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<a href="_network_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 © 2017-2023 Arm Ltd and Contributors. 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>  </div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_network_8hpp.xhtml">Network.hpp</a>"</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_graph_8hpp.xhtml">Graph.hpp</a>"</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_layer_8hpp.xhtml">Layer.hpp</a>"</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include "<a class="code" href="_device_spec_8hpp.xhtml">DeviceSpec.hpp</a>"</span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include "<a class="code" href="_optimizer_8hpp.xhtml">Optimizer.hpp</a>"</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include "<a class="code" href="_subgraph_view_selector_8hpp.xhtml">SubgraphViewSelector.hpp</a>"</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include "<a class="code" href="_backend_settings_8hpp.xhtml">BackendSettings.hpp</a>"</span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include "<a class="code" href="_all_8hpp.xhtml">optimizations/All.hpp</a>"</span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include "<a class="code" href="_filesystem_8hpp.xhtml">armnnUtils/Filesystem.hpp</a>"</span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include "<a class="code" href="_timer_8hpp.xhtml">armnn/utility/Timer.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> <span class="preprocessor">#include <<a class="code" href="_tensor_handle_8hpp.xhtml">armnn/backends/TensorHandle.hpp</a>></span></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="preprocessor">#include <<a class="code" href="_workload_factory_8hpp.xhtml">armnn/backends/WorkloadFactory.hpp</a>></span></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="preprocessor">#include <<a class="code" href="_i_backend_internal_8hpp.xhtml">armnn/backends/IBackendInternal.hpp</a>></span></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="preprocessor">#include <<a class="code" href="_tensor_handle_factory_registry_8hpp.xhtml">backendsCommon/TensorHandleFactoryRegistry.hpp</a>></span></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> <span class="preprocessor">#include <<a class="code" href="_exceptions_8hpp.xhtml">armnn/Exceptions.hpp</a>></span></div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="preprocessor">#include <<a class="code" href="_types_utils_8hpp.xhtml">armnn/TypesUtils.hpp</a>></span></div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include <<a class="code" href="_backend_registry_8hpp.xhtml">armnn/BackendRegistry.hpp</a>></span></div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include <<a class="code" href="_logging_8hpp.xhtml">armnn/Logging.hpp</a>></span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include <<a class="code" href="_assert_8hpp.xhtml">armnn/utility/Assert.hpp</a>></span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include <<a class="code" href="_ignore_unused_8hpp.xhtml">armnn/utility/IgnoreUnused.hpp</a>></span></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include <<a class="code" href="_polymorphic_downcast_8hpp.xhtml">armnn/utility/PolymorphicDowncast.hpp</a>></span></div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  </div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include <client/include/IProfilingService.hpp></span></div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  </div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include <common/include/ProfilingGuid.hpp></span></div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  </div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include <fmt/format.h></span></div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  </div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include <fcntl.h></span></div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include <algorithm></span></div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#include <memory></span></div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#include <vector></span></div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  </div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> {</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  </div>
<div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a2d936beb0fcf3c5d22ff332f0812b05e"> 44</a></span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a2d936beb0fcf3c5d22ff332f0812b05e">INetwork::INetwork</a>(<a class="code" href="namespacearmnn.xhtml#a4de71c3661093e5c4ae7775114f43413">NetworkOptions</a> networkOptions) : pNetworkImpl(new <a class="code" href="classarmnn_1_1_network_impl.xhtml">NetworkImpl</a>(networkOptions)) {}</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  </div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#af760179196d57e2ddbc64b989fb72586">INetwork::~INetwork</a>() = <span class="keywordflow">default</span>;</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  </div>
<div class="line"><a name="l00048"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a58fbf98b638ebabb8bad26760f20a554"> 48</a></span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a58fbf98b638ebabb8bad26760f20a554">OptimizerOptionsOpaque::OptimizerOptionsOpaque</a>()</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  : p_OptimizerOptionsImpl(<a class="code" href="namespacestd.xhtml">std</a>::make_unique<<a class="code" href="structarmnn_1_1_optimizer_options_opaque_impl.xhtml">OptimizerOptionsOpaqueImpl</a>>())</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> }</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  </div>
<div class="line"><a name="l00053"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a2fb40bb826b5ecdeb999e13126215782"> 53</a></span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a58fbf98b638ebabb8bad26760f20a554">OptimizerOptionsOpaque::OptimizerOptionsOpaque</a>(<a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml">OptimizerOptionsOpaque</a> <span class="keyword">const</span> &other)</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  : p_OptimizerOptionsImpl(<a class="code" href="namespacestd.xhtml">std</a>::make_unique<<a class="code" href="structarmnn_1_1_optimizer_options_opaque_impl.xhtml">OptimizerOptionsOpaqueImpl</a>>(*other.p_OptimizerOptionsImpl))</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span> {</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span> }</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  </div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a05c07a263bb054a828db2fe3f841e31f">OptimizerOptionsOpaque::~OptimizerOptionsOpaque</a>() = <span class="keywordflow">default</span>;</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  </div>
<div class="line"><a name="l00060"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.xhtml#af3b3e17e6f79fadd438805fe13956b98"> 60</a></span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a58fbf98b638ebabb8bad26760f20a554">OptimizerOptionsOpaque::OptimizerOptionsOpaque</a>(<span class="keywordtype">bool</span> reduceFp32ToFp16, <span class="keywordtype">bool</span> debug, <span class="keywordtype">bool</span> reduceFp32ToBf16,</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordtype">bool</span> importEnabled, <a class="code" href="namespacearmnn.xhtml#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> modelOptions, <span class="keywordtype">bool</span> exportEnabled,</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordtype">bool</span> debugToFile)</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  : p_OptimizerOptionsImpl(<a class="code" href="namespacestd.xhtml">std</a>::make_unique<<a class="code" href="structarmnn_1_1_optimizer_options_opaque_impl.xhtml">OptimizerOptionsOpaqueImpl</a>>(reduceFp32ToFp16, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407aad42f6697b035b7580e4fef93be20b4d">debug</a>, reduceFp32ToBf16,</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  importEnabled, modelOptions,</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  exportEnabled, debugToFile))</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> }</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  </div>
<div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a5a5cbe61a397febcbfb296429696e495"> 69</a></span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a58fbf98b638ebabb8bad26760f20a554">OptimizerOptionsOpaque::OptimizerOptionsOpaque</a>(<span class="keywordtype">bool</span> reduceFp32ToFp16, <span class="keywordtype">bool</span> debug, <span class="keywordtype">bool</span> reduceFp32ToBf16,</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <a class="code" href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9">ShapeInferenceMethod</a> shapeInferenceMethod,</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordtype">bool</span> importEnabled, <a class="code" href="namespacearmnn.xhtml#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> modelOptions, <span class="keywordtype">bool</span> exportEnabled,</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordtype">bool</span> debugToFile, <span class="keywordtype">bool</span> allowExpandedDims)</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  : p_OptimizerOptionsImpl(<a class="code" href="namespacestd.xhtml">std</a>::make_unique<<a class="code" href="structarmnn_1_1_optimizer_options_opaque_impl.xhtml">OptimizerOptionsOpaqueImpl</a>>(reduceFp32ToFp16, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407aad42f6697b035b7580e4fef93be20b4d">debug</a>, reduceFp32ToBf16,</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  shapeInferenceMethod, importEnabled,</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  modelOptions, exportEnabled,</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  debugToFile, allowExpandedDims))</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</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>  </div>
<div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a5cb3fac3482393c675a885e6bfd98ce6"> 80</a></span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a58fbf98b638ebabb8bad26760f20a554">OptimizerOptionsOpaque::OptimizerOptionsOpaque</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_optimizer_options.xhtml">OptimizerOptions</a>& OptimizerStruct)</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  : p_OptimizerOptionsImpl(<a class="code" href="namespacestd.xhtml">std</a>::make_unique<<a class="code" href="structarmnn_1_1_optimizer_options_opaque_impl.xhtml">OptimizerOptionsOpaqueImpl</a>>())</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>  p_OptimizerOptionsImpl->m_ImportEnabled = OptimizerStruct.<a class="code" href="structarmnn_1_1_optimizer_options.xhtml#a05c1bba6ba3ecc1339d4c4c10c0d8890">m_ImportEnabled</a>;</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  p_OptimizerOptionsImpl->m_shapeInferenceMethod = OptimizerStruct.<a class="code" href="structarmnn_1_1_optimizer_options.xhtml#a9416d94a8aad7cdfa47eb35e825cbda5">m_shapeInferenceMethod</a>;</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  p_OptimizerOptionsImpl->m_ModelOptions = OptimizerStruct.<a class="code" href="structarmnn_1_1_optimizer_options.xhtml#a71194277c60153a5f86539f5d39f01db">m_ModelOptions</a>;</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  p_OptimizerOptionsImpl->m_ProfilingEnabled = OptimizerStruct.<a class="code" href="structarmnn_1_1_optimizer_options.xhtml#a1b1892da2aaf7eaedaa38671d56b7f19">m_ProfilingEnabled</a>;</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  p_OptimizerOptionsImpl->m_DebugToFile = OptimizerStruct.<a class="code" href="structarmnn_1_1_optimizer_options.xhtml#afc07add3304c3d79293acb881c2168df">m_DebugToFile</a>;</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  p_OptimizerOptionsImpl->m_Debug = OptimizerStruct.<a class="code" href="structarmnn_1_1_optimizer_options.xhtml#a69eb14082d40fa0a3cff50457344a5e0">m_Debug</a>;</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  p_OptimizerOptionsImpl->m_ReduceFp32ToFp16 = OptimizerStruct.<a class="code" href="structarmnn_1_1_optimizer_options.xhtml#a6e1a42622ca43dafc7ba8e684c016eb4">m_ReduceFp32ToFp16</a>;</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  p_OptimizerOptionsImpl->m_ExportEnabled = OptimizerStruct.<a class="code" href="structarmnn_1_1_optimizer_options.xhtml#a0054f53e4e70bb39c000bcf240627b18">m_ExportEnabled</a>;</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  p_OptimizerOptionsImpl->m_AllowExpandedDims = OptimizerStruct.<a class="code" href="structarmnn_1_1_optimizer_options.xhtml#a9ef8ddbeee4b869e4c68eb2ed278b8d9">m_AllowExpandedDims</a>;</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  p_OptimizerOptionsImpl->m_ReduceFp32ToBf16 = OptimizerStruct.<a class="code" href="structarmnn_1_1_optimizer_options.xhtml#a11f463726addcc1d2845266997d79e9c">m_ReduceFp32ToBf16</a>;</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</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"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a2bb6d411e26a7eb77664bd7040e7e8ab"> 95</a></span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml">OptimizerOptionsOpaque</a>& <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a2bb6d411e26a7eb77664bd7040e7e8ab">OptimizerOptionsOpaque::operator= </a>(<a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml">OptimizerOptionsOpaque</a> other)</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span> {</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  p_OptimizerOptionsImpl->m_ImportEnabled = other.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a3cb5ef29e47f60acd88b16d6fee254f5">GetImportEnabled</a>();</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  p_OptimizerOptionsImpl->m_shapeInferenceMethod = other.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a4d0994094ec68328df73a00304fb4af6">GetShapeInferenceMethod</a>();</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  p_OptimizerOptionsImpl->m_ModelOptions = other.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#aac024dacf704e6933d1a6b18d5330738">GetModelOptions</a>();</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  p_OptimizerOptionsImpl->m_ProfilingEnabled = other.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a4527a67076f983e8db3496207d120fb5">GetProfilingEnabled</a>();</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  p_OptimizerOptionsImpl->m_DebugToFile = other.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a8933eb842c6152f61535b69bd37c867e">GetDebugToFileEnabled</a>();</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  p_OptimizerOptionsImpl->m_Debug = other.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a5c25504e5efe52a17f5b0ca45753aaf0">GetDebugEnabled</a>();</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  p_OptimizerOptionsImpl->m_ReduceFp32ToFp16 = other.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a70dc46a7e4105cf24df5a5bb58ae07a5">GetReduceFp32ToFp16</a>();</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  p_OptimizerOptionsImpl->m_ExportEnabled = other.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#af7a1f38591d1a19952ac13515becc894">GetExportEnabled</a>();</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  p_OptimizerOptionsImpl->m_AllowExpandedDims = other.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#ad6f282c92535e2be398a9b350d4e2ee9">GetAllowExpandedDims</a>();</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  p_OptimizerOptionsImpl->m_ReduceFp32ToBf16 = other.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a41297bcbc0f576cba32fabcdb2f893b8">GetReduceFp32ToBf16</a>();</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordflow">return</span> *<span class="keyword">this</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>  </div>
<div class="line"><a name="l00110"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a9258f2763407b5dec4c88f7f6109cbd7"> 110</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a9258f2763407b5dec4c88f7f6109cbd7">OptimizerOptionsOpaque::SetImportEnabled</a>(<span class="keywordtype">bool</span> ImportState)</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span> {</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  p_OptimizerOptionsImpl->m_ImportEnabled = ImportState;</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"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a8c0b43721b8e82c9518e4a53b47c78e4"> 115</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a8c0b43721b8e82c9518e4a53b47c78e4">OptimizerOptionsOpaque::SetExportEnabled</a>(<span class="keywordtype">bool</span> ExportState)</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>  p_OptimizerOptionsImpl->m_ExportEnabled = ExportState;</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span> }</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  </div>
<div class="line"><a name="l00120"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a78aff12fa10e9a2df9989a469ba0b7bd"> 120</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a78aff12fa10e9a2df9989a469ba0b7bd">OptimizerOptionsOpaque::SetProfilingEnabled</a>(<span class="keywordtype">bool</span> ProfilingState)</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>  p_OptimizerOptionsImpl->m_ProfilingEnabled = ProfilingState;</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span> }</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  </div>
<div class="line"><a name="l00125"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a2559eecf0b1317953b2ec24e83d0f0b4"> 125</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a2559eecf0b1317953b2ec24e83d0f0b4">OptimizerOptionsOpaque::SetDebugEnabled</a>(<span class="keywordtype">bool</span> DebugState)</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span> {</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  p_OptimizerOptionsImpl->m_Debug = DebugState;</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span> }</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  </div>
<div class="line"><a name="l00130"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a8a2218764dede9c24b0e52833469b5fe"> 130</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a8a2218764dede9c24b0e52833469b5fe">OptimizerOptionsOpaque::SetDebugToFileEnabled</a>(<span class="keywordtype">bool</span> DebugFileState)</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span> {</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  p_OptimizerOptionsImpl->m_DebugToFile = DebugFileState;</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span> }</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  </div>
<div class="line"><a name="l00135"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a4c8ca1fa6bed9a68a78ab00f02d0fb38"> 135</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a4c8ca1fa6bed9a68a78ab00f02d0fb38">OptimizerOptionsOpaque::SetReduceFp32ToFp16</a>(<span class="keywordtype">bool</span> ReduceFp32ToFp16State)</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span> {</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  p_OptimizerOptionsImpl->m_ReduceFp32ToFp16 = ReduceFp32ToFp16State;</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span> }</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  </div>
<div class="line"><a name="l00140"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.xhtml#acad25c09a856d551c88b183f08edc2c1"> 140</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#acad25c09a856d551c88b183f08edc2c1">OptimizerOptionsOpaque::SetShapeInferenceMethod</a>(<a class="code" href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9">armnn::ShapeInferenceMethod</a> ShapeInferenceMethodType)</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span> {</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  p_OptimizerOptionsImpl->m_shapeInferenceMethod = ShapeInferenceMethodType;</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span> }</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  </div>
<div class="line"><a name="l00145"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a5a864f9b972da52f3ca9028f1c8ee44a"> 145</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a5a864f9b972da52f3ca9028f1c8ee44a">OptimizerOptionsOpaque::SetAllowExpandedDims</a>(<span class="keywordtype">bool</span> ExpandedDimsAllowed)</div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span> {</div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  p_OptimizerOptionsImpl->m_AllowExpandedDims = ExpandedDimsAllowed;</div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span> }</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  </div>
<div class="line"><a name="l00150"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a1ad03005dfb602c109a1b4fed7fca9e3"> 150</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a1ad03005dfb602c109a1b4fed7fca9e3">OptimizerOptionsOpaque::AddModelOption</a>(<a class="code" href="structarmnn_1_1_backend_options.xhtml">armnn::BackendOptions</a> NewModelOption)</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span> {</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  p_OptimizerOptionsImpl->m_ModelOptions.push_back(NewModelOption);</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span> }</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  </div>
<div class="line"><a name="l00155"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a4527a67076f983e8db3496207d120fb5"> 155</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a4527a67076f983e8db3496207d120fb5">OptimizerOptionsOpaque::GetProfilingEnabled</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keywordflow">return</span> p_OptimizerOptionsImpl->m_ProfilingEnabled;</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span> };</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  </div>
<div class="line"><a name="l00160"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a3cb5ef29e47f60acd88b16d6fee254f5"> 160</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a3cb5ef29e47f60acd88b16d6fee254f5">OptimizerOptionsOpaque::GetImportEnabled</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keywordflow">return</span> p_OptimizerOptionsImpl->m_ImportEnabled;</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span> };</div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  </div>
<div class="line"><a name="l00165"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.xhtml#af7a1f38591d1a19952ac13515becc894"> 165</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#af7a1f38591d1a19952ac13515becc894">OptimizerOptionsOpaque::GetExportEnabled</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keywordflow">return</span> p_OptimizerOptionsImpl->m_ExportEnabled;</div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span> };</div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  </div>
<div class="line"><a name="l00170"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a70dc46a7e4105cf24df5a5bb58ae07a5"> 170</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a70dc46a7e4105cf24df5a5bb58ae07a5">OptimizerOptionsOpaque::GetReduceFp32ToFp16</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keywordflow">return</span> p_OptimizerOptionsImpl->m_ReduceFp32ToFp16;</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span> };</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  </div>
<div class="line"><a name="l00175"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a41297bcbc0f576cba32fabcdb2f893b8"> 175</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a41297bcbc0f576cba32fabcdb2f893b8">OptimizerOptionsOpaque::GetReduceFp32ToBf16</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keywordflow">return</span> p_OptimizerOptionsImpl->m_ReduceFp32ToBf16;</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span> }</div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  </div>
<div class="line"><a name="l00180"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a5c25504e5efe52a17f5b0ca45753aaf0"> 180</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a5c25504e5efe52a17f5b0ca45753aaf0">OptimizerOptionsOpaque::GetDebugEnabled</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keywordflow">return</span> p_OptimizerOptionsImpl->m_Debug;</div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span> }</div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  </div>
<div class="line"><a name="l00185"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a8933eb842c6152f61535b69bd37c867e"> 185</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a8933eb842c6152f61535b69bd37c867e">OptimizerOptionsOpaque::GetDebugToFileEnabled</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keywordflow">return</span> p_OptimizerOptionsImpl->m_DebugToFile;</div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span> }</div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  </div>
<div class="line"><a name="l00190"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.xhtml#ad6f282c92535e2be398a9b350d4e2ee9"> 190</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#ad6f282c92535e2be398a9b350d4e2ee9">OptimizerOptionsOpaque::GetAllowExpandedDims</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordflow">return</span> p_OptimizerOptionsImpl->m_AllowExpandedDims;</div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span> }</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  </div>
<div class="line"><a name="l00195"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.xhtml#aac024dacf704e6933d1a6b18d5330738"> 195</a></span> <a class="code" href="namespacearmnn.xhtml#a5b6893cda5b69359a4244c06054da18f">armnn::ModelOptions</a> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#aac024dacf704e6933d1a6b18d5330738">OptimizerOptionsOpaque::GetModelOptions</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keywordflow">return</span> p_OptimizerOptionsImpl->m_ModelOptions;</div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span> }</div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  </div>
<div class="line"><a name="l00200"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a4d0994094ec68328df73a00304fb4af6"> 200</a></span> <a class="code" href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9">armnn::ShapeInferenceMethod</a> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a4d0994094ec68328df73a00304fb4af6">OptimizerOptionsOpaque::GetShapeInferenceMethod</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keywordflow">return</span> p_OptimizerOptionsImpl->m_shapeInferenceMethod;</div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span> }</div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  </div>
<div class="line"><a name="l00205"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a906953de2f5edc60b2c27bd720a70aa4"> 205</a></span> <span class="keyword">const</span> std::string <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a906953de2f5edc60b2c27bd720a70aa4">OptimizerOptionsOpaque::ToString</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  std::stringstream stream;</div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  stream << <span class="stringliteral">"OptimizerOptions: \n"</span>;</div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  stream << <span class="stringliteral">"\tReduceFp32ToFp16: "</span> << p_OptimizerOptionsImpl->m_ReduceFp32ToFp16 << <span class="stringliteral">"\n"</span>;</div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  stream << <span class="stringliteral">"\tReduceFp32ToBf16: "</span> << p_OptimizerOptionsImpl->m_ReduceFp32ToBf16 << <span class="stringliteral">"\n"</span>;</div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  stream << <span class="stringliteral">"\tDebug: "</span> << p_OptimizerOptionsImpl->m_Debug << <span class="stringliteral">"\n"</span>;</div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  stream << <span class="stringliteral">"\tDebug to file: "</span> << p_OptimizerOptionsImpl->m_DebugToFile << <span class="stringliteral">"\n"</span>;</div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  stream << <span class="stringliteral">"\tShapeInferenceMethod: "</span> <<</div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  (p_OptimizerOptionsImpl->m_shapeInferenceMethod == <a class="code" href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9af6486a22a9bb11959bfae60a3e5174b1">ShapeInferenceMethod::ValidateOnly</a> ?</div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="stringliteral">"ValidateOnly"</span> : <span class="stringliteral">"InferAndValidate"</span>) << <span class="stringliteral">"\n"</span>;</div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  stream << <span class="stringliteral">"\tImportEnabled: "</span> << p_OptimizerOptionsImpl->m_ImportEnabled << <span class="stringliteral">"\n"</span>;</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  stream << <span class="stringliteral">"\tExportEnabled: "</span> << p_OptimizerOptionsImpl->m_ExportEnabled << <span class="stringliteral">"\n"</span>;</div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  stream << <span class="stringliteral">"\tProfilingEnabled: "</span> << p_OptimizerOptionsImpl->m_ProfilingEnabled << <span class="stringliteral">"\n"</span>;</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  stream << <span class="stringliteral">"\tAllowExpandedDims: "</span> << p_OptimizerOptionsImpl->m_AllowExpandedDims << <span class="stringliteral">"\n"</span>;</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  </div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  stream << <span class="stringliteral">"\tModelOptions: \n"</span>;</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> optionsGroup : p_OptimizerOptionsImpl->m_ModelOptions)</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  {</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i=0; i < optionsGroup.GetOptionCount(); i++)</div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  {</div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml">armnn::BackendOptions::BackendOption</a> option = optionsGroup.GetOption(i);</div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  stream << <span class="stringliteral">"\t\tBackend: "</span> << optionsGroup.GetBackendId() << <span class="stringliteral">"\n"</span></div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  << <span class="stringliteral">"\t\t\tOption: "</span> << option.<a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml#a9a98946a64f3893b085f650932c9dfee">GetName</a>() << <span class="stringliteral">"\n"</span></div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  << <span class="stringliteral">"\t\t\tValue: "</span> << std::string(option.<a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml#a9dd404db54065d13616225910db3dec4">GetValue</a>().<a class="code" href="classarmnn_1_1_backend_options_1_1_var.xhtml#a7ef596a0c429a1a74709cf14d8fa15d2">ToString</a>()) << <span class="stringliteral">"\n"</span>;</div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  }</div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  }</div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  </div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keywordflow">return</span> stream.str();</div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span> }</div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  </div>
<div class="line"><a name="l00236"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#aff3fde909d22ed157046682e70129259"> 236</a></span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> <a class="code" href="classarmnn_1_1_i_network.xhtml#aff3fde909d22ed157046682e70129259">INetwork::PrintGraph</a>()</div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span> {</div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->PrintGraph();</div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span> }</div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  </div>
<div class="line"><a name="l00241"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#aa6c1c42ea44777302e87ce0fad5ac510"> 241</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#aa6c1c42ea44777302e87ce0fad5ac510">INetwork::AddInputLayer</a>(<a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> <span class="keywordtype">id</span>, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span> {</div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddInputLayer(<span class="keywordtype">id</span>, name);</div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span> }</div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  </div>
<div class="line"><a name="l00246"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#adc8c1c505bca8233fe238b3b7fb80200"> 246</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#adc8c1c505bca8233fe238b3b7fb80200">INetwork::AddArgMinMaxLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml">ArgMinMaxDescriptor</a>& desc,</div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span> {</div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddArgMinMaxLayer(desc, name);</div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span> }</div>
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  </div>
<div class="line"><a name="l00252"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a72f7f58c37d9d856fcb648b5fa68cf59"> 252</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a72f7f58c37d9d856fcb648b5fa68cf59">INetwork::AddCastLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span> {</div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddCastLayer(name);</div>
<div class="line"><a name="l00255"></a><span class="lineno"> 255</span> }</div>
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  </div>
<div class="line"><a name="l00257"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#ac7dca3e9f2ab2f2c64b42fc59a67188a"> 257</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#ac7dca3e9f2ab2f2c64b42fc59a67188a">INetwork::AddComparisonLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml">ComparisonDescriptor</a>& comparisonDescriptor,</div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span> {</div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddComparisonLayer(comparisonDescriptor, name);</div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span> }</div>
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  </div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  </div>
<div class="line"><a name="l00264"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#aea1059833739d3dccebb3a03ec35a1e6"> 264</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#aea1059833739d3dccebb3a03ec35a1e6">INetwork::AddConcatLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">ConcatDescriptor</a>& concatDescriptor,</div>
<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span> {</div>
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddConcatLayer(concatDescriptor, name);</div>
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span> }</div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  </div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  </div>
<div class="line"><a name="l00271"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a383e74ef080d4a81b8b371be4b840248"> 271</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a383e74ef080d4a81b8b371be4b840248">INetwork::AddConvolution2dLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml">Convolution2dDescriptor</a>& convolution2dDescriptor,</div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span> {</div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddConvolution2dLayer(convolution2dDescriptor, name);</div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span> }</div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  </div>
<div class="line"><a name="l00277"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a43de8213707de0e76d80a32cd4b9b482"> 277</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a43de8213707de0e76d80a32cd4b9b482">INetwork::AddConvolution3dLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml">Convolution3dDescriptor</a>& convolution3dDescriptor,</div>
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00279"></a><span class="lineno"> 279</span> {</div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddConvolution3dLayer(convolution3dDescriptor, name);</div>
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span> }</div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  </div>
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  </div>
<div class="line"><a name="l00284"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#af1853466264ac187607c96b501a74e2b"> 284</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#af1853466264ac187607c96b501a74e2b">INetwork::AddDepthToSpaceLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">DepthToSpaceDescriptor</a>& depthToSpaceDescriptor,</div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span> {</div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddDepthToSpaceLayer(depthToSpaceDescriptor, name);</div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span> }</div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  </div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  </div>
<div class="line"><a name="l00291"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#ac6771c8752811fcfa91b3f0dee748144"> 291</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#ac6771c8752811fcfa91b3f0dee748144">INetwork::AddDepthwiseConvolution2dLayer</a>(</div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">DepthwiseConvolution2dDescriptor</a>& convolution2dDescriptor,</div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span> {</div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddDepthwiseConvolution2dLayer(convolution2dDescriptor, name);</div>
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span> }</div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  </div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  </div>
<div class="line"><a name="l00299"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a357aca04172ed22fa32e5a69122b0fec"> 299</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a357aca04172ed22fa32e5a69122b0fec">INetwork::AddDequantizeLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00300"></a><span class="lineno"> 300</span> {</div>
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddDequantizeLayer(name);</div>
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span> }</div>
<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  </div>
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  </div>
<div class="line"><a name="l00305"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#ac1134a94265293ea7347180260f787d2"> 305</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#ac1134a94265293ea7347180260f787d2">INetwork::AddDetectionPostProcessLayer</a>(</div>
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml">DetectionPostProcessDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>& anchors,</div>
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span> {</div>
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddDetectionPostProcessLayer(descriptor, anchors, name);</div>
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span> }</div>
<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  </div>
<div class="line"><a name="l00313"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#af71383a4986faf7f0e339fbaf70e8957"> 313</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#af71383a4986faf7f0e339fbaf70e8957">INetwork::AddElementwiseBinaryLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_binary_descriptor.xhtml">ElementwiseBinaryDescriptor</a>& elementwiseBinaryDescriptor,</div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span> {</div>
<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddElementwiseBinaryLayer(elementwiseBinaryDescriptor, name);</div>
<div class="line"><a name="l00317"></a><span class="lineno"> 317</span> }</div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  </div>
<div class="line"><a name="l00319"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a095a9b700dc857edc23c5d3bf088919f"> 319</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a095a9b700dc857edc23c5d3bf088919f">INetwork::AddElementwiseUnaryLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">ElementwiseUnaryDescriptor</a>& elementwiseUnaryDescriptor,</div>
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span> {</div>
<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddElementwiseUnaryLayer(elementwiseUnaryDescriptor, name);</div>
<div class="line"><a name="l00323"></a><span class="lineno"> 323</span> }</div>
<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  </div>
<div class="line"><a name="l00325"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#afc94c35c0bbe852a60046bf2e756b2e0"> 325</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#afc94c35c0bbe852a60046bf2e756b2e0">INetwork::AddFillLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fill_descriptor.xhtml">FillDescriptor</a>& fillDescriptor,</div>
<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00327"></a><span class="lineno"> 327</span> {</div>
<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddFillLayer(fillDescriptor, name);</div>
<div class="line"><a name="l00329"></a><span class="lineno"> 329</span> }</div>
<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  </div>
<div class="line"><a name="l00331"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a471991a84030eb3ae601da2bee757870"> 331</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a471991a84030eb3ae601da2bee757870">INetwork::AddFullyConnectedLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml">FullyConnectedDescriptor</a>& fullyConnectedDescriptor,</div>
<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span> {</div>
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddFullyConnectedLayer(fullyConnectedDescriptor, name);</div>
<div class="line"><a name="l00335"></a><span class="lineno"> 335</span> }</div>
<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  </div>
<div class="line"><a name="l00337"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a11f49d84f0cfd8df65f4d5206cd43b6d"> 337</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a11f49d84f0cfd8df65f4d5206cd43b6d">INetwork::AddPermuteLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_permute_descriptor.xhtml">PermuteDescriptor</a>& permuteDescriptor,</div>
<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00339"></a><span class="lineno"> 339</span> {</div>
<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddPermuteLayer(permuteDescriptor, name);</div>
<div class="line"><a name="l00341"></a><span class="lineno"> 341</span> }</div>
<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  </div>
<div class="line"><a name="l00343"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a9a9bcc00ae3d96343c93b437d6f77088"> 343</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a9a9bcc00ae3d96343c93b437d6f77088">INetwork::AddBatchToSpaceNdLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml">BatchToSpaceNdDescriptor</a>& batchToSpaceNdDescriptor,</div>
<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00345"></a><span class="lineno"> 345</span> {</div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddBatchToSpaceNdLayer(batchToSpaceNdDescriptor, name);</div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span> }</div>
<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  </div>
<div class="line"><a name="l00349"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#ae913b4351b7027f37eb5657dd7867733"> 349</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#ae913b4351b7027f37eb5657dd7867733">INetwork::AddPooling2dLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml">Pooling2dDescriptor</a>& pooling2dDescriptor,</div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00351"></a><span class="lineno"> 351</span> {</div>
<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddPooling2dLayer(pooling2dDescriptor, name);</div>
<div class="line"><a name="l00353"></a><span class="lineno"> 353</span> }</div>
<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  </div>
<div class="line"><a name="l00355"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#aee282f8e3379d3f5bed1032d20884248"> 355</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#aee282f8e3379d3f5bed1032d20884248">INetwork::AddPooling3dLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml">Pooling3dDescriptor</a>& pooling3dDescriptor,</div>
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00357"></a><span class="lineno"> 357</span> {</div>
<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddPooling3dLayer(pooling3dDescriptor, name);</div>
<div class="line"><a name="l00359"></a><span class="lineno"> 359</span> }</div>
<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  </div>
<div class="line"><a name="l00361"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#aee3a15d2fa419f50a8ac45e6d3c11e16"> 361</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#aee3a15d2fa419f50a8ac45e6d3c11e16">INetwork::AddPrecompiledLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pre_compiled_descriptor.xhtml">PreCompiledDescriptor</a>& preCompiledDescriptor,</div>
<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <a class="code" href="namespacearmnn.xhtml#af362583b7b4c471c434cb0fdb86c2ae2">CompiledBlobPtr</a> compiledBlobPtr,</div>
<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<BackendId></a>& backend,</div>
<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00365"></a><span class="lineno"> 365</span> {</div>
<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddPrecompiledLayer(preCompiledDescriptor, std::move(compiledBlobPtr), backend, name);</div>
<div class="line"><a name="l00367"></a><span class="lineno"> 367</span> }</div>
<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  </div>
<div class="line"><a name="l00369"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#aa51350bdd4976f3dd5a4e9d00a906b2c"> 369</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#aa51350bdd4976f3dd5a4e9d00a906b2c">INetwork::AddActivationLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a>& activationDescriptor,</div>
<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00371"></a><span class="lineno"> 371</span> {</div>
<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddActivationLayer(activationDescriptor, name);</div>
<div class="line"><a name="l00373"></a><span class="lineno"> 373</span> }</div>
<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  </div>
<div class="line"><a name="l00375"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a6c5376053e1f875776d7bc36fd0b7d45"> 375</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a6c5376053e1f875776d7bc36fd0b7d45">INetwork::AddNormalizationLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml">NormalizationDescriptor</a>& normalizationDescriptor,</div>
<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00377"></a><span class="lineno"> 377</span> {</div>
<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddNormalizationLayer(normalizationDescriptor, name);</div>
<div class="line"><a name="l00379"></a><span class="lineno"> 379</span> }</div>
<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  </div>
<div class="line"><a name="l00381"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a8de6b047fcaff95df48dca683e1f3aa4"> 381</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a8de6b047fcaff95df48dca683e1f3aa4">INetwork::AddSliceLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_slice_descriptor.xhtml">SliceDescriptor</a>& sliceDescriptor, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00382"></a><span class="lineno"> 382</span> {</div>
<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddSliceLayer(sliceDescriptor, name);</div>
<div class="line"><a name="l00384"></a><span class="lineno"> 384</span> }</div>
<div class="line"><a name="l00385"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a30528a3bd85a0dba158bd14e252bd68a"> 385</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a30528a3bd85a0dba158bd14e252bd68a">INetwork::AddSoftmaxLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">SoftmaxDescriptor</a>& softmaxDescriptor,</div>
<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00387"></a><span class="lineno"> 387</span> {</div>
<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddSoftmaxLayer(softmaxDescriptor, name);</div>
<div class="line"><a name="l00389"></a><span class="lineno"> 389</span> }</div>
<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  </div>
<div class="line"><a name="l00391"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a6f6d81d8a4f1f85f3616e8306760061c"> 391</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a6f6d81d8a4f1f85f3616e8306760061c">INetwork::AddSplitterLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>& splitterDescriptor,</div>
<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00393"></a><span class="lineno"> 393</span> {</div>
<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddSplitterLayer(splitterDescriptor, name);</div>
<div class="line"><a name="l00395"></a><span class="lineno"> 395</span> }</div>
<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  </div>
<div class="line"><a name="l00397"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a0f19808bdada45222e72edf7671a275a"> 397</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a0f19808bdada45222e72edf7671a275a">INetwork::AddMergeLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00398"></a><span class="lineno"> 398</span> {</div>
<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddMergeLayer(name);</div>
<div class="line"><a name="l00400"></a><span class="lineno"> 400</span> }</div>
<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  </div>
<div class="line"><a name="l00402"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a39f1b38d89c4de186742eafcbb3b1319"> 402</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a39f1b38d89c4de186742eafcbb3b1319">INetwork::AddAdditionLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00403"></a><span class="lineno"> 403</span> {</div>
<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <a class="code" href="_deprecated_8hpp.xhtml#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div>
<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddAdditionLayer(name);</div>
<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <a class="code" href="_deprecated_8hpp.xhtml#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div>
<div class="line"><a name="l00407"></a><span class="lineno"> 407</span> }</div>
<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  </div>
<div class="line"><a name="l00409"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#abb59f6ba9988dae88e0f48e68d87fc32"> 409</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#abb59f6ba9988dae88e0f48e68d87fc32">INetwork::AddMultiplicationLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00410"></a><span class="lineno"> 410</span> {</div>
<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <a class="code" href="_deprecated_8hpp.xhtml#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div>
<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddMultiplicationLayer(name);</div>
<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <a class="code" href="_deprecated_8hpp.xhtml#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div>
<div class="line"><a name="l00414"></a><span class="lineno"> 414</span> }</div>
<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  </div>
<div class="line"><a name="l00416"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a8f798e19187ac7ae6ae6153ee64ab645"> 416</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a8f798e19187ac7ae6ae6153ee64ab645">INetwork::AddBatchNormalizationLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml">BatchNormalizationDescriptor</a>& desc,</div>
<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>& mean,</div>
<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>& variance,</div>
<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>& beta,</div>
<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>& gamma,</div>
<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00422"></a><span class="lineno"> 422</span> {</div>
<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddBatchNormalizationLayer(desc, mean, variance, beta, gamma, name);</div>
<div class="line"><a name="l00424"></a><span class="lineno"> 424</span> }</div>
<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  </div>
<div class="line"><a name="l00426"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a25563024ec66627ee83727244a53e944"> 426</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a25563024ec66627ee83727244a53e944">INetwork::AddRankLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00427"></a><span class="lineno"> 427</span> {</div>
<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddRankLayer(name);</div>
<div class="line"><a name="l00429"></a><span class="lineno"> 429</span> }</div>
<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  </div>
<div class="line"><a name="l00431"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#ad97411f1fcb2c30c212483d8c673506f"> 431</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#ad97411f1fcb2c30c212483d8c673506f">INetwork::AddResizeLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml">ResizeDescriptor</a>& resizeDescriptor,</div>
<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00433"></a><span class="lineno"> 433</span> {</div>
