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<div class="textblock"><code>#include &lt;boost/test/unit_test.hpp&gt;</code><br />
<code>#include &quot;<a class="el" href="_i_caffe_parser_8hpp_source.xhtml">armnnCaffeParser/ICaffeParser.hpp</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="_i_runtime_8hpp_source.xhtml">armnn/IRuntime.hpp</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="_i_network_8hpp_source.xhtml">armnn/INetwork.hpp</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="_exceptions_8hpp_source.xhtml">armnn/Exceptions.hpp</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="_tensor_helpers_8hpp_source.xhtml">test/TensorHelpers.hpp</a>&quot;</code><br />
<code>#include &lt;string&gt;</code><br />
<code>#include &quot;<a class="el" href="_parser_prototxt_fixture_8hpp_source.xhtml">ParserPrototxtFixture.hpp</a>&quot;</code><br />
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<h2 class="memtitle"><span class="permalink"><a href="#adcdb40b9138ac9b00e08ee5ba4721c0f">&#9670;&nbsp;</a></span>BOOST_AUTO_TEST_CASE()</h2>
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<td class="memname">BOOST_AUTO_TEST_CASE </td>
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<p class="definition">Definition at line <a class="el" href="_test_inputs_8cpp_source.xhtml#l00020">20</a> of file <a class="el" href="_test_inputs_8cpp_source.xhtml">TestInputs.cpp</a>.</p>
<p class="reference">References <a class="el" href="_profiler_tests_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END()</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">armnn::CpuRef</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l00264">ICaffeParser::Create()</a>, <a class="el" href="_runtime_8cpp_source.xhtml#l00032">IRuntime::Create()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00088">TensorInfo::GetShape()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00890">armnn::Optimize()</a>, and <a class="el" href="_file_only_profiling_decorator_tests_8cpp_source.xhtml#l00045">options</a>.</p>
<div class="fragment"><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;{</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; std::string explicitInput = <span class="stringliteral">&quot;name: \&quot;Minimal\&quot;\n&quot;</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; <span class="stringliteral">&quot;layer {\n&quot;</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; <span class="stringliteral">&quot; name: \&quot;data\&quot;\n&quot;</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; <span class="stringliteral">&quot; type: \&quot;Input\&quot;\n&quot;</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; <span class="stringliteral">&quot; top: \&quot;data\&quot;\n&quot;</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; <span class="stringliteral">&quot; input_param { shape: { dim: 1 dim: 2 dim: 3 dim: 4 } }\n&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; <span class="stringliteral">&quot;}&quot;</span>;</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; std::string implicitInput = <span class="stringliteral">&quot;name: \&quot;Minimal\&quot;\n&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; <span class="stringliteral">&quot;input: \&quot;data\&quot; \n&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; <span class="stringliteral">&quot;input_dim: 1 \n&quot;</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; <span class="stringliteral">&quot;input_dim: 2 \n&quot;</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; <span class="stringliteral">&quot;input_dim: 3 \n&quot;</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; <span class="stringliteral">&quot;input_dim: 4 \n&quot;</span>;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; std::string implicitInputNoShape = <span class="stringliteral">&quot;name: \&quot;Minimal\&quot;\n&quot;</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <span class="stringliteral">&quot;input: \&quot;data\&quot; \n&quot;</span>;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <a class="code" href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml">armnn::IRuntime::CreationOptions</a> <a class="code" href="_file_only_profiling_decorator_tests_8cpp.xhtml#a6560146509197f3e197d8d36f76c1347">options</a>;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <a class="code" href="namespacearmnn.xhtml#a150468a02bd7b2d2d061c4aaaee939f0">armnn::IRuntimePtr</a> runtime(<a class="code" href="classarmnn_1_1_i_runtime.xhtml#ad44ecd3700748dc30dc4bbe34ba5bde7">armnn::IRuntime::Create</a>(options));</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <a class="code" href="namespacearmnn_caffe_parser.xhtml#a33c76910f1980ffaa41c22e0151cce2a">armnnCaffeParser::ICaffeParserPtr</a> parser(<a class="code" href="classarmnn_caffe_parser_1_1_i_caffe_parser.xhtml#abd42446e41480b0cc9df7ce06af412e3">armnnCaffeParser::ICaffeParser::Create</a>());</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> network(<span class="keyword">nullptr</span>, <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; <a class="code" href="namespacearmnn.xhtml#a83015160d8c67d5d77735eb0d4033d9a">armnn::NetworkId</a> netId;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; <span class="comment">// Check everything works normally</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; std::vector&lt;armnn::BackendId&gt; backends = {<a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">armnn::Compute::CpuRef</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"> 47</span>&#160; network = parser-&gt;CreateNetworkFromString(explicitInput.c_str(), {}, { <span class="stringliteral">&quot;data&quot;</span> });</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; BOOST_TEST(network.get());</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; runtime-&gt;LoadNetwork(netId, <a class="code" href="namespacearmnn.xhtml#a82e98ef05fd67036d1195ba17174d685">Optimize</a>(*network, backends, runtime-&gt;GetDeviceSpec()));</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <a class="code" href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnnCaffeParser::BindingPointInfo</a> inputBindingInfo = parser-&gt;GetNetworkInputBindingInfo(<span class="stringliteral">&quot;data&quot;</span>);</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo = inputBindingInfo.second;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; BOOST_TEST((inputTensorInfo == runtime-&gt;GetInputTensorInfo(netId, inputBindingInfo.first)));</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; BOOST_TEST(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0] == 1);</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; BOOST_TEST(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[1] == 2);</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; BOOST_TEST(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[2] == 3);</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; BOOST_TEST(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[3] == 4);</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;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <span class="comment">// Checks everything works with implicit input.</span></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; network = parser-&gt;CreateNetworkFromString(implicitInput.c_str(), {}, { <span class="stringliteral">&quot;data&quot;</span> });</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; BOOST_TEST(network.get());</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; runtime-&gt;LoadNetwork(netId, <a class="code" href="namespacearmnn.xhtml#a82e98ef05fd67036d1195ba17174d685">Optimize</a>(*network, backends, runtime-&gt;GetDeviceSpec()));</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <a class="code" href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnnCaffeParser::BindingPointInfo</a> inputBindingInfo = parser-&gt;GetNetworkInputBindingInfo(<span class="stringliteral">&quot;data&quot;</span>);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo = inputBindingInfo.second;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; BOOST_TEST((inputTensorInfo == runtime-&gt;GetInputTensorInfo(netId, inputBindingInfo.first)));</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; BOOST_TEST(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0] == 1);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; BOOST_TEST(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[1] == 2);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; BOOST_TEST(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[2] == 3);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; BOOST_TEST(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[3] == 4);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; }</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="comment">// Checks everything works with implicit and passing shape.</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; {</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; network = parser-&gt;CreateNetworkFromString(implicitInput.c_str(), { {<span class="stringliteral">&quot;data&quot;</span>, { 2, 2, 3, 4 } } }, { <span class="stringliteral">&quot;data&quot;</span> });</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; BOOST_TEST(network.get());</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; runtime-&gt;LoadNetwork(netId, <a class="code" href="namespacearmnn.xhtml#a82e98ef05fd67036d1195ba17174d685">Optimize</a>(*network, backends, runtime-&gt;GetDeviceSpec()));</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"> 83</span>&#160; <a class="code" href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnnCaffeParser::BindingPointInfo</a> inputBindingInfo = parser-&gt;GetNetworkInputBindingInfo(<span class="stringliteral">&quot;data&quot;</span>);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo = inputBindingInfo.second;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; BOOST_TEST((inputTensorInfo == runtime-&gt;GetInputTensorInfo(netId, inputBindingInfo.first)));</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; BOOST_TEST(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0] == 2);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; BOOST_TEST(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[1] == 2);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; BOOST_TEST(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[2] == 3);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; BOOST_TEST(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[3] == 4);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; }</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="comment">// Checks everything works with implicit (no shape) and passing shape.