class="keyword">const</span> std::vector&lt;DataType&gt;&amp; inputData,</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; <span class="keyword">const</span> std::vector&lt;DataType&gt;&amp; expectedOutputData)</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160;{</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; RunTest&lt;NumOutputDimensions, ArmnnType, ArmnnType, DataType, DataType&gt;(layersId, inputData, expectedOutputData);</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160;}</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160;</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160;<span class="keyword">template</span>&lt;std::size_t NumOutputDimensions,</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> ArmnnInputType,</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> ArmnnOutputType,</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; <span class="keyword">typename</span> InputDataType,</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; <span class="keyword">typename</span> OutputDataType&gt;</div><div class="line"><a name="l00180"></a><span class="lineno"><a class="line" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a04a887d03d9ae67300e40c738a495331"> 180</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a9e0ef357389fbb780ad5ecd979ac5e95">ParserFlatbuffersSerializeFixture::RunTest</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> layersId,</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; <span class="keyword">const</span> std::vector&lt;InputDataType&gt;&amp; inputData,</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; <span class="keyword">const</span> std::vector&lt;OutputDataType&gt;&amp; expectedOutputData)</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160;{</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; RunTest&lt;NumOutputDimensions, ArmnnInputType, ArmnnOutputType&gt;(layersId,</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; { { <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a2f8365158b7c75e43897fbe804b7fc4f">m_SingleInputName</a>, inputData } },</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; { { <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#add32b4d209a5b5d6ea6db94b9894ad75">m_SingleOutputName</a>, expectedOutputData } });</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160;}</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160;</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160;<span class="keyword">template</span>&lt;std::<span class="keywordtype">size_t</span> NumOutputDimensions, armnn::DataType ArmnnType, <span class="keyword">typename</span> DataType&gt;</div><div class="line"><a name="l00190"></a><span class="lineno"><a class="line" href="struct_parser_flatbuffers_serialize_fixture.xhtml#acc794a616d9a3096559e95e3b1a3d651"> 190</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a9e0ef357389fbb780ad5ecd979ac5e95">ParserFlatbuffersSerializeFixture::RunTest</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> layersId,</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; <span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;DataType&gt;&gt;&amp; inputData,</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; <span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;DataType&gt;&gt;&amp; expectedOutputData)</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160;{</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; RunTest&lt;NumOutputDimensions, ArmnnType, ArmnnType, DataType, DataType&gt;(layersId, inputData, expectedOutputData);</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160;}</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160;</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160;<span class="keyword">template</span>&lt;std::size_t NumOutputDimensions,</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> ArmnnInputType,</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> ArmnnOutputType,</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; <span class="keyword">typename</span> InputDataType,</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; <span class="keyword">typename</span> OutputDataType&gt;</div><div class="line"><a name="l00202"></a><span class="lineno"><a class="line" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a8dd0848c39b17c4401325390d170e24c"> 