<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddResizeLayer(resizeDescriptor, name);</div>
<div class="line"><a name="l00435"></a><span class="lineno"> 435</span> }</div>
<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  </div>
<div class="line"><a name="l00437"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#ae0cfae1ea51669892608a1a060d24fa0"> 437</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#ae0cfae1ea51669892608a1a060d24fa0">INetwork::AddReduceLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reduce_descriptor.xhtml">ReduceDescriptor</a>& reduceDescriptor,</div>
<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00439"></a><span class="lineno"> 439</span> {</div>
<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddReduceLayer(reduceDescriptor, name);</div>
<div class="line"><a name="l00441"></a><span class="lineno"> 441</span> }</div>
<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  </div>
<div class="line"><a name="l00443"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#abd61d3e7ab67551c75bc219bbc4baeb5"> 443</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#abd61d3e7ab67551c75bc219bbc4baeb5">INetwork::AddInstanceNormalizationLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml">InstanceNormalizationDescriptor</a>& desc,</div>
<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00445"></a><span class="lineno"> 445</span> {</div>
<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddInstanceNormalizationLayer(desc, name);</div>
<div class="line"><a name="l00447"></a><span class="lineno"> 447</span> }</div>
<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  </div>
<div class="line"><a name="l00449"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#aaff51346dadec2c1430abf007fed4cc9"> 449</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#aaff51346dadec2c1430abf007fed4cc9">INetwork::AddL2NormalizationLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_l2_normalization_descriptor.xhtml">L2NormalizationDescriptor</a>& desc,</div>
<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00451"></a><span class="lineno"> 451</span> {</div>
<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddL2NormalizationLayer(desc, name);</div>
<div class="line"><a name="l00453"></a><span class="lineno"> 453</span> }</div>
<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  </div>
<div class="line"><a name="l00455"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a83b33973ca12078166b2436b313627b9"> 455</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a83b33973ca12078166b2436b313627b9">INetwork::AddLogSoftmaxLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">LogSoftmaxDescriptor</a>& logSoftmaxDescriptor,</div>
<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00457"></a><span class="lineno"> 457</span> {</div>
<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddLogSoftmaxLayer(logSoftmaxDescriptor, name);</div>
<div class="line"><a name="l00459"></a><span class="lineno"> 459</span> }</div>
<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  </div>
<div class="line"><a name="l00461"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a1aa567f46c30960851c02847dc7b4215"> 461</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a1aa567f46c30960851c02847dc7b4215">INetwork::AddConstantLayer</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>& input,</div>
<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00463"></a><span class="lineno"> 463</span> {</div>
<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddConstantLayer(input, name);</div>
<div class="line"><a name="l00465"></a><span class="lineno"> 465</span> }</div>
<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  </div>
<div class="line"><a name="l00467"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a8a3380be13fba749fc4208214b049347"> 467</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a8a3380be13fba749fc4208214b049347">INetwork::AddReshapeLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reshape_descriptor.xhtml">ReshapeDescriptor</a>& reshapeDescriptor,</div>
<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00469"></a><span class="lineno"> 469</span> {</div>
<div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddReshapeLayer(reshapeDescriptor, name);</div>
<div class="line"><a name="l00471"></a><span class="lineno"> 471</span> }</div>
<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  </div>
<div class="line"><a name="l00473"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a72b9d30e9d555bb5c35460b62faedf0d"> 473</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a72b9d30e9d555bb5c35460b62faedf0d">INetwork::AddSpaceToBatchNdLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml">SpaceToBatchNdDescriptor</a>& spaceToBatchNdDescriptor,</div>
<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00475"></a><span class="lineno"> 475</span> {</div>
<div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddSpaceToBatchNdLayer(spaceToBatchNdDescriptor, name);</div>
<div class="line"><a name="l00477"></a><span class="lineno"> 477</span> }</div>
<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  </div>
<div class="line"><a name="l00479"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a19bad0cc50526ca9f4f84a688812cdf5"> 479</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a19bad0cc50526ca9f4f84a688812cdf5">INetwork::AddSpaceToDepthLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">SpaceToDepthDescriptor</a>& spaceToDepthDescriptor,</div>
<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00481"></a><span class="lineno"> 481</span> {</div>
<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddSpaceToDepthLayer(spaceToDepthDescriptor, name);</div>
<div class="line"><a name="l00483"></a><span class="lineno"> 483</span> }</div>
<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  </div>
<div class="line"><a name="l00485"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a435ea88480b8645026dd45fd692663a1"> 485</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a435ea88480b8645026dd45fd692663a1">INetwork::AddFloorLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00486"></a><span class="lineno"> 486</span> {</div>
<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddFloorLayer(name);</div>
<div class="line"><a name="l00488"></a><span class="lineno"> 488</span> }</div>
<div class="line"><a name="l00489"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#af5790069aa11fd1c5bb2e17cecb06528"> 489</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#af5790069aa11fd1c5bb2e17cecb06528">INetwork::AddOutputLayer</a>(<a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> <span class="keywordtype">id</span>, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00490"></a><span class="lineno"> 490</span> {</div>
<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddOutputLayer(<span class="keywordtype">id</span>, name);</div>
<div class="line"><a name="l00492"></a><span class="lineno"> 492</span> }</div>
<div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  </div>
<div class="line"><a name="l00494"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a0a2fdd4f442952c97a8f24de6700473a"> 494</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a0a2fdd4f442952c97a8f24de6700473a">INetwork::AddLstmLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml">LstmDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params.xhtml">LstmInputParams</a>& params,</div>
<div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00497"></a><span class="lineno"> 497</span> {</div>
<div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddLstmLayer(descriptor, params, name);</div>
<div class="line"><a name="l00499"></a><span class="lineno"> 499</span> }</div>
<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  </div>
<div class="line"><a name="l00501"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a0aeb4e528cf6ba4b7caca14a94fbcafe"> 501</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a0aeb4e528cf6ba4b7caca14a94fbcafe">INetwork::AddDivisionLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00502"></a><span class="lineno"> 502</span> {</div>
<div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  <a class="code" href="_deprecated_8hpp.xhtml#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div>
<div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddDivisionLayer(name);</div>
<div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <a class="code" href="_deprecated_8hpp.xhtml#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div>
<div class="line"><a name="l00506"></a><span class="lineno"> 506</span> }</div>
<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  </div>
<div class="line"><a name="l00508"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#af13795cdf49e63d8bc3cb409592cdb9d"> 508</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#af13795cdf49e63d8bc3cb409592cdb9d">INetwork::AddSubtractionLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00509"></a><span class="lineno"> 509</span> {</div>
<div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <a class="code" href="_deprecated_8hpp.xhtml#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div>
<div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddSubtractionLayer(name);</div>
<div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  <a class="code" href="_deprecated_8hpp.xhtml#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div>
<div class="line"><a name="l00513"></a><span class="lineno"> 513</span> }</div>
<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  </div>
<div class="line"><a name="l00515"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a57590d7777211673d2052f702f0b07a1"> 515</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a57590d7777211673d2052f702f0b07a1">INetwork::AddMaximumLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00516"></a><span class="lineno"> 516</span> {</div>
<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <a class="code" href="_deprecated_8hpp.xhtml#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div>
<div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddMaximumLayer(name);</div>
<div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <a class="code" href="_deprecated_8hpp.xhtml#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div>
<div class="line"><a name="l00520"></a><span class="lineno"> 520</span> }</div>
<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  </div>
<div class="line"><a name="l00522"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#ad4726f9b7dd11db250d2a494a8a39494"> 522</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#ad4726f9b7dd11db250d2a494a8a39494">INetwork::AddMeanLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml">MeanDescriptor</a>& meanDescriptor, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00523"></a><span class="lineno"> 523</span> {</div>
<div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddMeanLayer(meanDescriptor, name);</div>
<div class="line"><a name="l00525"></a><span class="lineno"> 525</span> }</div>
<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  </div>
<div class="line"><a name="l00527"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a6e2df484ecc65bc82712590b96e04df4"> 527</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a6e2df484ecc65bc82712590b96e04df4">INetwork::AddPadLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml">PadDescriptor</a>& padDescriptor,</div>
<div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00529"></a><span class="lineno"> 529</span> {</div>
<div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddPadLayer(padDescriptor, name);</div>
<div class="line"><a name="l00531"></a><span class="lineno"> 531</span> }</div>
<div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  </div>
<div class="line"><a name="l00533"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a0b426a3feffc76e66d73b5761806e899"> 533</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a0b426a3feffc76e66d73b5761806e899">INetwork::AddQuantizeLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00534"></a><span class="lineno"> 534</span> {</div>
<div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddQuantizeLayer(name);</div>
<div class="line"><a name="l00536"></a><span class="lineno"> 536</span> }</div>
<div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  </div>
<div class="line"><a name="l00538"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#ac5c93cad39a690af862d49ffaec0d3c0"> 538</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#ac5c93cad39a690af862d49ffaec0d3c0">INetwork::AddStridedSliceLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml">StridedSliceDescriptor</a>& stridedSliceDescriptor,</div>
<div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00540"></a><span class="lineno"> 540</span> {</div>
<div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddStridedSliceLayer(stridedSliceDescriptor, name);</div>
<div class="line"><a name="l00542"></a><span class="lineno"> 542</span> }</div>
<div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  </div>
<div class="line"><a name="l00544"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a4bfd8dee1a0315b651e977c672c0847c"> 544</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a4bfd8dee1a0315b651e977c672c0847c">INetwork::AddMinimumLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00545"></a><span class="lineno"> 545</span> {</div>
<div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <a class="code" href="_deprecated_8hpp.xhtml#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div>
<div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddMinimumLayer(name);</div>
<div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <a class="code" href="_deprecated_8hpp.xhtml#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div>
<div class="line"><a name="l00549"></a><span class="lineno"> 549</span> }</div>
<div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  </div>
<div class="line"><a name="l00551"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a1da203a7e3caa6ae4f0630a4758aac55"> 551</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a1da203a7e3caa6ae4f0630a4758aac55">INetwork::AddGatherLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_gather_descriptor.xhtml">GatherDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00553"></a><span class="lineno"> 553</span> {</div>
<div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddGatherLayer(descriptor, name);</div>
<div class="line"><a name="l00555"></a><span class="lineno"> 555</span> }</div>
<div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  </div>
<div class="line"><a name="l00557"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#af776e284b9e2c4a3563abb8cf5e8ac5e"> 557</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#af776e284b9e2c4a3563abb8cf5e8ac5e">INetwork::AddGatherNdLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00558"></a><span class="lineno"> 558</span> {</div>
<div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddGatherNdLayer(name);</div>
<div class="line"><a name="l00560"></a><span class="lineno"> 560</span> }</div>
<div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  </div>
<div class="line"><a name="l00562"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a26e69cda5fe9642f9198c24ae5fdf9bc"> 562</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a26e69cda5fe9642f9198c24ae5fdf9bc">INetwork::AddSwitchLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00563"></a><span class="lineno"> 563</span> {</div>
<div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddSwitchLayer(name);</div>
<div class="line"><a name="l00565"></a><span class="lineno"> 565</span> }</div>
<div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  </div>
<div class="line"><a name="l00567"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a6d614a503a34ea3712b388aa4340ddbe"> 567</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a6d614a503a34ea3712b388aa4340ddbe">INetwork::AddPreluLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00568"></a><span class="lineno"> 568</span> {</div>
<div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddPreluLayer(name);</div>
<div class="line"><a name="l00570"></a><span class="lineno"> 570</span> }</div>
<div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  </div>
<div class="line"><a name="l00572"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a41fd7b56923d5625bac2cbfebed1a393"> 572</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a41fd7b56923d5625bac2cbfebed1a393">INetwork::AddTransposeConvolution2dLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml">TransposeConvolution2dDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>& weights,</div>
<div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<ConstTensor></a>& biases,</div>
<div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00576"></a><span class="lineno"> 576</span> {</div>
<div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddTransposeConvolution2dLayer(descriptor, weights, biases, name);</div>
<div class="line"><a name="l00578"></a><span class="lineno"> 578</span> }</div>
<div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  </div>
<div class="line"><a name="l00580"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#ab067ba4ee9416d93abb8a52f3dc8feba"> 580</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#ab067ba4ee9416d93abb8a52f3dc8feba">INetwork::AddTransposeLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_descriptor.xhtml">TransposeDescriptor</a>& transposeDescriptor,</div>
<div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00582"></a><span class="lineno"> 582</span> {</div>
<div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddTransposeLayer(transposeDescriptor, name);</div>
<div class="line"><a name="l00584"></a><span class="lineno"> 584</span> }</div>
<div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  </div>
<div class="line"><a name="l00586"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#af9dd4b5273829b846ab83b3ae7f3defc"> 586</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#af9dd4b5273829b846ab83b3ae7f3defc">INetwork::AddShapeLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00587"></a><span class="lineno"> 587</span> {</div>
<div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddShapeLayer(name);</div>
<div class="line"><a name="l00589"></a><span class="lineno"> 589</span> }</div>
<div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  </div>
<div class="line"><a name="l00591"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a5210b3df77e7a51ab369b577de821aa2"> 591</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a5210b3df77e7a51ab369b577de821aa2">INetwork::AddStackLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stack_descriptor.xhtml">StackDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00593"></a><span class="lineno"> 593</span> {</div>
<div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddStackLayer(descriptor, name);</div>
<div class="line"><a name="l00595"></a><span class="lineno"> 595</span> }</div>
<div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  </div>
<div class="line"><a name="l00597"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a74894d085e78ff80f45fc09dd2381f08"> 597</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a74894d085e78ff80f45fc09dd2381f08">INetwork::AddStandInLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml">StandInDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00599"></a><span class="lineno"> 599</span> {</div>
<div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddStandInLayer(descriptor, name);</div>
<div class="line"><a name="l00601"></a><span class="lineno"> 601</span> }</div>
<div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  </div>
<div class="line"><a name="l00603"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a40067b05f30a3ab65568c826df7a8ea7"> 603</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a40067b05f30a3ab65568c826df7a8ea7">INetwork::AddQuantizedLstmLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml">QuantizedLstmInputParams</a>& params,</div>
<div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00605"></a><span class="lineno"> 605</span> {</div>
<div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddQuantizedLstmLayer(params, name);</div>
<div class="line"><a name="l00607"></a><span class="lineno"> 607</span> }</div>
<div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  </div>
<div class="line"><a name="l00609"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a2acbae0b9e98c94b843677484775c86a"> 609</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a2acbae0b9e98c94b843677484775c86a">INetwork::AddQLstmLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml">QLstmDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params.xhtml">LstmInputParams</a>& params,</div>
<div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00612"></a><span class="lineno"> 612</span> {</div>
<div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddQLstmLayer(descriptor, params, name);</div>
<div class="line"><a name="l00614"></a><span class="lineno"> 614</span> }</div>
<div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  </div>
<div class="line"><a name="l00616"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a7dfc9717e76257867ad0a9239f210df0"> 616</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a7dfc9717e76257867ad0a9239f210df0">INetwork::AddLogicalBinaryLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_logical_binary_descriptor.xhtml">LogicalBinaryDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00618"></a><span class="lineno"> 618</span> {</div>
<div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddLogicalBinaryLayer(descriptor, name);</div>
<div class="line"><a name="l00620"></a><span class="lineno"> 620</span> }</div>
<div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  </div>
<div class="line"><a name="l00622"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#aba22dcdeed6e7c489aea6eb798c0a10a"> 622</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#aba22dcdeed6e7c489aea6eb798c0a10a">INetwork::AddUnidirectionalSequenceLstmLayer</a>(</div>
<div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml">UnidirectionalSequenceLstmDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params.xhtml">LstmInputParams</a>& params,</div>
<div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00626"></a><span class="lineno"> 626</span> {</div>
<div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddUnidirectionalSequenceLstmLayer(descriptor, params, name);</div>
<div class="line"><a name="l00628"></a><span class="lineno"> 628</span> }</div>
<div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  </div>
<div class="line"><a name="l00630"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a786be4af14ba595c9946f935ba99f170"> 630</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#a786be4af14ba595c9946f935ba99f170">INetwork::AddChannelShuffleLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml">ChannelShuffleDescriptor</a> &descriptor,</div>
<div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00632"></a><span class="lineno"> 632</span> {</div>
<div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddChannelShuffleLayer(descriptor, name);</div>
<div class="line"><a name="l00634"></a><span class="lineno"> 634</span> }</div>
<div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  </div>
<div class="line"><a name="l00636"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#aead50fe5965878e58cfdbe782736fa2a"> 636</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#aead50fe5965878e58cfdbe782736fa2a">INetwork::AddBatchMatMulLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">BatchMatMulDescriptor</a> &descriptor,</div>
<div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00638"></a><span class="lineno"> 638</span> {</div>
<div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddBatchMatMulLayer(descriptor, name);</div>
<div class="line"><a name="l00640"></a><span class="lineno"> 640</span> }</div>
<div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  </div>
<div class="line"><a name="l00642"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a72032c65bf8b8acf09b564b7d80078c5"> 642</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a72032c65bf8b8acf09b564b7d80078c5">INetwork::ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.xhtml">IStrategy</a>& strategy)<span class="keyword"> const</span></div>
<div class="line"><a name="l00643"></a><span class="lineno"> 643</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->ExecuteStrategy(strategy);</div>
<div class="line"><a name="l00645"></a><span class="lineno"> 645</span> }</div>
<div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  </div>
<div class="line"><a name="l00647"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#ab534dfa7f086a5f09fd9e3734ca6ab28"> 647</a></span> <a class="code" href="classarmnn_1_1_i_network.xhtml">armnn::INetwork</a>* <a class="code" href="classarmnn_1_1_i_network.xhtml#ab534dfa7f086a5f09fd9e3734ca6ab28">INetwork::CreateRaw</a>(<span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a4de71c3661093e5c4ae7775114f43413">NetworkOptions</a>& networkOptions)</div>
<div class="line"><a name="l00648"></a><span class="lineno"> 648</span> {</div>
<div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  <span class="keywordflow">return</span> <span class="keyword">new</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a2d936beb0fcf3c5d22ff332f0812b05e">INetwork</a>(networkOptions);</div>
<div class="line"><a name="l00650"></a><span class="lineno"> 650</span> }</div>
<div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  </div>
<div class="line"><a name="l00652"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a41ce159095e95f7cd4174ce5d4662697"> 652</a></span> <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> <a class="code" href="classarmnn_1_1_i_network.xhtml#a41ce159095e95f7cd4174ce5d4662697">INetwork::Create</a>(<span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a4de71c3661093e5c4ae7775114f43413">NetworkOptions</a>& networkOptions)</div>
<div class="line"><a name="l00653"></a><span class="lineno"> 653</span> {</div>
<div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">INetworkPtr</a>(<a class="code" href="classarmnn_1_1_i_network.xhtml#ab534dfa7f086a5f09fd9e3734ca6ab28">CreateRaw</a>(networkOptions), &<a class="code" href="classarmnn_1_1_i_network.xhtml#a55bd1bb29076dc45bb335e7322781463">INetwork::Destroy</a>);</div>
<div class="line"><a name="l00655"></a><span class="lineno"> 655</span> }</div>
<div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  </div>
<div class="line"><a name="l00657"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.xhtml#a55bd1bb29076dc45bb335e7322781463"> 657</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_i_network.xhtml#a55bd1bb29076dc45bb335e7322781463">INetwork::Destroy</a>(<a class="code" href="classarmnn_1_1_i_network.xhtml">INetwork</a>* network)</div>
<div class="line"><a name="l00658"></a><span class="lineno"> 658</span> {</div>
<div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  <span class="keyword">delete</span> network;</div>
<div class="line"><a name="l00660"></a><span class="lineno"> 660</span> }</div>
<div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  </div>
<div class="line"><a name="l00662"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_optimized_network.xhtml#a32eecbed1d4cd2602204a2ab3f5f249e"> 662</a></span> <a class="code" href="classarmnn_1_1_i_optimized_network.xhtml#a32eecbed1d4cd2602204a2ab3f5f249e">IOptimizedNetwork::IOptimizedNetwork</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_optimized_network.xhtml">IOptimizedNetwork</a>& other, <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a>& modelOptions)</div>
<div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  : pOptimizedNetworkImpl(new <a class="code" href="classarmnn_1_1_optimized_network_impl.xhtml">OptimizedNetworkImpl</a>(*other.pOptimizedNetworkImpl.get(), modelOptions)) {}</div>
<div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  </div>
<div class="line"><a name="l00665"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_optimized_network.xhtml#af730a6ec3deb072dc2687089f3f77f9e"> 665</a></span> <a class="code" href="classarmnn_1_1_i_optimized_network.xhtml#a32eecbed1d4cd2602204a2ab3f5f249e">IOptimizedNetwork::IOptimizedNetwork</a>(std::unique_ptr<Graph> graph)</div>
<div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  : pOptimizedNetworkImpl(new <a class="code" href="classarmnn_1_1_optimized_network_impl.xhtml">OptimizedNetworkImpl</a>(<a class="code" href="namespacestd.xhtml">std</a>::move(graph))) {}</div>
<div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  </div>
<div class="line"><a name="l00668"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_optimized_network.xhtml#a5fd8b75db92fb2a84d12e2092a173716"> 668</a></span> <a class="code" href="classarmnn_1_1_i_optimized_network.xhtml#a32eecbed1d4cd2602204a2ab3f5f249e">IOptimizedNetwork::IOptimizedNetwork</a>(std::unique_ptr<OptimizedNetworkImpl> impl)</div>
<div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  : pOptimizedNetworkImpl(<a class="code" href="namespacestd.xhtml">std</a>::move(impl)) {}</div>
<div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  </div>
<div class="line"><a name="l00671"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_optimized_network.xhtml#a230acad28622c18ab32254f74af569b0"> 671</a></span> <a class="code" href="classarmnn_1_1_i_optimized_network.xhtml#a32eecbed1d4cd2602204a2ab3f5f249e">IOptimizedNetwork::IOptimizedNetwork</a>(std::unique_ptr<Graph> graph, <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a>& modelOptions)</div>
<div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  : pOptimizedNetworkImpl(new <a class="code" href="classarmnn_1_1_optimized_network_impl.xhtml">OptimizedNetworkImpl</a>(<a class="code" href="namespacestd.xhtml">std</a>::move(graph), modelOptions)) {}</div>
<div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  </div>
<div class="line"><a name="l00674"></a><span class="lineno"> 674</span> <a class="code" href="classarmnn_1_1_i_optimized_network.xhtml#a437cc59f5247f213adf34e84696f60da">IOptimizedNetwork::~IOptimizedNetwork</a>() = <span class="keywordflow">default</span>;</div>
<div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  </div>
<div class="line"><a name="l00676"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_optimized_network.xhtml#a58ee539cf95c1e99fe4f54ef6e8bbd05"> 676</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_i_optimized_network.xhtml#a58ee539cf95c1e99fe4f54ef6e8bbd05">IOptimizedNetwork::Destroy</a>(<a class="code" href="classarmnn_1_1_i_optimized_network.xhtml">IOptimizedNetwork</a>* network)</div>
<div class="line"><a name="l00677"></a><span class="lineno"> 677</span> {</div>
<div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  <span class="keyword">delete</span> network;</div>
<div class="line"><a name="l00679"></a><span class="lineno"> 679</span> }</div>
<div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  </div>
<div class="line"><a name="l00681"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_optimized_network.xhtml#aff3fde909d22ed157046682e70129259"> 681</a></span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> <a class="code" href="classarmnn_1_1_i_optimized_network.xhtml#aff3fde909d22ed157046682e70129259">IOptimizedNetwork::PrintGraph</a>()</div>
<div class="line"><a name="l00682"></a><span class="lineno"> 682</span> {</div>
<div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_optimized_network.xhtml#a374d52340ec8dc02a819acc20fb5aa92">pOptimizedNetworkImpl</a>->PrintGraph();</div>
<div class="line"><a name="l00684"></a><span class="lineno"> 684</span> }</div>
<div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  </div>
<div class="line"><a name="l00686"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_optimized_network.xhtml#a26794f014974a6f963a8925de07bffeb"> 686</a></span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> <a class="code" href="classarmnn_1_1_i_optimized_network.xhtml#a26794f014974a6f963a8925de07bffeb">IOptimizedNetwork::SerializeToDot</a>(std::ostream& stream)<span class="keyword"> const</span></div>
<div class="line"><a name="l00687"></a><span class="lineno"> 687</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_optimized_network.xhtml#a374d52340ec8dc02a819acc20fb5aa92">pOptimizedNetworkImpl</a>->SerializeToDot(stream);</div>
<div class="line"><a name="l00689"></a><span class="lineno"> 689</span> }</div>
<div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  </div>
<div class="line"><a name="l00691"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_optimized_network.xhtml#a880db527e7dbf8d0de3fee52ba072482"> 691</a></span> <span class="keyword">const</span> std::shared_ptr<IProfiler>& <a class="code" href="classarmnn_1_1_i_optimized_network.xhtml#a880db527e7dbf8d0de3fee52ba072482">IOptimizedNetwork::GetProfiler</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00692"></a><span class="lineno"> 692</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_optimized_network.xhtml#a374d52340ec8dc02a819acc20fb5aa92">pOptimizedNetworkImpl</a>->GetGraph().GetProfiler();</div>
<div class="line"><a name="l00694"></a><span class="lineno"> 694</span> }</div>
<div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  </div>
<div class="line"><a name="l00696"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_optimized_network.xhtml#aa1b6106cb25d38e369fd647f4324cebe"> 696</a></span> arm::pipe::ProfilingGuid <a class="code" href="classarmnn_1_1_i_optimized_network.xhtml#aa1b6106cb25d38e369fd647f4324cebe">IOptimizedNetwork::GetGuid</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00697"></a><span class="lineno"> 697</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_optimized_network.xhtml#a374d52340ec8dc02a819acc20fb5aa92">pOptimizedNetworkImpl</a>->GetGuid();</div>
<div class="line"><a name="l00699"></a><span class="lineno"> 699</span> }</div>
<div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  </div>
<div class="line"><a name="l00701"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_optimized_network.xhtml#a8d8179a4a0703602a5d7dbb6e92eaf69"> 701</a></span> <span class="keywordtype">size_t</span> <a class="code" href="classarmnn_1_1_i_optimized_network.xhtml#a8d8179a4a0703602a5d7dbb6e92eaf69">IOptimizedNetwork::GetNumInputs</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00702"></a><span class="lineno"> 702</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_optimized_network.xhtml#a374d52340ec8dc02a819acc20fb5aa92">pOptimizedNetworkImpl</a>->GetNumInputs();</div>
<div class="line"><a name="l00704"></a><span class="lineno"> 704</span> }</div>
<div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  </div>
<div class="line"><a name="l00706"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_optimized_network.xhtml#a604654b453ec291a503d62a0beb849d3"> 706</a></span> <span class="keywordtype">size_t</span> <a class="code" href="classarmnn_1_1_i_optimized_network.xhtml#a604654b453ec291a503d62a0beb849d3">IOptimizedNetwork::GetNumOutputs</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00707"></a><span class="lineno"> 707</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_optimized_network.xhtml#a374d52340ec8dc02a819acc20fb5aa92">pOptimizedNetworkImpl</a>->GetNumOutputs();</div>
<div class="line"><a name="l00709"></a><span class="lineno"> 709</span> }</div>
<div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  </div>
<div class="line"><a name="l00711"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimized_network_impl.xhtml#aff3fde909d22ed157046682e70129259"> 711</a></span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> <a class="code" href="classarmnn_1_1_optimized_network_impl.xhtml#aff3fde909d22ed157046682e70129259">OptimizedNetworkImpl::PrintGraph</a>()</div>
<div class="line"><a name="l00712"></a><span class="lineno"> 712</span> {</div>
<div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  m_Graph->Print();</div>
<div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">Status::Success</a>;</div>
<div class="line"><a name="l00715"></a><span class="lineno"> 715</span> }</div>
<div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  </div>
<div class="line"><a name="l00717"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimized_network_impl.xhtml#a26794f014974a6f963a8925de07bffeb"> 717</a></span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> <a class="code" href="classarmnn_1_1_optimized_network_impl.xhtml#a26794f014974a6f963a8925de07bffeb">OptimizedNetworkImpl::SerializeToDot</a>(std::ostream& stream)<span class="keyword"> const</span></div>
<div class="line"><a name="l00718"></a><span class="lineno"> 718</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  <span class="keywordflow">return</span> m_Graph->SerializeToDot(stream);</div>
<div class="line"><a name="l00720"></a><span class="lineno"> 720</span> }</div>
<div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  </div>
<div class="line"><a name="l00722"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimized_network_impl.xhtml#a8d8179a4a0703602a5d7dbb6e92eaf69"> 722</a></span> <span class="keywordtype">size_t</span> <a class="code" href="classarmnn_1_1_optimized_network_impl.xhtml#a8d8179a4a0703602a5d7dbb6e92eaf69">OptimizedNetworkImpl::GetNumInputs</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00723"></a><span class="lineno"> 723</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  <span class="keywordflow">return</span> m_Graph->GetNumInputs();</div>
<div class="line"><a name="l00725"></a><span class="lineno"> 725</span> }</div>
<div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  </div>
<div class="line"><a name="l00727"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimized_network_impl.xhtml#a604654b453ec291a503d62a0beb849d3"> 727</a></span> <span class="keywordtype">size_t</span> <a class="code" href="classarmnn_1_1_optimized_network_impl.xhtml#a604654b453ec291a503d62a0beb849d3">OptimizedNetworkImpl::GetNumOutputs</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00728"></a><span class="lineno"> 728</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00729"></a><span class="lineno"> 729</span>  <span class="keywordflow">return</span> m_Graph->GetNumOutputs();</div>
<div class="line"><a name="l00730"></a><span class="lineno"> 730</span> }</div>
<div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  </div>
<div class="line"><a name="l00732"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a3cf1cee98e0ed8b54263ec7279f6ec69"> 732</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.xhtml#a3cf1cee98e0ed8b54263ec7279f6ec69">ReportError</a>(<span class="keyword">const</span> std::string& errorMessage,</div>
<div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional</a><std::vector<std::string>&> errorMessages)</div>
<div class="line"><a name="l00734"></a><span class="lineno"> 734</span> {</div>
<div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  std::stringstream fullErrorMessage;</div>
<div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  fullErrorMessage << <span class="stringliteral">"ERROR: "</span> << errorMessage;</div>
<div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd">warning</a>) << fullErrorMessage.str();</div>
<div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  <span class="keywordflow">if</span> (errorMessages)</div>
<div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  {</div>
<div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  errorMessages.value().push_back(fullErrorMessage.str());</div>
<div class="line"><a name="l00741"></a><span class="lineno"> 741</span>  }</div>
<div class="line"><a name="l00742"></a><span class="lineno"> 742</span> }</div>
<div class="line"><a name="l00743"></a><span class="lineno"> 743</span>  </div>
<div class="line"><a name="l00744"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a070307e9ee0f7969f7d4320145d1dddb"> 744</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.xhtml#a070307e9ee0f7969f7d4320145d1dddb">ReportWarning</a>(<span class="keyword">const</span> std::string& warningMessage,</div>
<div class="line"><a name="l00745"></a><span class="lineno"> 745</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional</a><std::vector<std::string>&> warningMessages)</div>
<div class="line"><a name="l00746"></a><span class="lineno"> 746</span> {</div>
<div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  std::stringstream fullWarningMessage;</div>
<div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  fullWarningMessage << <span class="stringliteral">"WARNING: "</span> << warningMessage;</div>
<div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd">warning</a>) << fullWarningMessage.str();</div>
<div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  <span class="keywordflow">if</span> (warningMessages)</div>
<div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  {</div>
<div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  warningMessages.value().push_back(fullWarningMessage.str());</div>
<div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  }</div>
<div class="line"><a name="l00754"></a><span class="lineno"> 754</span> }</div>
<div class="line"><a name="l00755"></a><span class="lineno"> 755</span>  </div>
<div class="line"><a name="l00756"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#aeee4e55e6ad4fe12b2168f9fd1e88141"> 756</a></span> <a class="code" href="structarmnn_1_1_optimization_result.xhtml">OptimizationResult</a> <a class="code" href="namespacearmnn.xhtml#aeee4e55e6ad4fe12b2168f9fd1e88141">ReturnWithError</a>(<a class="code" href="structarmnn_1_1_optimization_result.xhtml">OptimizationResult</a> res,</div>
<div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>* layer,</div>
<div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_backend_settings.xhtml">BackendSettings</a>& backendSettings,</div>
<div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional</a><std::vector<std::string>&> errMessages)</div>
<div class="line"><a name="l00760"></a><span class="lineno"> 760</span> {</div>
<div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  std::stringstream failureMsg;</div>
<div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  failureMsg << <span class="stringliteral">"Layer of type "</span> << <a class="code" href="namespacearmnn.xhtml#addb6b14dd1b632263ffe77430259a7c4">GetLayerTypeAsCString</a>(layer-><a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>())</div>
<div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  << <span class="stringliteral">" is not supported on any preferred backend "</span> << backendSettings.<a class="code" href="structarmnn_1_1_backend_settings.xhtml#ae6d0506ac92f9ba9529d019847144aa3">m_PreferredBackends</a>;</div>
<div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  <a class="code" href="namespacearmnn.xhtml#a3cf1cee98e0ed8b54263ec7279f6ec69">ReportError</a>(failureMsg.str(), errMessages);</div>
<div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  </div>
<div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  res.<a class="code" href="structarmnn_1_1_optimization_result.xhtml#a41a657cfacb52a80a73575c5c730ab88">m_Error</a> = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  <span class="keywordflow">return</span> res;</div>
<div class="line"><a name="l00768"></a><span class="lineno"> 768</span> }</div>
<div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  </div>
<div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  </div>
<div class="line"><a name="l00771"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a8bf1222ae8931bf663fa076b3e3b6f0e"> 771</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a8bf1222ae8931bf663fa076b3e3b6f0e">CheckScaleSetOnQuantizedType</a>(<a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>* layer, <a class="code" href="classarmnn_1_1_optional.xhtml">Optional</a><std::vector<std::string>&> errMessages)</div>
<div class="line"><a name="l00772"></a><span class="lineno"> 772</span> {</div>
<div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  <span class="keywordtype">bool</span> noErrors = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutputs = layer-><a class="code" href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>();</div>
<div class="line"><a name="l00775"></a><span class="lineno"> 775</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < numOutputs; i++) {</div>
<div class="line"><a name="l00776"></a><span class="lineno"> 776</span>  <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>& outputSlot = layer-><a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(i);</div>
<div class="line"><a name="l00777"></a><span class="lineno"> 777</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a> = outputSlot.<a class="code" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>();</div>
<div class="line"><a name="l00778"></a><span class="lineno"> 778</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a> == <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetDataType())</div>
<div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  {</div>
<div class="line"><a name="l00780"></a><span class="lineno"> 780</span>  <span class="keywordflow">if</span> (0.f == <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationScale())</div>
<div class="line"><a name="l00781"></a><span class="lineno"> 781</span>  {</div>
<div class="line"><a name="l00782"></a><span class="lineno"> 782</span>  noErrors = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00783"></a><span class="lineno"> 783</span>  std::stringstream ss;</div>
<div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  ss << <span class="stringliteral">"output "</span> << i << <span class="stringliteral">" of layer "</span> << <a class="code" href="namespacearmnn.xhtml#addb6b14dd1b632263ffe77430259a7c4">GetLayerTypeAsCString</a>(layer-><a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>())</div>
<div class="line"><a name="l00785"></a><span class="lineno"> 785</span>  << <span class="stringliteral">" ("</span> << layer-><a class="code" href="classarmnn_1_1_layer.xhtml#a9a97cb6d32661a57fc33bd29b8e41ff4">GetNameStr</a>() << <span class="stringliteral">") is of type"</span></div>
<div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  << <span class="stringliteral">" Quantized 8 bit but its scale parameter has not been set"</span>;</div>
<div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  <a class="code" href="namespacearmnn.xhtml#a3cf1cee98e0ed8b54263ec7279f6ec69">ReportError</a>(ss.str(), errMessages);</div>
<div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  }</div>
<div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  <span class="comment">// Softmax under QuantisedAsymm8 must always be scale (1.0f/256.0f) and offset 0</span></div>
<div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  <span class="keywordflow">if</span> ((<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationScale() != (1.0f / 256.0f) ||</div>
<div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationOffset() != 0) &&</div>
<div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  layer-><a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">armnn::LayerType::Softmax</a>)</div>
<div class="line"><a name="l00793"></a><span class="lineno"> 793</span>  {</div>
<div class="line"><a name="l00794"></a><span class="lineno"> 794</span>  std::stringstream ss;</div>
<div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  ss << <span class="stringliteral">"Quantization parameters for Softmax layer (Scale: "</span> <<</div>
<div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationScale() << <span class="stringliteral">" and Offset: "</span> << <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationOffset() <<</div>
<div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  <span class="stringliteral">") are incorrect and have been updated to Scale: 0.00390625 and Offset: 0"</span>;</div>
<div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd">warning</a>) << ss.str();</div>
<div class="line"><a name="l00799"></a><span class="lineno"> 799</span>  <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.SetQuantizationScale((1.0f /256.0f));</div>
<div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.SetQuantizationOffset(0);</div>
<div class="line"><a name="l00801"></a><span class="lineno"> 801</span>  outputSlot.<a class="code" href="classarmnn_1_1_output_slot.xhtml#a7e5c5771d741dd5473989047a9314728">SetTensorInfo</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div>
<div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  }</div>
<div class="line"><a name="l00803"></a><span class="lineno"> 803</span>  }</div>
<div class="line"><a name="l00804"></a><span class="lineno"> 804</span>  }</div>
<div class="line"><a name="l00805"></a><span class="lineno"> 805</span>  <span class="keywordflow">return</span> noErrors;</div>
<div class="line"><a name="l00806"></a><span class="lineno"> 806</span> }</div>
<div class="line"><a name="l00807"></a><span class="lineno"> 807</span>  </div>
<div class="line"><a name="l00808"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#abd660675ae5a9df777dcdb30c50224f6"> 808</a></span> <a class="code" href="structarmnn_1_1_optimization_result.xhtml">OptimizationResult</a> <a class="code" href="namespacearmnn.xhtml#abd660675ae5a9df777dcdb30c50224f6">AttemptBackendAssignment</a>(<a class="code" href="structarmnn_1_1_backend_settings.xhtml">BackendSettings</a>& backendSettings,</div>
<div class="line"><a name="l00809"></a><span class="lineno"> 809</span>  <a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a>& graph,</div>
<div class="line"><a name="l00810"></a><span class="lineno"> 810</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>* layer,</div>
<div class="line"><a name="l00811"></a><span class="lineno"> 811</span>  <a class="code" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> backend,</div>
<div class="line"><a name="l00812"></a><span class="lineno"> 812</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dataTypeIn,</div>
<div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dataTypeOut,</div>
<div class="line"><a name="l00814"></a><span class="lineno"> 814</span>  <span class="keyword">const</span> std::vector<BackendId>& availablePreferredBackends,</div>
<div class="line"><a name="l00815"></a><span class="lineno"> 815</span>  std::string& reasonIfUnsupported,</div>
<div class="line"><a name="l00816"></a><span class="lineno"> 816</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional</a><std::vector<std::string>&> errMessages)</div>
<div class="line"><a name="l00817"></a><span class="lineno"> 817</span> {</div>
<div class="line"><a name="l00818"></a><span class="lineno"> 818</span>  <a class="code" href="structarmnn_1_1_optimization_result.xhtml">OptimizationResult</a> result;</div>
<div class="line"><a name="l00819"></a><span class="lineno"> 819</span>  </div>
<div class="line"><a name="l00820"></a><span class="lineno"> 820</span>  <span class="comment">// Helper lambda to compose meaningful error message before returning with error</span></div>
<div class="line"><a name="l00821"></a><span class="lineno"> 821</span>  <span class="keyword">auto</span> ReturnError = [&](<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>* layer)</div>
<div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  {</div>
<div class="line"><a name="l00823"></a><span class="lineno"> 823</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#aeee4e55e6ad4fe12b2168f9fd1e88141">ReturnWithError</a>(result, layer, backendSettings, errMessages);</div>
<div class="line"><a name="l00824"></a><span class="lineno"> 824</span>  };</div>
<div class="line"><a name="l00825"></a><span class="lineno"> 825</span>  </div>
<div class="line"><a name="l00826"></a><span class="lineno"> 826</span>  <span class="comment">// need to set the compute device on the layer</span></div>
<div class="line"><a name="l00827"></a><span class="lineno"> 827</span>  <span class="comment">// before we can check if it is supported</span></div>
<div class="line"><a name="l00828"></a><span class="lineno"> 828</span>  layer-><a class="code" href="classarmnn_1_1_layer.xhtml#a316670cb6b65902e017c32ca4bcb4b98">SetBackendId</a>(backend);</div>
<div class="line"><a name="l00829"></a><span class="lineno"> 829</span>  </div>
<div class="line"><a name="l00830"></a><span class="lineno"> 830</span>  <span class="comment">// To run FP16 operations on CpuAcc we need at least v8.2 architecture. If the available architecture </span></div>
<div class="line"><a name="l00831"></a><span class="lineno"> 831</span>  <span class="comment">// is older than v8.2, we can check if the operator is supported by changing operator inputs & outputs</span></div>
<div class="line"><a name="l00832"></a><span class="lineno"> 832</span>  <span class="comment">// to be FP32 and inserting convert layers around the FP32 operator.</span></div>
<div class="line"><a name="l00833"></a><span class="lineno"> 833</span>  <span class="keywordtype">bool</span> isLayerSupported = <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a74dc9ec1a223eab8b072368b2dacee87">IWorkloadFactory::IsLayerSupported</a>(*layer, <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(), reasonIfUnsupported);</div>