</span></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; network = parser-&gt;CreateNetworkFromString(implicitInputNoShape.c_str(), {{<span class="stringliteral">&quot;data&quot;</span>, {2, 2, 3, 4} }}, { <span class="stringliteral">&quot;data&quot;</span> });</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; BOOST_TEST(network.get());</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; runtime-&gt;LoadNetwork(netId, <a class="code" href="namespacearmnn.xhtml#a82e98ef05fd67036d1195ba17174d685">Optimize</a>(*network, backends, runtime-&gt;GetDeviceSpec()));</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; <a class="code" href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnnCaffeParser::BindingPointInfo</a> inputBindingInfo = parser-&gt;GetNetworkInputBindingInfo(<span class="stringliteral">&quot;data&quot;</span>);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo = inputBindingInfo.second;</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; BOOST_TEST((inputTensorInfo == runtime-&gt;GetInputTensorInfo(netId, inputBindingInfo.first)));</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; BOOST_TEST(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0] == 2);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; BOOST_TEST(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[1] == 2);</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; BOOST_TEST(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[2] == 3);</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; BOOST_TEST(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[3] == 4);</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; <span class="comment">// Checks exception on incompatible shapes.</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; BOOST_CHECK_THROW(parser-&gt;CreateNetworkFromString(implicitInput.c_str(), {{<span class="stringliteral">&quot;data&quot;</span>,{ 2, 2, 3, 2 }}}, {<span class="stringliteral">&quot;data&quot;</span>}),</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <a class="code" href="classarmnn_1_1_parse_exception.xhtml">armnn::ParseException</a>);</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;</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; <span class="comment">// Checks exception when no shape available.</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; {</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; BOOST_CHECK_THROW(parser-&gt;CreateNetworkFromString(implicitInputNoShape.c_str(), {}, { <span class="stringliteral">&quot;data&quot;</span> }),</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; <a class="code" href="classarmnn_1_1_parse_exception.xhtml">armnn::ParseException</a>);</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;}</div><div class="ttc" id="classarmnn_1_1_i_runtime_xhtml_ad44ecd3700748dc30dc4bbe34ba5bde7"><div class="ttname"><a href="classarmnn_1_1_i_runtime.xhtml#ad44ecd3700748dc30dc4bbe34ba5bde7">armnn::IRuntime::Create</a></div><div class="ttdeci">static IRuntimePtr Create(const CreationOptions &amp;options)</div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.xhtml#l00032">Runtime.cpp:32</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00088">Tensor.hpp:88</a></div></div>
<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>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</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="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_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>
<div class="ttc" id="classarmnn_caffe_parser_1_1_i_caffe_parser_xhtml_abd42446e41480b0cc9df7ce06af412e3"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_i_caffe_parser.xhtml#abd42446e41480b0cc9df7ce06af412e3">armnnCaffeParser::ICaffeParser::Create</a></div><div class="ttdeci">static ICaffeParserPtr Create()</div><div class="ttdef"><b>Definition:</b> <a href="_caffe_parser_8cpp_source.xhtml#l00264">CaffeParser.cpp:264</a></div></div>
<div class="ttc" id="namespacearmnn_caffe_parser_xhtml_a33c76910f1980ffaa41c22e0151cce2a"><div class="ttname"><a href="namespacearmnn_caffe_parser.xhtml#a33c76910f1980ffaa41c22e0151cce2a">armnnCaffeParser::ICaffeParserPtr</a></div><div class="ttdeci">std::unique_ptr&lt; ICaffeParser, void(*)(ICaffeParser *parser)&gt; ICaffeParserPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_caffe_parser_8hpp_source.xhtml#l00022">ICaffeParser.hpp:22</a></div></div>
<div class="ttc" id="structarmnn_1_1_i_runtime_1_1_creation_options_xhtml"><div class="ttname"><a href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml">armnn::IRuntime::CreationOptions</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00041">IRuntime.hpp:41</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_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>
<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="_file_only_profiling_decorator_tests_8cpp_xhtml_a6560146509197f3e197d8d36f76c1347"><div class="ttname"><a href="_file_only_profiling_decorator_tests_8cpp.xhtml#a6560146509197f3e197d8d36f76c1347">options</a></div><div class="ttdeci">armnn::Runtime::CreationOptions::ExternalProfilingOptions options</div><div class="ttdef"><b>Definition:</b> <a href="_file_only_profiling_decorator_tests_8cpp_source.xhtml#l00045">FileOnlyProfilingDecoratorTests.cpp:45</a></div></div>
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