202</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a9e0ef357389fbb780ad5ecd979ac5e95">ParserFlatbuffersSerializeFixture::RunTest</a>(</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> layersId,</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; <span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;InputDataType&gt;&gt;&amp; inputData,</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; <span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;OutputDataType&gt;&gt;&amp; expectedOutputData)</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160;{</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; <span class="keyword">auto</span> ConvertBindingInfo = [](<span class="keyword">const</span> <a class="code" href="structarmnn_deserializer_1_1_binding_point_info.xhtml">armnnDeserializer::BindingPointInfo</a>&amp; bindingInfo)</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; {</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; <span class="keywordflow">return</span> std::make_pair(bindingInfo.m_BindingId, bindingInfo.m_TensorInfo);</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; };</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160;</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; <span class="comment">// Setup the armnn input tensors from the given vectors.</span></div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; <a class="code" href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a> inputTensors;</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp;&amp; it : inputData)</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; {</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; <a class="code" href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a> bindingInfo = ConvertBindingInfo(</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a1b4988dc1a728466d3f1b5b30513a97a">m_Parser</a>-&gt;GetNetworkInputBindingInfo(layersId, it.first));</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; <a class="code" href="namespacearmnn.xhtml#a9667bea652e3a5ef81fea59b71513ced">armnn::VerifyTensorInfoDataType</a>(bindingInfo.second, ArmnnInputType);</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; inputTensors.push_back({ bindingInfo.first, <a class="code" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a>(bindingInfo.second, it.second.data()) });</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; }</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160;</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; <span class="comment">// Allocate storage for the output tensors to be written to and setup the armnn output tensors.</span></div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; std::map&lt;std::string, boost::multi_array&lt;OutputDataType, NumOutputDimensions&gt;&gt; outputStorage;</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; <a class="code" href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a> outputTensors;</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp;&amp; it : expectedOutputData)</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; {</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; <a class="code" href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a> bindingInfo = ConvertBindingInfo(</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a1b4988dc1a728466d3f1b5b30513a97a">m_Parser</a>-&gt;GetNetworkOutputBindingInfo(layersId, it.first));</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; <a class="code" href="namespacearmnn.xhtml#a9667bea652e3a5ef81fea59b71513ced">armnn::VerifyTensorInfoDataType</a>(bindingInfo.second, ArmnnOutputType);</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; outputStorage.emplace(it.first, MakeTensor&lt;OutputDataType, NumOutputDimensions&gt;(bindingInfo.second));</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; outputTensors.push_back(</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; { bindingInfo.first, <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a>(bindingInfo.second, outputStorage.at(it.first).data()) });</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; }</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160;</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#aefd699eb0838261fbe9770d511f63f24">m_Runtime</a>-&gt;EnqueueWorkload(<a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a0b81fa34e5ca505b9880755f702fafe7">m_NetworkIdentifier</a>, inputTensors, outputTensors);</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160;</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; <span class="comment">// Compare each output tensor to the expected values</span></div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp;&amp; it : expectedOutputData)</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; {</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; <a class="code" href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a> bindingInfo = ConvertBindingInfo(</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160; <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a1b4988dc1a728466d3f1b5b30513a97a">m_Parser</a>-&gt;GetNetworkOutputBindingInfo(layersId, it.first));</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160; <span class="keyword">auto</span> outputExpected = MakeTensor&lt;OutputDataType, NumOutputDimensions&gt;(bindingInfo.second, it.second);</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; BOOST_TEST(<a class="code" href="_tensor_helpers_8hpp.xhtml#a0b8fbb443d2cf34a41f6aaae934e3dcb">CompareTensors</a>(outputExpected, outputStorage[it.first]));</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; }</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160;}</div><div class="ttc" id="_ignore_unused_8hpp_xhtml"><div class="ttname"><a href="_ignore_unused_8hpp.xhtml">IgnoreUnused.hpp</a></div></div>
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+<div class="ttc" id="namespacearmnn_xhtml_ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64"><div class="ttname"><a href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">armnn::Compute::CpuRef</a></div><div class="ttdoc">CPU Execution: Reference C++ kernels. </div></div>
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+<div class="ttc" id="struct_parser_flatbuffers_serialize_fixture_xhtml_a2bb4ea256fbbf6d53068ca93bb4bc95c"><div class="ttname"><a href="struct_parser_flatbuffers_serialize_fixture.xhtml#a2bb4ea256fbbf6d53068ca93bb4bc95c">ParserFlatbuffersSerializeFixture::SetupSingleInputSingleOutput</a></div><div class="ttdeci">void SetupSingleInputSingleOutput(const std::string &amp;inputName, const std::string &amp;outputName)</div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_serialize_fixture_8hpp_source.xhtml#l00083">ParserFlatbuffersSerializeFixture.hpp:83</a></div></div>
+<div class="ttc" id="struct_parser_flatbuffers_serialize_fixture_xhtml_accb0415cfdd9f1dbcf83d8e761edeb33"><div class="ttname"><a href="struct_parser_flatbuffers_serialize_fixture.xhtml#accb0415cfdd9f1dbcf83d8e761edeb33">ParserFlatbuffersSerializeFixture::ParserFlatbuffersSerializeFixture</a></div><div class="ttdeci">ParserFlatbuffersSerializeFixture()</div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_serialize_fixture_8hpp_source.xhtml#l00029">ParserFlatbuffersSerializeFixture.hpp:29</a></div></div>
+<div class="ttc" id="_tensor_helpers_8hpp_xhtml_a0b8fbb443d2cf34a41f6aaae934e3dcb"><div class="ttname"><a href="_tensor_helpers_8hpp.xhtml#a0b8fbb443d2cf34a41f6aaae934e3dcb">CompareTensors</a></div><div class="ttdeci">boost::test_tools::predicate_result CompareTensors(const boost::multi_array&lt; T, n &gt; &amp;a, const boost::multi_array&lt; T, n &gt; &amp;b, bool compareBoolean=false)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_helpers_8hpp_source.xhtml#l00075">TensorHelpers.hpp:75</a></div></div>
+<div class="ttc" id="struct_parser_flatbuffers_serialize_fixture_xhtml_a69fc8e7f42386fa67732cb8c98d8b024"><div class="ttname"><a href="struct_parser_flatbuffers_serialize_fixture.xhtml#a69fc8e7f42386fa67732cb8c98d8b024">ParserFlatbuffersSerializeFixture::ReadStringToBinary</a></div><div class="ttdeci">bool ReadStringToBinary()</div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_serialize_fixture_8hpp_source.xhtml#l00091">ParserFlatbuffersSerializeFixture.hpp:91</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a150468a02bd7b2d2d061c4aaaee939f0"><div class="ttname"><a href="namespacearmnn.xhtml#a150468a02bd7b2d2d061c4aaaee939f0">armnn::IRuntimePtr</a></div><div class="ttdeci">std::unique_ptr&lt; IRuntime, void(*)(IRuntime *runtime)&gt; IRuntimePtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00024">IRuntime.hpp:24</a></div></div>
+<div class="ttc" id="_i_runtime_8hpp_xhtml"><div class="ttname"><a href="_i_runtime_8hpp.xhtml">IRuntime.hpp</a></div></div>
+<div class="ttc" id="struct_parser_flatbuffers_serialize_fixture_xhtml_a0b81fa34e5ca505b9880755f702fafe7"><div class="ttname"><a href="struct_parser_flatbuffers_serialize_fixture.xhtml#a0b81fa34e5ca505b9880755f702fafe7">ParserFlatbuffersSerializeFixture::m_NetworkIdentifier</a></div><div class="ttdeci">armnn::NetworkId m_NetworkIdentifier</div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_serialize_fixture_8hpp_source.xhtml#l00040">ParserFlatbuffersSerializeFixture.hpp:40</a></div></div>