<div class="line"><a name="l00834"></a><span class="lineno"> 834</span>  std::string checkStr = <span class="stringliteral">"This CPU architecture does not support F16 data type, you need v8.2 or above"</span>;</div>
<div class="line"><a name="l00835"></a><span class="lineno"> 835</span>  <span class="keywordflow">if</span> (!isLayerSupported ||</div>
<div class="line"><a name="l00836"></a><span class="lineno"> 836</span>  reasonIfUnsupported.find(checkStr) != std::string::npos)</div>
<div class="line"><a name="l00837"></a><span class="lineno"> 837</span>  {</div>
<div class="line"><a name="l00838"></a><span class="lineno"> 838</span>  <span class="keywordflow">if</span> (dataTypeIn == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a> || dataTypeOut == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>)</div>
<div class="line"><a name="l00839"></a><span class="lineno"> 839</span>  {</div>
<div class="line"><a name="l00840"></a><span class="lineno"> 840</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a74dc9ec1a223eab8b072368b2dacee87">IWorkloadFactory::IsLayerSupported</a>(*layer, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>, reasonIfUnsupported)</div>
<div class="line"><a name="l00841"></a><span class="lineno"> 841</span>  && layer-><a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() != <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">LayerType::ConvertFp32ToFp16</a></div>
<div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  && layer-><a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() != <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">LayerType::ConvertFp16ToFp32</a>)</div>
<div class="line"><a name="l00843"></a><span class="lineno"> 843</span>  {</div>
<div class="line"><a name="l00844"></a><span class="lineno"> 844</span>  <span class="keyword">auto</span> ConstantLayerFromFp16ToFp32 = [](<a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& layer)</div>
<div class="line"><a name="l00845"></a><span class="lineno"> 845</span>  {</div>
<div class="line"><a name="l00846"></a><span class="lineno"> 846</span>  <span class="keywordflow">if</span> (layer.<a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">LayerType::Constant</a>)</div>
<div class="line"><a name="l00847"></a><span class="lineno"> 847</span>  {</div>
<div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  <a class="code" href="classarmnn_1_1_constant_layer.xhtml">ConstantLayer</a>* constantLayer = PolymorphicDowncast<ConstantLayer*>(&layer);</div>
<div class="line"><a name="l00849"></a><span class="lineno"> 849</span>  </div>
<div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  <span class="keyword">auto</span>& <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a> = constantLayer-><a class="code" href="classarmnn_1_1_constant_layer.xhtml#ad0c4b8ee0efd8f9336571cbeab8a53fe">m_LayerOutput</a>->GetTensorInfo();</div>
<div class="line"><a name="l00851"></a><span class="lineno"> 851</span>  </div>
<div class="line"><a name="l00852"></a><span class="lineno"> 852</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetDataType() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>)</div>
<div class="line"><a name="l00853"></a><span class="lineno"> 853</span>  {</div>
<div class="line"><a name="l00854"></a><span class="lineno"> 854</span>  std::vector<float> newValues(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetNumElements());</div>
<div class="line"><a name="l00855"></a><span class="lineno"> 855</span>  </div>
<div class="line"><a name="l00856"></a><span class="lineno"> 856</span>  <a class="code" href="classarmnn_utils_1_1_floating_point_converter.xhtml#ac1f1568f02163a68906a0030e0ba9871">armnnUtils::FloatingPointConverter::ConvertFloat16To32</a>(</div>
<div class="line"><a name="l00857"></a><span class="lineno"> 857</span>  constantLayer-><a class="code" href="classarmnn_1_1_constant_layer.xhtml#ad0c4b8ee0efd8f9336571cbeab8a53fe">m_LayerOutput</a>->GetConstTensor<<a class="code" href="namespacearmnn.xhtml#a0b49aa352b84d572942185ce72cef751">Half</a>>(),</div>
<div class="line"><a name="l00858"></a><span class="lineno"> 858</span>  <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetNumElements(),</div>
<div class="line"><a name="l00859"></a><span class="lineno"> 859</span>  newValues.data());</div>
<div class="line"><a name="l00860"></a><span class="lineno"> 860</span>  </div>
<div class="line"><a name="l00861"></a><span class="lineno"> 861</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> newInfo(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div>
<div class="line"><a name="l00862"></a><span class="lineno"> 862</span>  newInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a71975fcec1464d639f1a78f73164d1bd">SetDataType</a>(<a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div>
<div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> newInput(newInfo, newValues);</div>
<div class="line"><a name="l00864"></a><span class="lineno"> 864</span>  constantLayer-><a class="code" href="classarmnn_1_1_constant_layer.xhtml#ad0c4b8ee0efd8f9336571cbeab8a53fe">m_LayerOutput</a>.reset(<span class="keyword">new</span> <a class="code" href="classarmnn_1_1_scoped_tensor_handle.xhtml">ScopedTensorHandle</a>(newInput));</div>
<div class="line"><a name="l00865"></a><span class="lineno"> 865</span>  </div>
<div class="line"><a name="l00866"></a><span class="lineno"> 866</span>  layer.<a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.xhtml#a7e5c5771d741dd5473989047a9314728">SetTensorInfo</a>(newInfo);</div>
<div class="line"><a name="l00867"></a><span class="lineno"> 867</span>  }</div>
<div class="line"><a name="l00868"></a><span class="lineno"> 868</span>  }</div>
<div class="line"><a name="l00869"></a><span class="lineno"> 869</span>  };</div>
<div class="line"><a name="l00870"></a><span class="lineno"> 870</span>  </div>
<div class="line"><a name="l00871"></a><span class="lineno"> 871</span>  <span class="keywordtype">bool</span> checkType = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00872"></a><span class="lineno"> 872</span>  </div>
<div class="line"><a name="l00873"></a><span class="lineno"> 873</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> inputSlot : layer-><a class="code" href="classarmnn_1_1_layer.xhtml#af5f530544d09a44d726f24702b67b35b">GetInputSlots</a>())</div>
<div class="line"><a name="l00874"></a><span class="lineno"> 874</span>  {</div>
<div class="line"><a name="l00875"></a><span class="lineno"> 875</span>  <span class="keyword">auto</span> connectedOutputSlot = inputSlot.GetConnectedOutputSlot();</div>
<div class="line"><a name="l00876"></a><span class="lineno"> 876</span>  <span class="keywordflow">if</span> (connectedOutputSlot->GetOwningLayer().GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">LayerType::Constant</a>)</div>
<div class="line"><a name="l00877"></a><span class="lineno"> 877</span>  {</div>
<div class="line"><a name="l00878"></a><span class="lineno"> 878</span>  <span class="keywordflow">if</span> (connectedOutputSlot->GetNumConnections() == 1)</div>
<div class="line"><a name="l00879"></a><span class="lineno"> 879</span>  {</div>
<div class="line"><a name="l00880"></a><span class="lineno"> 880</span>  checkType = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00881"></a><span class="lineno"> 881</span>  ConstantLayerFromFp16ToFp32(connectedOutputSlot->GetOwningLayer());</div>
<div class="line"><a name="l00882"></a><span class="lineno"> 882</span>  }</div>
<div class="line"><a name="l00883"></a><span class="lineno"> 883</span>  }</div>
<div class="line"><a name="l00884"></a><span class="lineno"> 884</span>  }</div>
<div class="line"><a name="l00885"></a><span class="lineno"> 885</span>  </div>
<div class="line"><a name="l00886"></a><span class="lineno"> 886</span>  <span class="comment">// Insert FP16 -> FP32 conversion layer before current layer</span></div>
<div class="line"><a name="l00887"></a><span class="lineno"> 887</span>  std::vector<ConvertFp16ToFp32Layer*> convertFp16ToFp32Layers;</div>
<div class="line"><a name="l00888"></a><span class="lineno"> 888</span>  <span class="keywordflow">if</span> (dataTypeIn == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>)</div>
<div class="line"><a name="l00889"></a><span class="lineno"> 889</span>  {</div>
<div class="line"><a name="l00890"></a><span class="lineno"> 890</span>  convertFp16ToFp32Layers =</div>
<div class="line"><a name="l00891"></a><span class="lineno"> 891</span>  <a class="code" href="namespacearmnn.xhtml#ad31c56533e4f9f9f51719599fbfcf7bb">InsertConvertFp16ToFp32LayersBefore</a>(graph, *layer, checkType);</div>
<div class="line"><a name="l00892"></a><span class="lineno"> 892</span>  }</div>
<div class="line"><a name="l00893"></a><span class="lineno"> 893</span>  </div>
<div class="line"><a name="l00894"></a><span class="lineno"> 894</span>  <span class="comment">// Insert FP32 -> FP16 conversion layer after current layer</span></div>
<div class="line"><a name="l00895"></a><span class="lineno"> 895</span>  std::vector<ConvertFp32ToFp16Layer*> convertFp32ToFp16Layers;</div>
<div class="line"><a name="l00896"></a><span class="lineno"> 896</span>  <span class="keywordflow">if</span> (dataTypeOut == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>)</div>
<div class="line"><a name="l00897"></a><span class="lineno"> 897</span>  {</div>
<div class="line"><a name="l00898"></a><span class="lineno"> 898</span>  convertFp32ToFp16Layers =</div>
<div class="line"><a name="l00899"></a><span class="lineno"> 899</span>  <a class="code" href="namespacearmnn.xhtml#abf625e50a5eaeafce5b39580dc95a9d3">InsertConvertFp32ToFp16LayersAfter</a>(graph, *layer);</div>
<div class="line"><a name="l00900"></a><span class="lineno"> 900</span>  }</div>
<div class="line"><a name="l00901"></a><span class="lineno"> 901</span>  </div>
<div class="line"><a name="l00902"></a><span class="lineno"> 902</span>  <span class="comment">// Assign a supported backend to the newly introduced conversion layers</span></div>
<div class="line"><a name="l00903"></a><span class="lineno"> 903</span>  <span class="keyword">auto</span> AssignFirstSupportedBackend = [&](<a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>* layer, <a class="code" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> preferredBackend)</div>
<div class="line"><a name="l00904"></a><span class="lineno"> 904</span>  {</div>
<div class="line"><a name="l00905"></a><span class="lineno"> 905</span>  <span class="keywordtype">bool</span> supportedBackendFound = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00906"></a><span class="lineno"> 906</span>  std::string reasonIfUnsupported;</div>
<div class="line"><a name="l00907"></a><span class="lineno"> 907</span>  </div>
<div class="line"><a name="l00908"></a><span class="lineno"> 908</span>  <span class="comment">// Try preferred backend first</span></div>
<div class="line"><a name="l00909"></a><span class="lineno"> 909</span>  layer-><a class="code" href="classarmnn_1_1_layer.xhtml#a316670cb6b65902e017c32ca4bcb4b98">SetBackendId</a>(preferredBackend);</div>
<div class="line"><a name="l00910"></a><span class="lineno"> 910</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a74dc9ec1a223eab8b072368b2dacee87">IWorkloadFactory::IsLayerSupported</a>(*layer,</div>
<div class="line"><a name="l00911"></a><span class="lineno"> 911</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00912"></a><span class="lineno"> 912</span>  reasonIfUnsupported))</div>
<div class="line"><a name="l00913"></a><span class="lineno"> 913</span>  {</div>
<div class="line"><a name="l00914"></a><span class="lineno"> 914</span>  supportedBackendFound = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00915"></a><span class="lineno"> 915</span>  }</div>
<div class="line"><a name="l00916"></a><span class="lineno"> 916</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00917"></a><span class="lineno"> 917</span>  {</div>
<div class="line"><a name="l00918"></a><span class="lineno"> 918</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>& backend : availablePreferredBackends)</div>
<div class="line"><a name="l00919"></a><span class="lineno"> 919</span>  {</div>
<div class="line"><a name="l00920"></a><span class="lineno"> 920</span>  <span class="comment">// Skip preferred backend (we already determined that it is not supported)</span></div>
<div class="line"><a name="l00921"></a><span class="lineno"> 921</span>  <span class="keywordflow">if</span> (backend == preferredBackend)</div>
<div class="line"><a name="l00922"></a><span class="lineno"> 922</span>  {</div>
<div class="line"><a name="l00923"></a><span class="lineno"> 923</span>  <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l00924"></a><span class="lineno"> 924</span>  }</div>
<div class="line"><a name="l00925"></a><span class="lineno"> 925</span>  </div>
<div class="line"><a name="l00926"></a><span class="lineno"> 926</span>  layer-><a class="code" href="classarmnn_1_1_layer.xhtml#a316670cb6b65902e017c32ca4bcb4b98">SetBackendId</a>(backend);</div>
<div class="line"><a name="l00927"></a><span class="lineno"> 927</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a74dc9ec1a223eab8b072368b2dacee87">IWorkloadFactory::IsLayerSupported</a>(*layer,</div>
<div class="line"><a name="l00928"></a><span class="lineno"> 928</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00929"></a><span class="lineno"> 929</span>  reasonIfUnsupported))</div>
<div class="line"><a name="l00930"></a><span class="lineno"> 930</span>  {</div>
<div class="line"><a name="l00931"></a><span class="lineno"> 931</span>  supportedBackendFound = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00932"></a><span class="lineno"> 932</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00933"></a><span class="lineno"> 933</span>  }</div>
<div class="line"><a name="l00934"></a><span class="lineno"> 934</span>  }</div>
<div class="line"><a name="l00935"></a><span class="lineno"> 935</span>  }</div>
<div class="line"><a name="l00936"></a><span class="lineno"> 936</span>  </div>
<div class="line"><a name="l00937"></a><span class="lineno"> 937</span>  <span class="keywordflow">return</span> supportedBackendFound;</div>
<div class="line"><a name="l00938"></a><span class="lineno"> 938</span>  };</div>
<div class="line"><a name="l00939"></a><span class="lineno"> 939</span>  </div>
<div class="line"><a name="l00940"></a><span class="lineno"> 940</span>  <span class="keywordflow">for</span> (<a class="code" href="classarmnn_1_1_convert_fp16_to_fp32_layer.xhtml">ConvertFp16ToFp32Layer</a>* convertLayer : convertFp16ToFp32Layers)</div>
<div class="line"><a name="l00941"></a><span class="lineno"> 941</span>  {</div>
<div class="line"><a name="l00942"></a><span class="lineno"> 942</span>  <span class="keywordflow">if</span> (!AssignFirstSupportedBackend(convertLayer, backend))</div>
<div class="line"><a name="l00943"></a><span class="lineno"> 943</span>  {</div>
<div class="line"><a name="l00944"></a><span class="lineno"> 944</span>  <span class="keywordflow">return</span> ReturnError(convertLayer);</div>
<div class="line"><a name="l00945"></a><span class="lineno"> 945</span>  }</div>
<div class="line"><a name="l00946"></a><span class="lineno"> 946</span>  }</div>
<div class="line"><a name="l00947"></a><span class="lineno"> 947</span>  </div>
<div class="line"><a name="l00948"></a><span class="lineno"> 948</span>  <span class="keywordflow">for</span> (<a class="code" href="classarmnn_1_1_convert_fp32_to_fp16_layer.xhtml">ConvertFp32ToFp16Layer</a>* convertLayer : convertFp32ToFp16Layers)</div>
<div class="line"><a name="l00949"></a><span class="lineno"> 949</span>  {</div>
<div class="line"><a name="l00950"></a><span class="lineno"> 950</span>  <span class="keywordflow">if</span> (!AssignFirstSupportedBackend(convertLayer, backend))</div>
<div class="line"><a name="l00951"></a><span class="lineno"> 951</span>  {</div>
<div class="line"><a name="l00952"></a><span class="lineno"> 952</span>  <span class="keywordflow">return</span> ReturnError(convertLayer);</div>
<div class="line"><a name="l00953"></a><span class="lineno"> 953</span>  }</div>
<div class="line"><a name="l00954"></a><span class="lineno"> 954</span>  }</div>
<div class="line"><a name="l00955"></a><span class="lineno"> 955</span>  </div>
<div class="line"><a name="l00956"></a><span class="lineno"> 956</span>  <span class="keywordflow">return</span> result;</div>
<div class="line"><a name="l00957"></a><span class="lineno"> 957</span>  }</div>
<div class="line"><a name="l00958"></a><span class="lineno"> 958</span>  }</div>
<div class="line"><a name="l00959"></a><span class="lineno"> 959</span>  </div>
<div class="line"><a name="l00960"></a><span class="lineno"> 960</span>  std::stringstream warningMsg;</div>
<div class="line"><a name="l00961"></a><span class="lineno"> 961</span>  warningMsg << <span class="stringliteral">"Layer of type "</span> << <a class="code" href="namespacearmnn.xhtml#addb6b14dd1b632263ffe77430259a7c4">GetLayerTypeAsCString</a>(layer-><a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>())</div>
<div class="line"><a name="l00962"></a><span class="lineno"> 962</span>  << <span class="stringliteral">" is not supported on requested backend "</span> << layer-><a class="code" href="classarmnn_1_1_layer.xhtml#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a>().<a class="code" href="classarmnn_1_1_backend_id.xhtml#af7445617163d3f07c47b92ae56c6cf8b">Get</a>()</div>
<div class="line"><a name="l00963"></a><span class="lineno"> 963</span>  << <span class="stringliteral">" for input data type "</span> << <a class="code" href="namespacearmnn.xhtml#a81b5ff8545adad19a1c9d4ca076d552c">GetDataTypeName</a>(dataTypeIn)</div>
<div class="line"><a name="l00964"></a><span class="lineno"> 964</span>  << <span class="stringliteral">" and output data type "</span> << <a class="code" href="namespacearmnn.xhtml#a81b5ff8545adad19a1c9d4ca076d552c">GetDataTypeName</a>(dataTypeOut)</div>
<div class="line"><a name="l00965"></a><span class="lineno"> 965</span>  << <span class="stringliteral">" (reason: "</span> << reasonIfUnsupported</div>
<div class="line"><a name="l00966"></a><span class="lineno"> 966</span>  << <span class="stringliteral">"), falling back to the next backend."</span>;</div>
<div class="line"><a name="l00967"></a><span class="lineno"> 967</span>  <a class="code" href="namespacearmnn.xhtml#a070307e9ee0f7969f7d4320145d1dddb">ReportWarning</a>(warningMsg.str(), errMessages);</div>
<div class="line"><a name="l00968"></a><span class="lineno"> 968</span>  </div>
<div class="line"><a name="l00969"></a><span class="lineno"> 969</span>  <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_optimization_result.xhtml">OptimizationResult</a>(<span class="keyword">true</span>, <span class="keyword">false</span>);</div>
<div class="line"><a name="l00970"></a><span class="lineno"> 970</span>  }</div>
<div class="line"><a name="l00971"></a><span class="lineno"> 971</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00972"></a><span class="lineno"> 972</span>  {</div>
<div class="line"><a name="l00973"></a><span class="lineno"> 973</span>  <span class="keywordflow">return</span> result;</div>
<div class="line"><a name="l00974"></a><span class="lineno"> 974</span>  }</div>
<div class="line"><a name="l00975"></a><span class="lineno"> 975</span> }</div>
<div class="line"><a name="l00976"></a><span class="lineno"> 976</span>  </div>
<div class="line"><a name="l00977"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a2b8ec686784330e8f20e4444f1ed7e98"> 977</a></span> <span class="keyword">inline</span> std::vector<DataType> <a class="code" href="namespacearmnn.xhtml#a2b8ec686784330e8f20e4444f1ed7e98">GetLayerInOutDatatype</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>* layer)</div>
<div class="line"><a name="l00978"></a><span class="lineno"> 978</span> {</div>
<div class="line"><a name="l00979"></a><span class="lineno"> 979</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dataTypeIn = layer-><a class="code" href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>() == 0 ? <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a> :</div>
<div class="line"><a name="l00980"></a><span class="lineno"> 980</span>  layer-><a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>();</div>
<div class="line"><a name="l00981"></a><span class="lineno"> 981</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dataTypeOut = layer-><a class="code" href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>() == 0 ? <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a> :</div>
<div class="line"><a name="l00982"></a><span class="lineno"> 982</span>  layer-><a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>();</div>
<div class="line"><a name="l00983"></a><span class="lineno"> 983</span>  <span class="keywordflow">return</span> {dataTypeIn, dataTypeOut};</div>
<div class="line"><a name="l00984"></a><span class="lineno"> 984</span> }</div>
<div class="line"><a name="l00985"></a><span class="lineno"> 985</span>  </div>
<div class="line"><a name="l00986"></a><span class="lineno"> 986</span> <span class="comment">// Refactor to allow passing the IConnectableLayer* rather than Layer Iterator</span></div>
<div class="line"><a name="l00987"></a><span class="lineno"> 987</span> <span class="comment">// on Graph and SubgraphView which are different types.</span></div>
<div class="line"><a name="l00988"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#af52a698836d638d0a71263c6c1496a05"> 988</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.xhtml#af52a698836d638d0a71263c6c1496a05">AssignBackendsIConnectable</a>(<a class="code" href="classarmnn_1_1_optimized_network_impl.xhtml">OptimizedNetworkImpl</a>* optNetObjPtr,</div>
<div class="line"><a name="l00989"></a><span class="lineno"> 989</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* it,</div>
<div class="line"><a name="l00990"></a><span class="lineno"> 990</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional</a><std::vector<std::string>&> errMessages,</div>
<div class="line"><a name="l00991"></a><span class="lineno"> 991</span>  <a class="code" href="structarmnn_1_1_optimization_result.xhtml">OptimizationResult</a>& result,</div>
<div class="line"><a name="l00992"></a><span class="lineno"> 992</span>  <a class="code" href="structarmnn_1_1_backend_settings.xhtml">BackendSettings</a>& backendSettings,</div>
<div class="line"><a name="l00993"></a><span class="lineno"> 993</span>  std::vector<BackendId>& availablePreferredBackends)</div>
<div class="line"><a name="l00994"></a><span class="lineno"> 994</span> {</div>
<div class="line"><a name="l00995"></a><span class="lineno"> 995</span>  <span class="keyword">auto</span> ReturnError = [&](<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>* layer)</div>
<div class="line"><a name="l00996"></a><span class="lineno"> 996</span>  {</div>
<div class="line"><a name="l00997"></a><span class="lineno"> 997</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#aeee4e55e6ad4fe12b2168f9fd1e88141">ReturnWithError</a>(result, layer, backendSettings, errMessages);</div>
<div class="line"><a name="l00998"></a><span class="lineno"> 998</span>  };</div>
<div class="line"><a name="l00999"></a><span class="lineno"> 999</span>  </div>
<div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>  <span class="keyword">auto</span> layer = PolymorphicDowncast<Layer*>(it);</div>
<div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>  </div>
<div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>  <span class="keywordflow">if</span> (layer->GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>)</div>
<div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>  {</div>
<div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>  <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>  }</div>
<div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>  </div>
<div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>  std::vector<DataType> inOutDataType = <a class="code" href="namespacearmnn.xhtml#a2b8ec686784330e8f20e4444f1ed7e98">GetLayerInOutDatatype</a>(layer);</div>
<div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>  </div>
<div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>  std::string reasonIfUnsupported;</div>
<div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>  <span class="keywordtype">bool</span> found = <span class="keyword">false</span>;</div>
<div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>  <span class="keywordflow">if</span> (!<a class="code" href="namespacearmnn.xhtml#a8bf1222ae8931bf663fa076b3e3b6f0e">CheckScaleSetOnQuantizedType</a>(layer, errMessages))</div>
<div class="line"><a name="l01012"></a><span class="lineno"> 1012</span>  {</div>
<div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>  <span class="comment">// don't bomb immediately, find all the quantized outputs</span></div>
<div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>  <span class="comment">// which haven't had a scale set and report them all back.</span></div>
<div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>  result.<a class="code" href="structarmnn_1_1_optimization_result.xhtml#a41a657cfacb52a80a73575c5c730ab88">m_Error</a> = <span class="keyword">true</span>;</div>
<div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>  }</div>
<div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>  </div>
<div class="line"><a name="l01018"></a><span class="lineno"> 1018</span>  <span class="comment">// First try assign layer to hint backend</span></div>
<div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>  <span class="keywordflow">if</span> (layer->GetBackendHint().has_value() &&</div>
<div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>  backendSettings.<a class="code" href="structarmnn_1_1_backend_settings.xhtml#aa5df3120ee0fbb3321df3133ec9e83ae">IsBackendSupported</a>(layer->GetBackendHint().value()) &&</div>
<div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>  <a class="code" href="namespacearmnn.xhtml#abd660675ae5a9df777dcdb30c50224f6">AttemptBackendAssignment</a>(backendSettings,</div>
<div class="line"><a name="l01022"></a><span class="lineno"> 1022</span>  optNetObjPtr-><a class="code" href="classarmnn_1_1_optimized_network_impl.xhtml#a49800ad35ea869aa5569519760d3b339">GetGraph</a>(),</div>
<div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>  layer,</div>
<div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>  layer->GetBackendHint().value(),</div>
<div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>  inOutDataType[0],</div>
<div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>  inOutDataType[1],</div>
<div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>  availablePreferredBackends,</div>
<div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>  reasonIfUnsupported,</div>
<div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>  errMessages).<a class="code" href="structarmnn_1_1_optimization_result.xhtml#a955b65059e7f9429a5d6041136bc1487">IsOk</a>())</div>
<div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>  {</div>
<div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>  found = <span class="keyword">true</span>;</div>
<div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>  backendSettings.<a class="code" href="structarmnn_1_1_backend_settings.xhtml#aa09ac75b83067c5ed455f2bb35c7c98d">m_SelectedBackends</a>.insert(layer->GetBackendHint().value());</div>
<div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>  }</div>
<div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>  {</div>
<div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>  <span class="comment">// Try assign layer to prefered list of backends</span></div>
<div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>& backend : availablePreferredBackends)</div>
<div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>  {</div>
<div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>  <span class="keywordflow">if</span> (layer->GetBackendHint().has_value() &&</div>
<div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>  layer->GetBackendHint().value() == backend)</div>
<div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>  {</div>
<div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>  <span class="keywordflow">continue</span>; <span class="comment">//Don't re-test the backend hint</span></div>
<div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>  }</div>
<div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>  </div>
<div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>  <a class="code" href="structarmnn_1_1_optimization_result.xhtml">OptimizationResult</a> res = <a class="code" href="namespacearmnn.xhtml#abd660675ae5a9df777dcdb30c50224f6">AttemptBackendAssignment</a>(backendSettings,</div>
<div class="line"><a name="l01046"></a><span class="lineno"> 1046</span>  optNetObjPtr-><a class="code" href="classarmnn_1_1_optimized_network_impl.xhtml#a49800ad35ea869aa5569519760d3b339">GetGraph</a>(),</div>
<div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>  layer,</div>
<div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>  backend,</div>
<div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>  inOutDataType[0],</div>
<div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>  inOutDataType[1],</div>
<div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>  availablePreferredBackends,</div>
<div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>  reasonIfUnsupported,</div>
<div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>  errMessages);</div>
<div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>  </div>
<div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>  <span class="keywordflow">if</span> (res.<a class="code" href="structarmnn_1_1_optimization_result.xhtml#a955b65059e7f9429a5d6041136bc1487">IsOk</a>())</div>
<div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>  {</div>
<div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>  found = <span class="keyword">true</span>;</div>
<div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>  backendSettings.<a class="code" href="structarmnn_1_1_backend_settings.xhtml#aa09ac75b83067c5ed455f2bb35c7c98d">m_SelectedBackends</a>.insert(backend);</div>
<div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>  }</div>
<div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (res.<a class="code" href="structarmnn_1_1_optimization_result.xhtml#aca1654c65182fe4e7d5fd45f556fcd57">IsError</a>())</div>
<div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>  {</div>
<div class="line"><a name="l01063"></a><span class="lineno"> 1063</span>  result = res; <span class="comment">// Cannot continue.</span></div>
<div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>  <span class="comment">// Note: we don't need to log the error as it would already</span></div>
<div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>  <span class="comment">// be logged in AttemptBackendAssignment().</span></div>
<div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>  }</div>
<div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>  {</div>
<div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(res.<a class="code" href="structarmnn_1_1_optimization_result.xhtml#a2a35773a5a0e08b180a12205c3e15500">IsWarningOnly</a>(), <span class="stringliteral">"OptimizationResult in unexpected state."</span>);</div>
<div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>  }</div>
<div class="line"><a name="l01071"></a><span class="lineno"> 1071</span>  }</div>
<div class="line"><a name="l01072"></a><span class="lineno"> 1072</span>  }</div>
<div class="line"><a name="l01073"></a><span class="lineno"> 1073</span>  </div>
<div class="line"><a name="l01074"></a><span class="lineno"> 1074</span>  <span class="comment">// If the layer is unsupported by any devices, log and return a null network.</span></div>
<div class="line"><a name="l01075"></a><span class="lineno"> 1075</span>  <span class="keywordflow">if</span> (!found)</div>
<div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>  {</div>
<div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>  <span class="comment">// NOTE: if the layer is not an operation queue type AND we have not got CpuRef as a</span></div>
<div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>  <span class="comment">// fallback we should set the compute device on the layer to CpuRef (these are not</span></div>
<div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>  <span class="comment">// available as accelerated operations, or are only available under certain</span></div>
<div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>  <span class="comment">// conditions, currently they comprise MemCopy, Constant, Permute)</span></div>
<div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>  <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a> layerType = layer->GetType();</div>
<div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>  <span class="keywordflow">if</span> (!backendSettings.<a class="code" href="structarmnn_1_1_backend_settings.xhtml#ae4f9f2c5e3b5cf694315f66cde5b33f0">IsCpuRefUsed</a>() && (layerType == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">armnn::LayerType::MemCopy</a> ||</div>
<div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>  layerType == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a> ||</div>
<div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>  layerType == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">armnn::LayerType::Permute</a>))</div>
<div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>  {</div>
<div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>  <a class="code" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> cpuBackendId(<a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">armnn::Compute::CpuRef</a>);</div>
<div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>  layer->SetBackendId(cpuBackendId);</div>
<div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>  backendSettings.<a class="code" href="structarmnn_1_1_backend_settings.xhtml#aa09ac75b83067c5ed455f2bb35c7c98d">m_SelectedBackends</a>.insert(cpuBackendId);</div>
<div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>  }</div>
<div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>  {</div>
<div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>  result = ReturnError(layer);</div>
<div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>  }</div>
<div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>  }</div>
<div class="line"><a name="l01095"></a><span class="lineno"> 1095</span>  </div>
<div class="line"><a name="l01096"></a><span class="lineno"> 1096</span> }</div>
<div class="line"><a name="l01097"></a><span class="lineno"> 1097</span>  </div>
<div class="line"><a name="l01098"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a839ad76f1f52a70b540805b231f05d9c"> 1098</a></span> <a class="code" href="structarmnn_1_1_optimization_result.xhtml">OptimizationResult</a> <a class="code" href="namespacearmnn.xhtml#a839ad76f1f52a70b540805b231f05d9c">AssignBackends</a>(<a class="code" href="classarmnn_1_1_optimized_network_impl.xhtml">OptimizedNetworkImpl</a>* optNetObjPtr,</div>
<div class="line"><a name="l01099"></a><span class="lineno"> 1099</span>  <a class="code" href="structarmnn_1_1_backend_settings.xhtml">BackendSettings</a>& backendSettings,</div>
<div class="line"><a name="l01100"></a><span class="lineno"> 1100</span>  <a class="code" href="classarmnn_1_1_graph.xhtml#acc25db0641c1c22faf95af3bb49080c9">Graph::Iterator</a>& firstLayer,</div>
<div class="line"><a name="l01101"></a><span class="lineno"> 1101</span>  <a class="code" href="classarmnn_1_1_graph.xhtml#acc25db0641c1c22faf95af3bb49080c9">Graph::Iterator</a>& lastLayer,</div>
<div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional</a><std::vector<std::string>&> errMessages)</div>
<div class="line"><a name="l01103"></a><span class="lineno"> 1103</span> {</div>
<div class="line"><a name="l01104"></a><span class="lineno"> 1104</span>  <a class="code" href="_profiling_8hpp.xhtml#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"Optimizer_AssignBackends"</span>);</div>
<div class="line"><a name="l01105"></a><span class="lineno"> 1105</span>  <a class="code" href="structarmnn_1_1_optimization_result.xhtml">OptimizationResult</a> result;</div>
<div class="line"><a name="l01106"></a><span class="lineno"> 1106</span>  </div>
<div class="line"><a name="l01107"></a><span class="lineno"> 1107</span>  <span class="keyword">auto</span> availablePreferredBackends = backendSettings.<a class="code" href="structarmnn_1_1_backend_settings.xhtml#ad4ca579528452c669b45f3f35300fd4e">GetAvailablePreferredBackends</a>();</div>
<div class="line"><a name="l01108"></a><span class="lineno"> 1108</span>  <span class="keywordflow">if</span> (availablePreferredBackends.empty())</div>
<div class="line"><a name="l01109"></a><span class="lineno"> 1109</span>  {</div>
<div class="line"><a name="l01110"></a><span class="lineno"> 1110</span>  std::stringstream failureMsg;</div>
<div class="line"><a name="l01111"></a><span class="lineno"> 1111</span>  failureMsg << <span class="stringliteral">"No preferred backends are available"</span>;</div>
<div class="line"><a name="l01112"></a><span class="lineno"> 1112</span>  <a class="code" href="namespacearmnn.xhtml#a3cf1cee98e0ed8b54263ec7279f6ec69">ReportError</a>(failureMsg.str(), errMessages);</div>
<div class="line"><a name="l01113"></a><span class="lineno"> 1113</span>  </div>
<div class="line"><a name="l01114"></a><span class="lineno"> 1114</span>  result.<a class="code" href="structarmnn_1_1_optimization_result.xhtml#a41a657cfacb52a80a73575c5c730ab88">m_Error</a> = <span class="keyword">true</span>;</div>
<div class="line"><a name="l01115"></a><span class="lineno"> 1115</span>  <span class="keywordflow">return</span> result;</div>
<div class="line"><a name="l01116"></a><span class="lineno"> 1116</span>  }</div>
<div class="line"><a name="l01117"></a><span class="lineno"> 1117</span>  </div>
<div class="line"><a name="l01118"></a><span class="lineno"> 1118</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> it = firstLayer; it != lastLayer; ++it)</div>
<div class="line"><a name="l01119"></a><span class="lineno"> 1119</span>  {</div>
<div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>  <span class="keyword">auto</span> layer = PolymorphicDowncast<Layer*>(*it);</div>
<div class="line"><a name="l01121"></a><span class="lineno"> 1121</span>  std::vector<DataType> inOutDataType = <a class="code" href="namespacearmnn.xhtml#a2b8ec686784330e8f20e4444f1ed7e98">GetLayerInOutDatatype</a>(layer);</div>
<div class="line"><a name="l01122"></a><span class="lineno"> 1122</span>  </div>
<div class="line"><a name="l01123"></a><span class="lineno"> 1123</span>  <span class="comment">// In AttemptBackendAssignment() we check:</span></div>
<div class="line"><a name="l01124"></a><span class="lineno"> 1124</span>  <span class="comment">// - if input/output datatypes of the layer are float16</span></div>
<div class="line"><a name="l01125"></a><span class="lineno"> 1125</span>  <span class="comment">// - if the layer is supported with these datatypes</span></div>
<div class="line"><a name="l01126"></a><span class="lineno"> 1126</span>  <span class="comment">// If the layer is not supported (failing on ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED() in clframework),</span></div>
<div class="line"><a name="l01127"></a><span class="lineno"> 1127</span>  <span class="comment">// we attempt to insert convertion layers either side of the new fp32 layer.</span></div>
<div class="line"><a name="l01128"></a><span class="lineno"> 1128</span>  <span class="keywordtype">bool</span> isFloat16 = <span class="keyword">false</span>;</div>
<div class="line"><a name="l01129"></a><span class="lineno"> 1129</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> type : inOutDataType)</div>
<div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>  {</div>
<div class="line"><a name="l01131"></a><span class="lineno"> 1131</span>  <span class="keywordflow">if</span> (type == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>)</div>
<div class="line"><a name="l01132"></a><span class="lineno"> 1132</span>  {</div>
<div class="line"><a name="l01133"></a><span class="lineno"> 1133</span>  isFloat16 = <span class="keyword">true</span>;</div>
<div class="line"><a name="l01134"></a><span class="lineno"> 1134</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l01135"></a><span class="lineno"> 1135</span>  }</div>
<div class="line"><a name="l01136"></a><span class="lineno"> 1136</span>  }</div>
<div class="line"><a name="l01137"></a><span class="lineno"> 1137</span>  </div>
<div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>  <span class="keywordflow">if</span> (layer->GetBackendId() == <span class="stringliteral">"Unknown"</span> || isFloat16)</div>
<div class="line"><a name="l01139"></a><span class="lineno"> 1139</span>  {</div>
<div class="line"><a name="l01140"></a><span class="lineno"> 1140</span>  <a class="code" href="namespacearmnn.xhtml#af52a698836d638d0a71263c6c1496a05">AssignBackendsIConnectable</a>(optNetObjPtr,</div>
<div class="line"><a name="l01141"></a><span class="lineno"> 1141</span>  *it,</div>
<div class="line"><a name="l01142"></a><span class="lineno"> 1142</span>  errMessages,</div>
<div class="line"><a name="l01143"></a><span class="lineno"> 1143</span>  result,</div>
<div class="line"><a name="l01144"></a><span class="lineno"> 1144</span>  backendSettings,</div>
<div class="line"><a name="l01145"></a><span class="lineno"> 1145</span>  availablePreferredBackends);</div>
<div class="line"><a name="l01146"></a><span class="lineno"> 1146</span>  }</div>
<div class="line"><a name="l01147"></a><span class="lineno"> 1147</span>  }</div>
<div class="line"><a name="l01148"></a><span class="lineno"> 1148</span>  </div>
<div class="line"><a name="l01149"></a><span class="lineno"> 1149</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> it = firstLayer; it != lastLayer; ++it)</div>
<div class="line"><a name="l01150"></a><span class="lineno"> 1150</span>  {</div>
<div class="line"><a name="l01151"></a><span class="lineno"> 1151</span>  <span class="keyword">auto</span> layer = PolymorphicDowncast<Layer*>(*it);</div>
<div class="line"><a name="l01152"></a><span class="lineno"> 1152</span>  </div>
<div class="line"><a name="l01153"></a><span class="lineno"> 1153</span>  <span class="keywordflow">if</span>(layer->GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>)</div>
<div class="line"><a name="l01154"></a><span class="lineno"> 1154</span>  {</div>
<div class="line"><a name="l01155"></a><span class="lineno"> 1155</span>  <a class="code" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> connectedBackendId = layer->GetOutputSlot(0).GetConnection(0)->GetOwningLayer().GetBackendId();</div>
<div class="line"><a name="l01156"></a><span class="lineno"> 1156</span>  layer->SetBackendId(connectedBackendId);</div>
<div class="line"><a name="l01157"></a><span class="lineno"> 1157</span>  }</div>
<div class="line"><a name="l01158"></a><span class="lineno"> 1158</span>  }</div>
<div class="line"><a name="l01159"></a><span class="lineno"> 1159</span>  </div>
<div class="line"><a name="l01160"></a><span class="lineno"> 1160</span>  <span class="keywordflow">return</span> result;</div>
<div class="line"><a name="l01161"></a><span class="lineno"> 1161</span> }</div>
<div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>  </div>
<div class="line"><a name="l01163"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a4a0c704ab68e6741579b60b681e5d919"> 1163</a></span> <a class="code" href="structarmnn_1_1_optimization_result.xhtml">OptimizationResult</a> <a class="code" href="namespacearmnn.xhtml#a839ad76f1f52a70b540805b231f05d9c">AssignBackends</a>(<a class="code" href="classarmnn_1_1_optimized_network_impl.xhtml">OptimizedNetworkImpl</a>* optNetObjPtr,</div>
<div class="line"><a name="l01164"></a><span class="lineno"> 1164</span>  <a class="code" href="structarmnn_1_1_backend_settings.xhtml">BackendSettings</a>& backendSettings,</div>
<div class="line"><a name="l01165"></a><span class="lineno"> 1165</span>  <a class="code" href="classarmnn_1_1_subgraph_view.xhtml#a308b86dbdd0a745cef76904674c9850f">SubgraphView::IConnectableLayerIterator</a>& firstLayer,</div>
<div class="line"><a name="l01166"></a><span class="lineno"> 1166</span>  <a class="code" href="classarmnn_1_1_subgraph_view.xhtml#a308b86dbdd0a745cef76904674c9850f">SubgraphView::IConnectableLayerIterator</a>& lastLayer,</div>
<div class="line"><a name="l01167"></a><span class="lineno"> 1167</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional</a><std::vector<std::string>&> errMessages)</div>
<div class="line"><a name="l01168"></a><span class="lineno"> 1168</span> {</div>
<div class="line"><a name="l01169"></a><span class="lineno"> 1169</span>  <a class="code" href="_profiling_8hpp.xhtml#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"Optimizer_AssignBackends"</span>);</div>
<div class="line"><a name="l01170"></a><span class="lineno"> 1170</span>  <a class="code" href="structarmnn_1_1_optimization_result.xhtml">OptimizationResult</a> result;</div>
<div class="line"><a name="l01171"></a><span class="lineno"> 1171</span>  </div>
<div class="line"><a name="l01172"></a><span class="lineno"> 1172</span>  <span class="keyword">auto</span> availablePreferredBackends = backendSettings.<a class="code" href="structarmnn_1_1_backend_settings.xhtml#ad4ca579528452c669b45f3f35300fd4e">GetAvailablePreferredBackends</a>();</div>
<div class="line"><a name="l01173"></a><span class="lineno"> 1173</span>  <span class="keywordflow">if</span> (availablePreferredBackends.empty())</div>
<div class="line"><a name="l01174"></a><span class="lineno"> 1174</span>  {</div>
<div class="line"><a name="l01175"></a><span class="lineno"> 1175</span>  std::stringstream failureMsg;</div>
<div class="line"><a name="l01176"></a><span class="lineno"> 1176</span>  failureMsg << <span class="stringliteral">"No preferred backends are available"</span>;</div>
<div class="line"><a name="l01177"></a><span class="lineno"> 1177</span>  <a class="code" href="namespacearmnn.xhtml#a3cf1cee98e0ed8b54263ec7279f6ec69">ReportError</a>(failureMsg.str(), errMessages);</div>
<div class="line"><a name="l01178"></a><span class="lineno"> 1178</span>  </div>
<div class="line"><a name="l01179"></a><span class="lineno"> 1179</span>  result.<a class="code" href="structarmnn_1_1_optimization_result.xhtml#a41a657cfacb52a80a73575c5c730ab88">m_Error</a> = <span class="keyword">true</span>;</div>
<div class="line"><a name="l01180"></a><span class="lineno"> 1180</span>  <span class="keywordflow">return</span> result;</div>
<div class="line"><a name="l01181"></a><span class="lineno"> 1181</span>  }</div>
<div class="line"><a name="l01182"></a><span class="lineno"> 1182</span>  </div>
<div class="line"><a name="l01183"></a><span class="lineno"> 1183</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> it = firstLayer; it != lastLayer; ++it)</div>
<div class="line"><a name="l01184"></a><span class="lineno"> 1184</span>  {</div>
<div class="line"><a name="l01185"></a><span class="lineno"> 1185</span>  <a class="code" href="namespacearmnn.xhtml#af52a698836d638d0a71263c6c1496a05">AssignBackendsIConnectable</a>(optNetObjPtr,</div>
<div class="line"><a name="l01186"></a><span class="lineno"> 1186</span>  *it,</div>
<div class="line"><a name="l01187"></a><span class="lineno"> 1187</span>  errMessages,</div>
<div class="line"><a name="l01188"></a><span class="lineno"> 1188</span>  result,</div>
<div class="line"><a name="l01189"></a><span class="lineno"> 1189</span>  backendSettings,</div>
<div class="line"><a name="l01190"></a><span class="lineno"> 1190</span>  availablePreferredBackends);</div>
<div class="line"><a name="l01191"></a><span class="lineno"> 1191</span>  }</div>
<div class="line"><a name="l01192"></a><span class="lineno"> 1192</span>  </div>
<div class="line"><a name="l01193"></a><span class="lineno"> 1193</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> it = firstLayer; it != lastLayer; ++it)</div>
<div class="line"><a name="l01194"></a><span class="lineno"> 1194</span>  {</div>
<div class="line"><a name="l01195"></a><span class="lineno"> 1195</span>  <span class="keyword">auto</span> layer = PolymorphicDowncast<Layer*>(*it);</div>
<div class="line"><a name="l01196"></a><span class="lineno"> 1196</span>  </div>
<div class="line"><a name="l01197"></a><span class="lineno"> 1197</span>  <span class="keywordflow">if</span>(layer->GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>)</div>
<div class="line"><a name="l01198"></a><span class="lineno"> 1198</span>  {</div>
<div class="line"><a name="l01199"></a><span class="lineno"> 1199</span>  <a class="code" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> connectedBackendId = layer->GetOutputSlot(0).GetConnection(0)->GetOwningLayer().GetBackendId();</div>
<div class="line"><a name="l01200"></a><span class="lineno"> 1200</span>  layer->SetBackendId(connectedBackendId);</div>
<div class="line"><a name="l01201"></a><span class="lineno"> 1201</span>  }</div>
<div class="line"><a name="l01202"></a><span class="lineno"> 1202</span>  }</div>
<div class="line"><a name="l01203"></a><span class="lineno"> 1203</span>  </div>
<div class="line"><a name="l01204"></a><span class="lineno"> 1204</span>  <span class="keywordflow">return</span> result;</div>
<div class="line"><a name="l01205"></a><span class="lineno"> 1205</span> }</div>
<div class="line"><a name="l01206"></a><span class="lineno"> 1206</span>  </div>
<div class="line"><a name="l01207"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a0ea4ff80d0075ff847e96dc12e734368"> 1207</a></span> <a class="code" href="structarmnn_1_1_optimization_result.xhtml">OptimizationResult</a> <a class="code" href="namespacearmnn.xhtml#a839ad76f1f52a70b540805b231f05d9c">AssignBackends</a>(<a class="code" href="classarmnn_1_1_optimized_network_impl.xhtml">OptimizedNetworkImpl</a>* optNetObjPtr,</div>
<div class="line"><a name="l01208"></a><span class="lineno"> 1208</span>  <a class="code" href="structarmnn_1_1_backend_settings.xhtml">BackendSettings</a>& backendSettings,</div>
<div class="line"><a name="l01209"></a><span class="lineno"> 1209</span>  <a class="code" href="classarmnn_1_1_subgraph_view.xhtml">SubgraphView</a>& subgraph,</div>
<div class="line"><a name="l01210"></a><span class="lineno"> 1210</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional</a><std::vector<std::string>&> errMessages)</div>
<div class="line"><a name="l01211"></a><span class="lineno"> 1211</span> {</div>
<div class="line"><a name="l01212"></a><span class="lineno"> 1212</span>  <a class="code" href="classarmnn_1_1_subgraph_view.xhtml#a308b86dbdd0a745cef76904674c9850f">SubgraphView::IConnectableLayerIterator</a> firstLayer = subgraph.<a class="code" href="classarmnn_1_1_subgraph_view.xhtml#ae7f023c08e38703a2b8286013885b409">beginIConnectable</a>();</div>
<div class="line"><a name="l01213"></a><span class="lineno"> 1213</span>  <a class="code" href="classarmnn_1_1_subgraph_view.xhtml#a308b86dbdd0a745cef76904674c9850f">SubgraphView::IConnectableLayerIterator</a> lastLayer = subgraph.<a class="code" href="classarmnn_1_1_subgraph_view.xhtml#a0761bda72b62372d1495cbe9771a75a9">endIConnectable</a>();</div>
<div class="line"><a name="l01214"></a><span class="lineno"> 1214</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a839ad76f1f52a70b540805b231f05d9c">AssignBackends</a>(optNetObjPtr,</div>
<div class="line"><a name="l01215"></a><span class="lineno"> 1215</span>  backendSettings,</div>
<div class="line"><a name="l01216"></a><span class="lineno"> 1216</span>  firstLayer,</div>
<div class="line"><a name="l01217"></a><span class="lineno"> 1217</span>  lastLayer,</div>
<div class="line"><a name="l01218"></a><span class="lineno"> 1218</span>  errMessages);</div>
<div class="line"><a name="l01219"></a><span class="lineno"> 1219</span> }</div>
<div class="line"><a name="l01220"></a><span class="lineno"> 1220</span>  </div>
<div class="line"><a name="l01221"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a1ec6b4c20ed294a96cf94c33c24caaf5"> 1221</a></span> <a class="code" href="namespacearmnn.xhtml#a9173495a61a0092b5f38b855f02c3585">BackendsMap</a> <a class="code" href="namespacearmnn.xhtml#a1ec6b4c20ed294a96cf94c33c24caaf5">CreateSupportedBackends</a>(<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">TensorHandleFactoryRegistry</a>& handleFactoryRegistry,</div>
<div class="line"><a name="l01222"></a><span class="lineno"> 1222</span>  <a class="code" href="structarmnn_1_1_backend_settings.xhtml">BackendSettings</a>& backendSettings)</div>
<div class="line"><a name="l01223"></a><span class="lineno"> 1223</span> {</div>
<div class="line"><a name="l01224"></a><span class="lineno"> 1224</span>  <a class="code" href="namespacearmnn.xhtml#a9173495a61a0092b5f38b855f02c3585">BackendsMap</a> backends;</div>
<div class="line"><a name="l01225"></a><span class="lineno"> 1225</span>  <span class="keyword">auto</span> <span class="keyword">const</span>& backendRegistry = <a class="code" href="namespacearmnn.xhtml#ac2807505b850738bc8a1991ce669dd47">BackendRegistryInstance</a>();</div>
<div class="line"><a name="l01226"></a><span class="lineno"> 1226</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& selectedBackend : backendSettings.<a class="code" href="structarmnn_1_1_backend_settings.xhtml#a0b160952af61b24d88125d66ed6d43c1">m_SupportedBackends</a>)</div>
<div class="line"><a name="l01227"></a><span class="lineno"> 1227</span>  {</div>
