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<div class="title">TestInputs.cpp</div> </div>
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<a href="_test_inputs_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="preprocessor">#include <boost/test/unit_test.hpp></span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_i_caffe_parser_8hpp.xhtml">armnnCaffeParser/ICaffeParser.hpp</a>"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_i_runtime_8hpp.xhtml">armnn/IRuntime.hpp</a>"</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_i_network_8hpp.xhtml">armnn/INetwork.hpp</a>"</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include "<a class="code" href="_exceptions_8hpp.xhtml">armnn/Exceptions.hpp</a>"</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> </div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include "<a class="code" href="_tensor_helpers_8hpp.xhtml">test/TensorHelpers.hpp</a>"</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> </div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <string></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include "<a class="code" href="_parser_prototxt_fixture_8hpp.xhtml">ParserPrototxtFixture.hpp</a>"</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> </div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <a class="code" href="_output_shape_of_squeeze_8cpp.xhtml#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a>(CaffeParser)</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> </div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> </div><div class="line"><a name="l00020"></a><span class="lineno"><a class="line" href="_test_inputs_8cpp.xhtml#adcdb40b9138ac9b00e08ee5ba4721c0f"> 20</a></span> <a class="code" href="_test_inputs_8cpp.xhtml#adcdb40b9138ac9b00e08ee5ba4721c0f">BOOST_AUTO_TEST_CASE</a>(InputShapes)</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> {</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  std::string explicitInput = <span class="stringliteral">"name: \"Minimal\"\n"</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="stringliteral">"layer {\n"</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="stringliteral">" name: \"data\"\n"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="stringliteral">" type: \"Input\"\n"</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="stringliteral">" top: \"data\"\n"</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="stringliteral">" input_param { shape: { dim: 1 dim: 2 dim: 3 dim: 4 } }\n"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="stringliteral">"}"</span>;</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  std::string implicitInput = <span class="stringliteral">"name: \"Minimal\"\n"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="stringliteral">"input: \"data\" \n"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="stringliteral">"input_dim: 1 \n"</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="stringliteral">"input_dim: 2 \n"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="stringliteral">"input_dim: 3 \n"</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="stringliteral">"input_dim: 4 \n"</span>;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  std::string implicitInputNoShape = <span class="stringliteral">"name: \"Minimal\"\n"</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="stringliteral">"input: \"data\" \n"</span>;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> </div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <a class="code" href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml">armnn::IRuntime::CreationOptions</a> options;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <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>  <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>  <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>  <a class="code" href="namespacearmnn.xhtml#a83015160d8c67d5d77735eb0d4033d9a">armnn::NetworkId</a> netId;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> </div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="comment">// Check everything works normally</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  std::vector<armnn::BackendId> 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>  {</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  network = parser->CreateNetworkFromString(explicitInput.c_str(), {}, { <span class="stringliteral">"data"</span> });</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  BOOST_TEST(network.get());</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  runtime->LoadNetwork(netId, <a class="code" href="namespacearmnn.xhtml#a82e98ef05fd67036d1195ba17174d685">Optimize</a>(*network, backends, runtime->GetDeviceSpec()));</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <a class="code" href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnnCaffeParser::BindingPointInfo</a> inputBindingInfo = parser->GetNetworkInputBindingInfo(<span class="stringliteral">"data"</span>);</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <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>  BOOST_TEST((inputTensorInfo == runtime->GetInputTensorInfo(netId, inputBindingInfo.first)));</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  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>  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>  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>  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>  }</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="comment">// Checks everything works with implicit input.</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  {</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  network = parser->CreateNetworkFromString(implicitInput.c_str(), {}, { <span class="stringliteral">"data"</span> });</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  BOOST_TEST(network.get());</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  runtime->LoadNetwork(netId, <a class="code" href="namespacearmnn.xhtml#a82e98ef05fd67036d1195ba17174d685">Optimize</a>(*network, backends, runtime->GetDeviceSpec()));</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <a class="code" href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnnCaffeParser::BindingPointInfo</a> inputBindingInfo = parser->GetNetworkInputBindingInfo(<span class="stringliteral">"data"</span>);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <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>  BOOST_TEST((inputTensorInfo == runtime->GetInputTensorInfo(netId, inputBindingInfo.first)));</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  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>  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>  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>  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>  }</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> </div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <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>  {</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  network = parser->CreateNetworkFromString(implicitInput.c_str(), { {<span class="stringliteral">"data"</span>, { 2, 2, 3, 4 } } }, { <span class="stringliteral">"data"</span> });</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  BOOST_TEST(network.get());</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  runtime->LoadNetwork(netId, <a