+<div class="ttc" id="struct_parser_flatbuffers_serialize_fixture_xhtml_a769404f2985a027a0d626fedfd4de1e9"><div class="ttname"><a href="struct_parser_flatbuffers_serialize_fixture.xhtml#a769404f2985a027a0d626fedfd4de1e9">ParserFlatbuffersSerializeFixture::Setup</a></div><div class="ttdeci">void Setup()</div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_serialize_fixture_8hpp_source.xhtml#l00047">ParserFlatbuffersSerializeFixture.hpp:47</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a0743ed5e860c316a20b68ca96301b411"><div class="ttname"><a href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a></div><div class="ttdeci">typename ResolveTypeImpl&lt; DT &gt;::Type ResolveType</div><div class="ttdef"><b>Definition:</b> <a href="_resolve_type_8hpp_source.xhtml#l00073">ResolveType.hpp:73</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_aa01bce88f89975a5a031db4cc8861527"><div class="ttname"><a href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a></div><div class="ttdeci">std::vector&lt; std::pair&lt; LayerBindingId, class ConstTensor &gt; &gt; InputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00225">Tensor.hpp:225</a></div></div>
+<div class="ttc" id="_resolve_type_8hpp_xhtml"><div class="ttname"><a href="_resolve_type_8hpp.xhtml">ResolveType.hpp</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a83015160d8c67d5d77735eb0d4033d9a"><div class="ttname"><a href="namespacearmnn.xhtml#a83015160d8c67d5d77735eb0d4033d9a">armnn::NetworkId</a></div><div class="ttdeci">int NetworkId</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00019">IRuntime.hpp:19</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2020 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00025">00_introduction.dox:25</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &amp;&amp;...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div>
+<div class="ttc" id="struct_parser_flatbuffers_serialize_fixture_xhtml_a1b4988dc1a728466d3f1b5b30513a97a"><div class="ttname"><a href="struct_parser_flatbuffers_serialize_fixture.xhtml#a1b4988dc1a728466d3f1b5b30513a97a">ParserFlatbuffersSerializeFixture::m_Parser</a></div><div class="ttdeci">std::unique_ptr&lt; IDeserializer, void(*)(IDeserializer *parser)&gt; m_Parser</div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_serialize_fixture_8hpp_source.xhtml#l00038">ParserFlatbuffersSerializeFixture.hpp:38</a></div></div>
+<div class="ttc" id="structarmnn_deserializer_1_1_binding_point_info_xhtml"><div class="ttname"><a href="structarmnn_deserializer_1_1_binding_point_info.xhtml">armnnDeserializer::BindingPointInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_deserializer_8hpp_source.xhtml#l00018">IDeserializer.hpp:18</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and a mutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00191">Tensor.hpp:191</a></div></div>
+<div class="ttc" id="_tensor_helpers_8hpp_xhtml"><div class="ttname"><a href="_tensor_helpers_8hpp.xhtml">TensorHelpers.hpp</a></div></div>
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+<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00032">Types.hpp:32</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a82e98ef05fd67036d1195ba17174d685"><div class="ttname"><a href="namespacearmnn.xhtml#a82e98ef05fd67036d1195ba17174d685">armnn::Optimize</a></div><div class="ttdeci">IOptimizedNetworkPtr Optimize(const INetwork &amp;network, const std::vector&lt; BackendId &gt; &amp;backendPreferences, const IDeviceSpec &amp;deviceSpec, const OptimizerOptions &amp;options=OptimizerOptions(), Optional&lt; std::vector&lt; std::string &gt; &amp;&gt; messages=EmptyOptional())</div><div class="ttdoc">Create an optimized version of the network. </div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00890">Network.cpp:890</a></div></div>
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+<div class="ttc" id="_schema_serialize_8hpp_xhtml"><div class="ttname"><a href="_schema_serialize_8hpp.xhtml">SchemaSerialize.hpp</a></div></div>
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+<div class="ttc" id="namespacearmnn_xhtml_a8f091a512915d1cb29a4ebf13dfc53ea"><div class="ttname"><a href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a></div><div class="ttdeci">std::vector&lt; std::pair&lt; LayerBindingId, class Tensor &gt; &gt; OutputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00226">Tensor.hpp:226</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdoc">enumeration </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00026">Types.hpp:26</a></div></div>