<div class="line"><a name="l01228"></a><span class="lineno"> 1228</span>  <span class="keyword">auto</span> backendFactory = backendRegistry.GetFactory(selectedBackend);</div>
<div class="line"><a name="l01229"></a><span class="lineno"> 1229</span>  <span class="keyword">auto</span> backendObjPtr = backendFactory();</div>
<div class="line"><a name="l01230"></a><span class="lineno"> 1230</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(backendObjPtr);</div>
<div class="line"><a name="l01231"></a><span class="lineno"> 1231</span>  </div>
<div class="line"><a name="l01232"></a><span class="lineno"> 1232</span>  backendObjPtr->RegisterTensorHandleFactories(handleFactoryRegistry);</div>
<div class="line"><a name="l01233"></a><span class="lineno"> 1233</span>  </div>
<div class="line"><a name="l01234"></a><span class="lineno"> 1234</span>  backends[backendObjPtr->GetId()] = std::move(backendObjPtr);</div>
<div class="line"><a name="l01235"></a><span class="lineno"> 1235</span>  }</div>
<div class="line"><a name="l01236"></a><span class="lineno"> 1236</span>  </div>
<div class="line"><a name="l01237"></a><span class="lineno"> 1237</span>  <span class="keywordflow">return</span> backends;</div>
<div class="line"><a name="l01238"></a><span class="lineno"> 1238</span> }</div>
<div class="line"><a name="l01239"></a><span class="lineno"> 1239</span>  </div>
<div class="line"><a name="l01240"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ac39f2b15d34d3e2fc74d586fc3e26231"> 1240</a></span> <a class="code" href="structarmnn_1_1_optimization_result.xhtml">OptimizationResult</a> <a class="code" href="namespacearmnn.xhtml#ac39f2b15d34d3e2fc74d586fc3e26231">ApplyBackendOptimizations</a>(<a class="code" href="classarmnn_1_1_optimized_network_impl.xhtml">OptimizedNetworkImpl</a>* optNetObjPtr,</div>
<div class="line"><a name="l01241"></a><span class="lineno"> 1241</span>  <a class="code" href="structarmnn_1_1_backend_settings.xhtml">BackendSettings</a>& backendSettings,</div>
<div class="line"><a name="l01242"></a><span class="lineno"> 1242</span>  <a class="code" href="namespacearmnn.xhtml#a9173495a61a0092b5f38b855f02c3585">BackendsMap</a>& backends,</div>
<div class="line"><a name="l01243"></a><span class="lineno"> 1243</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a>& modelOptions,</div>
<div class="line"><a name="l01244"></a><span class="lineno"> 1244</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional</a><std::vector<std::string>&> errMessages)</div>
<div class="line"><a name="l01245"></a><span class="lineno"> 1245</span> {</div>
<div class="line"><a name="l01246"></a><span class="lineno"> 1246</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(optNetObjPtr);</div>
<div class="line"><a name="l01247"></a><span class="lineno"> 1247</span>  <a class="code" href="_profiling_8hpp.xhtml#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"Optimizer_ApplyBackendOptimizations"</span>)</div>
<div class="line"><a name="l01248"></a><span class="lineno"> 1248</span>  <a class="code" href="structarmnn_1_1_optimization_result.xhtml">OptimizationResult</a> result;</div>
<div class="line"><a name="l01249"></a><span class="lineno"> 1249</span>  </div>
<div class="line"><a name="l01250"></a><span class="lineno"> 1250</span>  <span class="comment">// Get the optimized graph</span></div>
<div class="line"><a name="l01251"></a><span class="lineno"> 1251</span>  <a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a>& optGraph = optNetObjPtr-><a class="code" href="classarmnn_1_1_optimized_network_impl.xhtml#a49800ad35ea869aa5569519760d3b339">GetGraph</a>();</div>
<div class="line"><a name="l01252"></a><span class="lineno"> 1252</span>  </div>
<div class="line"><a name="l01253"></a><span class="lineno"> 1253</span>  <span class="comment">// Run backend specific optimizations</span></div>
<div class="line"><a name="l01254"></a><span class="lineno"> 1254</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& selectedBackend : backendSettings.<a class="code" href="structarmnn_1_1_backend_settings.xhtml#aa09ac75b83067c5ed455f2bb35c7c98d">m_SelectedBackends</a>)</div>
<div class="line"><a name="l01255"></a><span class="lineno"> 1255</span>  {</div>
<div class="line"><a name="l01256"></a><span class="lineno"> 1256</span>  <span class="keyword">auto</span> backendObjPtr = backends.find(selectedBackend)->second.get();</div>
<div class="line"><a name="l01257"></a><span class="lineno"> 1257</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(backendObjPtr);</div>
<div class="line"><a name="l01258"></a><span class="lineno"> 1258</span>  </div>
<div class="line"><a name="l01259"></a><span class="lineno"> 1259</span>  <span class="keywordflow">if</span> (selectedBackend == <a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::Compute::GpuAcc</a> || selectedBackend == <a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1">armnn::Compute::CpuAcc</a>)</div>
<div class="line"><a name="l01260"></a><span class="lineno"> 1260</span>  {</div>
<div class="line"><a name="l01261"></a><span class="lineno"> 1261</span>  <a class="code" href="classarmnn_1_1_optimizer.xhtml#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.xhtml#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="classarmnn_1_1_optimize_for_type.xhtml">optimizations::PermuteDepthwiseConv2dWeights</a>()));</div>
<div class="line"><a name="l01262"></a><span class="lineno"> 1262</span>  <a class="code" href="classarmnn_1_1_optimizer.xhtml#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.xhtml#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="classarmnn_1_1_optimize_for_connection.xhtml">optimizations::FusePermuteIntoConstLayer</a>()));</div>
<div class="line"><a name="l01263"></a><span class="lineno"> 1263</span>  }</div>
<div class="line"><a name="l01264"></a><span class="lineno"> 1264</span>  </div>
<div class="line"><a name="l01265"></a><span class="lineno"> 1265</span>  <span class="comment">// Select sub-graphs based on backend</span></div>
<div class="line"><a name="l01266"></a><span class="lineno"> 1266</span>  <a class="code" href="classarmnn_1_1_subgraph_view_selector.xhtml#ab9e8c2ce720efe33c8a20b8f74bb9d5f">SubgraphViewSelector::Subgraphs</a> subgraphs =</div>
<div class="line"><a name="l01267"></a><span class="lineno"> 1267</span>  <a class="code" href="classarmnn_1_1_subgraph_view_selector.xhtml#a3730b0a6006f0d87f894a44e01869d90">SubgraphViewSelector::SelectSubgraphs</a>(optGraph,</div>
<div class="line"><a name="l01268"></a><span class="lineno"> 1268</span>  <span class="comment">// Select layers assigned to the requested backend</span></div>
<div class="line"><a name="l01269"></a><span class="lineno"> 1269</span>  [&backendObjPtr](<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& layer)</div>
<div class="line"><a name="l01270"></a><span class="lineno"> 1270</span>  {</div>
<div class="line"><a name="l01271"></a><span class="lineno"> 1271</span>  </div>
<div class="line"><a name="l01272"></a><span class="lineno"> 1272</span>  <span class="keywordflow">return</span> layer.<a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() != <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a> &&</div>
<div class="line"><a name="l01273"></a><span class="lineno"> 1273</span>  layer.<a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() != <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a> &&</div>
<div class="line"><a name="l01274"></a><span class="lineno"> 1274</span>  layer.<a class="code" href="classarmnn_1_1_layer.xhtml#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a>() == backendObjPtr->GetId();</div>
<div class="line"><a name="l01275"></a><span class="lineno"> 1275</span>  });</div>
<div class="line"><a name="l01276"></a><span class="lineno"> 1276</span>  <span class="keywordflow">if</span> (subgraphs.empty())</div>
<div class="line"><a name="l01277"></a><span class="lineno"> 1277</span>  {</div>
<div class="line"><a name="l01278"></a><span class="lineno"> 1278</span>  <span class="comment">// No sub-graphs found, try with next selected backend</span></div>
<div class="line"><a name="l01279"></a><span class="lineno"> 1279</span>  <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l01280"></a><span class="lineno"> 1280</span>  }</div>
<div class="line"><a name="l01281"></a><span class="lineno"> 1281</span>  </div>
<div class="line"><a name="l01282"></a><span class="lineno"> 1282</span>  <span class="comment">// Try to optimize each sub-graph</span></div>
<div class="line"><a name="l01283"></a><span class="lineno"> 1283</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& subgraph : subgraphs)</div>
<div class="line"><a name="l01284"></a><span class="lineno"> 1284</span>  {</div>
<div class="line"><a name="l01285"></a><span class="lineno"> 1285</span>  <span class="comment">// Try to optimize the current sub-graph</span></div>
<div class="line"><a name="l01286"></a><span class="lineno"> 1286</span>  <a class="code" href="_profiling_8hpp.xhtml#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(backendObjPtr->GetId(), <span class="stringliteral">"Optimizer_OptimizeSubgraph"</span>);</div>
<div class="line"><a name="l01287"></a><span class="lineno"> 1287</span>  <a class="code" href="classarmnn_1_1_optimization_views.xhtml">OptimizationViews</a> optimizationViews = backendObjPtr->OptimizeSubgraphView(*subgraph, modelOptions);</div>
<div class="line"><a name="l01288"></a><span class="lineno"> 1288</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(optimizationViews.<a class="code" href="classarmnn_1_1_optimization_views.xhtml#a58dc3ea86870112f745b2a1f7dca55e9">Validate</a>(*subgraph));</div>
<div class="line"><a name="l01289"></a><span class="lineno"> 1289</span>  </div>
<div class="line"><a name="l01290"></a><span class="lineno"> 1290</span>  <span class="comment">// Optimization attempted, check the resulting optimized sub-graph</span></div>
<div class="line"><a name="l01291"></a><span class="lineno"> 1291</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& substitution : optimizationViews.<a class="code" href="classarmnn_1_1_optimization_views.xhtml#a9a1555f25af4a0ae2c0a1fc0ed9aded8">GetSubstitutions</a>())</div>
<div class="line"><a name="l01292"></a><span class="lineno"> 1292</span>  {</div>
<div class="line"><a name="l01293"></a><span class="lineno"> 1293</span>  <span class="comment">// Sub-graph optimized, substitute the sub-graph with the new optimized one in the main optimized graph</span></div>
<div class="line"><a name="l01294"></a><span class="lineno"> 1294</span>  <a class="code" href="classarmnn_1_1_subgraph_view.xhtml">SubgraphView</a>& replacementSubgraph = substitution.m_ReplacementSubgraph;</div>
<div class="line"><a name="l01295"></a><span class="lineno"> 1295</span>  <a class="code" href="classarmnn_1_1_subgraph_view.xhtml">SubgraphView</a>& substitutableSubgraph = substitution.m_SubstitutableSubgraph;</div>
<div class="line"><a name="l01296"></a><span class="lineno"> 1296</span>  optGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#aafbd4b469e47160017f409df8d077184">SubstituteSubgraph</a>(substitutableSubgraph, replacementSubgraph);</div>
<div class="line"><a name="l01297"></a><span class="lineno"> 1297</span>  </div>
<div class="line"><a name="l01298"></a><span class="lineno"> 1298</span>  <span class="comment">// Assign the current backend to the optimized sub-graph</span></div>
<div class="line"><a name="l01299"></a><span class="lineno"> 1299</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_subgraph_view.xhtml#ad7c7687cd3542e5cbb45e56f9a9456e7">SubgraphView::IConnectableLayers</a>& subgraphLayers = replacementSubgraph.<a class="code" href="classarmnn_1_1_subgraph_view.xhtml#a8055e06b4f21d51fd8b4fc22ead2bdf0">GetIConnectableLayers</a>();</div>
<div class="line"><a name="l01300"></a><span class="lineno"> 1300</span>  std::for_each(subgraphLayers.begin(), subgraphLayers.end(), [&selectedBackend](<a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* l)</div>
<div class="line"><a name="l01301"></a><span class="lineno"> 1301</span>  {</div>
<div class="line"><a name="l01302"></a><span class="lineno"> 1302</span>  ARMNN_ASSERT(l);</div>
<div class="line"><a name="l01303"></a><span class="lineno"> 1303</span>  PolymorphicDowncast<Layer*>(l)->SetBackendId(selectedBackend);</div>
<div class="line"><a name="l01304"></a><span class="lineno"> 1304</span>  });</div>
<div class="line"><a name="l01305"></a><span class="lineno"> 1305</span>  }</div>
<div class="line"><a name="l01306"></a><span class="lineno"> 1306</span>  </div>
<div class="line"><a name="l01307"></a><span class="lineno"> 1307</span>  <span class="keywordflow">if</span> (!optimizationViews.<a class="code" href="classarmnn_1_1_optimization_views.xhtml#ad5fee4381bf82ffa37658dddf4d1fa01">GetFailedSubgraphs</a>().empty())</div>
<div class="line"><a name="l01308"></a><span class="lineno"> 1308</span>  {</div>
<div class="line"><a name="l01309"></a><span class="lineno"> 1309</span>  std::stringstream warningMsg;</div>
<div class="line"><a name="l01310"></a><span class="lineno"> 1310</span>  warningMsg << <span class="stringliteral">"Some sub-graph(s) failed to optimized on "</span> << backendObjPtr->GetId() << <span class="stringliteral">" backend."</span>;</div>
<div class="line"><a name="l01311"></a><span class="lineno"> 1311</span>  <a class="code" href="namespacearmnn.xhtml#a070307e9ee0f7969f7d4320145d1dddb">ReportWarning</a>(warningMsg.str(), errMessages);</div>
<div class="line"><a name="l01312"></a><span class="lineno"> 1312</span>  </div>
<div class="line"><a name="l01313"></a><span class="lineno"> 1313</span>  <span class="comment">// Failed to optimize the given sub-graph, re-assign the sub-graph layers to other available backends</span></div>
<div class="line"><a name="l01314"></a><span class="lineno"> 1314</span>  <a class="code" href="structarmnn_1_1_backend_settings.xhtml">BackendSettings</a> settingsCopy(backendSettings);</div>
<div class="line"><a name="l01315"></a><span class="lineno"> 1315</span>  <span class="keywordflow">if</span> (!backendObjPtr->GetId().IsCpuRef())</div>
<div class="line"><a name="l01316"></a><span class="lineno"> 1316</span>  {</div>
<div class="line"><a name="l01317"></a><span class="lineno"> 1317</span>  <span class="comment">// Add the current backend to the list of backends to ignore</span></div>
<div class="line"><a name="l01318"></a><span class="lineno"> 1318</span>  settingsCopy.<a class="code" href="structarmnn_1_1_backend_settings.xhtml#a552a322b7e66b580caf4652f262687db">m_IgnoredBackends</a>.insert(backendObjPtr->GetId());</div>
<div class="line"><a name="l01319"></a><span class="lineno"> 1319</span>  }</div>
<div class="line"><a name="l01320"></a><span class="lineno"> 1320</span>  </div>
<div class="line"><a name="l01321"></a><span class="lineno"> 1321</span>  <span class="keywordtype">int</span> count=0;</div>
<div class="line"><a name="l01322"></a><span class="lineno"> 1322</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& failedSubgraph : optimizationViews.<a class="code" href="classarmnn_1_1_optimization_views.xhtml#ad5fee4381bf82ffa37658dddf4d1fa01">GetFailedSubgraphs</a>())</div>
<div class="line"><a name="l01323"></a><span class="lineno"> 1323</span>  {</div>
<div class="line"><a name="l01324"></a><span class="lineno"> 1324</span>  <span class="comment">// An error occurred: the optimization was attempted but not performed, try different backends</span></div>
<div class="line"><a name="l01325"></a><span class="lineno"> 1325</span>  std::stringstream subgraphMsg;</div>
<div class="line"><a name="l01326"></a><span class="lineno"> 1326</span>  subgraphMsg << <span class="stringliteral">"Re-assigning backends to "</span> << failedSubgraph.GetIConnectableLayers().size()</div>
<div class="line"><a name="l01327"></a><span class="lineno"> 1327</span>  << <span class="stringliteral">" layers inside sub-graph "</span> << count++;</div>
<div class="line"><a name="l01328"></a><span class="lineno"> 1328</span>  <a class="code" href="namespacearmnn.xhtml#a070307e9ee0f7969f7d4320145d1dddb">ReportWarning</a>(subgraphMsg.str(), errMessages);</div>
<div class="line"><a name="l01329"></a><span class="lineno"> 1329</span>  </div>
<div class="line"><a name="l01330"></a><span class="lineno"> 1330</span>  <a class="code" href="structarmnn_1_1_optimization_result.xhtml">OptimizationResult</a> reassignmentResult = <a class="code" href="namespacearmnn.xhtml#a839ad76f1f52a70b540805b231f05d9c">AssignBackends</a>(optNetObjPtr,</div>
<div class="line"><a name="l01331"></a><span class="lineno"> 1331</span>  settingsCopy,</div>
<div class="line"><a name="l01332"></a><span class="lineno"> 1332</span>  *subgraph,</div>
<div class="line"><a name="l01333"></a><span class="lineno"> 1333</span>  errMessages);</div>
<div class="line"><a name="l01334"></a><span class="lineno"> 1334</span>  <span class="keywordflow">if</span> (reassignmentResult.<a class="code" href="structarmnn_1_1_optimization_result.xhtml#a41a657cfacb52a80a73575c5c730ab88">m_Error</a>)</div>
<div class="line"><a name="l01335"></a><span class="lineno"> 1335</span>  {</div>
<div class="line"><a name="l01336"></a><span class="lineno"> 1336</span>  <span class="comment">// Failed to re-assign one of the remaining backends to each layer of the sub-graph</span></div>
<div class="line"><a name="l01337"></a><span class="lineno"> 1337</span>  result.<a class="code" href="structarmnn_1_1_optimization_result.xhtml#a41a657cfacb52a80a73575c5c730ab88">m_Error</a> = <span class="keyword">true</span>;</div>
<div class="line"><a name="l01338"></a><span class="lineno"> 1338</span>  <span class="keywordflow">return</span> result;</div>
<div class="line"><a name="l01339"></a><span class="lineno"> 1339</span>  }</div>
<div class="line"><a name="l01340"></a><span class="lineno"> 1340</span>  }</div>
<div class="line"><a name="l01341"></a><span class="lineno"> 1341</span>  }</div>
<div class="line"><a name="l01342"></a><span class="lineno"> 1342</span>  }</div>
<div class="line"><a name="l01343"></a><span class="lineno"> 1343</span>  }</div>
<div class="line"><a name="l01344"></a><span class="lineno"> 1344</span>  </div>
<div class="line"><a name="l01345"></a><span class="lineno"> 1345</span>  <span class="keywordflow">return</span> result;</div>
<div class="line"><a name="l01346"></a><span class="lineno"> 1346</span> }</div>
<div class="line"><a name="l01347"></a><span class="lineno"> 1347</span>  </div>
<div class="line"><a name="l01348"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a5ee4a1cca55f69b31e625c786655ed1a"> 1348</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a5ee4a1cca55f69b31e625c786655ed1a">RequiresCopy</a>(<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> src,</div>
<div class="line"><a name="l01349"></a><span class="lineno"> 1349</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> dst,</div>
<div class="line"><a name="l01350"></a><span class="lineno"> 1350</span>  <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">TensorHandleFactoryRegistry</a>& registry)</div>
<div class="line"><a name="l01351"></a><span class="lineno"> 1351</span> {</div>
<div class="line"><a name="l01352"></a><span class="lineno"> 1352</span>  <span class="keywordflow">if</span> (src != dst)</div>
<div class="line"><a name="l01353"></a><span class="lineno"> 1353</span>  {</div>
<div class="line"><a name="l01354"></a><span class="lineno"> 1354</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">ITensorHandleFactory</a>* srcFactory = registry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml#ae5ecc42140a12c855554a4a621fc8456">GetFactory</a>(src);</div>
<div class="line"><a name="l01355"></a><span class="lineno"> 1355</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">ITensorHandleFactory</a>* dstFactory = registry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml#ae5ecc42140a12c855554a4a621fc8456">GetFactory</a>(dst);</div>
<div class="line"><a name="l01356"></a><span class="lineno"> 1356</span>  </div>
<div class="line"><a name="l01357"></a><span class="lineno"> 1357</span>  <span class="keywordflow">if</span> (srcFactory && dstFactory &&</div>
<div class="line"><a name="l01358"></a><span class="lineno"> 1358</span>  (srcFactory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a9892b82652ffac03f1e4e7ad93906078">GetExportFlags</a>() & dstFactory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#ab17a7eb3afac8667ace153b0fe2f82fe">GetImportFlags</a>()) != 0)</div>
<div class="line"><a name="l01359"></a><span class="lineno"> 1359</span>  {</div>
<div class="line"><a name="l01360"></a><span class="lineno"> 1360</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l01361"></a><span class="lineno"> 1361</span>  }</div>
<div class="line"><a name="l01362"></a><span class="lineno"> 1362</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line"><a name="l01363"></a><span class="lineno"> 1363</span>  }</div>
<div class="line"><a name="l01364"></a><span class="lineno"> 1364</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l01365"></a><span class="lineno"> 1365</span> }</div>
<div class="line"><a name="l01366"></a><span class="lineno"> 1366</span>  </div>
<div class="line"><a name="l01367"></a><span class="lineno"> 1367</span> <span class="comment">// Find the handle factory for the input layer which results in fewest required copies.</span></div>
<div class="line"><a name="l01368"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a5f34318a121e010053655204df94720c"> 1368</a></span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> <a class="code" href="namespacearmnn.xhtml#a5f34318a121e010053655204df94720c">CalculateSlotOptionForInput</a>(<a class="code" href="namespacearmnn.xhtml#a9173495a61a0092b5f38b855f02c3585">BackendsMap</a>& backends,</div>
<div class="line"><a name="l01369"></a><span class="lineno"> 1369</span>  <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>& slot,</div>
<div class="line"><a name="l01370"></a><span class="lineno"> 1370</span>  <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">TensorHandleFactoryRegistry</a>& registry,</div>
<div class="line"><a name="l01371"></a><span class="lineno"> 1371</span>  <span class="keywordtype">bool</span> importEnabled)</div>
<div class="line"><a name="l01372"></a><span class="lineno"> 1372</span> {</div>
<div class="line"><a name="l01373"></a><span class="lineno"> 1373</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& layer = slot.<a class="code" href="classarmnn_1_1_output_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>();</div>
<div class="line"><a name="l01374"></a><span class="lineno"> 1374</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(layer.<a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>);</div>
<div class="line"><a name="l01375"></a><span class="lineno"> 1375</span>  </div>
<div class="line"><a name="l01376"></a><span class="lineno"> 1376</span>  <span class="comment">// Explicitly select the tensorhandle factory for InputLayer because the rules for it are slightly different. It</span></div>
<div class="line"><a name="l01377"></a><span class="lineno"> 1377</span>  <span class="comment">// doesn't matter which backend it is assigned to because they all use the same implementation, which</span></div>
<div class="line"><a name="l01378"></a><span class="lineno"> 1378</span>  <span class="comment">// requires Map/Unmap support. This means that, so long as the handle type supports map/unmap semantics, we can</span></div>
<div class="line"><a name="l01379"></a><span class="lineno"> 1379</span>  <span class="comment">// select a factory with maximum compatibility with the layers connected to the InputLayer.</span></div>
<div class="line"><a name="l01380"></a><span class="lineno"> 1380</span>  </div>
<div class="line"><a name="l01381"></a><span class="lineno"> 1381</span>  <span class="comment">// First ensure the from backends can support the TensorHandeAPI</span></div>
<div class="line"><a name="l01382"></a><span class="lineno"> 1382</span>  <span class="keyword">auto</span> frmBackend = backends.find(layer.<a class="code" href="classarmnn_1_1_layer.xhtml#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a>());</div>
<div class="line"><a name="l01383"></a><span class="lineno"> 1383</span>  <span class="keywordflow">if</span> (frmBackend == backends.end() ||</div>
<div class="line"><a name="l01384"></a><span class="lineno"> 1384</span>  !frmBackend->second->SupportsTensorAllocatorAPI())</div>
<div class="line"><a name="l01385"></a><span class="lineno"> 1385</span>  {</div>
<div class="line"><a name="l01386"></a><span class="lineno"> 1386</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a9c95f90eb40e31f629e0e2947b8bc6f9">ITensorHandleFactory::LegacyFactoryId</a>;</div>
<div class="line"><a name="l01387"></a><span class="lineno"> 1387</span>  }</div>
<div class="line"><a name="l01388"></a><span class="lineno"> 1388</span>  </div>
<div class="line"><a name="l01389"></a><span class="lineno"> 1389</span>  <span class="comment">// Go through all connections to the output slot and determine the TensorHandleFactory which results in the</span></div>
<div class="line"><a name="l01390"></a><span class="lineno"> 1390</span>  <span class="comment">// fewest copies.</span></div>
<div class="line"><a name="l01391"></a><span class="lineno"> 1391</span>  std::map<ITensorHandleFactory::FactoryId, int> factoryScores;</div>
<div class="line"><a name="l01392"></a><span class="lineno"> 1392</span>  <span class="keywordtype">int</span> topScore = 0;</div>
<div class="line"><a name="l01393"></a><span class="lineno"> 1393</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> topChoice = <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a9c95f90eb40e31f629e0e2947b8bc6f9">ITensorHandleFactory::LegacyFactoryId</a>;</div>
<div class="line"><a name="l01394"></a><span class="lineno"> 1394</span>  </div>
<div class="line"><a name="l01395"></a><span class="lineno"> 1395</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& connection : slot.<a class="code" href="classarmnn_1_1_output_slot.xhtml#a50b562d4a4edc64d7d8abcca056f0b8c">GetConnections</a>())</div>
<div class="line"><a name="l01396"></a><span class="lineno"> 1396</span>  {</div>
<div class="line"><a name="l01397"></a><span class="lineno"> 1397</span>  </div>
<div class="line"><a name="l01398"></a><span class="lineno"> 1398</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& connectedLayer = connection->GetOwningLayer();</div>
<div class="line"><a name="l01399"></a><span class="lineno"> 1399</span>  </div>
<div class="line"><a name="l01400"></a><span class="lineno"> 1400</span>  <span class="keyword">auto</span> toBackend = backends.find(connectedLayer.<a class="code" href="classarmnn_1_1_layer.xhtml#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a>());</div>
<div class="line"><a name="l01401"></a><span class="lineno"> 1401</span>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(toBackend != backends.end(), <span class="stringliteral">"Backend id not found for the connected layer"</span>);</div>
<div class="line"><a name="l01402"></a><span class="lineno"> 1402</span>  </div>
<div class="line"><a name="l01403"></a><span class="lineno"> 1403</span>  <span class="keywordflow">if</span> (!toBackend->second.get()->SupportsTensorAllocatorAPI())</div>
<div class="line"><a name="l01404"></a><span class="lineno"> 1404</span>  {</div>
<div class="line"><a name="l01405"></a><span class="lineno"> 1405</span>  <span class="comment">// The destination backend does not support the tensor allocator API, move to the next one</span></div>
<div class="line"><a name="l01406"></a><span class="lineno"> 1406</span>  <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l01407"></a><span class="lineno"> 1407</span>  }</div>
<div class="line"><a name="l01408"></a><span class="lineno"> 1408</span>  </div>
<div class="line"><a name="l01409"></a><span class="lineno"> 1409</span>  <span class="keyword">auto</span> dstPrefs = toBackend->second.get()->GetHandleFactoryPreferences();</div>
<div class="line"><a name="l01410"></a><span class="lineno"> 1410</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& dst : dstPrefs)</div>
<div class="line"><a name="l01411"></a><span class="lineno"> 1411</span>  {</div>
<div class="line"><a name="l01412"></a><span class="lineno"> 1412</span>  <span class="comment">// Input layers use the mem copy workload or import, so the selected factory must</span></div>
<div class="line"><a name="l01413"></a><span class="lineno"> 1413</span>  <span class="comment">// support either the map/unmap API or Import API</span></div>
<div class="line"><a name="l01414"></a><span class="lineno"> 1414</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">ITensorHandleFactory</a>* factory = registry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml#ae5ecc42140a12c855554a4a621fc8456">GetFactory</a>(dst);</div>
<div class="line"><a name="l01415"></a><span class="lineno"> 1415</span>  <span class="keywordflow">if</span> (importEnabled && factory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#ab17a7eb3afac8667ace153b0fe2f82fe">GetImportFlags</a>() == 0)</div>
<div class="line"><a name="l01416"></a><span class="lineno"> 1416</span>  {</div>
<div class="line"><a name="l01417"></a><span class="lineno"> 1417</span>  <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l01418"></a><span class="lineno"> 1418</span>  }</div>
<div class="line"><a name="l01419"></a><span class="lineno"> 1419</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (!importEnabled && !factory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#aef5b0db52e05e12463d094e509fc8b56">SupportsMapUnmap</a>())</div>
<div class="line"><a name="l01420"></a><span class="lineno"> 1420</span>  {</div>
<div class="line"><a name="l01421"></a><span class="lineno"> 1421</span>  <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l01422"></a><span class="lineno"> 1422</span>  }</div>
<div class="line"><a name="l01423"></a><span class="lineno"> 1423</span>  </div>
<div class="line"><a name="l01424"></a><span class="lineno"> 1424</span>  <span class="keyword">auto</span> it = factoryScores.find(dst);</div>
<div class="line"><a name="l01425"></a><span class="lineno"> 1425</span>  <span class="keywordflow">if</span> (it == factoryScores.end())</div>
<div class="line"><a name="l01426"></a><span class="lineno"> 1426</span>  {</div>
<div class="line"><a name="l01427"></a><span class="lineno"> 1427</span>  <span class="comment">// Add new score to the table</span></div>
<div class="line"><a name="l01428"></a><span class="lineno"> 1428</span>  factoryScores[dst] = 0;</div>
<div class="line"><a name="l01429"></a><span class="lineno"> 1429</span>  <span class="keywordflow">if</span> (topChoice == <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a9c95f90eb40e31f629e0e2947b8bc6f9">ITensorHandleFactory::LegacyFactoryId</a>)</div>
<div class="line"><a name="l01430"></a><span class="lineno"> 1430</span>  {</div>
<div class="line"><a name="l01431"></a><span class="lineno"> 1431</span>  topChoice = dst;</div>
<div class="line"><a name="l01432"></a><span class="lineno"> 1432</span>  }</div>
<div class="line"><a name="l01433"></a><span class="lineno"> 1433</span>  }</div>
<div class="line"><a name="l01434"></a><span class="lineno"> 1434</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l01435"></a><span class="lineno"> 1435</span>  {</div>
<div class="line"><a name="l01436"></a><span class="lineno"> 1436</span>  <span class="comment">// Increase the score</span></div>
<div class="line"><a name="l01437"></a><span class="lineno"> 1437</span>  factoryScores[dst]++;</div>
<div class="line"><a name="l01438"></a><span class="lineno"> 1438</span>  </div>
<div class="line"><a name="l01439"></a><span class="lineno"> 1439</span>  <span class="comment">// Track the best option</span></div>
<div class="line"><a name="l01440"></a><span class="lineno"> 1440</span>  <span class="keywordflow">if</span> (factoryScores[dst] > topScore)</div>
<div class="line"><a name="l01441"></a><span class="lineno"> 1441</span>  {</div>
<div class="line"><a name="l01442"></a><span class="lineno"> 1442</span>  topScore = factoryScores[dst];</div>
<div class="line"><a name="l01443"></a><span class="lineno"> 1443</span>  topChoice = dst;</div>
<div class="line"><a name="l01444"></a><span class="lineno"> 1444</span>  }</div>
<div class="line"><a name="l01445"></a><span class="lineno"> 1445</span>  }</div>
<div class="line"><a name="l01446"></a><span class="lineno"> 1446</span>  }</div>
<div class="line"><a name="l01447"></a><span class="lineno"> 1447</span>  }</div>
<div class="line"><a name="l01448"></a><span class="lineno"> 1448</span>  </div>
<div class="line"><a name="l01449"></a><span class="lineno"> 1449</span>  <span class="keywordflow">return</span> topChoice;</div>
<div class="line"><a name="l01450"></a><span class="lineno"> 1450</span> }</div>
<div class="line"><a name="l01451"></a><span class="lineno"> 1451</span>  </div>
<div class="line"><a name="l01452"></a><span class="lineno"> 1452</span> <span class="comment">// Find the handle factory for the output layer which results in fewest required copies.</span></div>
<div class="line"><a name="l01453"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ab46c7f5f4736d550ab0e5e05a0fff4a9"> 1453</a></span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> <a class="code" href="namespacearmnn.xhtml#ab46c7f5f4736d550ab0e5e05a0fff4a9">CalculateSlotOptionForOutput</a>(<a class="code" href="namespacearmnn.xhtml#a9173495a61a0092b5f38b855f02c3585">BackendsMap</a>& backends,</div>
<div class="line"><a name="l01454"></a><span class="lineno"> 1454</span>  <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>& slot,</div>
<div class="line"><a name="l01455"></a><span class="lineno"> 1455</span>  <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">TensorHandleFactoryRegistry</a>& registry)</div>
<div class="line"><a name="l01456"></a><span class="lineno"> 1456</span> {</div>
<div class="line"><a name="l01457"></a><span class="lineno"> 1457</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(backends, slot, registry);</div>
<div class="line"><a name="l01458"></a><span class="lineno"> 1458</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#ac043d9a6e3f861fc6aa057ff95e56f18">ITensorHandleFactory::DeferredFactoryId</a>;</div>
<div class="line"><a name="l01459"></a><span class="lineno"> 1459</span> }</div>
<div class="line"><a name="l01460"></a><span class="lineno"> 1460</span>  </div>
<div class="line"><a name="l01461"></a><span class="lineno"> 1461</span> <span class="comment">// For all handle factories supported on the source backend, we wish to find the one which requires the fewest copies</span></div>
<div class="line"><a name="l01462"></a><span class="lineno"> 1462</span> <span class="comment">// when considering all connections.</span></div>
<div class="line"><a name="l01463"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ad52508167694d6d259525b3eec1a4267"> 1463</a></span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> <a class="code" href="namespacearmnn.xhtml#ad52508167694d6d259525b3eec1a4267">CalculateSlotOption</a>(<a class="code" href="namespacearmnn.xhtml#a9173495a61a0092b5f38b855f02c3585">BackendsMap</a>& backends,</div>
<div class="line"><a name="l01464"></a><span class="lineno"> 1464</span>  <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>& outputSlot,</div>
<div class="line"><a name="l01465"></a><span class="lineno"> 1465</span>  <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">TensorHandleFactoryRegistry</a>& registry,</div>
<div class="line"><a name="l01466"></a><span class="lineno"> 1466</span>  <span class="keywordtype">bool</span> exportEnabled)</div>
<div class="line"><a name="l01467"></a><span class="lineno"> 1467</span> {</div>
<div class="line"><a name="l01468"></a><span class="lineno"> 1468</span>  <span class="comment">// First ensure the from backends can support the TensorHandeAPI</span></div>
<div class="line"><a name="l01469"></a><span class="lineno"> 1469</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& layer = outputSlot.<a class="code" href="classarmnn_1_1_output_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>();</div>
<div class="line"><a name="l01470"></a><span class="lineno"> 1470</span>  <span class="keyword">auto</span> frmBackend = backends.find(layer.<a class="code" href="classarmnn_1_1_layer.xhtml#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a>());</div>
<div class="line"><a name="l01471"></a><span class="lineno"> 1471</span>  <span class="keywordflow">if</span> (frmBackend == backends.end() ||</div>
<div class="line"><a name="l01472"></a><span class="lineno"> 1472</span>  !frmBackend->second->SupportsTensorAllocatorAPI())</div>
<div class="line"><a name="l01473"></a><span class="lineno"> 1473</span>  {</div>
<div class="line"><a name="l01474"></a><span class="lineno"> 1474</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a9c95f90eb40e31f629e0e2947b8bc6f9">ITensorHandleFactory::LegacyFactoryId</a>;</div>
<div class="line"><a name="l01475"></a><span class="lineno"> 1475</span>  }</div>
<div class="line"><a name="l01476"></a><span class="lineno"> 1476</span>  </div>
<div class="line"><a name="l01477"></a><span class="lineno"> 1477</span>  <span class="keywordtype">bool</span> outputConnection = <span class="keyword">false</span>;</div>
<div class="line"><a name="l01478"></a><span class="lineno"> 1478</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& connection : outputSlot.<a class="code" href="classarmnn_1_1_output_slot.xhtml#a50b562d4a4edc64d7d8abcca056f0b8c">GetConnections</a>())</div>
<div class="line"><a name="l01479"></a><span class="lineno"> 1479</span>  {</div>
<div class="line"><a name="l01480"></a><span class="lineno"> 1480</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& connectedLayer = connection->GetOwningLayer();</div>
<div class="line"><a name="l01481"></a><span class="lineno"> 1481</span>  <span class="keywordflow">if</span> (connectedLayer.<a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a>)</div>
<div class="line"><a name="l01482"></a><span class="lineno"> 1482</span>  {</div>
<div class="line"><a name="l01483"></a><span class="lineno"> 1483</span>  outputConnection = <span class="keyword">true</span>;</div>
<div class="line"><a name="l01484"></a><span class="lineno"> 1484</span>  }</div>
<div class="line"><a name="l01485"></a><span class="lineno"> 1485</span>  }</div>
<div class="line"><a name="l01486"></a><span class="lineno"> 1486</span>  </div>
<div class="line"><a name="l01487"></a><span class="lineno"> 1487</span>  <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml">IBackendInternal</a>* srcBackend = frmBackend->second.get();</div>
<div class="line"><a name="l01488"></a><span class="lineno"> 1488</span>  <span class="keyword">auto</span> srcPrefs = srcBackend-><a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#ac5d107c5672f446603b6e6b92bce6244">GetHandleFactoryPreferences</a>();</div>
<div class="line"><a name="l01489"></a><span class="lineno"> 1489</span>  </div>
<div class="line"><a name="l01490"></a><span class="lineno"> 1490</span>  <span class="comment">// Initialize the scores</span></div>
<div class="line"><a name="l01491"></a><span class="lineno"> 1491</span>  std::map<ITensorHandleFactory::FactoryId, int> factoryScores;</div>
<div class="line"><a name="l01492"></a><span class="lineno"> 1492</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& pref : srcPrefs)</div>
<div class="line"><a name="l01493"></a><span class="lineno"> 1493</span>  {</div>
<div class="line"><a name="l01494"></a><span class="lineno"> 1494</span>  <span class="keywordflow">if</span> (exportEnabled)</div>
<div class="line"><a name="l01495"></a><span class="lineno"> 1495</span>  {</div>
<div class="line"><a name="l01496"></a><span class="lineno"> 1496</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">ITensorHandleFactory</a>* factory = registry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml#ae5ecc42140a12c855554a4a621fc8456">GetFactory</a>(pref);</div>
<div class="line"><a name="l01497"></a><span class="lineno"> 1497</span>  <span class="keywordflow">if</span> (outputConnection)</div>
<div class="line"><a name="l01498"></a><span class="lineno"> 1498</span>  {</div>
<div class="line"><a name="l01499"></a><span class="lineno"> 1499</span>  <span class="comment">// Check if this is fallback case</span></div>
<div class="line"><a name="l01500"></a><span class="lineno"> 1500</span>  <span class="keywordtype">bool</span> fallbackConnection = <span class="keyword">false</span>;</div>
<div class="line"><a name="l01501"></a><span class="lineno"> 1501</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& inputSlot : layer.<a class="code" href="classarmnn_1_1_layer.xhtml#af5f530544d09a44d726f24702b67b35b">GetInputSlots</a>())</div>
<div class="line"><a name="l01502"></a><span class="lineno"> 1502</span>  {</div>
<div class="line"><a name="l01503"></a><span class="lineno"> 1503</span>  <span class="keywordflow">if</span> (inputSlot.GetConnectedOutputSlot()->GetOwningLayer().GetBackendId() != layer.<a class="code" href="classarmnn_1_1_layer.xhtml#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a>())</div>
<div class="line"><a name="l01504"></a><span class="lineno"> 1504</span>  {</div>
<div class="line"><a name="l01505"></a><span class="lineno"> 1505</span>  fallbackConnection = <span class="keyword">true</span>;</div>
<div class="line"><a name="l01506"></a><span class="lineno"> 1506</span>  }</div>
<div class="line"><a name="l01507"></a><span class="lineno"> 1507</span>  }</div>
<div class="line"><a name="l01508"></a><span class="lineno"> 1508</span>  <span class="keywordflow">if</span> (fallbackConnection)</div>
<div class="line"><a name="l01509"></a><span class="lineno"> 1509</span>  {</div>
<div class="line"><a name="l01510"></a><span class="lineno"> 1510</span>  <span class="keyword">auto</span> factoryCap = factory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a73fbbe9df988c8cabddea04a8dcb9323">GetCapabilities</a>(&layer, &layer, <a class="code" href="namespacearmnn.xhtml#a10c50bc964cc8cc559eebcd7df5a8af3a5a3e0409dae79a7940aade8d399dcd5d">CapabilityClass::FallbackImportDisabled</a>);</div>
<div class="line"><a name="l01511"></a><span class="lineno"> 1511</span>  <span class="comment">// Cannot use factory import if fallback import is not supported.</span></div>
<div class="line"><a name="l01512"></a><span class="lineno"> 1512</span>  <span class="keywordflow">if</span> (!factoryCap.empty())</div>
<div class="line"><a name="l01513"></a><span class="lineno"> 1513</span>  {</div>
<div class="line"><a name="l01514"></a><span class="lineno"> 1514</span>  <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l01515"></a><span class="lineno"> 1515</span>  }</div>
<div class="line"><a name="l01516"></a><span class="lineno"> 1516</span>  }</div>
<div class="line"><a name="l01517"></a><span class="lineno"> 1517</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (factory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a9892b82652ffac03f1e4e7ad93906078">GetExportFlags</a>() == 0)</div>
<div class="line"><a name="l01518"></a><span class="lineno"> 1518</span>  {</div>
<div class="line"><a name="l01519"></a><span class="lineno"> 1519</span>  <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l01520"></a><span class="lineno"> 1520</span>  }</div>
<div class="line"><a name="l01521"></a><span class="lineno"> 1521</span>  }</div>
<div class="line"><a name="l01522"></a><span class="lineno"> 1522</span>  <span class="keywordflow">if</span> (!outputConnection)</div>
<div class="line"><a name="l01523"></a><span class="lineno"> 1523</span>  {</div>
<div class="line"><a name="l01524"></a><span class="lineno"> 1524</span>  <span class="keyword">auto</span> factoryCap = factory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a73fbbe9df988c8cabddea04a8dcb9323">GetCapabilities</a>(&layer, &layer, <a class="code" href="namespacearmnn.xhtml#a10c50bc964cc8cc559eebcd7df5a8af3a5a3e0409dae79a7940aade8d399dcd5d">CapabilityClass::FallbackImportDisabled</a>);</div>
<div class="line"><a name="l01525"></a><span class="lineno"> 1525</span>  <span class="comment">// Cannot use factory import if fallback import is not supported.</span></div>
<div class="line"><a name="l01526"></a><span class="lineno"> 1526</span>  <span class="keywordflow">if</span> (!factoryCap.empty())</div>
<div class="line"><a name="l01527"></a><span class="lineno"> 1527</span>  {</div>
<div class="line"><a name="l01528"></a><span class="lineno"> 1528</span>  <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l01529"></a><span class="lineno"> 1529</span>  }</div>
<div class="line"><a name="l01530"></a><span class="lineno"> 1530</span>  }</div>
<div class="line"><a name="l01531"></a><span class="lineno"> 1531</span>  </div>
<div class="line"><a name="l01532"></a><span class="lineno"> 1532</span>  }</div>
<div class="line"><a name="l01533"></a><span class="lineno"> 1533</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l01534"></a><span class="lineno"> 1534</span>  {</div>
<div class="line"><a name="l01535"></a><span class="lineno"> 1535</span>  <span class="comment">// Only consider factories that support map/unmap</span></div>
<div class="line"><a name="l01536"></a><span class="lineno"> 1536</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">ITensorHandleFactory</a>* factory = registry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml#ae5ecc42140a12c855554a4a621fc8456">GetFactory</a>(pref);</div>
<div class="line"><a name="l01537"></a><span class="lineno"> 1537</span>  <span class="keywordflow">if</span> (!factory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#aef5b0db52e05e12463d094e509fc8b56">SupportsMapUnmap</a>())</div>
<div class="line"><a name="l01538"></a><span class="lineno"> 1538</span>  {</div>
<div class="line"><a name="l01539"></a><span class="lineno"> 1539</span>  <span class="comment">// The current tensor handle factory does not support the map/unmap strategy, move to the next one</span></div>
<div class="line"><a name="l01540"></a><span class="lineno"> 1540</span>  <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l01541"></a><span class="lineno"> 1541</span>  }</div>
<div class="line"><a name="l01542"></a><span class="lineno"> 1542</span>  }</div>
<div class="line"><a name="l01543"></a><span class="lineno"> 1543</span>  </div>
<div class="line"><a name="l01544"></a><span class="lineno"> 1544</span>  </div>
<div class="line"><a name="l01545"></a><span class="lineno"> 1545</span>  <span class="keyword">auto</span> it = factoryScores.find(pref);</div>
<div class="line"><a name="l01546"></a><span class="lineno"> 1546</span>  <span class="keywordflow">if</span> (it == factoryScores.end())</div>
<div class="line"><a name="l01547"></a><span class="lineno"> 1547</span>  {</div>
<div class="line"><a name="l01548"></a><span class="lineno"> 1548</span>  <span class="comment">// Add new score to the table</span></div>
<div class="line"><a name="l01549"></a><span class="lineno"> 1549</span>  factoryScores[pref] = 0;</div>
<div class="line"><a name="l01550"></a><span class="lineno"> 1550</span>  }</div>
<div class="line"><a name="l01551"></a><span class="lineno"> 1551</span>  }</div>
<div class="line"><a name="l01552"></a><span class="lineno"> 1552</span>  </div>
<div class="line"><a name="l01553"></a><span class="lineno"> 1553</span>  <span class="comment">// Score each handle factory based on how many times it requires copies on the slot connections</span></div>
<div class="line"><a name="l01554"></a><span class="lineno"> 1554</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& connection : outputSlot.<a class="code" href="classarmnn_1_1_output_slot.xhtml#a50b562d4a4edc64d7d8abcca056f0b8c">GetConnections</a>())</div>
<div class="line"><a name="l01555"></a><span class="lineno"> 1555</span>  {</div>
<div class="line"><a name="l01556"></a><span class="lineno"> 1556</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& connectedLayer = connection->GetOwningLayer();</div>
<div class="line"><a name="l01557"></a><span class="lineno"> 1557</span>  </div>
<div class="line"><a name="l01558"></a><span class="lineno"> 1558</span>  <span class="keyword">auto</span> toBackend = backends.find(connectedLayer.<a class="code" href="classarmnn_1_1_layer.xhtml#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a>());</div>
<div class="line"><a name="l01559"></a><span class="lineno"> 1559</span>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(toBackend != backends.end(), <span class="stringliteral">"Backend id not found for the connected layer"</span>);</div>
<div class="line"><a name="l01560"></a><span class="lineno"> 1560</span>  </div>
<div class="line"><a name="l01561"></a><span class="lineno"> 1561</span>  <span class="keyword">auto</span> dstPrefs = toBackend->second.get()->GetHandleFactoryPreferences();</div>
<div class="line"><a name="l01562"></a><span class="lineno"> 1562</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& src : srcPrefs)</div>
<div class="line"><a name="l01563"></a><span class="lineno"> 1563</span>  {</div>
<div class="line"><a name="l01564"></a><span class="lineno"> 1564</span>  <span class="keywordflow">if</span> (factoryScores.find(src) == factoryScores.end()) <span class="comment">// Don't consider excluded factories</span></div>
<div class="line"><a name="l01565"></a><span class="lineno"> 1565</span>  {</div>
<div class="line"><a name="l01566"></a><span class="lineno"> 1566</span>  <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l01567"></a><span class="lineno"> 1567</span>  }</div>
<div class="line"><a name="l01568"></a><span class="lineno"> 1568</span>  </div>
<div class="line"><a name="l01569"></a><span class="lineno"> 1569</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& dst : dstPrefs)</div>
<div class="line"><a name="l01570"></a><span class="lineno"> 1570</span>  {</div>
<div class="line"><a name="l01571"></a><span class="lineno"> 1571</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#a5ee4a1cca55f69b31e625c786655ed1a">RequiresCopy</a>(src, dst, registry))</div>
<div class="line"><a name="l01572"></a><span class="lineno"> 1572</span>  {</div>
<div class="line"><a name="l01573"></a><span class="lineno"> 1573</span>  <span class="comment">// Copy avoided, increase the score</span></div>
<div class="line"><a name="l01574"></a><span class="lineno"> 1574</span>  factoryScores[src]++;</div>
<div class="line"><a name="l01575"></a><span class="lineno"> 1575</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l01576"></a><span class="lineno"> 1576</span>  }</div>
<div class="line"><a name="l01577"></a><span class="lineno"> 1577</span>  }</div>
<div class="line"><a name="l01578"></a><span class="lineno"> 1578</span>  }</div>
<div class="line"><a name="l01579"></a><span class="lineno"> 1579</span>  }</div>
<div class="line"><a name="l01580"></a><span class="lineno"> 1580</span>  </div>
<div class="line"><a name="l01581"></a><span class="lineno"> 1581</span>  <span class="comment">// Find the lowest score</span></div>
<div class="line"><a name="l01582"></a><span class="lineno"> 1582</span>  <span class="keywordtype">int</span> minScore = std::numeric_limits<int>::max();</div>
<div class="line"><a name="l01583"></a><span class="lineno"> 1583</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> it : factoryScores)</div>
<div class="line"><a name="l01584"></a><span class="lineno"> 1584</span>  {</div>
<div class="line"><a name="l01585"></a><span class="lineno"> 1585</span>  minScore = std::min(minScore, it.second);</div>
<div class="line"><a name="l01586"></a><span class="lineno"> 1586</span>  }</div>
<div class="line"><a name="l01587"></a><span class="lineno"> 1587</span>  </div>
<div class="line"><a name="l01588"></a><span class="lineno"> 1588</span>  <span class="comment">// Collect factories matching the best(lowest) score</span></div>
<div class="line"><a name="l01589"></a><span class="lineno"> 1589</span>  std::vector<ITensorHandleFactory::FactoryId> optimalFactories;</div>
<div class="line"><a name="l01590"></a><span class="lineno"> 1590</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> it : factoryScores)</div>
<div class="line"><a name="l01591"></a><span class="lineno"> 1591</span>  {</div>
<div class="line"><a name="l01592"></a><span class="lineno"> 1592</span>  <span class="keywordflow">if</span> (it.second == minScore)</div>
<div class="line"><a name="l01593"></a><span class="lineno"> 1593</span>  {</div>
<div class="line"><a name="l01594"></a><span class="lineno"> 1594</span>  optimalFactories.push_back(it.first);</div>
<div class="line"><a name="l01595"></a><span class="lineno"> 1595</span>  }</div>
<div class="line"><a name="l01596"></a><span class="lineno"> 1596</span>  }</div>
<div class="line"><a name="l01597"></a><span class="lineno"> 1597</span>  </div>
<div class="line"><a name="l01598"></a><span class="lineno"> 1598</span>  <span class="comment">// For all compatible Factories matching the best score, find the preferred one for the current layer.</span></div>
<div class="line"><a name="l01599"></a><span class="lineno"> 1599</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& srcPref : srcPrefs)</div>
<div class="line"><a name="l01600"></a><span class="lineno"> 1600</span>  {</div>
<div class="line"><a name="l01601"></a><span class="lineno"> 1601</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& comp : optimalFactories)</div>
<div class="line"><a name="l01602"></a><span class="lineno"> 1602</span>  {</div>
<div class="line"><a name="l01603"></a><span class="lineno"> 1603</span>  <span class="keywordflow">if</span> (comp == srcPref)</div>