class="code" href="namespacearmnn.xhtml#a82e98ef05fd67036d1195ba17174d685">Optimize</a>(*network, backends, runtime->GetDeviceSpec()));</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> </div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnnCaffeParser::BindingPointInfo</a> inputBindingInfo = parser->GetNetworkInputBindingInfo(<span class="stringliteral">"data"</span>);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <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>  BOOST_TEST((inputTensorInfo == runtime->GetInputTensorInfo(netId, inputBindingInfo.first)));</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  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>  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>  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>  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>  }</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <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>  {</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  network = parser->CreateNetworkFromString(implicitInputNoShape.c_str(), {{<span class="stringliteral">"data"</span>, {2, 2, 3, 4} }}, { <span class="stringliteral">"data"</span> });</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  BOOST_TEST(network.get());</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  runtime->LoadNetwork(netId, <a class="code" href="namespacearmnn.xhtml#a82e98ef05fd67036d1195ba17174d685">Optimize</a>(*network, backends, runtime->GetDeviceSpec()));</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> </div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <a class="code" href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnnCaffeParser::BindingPointInfo</a> inputBindingInfo = parser->GetNetworkInputBindingInfo(<span class="stringliteral">"data"</span>);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <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>  BOOST_TEST((inputTensorInfo == runtime->GetInputTensorInfo(netId, inputBindingInfo.first)));</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> </div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  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>  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>  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>  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>  }</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> </div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="comment">// Checks exception on incompatible shapes.</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  {</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  BOOST_CHECK_THROW(parser->CreateNetworkFromString(implicitInput.c_str(), {{<span class="stringliteral">"data"</span>,{ 2, 2, 3, 2 }}}, {<span class="stringliteral">"data"</span>}),</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <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>  }</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> </div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="comment">// Checks exception when no shape available.</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  {</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  BOOST_CHECK_THROW(parser->CreateNetworkFromString(implicitInputNoShape.c_str(), {}, { <span class="stringliteral">"data"</span> }),</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <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>  }</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> }</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> </div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> <a class="code" href="_profiler_tests_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a>()</div><div class="ttc" id="_output_shape_of_squeeze_8cpp_xhtml_ae3a6cb217a792718f2bd0e8f45e3ca9e"><div class="ttname"><a href="_output_shape_of_squeeze_8cpp.xhtml#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a></div><div class="ttdeci">BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)</div></div>
<div class="ttc" id="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 &options)</div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.xhtml#l00037">Runtime.cpp:37</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 & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00187">Tensor.hpp:187</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#l00152">Tensor.hpp:152</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< IRuntime, void(*)(IRuntime *runtime)> IRuntimePtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00026">IRuntime.hpp:26</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="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#l00020">IRuntime.hpp:20</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>
<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 &network, const std::vector< BackendId > &backendPreferences, const IDeviceSpec &deviceSpec, const OptimizerOptions &options=OptimizerOptions(), Optional< std::vector< std::string > &> 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#l01502">Network.cpp:1502</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#l00075">CaffeParser.cpp:75</a></div></div>
<div class="ttc" id="_parser_prototxt_fixture_8hpp_xhtml"><div class="ttname"><a href="_parser_prototxt_fixture_8hpp.xhtml">ParserPrototxtFixture.hpp</a></div></div>
<div class="ttc" id="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< ICaffeParser, void(*)(ICaffeParser *parser)> 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="_i_network_8hpp_xhtml"><div class="ttname"><a href="_i_network_8hpp.xhtml">INetwork.hpp</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#l00043">IRuntime.hpp:43</a></div></div>
<div class="ttc" id="_profiler_tests_8cpp_xhtml_af7f71af5c6c124222dd1c42c5df892f4"><div class="ttname"><a href="_profiler_tests_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a></div><div class="ttdeci">BOOST_AUTO_TEST_SUITE_END()</div></div>
<div class="ttc" id="classarmnn_1_1_parse_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_parse_exception.xhtml">armnn::ParseException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00092">Exceptions.hpp:92</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a280670a263dc4fd40491f6d0a2737f44"><div class="ttname"><a href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a></div><div class="ttdeci">std::pair< armnn::LayerBindingId, armnn::TensorInfo > BindingPointInfo</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00261">Tensor.hpp:261</a></div></div>
<div class="ttc" id="_test_inputs_8cpp_xhtml_adcdb40b9138ac9b00e08ee5ba4721c0f"><div class="ttname"><a href="_test_inputs_8cpp.xhtml#adcdb40b9138ac9b00e08ee5ba4721c0f">BOOST_AUTO_TEST_CASE</a></div><div class="ttdeci">BOOST_AUTO_TEST_CASE(InputShapes)</div><div class="ttdef"><b>Definition:</b> <a href="_test_inputs_8cpp_source.xhtml#l00020">TestInputs.cpp:20</a></div></div>
<div class="ttc" id="_exceptions_8hpp_xhtml"><div class="ttname"><a href="_exceptions_8hpp.xhtml">Exceptions.hpp</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< INetwork, void(*)(INetwork *network)> INetworkPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00173">INetwork.hpp:173</a></div></div>
<div class="ttc" id="_i_caffe_parser_8hpp_xhtml"><div class="ttname"><a href="_i_caffe_parser_8hpp.xhtml">ICaffeParser.hpp</a></div></div>
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