+<div class="ttc" id="struct_parser_flatbuffers_serialize_fixture_xhtml_aefd699eb0838261fbe9770d511f63f24"><div class="ttname"><a href="struct_parser_flatbuffers_serialize_fixture.xhtml#aefd699eb0838261fbe9770d511f63f24">ParserFlatbuffersSerializeFixture::m_Runtime</a></div><div class="ttdeci">armnn::IRuntimePtr m_Runtime</div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_serialize_fixture_8hpp_source.xhtml#l00039">ParserFlatbuffersSerializeFixture.hpp:39</a></div></div>
+<div class="ttc" id="struct_parser_flatbuffers_serialize_fixture_xhtml_add32b4d209a5b5d6ea6db94b9894ad75"><div class="ttname"><a href="struct_parser_flatbuffers_serialize_fixture.xhtml#add32b4d209a5b5d6ea6db94b9894ad75">ParserFlatbuffersSerializeFixture::m_SingleOutputName</a></div><div class="ttdeci">std::string m_SingleOutputName</div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_serialize_fixture_8hpp_source.xhtml#l00045">ParserFlatbuffersSerializeFixture.hpp:45</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a280670a263dc4fd40491f6d0a2737f44"><div class="ttname"><a href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a></div><div class="ttdeci">std::pair&lt; armnn::LayerBindingId, armnn::TensorInfo &gt; BindingPointInfo</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00146">Tensor.hpp:146</a></div></div>
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+<div class="ttc" id="_i_deserializer_8hpp_xhtml"><div class="ttname"><a href="_i_deserializer_8hpp.xhtml">IDeserializer.hpp</a></div></div>
+<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>
+<div class="ttc" id="_schema_serialize_8hpp_xhtml_a535b75d8b7b9ae68d8c9de8937ebd8d8"><div class="ttname"><a href="_schema_serialize_8hpp.xhtml#a535b75d8b7b9ae68d8c9de8937ebd8d8">deserialize_schema_end</a></div><div class="ttdeci">const char deserialize_schema_end</div></div>
+<div class="ttc" id="struct_parser_flatbuffers_serialize_fixture_xhtml_a803c86dca3acef653c1cc481a27be7a9"><div class="ttname"><a href="struct_parser_flatbuffers_serialize_fixture.xhtml#a803c86dca3acef653c1cc481a27be7a9">ParserFlatbuffersSerializeFixture::m_JsonString</a></div><div class="ttdeci">std::string m_JsonString</div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_serialize_fixture_8hpp_source.xhtml#l00037">ParserFlatbuffersSerializeFixture.hpp:37</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a9667bea652e3a5ef81fea59b71513ced"><div class="ttname"><a href="namespacearmnn.xhtml#a9667bea652e3a5ef81fea59b71513ced">armnn::VerifyTensorInfoDataType</a></div><div class="ttdeci">void VerifyTensorInfoDataType(const armnn::TensorInfo &amp;info, armnn::DataType dataType)</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.xhtml#l00296">TypesUtils.hpp:296</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_ace74f6f9feb95a964a49d79458232703"><div class="ttname"><a href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a></div><div class="ttdeci">std::unique_ptr&lt; INetwork, void(*)(INetwork *network)&gt; INetworkPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00101">INetwork.hpp:101</a></div></div>
+<div class="ttc" id="classarmnn_deserializer_1_1_i_deserializer_xhtml"><div class="ttname"><a href="classarmnn_deserializer_1_1_i_deserializer.xhtml">armnnDeserializer::IDeserializer</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_deserializer_8hpp_source.xhtml#l00027">IDeserializer.hpp:27</a></div></div>
+<div class="ttc" id="struct_parser_flatbuffers_serialize_fixture_xhtml_a9fbc789fd0aca759cb40737fdeb8ed63"><div class="ttname"><a href="struct_parser_flatbuffers_serialize_fixture.xhtml#a9fbc789fd0aca759cb40737fdeb8ed63">ParserFlatbuffersSerializeFixture::m_GraphBinary</a></div><div class="ttdeci">std::vector&lt; uint8_t &gt; m_GraphBinary</div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_serialize_fixture_8hpp_source.xhtml#l00036">ParserFlatbuffersSerializeFixture.hpp:36</a></div></div>
+<div class="ttc" id="struct_parser_flatbuffers_serialize_fixture_xhtml_a2f8365158b7c75e43897fbe804b7fc4f"><div class="ttname"><a href="struct_parser_flatbuffers_serialize_fixture.xhtml#a2f8365158b7c75e43897fbe804b7fc4f">ParserFlatbuffersSerializeFixture::m_SingleInputName</a></div><div class="ttdeci">std::string m_SingleInputName</div><div class="ttdoc">If the single-input-single-output overload of Setup() is called, these will store the input and outpu...</div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_serialize_fixture_8hpp_source.xhtml#l00044">ParserFlatbuffersSerializeFixture.hpp:44</a></div></div>
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