<div class="line"><a name="l01604"></a><span class="lineno"> 1604</span>  {</div>
<div class="line"><a name="l01605"></a><span class="lineno"> 1605</span>  <span class="keywordflow">return</span> comp;</div>
<div class="line"><a name="l01606"></a><span class="lineno"> 1606</span>  }</div>
<div class="line"><a name="l01607"></a><span class="lineno"> 1607</span>  }</div>
<div class="line"><a name="l01608"></a><span class="lineno"> 1608</span>  }</div>
<div class="line"><a name="l01609"></a><span class="lineno"> 1609</span>  </div>
<div class="line"><a name="l01610"></a><span class="lineno"> 1610</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a9c95f90eb40e31f629e0e2947b8bc6f9">ITensorHandleFactory::LegacyFactoryId</a>;</div>
<div class="line"><a name="l01611"></a><span class="lineno"> 1611</span> }</div>
<div class="line"><a name="l01612"></a><span class="lineno"> 1612</span>  </div>
<div class="line"><a name="l01613"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a738d3243c1dc564304d78908c6112e4f"> 1613</a></span> <a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016">EdgeStrategy</a> <a class="code" href="namespacearmnn.xhtml#a738d3243c1dc564304d78908c6112e4f">CalculateEdgeStrategy</a>(<a class="code" href="namespacearmnn.xhtml#a9173495a61a0092b5f38b855f02c3585">BackendsMap</a>& backends,</div>
<div class="line"><a name="l01614"></a><span class="lineno"> 1614</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> srcFactoryId,</div>
<div class="line"><a name="l01615"></a><span class="lineno"> 1615</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& layer,</div>
<div class="line"><a name="l01616"></a><span class="lineno"> 1616</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& connectedLayer,</div>
<div class="line"><a name="l01617"></a><span class="lineno"> 1617</span>  <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">TensorHandleFactoryRegistry</a>& registry,</div>
<div class="line"><a name="l01618"></a><span class="lineno"> 1618</span>  <span class="keywordtype">bool</span> importEnabled)</div>
<div class="line"><a name="l01619"></a><span class="lineno"> 1619</span> {</div>
<div class="line"><a name="l01620"></a><span class="lineno"> 1620</span>  <span class="keyword">auto</span> toBackend = backends.find(connectedLayer.<a class="code" href="classarmnn_1_1_layer.xhtml#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a>());</div>
<div class="line"><a name="l01621"></a><span class="lineno"> 1621</span>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(toBackend != backends.end(), <span class="stringliteral">"Backend id not found for the connected layer"</span>);</div>
<div class="line"><a name="l01622"></a><span class="lineno"> 1622</span>  </div>
<div class="line"><a name="l01623"></a><span class="lineno"> 1623</span>  <span class="keyword">auto</span> dstPrefs = toBackend->second.get()->GetHandleFactoryPreferences();</div>
<div class="line"><a name="l01624"></a><span class="lineno"> 1624</span>  </div>
<div class="line"><a name="l01625"></a><span class="lineno"> 1625</span>  <span class="comment">// Legacy API check for backward compatibility</span></div>
<div class="line"><a name="l01626"></a><span class="lineno"> 1626</span>  <span class="keywordflow">if</span> (srcFactoryId == <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a9c95f90eb40e31f629e0e2947b8bc6f9">ITensorHandleFactory::LegacyFactoryId</a> || dstPrefs.empty())</div>
<div class="line"><a name="l01627"></a><span class="lineno"> 1627</span>  {</div>
<div class="line"><a name="l01628"></a><span class="lineno"> 1628</span>  <span class="keywordflow">if</span> (layer.<a class="code" href="classarmnn_1_1_layer.xhtml#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a>() != connectedLayer.<a class="code" href="classarmnn_1_1_layer.xhtml#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a>())</div>
<div class="line"><a name="l01629"></a><span class="lineno"> 1629</span>  {</div>
<div class="line"><a name="l01630"></a><span class="lineno"> 1630</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016ac366da48cc11956ae377a77751936852">EdgeStrategy::CopyToTarget</a>;</div>
<div class="line"><a name="l01631"></a><span class="lineno"> 1631</span>  }</div>
<div class="line"><a name="l01632"></a><span class="lineno"> 1632</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l01633"></a><span class="lineno"> 1633</span>  {</div>
<div class="line"><a name="l01634"></a><span class="lineno"> 1634</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016a78d1be0baa31e083ae8da99aaedaf650">EdgeStrategy::DirectCompatibility</a>;</div>
<div class="line"><a name="l01635"></a><span class="lineno"> 1635</span>  }</div>
<div class="line"><a name="l01636"></a><span class="lineno"> 1636</span>  }</div>
<div class="line"><a name="l01637"></a><span class="lineno"> 1637</span>  </div>
<div class="line"><a name="l01638"></a><span class="lineno"> 1638</span>  <span class="comment">// TensorHandleFactory API present, so perform more sophisticated strategies.</span></div>
<div class="line"><a name="l01639"></a><span class="lineno"> 1639</span>  <span class="comment">// Dst Output layers don't require copy because they use import or map/unmap</span></div>
<div class="line"><a name="l01640"></a><span class="lineno"> 1640</span>  <span class="keywordflow">if</span> (connectedLayer.<a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a>)</div>
<div class="line"><a name="l01641"></a><span class="lineno"> 1641</span>  {</div>
<div class="line"><a name="l01642"></a><span class="lineno"> 1642</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016a78d1be0baa31e083ae8da99aaedaf650">EdgeStrategy::DirectCompatibility</a>;</div>
<div class="line"><a name="l01643"></a><span class="lineno"> 1643</span>  }</div>
<div class="line"><a name="l01644"></a><span class="lineno"> 1644</span>  </div>
<div class="line"><a name="l01645"></a><span class="lineno"> 1645</span>  <span class="comment">// Search for direct match in prefs</span></div>
<div class="line"><a name="l01646"></a><span class="lineno"> 1646</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& pref : dstPrefs)</div>
<div class="line"><a name="l01647"></a><span class="lineno"> 1647</span>  {</div>
<div class="line"><a name="l01648"></a><span class="lineno"> 1648</span>  <span class="keywordflow">if</span> (pref == srcFactoryId)</div>
<div class="line"><a name="l01649"></a><span class="lineno"> 1649</span>  {</div>
<div class="line"><a name="l01650"></a><span class="lineno"> 1650</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016a78d1be0baa31e083ae8da99aaedaf650">EdgeStrategy::DirectCompatibility</a>;</div>
<div class="line"><a name="l01651"></a><span class="lineno"> 1651</span>  }</div>
<div class="line"><a name="l01652"></a><span class="lineno"> 1652</span>  }</div>
<div class="line"><a name="l01653"></a><span class="lineno"> 1653</span>  </div>
<div class="line"><a name="l01654"></a><span class="lineno"> 1654</span>  <span class="comment">// Search for export/import options</span></div>
<div class="line"><a name="l01655"></a><span class="lineno"> 1655</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">ITensorHandleFactory</a>* srcFactory = registry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml#ae5ecc42140a12c855554a4a621fc8456">GetFactory</a>(srcFactoryId);</div>
<div class="line"><a name="l01656"></a><span class="lineno"> 1656</span>  <span class="keywordflow">if</span> (srcFactory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a9892b82652ffac03f1e4e7ad93906078">GetExportFlags</a>() != 0 && importEnabled)</div>
<div class="line"><a name="l01657"></a><span class="lineno"> 1657</span>  {</div>
<div class="line"><a name="l01658"></a><span class="lineno"> 1658</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& pref : dstPrefs)</div>
<div class="line"><a name="l01659"></a><span class="lineno"> 1659</span>  {</div>
<div class="line"><a name="l01660"></a><span class="lineno"> 1660</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">ITensorHandleFactory</a>* dstFactory = registry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml#ae5ecc42140a12c855554a4a621fc8456">GetFactory</a>(pref);</div>
<div class="line"><a name="l01661"></a><span class="lineno"> 1661</span>  </div>
<div class="line"><a name="l01662"></a><span class="lineno"> 1662</span>  <span class="comment">// Handles cases when a destPref is not listed in TensorHandleFactoryRegistry</span></div>
<div class="line"><a name="l01663"></a><span class="lineno"> 1663</span>  <span class="keywordflow">if</span> (!dstFactory) {</div>
<div class="line"><a name="l01664"></a><span class="lineno"> 1664</span>  <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l01665"></a><span class="lineno"> 1665</span>  }</div>
<div class="line"><a name="l01666"></a><span class="lineno"> 1666</span>  <span class="keywordflow">if</span> ((dstFactory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#ab17a7eb3afac8667ace153b0fe2f82fe">GetImportFlags</a>() & srcFactory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a9892b82652ffac03f1e4e7ad93906078">GetExportFlags</a>()) != 0)</div>
<div class="line"><a name="l01667"></a><span class="lineno"> 1667</span>  {</div>
<div class="line"><a name="l01668"></a><span class="lineno"> 1668</span>  <span class="keyword">auto</span> srcCapability = srcFactory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a73fbbe9df988c8cabddea04a8dcb9323">GetCapabilities</a>(&layer, &layer, <a class="code" href="namespacearmnn.xhtml#a10c50bc964cc8cc559eebcd7df5a8af3aa47abd1077ef632a38ada05b6edbf389">CapabilityClass::PaddingRequired</a>);</div>
<div class="line"><a name="l01669"></a><span class="lineno"> 1669</span>  <span class="keyword">auto</span> dstCapability = dstFactory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a73fbbe9df988c8cabddea04a8dcb9323">GetCapabilities</a>(&connectedLayer,</div>
<div class="line"><a name="l01670"></a><span class="lineno"> 1670</span>  &connectedLayer,</div>
<div class="line"><a name="l01671"></a><span class="lineno"> 1671</span>  <a class="code" href="namespacearmnn.xhtml#a10c50bc964cc8cc559eebcd7df5a8af3aa47abd1077ef632a38ada05b6edbf389">CapabilityClass::PaddingRequired</a>);</div>
<div class="line"><a name="l01672"></a><span class="lineno"> 1672</span>  <span class="keyword">auto</span> srcFallback = srcFactory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a73fbbe9df988c8cabddea04a8dcb9323">GetCapabilities</a>(&layer, &layer, <a class="code" href="namespacearmnn.xhtml#a10c50bc964cc8cc559eebcd7df5a8af3a5a3e0409dae79a7940aade8d399dcd5d">CapabilityClass::FallbackImportDisabled</a>);</div>
<div class="line"><a name="l01673"></a><span class="lineno"> 1673</span>  <span class="keyword">auto</span> dstFallback = dstFactory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a73fbbe9df988c8cabddea04a8dcb9323">GetCapabilities</a>(&connectedLayer,</div>
<div class="line"><a name="l01674"></a><span class="lineno"> 1674</span>  &connectedLayer,</div>
<div class="line"><a name="l01675"></a><span class="lineno"> 1675</span>  <a class="code" href="namespacearmnn.xhtml#a10c50bc964cc8cc559eebcd7df5a8af3a5a3e0409dae79a7940aade8d399dcd5d">CapabilityClass::FallbackImportDisabled</a>);</div>
<div class="line"><a name="l01676"></a><span class="lineno"> 1676</span>  <span class="comment">// Do not require memory copy if the source and destination do not require padding.</span></div>
<div class="line"><a name="l01677"></a><span class="lineno"> 1677</span>  <span class="keywordflow">if</span> (srcCapability.empty() && dstCapability.empty() && srcFallback.empty() && dstFallback.empty())</div>
<div class="line"><a name="l01678"></a><span class="lineno"> 1678</span>  {</div>
<div class="line"><a name="l01679"></a><span class="lineno"> 1679</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016a46e8b7bfd6fd3c0cb34a100478a39189">EdgeStrategy::ExportToTarget</a>;</div>
<div class="line"><a name="l01680"></a><span class="lineno"> 1680</span>  }</div>
<div class="line"><a name="l01681"></a><span class="lineno"> 1681</span>  }</div>
<div class="line"><a name="l01682"></a><span class="lineno"> 1682</span>  }</div>
<div class="line"><a name="l01683"></a><span class="lineno"> 1683</span>  }</div>
<div class="line"><a name="l01684"></a><span class="lineno"> 1684</span>  </div>
<div class="line"><a name="l01685"></a><span class="lineno"> 1685</span>  <span class="comment">// Search for copy options via map/unmap</span></div>
<div class="line"><a name="l01686"></a><span class="lineno"> 1686</span>  <span class="keywordflow">if</span> (srcFactory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#aef5b0db52e05e12463d094e509fc8b56">SupportsMapUnmap</a>())</div>
<div class="line"><a name="l01687"></a><span class="lineno"> 1687</span>  {</div>
<div class="line"><a name="l01688"></a><span class="lineno"> 1688</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& pref : dstPrefs)</div>
<div class="line"><a name="l01689"></a><span class="lineno"> 1689</span>  {</div>
<div class="line"><a name="l01690"></a><span class="lineno"> 1690</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">ITensorHandleFactory</a>* dstFactory = registry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml#ae5ecc42140a12c855554a4a621fc8456">GetFactory</a>(pref);</div>
<div class="line"><a name="l01691"></a><span class="lineno"> 1691</span>  <span class="keywordflow">if</span> (dstFactory && dstFactory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#aef5b0db52e05e12463d094e509fc8b56">SupportsMapUnmap</a>())</div>
<div class="line"><a name="l01692"></a><span class="lineno"> 1692</span>  {</div>
<div class="line"><a name="l01693"></a><span class="lineno"> 1693</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016ac366da48cc11956ae377a77751936852">EdgeStrategy::CopyToTarget</a>;</div>
<div class="line"><a name="l01694"></a><span class="lineno"> 1694</span>  }</div>
<div class="line"><a name="l01695"></a><span class="lineno"> 1695</span>  }</div>
<div class="line"><a name="l01696"></a><span class="lineno"> 1696</span>  }</div>
<div class="line"><a name="l01697"></a><span class="lineno"> 1697</span>  </div>
<div class="line"><a name="l01698"></a><span class="lineno"> 1698</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016aec0fc0100c4fc1ce4eea230c3dc10360">EdgeStrategy::Undefined</a>;</div>
<div class="line"><a name="l01699"></a><span class="lineno"> 1699</span> }</div>
<div class="line"><a name="l01700"></a><span class="lineno"> 1700</span>  </div>
<div class="line"><a name="l01701"></a><span class="lineno"> 1701</span> <span class="comment">// Select the TensorHandleFactories and the corresponding memory strategy</span></div>
<div class="line"><a name="l01702"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#acbf7c9a630f03ece800f807d946239ab"> 1702</a></span> <a class="code" href="structarmnn_1_1_optimization_result.xhtml">OptimizationResult</a> <a class="code" href="namespacearmnn.xhtml#acbf7c9a630f03ece800f807d946239ab">SelectTensorHandleStrategy</a>(<a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a>& optGraph,</div>
<div class="line"><a name="l01703"></a><span class="lineno"> 1703</span>  <a class="code" href="namespacearmnn.xhtml#a9173495a61a0092b5f38b855f02c3585">BackendsMap</a>& backends,</div>
<div class="line"><a name="l01704"></a><span class="lineno"> 1704</span>  <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">TensorHandleFactoryRegistry</a>& registry,</div>
<div class="line"><a name="l01705"></a><span class="lineno"> 1705</span>  <span class="keywordtype">bool</span> importEnabled,</div>
<div class="line"><a name="l01706"></a><span class="lineno"> 1706</span>  <span class="keywordtype">bool</span> exportEnabled,</div>
<div class="line"><a name="l01707"></a><span class="lineno"> 1707</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional</a><std::vector<std::string>&> errMessages)</div>
<div class="line"><a name="l01708"></a><span class="lineno"> 1708</span> {</div>
<div class="line"><a name="l01709"></a><span class="lineno"> 1709</span>  <a class="code" href="_profiling_8hpp.xhtml#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"Optimizer_SelectTensorHandleStrategy"</span>);</div>
<div class="line"><a name="l01710"></a><span class="lineno"> 1710</span>  <a class="code" href="structarmnn_1_1_optimization_result.xhtml">OptimizationResult</a> result;</div>
<div class="line"><a name="l01711"></a><span class="lineno"> 1711</span>  </div>
<div class="line"><a name="l01712"></a><span class="lineno"> 1712</span>  optGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#ad6521013ad981519904822f2ada2c4ec">ForEachLayer</a>([&backends, &registry, &result, &errMessages, importEnabled, exportEnabled](<a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>* layer)</div>
<div class="line"><a name="l01713"></a><span class="lineno"> 1713</span>  {</div>
<div class="line"><a name="l01714"></a><span class="lineno"> 1714</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(layer);</div>
<div class="line"><a name="l01715"></a><span class="lineno"> 1715</span>  </div>
<div class="line"><a name="l01716"></a><span class="lineno"> 1716</span>  <span class="comment">// Lets make sure the backend is in our list of supported backends. Something went wrong during backend</span></div>
<div class="line"><a name="l01717"></a><span class="lineno"> 1717</span>  <span class="comment">// assignment if this check fails</span></div>
<div class="line"><a name="l01718"></a><span class="lineno"> 1718</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(backends.find(layer-><a class="code" href="classarmnn_1_1_layer.xhtml#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a>()) != backends.end());</div>
<div class="line"><a name="l01719"></a><span class="lineno"> 1719</span>  </div>
<div class="line"><a name="l01720"></a><span class="lineno"> 1720</span>  <span class="comment">// Check each output separately</span></div>
<div class="line"><a name="l01721"></a><span class="lineno"> 1721</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slotIdx = 0; slotIdx < layer-><a class="code" href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>(); slotIdx++)</div>
<div class="line"><a name="l01722"></a><span class="lineno"> 1722</span>  {</div>
<div class="line"><a name="l01723"></a><span class="lineno"> 1723</span>  <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>& outputSlot = layer-><a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(slotIdx);</div>
<div class="line"><a name="l01724"></a><span class="lineno"> 1724</span>  </div>
<div class="line"><a name="l01725"></a><span class="lineno"> 1725</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> slotOption = <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a9c95f90eb40e31f629e0e2947b8bc6f9">ITensorHandleFactory::LegacyFactoryId</a>;</div>
<div class="line"><a name="l01726"></a><span class="lineno"> 1726</span>  </div>
<div class="line"><a name="l01727"></a><span class="lineno"> 1727</span>  <span class="comment">// Calculate the factory to use which results in the fewest copies being made.</span></div>
<div class="line"><a name="l01728"></a><span class="lineno"> 1728</span>  <span class="keywordflow">switch</span>(layer-><a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>())</div>
<div class="line"><a name="l01729"></a><span class="lineno"> 1729</span>  {</div>
<div class="line"><a name="l01730"></a><span class="lineno"> 1730</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>:</div>
<div class="line"><a name="l01731"></a><span class="lineno"> 1731</span>  slotOption = <a class="code" href="namespacearmnn.xhtml#a5f34318a121e010053655204df94720c">CalculateSlotOptionForInput</a>(backends, outputSlot, registry, importEnabled);</div>
<div class="line"><a name="l01732"></a><span class="lineno"> 1732</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l01733"></a><span class="lineno"> 1733</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a>:</div>
<div class="line"><a name="l01734"></a><span class="lineno"> 1734</span>  slotOption = <a class="code" href="namespacearmnn.xhtml#ab46c7f5f4736d550ab0e5e05a0fff4a9">CalculateSlotOptionForOutput</a>(backends, outputSlot, registry);</div>
<div class="line"><a name="l01735"></a><span class="lineno"> 1735</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l01736"></a><span class="lineno"> 1736</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l01737"></a><span class="lineno"> 1737</span>  slotOption = <a class="code" href="namespacearmnn.xhtml#ad52508167694d6d259525b3eec1a4267">CalculateSlotOption</a>(backends, outputSlot, registry, exportEnabled);</div>
<div class="line"><a name="l01738"></a><span class="lineno"> 1738</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l01739"></a><span class="lineno"> 1739</span>  }</div>
<div class="line"><a name="l01740"></a><span class="lineno"> 1740</span>  outputSlot.<a class="code" href="classarmnn_1_1_output_slot.xhtml#af29f6883785691ef946d0c32b6d2f338">SetTensorHandleFactory</a>(slotOption);</div>
<div class="line"><a name="l01741"></a><span class="lineno"> 1741</span>  </div>
<div class="line"><a name="l01742"></a><span class="lineno"> 1742</span>  <span class="comment">// Now determine the "best" edge strategy for each connection given the slotOption.</span></div>
<div class="line"><a name="l01743"></a><span class="lineno"> 1743</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> connectionIdx = 0;</div>
<div class="line"><a name="l01744"></a><span class="lineno"> 1744</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& connection : outputSlot.<a class="code" href="classarmnn_1_1_output_slot.xhtml#a50b562d4a4edc64d7d8abcca056f0b8c">GetConnections</a>())</div>
<div class="line"><a name="l01745"></a><span class="lineno"> 1745</span>  {</div>
<div class="line"><a name="l01746"></a><span class="lineno"> 1746</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& connectedLayer = connection->GetOwningLayer();</div>
<div class="line"><a name="l01747"></a><span class="lineno"> 1747</span>  </div>
<div class="line"><a name="l01748"></a><span class="lineno"> 1748</span>  <a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016">EdgeStrategy</a> strategy = <a class="code" href="namespacearmnn.xhtml#a738d3243c1dc564304d78908c6112e4f">CalculateEdgeStrategy</a>(backends, slotOption, *layer, connectedLayer,</div>
<div class="line"><a name="l01749"></a><span class="lineno"> 1749</span>  registry, importEnabled);</div>
<div class="line"><a name="l01750"></a><span class="lineno"> 1750</span>  </div>
<div class="line"><a name="l01751"></a><span class="lineno"> 1751</span>  <span class="keywordflow">if</span> (strategy == <a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016aec0fc0100c4fc1ce4eea230c3dc10360">EdgeStrategy::Undefined</a>)</div>
<div class="line"><a name="l01752"></a><span class="lineno"> 1752</span>  {</div>
<div class="line"><a name="l01753"></a><span class="lineno"> 1753</span>  result.<a class="code" href="structarmnn_1_1_optimization_result.xhtml#a41a657cfacb52a80a73575c5c730ab88">m_Error</a> = <span class="keyword">true</span>;</div>
<div class="line"><a name="l01754"></a><span class="lineno"> 1754</span>  <span class="keywordflow">if</span> (errMessages)</div>
<div class="line"><a name="l01755"></a><span class="lineno"> 1755</span>  {</div>
<div class="line"><a name="l01756"></a><span class="lineno"> 1756</span>  errMessages.value().emplace_back(<span class="stringliteral">"Could not find valid strategy required for compatibility"</span></div>
<div class="line"><a name="l01757"></a><span class="lineno"> 1757</span>  <span class="stringliteral">" between backends."</span>);</div>
<div class="line"><a name="l01758"></a><span class="lineno"> 1758</span>  }</div>
<div class="line"><a name="l01759"></a><span class="lineno"> 1759</span>  <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l01760"></a><span class="lineno"> 1760</span>  }</div>
<div class="line"><a name="l01761"></a><span class="lineno"> 1761</span>  </div>
<div class="line"><a name="l01762"></a><span class="lineno"> 1762</span>  outputSlot.<a class="code" href="classarmnn_1_1_output_slot.xhtml#a3f80ddd1f76ed4ad599e0d1a00659ee5">SetEdgeStrategy</a>(connectionIdx, strategy);</div>
<div class="line"><a name="l01763"></a><span class="lineno"> 1763</span>  </div>
<div class="line"><a name="l01764"></a><span class="lineno"> 1764</span>  connectionIdx++;</div>
<div class="line"><a name="l01765"></a><span class="lineno"> 1765</span>  }</div>
<div class="line"><a name="l01766"></a><span class="lineno"> 1766</span>  }</div>
<div class="line"><a name="l01767"></a><span class="lineno"> 1767</span>  });</div>
<div class="line"><a name="l01768"></a><span class="lineno"> 1768</span>  </div>
<div class="line"><a name="l01769"></a><span class="lineno"> 1769</span>  <span class="keywordflow">return</span> result;</div>
<div class="line"><a name="l01770"></a><span class="lineno"> 1770</span> }</div>
<div class="line"><a name="l01771"></a><span class="lineno"> 1771</span>  </div>
<div class="line"><a name="l01772"></a><span class="lineno"> 1772</span> <span class="comment">// Forwarding function to remain backward compatible with legacy OptimizerOptions</span></div>
<div class="line"><a name="l01773"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a4c79e02d43c1fac7d2f073663ef9ca5d"> 1773</a></span> <a class="code" href="namespacearmnn.xhtml#a674efcf6cbdb9e831d653ff0e821fb38">IOptimizedNetworkPtr</a> <a class="code" href="namespacearmnn.xhtml#aa42e128b41f4e966fc901f9bf42c5a1c">Optimize</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a>& inGraph,</div>
<div class="line"><a name="l01774"></a><span class="lineno"> 1774</span>  <span class="keyword">const</span> std::vector<BackendId>& backendPreferences,</div>
<div class="line"><a name="l01775"></a><span class="lineno"> 1775</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_device_spec.xhtml">IDeviceSpec</a>& deviceSpec,</div>
<div class="line"><a name="l01776"></a><span class="lineno"> 1776</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_optimizer_options.xhtml">OptimizerOptions</a>& options,</div>
<div class="line"><a name="l01777"></a><span class="lineno"> 1777</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional</a><std::vector<std::string>&> messages)</div>
<div class="line"><a name="l01778"></a><span class="lineno"> 1778</span> {</div>
<div class="line"><a name="l01779"></a><span class="lineno"> 1779</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#aa42e128b41f4e966fc901f9bf42c5a1c">Optimize</a>(inGraph,</div>
<div class="line"><a name="l01780"></a><span class="lineno"> 1780</span>  backendPreferences,</div>
<div class="line"><a name="l01781"></a><span class="lineno"> 1781</span>  deviceSpec,</div>
<div class="line"><a name="l01782"></a><span class="lineno"> 1782</span>  <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml">OptimizerOptionsOpaque</a>(options),</div>
<div class="line"><a name="l01783"></a><span class="lineno"> 1783</span>  messages);</div>
<div class="line"><a name="l01784"></a><span class="lineno"> 1784</span> }</div>
<div class="line"><a name="l01785"></a><span class="lineno"> 1785</span>  </div>
<div class="line"><a name="l01786"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a31b06d0ee0a2eb5879f9af482913a0fe"> 1786</a></span> <a class="code" href="namespacearmnn.xhtml#a674efcf6cbdb9e831d653ff0e821fb38">IOptimizedNetworkPtr</a> <a class="code" href="namespacearmnn.xhtml#aa42e128b41f4e966fc901f9bf42c5a1c">Optimize</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a>& inGraph,</div>
<div class="line"><a name="l01787"></a><span class="lineno"> 1787</span>  <span class="keyword">const</span> std::vector<BackendId>& backendPreferences,</div>
<div class="line"><a name="l01788"></a><span class="lineno"> 1788</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_device_spec.xhtml">IDeviceSpec</a>& deviceSpec,</div>
<div class="line"><a name="l01789"></a><span class="lineno"> 1789</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml">OptimizerOptionsOpaque</a>& options,</div>
<div class="line"><a name="l01790"></a><span class="lineno"> 1790</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional</a><std::vector<std::string>&> messages)</div>
<div class="line"><a name="l01791"></a><span class="lineno"> 1791</span> {</div>
<div class="line"><a name="l01792"></a><span class="lineno"> 1792</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407aad42f6697b035b7580e4fef93be20b4d">debug</a>) << options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a906953de2f5edc60b2c27bd720a70aa4">ToString</a>();</div>
<div class="line"><a name="l01793"></a><span class="lineno"> 1793</span>  </div>
<div class="line"><a name="l01794"></a><span class="lineno"> 1794</span>  <span class="comment">// Enable profiling</span></div>
<div class="line"><a name="l01795"></a><span class="lineno"> 1795</span>  <span class="keyword">auto</span> profiler = inGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a880db527e7dbf8d0de3fee52ba072482">GetProfiler</a>();</div>
<div class="line"><a name="l01796"></a><span class="lineno"> 1796</span>  <a class="code" href="classarmnn_1_1_profiler_manager.xhtml#a93857080c2523bf3395e7aa7e6024d5c">ProfilerManager::GetInstance</a>().<a class="code" href="classarmnn_1_1_profiler_manager.xhtml#a7b1e3e5bf386004541be2b5b22443208">RegisterProfiler</a>(profiler.get());</div>
<div class="line"><a name="l01797"></a><span class="lineno"> 1797</span>  profiler->EnableProfiling(options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a4527a67076f983e8db3496207d120fb5">GetProfilingEnabled</a>());</div>
<div class="line"><a name="l01798"></a><span class="lineno"> 1798</span>  </div>
<div class="line"><a name="l01799"></a><span class="lineno"> 1799</span>  <a class="code" href="_profiling_8hpp.xhtml#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"Optimizer"</span>);</div>
<div class="line"><a name="l01800"></a><span class="lineno"> 1800</span>  <span class="keywordflow">if</span> (backendPreferences.empty())</div>
<div class="line"><a name="l01801"></a><span class="lineno"> 1801</span>  {</div>
<div class="line"><a name="l01802"></a><span class="lineno"> 1802</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"Invoked Optimize with no backends specified"</span>);</div>
<div class="line"><a name="l01803"></a><span class="lineno"> 1803</span>  }</div>
<div class="line"><a name="l01804"></a><span class="lineno"> 1804</span>  </div>
<div class="line"><a name="l01805"></a><span class="lineno"> 1805</span>  <span class="keywordflow">if</span> (options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a41297bcbc0f576cba32fabcdb2f893b8">GetReduceFp32ToBf16</a>())</div>
<div class="line"><a name="l01806"></a><span class="lineno"> 1806</span>  {</div>
<div class="line"><a name="l01807"></a><span class="lineno"> 1807</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"BFloat16 optimization is currently ignored. In order to use Bf16 optimization "</span></div>
<div class="line"><a name="l01808"></a><span class="lineno"> 1808</span>  <span class="stringliteral">"Please use the FastMathEnabled backend option for CpuAcc or GpuAcc."</span>);</div>
<div class="line"><a name="l01809"></a><span class="lineno"> 1809</span>  }</div>
<div class="line"><a name="l01810"></a><span class="lineno"> 1810</span>  </div>
<div class="line"><a name="l01811"></a><span class="lineno"> 1811</span>  <span class="keywordflow">if</span> (options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a70dc46a7e4105cf24df5a5bb58ae07a5">GetReduceFp32ToFp16</a>() && options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a41297bcbc0f576cba32fabcdb2f893b8">GetReduceFp32ToBf16</a>())</div>
<div class="line"><a name="l01812"></a><span class="lineno"> 1812</span>  {</div>
<div class="line"><a name="l01813"></a><span class="lineno"> 1813</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"BFloat16 and Float16 optimization cannot be enabled at the same time."</span>);</div>
<div class="line"><a name="l01814"></a><span class="lineno"> 1814</span>  }</div>
<div class="line"><a name="l01815"></a><span class="lineno"> 1815</span>  </div>
<div class="line"><a name="l01816"></a><span class="lineno"> 1816</span>  <span class="comment">// Ensure TensorInfo is set on all output slots of ConstantLayers in the graph</span></div>
<div class="line"><a name="l01817"></a><span class="lineno"> 1817</span>  inGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a6cc2c46f05be1d3bf113d632aed1e496">VerifyConstantLayerSetTensorInfo</a>();</div>
<div class="line"><a name="l01818"></a><span class="lineno"> 1818</span>  </div>
<div class="line"><a name="l01819"></a><span class="lineno"> 1819</span>  std::unique_ptr<Graph> graph = std::make_unique<Graph>(inGraph);</div>
<div class="line"><a name="l01820"></a><span class="lineno"> 1820</span>  </div>
<div class="line"><a name="l01821"></a><span class="lineno"> 1821</span>  <span class="comment">// We need to pass on the information about whether import and export is enabled to the LoadNetwork phase.</span></div>
<div class="line"><a name="l01822"></a><span class="lineno"> 1822</span>  <span class="comment">// The mechanism to do that is to add model options to the optimized network.</span></div>
<div class="line"><a name="l01823"></a><span class="lineno"> 1823</span>  <a class="code" href="structarmnn_1_1_backend_options.xhtml">armnn::BackendOptions</a> importExport(<span class="stringliteral">"Global"</span>,</div>
<div class="line"><a name="l01824"></a><span class="lineno"> 1824</span>  {{<span class="stringliteral">"ImportEnabled"</span>, options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a3cb5ef29e47f60acd88b16d6fee254f5">GetImportEnabled</a>()},</div>
<div class="line"><a name="l01825"></a><span class="lineno"> 1825</span>  {<span class="stringliteral">"ExportEnabled"</span>, options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#af7a1f38591d1a19952ac13515becc894">GetExportEnabled</a>()}});</div>
<div class="line"><a name="l01826"></a><span class="lineno"> 1826</span>  <a class="code" href="namespacearmnn.xhtml#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> optimizedOptions(options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#aac024dacf704e6933d1a6b18d5330738">GetModelOptions</a>());</div>
<div class="line"><a name="l01827"></a><span class="lineno"> 1827</span>  optimizedOptions.push_back(importExport);</div>
<div class="line"><a name="l01828"></a><span class="lineno"> 1828</span>  </div>
<div class="line"><a name="l01829"></a><span class="lineno"> 1829</span>  <span class="keyword">auto</span> optNet = <a class="code" href="namespacearmnn.xhtml#a674efcf6cbdb9e831d653ff0e821fb38">IOptimizedNetworkPtr</a>(<span class="keyword">new</span> <a class="code" href="classarmnn_1_1_i_optimized_network.xhtml">IOptimizedNetwork</a>(std::move(graph), optimizedOptions),</div>
<div class="line"><a name="l01830"></a><span class="lineno"> 1830</span>  &<a class="code" href="classarmnn_1_1_i_optimized_network.xhtml#a58ee539cf95c1e99fe4f54ef6e8bbd05">IOptimizedNetwork::Destroy</a>);</div>
<div class="line"><a name="l01831"></a><span class="lineno"> 1831</span>  </div>
<div class="line"><a name="l01832"></a><span class="lineno"> 1832</span>  <a class="code" href="classarmnn_1_1_i_optimized_network.xhtml">IOptimizedNetwork</a>* optNetObjPtr = optNet.get();</div>
<div class="line"><a name="l01833"></a><span class="lineno"> 1833</span>  </div>
<div class="line"><a name="l01834"></a><span class="lineno"> 1834</span>  <span class="comment">// Get the optimized graph</span></div>
<div class="line"><a name="l01835"></a><span class="lineno"> 1835</span>  <a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a>& optGraph = optNetObjPtr-><a class="code" href="classarmnn_1_1_i_optimized_network.xhtml#a374d52340ec8dc02a819acc20fb5aa92">pOptimizedNetworkImpl</a>->GetGraph();</div>
<div class="line"><a name="l01836"></a><span class="lineno"> 1836</span>  </div>
<div class="line"><a name="l01837"></a><span class="lineno"> 1837</span>  <span class="keywordflow">if</span>(options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a4d0994094ec68328df73a00304fb4af6">GetShapeInferenceMethod</a>() == <a class="code" href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9a5dd7c525cb1500a2181fd4cc079d7acb">ShapeInferenceMethod::InferAndValidate</a>)</div>
<div class="line"><a name="l01838"></a><span class="lineno"> 1838</span>  {</div>
<div class="line"><a name="l01839"></a><span class="lineno"> 1839</span>  <span class="comment">// Infer the tensor infos for all output slots. Throws an exception on failure</span></div>
<div class="line"><a name="l01840"></a><span class="lineno"> 1840</span>  optGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a2ceda8d369e861997d558fac74d79c33">InferTensorInfos</a>();</div>
<div class="line"><a name="l01841"></a><span class="lineno"> 1841</span>  }</div>
<div class="line"><a name="l01842"></a><span class="lineno"> 1842</span>  </div>
<div class="line"><a name="l01843"></a><span class="lineno"> 1843</span>  <span class="comment">// Perform AddBroadcastReshapeLayer optimisation</span></div>
<div class="line"><a name="l01844"></a><span class="lineno"> 1844</span>  <span class="keyword">using namespace </span>optimizations;</div>
<div class="line"><a name="l01845"></a><span class="lineno"> 1845</span>  <a class="code" href="classarmnn_1_1_optimizer.xhtml#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.xhtml#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.xhtml#a4fc55afb4885278ad1510b2c4307af76">AddBroadcastReshapeLayer</a>()));</div>
<div class="line"><a name="l01846"></a><span class="lineno"> 1846</span>  </div>
<div class="line"><a name="l01847"></a><span class="lineno"> 1847</span>  <span class="keywordflow">if</span>(options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a4d0994094ec68328df73a00304fb4af6">GetShapeInferenceMethod</a>() == <a class="code" href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9af6486a22a9bb11959bfae60a3e5174b1">ShapeInferenceMethod::ValidateOnly</a>)</div>
<div class="line"><a name="l01848"></a><span class="lineno"> 1848</span>  {</div>
<div class="line"><a name="l01849"></a><span class="lineno"> 1849</span>  <span class="comment">// Validate the tensor infos for all output slots. Throws an exception on failure</span></div>
<div class="line"><a name="l01850"></a><span class="lineno"> 1850</span>  optGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a2ceda8d369e861997d558fac74d79c33">InferTensorInfos</a>();</div>
<div class="line"><a name="l01851"></a><span class="lineno"> 1851</span>  }</div>
<div class="line"><a name="l01852"></a><span class="lineno"> 1852</span>  </div>
<div class="line"><a name="l01853"></a><span class="lineno"> 1853</span>  </div>
<div class="line"><a name="l01854"></a><span class="lineno"> 1854</span>  <span class="comment">// Group Constant Layer optimizations together where possible.</span></div>
<div class="line"><a name="l01855"></a><span class="lineno"> 1855</span>  <span class="comment">// This is important as:</span></div>
<div class="line"><a name="l01856"></a><span class="lineno"> 1856</span>  <span class="comment">// FusePermuteIntoConstantLayer must happen before FoldPadIntoDepthwiseConvolution2d and</span></div>
<div class="line"><a name="l01857"></a><span class="lineno"> 1857</span>  <span class="comment">// FuseBatchNormIntoDepthwiseConvolution2D.</span></div>
<div class="line"><a name="l01858"></a><span class="lineno"> 1858</span>  <span class="comment">// ConvertConstDequantisationLayersToConstLayers must happen before FoldPadIntoConvolution2d</span></div>
<div class="line"><a name="l01859"></a><span class="lineno"> 1859</span>  <a class="code" href="classarmnn_1_1_optimizer.xhtml#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.xhtml#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.xhtml#ad668074369437a111649f51296ff8959">FusePermuteIntoConstLayer</a>(),</div>
<div class="line"><a name="l01860"></a><span class="lineno"> 1860</span>  <a class="code" href="namespacearmnn_1_1optimizations.xhtml#a4dfbdc8cc90b67e74eccd146d977ff66">ConvertConstDequantisationLayersToConstLayers</a>()));</div>
<div class="line"><a name="l01861"></a><span class="lineno"> 1861</span>  <span class="comment">// Perform optimisation passes</span></div>
<div class="line"><a name="l01862"></a><span class="lineno"> 1862</span>  <a class="code" href="classarmnn_1_1_optimizer.xhtml#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.xhtml#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.xhtml#a64ddffb38fbe5b78ec92b753cd4bd0ba">SquashEqualPermuteSiblings</a>(),</div>
<div class="line"><a name="l01863"></a><span class="lineno"> 1863</span>  <a class="code" href="namespacearmnn_1_1optimizations.xhtml#aba7b0ca6192b8b58ecd517a82b4f378e">SquashEqualTransposeSiblings</a>(),</div>
<div class="line"><a name="l01864"></a><span class="lineno"> 1864</span>  <a class="code" href="namespacearmnn_1_1optimizations.xhtml#a29f8d97b2d74f99c88298881cd1d825b">SquashEqualReshapeSiblings</a>(),</div>
<div class="line"><a name="l01865"></a><span class="lineno"> 1865</span>  <a class="code" href="namespacearmnn_1_1optimizations.xhtml#aa31127c77d2117f78d43ca2958dcae19">OptimizeInversePermutes</a>(),</div>
<div class="line"><a name="l01866"></a><span class="lineno"> 1866</span>  <a class="code" href="namespacearmnn_1_1optimizations.xhtml#a2f9d1a13be2ac1c4213729a0ef181fc0">OptimizeInverseTransposes</a>(),</div>
<div class="line"><a name="l01867"></a><span class="lineno"> 1867</span>  <a class="code" href="namespacearmnn_1_1optimizations.xhtml#aafc70d5af99400ff5ea7991825658b2f">MovePermuteUp</a>(),</div>
<div class="line"><a name="l01868"></a><span class="lineno"> 1868</span>  <a class="code" href="namespacearmnn_1_1optimizations.xhtml#a5918588fa316cf4c23f1cf02c81ee706">MoveTransposeUp</a>(),</div>
<div class="line"><a name="l01869"></a><span class="lineno"> 1869</span>  <a class="code" href="namespacearmnn_1_1optimizations.xhtml#ae0b1382e3af141896a46531c50e8863f">PermuteAsReshape</a>(),</div>
<div class="line"><a name="l01870"></a><span class="lineno"> 1870</span>  <a class="code" href="namespacearmnn_1_1optimizations.xhtml#ad1aaeee71293f34d9f65d2dd2792830d">TransposeAsReshape</a>(),</div>
<div class="line"><a name="l01871"></a><span class="lineno"> 1871</span>  <a class="code" href="namespacearmnn_1_1optimizations.xhtml#a8341ca3512ebafb19d60eba44d40d9e4">OptimizeConsecutiveReshapes</a>(),</div>
<div class="line"><a name="l01872"></a><span class="lineno"> 1872</span>  <a class="code" href="namespacearmnn_1_1optimizations.xhtml#a8b394ff60ed829a91f07deac476f3db2">FoldPadIntoConvolution2d</a>(),</div>
<div class="line"><a name="l01873"></a><span class="lineno"> 1873</span>  <a class="code" href="namespacearmnn_1_1optimizations.xhtml#a227e9ab5e488aa90ba462790ba0e5aec">FoldPadIntoDepthwiseConvolution2d</a>(),</div>
<div class="line"><a name="l01874"></a><span class="lineno"> 1874</span>  <a class="code" href="namespacearmnn_1_1optimizations.xhtml#a279d0a7c56966cea334303d48a874964">FoldPadIntoPooling2d</a>(),</div>
<div class="line"><a name="l01875"></a><span class="lineno"> 1875</span>  <a class="code" href="namespacearmnn_1_1optimizations.xhtml#a17d1279f5f8e3b92c328b1ed3b6fd549">PermuteAndBatchToSpaceAsDepthToSpace</a>(),</div>
<div class="line"><a name="l01876"></a><span class="lineno"> 1876</span>  <a class="code" href="namespacearmnn_1_1optimizations.xhtml#a98f54d4391347d517c7a7869e7707203">TransposeAndBatchToSpaceAsDepthToSpace</a>(),</div>
<div class="line"><a name="l01877"></a><span class="lineno"> 1877</span>  <a class="code" href="namespacearmnn_1_1optimizations.xhtml#aa52c06792e18dc13030e82476f706f9e">FuseBatchNormIntoConvolution2DFloat32</a>(),</div>
<div class="line"><a name="l01878"></a><span class="lineno"> 1878</span>  <a class="code" href="namespacearmnn_1_1optimizations.xhtml#a8a81178ddcebb93ec0c35b6e6284273c">FuseBatchNormIntoConvolution2DFloat16</a>(),</div>
<div class="line"><a name="l01879"></a><span class="lineno"> 1879</span>  <a class="code" href="namespacearmnn_1_1optimizations.xhtml#a56e54a818166a2f4b2c1a7f76a3629ff">FuseBatchNormIntoDepthwiseConvolution2DFloat32</a>(),</div>
<div class="line"><a name="l01880"></a><span class="lineno"> 1880</span>  <a class="code" href="namespacearmnn_1_1optimizations.xhtml#ab40bb51feca46649eb9d00522bfe51f6">FuseBatchNormIntoDepthwiseConvolution2DFloat16</a>()));</div>
<div class="line"><a name="l01881"></a><span class="lineno"> 1881</span>  </div>
<div class="line"><a name="l01882"></a><span class="lineno"> 1882</span>  </div>
<div class="line"><a name="l01883"></a><span class="lineno"> 1883</span>  <span class="keywordflow">if</span> (options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a70dc46a7e4105cf24df5a5bb58ae07a5">GetReduceFp32ToFp16</a>())</div>
<div class="line"><a name="l01884"></a><span class="lineno"> 1884</span>  {</div>
<div class="line"><a name="l01885"></a><span class="lineno"> 1885</span>  <a class="code" href="_profiling_8hpp.xhtml#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"Optimizer_ReduceFp32ToFp16"</span>);</div>
<div class="line"><a name="l01886"></a><span class="lineno"> 1886</span>  <a class="code" href="classarmnn_1_1_optimizer.xhtml#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.xhtml#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.xhtml#a86d19da62b6cfed3928f6fe7026f22fa">Fp32NetworkToFp16Converter</a>()));</div>
<div class="line"><a name="l01887"></a><span class="lineno"> 1887</span>  <a class="code" href="classarmnn_1_1_optimizer.xhtml#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.xhtml#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.xhtml#a226cef3d775179e25ee35d231f4e8fae">ConvertConstantsFloatToHalf</a>()));</div>
<div class="line"><a name="l01888"></a><span class="lineno"> 1888</span>  }</div>
<div class="line"><a name="l01889"></a><span class="lineno"> 1889</span>  </div>
<div class="line"><a name="l01890"></a><span class="lineno"> 1890</span>  <span class="comment">// Initialize backend settings</span></div>
<div class="line"><a name="l01891"></a><span class="lineno"> 1891</span>  <a class="code" href="structarmnn_1_1_backend_settings.xhtml">BackendSettings</a> backendSettings(backendPreferences, deviceSpec);</div>
<div class="line"><a name="l01892"></a><span class="lineno"> 1892</span>  <span class="keywordflow">if</span> (backendSettings.<a class="code" href="structarmnn_1_1_backend_settings.xhtml#ad4ca579528452c669b45f3f35300fd4e">GetAvailablePreferredBackends</a>().empty())</div>
<div class="line"><a name="l01893"></a><span class="lineno"> 1893</span>  {</div>
<div class="line"><a name="l01894"></a><span class="lineno"> 1894</span>  std::stringstream failureMsg;</div>
<div class="line"><a name="l01895"></a><span class="lineno"> 1895</span>  failureMsg << <span class="stringliteral">"None of the preferred backends "</span> << backendPreferences</div>
<div class="line"><a name="l01896"></a><span class="lineno"> 1896</span>  << <span class="stringliteral">" are supported. Current platform provides "</span> << backendSettings.<a class="code" href="structarmnn_1_1_backend_settings.xhtml#a0b160952af61b24d88125d66ed6d43c1">m_SupportedBackends</a>;</div>
<div class="line"><a name="l01897"></a><span class="lineno"> 1897</span>  <a class="code" href="namespacearmnn.xhtml#a3cf1cee98e0ed8b54263ec7279f6ec69">ReportError</a>(failureMsg.str(), messages);</div>
<div class="line"><a name="l01898"></a><span class="lineno"> 1898</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(failureMsg.str());</div>
<div class="line"><a name="l01899"></a><span class="lineno"> 1899</span>  }</div>
<div class="line"><a name="l01900"></a><span class="lineno"> 1900</span>  </div>
<div class="line"><a name="l01901"></a><span class="lineno"> 1901</span>  <span class="comment">// Create a map to temporarily hold initialized backend objects</span></div>
<div class="line"><a name="l01902"></a><span class="lineno"> 1902</span>  <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">TensorHandleFactoryRegistry</a> tensorHandleFactoryRegistry;</div>
<div class="line"><a name="l01903"></a><span class="lineno"> 1903</span>  <a class="code" href="namespacearmnn.xhtml#a9173495a61a0092b5f38b855f02c3585">BackendsMap</a> backends = <a class="code" href="namespacearmnn.xhtml#a1ec6b4c20ed294a96cf94c33c24caaf5">CreateSupportedBackends</a>(tensorHandleFactoryRegistry, backendSettings);</div>
<div class="line"><a name="l01904"></a><span class="lineno"> 1904</span>  </div>
<div class="line"><a name="l01905"></a><span class="lineno"> 1905</span>  <span class="comment">// Assign an available backend to each layer</span></div>
<div class="line"><a name="l01906"></a><span class="lineno"> 1906</span>  <a class="code" href="classarmnn_1_1_graph.xhtml#acc25db0641c1c22faf95af3bb49080c9">Graph::Iterator</a> firstLayer = optGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a2387033802383edbdc95f9bbb12a707e">begin</a>();</div>
<div class="line"><a name="l01907"></a><span class="lineno"> 1907</span>  <a class="code" href="classarmnn_1_1_graph.xhtml#acc25db0641c1c22faf95af3bb49080c9">Graph::Iterator</a> lastLayer = optGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#ab45dae688fc5d8983727abffa4389003">end</a>();</div>
<div class="line"><a name="l01908"></a><span class="lineno"> 1908</span>  <a class="code" href="structarmnn_1_1_optimization_result.xhtml">OptimizationResult</a> assignBackendsResult = <a class="code" href="namespacearmnn.xhtml#a839ad76f1f52a70b540805b231f05d9c">AssignBackends</a>(optNetObjPtr-><a class="code" href="classarmnn_1_1_i_optimized_network.xhtml#a374d52340ec8dc02a819acc20fb5aa92">pOptimizedNetworkImpl</a>.get(),</div>
<div class="line"><a name="l01909"></a><span class="lineno"> 1909</span>  backendSettings,</div>
<div class="line"><a name="l01910"></a><span class="lineno"> 1910</span>  firstLayer,</div>
<div class="line"><a name="l01911"></a><span class="lineno"> 1911</span>  lastLayer,</div>
<div class="line"><a name="l01912"></a><span class="lineno"> 1912</span>  messages);</div>
<div class="line"><a name="l01913"></a><span class="lineno"> 1913</span>  <span class="keywordflow">if</span> (assignBackendsResult.<a class="code" href="structarmnn_1_1_optimization_result.xhtml#a41a657cfacb52a80a73575c5c730ab88">m_Error</a>)</div>
<div class="line"><a name="l01914"></a><span class="lineno"> 1914</span>  {</div>
<div class="line"><a name="l01915"></a><span class="lineno"> 1915</span>  <span class="comment">// Failed to assign a backend to each layer</span></div>
<div class="line"><a name="l01916"></a><span class="lineno"> 1916</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"Failed to assign a backend to each layer"</span>);</div>
<div class="line"><a name="l01917"></a><span class="lineno"> 1917</span>  }</div>
<div class="line"><a name="l01918"></a><span class="lineno"> 1918</span>  </div>
<div class="line"><a name="l01919"></a><span class="lineno"> 1919</span>  <a class="code" href="classarmnn_1_1_optimizer.xhtml#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.xhtml#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.xhtml#a1a9d718b48612b5817a3c369f9fd71ee">OptimizeInverseConversionsFp16</a>(),</div>
<div class="line"><a name="l01920"></a><span class="lineno"> 1920</span>  <a class="code" href="namespacearmnn_1_1optimizations.xhtml#ae1509d340bc981b11101c3316ee8afd6">OptimizeInverseConversionsFp32</a>()));</div>
<div class="line"><a name="l01921"></a><span class="lineno"> 1921</span>  </div>
<div class="line"><a name="l01922"></a><span class="lineno"> 1922</span>  <span class="comment">// Apply the backend-specific optimizations</span></div>
<div class="line"><a name="l01923"></a><span class="lineno"> 1923</span>  <a class="code" href="structarmnn_1_1_optimization_result.xhtml">OptimizationResult</a> backendOptimizationResult = <a class="code" href="namespacearmnn.xhtml#ac39f2b15d34d3e2fc74d586fc3e26231">ApplyBackendOptimizations</a>(optNetObjPtr-><a class="code" href="classarmnn_1_1_i_optimized_network.xhtml#a374d52340ec8dc02a819acc20fb5aa92">pOptimizedNetworkImpl</a>.get(),</div>
<div class="line"><a name="l01924"></a><span class="lineno"> 1924</span>  backendSettings,</div>
<div class="line"><a name="l01925"></a><span class="lineno"> 1925</span>  backends,</div>
<div class="line"><a name="l01926"></a><span class="lineno"> 1926</span>  options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#aac024dacf704e6933d1a6b18d5330738">GetModelOptions</a>(),</div>
<div class="line"><a name="l01927"></a><span class="lineno"> 1927</span>  messages);</div>
<div class="line"><a name="l01928"></a><span class="lineno"> 1928</span>  <span class="keywordflow">if</span> (backendOptimizationResult.<a class="code" href="structarmnn_1_1_optimization_result.xhtml#a41a657cfacb52a80a73575c5c730ab88">m_Error</a>)</div>
<div class="line"><a name="l01929"></a><span class="lineno"> 1929</span>  {</div>
<div class="line"><a name="l01930"></a><span class="lineno"> 1930</span>  <span class="comment">// Failed to apply the backend-specific optimizations</span></div>
<div class="line"><a name="l01931"></a><span class="lineno"> 1931</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"Failed to apply the backend-specific optimizations"</span>);</div>
<div class="line"><a name="l01932"></a><span class="lineno"> 1932</span>  }</div>
<div class="line"><a name="l01933"></a><span class="lineno"> 1933</span>  </div>
<div class="line"><a name="l01934"></a><span class="lineno"> 1934</span>  <span class="comment">// Convert constants</span></div>
<div class="line"><a name="l01935"></a><span class="lineno"> 1935</span>  {</div>
<div class="line"><a name="l01936"></a><span class="lineno"> 1936</span>  <a class="code" href="_profiling_8hpp.xhtml#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"Optimizer_ConvertConstants"</span>);</div>
<div class="line"><a name="l01937"></a><span class="lineno"> 1937</span>  <a class="code" href="classarmnn_1_1_optimizer.xhtml#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.xhtml#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.xhtml#a226cef3d775179e25ee35d231f4e8fae">ConvertConstantsFloatToHalf</a>()));</div>
<div class="line"><a name="l01938"></a><span class="lineno"> 1938</span>  <a class="code" href="classarmnn_1_1_optimizer.xhtml#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.xhtml#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.xhtml#a06cac66872538895dd6b59cdf39173d2">ConvertConstantsHalfToFloat</a>()));</div>
<div class="line"><a name="l01939"></a><span class="lineno"> 1939</span>  }</div>
<div class="line"><a name="l01940"></a><span class="lineno"> 1940</span>  </div>
<div class="line"><a name="l01941"></a><span class="lineno"> 1941</span>  <span class="comment">// This must occur after all topological changes to the graph and any redirection of variables</span></div>
<div class="line"><a name="l01942"></a><span class="lineno"> 1942</span>  <span class="comment">// If the debug flag is set, then insert a DebugLayer after each layer</span></div>
<div class="line"><a name="l01943"></a><span class="lineno"> 1943</span>  <span class="comment">// Doing this after applying the backend optimizations as they might have changed some layers</span></div>
<div class="line"><a name="l01944"></a><span class="lineno"> 1944</span>  <span class="keywordflow">if</span> (options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a5c25504e5efe52a17f5b0ca45753aaf0">GetDebugEnabled</a>() && !options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a8933eb842c6152f61535b69bd37c867e">GetDebugToFileEnabled</a>())</div>
<div class="line"><a name="l01945"></a><span class="lineno"> 1945</span>  {</div>
<div class="line"><a name="l01946"></a><span class="lineno"> 1946</span>  <a class="code" href="classarmnn_1_1_optimizer.xhtml#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.xhtml#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.xhtml#aa76c76565125ad77092403176d74fd85">InsertDebugLayer</a>()));</div>
<div class="line"><a name="l01947"></a><span class="lineno"> 1947</span>  }</div>
<div class="line"><a name="l01948"></a><span class="lineno"> 1948</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a8933eb842c6152f61535b69bd37c867e">GetDebugToFileEnabled</a>())</div>
<div class="line"><a name="l01949"></a><span class="lineno"> 1949</span>  {</div>
<div class="line"><a name="l01950"></a><span class="lineno"> 1950</span>  <span class="comment">// Setup the output file path</span></div>
<div class="line"><a name="l01951"></a><span class="lineno"> 1951</span>  <span class="keywordflow">try</span></div>
<div class="line"><a name="l01952"></a><span class="lineno"> 1952</span>  {</div>
<div class="line"><a name="l01953"></a><span class="lineno"> 1953</span> <span class="preprocessor">#if !defined(ARMNN_DISABLE_FILESYSTEM)</span></div>
<div class="line"><a name="l01954"></a><span class="lineno"> 1954</span>  <span class="keyword">auto</span> result = <a class="code" href="namespacearmnn_utils_1_1_filesystem.xhtml#a0477efb2c6f5b41fbfe937fef6db312d">armnnUtils::Filesystem::CreateDirectory</a>(<span class="stringliteral">"/ArmNNIntermediateLayerOutputs"</span>);</div>
<div class="line"><a name="l01955"></a><span class="lineno"> 1955</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) << <span class="stringliteral">"Intermediate tensors will be written to: "</span> << result;</div>
<div class="line"><a name="l01956"></a><span class="lineno"> 1956</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l01957"></a><span class="lineno"> 1957</span>  <a class="code" href="classarmnn_1_1_optimizer.xhtml#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.xhtml#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.xhtml#a9c0a3a9a388a01bc21e20a16e70055f0">InsertDebugToFileLayer</a>()));</div>
<div class="line"><a name="l01958"></a><span class="lineno"> 1958</span>  }</div>
<div class="line"><a name="l01959"></a><span class="lineno"> 1959</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_runtime_exception.xhtml">armnn::RuntimeException</a>& e)</div>
<div class="line"><a name="l01960"></a><span class="lineno"> 1960</span>  {</div>
<div class="line"><a name="l01961"></a><span class="lineno"> 1961</span>  <span class="comment">// If we cannot create the output directory then we'll issue a warning and continue.</span></div>
<div class="line"><a name="l01962"></a><span class="lineno"> 1962</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd">warning</a>) << <span class="stringliteral">"Unable to print intermediate layer outputs : "</span> << e.<a class="code" href="classarmnn_1_1_exception.xhtml#abf843cbb29dec939d0731e491bab6f70">what</a>();</div>
<div class="line"><a name="l01963"></a><span class="lineno"> 1963</span>  }</div>
<div class="line"><a name="l01964"></a><span class="lineno"> 1964</span>  }</div>
<div class="line"><a name="l01965"></a><span class="lineno"> 1965</span>  </div>
<div class="line"><a name="l01966"></a><span class="lineno"> 1966</span>  <span class="comment">// Calculate the compatibility strategies for tensor handles</span></div>
<div class="line"><a name="l01967"></a><span class="lineno"> 1967</span>  <a class="code" href="structarmnn_1_1_optimization_result.xhtml">OptimizationResult</a> strategyResult = <a class="code" href="namespacearmnn.xhtml#acbf7c9a630f03ece800f807d946239ab">SelectTensorHandleStrategy</a>(optGraph,</div>
<div class="line"><a name="l01968"></a><span class="lineno"> 1968</span>  backends,</div>
<div class="line"><a name="l01969"></a><span class="lineno"> 1969</span>  tensorHandleFactoryRegistry,</div>
<div class="line"><a name="l01970"></a><span class="lineno"> 1970</span>  options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#a3cb5ef29e47f60acd88b16d6fee254f5">GetImportEnabled</a>(),</div>
<div class="line"><a name="l01971"></a><span class="lineno"> 1971</span>  options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml#af7a1f38591d1a19952ac13515becc894">GetExportEnabled</a>(),</div>
<div class="line"><a name="l01972"></a><span class="lineno"> 1972</span>  messages);</div>
<div class="line"><a name="l01973"></a><span class="lineno"> 1973</span>  </div>
<div class="line"><a name="l01974"></a><span class="lineno"> 1974</span>  <span class="keywordflow">if</span> (strategyResult.<a class="code" href="structarmnn_1_1_optimization_result.xhtml#a41a657cfacb52a80a73575c5c730ab88">m_Error</a>)</div>
<div class="line"><a name="l01975"></a><span class="lineno"> 1975</span>  {</div>
<div class="line"><a name="l01976"></a><span class="lineno"> 1976</span>  <span class="comment">// Failed to apply the backend-specific optimizations</span></div>
<div class="line"><a name="l01977"></a><span class="lineno"> 1977</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a674efcf6cbdb9e831d653ff0e821fb38">IOptimizedNetworkPtr</a>(<span class="keyword">nullptr</span>, &<a class="code" href="classarmnn_1_1_i_optimized_network.xhtml#a58ee539cf95c1e99fe4f54ef6e8bbd05">IOptimizedNetwork::Destroy</a>);</div>
<div class="line"><a name="l01978"></a><span class="lineno"> 1978</span>  }</div>
<div class="line"><a name="l01979"></a><span class="lineno"> 1979</span>  </div>
<div class="line"><a name="l01980"></a><span class="lineno"> 1980</span>  <span class="comment">// Based on the tensor handle strategy determined above, insert copy layers where required.</span></div>
<div class="line"><a name="l01981"></a><span class="lineno"> 1981</span>  {</div>
<div class="line"><a name="l01982"></a><span class="lineno"> 1982</span>  <a class="code" href="_profiling_8hpp.xhtml#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"Optimizer_AddCompatibilityLayers"</span>);</div>
<div class="line"><a name="l01983"></a><span class="lineno"> 1983</span>  optGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#ad1bbee7bf5f93b792675886f57d3ebe0">AddCompatibilityLayers</a>(backends, tensorHandleFactoryRegistry);</div>
<div class="line"><a name="l01984"></a><span class="lineno"> 1984</span>  }</div>
<div class="line"><a name="l01985"></a><span class="lineno"> 1985</span>  </div>
<div class="line"><a name="l01986"></a><span class="lineno"> 1986</span>  <span class="keywordflow">return</span> optNet;</div>
<div class="line"><a name="l01987"></a><span class="lineno"> 1987</span> }</div>
<div class="line"><a name="l01988"></a><span class="lineno"> 1988</span>  </div>
<div class="line"><a name="l01989"></a><span class="lineno"> 1989</span> <span class="comment">// Forwarding function to remain backward compatible with legacy OptimizerOptions</span></div>
<div class="line"><a name="l01990"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ab7116c24a003e722c09c86a2f5cf1a37"> 1990</a></span> <a class="code" href="namespacearmnn.xhtml#a674efcf6cbdb9e831d653ff0e821fb38">IOptimizedNetworkPtr</a> <a class="code" href="namespacearmnn.xhtml#aa42e128b41f4e966fc901f9bf42c5a1c">Optimize</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_network.xhtml">INetwork</a>& inNetwork,</div>
<div class="line"><a name="l01991"></a><span class="lineno"> 1991</span>  <span class="keyword">const</span> std::vector<BackendId>& backendPreferences,</div>
<div class="line"><a name="l01992"></a><span class="lineno"> 1992</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_device_spec.xhtml">IDeviceSpec</a>& deviceSpec,</div>
<div class="line"><a name="l01993"></a><span class="lineno"> 1993</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_optimizer_options.xhtml">OptimizerOptions</a>& options,</div>
<div class="line"><a name="l01994"></a><span class="lineno"> 1994</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional</a><std::vector<std::string>&> messages)</div>
<div class="line"><a name="l01995"></a><span class="lineno"> 1995</span> {</div>
<div class="line"><a name="l01996"></a><span class="lineno"> 1996</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#aa42e128b41f4e966fc901f9bf42c5a1c">Optimize</a>(inNetwork,</div>
<div class="line"><a name="l01997"></a><span class="lineno"> 1997</span>  backendPreferences,</div>
<div class="line"><a name="l01998"></a><span class="lineno"> 1998</span>  deviceSpec,</div>
<div class="line"><a name="l01999"></a><span class="lineno"> 1999</span>  <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml">OptimizerOptionsOpaque</a>(options),</div>
<div class="line"><a name="l02000"></a><span class="lineno"> 2000</span>  messages);</div>
<div class="line"><a name="l02001"></a><span class="lineno"> 2001</span> }</div>
<div class="line"><a name="l02002"></a><span class="lineno"> 2002</span>  </div>
<div class="line"><a name="l02003"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#aa42e128b41f4e966fc901f9bf42c5a1c"> 2003</a></span> <a class="code" href="namespacearmnn.xhtml#a674efcf6cbdb9e831d653ff0e821fb38">IOptimizedNetworkPtr</a> <a class="code" href="namespacearmnn.xhtml#aa42e128b41f4e966fc901f9bf42c5a1c">Optimize</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_network.xhtml">INetwork</a>& inNetwork,</div>
<div class="line"><a name="l02004"></a><span class="lineno"> 2004</span>  <span class="keyword">const</span> std::vector<BackendId>& backendPreferences,</div>
<div class="line"><a name="l02005"></a><span class="lineno"> 2005</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_device_spec.xhtml">IDeviceSpec</a>& deviceSpec,</div>
<div class="line"><a name="l02006"></a><span class="lineno"> 2006</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.xhtml">OptimizerOptionsOpaque</a>& options,</div>
<div class="line"><a name="l02007"></a><span class="lineno"> 2007</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional</a><std::vector<std::string>&> messages)</div>
<div class="line"><a name="l02008"></a><span class="lineno"> 2008</span> {</div>
<div class="line"><a name="l02009"></a><span class="lineno"> 2009</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#aa42e128b41f4e966fc901f9bf42c5a1c">Optimize</a>(inNetwork.<a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->GetGraph(),</div>
<div class="line"><a name="l02010"></a><span class="lineno"> 2010</span>  backendPreferences,</div>
<div class="line"><a name="l02011"></a><span class="lineno"> 2011</span>  deviceSpec,</div>
<div class="line"><a name="l02012"></a><span class="lineno"> 2012</span>  options,</div>
<div class="line"><a name="l02013"></a><span class="lineno"> 2013</span>  messages);</div>
<div class="line"><a name="l02014"></a><span class="lineno"> 2014</span> }</div>
<div class="line"><a name="l02015"></a><span class="lineno"> 2015</span>  </div>
<div class="line"><a name="l02016"></a><span class="lineno"> 2016</span> <span class="keywordtype">bool</span> NetworkImpl::GetShapeInferenceMethod()</div>
<div class="line"><a name="l02017"></a><span class="lineno"> 2017</span> {</div>
<div class="line"><a name="l02018"></a><span class="lineno"> 2018</span>  <span class="keywordtype">bool</span> shapeInferenceMethod = <span class="keyword">false</span>;</div>
<div class="line"><a name="l02019"></a><span class="lineno"> 2019</span>  </div>
<div class="line"><a name="l02020"></a><span class="lineno"> 2020</span>  <a class="code" href="namespacearmnn.xhtml#af457790132251cde6545072d879c7684">ParseOptions</a>(m_NetworkOptions, <span class="stringliteral">"ShapeInferenceMethod"</span>, [&](std::string name, <span class="keyword">const</span> BackendOptions::Var& value)</div>
<div class="line"><a name="l02021"></a><span class="lineno"> 2021</span>  {</div>
<div class="line"><a name="l02022"></a><span class="lineno"> 2022</span>  <span class="keywordflow">if</span> (name == <span class="stringliteral">"InferAndValidate"</span>)</div>
<div class="line"><a name="l02023"></a><span class="lineno"> 2023</span>  {</div>
<div class="line"><a name="l02024"></a><span class="lineno"> 2024</span>  shapeInferenceMethod |= value.AsBool();</div>
<div class="line"><a name="l02025"></a><span class="lineno"> 2025</span>  }</div>
<div class="line"><a name="l02026"></a><span class="lineno"> 2026</span>  });</div>
<div class="line"><a name="l02027"></a><span class="lineno"> 2027</span>  <span class="keywordflow">return</span> shapeInferenceMethod;</div>
<div class="line"><a name="l02028"></a><span class="lineno"> 2028</span> }</div>
<div class="line"><a name="l02029"></a><span class="lineno"> 2029</span>  </div>
<div class="line"><a name="l02030"></a><span class="lineno"> 2030</span> <span class="keywordtype">bool</span> NetworkImpl::GetAllowExpandedDims()</div>
<div class="line"><a name="l02031"></a><span class="lineno"> 2031</span> {</div>
<div class="line"><a name="l02032"></a><span class="lineno"> 2032</span>  <span class="keywordtype">bool</span> allowExpandedDims = <span class="keyword">false</span>;</div>
<div class="line"><a name="l02033"></a><span class="lineno"> 2033</span>  </div>
<div class="line"><a name="l02034"></a><span class="lineno"> 2034</span>  <a class="code" href="namespacearmnn.xhtml#af457790132251cde6545072d879c7684">ParseOptions</a>(m_NetworkOptions, <span class="stringliteral">"AllowExpandedDims"</span>, [&](std::string name, <span class="keyword">const</span> BackendOptions::Var& value)</div>
<div class="line"><a name="l02035"></a><span class="lineno"> 2035</span>  {</div>
<div class="line"><a name="l02036"></a><span class="lineno"> 2036</span>  <span class="keywordflow">if</span> (name == <span class="stringliteral">"AllowExpandedDims"</span>)</div>
<div class="line"><a name="l02037"></a><span class="lineno"> 2037</span>  {</div>
<div class="line"><a name="l02038"></a><span class="lineno"> 2038</span>  allowExpandedDims |= value.AsBool();</div>
<div class="line"><a name="l02039"></a><span class="lineno"> 2039</span>  }</div>
<div class="line"><a name="l02040"></a><span class="lineno"> 2040</span>  });</div>
<div class="line"><a name="l02041"></a><span class="lineno"> 2041</span>  <span class="keywordflow">return</span> allowExpandedDims;</div>
<div class="line"><a name="l02042"></a><span class="lineno"> 2042</span> }</div>
<div class="line"><a name="l02043"></a><span class="lineno"> 2043</span>  </div>
<div class="line"><a name="l02044"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a1ba03515c88a4c042bffa446d306caf0"> 2044</a></span> <a class="code" href="classarmnn_1_1_network_impl.xhtml#a1ba03515c88a4c042bffa446d306caf0">NetworkImpl::NetworkImpl</a>(<span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a4de71c3661093e5c4ae7775114f43413">NetworkOptions</a>& networkOptions)</div>
<div class="line"><a name="l02045"></a><span class="lineno"> 2045</span> : m_NetworkOptions(networkOptions),</div>
<div class="line"><a name="l02046"></a><span class="lineno"> 2046</span>  m_Graph(<a class="code" href="namespacestd.xhtml">std</a>::make_unique<<a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a>>(GetShapeInferenceMethod(), GetAllowExpandedDims()))</div>
<div class="line"><a name="l02047"></a><span class="lineno"> 2047</span> {}</div>
<div class="line"><a name="l02048"></a><span class="lineno"> 2048</span>  </div>
<div class="line"><a name="l02049"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#ad443897d51b291c83d81d809af07f4e0"> 2049</a></span> <a class="code" href="classarmnn_1_1_network_impl.xhtml#ad443897d51b291c83d81d809af07f4e0">NetworkImpl::~NetworkImpl</a>()</div>
<div class="line"><a name="l02050"></a><span class="lineno"> 2050</span> {</div>
<div class="line"><a name="l02051"></a><span class="lineno"> 2051</span> }</div>
<div class="line"><a name="l02052"></a><span class="lineno"> 2052</span>  </div>
<div class="line"><a name="l02053"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#aff3fde909d22ed157046682e70129259"> 2053</a></span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> <a class="code" href="classarmnn_1_1_network_impl.xhtml#aff3fde909d22ed157046682e70129259">NetworkImpl::PrintGraph</a>()</div>
<div class="line"><a name="l02054"></a><span class="lineno"> 2054</span> {</div>
<div class="line"><a name="l02055"></a><span class="lineno"> 2055</span>  m_Graph->Print();</div>
<div class="line"><a name="l02056"></a><span class="lineno"> 2056</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">Status::Success</a>;</div>
<div class="line"><a name="l02057"></a><span class="lineno"> 2057</span> }</div>
<div class="line"><a name="l02058"></a><span class="lineno"> 2058</span>  </div>
<div class="line"><a name="l02059"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#aa6c1c42ea44777302e87ce0fad5ac510"> 2059</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#aa6c1c42ea44777302e87ce0fad5ac510">NetworkImpl::AddInputLayer</a>(<a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> <span class="keywordtype">id</span>, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02060"></a><span class="lineno"> 2060</span> {</div>
<div class="line"><a name="l02061"></a><span class="lineno"> 2061</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_input_layer.xhtml">InputLayer</a>>(id, name);</div>
<div class="line"><a name="l02062"></a><span class="lineno"> 2062</span> }</div>
<div class="line"><a name="l02063"></a><span class="lineno"> 2063</span>  </div>
<div class="line"><a name="l02064"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a9a9bcc00ae3d96343c93b437d6f77088"> 2064</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a9a9bcc00ae3d96343c93b437d6f77088">NetworkImpl::AddBatchToSpaceNdLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml">BatchToSpaceNdDescriptor</a>& batchToSpaceNdDescriptor,</div>
<div class="line"><a name="l02065"></a><span class="lineno"> 2065</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02066"></a><span class="lineno"> 2066</span> {</div>
<div class="line"><a name="l02067"></a><span class="lineno"> 2067</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_batch_to_space_nd_layer.xhtml">BatchToSpaceNdLayer</a>>(batchToSpaceNdDescriptor, name);</div>
<div class="line"><a name="l02068"></a><span class="lineno"> 2068</span> }</div>
<div class="line"><a name="l02069"></a><span class="lineno"> 2069</span>  </div>
<div class="line"><a name="l02070"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a72f7f58c37d9d856fcb648b5fa68cf59"> 2070</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a72f7f58c37d9d856fcb648b5fa68cf59">NetworkImpl::AddCastLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02071"></a><span class="lineno"> 2071</span> {</div>
<div class="line"><a name="l02072"></a><span class="lineno"> 2072</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_cast_layer.xhtml">CastLayer</a>>(name);</div>
<div class="line"><a name="l02073"></a><span class="lineno"> 2073</span> }</div>
<div class="line"><a name="l02074"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a5c58d2b496d24e637f613af857aa3c3d"> 2074</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a5c58d2b496d24e637f613af857aa3c3d">NetworkImpl::AddChannelShuffleLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml">ChannelShuffleDescriptor</a>& channelShuffleDescriptor,</div>
<div class="line"><a name="l02075"></a><span class="lineno"> 2075</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02076"></a><span class="lineno"> 2076</span> {</div>
<div class="line"><a name="l02077"></a><span class="lineno"> 2077</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_channel_shuffle_layer.xhtml">ChannelShuffleLayer</a>>(channelShuffleDescriptor, name);</div>
<div class="line"><a name="l02078"></a><span class="lineno"> 2078</span> }</div>
<div class="line"><a name="l02079"></a><span class="lineno"> 2079</span>  </div>
<div class="line"><a name="l02080"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#ac7dca3e9f2ab2f2c64b42fc59a67188a"> 2080</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#ac7dca3e9f2ab2f2c64b42fc59a67188a">NetworkImpl::AddComparisonLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml">ComparisonDescriptor</a>& comparisonDescriptor,</div>
<div class="line"><a name="l02081"></a><span class="lineno"> 2081</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02082"></a><span class="lineno"> 2082</span> {</div>
<div class="line"><a name="l02083"></a><span class="lineno"> 2083</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_comparison_layer.xhtml">ComparisonLayer</a>>(comparisonDescriptor, name);</div>
<div class="line"><a name="l02084"></a><span class="lineno"> 2084</span> }</div>
<div class="line"><a name="l02085"></a><span class="lineno"> 2085</span>  </div>
<div class="line"><a name="l02086"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#aab976306ba3424cbc0c7ea33417d718d"> 2086</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#aab976306ba3424cbc0c7ea33417d718d">NetworkImpl::AddElementwiseBinaryLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_binary_descriptor.xhtml">ElementwiseBinaryDescriptor</a>& elementwiseBinaryDesc,</div>
<div class="line"><a name="l02087"></a><span class="lineno"> 2087</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02088"></a><span class="lineno"> 2088</span> {</div>
<div class="line"><a name="l02089"></a><span class="lineno"> 2089</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_elementwise_binary_layer.xhtml">ElementwiseBinaryLayer</a>>(elementwiseBinaryDesc, name);</div>
<div class="line"><a name="l02090"></a><span class="lineno"> 2090</span> }</div>
<div class="line"><a name="l02091"></a><span class="lineno"> 2091</span>  </div>
<div class="line"><a name="l02092"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a095a9b700dc857edc23c5d3bf088919f"> 2092</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a095a9b700dc857edc23c5d3bf088919f">NetworkImpl::AddElementwiseUnaryLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">ElementwiseUnaryDescriptor</a>& elementwiseUnaryDescriptor,</div>
<div class="line"><a name="l02093"></a><span class="lineno"> 2093</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02094"></a><span class="lineno"> 2094</span> {</div>
<div class="line"><a name="l02095"></a><span class="lineno"> 2095</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_elementwise_unary_layer.xhtml">ElementwiseUnaryLayer</a>>(elementwiseUnaryDescriptor, name);</div>
<div class="line"><a name="l02096"></a><span class="lineno"> 2096</span> }</div>
<div class="line"><a name="l02097"></a><span class="lineno"> 2097</span>  </div>
<div class="line"><a name="l02098"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#afc94c35c0bbe852a60046bf2e756b2e0"> 2098</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#afc94c35c0bbe852a60046bf2e756b2e0">NetworkImpl::AddFillLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fill_descriptor.xhtml">FillDescriptor</a>& fillDescriptor,</div>
<div class="line"><a name="l02099"></a><span class="lineno"> 2099</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02100"></a><span class="lineno"> 2100</span> {</div>
<div class="line"><a name="l02101"></a><span class="lineno"> 2101</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_fill_layer.xhtml">FillLayer</a>>(fillDescriptor, name);</div>
<div class="line"><a name="l02102"></a><span class="lineno"> 2102</span> }</div>
<div class="line"><a name="l02103"></a><span class="lineno"> 2103</span>  </div>
<div class="line"><a name="l02104"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a471991a84030eb3ae601da2bee757870"> 2104</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a471991a84030eb3ae601da2bee757870">NetworkImpl::AddFullyConnectedLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml">FullyConnectedDescriptor</a>& fullyConnectedDescriptor,</div>
<div class="line"><a name="l02105"></a><span class="lineno"> 2105</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02106"></a><span class="lineno"> 2106</span> {</div>
<div class="line"><a name="l02107"></a><span class="lineno"> 2107</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_fully_connected_layer.xhtml">FullyConnectedLayer</a>>(fullyConnectedDescriptor, name);</div>
<div class="line"><a name="l02108"></a><span class="lineno"> 2108</span> }</div>
<div class="line"><a name="l02109"></a><span class="lineno"> 2109</span>  </div>
<div class="line"><a name="l02110"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#aea1059833739d3dccebb3a03ec35a1e6"> 2110</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#aea1059833739d3dccebb3a03ec35a1e6">NetworkImpl::AddConcatLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">ConcatDescriptor</a>& concatDescriptor,</div>
<div class="line"><a name="l02111"></a><span class="lineno"> 2111</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02112"></a><span class="lineno"> 2112</span> {</div>
<div class="line"><a name="l02113"></a><span class="lineno"> 2113</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_concat_layer.xhtml">ConcatLayer</a>>(concatDescriptor, name);</div>
<div class="line"><a name="l02114"></a><span class="lineno"> 2114</span> }</div>
<div class="line"><a name="l02115"></a><span class="lineno"> 2115</span>  </div>
<div class="line"><a name="l02116"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a383e74ef080d4a81b8b371be4b840248"> 2116</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a383e74ef080d4a81b8b371be4b840248">NetworkImpl::AddConvolution2dLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml">Convolution2dDescriptor</a>& convolution2dDescriptor,</div>
<div class="line"><a name="l02117"></a><span class="lineno"> 2117</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02118"></a><span class="lineno"> 2118</span> {</div>
<div class="line"><a name="l02119"></a><span class="lineno"> 2119</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_convolution2d_layer.xhtml">Convolution2dLayer</a>>(convolution2dDescriptor, name);</div>
<div class="line"><a name="l02120"></a><span class="lineno"> 2120</span> }</div>
<div class="line"><a name="l02121"></a><span class="lineno"> 2121</span>  </div>
<div class="line"><a name="l02122"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a2090bf6670b73c69309ed592068aa3af"> 2122</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a2090bf6670b73c69309ed592068aa3af">NetworkImpl::AddConvertFp16ToFp32Layer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02123"></a><span class="lineno"> 2123</span> {</div>
<div class="line"><a name="l02124"></a><span class="lineno"> 2124</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_convert_fp16_to_fp32_layer.xhtml">ConvertFp16ToFp32Layer</a>>(name);</div>
<div class="line"><a name="l02125"></a><span class="lineno"> 2125</span> }</div>
<div class="line"><a name="l02126"></a><span class="lineno"> 2126</span>  </div>
<div class="line"><a name="l02127"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#ab71c4df72f6587aea671acaacd6a0d9a"> 2127</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#ab71c4df72f6587aea671acaacd6a0d9a">NetworkImpl::AddConvertFp32ToFp16Layer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02128"></a><span class="lineno"> 2128</span> {</div>
<div class="line"><a name="l02129"></a><span class="lineno"> 2129</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_convert_fp32_to_fp16_layer.xhtml">ConvertFp32ToFp16Layer</a>>(name);</div>
<div class="line"><a name="l02130"></a><span class="lineno"> 2130</span> }</div>
<div class="line"><a name="l02131"></a><span class="lineno"> 2131</span>  </div>
<div class="line"><a name="l02132"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a43de8213707de0e76d80a32cd4b9b482"> 2132</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a43de8213707de0e76d80a32cd4b9b482">NetworkImpl::AddConvolution3dLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml">Convolution3dDescriptor</a>& convolution3dDescriptor,</div>
<div class="line"><a name="l02133"></a><span class="lineno"> 2133</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02134"></a><span class="lineno"> 2134</span> {</div>
<div class="line"><a name="l02135"></a><span class="lineno"> 2135</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_convolution3d_layer.xhtml">Convolution3dLayer</a>>(convolution3dDescriptor, name);</div>
<div class="line"><a name="l02136"></a><span class="lineno"> 2136</span> }</div>
<div class="line"><a name="l02137"></a><span class="lineno"> 2137</span>  </div>
<div class="line"><a name="l02138"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#af1853466264ac187607c96b501a74e2b"> 2138</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#af1853466264ac187607c96b501a74e2b">NetworkImpl::AddDepthToSpaceLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">DepthToSpaceDescriptor</a>& depthToSpaceDescriptor,</div>
<div class="line"><a name="l02139"></a><span class="lineno"> 2139</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02140"></a><span class="lineno"> 2140</span> {</div>
<div class="line"><a name="l02141"></a><span class="lineno"> 2141</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_depth_to_space_layer.xhtml">DepthToSpaceLayer</a>>(depthToSpaceDescriptor, name);</div>
<div class="line"><a name="l02142"></a><span class="lineno"> 2142</span> }</div>
<div class="line"><a name="l02143"></a><span class="lineno"> 2143</span>  </div>
<div class="line"><a name="l02144"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#ac6771c8752811fcfa91b3f0dee748144"> 2144</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#ac6771c8752811fcfa91b3f0dee748144">NetworkImpl::AddDepthwiseConvolution2dLayer</a>(</div>
<div class="line"><a name="l02145"></a><span class="lineno"> 2145</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">DepthwiseConvolution2dDescriptor</a>& convolution2dDescriptor,</div>
<div class="line"><a name="l02146"></a><span class="lineno"> 2146</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02147"></a><span class="lineno"> 2147</span> {</div>
<div class="line"><a name="l02148"></a><span class="lineno"> 2148</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml">DepthwiseConvolution2dLayer</a>>(convolution2dDescriptor, name);</div>
<div class="line"><a name="l02149"></a><span class="lineno"> 2149</span> }</div>
<div class="line"><a name="l02150"></a><span class="lineno"> 2150</span>  </div>
<div class="line"><a name="l02151"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#ac1134a94265293ea7347180260f787d2"> 2151</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#ac1134a94265293ea7347180260f787d2">NetworkImpl::AddDetectionPostProcessLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml">armnn::DetectionPostProcessDescriptor</a>& descriptor,</div>
<div class="line"><a name="l02152"></a><span class="lineno"> 2152</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>& anchors, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02153"></a><span class="lineno"> 2153</span> {</div>
<div class="line"><a name="l02154"></a><span class="lineno"> 2154</span>  <span class="keyword">const</span> <span class="keyword">auto</span> layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml">DetectionPostProcessLayer</a>>(descriptor, name);</div>
<div class="line"><a name="l02155"></a><span class="lineno"> 2155</span>  </div>
<div class="line"><a name="l02156"></a><span class="lineno"> 2156</span>  layer-><a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml#a6dc8f4e1c0a2109b2a8412251c2cf7b0">m_Anchors</a> = std::make_shared<ScopedTensorHandle>(anchors);</div>
<div class="line"><a name="l02157"></a><span class="lineno"> 2157</span>  </div>
<div class="line"><a name="l02158"></a><span class="lineno"> 2158</span>  <span class="keywordflow">return</span> layer;</div>
<div class="line"><a name="l02159"></a><span class="lineno"> 2159</span> }</div>
<div class="line"><a name="l02160"></a><span class="lineno"> 2160</span>  </div>
<div class="line"><a name="l02161"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a11f49d84f0cfd8df65f4d5206cd43b6d"> 2161</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a11f49d84f0cfd8df65f4d5206cd43b6d">NetworkImpl::AddPermuteLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_permute_descriptor.xhtml">PermuteDescriptor</a>& permuteDescriptor,</div>
<div class="line"><a name="l02162"></a><span class="lineno"> 2162</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02163"></a><span class="lineno"> 2163</span> {</div>
<div class="line"><a name="l02164"></a><span class="lineno"> 2164</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_permute_layer.xhtml">PermuteLayer</a>>(permuteDescriptor, name);</div>
<div class="line"><a name="l02165"></a><span class="lineno"> 2165</span> }</div>
<div class="line"><a name="l02166"></a><span class="lineno"> 2166</span>  </div>
<div class="line"><a name="l02167"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#ae913b4351b7027f37eb5657dd7867733"> 2167</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#ae913b4351b7027f37eb5657dd7867733">NetworkImpl::AddPooling2dLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml">Pooling2dDescriptor</a>& pooling2dDescriptor,</div>
<div class="line"><a name="l02168"></a><span class="lineno"> 2168</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02169"></a><span class="lineno"> 2169</span> {</div>
<div class="line"><a name="l02170"></a><span class="lineno"> 2170</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_pooling2d_layer.xhtml">Pooling2dLayer</a>>(pooling2dDescriptor, name);</div>
<div class="line"><a name="l02171"></a><span class="lineno"> 2171</span> }</div>
<div class="line"><a name="l02172"></a><span class="lineno"> 2172</span>  </div>
<div class="line"><a name="l02173"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#aee282f8e3379d3f5bed1032d20884248"> 2173</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#aee282f8e3379d3f5bed1032d20884248">NetworkImpl::AddPooling3dLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml">Pooling3dDescriptor</a>& pooling3dDescriptor,</div>
<div class="line"><a name="l02174"></a><span class="lineno"> 2174</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02175"></a><span class="lineno"> 2175</span> {</div>
<div class="line"><a name="l02176"></a><span class="lineno"> 2176</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_pooling3d_layer.xhtml">Pooling3dLayer</a>>(pooling3dDescriptor, name);</div>
<div class="line"><a name="l02177"></a><span class="lineno"> 2177</span> }</div>
<div class="line"><a name="l02178"></a><span class="lineno"> 2178</span>  </div>
<div class="line"><a name="l02179"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#aa51350bdd4976f3dd5a4e9d00a906b2c"> 2179</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#aa51350bdd4976f3dd5a4e9d00a906b2c">NetworkImpl::AddActivationLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a>& activationDescriptor,</div>
<div class="line"><a name="l02180"></a><span class="lineno"> 2180</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02181"></a><span class="lineno"> 2181</span> {</div>
<div class="line"><a name="l02182"></a><span class="lineno"> 2182</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_activation_layer.xhtml">ActivationLayer</a>>(activationDescriptor, name);</div>
<div class="line"><a name="l02183"></a><span class="lineno"> 2183</span> }</div>
<div class="line"><a name="l02184"></a><span class="lineno"> 2184</span>  </div>
<div class="line"><a name="l02185"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#adc8c1c505bca8233fe238b3b7fb80200"> 2185</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#adc8c1c505bca8233fe238b3b7fb80200">NetworkImpl::AddArgMinMaxLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml">ArgMinMaxDescriptor</a>& argMinMaxDescriptor,</div>
<div class="line"><a name="l02186"></a><span class="lineno"> 2186</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02187"></a><span class="lineno"> 2187</span> {</div>
<div class="line"><a name="l02188"></a><span class="lineno"> 2188</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_arg_min_max_layer.xhtml">ArgMinMaxLayer</a>>(argMinMaxDescriptor, name);</div>
<div class="line"><a name="l02189"></a><span class="lineno"> 2189</span> }</div>
<div class="line"><a name="l02190"></a><span class="lineno"> 2190</span>  </div>
<div class="line"><a name="l02191"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a6c5376053e1f875776d7bc36fd0b7d45"> 2191</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a6c5376053e1f875776d7bc36fd0b7d45">NetworkImpl::AddNormalizationLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml">NormalizationDescriptor</a>&</div>
<div class="line"><a name="l02192"></a><span class="lineno"> 2192</span> normalizationDescriptor,</div>
<div class="line"><a name="l02193"></a><span class="lineno"> 2193</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02194"></a><span class="lineno"> 2194</span> {</div>
<div class="line"><a name="l02195"></a><span class="lineno"> 2195</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_normalization_layer.xhtml">NormalizationLayer</a>>(normalizationDescriptor, name);</div>
<div class="line"><a name="l02196"></a><span class="lineno"> 2196</span> }</div>
<div class="line"><a name="l02197"></a><span class="lineno"> 2197</span>  </div>
<div class="line"><a name="l02198"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a8de6b047fcaff95df48dca683e1f3aa4"> 2198</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a8de6b047fcaff95df48dca683e1f3aa4">NetworkImpl::AddSliceLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_slice_descriptor.xhtml">SliceDescriptor</a>& sliceDescriptor, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02199"></a><span class="lineno"> 2199</span> {</div>
<div class="line"><a name="l02200"></a><span class="lineno"> 2200</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_slice_layer.xhtml">SliceLayer</a>>(sliceDescriptor, name);</div>
<div class="line"><a name="l02201"></a><span class="lineno"> 2201</span> }</div>
<div class="line"><a name="l02202"></a><span class="lineno"> 2202</span>  </div>
<div class="line"><a name="l02203"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a30528a3bd85a0dba158bd14e252bd68a"> 2203</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a30528a3bd85a0dba158bd14e252bd68a">NetworkImpl::AddSoftmaxLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">SoftmaxDescriptor</a>& softmaxDescriptor,</div>
<div class="line"><a name="l02204"></a><span class="lineno"> 2204</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02205"></a><span class="lineno"> 2205</span> {</div>
<div class="line"><a name="l02206"></a><span class="lineno"> 2206</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_softmax_layer.xhtml">SoftmaxLayer</a>>(softmaxDescriptor, name);</div>
<div class="line"><a name="l02207"></a><span class="lineno"> 2207</span> }</div>
<div class="line"><a name="l02208"></a><span class="lineno"> 2208</span>  </div>
<div class="line"><a name="l02209"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a6f6d81d8a4f1f85f3616e8306760061c"> 2209</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a6f6d81d8a4f1f85f3616e8306760061c">NetworkImpl::AddSplitterLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>& splitterDescriptor,</div>
<div class="line"><a name="l02210"></a><span class="lineno"> 2210</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02211"></a><span class="lineno"> 2211</span> {</div>
<div class="line"><a name="l02212"></a><span class="lineno"> 2212</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_splitter_layer.xhtml">SplitterLayer</a>>(splitterDescriptor, name);</div>
<div class="line"><a name="l02213"></a><span class="lineno"> 2213</span> }</div>
<div class="line"><a name="l02214"></a><span class="lineno"> 2214</span>  </div>
<div class="line"><a name="l02215"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a57590d7777211673d2052f702f0b07a1"> 2215</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a57590d7777211673d2052f702f0b07a1">NetworkImpl::AddMaximumLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02216"></a><span class="lineno"> 2216</span> {</div>
<div class="line"><a name="l02217"></a><span class="lineno"> 2217</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_maximum_layer.xhtml">MaximumLayer</a>>(name);</div>
<div class="line"><a name="l02218"></a><span class="lineno"> 2218</span> }</div>
<div class="line"><a name="l02219"></a><span class="lineno"> 2219</span>  </div>
<div class="line"><a name="l02220"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a4bfd8dee1a0315b651e977c672c0847c"> 2220</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a4bfd8dee1a0315b651e977c672c0847c">NetworkImpl::AddMinimumLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02221"></a><span class="lineno"> 2221</span> {</div>
<div class="line"><a name="l02222"></a><span class="lineno"> 2222</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_minimum_layer.xhtml">MinimumLayer</a>>(name);</div>
<div class="line"><a name="l02223"></a><span class="lineno"> 2223</span> }</div>
<div class="line"><a name="l02224"></a><span class="lineno"> 2224</span>  </div>
<div class="line"><a name="l02225"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a39f1b38d89c4de186742eafcbb3b1319"> 2225</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a39f1b38d89c4de186742eafcbb3b1319">NetworkImpl::AddAdditionLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02226"></a><span class="lineno"> 2226</span> {</div>
<div class="line"><a name="l02227"></a><span class="lineno"> 2227</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_addition_layer.xhtml">AdditionLayer</a>>(name);</div>
<div class="line"><a name="l02228"></a><span class="lineno"> 2228</span> }</div>
<div class="line"><a name="l02229"></a><span class="lineno"> 2229</span>  </div>
<div class="line"><a name="l02230"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#abb59f6ba9988dae88e0f48e68d87fc32"> 2230</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#abb59f6ba9988dae88e0f48e68d87fc32">NetworkImpl::AddMultiplicationLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02231"></a><span class="lineno"> 2231</span> {</div>
<div class="line"><a name="l02232"></a><span class="lineno"> 2232</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_multiplication_layer.xhtml">MultiplicationLayer</a>>(name);</div>
<div class="line"><a name="l02233"></a><span class="lineno"> 2233</span> }</div>
<div class="line"><a name="l02234"></a><span class="lineno"> 2234</span>  </div>
<div class="line"><a name="l02235"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#af5790069aa11fd1c5bb2e17cecb06528"> 2235</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#af5790069aa11fd1c5bb2e17cecb06528">NetworkImpl::AddOutputLayer</a>(<a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> <span class="keywordtype">id</span>, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02236"></a><span class="lineno"> 2236</span> {</div>
<div class="line"><a name="l02237"></a><span class="lineno"> 2237</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_output_layer.xhtml">OutputLayer</a>>(id, name);</div>
<div class="line"><a name="l02238"></a><span class="lineno"> 2238</span> }</div>
<div class="line"><a name="l02239"></a><span class="lineno"> 2239</span>  </div>
<div class="line"><a name="l02240"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a8f798e19187ac7ae6ae6153ee64ab645"> 2240</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a8f798e19187ac7ae6ae6153ee64ab645">NetworkImpl::AddBatchNormalizationLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml">BatchNormalizationDescriptor</a>& desc,</div>
<div class="line"><a name="l02241"></a><span class="lineno"> 2241</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>& mean,</div>
<div class="line"><a name="l02242"></a><span class="lineno"> 2242</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>& variance,</div>
<div class="line"><a name="l02243"></a><span class="lineno"> 2243</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>& beta,</div>
<div class="line"><a name="l02244"></a><span class="lineno"> 2244</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>& gamma,</div>
<div class="line"><a name="l02245"></a><span class="lineno"> 2245</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02246"></a><span class="lineno"> 2246</span> {</div>
<div class="line"><a name="l02247"></a><span class="lineno"> 2247</span>  <span class="keyword">const</span> <span class="keyword">auto</span> layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_batch_normalization_layer.xhtml">BatchNormalizationLayer</a>>(desc, name);</div>
<div class="line"><a name="l02248"></a><span class="lineno"> 2248</span>  </div>
<div class="line"><a name="l02249"></a><span class="lineno"> 2249</span>  layer-><a class="code" href="classarmnn_1_1_batch_normalization_layer.xhtml#a2dfc280952c7939299c304fcbf855b97">m_Mean</a> = std::make_shared<ScopedTensorHandle>(mean);</div>
<div class="line"><a name="l02250"></a><span class="lineno"> 2250</span>  layer->m_Variance = std::make_shared<ScopedTensorHandle>(variance);</div>
<div class="line"><a name="l02251"></a><span class="lineno"> 2251</span>  layer->m_Beta = std::make_shared<ScopedTensorHandle>(beta);</div>
<div class="line"><a name="l02252"></a><span class="lineno"> 2252</span>  layer->m_Gamma = std::make_shared<ScopedTensorHandle>(gamma);</div>
<div class="line"><a name="l02253"></a><span class="lineno"> 2253</span>  </div>
<div class="line"><a name="l02254"></a><span class="lineno"> 2254</span>  <span class="keywordflow">return</span> layer;</div>
<div class="line"><a name="l02255"></a><span class="lineno"> 2255</span> }</div>
<div class="line"><a name="l02256"></a><span class="lineno"> 2256</span>  </div>
<div class="line"><a name="l02257"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a25563024ec66627ee83727244a53e944"> 2257</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a25563024ec66627ee83727244a53e944">NetworkImpl::AddRankLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02258"></a><span class="lineno"> 2258</span> {</div>
<div class="line"><a name="l02259"></a><span class="lineno"> 2259</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_rank_layer.xhtml">RankLayer</a>>(name);</div>
<div class="line"><a name="l02260"></a><span class="lineno"> 2260</span> }</div>
<div class="line"><a name="l02261"></a><span class="lineno"> 2261</span>  </div>
<div class="line"><a name="l02262"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#ae0cfae1ea51669892608a1a060d24fa0"> 2262</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#ae0cfae1ea51669892608a1a060d24fa0">NetworkImpl::AddReduceLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reduce_descriptor.xhtml">ReduceDescriptor</a>& reduceDescriptor,</div>
<div class="line"><a name="l02263"></a><span class="lineno"> 2263</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02264"></a><span class="lineno"> 2264</span> {</div>
<div class="line"><a name="l02265"></a><span class="lineno"> 2265</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_reduce_layer.xhtml">ReduceLayer</a>>(reduceDescriptor, name);</div>
<div class="line"><a name="l02266"></a><span class="lineno"> 2266</span> }</div>
<div class="line"><a name="l02267"></a><span class="lineno"> 2267</span>  </div>
<div class="line"><a name="l02268"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#ad97411f1fcb2c30c212483d8c673506f"> 2268</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#ad97411f1fcb2c30c212483d8c673506f">NetworkImpl::AddResizeLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml">ResizeDescriptor</a>& resizeDescriptor, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02269"></a><span class="lineno"> 2269</span> {</div>
<div class="line"><a name="l02270"></a><span class="lineno"> 2270</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_resize_layer.xhtml">ResizeLayer</a>>(resizeDescriptor, name);</div>
<div class="line"><a name="l02271"></a><span class="lineno"> 2271</span> }</div>
<div class="line"><a name="l02272"></a><span class="lineno"> 2272</span>  </div>
<div class="line"><a name="l02273"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#af9dd4b5273829b846ab83b3ae7f3defc"> 2273</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#af9dd4b5273829b846ab83b3ae7f3defc">NetworkImpl::AddShapeLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02274"></a><span class="lineno"> 2274</span> {</div>
<div class="line"><a name="l02275"></a><span class="lineno"> 2275</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_shape_layer.xhtml">ShapeLayer</a>>(name);</div>
<div class="line"><a name="l02276"></a><span class="lineno"> 2276</span> }</div>
<div class="line"><a name="l02277"></a><span class="lineno"> 2277</span>  </div>
<div class="line"><a name="l02278"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#abd61d3e7ab67551c75bc219bbc4baeb5"> 2278</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#abd61d3e7ab67551c75bc219bbc4baeb5">NetworkImpl::AddInstanceNormalizationLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml">InstanceNormalizationDescriptor</a>& desc,</div>
<div class="line"><a name="l02279"></a><span class="lineno"> 2279</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02280"></a><span class="lineno"> 2280</span> {</div>
<div class="line"><a name="l02281"></a><span class="lineno"> 2281</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_instance_normalization_layer.xhtml">InstanceNormalizationLayer</a>>(desc, name);</div>
<div class="line"><a name="l02282"></a><span class="lineno"> 2282</span> }</div>
<div class="line"><a name="l02283"></a><span class="lineno"> 2283</span>  </div>
<div class="line"><a name="l02284"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#aaff51346dadec2c1430abf007fed4cc9"> 2284</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#aaff51346dadec2c1430abf007fed4cc9">NetworkImpl::AddL2NormalizationLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_l2_normalization_descriptor.xhtml">L2NormalizationDescriptor</a>& desc,</div>
<div class="line"><a name="l02285"></a><span class="lineno"> 2285</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02286"></a><span class="lineno"> 2286</span> {</div>
<div class="line"><a name="l02287"></a><span class="lineno"> 2287</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_l2_normalization_layer.xhtml">L2NormalizationLayer</a>>(desc, name);</div>
<div class="line"><a name="l02288"></a><span class="lineno"> 2288</span> }</div>
<div class="line"><a name="l02289"></a><span class="lineno"> 2289</span>  </div>
<div class="line"><a name="l02290"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a83b33973ca12078166b2436b313627b9"> 2290</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a83b33973ca12078166b2436b313627b9">NetworkImpl::AddLogSoftmaxLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">LogSoftmaxDescriptor</a>& desc,</div>
<div class="line"><a name="l02291"></a><span class="lineno"> 2291</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02292"></a><span class="lineno"> 2292</span> {</div>
<div class="line"><a name="l02293"></a><span class="lineno"> 2293</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_log_softmax_layer.xhtml">LogSoftmaxLayer</a>>(desc, name);</div>
<div class="line"><a name="l02294"></a><span class="lineno"> 2294</span> }</div>
<div class="line"><a name="l02295"></a><span class="lineno"> 2295</span>  </div>
<div class="line"><a name="l02296"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a1aa567f46c30960851c02847dc7b4215"> 2296</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a1aa567f46c30960851c02847dc7b4215">NetworkImpl::AddConstantLayer</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>& input, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02297"></a><span class="lineno"> 2297</span> {</div>
<div class="line"><a name="l02298"></a><span class="lineno"> 2298</span>  <span class="keyword">auto</span> layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_constant_layer.xhtml">ConstantLayer</a>>(name);</div>
<div class="line"><a name="l02299"></a><span class="lineno"> 2299</span>  </div>
<div class="line"><a name="l02300"></a><span class="lineno"> 2300</span>  layer-><a class="code" href="classarmnn_1_1_constant_layer.xhtml#ad0c4b8ee0efd8f9336571cbeab8a53fe">m_LayerOutput</a> = std::make_shared<ScopedTensorHandle>(input);</div>
<div class="line"><a name="l02301"></a><span class="lineno"> 2301</span>  </div>
<div class="line"><a name="l02302"></a><span class="lineno"> 2302</span>  <span class="keywordflow">return</span> layer;</div>
<div class="line"><a name="l02303"></a><span class="lineno"> 2303</span> }</div>
<div class="line"><a name="l02304"></a><span class="lineno"> 2304</span>  </div>
<div class="line"><a name="l02305"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a8a3380be13fba749fc4208214b049347"> 2305</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a8a3380be13fba749fc4208214b049347">NetworkImpl::AddReshapeLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reshape_descriptor.xhtml">ReshapeDescriptor</a>& reshapeDescriptor,</div>
<div class="line"><a name="l02306"></a><span class="lineno"> 2306</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02307"></a><span class="lineno"> 2307</span> {</div>
<div class="line"><a name="l02308"></a><span class="lineno"> 2308</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_reshape_layer.xhtml">ReshapeLayer</a>>(reshapeDescriptor, name);</div>
<div class="line"><a name="l02309"></a><span class="lineno"> 2309</span> }</div>
<div class="line"><a name="l02310"></a><span class="lineno"> 2310</span>  </div>
<div class="line"><a name="l02311"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a72b9d30e9d555bb5c35460b62faedf0d"> 2311</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a72b9d30e9d555bb5c35460b62faedf0d">NetworkImpl::AddSpaceToBatchNdLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml">SpaceToBatchNdDescriptor</a>& spaceToBatchNdDescriptor,</div>
<div class="line"><a name="l02312"></a><span class="lineno"> 2312</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02313"></a><span class="lineno"> 2313</span> {</div>
<div class="line"><a name="l02314"></a><span class="lineno"> 2314</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_space_to_batch_nd_layer.xhtml">SpaceToBatchNdLayer</a>>(spaceToBatchNdDescriptor, name);</div>
<div class="line"><a name="l02315"></a><span class="lineno"> 2315</span> }</div>
<div class="line"><a name="l02316"></a><span class="lineno"> 2316</span>  </div>
<div class="line"><a name="l02317"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a19bad0cc50526ca9f4f84a688812cdf5"> 2317</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a19bad0cc50526ca9f4f84a688812cdf5">NetworkImpl::AddSpaceToDepthLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">SpaceToDepthDescriptor</a>& spaceToDepthDescriptor,</div>
<div class="line"><a name="l02318"></a><span class="lineno"> 2318</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02319"></a><span class="lineno"> 2319</span> {</div>
<div class="line"><a name="l02320"></a><span class="lineno"> 2320</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_space_to_depth_layer.xhtml">SpaceToDepthLayer</a>>(spaceToDepthDescriptor, name);</div>
<div class="line"><a name="l02321"></a><span class="lineno"> 2321</span> }</div>
<div class="line"><a name="l02322"></a><span class="lineno"> 2322</span>  </div>
<div class="line"><a name="l02323"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a435ea88480b8645026dd45fd692663a1"> 2323</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a435ea88480b8645026dd45fd692663a1">NetworkImpl::AddFloorLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02324"></a><span class="lineno"> 2324</span> {</div>
<div class="line"><a name="l02325"></a><span class="lineno"> 2325</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_floor_layer.xhtml">FloorLayer</a>>(name);</div>
<div class="line"><a name="l02326"></a><span class="lineno"> 2326</span> }</div>
<div class="line"><a name="l02327"></a><span class="lineno"> 2327</span>  </div>
<div class="line"><a name="l02328"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a0a2fdd4f442952c97a8f24de6700473a"> 2328</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a0a2fdd4f442952c97a8f24de6700473a">NetworkImpl::AddLstmLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml">LstmDescriptor</a>& descriptor,</div>
<div class="line"><a name="l02329"></a><span class="lineno"> 2329</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params.xhtml">LstmInputParams</a>& params,</div>
<div class="line"><a name="l02330"></a><span class="lineno"> 2330</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02331"></a><span class="lineno"> 2331</span> {</div>
<div class="line"><a name="l02332"></a><span class="lineno"> 2332</span>  <span class="keyword">const</span> <span class="keyword">auto</span> layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_lstm_layer.xhtml">LstmLayer</a>>(descriptor, name);</div>
<div class="line"><a name="l02333"></a><span class="lineno"> 2333</span>  </div>
<div class="line"><a name="l02334"></a><span class="lineno"> 2334</span>  <span class="comment">//Lstm Basic Parameters</span></div>
<div class="line"><a name="l02335"></a><span class="lineno"> 2335</span>  layer-><a class="code" href="classarmnn_1_1_lstm_layer.xhtml#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.xhtml#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> =</div>
<div class="line"><a name="l02336"></a><span class="lineno"> 2336</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a31da1ead6794dd64571afdd0b6efc771">m_InputToForgetWeights</a>));</div>
<div class="line"><a name="l02337"></a><span class="lineno"> 2337</span>  layer->m_BasicParameters.m_InputToCellWeights =</div>
<div class="line"><a name="l02338"></a><span class="lineno"> 2338</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a49e11acda22742cbaf6f1b259ead0d84">m_InputToCellWeights</a>));</div>
<div class="line"><a name="l02339"></a><span class="lineno"> 2339</span>  layer->m_BasicParameters.m_InputToOutputWeights =</div>
<div class="line"><a name="l02340"></a><span class="lineno"> 2340</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a6e30c7b3451da3ea9cf4259fb602e6e6">m_InputToOutputWeights</a>));</div>
<div class="line"><a name="l02341"></a><span class="lineno"> 2341</span>  layer->m_BasicParameters.m_RecurrentToForgetWeights =</div>
<div class="line"><a name="l02342"></a><span class="lineno"> 2342</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#ae83131e16df1cace69395a5f99bc5ecb">m_RecurrentToForgetWeights</a>));</div>
<div class="line"><a name="l02343"></a><span class="lineno"> 2343</span>  layer->m_BasicParameters.m_RecurrentToCellWeights =</div>
<div class="line"><a name="l02344"></a><span class="lineno"> 2344</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a1759754ccb88ecc9af44f3aae6e244ee">m_RecurrentToCellWeights</a>));</div>
<div class="line"><a name="l02345"></a><span class="lineno"> 2345</span>  layer->m_BasicParameters.m_RecurrentToOutputWeights =</div>
<div class="line"><a name="l02346"></a><span class="lineno"> 2346</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a56b81ca8ba4b4937e0787e4951f043fc">m_RecurrentToOutputWeights</a>));</div>
<div class="line"><a name="l02347"></a><span class="lineno"> 2347</span>  layer->m_BasicParameters.m_ForgetGateBias =</div>
<div class="line"><a name="l02348"></a><span class="lineno"> 2348</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#ace7a1f1f1041b412b7d8ef82b95ff352">m_ForgetGateBias</a>));</div>
<div class="line"><a name="l02349"></a><span class="lineno"> 2349</span>  layer->m_BasicParameters.m_CellBias =</div>
<div class="line"><a name="l02350"></a><span class="lineno"> 2350</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a4a9d678146f572808a361dbdc5489f38">m_CellBias</a>));</div>
<div class="line"><a name="l02351"></a><span class="lineno"> 2351</span>  layer->m_BasicParameters.m_OutputGateBias =</div>
<div class="line"><a name="l02352"></a><span class="lineno"> 2352</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a8c0f6d48705f40c5590dde09be262222">m_OutputGateBias</a>));</div>
<div class="line"><a name="l02353"></a><span class="lineno"> 2353</span>  </div>
<div class="line"><a name="l02354"></a><span class="lineno"> 2354</span>  <span class="comment">//Lstm Cifg parameters</span></div>
<div class="line"><a name="l02355"></a><span class="lineno"> 2355</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div>
<div class="line"><a name="l02356"></a><span class="lineno"> 2356</span>  {</div>
<div class="line"><a name="l02357"></a><span class="lineno"> 2357</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#affcee5f4ab5994a21bee3b78b4e43de3">m_InputToInputWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02358"></a><span class="lineno"> 2358</span>  {</div>
<div class="line"><a name="l02359"></a><span class="lineno"> 2359</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Input To Input Weights cannot be NULL "</span></div>
<div class="line"><a name="l02360"></a><span class="lineno"> 2360</span>  <span class="stringliteral">"when CIFG is disabled."</span>);</div>
<div class="line"><a name="l02361"></a><span class="lineno"> 2361</span>  }</div>
<div class="line"><a name="l02362"></a><span class="lineno"> 2362</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a435d3651482bbfcc11263b4e4e0c900f">m_RecurrentToInputWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02363"></a><span class="lineno"> 2363</span>  {</div>
<div class="line"><a name="l02364"></a><span class="lineno"> 2364</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(</div>
<div class="line"><a name="l02365"></a><span class="lineno"> 2365</span>  <span class="stringliteral">"AddLstmLayer: Recurrent To Input Weights cannot be NULL "</span></div>
<div class="line"><a name="l02366"></a><span class="lineno"> 2366</span>  <span class="stringliteral">"when CIFG is disabled."</span>);</div>
<div class="line"><a name="l02367"></a><span class="lineno"> 2367</span>  }</div>
<div class="line"><a name="l02368"></a><span class="lineno"> 2368</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a9e081a9b94defb30d1558dc912507e0e">m_InputGateBias</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02369"></a><span class="lineno"> 2369</span>  {</div>
<div class="line"><a name="l02370"></a><span class="lineno"> 2370</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Input Gate Bias cannot be NULL "</span></div>
<div class="line"><a name="l02371"></a><span class="lineno"> 2371</span>  <span class="stringliteral">"when CIFG is disabled."</span>);</div>
<div class="line"><a name="l02372"></a><span class="lineno"> 2372</span>  }</div>
<div class="line"><a name="l02373"></a><span class="lineno"> 2373</span>  layer->m_CifgParameters.m_InputToInputWeights =</div>
<div class="line"><a name="l02374"></a><span class="lineno"> 2374</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#affcee5f4ab5994a21bee3b78b4e43de3">m_InputToInputWeights</a>));</div>
<div class="line"><a name="l02375"></a><span class="lineno"> 2375</span>  layer->m_CifgParameters.m_RecurrentToInputWeights =</div>
<div class="line"><a name="l02376"></a><span class="lineno"> 2376</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a435d3651482bbfcc11263b4e4e0c900f">m_RecurrentToInputWeights</a>));</div>
<div class="line"><a name="l02377"></a><span class="lineno"> 2377</span>  layer->m_CifgParameters.m_InputGateBias =</div>
<div class="line"><a name="l02378"></a><span class="lineno"> 2378</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a9e081a9b94defb30d1558dc912507e0e">m_InputGateBias</a>));</div>
<div class="line"><a name="l02379"></a><span class="lineno"> 2379</span>  }</div>
<div class="line"><a name="l02380"></a><span class="lineno"> 2380</span>  </div>
<div class="line"><a name="l02381"></a><span class="lineno"> 2381</span>  <span class="comment">//Lstm projection parameters</span></div>
<div class="line"><a name="l02382"></a><span class="lineno"> 2382</span>  <span class="keywordflow">if</span>(descriptor.m_ProjectionEnabled)</div>
<div class="line"><a name="l02383"></a><span class="lineno"> 2383</span>  {</div>
<div class="line"><a name="l02384"></a><span class="lineno"> 2384</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#ab03e6e1514f74427916c892f473fe04c">m_ProjectionWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02385"></a><span class="lineno"> 2385</span>  {</div>
<div class="line"><a name="l02386"></a><span class="lineno"> 2386</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Projection Weights cannot be NULL "</span></div>
<div class="line"><a name="l02387"></a><span class="lineno"> 2387</span>  <span class="stringliteral">"when projection is enabled."</span>);</div>
<div class="line"><a name="l02388"></a><span class="lineno"> 2388</span>  }</div>
<div class="line"><a name="l02389"></a><span class="lineno"> 2389</span>  layer->m_ProjectionParameters.m_ProjectionWeights =</div>
<div class="line"><a name="l02390"></a><span class="lineno"> 2390</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#ab03e6e1514f74427916c892f473fe04c">m_ProjectionWeights</a>));</div>
<div class="line"><a name="l02391"></a><span class="lineno"> 2391</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a44b0e6b16708df7f0d2bbab141688aaa">m_ProjectionBias</a> != <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02392"></a><span class="lineno"> 2392</span>  {</div>
<div class="line"><a name="l02393"></a><span class="lineno"> 2393</span>  layer->m_ProjectionParameters.m_ProjectionBias =</div>
<div class="line"><a name="l02394"></a><span class="lineno"> 2394</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a44b0e6b16708df7f0d2bbab141688aaa">m_ProjectionBias</a>));</div>
<div class="line"><a name="l02395"></a><span class="lineno"> 2395</span>  }</div>
<div class="line"><a name="l02396"></a><span class="lineno"> 2396</span>  }</div>
<div class="line"><a name="l02397"></a><span class="lineno"> 2397</span>  </div>
<div class="line"><a name="l02398"></a><span class="lineno"> 2398</span>  <span class="comment">//Lstm Peephole params</span></div>
<div class="line"><a name="l02399"></a><span class="lineno"> 2399</span>  <span class="keywordflow">if</span>(descriptor.m_PeepholeEnabled)</div>
<div class="line"><a name="l02400"></a><span class="lineno"> 2400</span>  {</div>
<div class="line"><a name="l02401"></a><span class="lineno"> 2401</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div>
<div class="line"><a name="l02402"></a><span class="lineno"> 2402</span>  {</div>
<div class="line"><a name="l02403"></a><span class="lineno"> 2403</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a484bafa2f8453a7c5a4a00b92a61b006">m_CellToInputWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02404"></a><span class="lineno"> 2404</span>  {</div>
<div class="line"><a name="l02405"></a><span class="lineno"> 2405</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Cell To Input Weights cannot be NULL "</span></div>
<div class="line"><a name="l02406"></a><span class="lineno"> 2406</span>  <span class="stringliteral">"when Peephole is enabled and CIFG disabled."</span>);</div>
<div class="line"><a name="l02407"></a><span class="lineno"> 2407</span>  }</div>
<div class="line"><a name="l02408"></a><span class="lineno"> 2408</span>  </div>
<div class="line"><a name="l02409"></a><span class="lineno"> 2409</span>  layer->m_PeepholeParameters.m_CellToInputWeights =</div>
<div class="line"><a name="l02410"></a><span class="lineno"> 2410</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a484bafa2f8453a7c5a4a00b92a61b006">m_CellToInputWeights</a>));</div>
<div class="line"><a name="l02411"></a><span class="lineno"> 2411</span>  }</div>
<div class="line"><a name="l02412"></a><span class="lineno"> 2412</span>  </div>
<div class="line"><a name="l02413"></a><span class="lineno"> 2413</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a35b112e30c3eb153806a2a8c16d178e3">m_CellToForgetWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02414"></a><span class="lineno"> 2414</span>  {</div>
<div class="line"><a name="l02415"></a><span class="lineno"> 2415</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Cell To Forget Weights cannot be NULL "</span></div>
<div class="line"><a name="l02416"></a><span class="lineno"> 2416</span>  <span class="stringliteral">"when Peephole is enabled."</span>);</div>
<div class="line"><a name="l02417"></a><span class="lineno"> 2417</span>  }</div>
<div class="line"><a name="l02418"></a><span class="lineno"> 2418</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#afe204ca375b74e9a72640c9227918d0a">m_CellToOutputWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02419"></a><span class="lineno"> 2419</span>  {</div>
<div class="line"><a name="l02420"></a><span class="lineno"> 2420</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Cell To Output Weights cannot be NULL "</span></div>
<div class="line"><a name="l02421"></a><span class="lineno"> 2421</span>  <span class="stringliteral">"when Peephole is enabled."</span>);</div>
<div class="line"><a name="l02422"></a><span class="lineno"> 2422</span>  }</div>
<div class="line"><a name="l02423"></a><span class="lineno"> 2423</span>  </div>
<div class="line"><a name="l02424"></a><span class="lineno"> 2424</span>  layer->m_PeepholeParameters.m_CellToForgetWeights =</div>
<div class="line"><a name="l02425"></a><span class="lineno"> 2425</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a35b112e30c3eb153806a2a8c16d178e3">m_CellToForgetWeights</a>));</div>
<div class="line"><a name="l02426"></a><span class="lineno"> 2426</span>  layer->m_PeepholeParameters.m_CellToOutputWeights =</div>
<div class="line"><a name="l02427"></a><span class="lineno"> 2427</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#afe204ca375b74e9a72640c9227918d0a">m_CellToOutputWeights</a>));</div>
<div class="line"><a name="l02428"></a><span class="lineno"> 2428</span>  }</div>
<div class="line"><a name="l02429"></a><span class="lineno"> 2429</span>  </div>
<div class="line"><a name="l02430"></a><span class="lineno"> 2430</span>  <span class="comment">//Lstm Layer Normalization params</span></div>
<div class="line"><a name="l02431"></a><span class="lineno"> 2431</span>  <span class="keywordflow">if</span>(descriptor.m_LayerNormEnabled)</div>
<div class="line"><a name="l02432"></a><span class="lineno"> 2432</span>  {</div>
<div class="line"><a name="l02433"></a><span class="lineno"> 2433</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div>
<div class="line"><a name="l02434"></a><span class="lineno"> 2434</span>  {</div>
<div class="line"><a name="l02435"></a><span class="lineno"> 2435</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a0cd848f65ec31778d708852f0042fe37">m_InputLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02436"></a><span class="lineno"> 2436</span>  {</div>
<div class="line"><a name="l02437"></a><span class="lineno"> 2437</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Input layer normalization weights cannot be NULL "</span></div>
<div class="line"><a name="l02438"></a><span class="lineno"> 2438</span>  <span class="stringliteral">"when layer normalization is enabled and CIFG disabled."</span>);</div>
<div class="line"><a name="l02439"></a><span class="lineno"> 2439</span>  }</div>
<div class="line"><a name="l02440"></a><span class="lineno"> 2440</span>  layer->m_LayerNormParameters.m_InputLayerNormWeights =</div>
<div class="line"><a name="l02441"></a><span class="lineno"> 2441</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a0cd848f65ec31778d708852f0042fe37">m_InputLayerNormWeights</a>));</div>
<div class="line"><a name="l02442"></a><span class="lineno"> 2442</span>  }</div>
<div class="line"><a name="l02443"></a><span class="lineno"> 2443</span>  </div>
<div class="line"><a name="l02444"></a><span class="lineno"> 2444</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#af0f796fba1a2be9c56b4c9ee534577ee">m_ForgetLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02445"></a><span class="lineno"> 2445</span>  {</div>
<div class="line"><a name="l02446"></a><span class="lineno"> 2446</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Forget layer normalization weights cannot be NULL "</span></div>
<div class="line"><a name="l02447"></a><span class="lineno"> 2447</span>  <span class="stringliteral">"when layer normalization is enabled."</span>);</div>
<div class="line"><a name="l02448"></a><span class="lineno"> 2448</span>  }</div>
<div class="line"><a name="l02449"></a><span class="lineno"> 2449</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#ad0b8c32bb5381f4cc999093ba3b98b43">m_CellLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02450"></a><span class="lineno"> 2450</span>  {</div>
<div class="line"><a name="l02451"></a><span class="lineno"> 2451</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Cell layer normalization weights cannot be NULL "</span></div>
<div class="line"><a name="l02452"></a><span class="lineno"> 2452</span>  <span class="stringliteral">"when layer normalization is enabled."</span>);</div>
<div class="line"><a name="l02453"></a><span class="lineno"> 2453</span>  }</div>
<div class="line"><a name="l02454"></a><span class="lineno"> 2454</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a9b18daea2e9f42386055326fd016519a">m_OutputLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02455"></a><span class="lineno"> 2455</span>  {</div>
<div class="line"><a name="l02456"></a><span class="lineno"> 2456</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Output layer normalization weights cannot be NULL "</span></div>
<div class="line"><a name="l02457"></a><span class="lineno"> 2457</span>  <span class="stringliteral">"when layer normalization is enabled."</span>);</div>
<div class="line"><a name="l02458"></a><span class="lineno"> 2458</span>  }</div>
<div class="line"><a name="l02459"></a><span class="lineno"> 2459</span>  layer->m_LayerNormParameters.m_ForgetLayerNormWeights =</div>
<div class="line"><a name="l02460"></a><span class="lineno"> 2460</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#af0f796fba1a2be9c56b4c9ee534577ee">m_ForgetLayerNormWeights</a>));</div>
<div class="line"><a name="l02461"></a><span class="lineno"> 2461</span>  layer->m_LayerNormParameters.m_CellLayerNormWeights =</div>
<div class="line"><a name="l02462"></a><span class="lineno"> 2462</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#ad0b8c32bb5381f4cc999093ba3b98b43">m_CellLayerNormWeights</a>));</div>
<div class="line"><a name="l02463"></a><span class="lineno"> 2463</span>  layer->m_LayerNormParameters.m_OutputLayerNormWeights =</div>
<div class="line"><a name="l02464"></a><span class="lineno"> 2464</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a9b18daea2e9f42386055326fd016519a">m_OutputLayerNormWeights</a>));</div>
<div class="line"><a name="l02465"></a><span class="lineno"> 2465</span>  }</div>
<div class="line"><a name="l02466"></a><span class="lineno"> 2466</span>  <span class="keywordflow">return</span> layer;</div>
<div class="line"><a name="l02467"></a><span class="lineno"> 2467</span> }</div>
<div class="line"><a name="l02468"></a><span class="lineno"> 2468</span>  </div>
<div class="line"><a name="l02469"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a0aeb4e528cf6ba4b7caca14a94fbcafe"> 2469</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a0aeb4e528cf6ba4b7caca14a94fbcafe">NetworkImpl::AddDivisionLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02470"></a><span class="lineno"> 2470</span> {</div>
<div class="line"><a name="l02471"></a><span class="lineno"> 2471</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_division_layer.xhtml">DivisionLayer</a>>(name);</div>
<div class="line"><a name="l02472"></a><span class="lineno"> 2472</span> }</div>
<div class="line"><a name="l02473"></a><span class="lineno"> 2473</span>  </div>
<div class="line"><a name="l02474"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#af13795cdf49e63d8bc3cb409592cdb9d"> 2474</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#af13795cdf49e63d8bc3cb409592cdb9d">NetworkImpl::AddSubtractionLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02475"></a><span class="lineno"> 2475</span> {</div>
<div class="line"><a name="l02476"></a><span class="lineno"> 2476</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_subtraction_layer.xhtml">SubtractionLayer</a>>(name);</div>
<div class="line"><a name="l02477"></a><span class="lineno"> 2477</span> }</div>
<div class="line"><a name="l02478"></a><span class="lineno"> 2478</span>  </div>
<div class="line"><a name="l02479"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#ad4726f9b7dd11db250d2a494a8a39494"> 2479</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#ad4726f9b7dd11db250d2a494a8a39494">NetworkImpl::AddMeanLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml">MeanDescriptor</a>& meanDescriptor, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02480"></a><span class="lineno"> 2480</span> {</div>
<div class="line"><a name="l02481"></a><span class="lineno"> 2481</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_mean_layer.xhtml">MeanLayer</a>>(meanDescriptor,name);</div>
<div class="line"><a name="l02482"></a><span class="lineno"> 2482</span> }</div>
<div class="line"><a name="l02483"></a><span class="lineno"> 2483</span>  </div>
<div class="line"><a name="l02484"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a6e2df484ecc65bc82712590b96e04df4"> 2484</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a6e2df484ecc65bc82712590b96e04df4">NetworkImpl::AddPadLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml">PadDescriptor</a>& padDescriptor, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02485"></a><span class="lineno"> 2485</span> {</div>
<div class="line"><a name="l02486"></a><span class="lineno"> 2486</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_pad_layer.xhtml">PadLayer</a>>(padDescriptor,name);</div>
<div class="line"><a name="l02487"></a><span class="lineno"> 2487</span> }</div>
<div class="line"><a name="l02488"></a><span class="lineno"> 2488</span>  </div>
<div class="line"><a name="l02489"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a0b426a3feffc76e66d73b5761806e899"> 2489</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a> *<a class="code" href="classarmnn_1_1_network_impl.xhtml#a0b426a3feffc76e66d73b5761806e899">NetworkImpl::AddQuantizeLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span> *name)</div>
<div class="line"><a name="l02490"></a><span class="lineno"> 2490</span> {</div>
<div class="line"><a name="l02491"></a><span class="lineno"> 2491</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_quantize_layer.xhtml">QuantizeLayer</a>>(name);</div>
<div class="line"><a name="l02492"></a><span class="lineno"> 2492</span> }</div>
<div class="line"><a name="l02493"></a><span class="lineno"> 2493</span>  </div>
<div class="line"><a name="l02494"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a357aca04172ed22fa32e5a69122b0fec"> 2494</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a357aca04172ed22fa32e5a69122b0fec">NetworkImpl::AddDequantizeLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02495"></a><span class="lineno"> 2495</span> {</div>
<div class="line"><a name="l02496"></a><span class="lineno"> 2496</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_dequantize_layer.xhtml">DequantizeLayer</a>>(name);</div>
<div class="line"><a name="l02497"></a><span class="lineno"> 2497</span> }</div>
<div class="line"><a name="l02498"></a><span class="lineno"> 2498</span>  </div>
<div class="line"><a name="l02499"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#ac5c93cad39a690af862d49ffaec0d3c0"> 2499</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#ac5c93cad39a690af862d49ffaec0d3c0">NetworkImpl::AddStridedSliceLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml">StridedSliceDescriptor</a>& stridedSliceDescriptor,</div>
<div class="line"><a name="l02500"></a><span class="lineno"> 2500</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02501"></a><span class="lineno"> 2501</span> {</div>
<div class="line"><a name="l02502"></a><span class="lineno"> 2502</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_strided_slice_layer.xhtml">StridedSliceLayer</a>>(stridedSliceDescriptor, name);</div>
<div class="line"><a name="l02503"></a><span class="lineno"> 2503</span> }</div>
<div class="line"><a name="l02504"></a><span class="lineno"> 2504</span>  </div>
<div class="line"><a name="l02505"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#aaf5e9645806f49d0fcd7ac07ba187f4e"> 2505</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#aaf5e9645806f49d0fcd7ac07ba187f4e">NetworkImpl::AddGatherLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_gather_descriptor.xhtml">GatherDescriptor</a>& gatherDescriptor,</div>
<div class="line"><a name="l02506"></a><span class="lineno"> 2506</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02507"></a><span class="lineno"> 2507</span> {</div>
<div class="line"><a name="l02508"></a><span class="lineno"> 2508</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_gather_layer.xhtml">GatherLayer</a>>(gatherDescriptor, name);</div>
<div class="line"><a name="l02509"></a><span class="lineno"> 2509</span> }</div>
<div class="line"><a name="l02510"></a><span class="lineno"> 2510</span>  </div>
<div class="line"><a name="l02511"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#af776e284b9e2c4a3563abb8cf5e8ac5e"> 2511</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#af776e284b9e2c4a3563abb8cf5e8ac5e">NetworkImpl::AddGatherNdLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02512"></a><span class="lineno"> 2512</span> {</div>
<div class="line"><a name="l02513"></a><span class="lineno"> 2513</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_gather_nd_layer.xhtml">GatherNdLayer</a>>(name);</div>
<div class="line"><a name="l02514"></a><span class="lineno"> 2514</span> }</div>
<div class="line"><a name="l02515"></a><span class="lineno"> 2515</span>  </div>
<div class="line"><a name="l02516"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a0f19808bdada45222e72edf7671a275a"> 2516</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a0f19808bdada45222e72edf7671a275a">NetworkImpl::AddMergeLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02517"></a><span class="lineno"> 2517</span> {</div>
<div class="line"><a name="l02518"></a><span class="lineno"> 2518</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_merge_layer.xhtml">MergeLayer</a>>(name);</div>
<div class="line"><a name="l02519"></a><span class="lineno"> 2519</span> }</div>
<div class="line"><a name="l02520"></a><span class="lineno"> 2520</span>  </div>
<div class="line"><a name="l02521"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a26e69cda5fe9642f9198c24ae5fdf9bc"> 2521</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a26e69cda5fe9642f9198c24ae5fdf9bc">NetworkImpl::AddSwitchLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02522"></a><span class="lineno"> 2522</span> {</div>
<div class="line"><a name="l02523"></a><span class="lineno"> 2523</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_switch_layer.xhtml">SwitchLayer</a>>(name);</div>
<div class="line"><a name="l02524"></a><span class="lineno"> 2524</span> }</div>
<div class="line"><a name="l02525"></a><span class="lineno"> 2525</span>  </div>
<div class="line"><a name="l02526"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a6d614a503a34ea3712b388aa4340ddbe"> 2526</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a6d614a503a34ea3712b388aa4340ddbe">NetworkImpl::AddPreluLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02527"></a><span class="lineno"> 2527</span> {</div>
<div class="line"><a name="l02528"></a><span class="lineno"> 2528</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_prelu_layer.xhtml">PreluLayer</a>>(name);</div>
<div class="line"><a name="l02529"></a><span class="lineno"> 2529</span> }</div>
<div class="line"><a name="l02530"></a><span class="lineno"> 2530</span>  </div>
<div class="line"><a name="l02531"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a41fd7b56923d5625bac2cbfebed1a393"> 2531</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a41fd7b56923d5625bac2cbfebed1a393">NetworkImpl::AddTransposeConvolution2dLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml">TransposeConvolution2dDescriptor</a>& descriptor,</div>
<div class="line"><a name="l02532"></a><span class="lineno"> 2532</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>& weights,</div>
<div class="line"><a name="l02533"></a><span class="lineno"> 2533</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<ConstTensor></a>& biases,</div>
<div class="line"><a name="l02534"></a><span class="lineno"> 2534</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02535"></a><span class="lineno"> 2535</span> {</div>
<div class="line"><a name="l02536"></a><span class="lineno"> 2536</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a> && !biases.<a class="code" href="classarmnn_1_1_optional_base.xhtml#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>())</div>
<div class="line"><a name="l02537"></a><span class="lineno"> 2537</span>  {</div>
<div class="line"><a name="l02538"></a><span class="lineno"> 2538</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"AddTransposeConvolution2dLayer: Biases cannot be empty"</span>);</div>
<div class="line"><a name="l02539"></a><span class="lineno"> 2539</span>  }</div>
<div class="line"><a name="l02540"></a><span class="lineno"> 2540</span>  </div>
<div class="line"><a name="l02541"></a><span class="lineno"> 2541</span>  <span class="keyword">const</span> <span class="keyword">auto</span> layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.xhtml">TransposeConvolution2dLayer</a>>(descriptor, name);</div>
<div class="line"><a name="l02542"></a><span class="lineno"> 2542</span>  </div>
<div class="line"><a name="l02543"></a><span class="lineno"> 2543</span>  layer-><a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.xhtml#a6266a703017d7296f87cc4923df2d725">m_Weight</a> = std::make_shared<ScopedTensorHandle>(weights);</div>
<div class="line"><a name="l02544"></a><span class="lineno"> 2544</span>  </div>
<div class="line"><a name="l02545"></a><span class="lineno"> 2545</span>  <span class="keywordflow">if</span> (descriptor.m_BiasEnabled)</div>
<div class="line"><a name="l02546"></a><span class="lineno"> 2546</span>  {</div>
<div class="line"><a name="l02547"></a><span class="lineno"> 2547</span>  layer->m_Bias = std::make_shared<ScopedTensorHandle>(biases.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div>
<div class="line"><a name="l02548"></a><span class="lineno"> 2548</span>  }</div>
<div class="line"><a name="l02549"></a><span class="lineno"> 2549</span>  </div>
<div class="line"><a name="l02550"></a><span class="lineno"> 2550</span>  <span class="keywordflow">return</span> layer;</div>
<div class="line"><a name="l02551"></a><span class="lineno"> 2551</span> }</div>
<div class="line"><a name="l02552"></a><span class="lineno"> 2552</span>  </div>
<div class="line"><a name="l02553"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#ab067ba4ee9416d93abb8a52f3dc8feba"> 2553</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#ab067ba4ee9416d93abb8a52f3dc8feba">NetworkImpl::AddTransposeLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_descriptor.xhtml">TransposeDescriptor</a>& transposeDescriptor,</div>
<div class="line"><a name="l02554"></a><span class="lineno"> 2554</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02555"></a><span class="lineno"> 2555</span> {</div>
<div class="line"><a name="l02556"></a><span class="lineno"> 2556</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_transpose_layer.xhtml">TransposeLayer</a>>(transposeDescriptor, name);</div>
<div class="line"><a name="l02557"></a><span class="lineno"> 2557</span> }</div>
<div class="line"><a name="l02558"></a><span class="lineno"> 2558</span>  </div>
<div class="line"><a name="l02559"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a446181daeb60b49cbcfd9f907f974ec1"> 2559</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a446181daeb60b49cbcfd9f907f974ec1">NetworkImpl::AddStackLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stack_descriptor.xhtml">StackDescriptor</a>& stackDescriptor,</div>
<div class="line"><a name="l02560"></a><span class="lineno"> 2560</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02561"></a><span class="lineno"> 2561</span> {</div>
<div class="line"><a name="l02562"></a><span class="lineno"> 2562</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_stack_layer.xhtml">StackLayer</a>>(stackDescriptor, name);</div>
<div class="line"><a name="l02563"></a><span class="lineno"> 2563</span> }</div>
<div class="line"><a name="l02564"></a><span class="lineno"> 2564</span>  </div>
<div class="line"><a name="l02565"></a><span class="lineno"> 2565</span>  </div>
<div class="line"><a name="l02566"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a74894d085e78ff80f45fc09dd2381f08"> 2566</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a74894d085e78ff80f45fc09dd2381f08">NetworkImpl::AddStandInLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml">StandInDescriptor</a>& desc,</div>
<div class="line"><a name="l02567"></a><span class="lineno"> 2567</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02568"></a><span class="lineno"> 2568</span> {</div>
<div class="line"><a name="l02569"></a><span class="lineno"> 2569</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_stand_in_layer.xhtml">StandInLayer</a>>(desc, name);</div>
<div class="line"><a name="l02570"></a><span class="lineno"> 2570</span> }</div>
<div class="line"><a name="l02571"></a><span class="lineno"> 2571</span>  </div>
<div class="line"><a name="l02572"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a40067b05f30a3ab65568c826df7a8ea7"> 2572</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a40067b05f30a3ab65568c826df7a8ea7">NetworkImpl::AddQuantizedLstmLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml">QuantizedLstmInputParams</a>& params,</div>
<div class="line"><a name="l02573"></a><span class="lineno"> 2573</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02574"></a><span class="lineno"> 2574</span> {</div>
<div class="line"><a name="l02575"></a><span class="lineno"> 2575</span>  <span class="keyword">const</span> <span class="keyword">auto</span> layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml">QuantizedLstmLayer</a>>(name);</div>
<div class="line"><a name="l02576"></a><span class="lineno"> 2576</span>  </div>
<div class="line"><a name="l02577"></a><span class="lineno"> 2577</span>  <span class="comment">// InputToX weights</span></div>
<div class="line"><a name="l02578"></a><span class="lineno"> 2578</span>  layer-><a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a> =</div>
<div class="line"><a name="l02579"></a><span class="lineno"> 2579</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a23d6133552ba91cc0571517896792ea4">GetInputToInputWeights</a>());</div>
<div class="line"><a name="l02580"></a><span class="lineno"> 2580</span>  layer->m_QuantizedLstmParameters.m_InputToForgetWeights =</div>
<div class="line"><a name="l02581"></a><span class="lineno"> 2581</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a339c19855613274cf0ea13921af9e5a3">GetInputToForgetWeights</a>());</div>
<div class="line"><a name="l02582"></a><span class="lineno"> 2582</span>  layer->m_QuantizedLstmParameters.m_InputToCellWeights =</div>
<div class="line"><a name="l02583"></a><span class="lineno"> 2583</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a928f70dd19a2b0d3e9b75c27a2099c44">GetInputToCellWeights</a>());</div>
<div class="line"><a name="l02584"></a><span class="lineno"> 2584</span>  layer->m_QuantizedLstmParameters.m_InputToOutputWeights =</div>
<div class="line"><a name="l02585"></a><span class="lineno"> 2585</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a477440c44fe870fb6f2486bf68214395">GetInputToOutputWeights</a>());</div>
<div class="line"><a name="l02586"></a><span class="lineno"> 2586</span>  </div>
<div class="line"><a name="l02587"></a><span class="lineno"> 2587</span>  <span class="comment">// RecurrentToX weights</span></div>
<div class="line"><a name="l02588"></a><span class="lineno"> 2588</span>  layer->m_QuantizedLstmParameters.m_RecurrentToInputWeights =</div>
<div class="line"><a name="l02589"></a><span class="lineno"> 2589</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#ad2e53e6428416a65ae4ba566207cc6bf">GetRecurrentToInputWeights</a>());</div>
<div class="line"><a name="l02590"></a><span class="lineno"> 2590</span>  layer->m_QuantizedLstmParameters.m_RecurrentToForgetWeights =</div>
<div class="line"><a name="l02591"></a><span class="lineno"> 2591</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a8ad69d6d46b4b12f47fbe6032c9b7a18">GetRecurrentToForgetWeights</a>());</div>
<div class="line"><a name="l02592"></a><span class="lineno"> 2592</span>  layer->m_QuantizedLstmParameters.m_RecurrentToCellWeights =</div>
<div class="line"><a name="l02593"></a><span class="lineno"> 2593</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a63e34dd3e41262e750f7a54de8ca81d1">GetRecurrentToCellWeights</a>());</div>
<div class="line"><a name="l02594"></a><span class="lineno"> 2594</span>  layer->m_QuantizedLstmParameters.m_RecurrentToOutputWeights =</div>
<div class="line"><a name="l02595"></a><span class="lineno"> 2595</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a94645f29b99800c2e57acc4832519a53">GetRecurrentToOutputWeights</a>());</div>
<div class="line"><a name="l02596"></a><span class="lineno"> 2596</span>  </div>
<div class="line"><a name="l02597"></a><span class="lineno"> 2597</span>  <span class="comment">// Bias</span></div>
<div class="line"><a name="l02598"></a><span class="lineno"> 2598</span>  layer->m_QuantizedLstmParameters.m_InputGateBias =</div>
<div class="line"><a name="l02599"></a><span class="lineno"> 2599</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#aba6d12c9d5671017b6711b80316069ff">GetInputGateBias</a>());</div>
<div class="line"><a name="l02600"></a><span class="lineno"> 2600</span>  layer->m_QuantizedLstmParameters.m_ForgetGateBias =</div>
<div class="line"><a name="l02601"></a><span class="lineno"> 2601</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a715696f29b5376cbb8aaec0b77a092af">GetForgetGateBias</a>());</div>
<div class="line"><a name="l02602"></a><span class="lineno"> 2602</span>  layer->m_QuantizedLstmParameters.m_CellBias =</div>
<div class="line"><a name="l02603"></a><span class="lineno"> 2603</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a89f3c8b72e3a802240156915141de5ca">GetCellBias</a>());</div>
<div class="line"><a name="l02604"></a><span class="lineno"> 2604</span>  layer->m_QuantizedLstmParameters.m_OutputGateBias =</div>
<div class="line"><a name="l02605"></a><span class="lineno"> 2605</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a1691bf16df2cabf1a4b82aecbb021f31">GetOutputGateBias</a>());</div>
<div class="line"><a name="l02606"></a><span class="lineno"> 2606</span>  </div>
<div class="line"><a name="l02607"></a><span class="lineno"> 2607</span>  <span class="keywordflow">return</span> layer;</div>
<div class="line"><a name="l02608"></a><span class="lineno"> 2608</span> }</div>
<div class="line"><a name="l02609"></a><span class="lineno"> 2609</span>  </div>
<div class="line"><a name="l02610"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a2acbae0b9e98c94b843677484775c86a"> 2610</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a2acbae0b9e98c94b843677484775c86a">NetworkImpl::AddQLstmLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml">QLstmDescriptor</a>& descriptor,</div>
<div class="line"><a name="l02611"></a><span class="lineno"> 2611</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params.xhtml">LstmInputParams</a>& params,</div>
<div class="line"><a name="l02612"></a><span class="lineno"> 2612</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02613"></a><span class="lineno"> 2613</span> {</div>
<div class="line"><a name="l02614"></a><span class="lineno"> 2614</span>  <span class="keyword">const</span> <span class="keyword">auto</span> layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_q_lstm_layer.xhtml">QLstmLayer</a>>(descriptor, name);</div>
<div class="line"><a name="l02615"></a><span class="lineno"> 2615</span>  </div>
<div class="line"><a name="l02616"></a><span class="lineno"> 2616</span>  <span class="comment">// QLstm Basic Parameters</span></div>
<div class="line"><a name="l02617"></a><span class="lineno"> 2617</span>  layer-><a class="code" href="classarmnn_1_1_q_lstm_layer.xhtml#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.xhtml#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> =</div>
<div class="line"><a name="l02618"></a><span class="lineno"> 2618</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a31da1ead6794dd64571afdd0b6efc771">m_InputToForgetWeights</a>));</div>
<div class="line"><a name="l02619"></a><span class="lineno"> 2619</span>  layer->m_BasicParameters.m_InputToCellWeights =</div>
<div class="line"><a name="l02620"></a><span class="lineno"> 2620</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a49e11acda22742cbaf6f1b259ead0d84">m_InputToCellWeights</a>));</div>
<div class="line"><a name="l02621"></a><span class="lineno"> 2621</span>  layer->m_BasicParameters.m_InputToOutputWeights =</div>
<div class="line"><a name="l02622"></a><span class="lineno"> 2622</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a6e30c7b3451da3ea9cf4259fb602e6e6">m_InputToOutputWeights</a>));</div>
<div class="line"><a name="l02623"></a><span class="lineno"> 2623</span>  layer->m_BasicParameters.m_RecurrentToForgetWeights =</div>
<div class="line"><a name="l02624"></a><span class="lineno"> 2624</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#ae83131e16df1cace69395a5f99bc5ecb">m_RecurrentToForgetWeights</a>));</div>
<div class="line"><a name="l02625"></a><span class="lineno"> 2625</span>  layer->m_BasicParameters.m_RecurrentToCellWeights =</div>
<div class="line"><a name="l02626"></a><span class="lineno"> 2626</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a1759754ccb88ecc9af44f3aae6e244ee">m_RecurrentToCellWeights</a>));</div>
<div class="line"><a name="l02627"></a><span class="lineno"> 2627</span>  layer->m_BasicParameters.m_RecurrentToOutputWeights =</div>
<div class="line"><a name="l02628"></a><span class="lineno"> 2628</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a56b81ca8ba4b4937e0787e4951f043fc">m_RecurrentToOutputWeights</a>));</div>
<div class="line"><a name="l02629"></a><span class="lineno"> 2629</span>  layer->m_BasicParameters.m_ForgetGateBias =</div>
<div class="line"><a name="l02630"></a><span class="lineno"> 2630</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#ace7a1f1f1041b412b7d8ef82b95ff352">m_ForgetGateBias</a>));</div>
<div class="line"><a name="l02631"></a><span class="lineno"> 2631</span>  layer->m_BasicParameters.m_CellBias =</div>
<div class="line"><a name="l02632"></a><span class="lineno"> 2632</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a4a9d678146f572808a361dbdc5489f38">m_CellBias</a>));</div>
<div class="line"><a name="l02633"></a><span class="lineno"> 2633</span>  layer->m_BasicParameters.m_OutputGateBias =</div>
<div class="line"><a name="l02634"></a><span class="lineno"> 2634</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a8c0f6d48705f40c5590dde09be262222">m_OutputGateBias</a>));</div>
<div class="line"><a name="l02635"></a><span class="lineno"> 2635</span>  </div>
<div class="line"><a name="l02636"></a><span class="lineno"> 2636</span>  <span class="comment">// QLstm Cifg parameters</span></div>
<div class="line"><a name="l02637"></a><span class="lineno"> 2637</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div>
<div class="line"><a name="l02638"></a><span class="lineno"> 2638</span>  {</div>
<div class="line"><a name="l02639"></a><span class="lineno"> 2639</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#affcee5f4ab5994a21bee3b78b4e43de3">m_InputToInputWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02640"></a><span class="lineno"> 2640</span>  {</div>
<div class="line"><a name="l02641"></a><span class="lineno"> 2641</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Input To Input Weights cannot be NULL"</span>);</div>
<div class="line"><a name="l02642"></a><span class="lineno"> 2642</span>  }</div>
<div class="line"><a name="l02643"></a><span class="lineno"> 2643</span>  </div>
<div class="line"><a name="l02644"></a><span class="lineno"> 2644</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a435d3651482bbfcc11263b4e4e0c900f">m_RecurrentToInputWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02645"></a><span class="lineno"> 2645</span>  {</div>
<div class="line"><a name="l02646"></a><span class="lineno"> 2646</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(</div>
<div class="line"><a name="l02647"></a><span class="lineno"> 2647</span>  <span class="stringliteral">"AddQLstmLayer: Recurrent To Input Weights cannot be NULL"</span>);</div>
<div class="line"><a name="l02648"></a><span class="lineno"> 2648</span>  }</div>
<div class="line"><a name="l02649"></a><span class="lineno"> 2649</span>  </div>
<div class="line"><a name="l02650"></a><span class="lineno"> 2650</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a9e081a9b94defb30d1558dc912507e0e">m_InputGateBias</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02651"></a><span class="lineno"> 2651</span>  {</div>
<div class="line"><a name="l02652"></a><span class="lineno"> 2652</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Input Gate Bias cannot be NULL"</span>);</div>
<div class="line"><a name="l02653"></a><span class="lineno"> 2653</span>  }</div>
<div class="line"><a name="l02654"></a><span class="lineno"> 2654</span>  </div>
<div class="line"><a name="l02655"></a><span class="lineno"> 2655</span>  layer->m_CifgParameters.m_InputToInputWeights =</div>
<div class="line"><a name="l02656"></a><span class="lineno"> 2656</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#affcee5f4ab5994a21bee3b78b4e43de3">m_InputToInputWeights</a>));</div>
<div class="line"><a name="l02657"></a><span class="lineno"> 2657</span>  layer->m_CifgParameters.m_RecurrentToInputWeights =</div>
<div class="line"><a name="l02658"></a><span class="lineno"> 2658</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a435d3651482bbfcc11263b4e4e0c900f">m_RecurrentToInputWeights</a>));</div>
<div class="line"><a name="l02659"></a><span class="lineno"> 2659</span>  layer->m_CifgParameters.m_InputGateBias =</div>
<div class="line"><a name="l02660"></a><span class="lineno"> 2660</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a9e081a9b94defb30d1558dc912507e0e">m_InputGateBias</a>));</div>
<div class="line"><a name="l02661"></a><span class="lineno"> 2661</span>  }</div>
<div class="line"><a name="l02662"></a><span class="lineno"> 2662</span>  </div>
<div class="line"><a name="l02663"></a><span class="lineno"> 2663</span>  <span class="comment">// QLstm Projection parameters</span></div>
<div class="line"><a name="l02664"></a><span class="lineno"> 2664</span>  <span class="keywordflow">if</span>(descriptor.m_ProjectionEnabled)</div>
<div class="line"><a name="l02665"></a><span class="lineno"> 2665</span>  {</div>
<div class="line"><a name="l02666"></a><span class="lineno"> 2666</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#ab03e6e1514f74427916c892f473fe04c">m_ProjectionWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02667"></a><span class="lineno"> 2667</span>  {</div>
<div class="line"><a name="l02668"></a><span class="lineno"> 2668</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Projection Weights cannot be NULL"</span>);</div>
<div class="line"><a name="l02669"></a><span class="lineno"> 2669</span>  }</div>
<div class="line"><a name="l02670"></a><span class="lineno"> 2670</span>  </div>
<div class="line"><a name="l02671"></a><span class="lineno"> 2671</span>  layer->m_ProjectionParameters.m_ProjectionWeights =</div>
<div class="line"><a name="l02672"></a><span class="lineno"> 2672</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#ab03e6e1514f74427916c892f473fe04c">m_ProjectionWeights</a>));</div>
<div class="line"><a name="l02673"></a><span class="lineno"> 2673</span>  </div>
<div class="line"><a name="l02674"></a><span class="lineno"> 2674</span>  <span class="comment">// Projection bias is optional even if projection is enabled</span></div>
<div class="line"><a name="l02675"></a><span class="lineno"> 2675</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a44b0e6b16708df7f0d2bbab141688aaa">m_ProjectionBias</a> != <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02676"></a><span class="lineno"> 2676</span>  {</div>
<div class="line"><a name="l02677"></a><span class="lineno"> 2677</span>  layer->m_ProjectionParameters.m_ProjectionBias =</div>
<div class="line"><a name="l02678"></a><span class="lineno"> 2678</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a44b0e6b16708df7f0d2bbab141688aaa">m_ProjectionBias</a>));</div>
<div class="line"><a name="l02679"></a><span class="lineno"> 2679</span>  }</div>
<div class="line"><a name="l02680"></a><span class="lineno"> 2680</span>  </div>
<div class="line"><a name="l02681"></a><span class="lineno"> 2681</span>  }</div>
<div class="line"><a name="l02682"></a><span class="lineno"> 2682</span>  </div>
<div class="line"><a name="l02683"></a><span class="lineno"> 2683</span>  <span class="comment">// QLstm Peephole params</span></div>
<div class="line"><a name="l02684"></a><span class="lineno"> 2684</span>  <span class="keywordflow">if</span>(descriptor.m_PeepholeEnabled)</div>
<div class="line"><a name="l02685"></a><span class="lineno"> 2685</span>  {</div>
<div class="line"><a name="l02686"></a><span class="lineno"> 2686</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a35b112e30c3eb153806a2a8c16d178e3">m_CellToForgetWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02687"></a><span class="lineno"> 2687</span>  {</div>
<div class="line"><a name="l02688"></a><span class="lineno"> 2688</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Cell To Forget Weights cannot be NULL"</span>);</div>
<div class="line"><a name="l02689"></a><span class="lineno"> 2689</span>  }</div>
<div class="line"><a name="l02690"></a><span class="lineno"> 2690</span>  </div>
<div class="line"><a name="l02691"></a><span class="lineno"> 2691</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#afe204ca375b74e9a72640c9227918d0a">m_CellToOutputWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02692"></a><span class="lineno"> 2692</span>  {</div>
<div class="line"><a name="l02693"></a><span class="lineno"> 2693</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Cell To Output Weights cannot be NULL"</span>);</div>
<div class="line"><a name="l02694"></a><span class="lineno"> 2694</span>  }</div>
<div class="line"><a name="l02695"></a><span class="lineno"> 2695</span>  </div>
<div class="line"><a name="l02696"></a><span class="lineno"> 2696</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div>
<div class="line"><a name="l02697"></a><span class="lineno"> 2697</span>  {</div>
<div class="line"><a name="l02698"></a><span class="lineno"> 2698</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a484bafa2f8453a7c5a4a00b92a61b006">m_CellToInputWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02699"></a><span class="lineno"> 2699</span>  {</div>
<div class="line"><a name="l02700"></a><span class="lineno"> 2700</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Cell To Input Weights cannot be NULL"</span>);</div>
<div class="line"><a name="l02701"></a><span class="lineno"> 2701</span>  }</div>
<div class="line"><a name="l02702"></a><span class="lineno"> 2702</span>  </div>
<div class="line"><a name="l02703"></a><span class="lineno"> 2703</span>  layer->m_PeepholeParameters.m_CellToInputWeights =</div>
<div class="line"><a name="l02704"></a><span class="lineno"> 2704</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a484bafa2f8453a7c5a4a00b92a61b006">m_CellToInputWeights</a>));</div>
<div class="line"><a name="l02705"></a><span class="lineno"> 2705</span>  }</div>
<div class="line"><a name="l02706"></a><span class="lineno"> 2706</span>  </div>
<div class="line"><a name="l02707"></a><span class="lineno"> 2707</span>  layer->m_PeepholeParameters.m_CellToForgetWeights =</div>
<div class="line"><a name="l02708"></a><span class="lineno"> 2708</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a35b112e30c3eb153806a2a8c16d178e3">m_CellToForgetWeights</a>));</div>
<div class="line"><a name="l02709"></a><span class="lineno"> 2709</span>  layer->m_PeepholeParameters.m_CellToOutputWeights =</div>
<div class="line"><a name="l02710"></a><span class="lineno"> 2710</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#afe204ca375b74e9a72640c9227918d0a">m_CellToOutputWeights</a>));</div>
<div class="line"><a name="l02711"></a><span class="lineno"> 2711</span>  }</div>
<div class="line"><a name="l02712"></a><span class="lineno"> 2712</span>  </div>
<div class="line"><a name="l02713"></a><span class="lineno"> 2713</span>  <span class="comment">// QLstm Layer Normalization params</span></div>
<div class="line"><a name="l02714"></a><span class="lineno"> 2714</span>  <span class="keywordflow">if</span>(descriptor.m_LayerNormEnabled)</div>
<div class="line"><a name="l02715"></a><span class="lineno"> 2715</span>  {</div>
<div class="line"><a name="l02716"></a><span class="lineno"> 2716</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#af0f796fba1a2be9c56b4c9ee534577ee">m_ForgetLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02717"></a><span class="lineno"> 2717</span>  {</div>
<div class="line"><a name="l02718"></a><span class="lineno"> 2718</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Forget layer normalization weights cannot be NULL"</span>);</div>
<div class="line"><a name="l02719"></a><span class="lineno"> 2719</span>  }</div>
<div class="line"><a name="l02720"></a><span class="lineno"> 2720</span>  </div>
<div class="line"><a name="l02721"></a><span class="lineno"> 2721</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#ad0b8c32bb5381f4cc999093ba3b98b43">m_CellLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02722"></a><span class="lineno"> 2722</span>  {</div>
<div class="line"><a name="l02723"></a><span class="lineno"> 2723</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Cell layer normalization weights cannot be NULL"</span>);</div>
<div class="line"><a name="l02724"></a><span class="lineno"> 2724</span>  }</div>
<div class="line"><a name="l02725"></a><span class="lineno"> 2725</span>  </div>
<div class="line"><a name="l02726"></a><span class="lineno"> 2726</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a9b18daea2e9f42386055326fd016519a">m_OutputLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02727"></a><span class="lineno"> 2727</span>  {</div>
<div class="line"><a name="l02728"></a><span class="lineno"> 2728</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Output layer normalization weights cannot be NULL"</span>);</div>
<div class="line"><a name="l02729"></a><span class="lineno"> 2729</span>  }</div>
<div class="line"><a name="l02730"></a><span class="lineno"> 2730</span>  </div>
<div class="line"><a name="l02731"></a><span class="lineno"> 2731</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div>
<div class="line"><a name="l02732"></a><span class="lineno"> 2732</span>  {</div>
<div class="line"><a name="l02733"></a><span class="lineno"> 2733</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a0cd848f65ec31778d708852f0042fe37">m_InputLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02734"></a><span class="lineno"> 2734</span>  {</div>
<div class="line"><a name="l02735"></a><span class="lineno"> 2735</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Input layer normalization weights cannot be NULL"</span>);</div>
<div class="line"><a name="l02736"></a><span class="lineno"> 2736</span>  }</div>
<div class="line"><a name="l02737"></a><span class="lineno"> 2737</span>  </div>
<div class="line"><a name="l02738"></a><span class="lineno"> 2738</span>  layer->m_LayerNormParameters.m_InputLayerNormWeights =</div>
<div class="line"><a name="l02739"></a><span class="lineno"> 2739</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a0cd848f65ec31778d708852f0042fe37">m_InputLayerNormWeights</a>));</div>
<div class="line"><a name="l02740"></a><span class="lineno"> 2740</span>  }</div>
<div class="line"><a name="l02741"></a><span class="lineno"> 2741</span>  </div>
<div class="line"><a name="l02742"></a><span class="lineno"> 2742</span>  layer->m_LayerNormParameters.m_ForgetLayerNormWeights =</div>
<div class="line"><a name="l02743"></a><span class="lineno"> 2743</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#af0f796fba1a2be9c56b4c9ee534577ee">m_ForgetLayerNormWeights</a>));</div>
<div class="line"><a name="l02744"></a><span class="lineno"> 2744</span>  layer->m_LayerNormParameters.m_CellLayerNormWeights =</div>
<div class="line"><a name="l02745"></a><span class="lineno"> 2745</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#ad0b8c32bb5381f4cc999093ba3b98b43">m_CellLayerNormWeights</a>));</div>
<div class="line"><a name="l02746"></a><span class="lineno"> 2746</span>  layer->m_LayerNormParameters.m_OutputLayerNormWeights =</div>
<div class="line"><a name="l02747"></a><span class="lineno"> 2747</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a9b18daea2e9f42386055326fd016519a">m_OutputLayerNormWeights</a>));</div>
<div class="line"><a name="l02748"></a><span class="lineno"> 2748</span>  }</div>
<div class="line"><a name="l02749"></a><span class="lineno"> 2749</span>  <span class="keywordflow">return</span> layer;</div>
<div class="line"><a name="l02750"></a><span class="lineno"> 2750</span> }</div>
<div class="line"><a name="l02751"></a><span class="lineno"> 2751</span>  </div>
<div class="line"><a name="l02752"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a1ff7534e1254dfb3ef8288194cca7ce3"> 2752</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a1ff7534e1254dfb3ef8288194cca7ce3">NetworkImpl::AddLogicalBinaryLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_logical_binary_descriptor.xhtml">LogicalBinaryDescriptor</a>& logicalBinaryDescriptor,</div>
<div class="line"><a name="l02753"></a><span class="lineno"> 2753</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02754"></a><span class="lineno"> 2754</span> {</div>
<div class="line"><a name="l02755"></a><span class="lineno"> 2755</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_logical_binary_layer.xhtml">LogicalBinaryLayer</a>>(logicalBinaryDescriptor, name);</div>
<div class="line"><a name="l02756"></a><span class="lineno"> 2756</span> }</div>
<div class="line"><a name="l02757"></a><span class="lineno"> 2757</span>  </div>
<div class="line"><a name="l02758"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#aba22dcdeed6e7c489aea6eb798c0a10a"> 2758</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#aba22dcdeed6e7c489aea6eb798c0a10a">NetworkImpl::AddUnidirectionalSequenceLstmLayer</a>(</div>
<div class="line"><a name="l02759"></a><span class="lineno"> 2759</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml">UnidirectionalSequenceLstmDescriptor</a>& descriptor,</div>
<div class="line"><a name="l02760"></a><span class="lineno"> 2760</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params.xhtml">LstmInputParams</a>& params,</div>
<div class="line"><a name="l02761"></a><span class="lineno"> 2761</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02762"></a><span class="lineno"> 2762</span> {</div>
<div class="line"><a name="l02763"></a><span class="lineno"> 2763</span>  <span class="keyword">const</span> <span class="keyword">auto</span> layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.xhtml">UnidirectionalSequenceLstmLayer</a>>(descriptor, name);</div>
<div class="line"><a name="l02764"></a><span class="lineno"> 2764</span>  </div>
<div class="line"><a name="l02765"></a><span class="lineno"> 2765</span>  <span class="comment">//Lstm Basic Parameters</span></div>
<div class="line"><a name="l02766"></a><span class="lineno"> 2766</span>  layer-><a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.xhtml#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.xhtml#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> =</div>
<div class="line"><a name="l02767"></a><span class="lineno"> 2767</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a31da1ead6794dd64571afdd0b6efc771">m_InputToForgetWeights</a>));</div>
<div class="line"><a name="l02768"></a><span class="lineno"> 2768</span>  layer->m_BasicParameters.m_InputToCellWeights =</div>
<div class="line"><a name="l02769"></a><span class="lineno"> 2769</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a49e11acda22742cbaf6f1b259ead0d84">m_InputToCellWeights</a>));</div>
<div class="line"><a name="l02770"></a><span class="lineno"> 2770</span>  layer->m_BasicParameters.m_InputToOutputWeights =</div>
<div class="line"><a name="l02771"></a><span class="lineno"> 2771</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a6e30c7b3451da3ea9cf4259fb602e6e6">m_InputToOutputWeights</a>));</div>
<div class="line"><a name="l02772"></a><span class="lineno"> 2772</span>  layer->m_BasicParameters.m_RecurrentToForgetWeights =</div>
<div class="line"><a name="l02773"></a><span class="lineno"> 2773</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#ae83131e16df1cace69395a5f99bc5ecb">m_RecurrentToForgetWeights</a>));</div>
<div class="line"><a name="l02774"></a><span class="lineno"> 2774</span>  layer->m_BasicParameters.m_RecurrentToCellWeights =</div>
<div class="line"><a name="l02775"></a><span class="lineno"> 2775</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a1759754ccb88ecc9af44f3aae6e244ee">m_RecurrentToCellWeights</a>));</div>
<div class="line"><a name="l02776"></a><span class="lineno"> 2776</span>  layer->m_BasicParameters.m_RecurrentToOutputWeights =</div>
<div class="line"><a name="l02777"></a><span class="lineno"> 2777</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a56b81ca8ba4b4937e0787e4951f043fc">m_RecurrentToOutputWeights</a>));</div>
<div class="line"><a name="l02778"></a><span class="lineno"> 2778</span>  layer->m_BasicParameters.m_ForgetGateBias =</div>
<div class="line"><a name="l02779"></a><span class="lineno"> 2779</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#ace7a1f1f1041b412b7d8ef82b95ff352">m_ForgetGateBias</a>));</div>
<div class="line"><a name="l02780"></a><span class="lineno"> 2780</span>  layer->m_BasicParameters.m_CellBias =</div>
<div class="line"><a name="l02781"></a><span class="lineno"> 2781</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a4a9d678146f572808a361dbdc5489f38">m_CellBias</a>));</div>
<div class="line"><a name="l02782"></a><span class="lineno"> 2782</span>  layer->m_BasicParameters.m_OutputGateBias =</div>
<div class="line"><a name="l02783"></a><span class="lineno"> 2783</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a8c0f6d48705f40c5590dde09be262222">m_OutputGateBias</a>));</div>
<div class="line"><a name="l02784"></a><span class="lineno"> 2784</span>  </div>
<div class="line"><a name="l02785"></a><span class="lineno"> 2785</span>  <span class="comment">//Lstm Cifg parameters</span></div>
<div class="line"><a name="l02786"></a><span class="lineno"> 2786</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div>
<div class="line"><a name="l02787"></a><span class="lineno"> 2787</span>  {</div>
<div class="line"><a name="l02788"></a><span class="lineno"> 2788</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#affcee5f4ab5994a21bee3b78b4e43de3">m_InputToInputWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02789"></a><span class="lineno"> 2789</span>  {</div>
<div class="line"><a name="l02790"></a><span class="lineno"> 2790</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Input To Input Weights cannot be NULL "</span></div>
<div class="line"><a name="l02791"></a><span class="lineno"> 2791</span>  <span class="stringliteral">"when CIFG is disabled."</span>);</div>
<div class="line"><a name="l02792"></a><span class="lineno"> 2792</span>  }</div>
<div class="line"><a name="l02793"></a><span class="lineno"> 2793</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a435d3651482bbfcc11263b4e4e0c900f">m_RecurrentToInputWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02794"></a><span class="lineno"> 2794</span>  {</div>
<div class="line"><a name="l02795"></a><span class="lineno"> 2795</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(</div>
<div class="line"><a name="l02796"></a><span class="lineno"> 2796</span>  <span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Recurrent To Input Weights cannot be NULL "</span></div>
<div class="line"><a name="l02797"></a><span class="lineno"> 2797</span>  <span class="stringliteral">"when CIFG is disabled."</span>);</div>
<div class="line"><a name="l02798"></a><span class="lineno"> 2798</span>  }</div>
<div class="line"><a name="l02799"></a><span class="lineno"> 2799</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a9e081a9b94defb30d1558dc912507e0e">m_InputGateBias</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02800"></a><span class="lineno"> 2800</span>  {</div>
<div class="line"><a name="l02801"></a><span class="lineno"> 2801</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Input Gate Bias cannot be NULL "</span></div>
<div class="line"><a name="l02802"></a><span class="lineno"> 2802</span>  <span class="stringliteral">"when CIFG is disabled."</span>);</div>
<div class="line"><a name="l02803"></a><span class="lineno"> 2803</span>  }</div>
<div class="line"><a name="l02804"></a><span class="lineno"> 2804</span>  layer->m_CifgParameters.m_InputToInputWeights =</div>
<div class="line"><a name="l02805"></a><span class="lineno"> 2805</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#affcee5f4ab5994a21bee3b78b4e43de3">m_InputToInputWeights</a>));</div>
<div class="line"><a name="l02806"></a><span class="lineno"> 2806</span>  layer->m_CifgParameters.m_RecurrentToInputWeights =</div>
<div class="line"><a name="l02807"></a><span class="lineno"> 2807</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a435d3651482bbfcc11263b4e4e0c900f">m_RecurrentToInputWeights</a>));</div>
<div class="line"><a name="l02808"></a><span class="lineno"> 2808</span>  layer->m_CifgParameters.m_InputGateBias =</div>
<div class="line"><a name="l02809"></a><span class="lineno"> 2809</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a9e081a9b94defb30d1558dc912507e0e">m_InputGateBias</a>));</div>
<div class="line"><a name="l02810"></a><span class="lineno"> 2810</span>  }</div>
<div class="line"><a name="l02811"></a><span class="lineno"> 2811</span>  </div>
<div class="line"><a name="l02812"></a><span class="lineno"> 2812</span>  <span class="comment">//Lstm projection parameters</span></div>
<div class="line"><a name="l02813"></a><span class="lineno"> 2813</span>  <span class="keywordflow">if</span>(descriptor.m_ProjectionEnabled)</div>
<div class="line"><a name="l02814"></a><span class="lineno"> 2814</span>  {</div>
<div class="line"><a name="l02815"></a><span class="lineno"> 2815</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#ab03e6e1514f74427916c892f473fe04c">m_ProjectionWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02816"></a><span class="lineno"> 2816</span>  {</div>
<div class="line"><a name="l02817"></a><span class="lineno"> 2817</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Projection Weights cannot be NULL "</span></div>
<div class="line"><a name="l02818"></a><span class="lineno"> 2818</span>  <span class="stringliteral">"when projection is enabled."</span>);</div>
<div class="line"><a name="l02819"></a><span class="lineno"> 2819</span>  }</div>
<div class="line"><a name="l02820"></a><span class="lineno"> 2820</span>  layer->m_ProjectionParameters.m_ProjectionWeights =</div>
<div class="line"><a name="l02821"></a><span class="lineno"> 2821</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#ab03e6e1514f74427916c892f473fe04c">m_ProjectionWeights</a>));</div>
<div class="line"><a name="l02822"></a><span class="lineno"> 2822</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a44b0e6b16708df7f0d2bbab141688aaa">m_ProjectionBias</a> != <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02823"></a><span class="lineno"> 2823</span>  {</div>
<div class="line"><a name="l02824"></a><span class="lineno"> 2824</span>  layer->m_ProjectionParameters.m_ProjectionBias =</div>
<div class="line"><a name="l02825"></a><span class="lineno"> 2825</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a44b0e6b16708df7f0d2bbab141688aaa">m_ProjectionBias</a>));</div>
<div class="line"><a name="l02826"></a><span class="lineno"> 2826</span>  }</div>
<div class="line"><a name="l02827"></a><span class="lineno"> 2827</span>  }</div>
<div class="line"><a name="l02828"></a><span class="lineno"> 2828</span>  </div>
<div class="line"><a name="l02829"></a><span class="lineno"> 2829</span>  <span class="comment">//Lstm Peephole params</span></div>
<div class="line"><a name="l02830"></a><span class="lineno"> 2830</span>  <span class="keywordflow">if</span>(descriptor.m_PeepholeEnabled)</div>
<div class="line"><a name="l02831"></a><span class="lineno"> 2831</span>  {</div>
<div class="line"><a name="l02832"></a><span class="lineno"> 2832</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div>
<div class="line"><a name="l02833"></a><span class="lineno"> 2833</span>  {</div>
<div class="line"><a name="l02834"></a><span class="lineno"> 2834</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a484bafa2f8453a7c5a4a00b92a61b006">m_CellToInputWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02835"></a><span class="lineno"> 2835</span>  {</div>
<div class="line"><a name="l02836"></a><span class="lineno"> 2836</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Cell To Input Weights "</span></div>
<div class="line"><a name="l02837"></a><span class="lineno"> 2837</span>  <span class="stringliteral">"cannot be NULL when Peephole is enabled and CIFG disabled."</span>);</div>
<div class="line"><a name="l02838"></a><span class="lineno"> 2838</span>  }</div>
<div class="line"><a name="l02839"></a><span class="lineno"> 2839</span>  </div>
<div class="line"><a name="l02840"></a><span class="lineno"> 2840</span>  layer->m_PeepholeParameters.m_CellToInputWeights =</div>
<div class="line"><a name="l02841"></a><span class="lineno"> 2841</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a484bafa2f8453a7c5a4a00b92a61b006">m_CellToInputWeights</a>));</div>
<div class="line"><a name="l02842"></a><span class="lineno"> 2842</span>  }</div>
<div class="line"><a name="l02843"></a><span class="lineno"> 2843</span>  </div>
<div class="line"><a name="l02844"></a><span class="lineno"> 2844</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a35b112e30c3eb153806a2a8c16d178e3">m_CellToForgetWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02845"></a><span class="lineno"> 2845</span>  {</div>
<div class="line"><a name="l02846"></a><span class="lineno"> 2846</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Cell To Forget Weights cannot be NULL "</span></div>
<div class="line"><a name="l02847"></a><span class="lineno"> 2847</span>  <span class="stringliteral">"when Peephole is enabled."</span>);</div>
<div class="line"><a name="l02848"></a><span class="lineno"> 2848</span>  }</div>
<div class="line"><a name="l02849"></a><span class="lineno"> 2849</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#afe204ca375b74e9a72640c9227918d0a">m_CellToOutputWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02850"></a><span class="lineno"> 2850</span>  {</div>
<div class="line"><a name="l02851"></a><span class="lineno"> 2851</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Cell To Output Weights cannot be NULL "</span></div>
<div class="line"><a name="l02852"></a><span class="lineno"> 2852</span>  <span class="stringliteral">"when Peephole is enabled."</span>);</div>
<div class="line"><a name="l02853"></a><span class="lineno"> 2853</span>  }</div>
<div class="line"><a name="l02854"></a><span class="lineno"> 2854</span>  </div>
<div class="line"><a name="l02855"></a><span class="lineno"> 2855</span>  layer->m_PeepholeParameters.m_CellToForgetWeights =</div>
<div class="line"><a name="l02856"></a><span class="lineno"> 2856</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a35b112e30c3eb153806a2a8c16d178e3">m_CellToForgetWeights</a>));</div>
<div class="line"><a name="l02857"></a><span class="lineno"> 2857</span>  layer->m_PeepholeParameters.m_CellToOutputWeights =</div>
<div class="line"><a name="l02858"></a><span class="lineno"> 2858</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#afe204ca375b74e9a72640c9227918d0a">m_CellToOutputWeights</a>));</div>
<div class="line"><a name="l02859"></a><span class="lineno"> 2859</span>  }</div>
<div class="line"><a name="l02860"></a><span class="lineno"> 2860</span>  </div>
<div class="line"><a name="l02861"></a><span class="lineno"> 2861</span>  <span class="comment">//Lstm Layer Normalization params</span></div>
<div class="line"><a name="l02862"></a><span class="lineno"> 2862</span>  <span class="keywordflow">if</span>(descriptor.m_LayerNormEnabled)</div>
<div class="line"><a name="l02863"></a><span class="lineno"> 2863</span>  {</div>
<div class="line"><a name="l02864"></a><span class="lineno"> 2864</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div>
<div class="line"><a name="l02865"></a><span class="lineno"> 2865</span>  {</div>
<div class="line"><a name="l02866"></a><span class="lineno"> 2866</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a0cd848f65ec31778d708852f0042fe37">m_InputLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02867"></a><span class="lineno"> 2867</span>  {</div>
<div class="line"><a name="l02868"></a><span class="lineno"> 2868</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Input layer normalization weights "</span></div>
<div class="line"><a name="l02869"></a><span class="lineno"> 2869</span>  <span class="stringliteral">"cannot be NULL when layer normalization is enabled and CIFG disabled."</span>);</div>
<div class="line"><a name="l02870"></a><span class="lineno"> 2870</span>  }</div>
<div class="line"><a name="l02871"></a><span class="lineno"> 2871</span>  layer->m_LayerNormParameters.m_InputLayerNormWeights =</div>
<div class="line"><a name="l02872"></a><span class="lineno"> 2872</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a0cd848f65ec31778d708852f0042fe37">m_InputLayerNormWeights</a>));</div>
<div class="line"><a name="l02873"></a><span class="lineno"> 2873</span>  }</div>
<div class="line"><a name="l02874"></a><span class="lineno"> 2874</span>  </div>
<div class="line"><a name="l02875"></a><span class="lineno"> 2875</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#af0f796fba1a2be9c56b4c9ee534577ee">m_ForgetLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02876"></a><span class="lineno"> 2876</span>  {</div>
<div class="line"><a name="l02877"></a><span class="lineno"> 2877</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Forget layer normalization weights "</span></div>
<div class="line"><a name="l02878"></a><span class="lineno"> 2878</span>  <span class="stringliteral">"cannot be NULL when layer normalization is enabled."</span>);</div>
<div class="line"><a name="l02879"></a><span class="lineno"> 2879</span>  }</div>
<div class="line"><a name="l02880"></a><span class="lineno"> 2880</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#ad0b8c32bb5381f4cc999093ba3b98b43">m_CellLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02881"></a><span class="lineno"> 2881</span>  {</div>
<div class="line"><a name="l02882"></a><span class="lineno"> 2882</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Cell layer normalization weights "</span></div>
<div class="line"><a name="l02883"></a><span class="lineno"> 2883</span>  <span class="stringliteral">"cannot be NULL when layer normalization is enabled."</span>);</div>
<div class="line"><a name="l02884"></a><span class="lineno"> 2884</span>  }</div>
<div class="line"><a name="l02885"></a><span class="lineno"> 2885</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a9b18daea2e9f42386055326fd016519a">m_OutputLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02886"></a><span class="lineno"> 2886</span>  {</div>
<div class="line"><a name="l02887"></a><span class="lineno"> 2887</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Output layer normalization weights "</span></div>
<div class="line"><a name="l02888"></a><span class="lineno"> 2888</span>  <span class="stringliteral">"cannot be NULL when layer normalization is enabled."</span>);</div>
<div class="line"><a name="l02889"></a><span class="lineno"> 2889</span>  }</div>
<div class="line"><a name="l02890"></a><span class="lineno"> 2890</span>  layer->m_LayerNormParameters.m_ForgetLayerNormWeights =</div>
<div class="line"><a name="l02891"></a><span class="lineno"> 2891</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#af0f796fba1a2be9c56b4c9ee534577ee">m_ForgetLayerNormWeights</a>));</div>
<div class="line"><a name="l02892"></a><span class="lineno"> 2892</span>  layer->m_LayerNormParameters.m_CellLayerNormWeights =</div>
<div class="line"><a name="l02893"></a><span class="lineno"> 2893</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#ad0b8c32bb5381f4cc999093ba3b98b43">m_CellLayerNormWeights</a>));</div>
<div class="line"><a name="l02894"></a><span class="lineno"> 2894</span>  layer->m_LayerNormParameters.m_OutputLayerNormWeights =</div>
<div class="line"><a name="l02895"></a><span class="lineno"> 2895</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a9b18daea2e9f42386055326fd016519a">m_OutputLayerNormWeights</a>));</div>
<div class="line"><a name="l02896"></a><span class="lineno"> 2896</span>  }</div>
<div class="line"><a name="l02897"></a><span class="lineno"> 2897</span>  <span class="keywordflow">return</span> layer;</div>
<div class="line"><a name="l02898"></a><span class="lineno"> 2898</span> }</div>
<div class="line"><a name="l02899"></a><span class="lineno"> 2899</span>  </div>
<div class="line"><a name="l02900"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a7b74bd646ccf7ee6eaf3e23a958606ff"> 2900</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#a7b74bd646ccf7ee6eaf3e23a958606ff">NetworkImpl::AddBatchMatMulLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">BatchMatMulDescriptor</a>& desc, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02901"></a><span class="lineno"> 2901</span> {</div>
<div class="line"><a name="l02902"></a><span class="lineno"> 2902</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_batch_mat_mul_layer.xhtml">BatchMatMulLayer</a>>(desc, name);</div>
<div class="line"><a name="l02903"></a><span class="lineno"> 2903</span> }</div>
<div class="line"><a name="l02904"></a><span class="lineno"> 2904</span>  </div>
<div class="line"><a name="l02905"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#aee3a15d2fa419f50a8ac45e6d3c11e16"> 2905</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.xhtml#aee3a15d2fa419f50a8ac45e6d3c11e16">NetworkImpl::AddPrecompiledLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pre_compiled_descriptor.xhtml">PreCompiledDescriptor</a>& preCompiledDescriptor,</div>
<div class="line"><a name="l02906"></a><span class="lineno"> 2906</span>  <a class="code" href="namespacearmnn.xhtml#af362583b7b4c471c434cb0fdb86c2ae2">CompiledBlobPtr</a> compiledBlobPtr,</div>
<div class="line"><a name="l02907"></a><span class="lineno"> 2907</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<BackendId></a>& backend,</div>
<div class="line"><a name="l02908"></a><span class="lineno"> 2908</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02909"></a><span class="lineno"> 2909</span> {</div>
<div class="line"><a name="l02910"></a><span class="lineno"> 2910</span>  <span class="comment">// Method use is for backend users.</span></div>
<div class="line"><a name="l02911"></a><span class="lineno"> 2911</span>  <a class="code" href="classarmnn_1_1_pre_compiled_layer.xhtml">PreCompiledLayer</a>* layer;</div>
<div class="line"><a name="l02912"></a><span class="lineno"> 2912</span>  <span class="keywordflow">if</span> (name)</div>
<div class="line"><a name="l02913"></a><span class="lineno"> 2913</span>  {</div>
<div class="line"><a name="l02914"></a><span class="lineno"> 2914</span>  layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_pre_compiled_layer.xhtml">PreCompiledLayer</a>>(preCompiledDescriptor, name);</div>
<div class="line"><a name="l02915"></a><span class="lineno"> 2915</span>  }</div>
<div class="line"><a name="l02916"></a><span class="lineno"> 2916</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l02917"></a><span class="lineno"> 2917</span>  {</div>
<div class="line"><a name="l02918"></a><span class="lineno"> 2918</span>  layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_pre_compiled_layer.xhtml">PreCompiledLayer</a>>(preCompiledDescriptor, <span class="stringliteral">"pre-compiled"</span>);</div>
<div class="line"><a name="l02919"></a><span class="lineno"> 2919</span>  }</div>
<div class="line"><a name="l02920"></a><span class="lineno"> 2920</span>  </div>
<div class="line"><a name="l02921"></a><span class="lineno"> 2921</span>  <span class="comment">// Assign the pre-compiled object to layer</span></div>
<div class="line"><a name="l02922"></a><span class="lineno"> 2922</span>  <span class="comment">// Pass only one compiled network, Arm NN does not handle multiple</span></div>
<div class="line"><a name="l02923"></a><span class="lineno"> 2923</span>  <span class="comment">// pre-compiled objects in a single pre-compiled layer currently</span></div>
<div class="line"><a name="l02924"></a><span class="lineno"> 2924</span>  layer-><a class="code" href="classarmnn_1_1_pre_compiled_layer.xhtml#a1e06bf299b99f9eecb2e8ac5ce7457e2">SetPreCompiledObject</a>(std::move(compiledBlobPtr));</div>
<div class="line"><a name="l02925"></a><span class="lineno"> 2925</span>  </div>
<div class="line"><a name="l02926"></a><span class="lineno"> 2926</span>  <span class="keywordflow">if</span> (backend.<a class="code" href="classarmnn_1_1_optional_base.xhtml#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>())</div>
<div class="line"><a name="l02927"></a><span class="lineno"> 2927</span>  {</div>
<div class="line"><a name="l02928"></a><span class="lineno"> 2928</span>  layer-><a class="code" href="classarmnn_1_1_layer.xhtml#a316670cb6b65902e017c32ca4bcb4b98">SetBackendId</a>(backend.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div>
<div class="line"><a name="l02929"></a><span class="lineno"> 2929</span>  }</div>
<div class="line"><a name="l02930"></a><span class="lineno"> 2930</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (layer-><a class="code" href="classarmnn_1_1_layer.xhtml#a6ff80e440308295056b57e2adaa42888">GetBackendHint</a>().has_value())</div>
<div class="line"><a name="l02931"></a><span class="lineno"> 2931</span>  {</div>
<div class="line"><a name="l02932"></a><span class="lineno"> 2932</span>  layer-><a class="code" href="classarmnn_1_1_layer.xhtml#a316670cb6b65902e017c32ca4bcb4b98">SetBackendId</a>(layer-><a class="code" href="classarmnn_1_1_layer.xhtml#a6ff80e440308295056b57e2adaa42888">GetBackendHint</a>().value());</div>
<div class="line"><a name="l02933"></a><span class="lineno"> 2933</span>  }</div>
<div class="line"><a name="l02934"></a><span class="lineno"> 2934</span>  </div>
<div class="line"><a name="l02935"></a><span class="lineno"> 2935</span>  <span class="keywordflow">return</span> layer;</div>
<div class="line"><a name="l02936"></a><span class="lineno"> 2936</span> }</div>
<div class="line"><a name="l02937"></a><span class="lineno"> 2937</span>  </div>
<div class="line"><a name="l02938"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.xhtml#a72032c65bf8b8acf09b564b7d80078c5"> 2938</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_network_impl.xhtml#a72032c65bf8b8acf09b564b7d80078c5">NetworkImpl::ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.xhtml">IStrategy</a>& strategy)<span class="keyword"> const</span></div>
<div class="line"><a name="l02939"></a><span class="lineno"> 2939</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l02940"></a><span class="lineno"> 2940</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> layer : <a class="code" href="classarmnn_1_1_network_impl.xhtml#afe0a4f719f9752a405e71878da7012ba">GetGraph</a>())</div>
<div class="line"><a name="l02941"></a><span class="lineno"> 2941</span>  {</div>
<div class="line"><a name="l02942"></a><span class="lineno"> 2942</span>  layer->ExecuteStrategy(strategy);</div>
<div class="line"><a name="l02943"></a><span class="lineno"> 2943</span>  };</div>
<div class="line"><a name="l02944"></a><span class="lineno"> 2944</span> }</div>
<div class="line"><a name="l02945"></a><span class="lineno"> 2945</span>  </div>
<div class="line"><a name="l02946"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimized_network_impl.xhtml#aef978fb468fb765301a95c7c0a936926"> 2946</a></span> <a class="code" href="classarmnn_1_1_optimized_network_impl.xhtml#aef978fb468fb765301a95c7c0a936926">OptimizedNetworkImpl::OptimizedNetworkImpl</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optimized_network_impl.xhtml">OptimizedNetworkImpl</a>& other, <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a>& modelOptions)</div>
<div class="line"><a name="l02947"></a><span class="lineno"> 2947</span>  : m_Graph(new <a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a>(*other.m_Graph.get()))</div>
<div class="line"><a name="l02948"></a><span class="lineno"> 2948</span>  , m_Guid(<a class="code" href="namespacearm.xhtml">arm</a>::pipe::IProfilingService::GetNextGuid())</div>
<div class="line"><a name="l02949"></a><span class="lineno"> 2949</span>  , m_ModelOptions(modelOptions)</div>
<div class="line"><a name="l02950"></a><span class="lineno"> 2950</span> {</div>
<div class="line"><a name="l02951"></a><span class="lineno"> 2951</span> }</div>
<div class="line"><a name="l02952"></a><span class="lineno"> 2952</span>  </div>
<div class="line"><a name="l02953"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimized_network_impl.xhtml#afc73993a557309c43043aa0592fd7981"> 2953</a></span> <a class="code" href="classarmnn_1_1_optimized_network_impl.xhtml#aef978fb468fb765301a95c7c0a936926">OptimizedNetworkImpl::OptimizedNetworkImpl</a>(std::unique_ptr<Graph> graph)</div>
<div class="line"><a name="l02954"></a><span class="lineno"> 2954</span>  : m_Graph(<a class="code" href="namespacestd.xhtml">std</a>::move(graph)), m_Guid(<a class="code" href="namespacearm.xhtml">arm</a>::pipe::IProfilingService::GetNextGuid())</div>
<div class="line"><a name="l02955"></a><span class="lineno"> 2955</span> {</div>
<div class="line"><a name="l02956"></a><span class="lineno"> 2956</span> }</div>
<div class="line"><a name="l02957"></a><span class="lineno"> 2957</span>  </div>
<div class="line"><a name="l02958"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimized_network_impl.xhtml#a9a2e9e1491ef82892e7ea2308957ff44"> 2958</a></span> <a class="code" href="classarmnn_1_1_optimized_network_impl.xhtml#aef978fb468fb765301a95c7c0a936926">OptimizedNetworkImpl::OptimizedNetworkImpl</a>(std::unique_ptr<Graph> graph, <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a>& modelOptions)</div>
<div class="line"><a name="l02959"></a><span class="lineno"> 2959</span>  : m_Graph(<a class="code" href="namespacestd.xhtml">std</a>::move(graph)), m_Guid(<a class="code" href="namespacearm.xhtml">arm</a>::pipe::IProfilingService::GetNextGuid()), m_ModelOptions(modelOptions)</div>
<div class="line"><a name="l02960"></a><span class="lineno"> 2960</span> {</div>
<div class="line"><a name="l02961"></a><span class="lineno"> 2961</span> }</div>
<div class="line"><a name="l02962"></a><span class="lineno"> 2962</span>  </div>
<div class="line"><a name="l02963"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimized_network_impl.xhtml#a06d0b70cbc134b412ff7715d9db1617b"> 2963</a></span> <a class="code" href="classarmnn_1_1_optimized_network_impl.xhtml#a06d0b70cbc134b412ff7715d9db1617b">OptimizedNetworkImpl::~OptimizedNetworkImpl</a>()</div>
<div class="line"><a name="l02964"></a><span class="lineno"> 2964</span> {</div>
<div class="line"><a name="l02965"></a><span class="lineno"> 2965</span> }</div>
<div class="line"><a name="l02966"></a><span class="lineno"> 2966</span>  </div>
<div class="line"><a name="l02967"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_optimized_network.xhtml#a72032c65bf8b8acf09b564b7d80078c5"> 2967</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_i_optimized_network.xhtml#a72032c65bf8b8acf09b564b7d80078c5">IOptimizedNetwork::ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.xhtml">IStrategy</a> &strategy)<span class="keyword"> const</span></div>
<div class="line"><a name="l02968"></a><span class="lineno"> 2968</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l02969"></a><span class="lineno"> 2969</span>  <a class="code" href="classarmnn_1_1_i_optimized_network.xhtml#a374d52340ec8dc02a819acc20fb5aa92">pOptimizedNetworkImpl</a>->ExecuteStrategy(strategy);</div>
<div class="line"><a name="l02970"></a><span class="lineno"> 2970</span> }</div>
<div class="line"><a name="l02971"></a><span class="lineno"> 2971</span>  </div>
<div class="line"><a name="l02972"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimized_network_impl.xhtml#a72032c65bf8b8acf09b564b7d80078c5"> 2972</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_optimized_network_impl.xhtml#a72032c65bf8b8acf09b564b7d80078c5">OptimizedNetworkImpl::ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.xhtml">IStrategy</a> &strategy)<span class="keyword"> const</span></div>
<div class="line"><a name="l02973"></a><span class="lineno"> 2973</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l02974"></a><span class="lineno"> 2974</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> layer : <a class="code" href="classarmnn_1_1_optimized_network_impl.xhtml#a49800ad35ea869aa5569519760d3b339">GetGraph</a>())</div>
<div class="line"><a name="l02975"></a><span class="lineno"> 2975</span>  {</div>
<div class="line"><a name="l02976"></a><span class="lineno"> 2976</span>  layer->ExecuteStrategy(strategy);</div>
<div class="line"><a name="l02977"></a><span class="lineno"> 2977</span>  };</div>
<div class="line"><a name="l02978"></a><span class="lineno"> 2978</span> }</div>
<div class="line"><a name="l02979"></a><span class="lineno"> 2979</span>  </div>
<div class="line"><a name="l02980"></a><span class="lineno"> 2980</span> } <span class="comment">// namespace armnn</span></div>
</div><!-- fragment --></div><!-- contents -->
</div><!-- doc-content -->
<div class="ttc" id="anamespacearmnn_1_1optimizations_xhtml_a9c0a3a9a388a01bc21e20a16e70055f0"><div class="ttname"><a href="namespacearmnn_1_1optimizations.xhtml#a9c0a3a9a388a01bc21e20a16e70055f0">armnn::optimizations::InsertDebugToFileLayer</a></div><div class="ttdeci">OptimizeForType< Layer, AddDebugToFileImpl > InsertDebugToFileLayer</div><div class="ttdef"><b>Definition:</b> <a href="_add_debug_8hpp_source.xhtml#l00054">AddDebug.hpp:54</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_xhtml_a2ceda8d369e861997d558fac74d79c33"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#a2ceda8d369e861997d558fac74d79c33">armnn::Graph::InferTensorInfos</a></div><div class="ttdeci">void InferTensorInfos()</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00568">Graph.cpp:568</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a383e74ef080d4a81b8b371be4b840248"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a383e74ef080d4a81b8b371be4b840248">armnn::INetwork::AddConvolution2dLayer</a></div><div class="ttdeci">IConnectableLayer * AddConvolution2dLayer(const Convolution2dDescriptor &convolution2dDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a 2D convolution layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00271">Network.cpp:271</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_xhtml_a1a9d718b48612b5817a3c369f9fd71ee"><div class="ttname"><a href="namespacearmnn_1_1optimizations.xhtml#a1a9d718b48612b5817a3c369f9fd71ee">armnn::optimizations::OptimizeInverseConversionsFp16</a></div><div class="ttdeci">OptimizeForConnection< ConvertFp16ToFp32Layer, ConvertFp32ToFp16Layer, OptimizeInverseConversionsImpl > OptimizeInverseConversionsFp16</div><div class="ttdef"><b>Definition:</b> <a href="_optimize_inverse_conversions_8hpp_source.xhtml#l00042">OptimizeInverseConversions.hpp:42</a></div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_xhtml_a928f70dd19a2b0d3e9b75c27a2099c44"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a928f70dd19a2b0d3e9b75c27a2099c44">armnn::QuantizedLstmInputParams::GetInputToCellWeights</a></div><div class="ttdeci">const ConstTensor & GetInputToCellWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00068">QuantizedLstmParams.hpp:68</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_batch_normalization_layer_xhtml_a2dfc280952c7939299c304fcbf855b97"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.xhtml#a2dfc280952c7939299c304fcbf855b97">armnn::BatchNormalizationLayer::m_Mean</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_Mean</div><div class="ttdoc">A unique pointer to store Mean values.</div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8hpp_source.xhtml#l00019">BatchNormalizationLayer.hpp:19</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_acbf7c9a630f03ece800f807d946239ab"><div class="ttname"><a href="namespacearmnn.xhtml#acbf7c9a630f03ece800f807d946239ab">armnn::SelectTensorHandleStrategy</a></div><div class="ttdeci">OptimizationResult SelectTensorHandleStrategy(Graph &optGraph, BackendsMap &backends, TensorHandleFactoryRegistry &registry, bool importEnabled, bool exportEnabled, Optional< std::vector< std::string > & > errMessages)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01702">Network.cpp:1702</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_xhtml_a35b112e30c3eb153806a2a8c16d178e3"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#a35b112e30c3eb153806a2a8c16d178e3">armnn::LstmInputParams::m_CellToForgetWeights</a></div><div class="ttdeci">const ConstTensor * m_CellToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00049">LstmParams.hpp:49</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_xhtml"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.xhtml">armnn::OptimizerOptionsOpaque</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00260">INetwork.hpp:260</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a0f19808bdada45222e72edf7671a275a"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a0f19808bdada45222e72edf7671a275a">armnn::NetworkImpl::AddMergeLayer</a></div><div class="ttdeci">IConnectableLayer * AddMergeLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02516">Network.cpp:2516</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_ac6771c8752811fcfa91b3f0dee748144"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#ac6771c8752811fcfa91b3f0dee748144">armnn::INetwork::AddDepthwiseConvolution2dLayer</a></div><div class="ttdeci">IConnectableLayer * AddDepthwiseConvolution2dLayer(const DepthwiseConvolution2dDescriptor &convolution2dDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a 2D depthwise convolution layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00291">Network.cpp:291</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">armnn::LayerType::MemCopy</a></div><div class="ttdeci">@ MemCopy</div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_aee3a15d2fa419f50a8ac45e6d3c11e16"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#aee3a15d2fa419f50a8ac45e6d3c11e16">armnn::NetworkImpl::AddPrecompiledLayer</a></div><div class="ttdeci">IConnectableLayer * AddPrecompiledLayer(const PreCompiledDescriptor &preCompiledDescriptor, CompiledBlobPtr compiledBlobPtr, const Optional< BackendId > &backend, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02905">Network.cpp:2905</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_xhtml_a880db527e7dbf8d0de3fee52ba072482"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#a880db527e7dbf8d0de3fee52ba072482">armnn::Graph::GetProfiler</a></div><div class="ttdeci">const std::shared_ptr< IProfiler > & GetProfiler() const</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00656">Graph.cpp:656</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_backend_id_xhtml"><div class="ttname"><a href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_id_8hpp_source.xhtml#l00075">BackendId.hpp:75</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_xhtml_a5c25504e5efe52a17f5b0ca45753aaf0"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.xhtml#a5c25504e5efe52a17f5b0ca45753aaf0">armnn::OptimizerOptionsOpaque::GetDebugEnabled</a></div><div class="ttdeci">bool GetDebugEnabled() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00180">Network.cpp:180</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_ad97411f1fcb2c30c212483d8c673506f"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#ad97411f1fcb2c30c212483d8c673506f">armnn::NetworkImpl::AddResizeLayer</a></div><div class="ttdeci">IConnectableLayer * AddResizeLayer(const ResizeDescriptor &resizeDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02268">Network.cpp:2268</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a40067b05f30a3ab65568c826df7a8ea7"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a40067b05f30a3ab65568c826df7a8ea7">armnn::NetworkImpl::AddQuantizedLstmLayer</a></div><div class="ttdeci">IConnectableLayer * AddQuantizedLstmLayer(const QuantizedLstmInputParams &params, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02572">Network.cpp:2572</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_prelu_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_prelu_layer.xhtml">armnn::PreluLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_prelu_layer_8hpp_source.xhtml#l00014">PreluLayer.hpp:14</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a095a9b700dc857edc23c5d3bf088919f"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a095a9b700dc857edc23c5d3bf088919f">armnn::NetworkImpl::AddElementwiseUnaryLayer</a></div><div class="ttdeci">IConnectableLayer * AddElementwiseUnaryLayer(const ElementwiseUnaryDescriptor &elementwiseUnaryDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02092">Network.cpp:2092</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_elementwise_binary_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_elementwise_binary_layer.xhtml">armnn::ElementwiseBinaryLayer</a></div><div class="ttdoc">This layer represents a elementwiseBinary operation.</div><div class="ttdef"><b>Definition:</b> <a href="_elementwise_binary_layer_8hpp_source.xhtml#l00014">ElementwiseBinaryLayer.hpp:14</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_xhtml_af29f6883785691ef946d0c32b6d2f338"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#af29f6883785691ef946d0c32b6d2f338">armnn::OutputSlot::SetTensorHandleFactory</a></div><div class="ttdeci">void SetTensorHandleFactory(const ITensorHandleFactory::FactoryId &id)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00200">Layer.cpp:200</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">armnn::LayerType::Softmax</a></div><div class="ttdeci">@ Softmax</div></div>
<div class="ttc" id="aclassarmnn_1_1_i_optimized_network_xhtml_a880db527e7dbf8d0de3fee52ba072482"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.xhtml#a880db527e7dbf8d0de3fee52ba072482">armnn::IOptimizedNetwork::GetProfiler</a></div><div class="ttdeci">const std::shared_ptr< IProfiler > & GetProfiler() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00691">Network.cpp:691</a></div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_xhtml_a8ad69d6d46b4b12f47fbe6032c9b7a18"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a8ad69d6d46b4b12f47fbe6032c9b7a18">armnn::QuantizedLstmInputParams::GetRecurrentToForgetWeights</a></div><div class="ttdeci">const ConstTensor & GetRecurrentToForgetWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00083">QuantizedLstmParams.hpp:83</a></div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_xhtml_a339c19855613274cf0ea13921af9e5a3"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a339c19855613274cf0ea13921af9e5a3">armnn::QuantizedLstmInputParams::GetInputToForgetWeights</a></div><div class="ttdeci">const ConstTensor & GetInputToForgetWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00063">QuantizedLstmParams.hpp:63</a></div></div>
<div class="ttc" id="astructarmnn_1_1_backend_options_1_1_backend_option_xhtml_a9dd404db54065d13616225910db3dec4"><div class="ttname"><a href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml#a9dd404db54065d13616225910db3dec4">armnn::BackendOptions::BackendOption::GetValue</a></div><div class="ttdeci">Var GetValue() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00252">BackendOptions.hpp:252</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_xhtml_acc25db0641c1c22faf95af3bb49080c9"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#acc25db0641c1c22faf95af3bb49080c9">armnn::Graph::Iterator</a></div><div class="ttdeci">LayerList::const_iterator Iterator</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00053">Graph.hpp:53</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_scoped_tensor_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_scoped_tensor_handle.xhtml">armnn::ScopedTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.xhtml#l00115">TensorHandle.hpp:115</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_aff209afc1dc598da399e3e78617ce016a78d1be0baa31e083ae8da99aaedaf650"><div class="ttname"><a href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016a78d1be0baa31e083ae8da99aaedaf650">armnn::EdgeStrategy::DirectCompatibility</a></div><div class="ttdeci">@ DirectCompatibility</div><div class="ttdoc">No strategy has been defined. Used internally to verify integrity of optimizations.</div></div>
<div class="ttc" id="aclassarmnn_1_1_arg_min_max_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_arg_min_max_layer.xhtml">armnn::ArgMinMaxLayer</a></div><div class="ttdoc">This layer represents a ArgMinMax operation.</div><div class="ttdef"><b>Definition:</b> <a href="_arg_min_max_layer_8hpp_source.xhtml#l00014">ArgMinMaxLayer.hpp:14</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_aff209afc1dc598da399e3e78617ce016aec0fc0100c4fc1ce4eea230c3dc10360"><div class="ttname"><a href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016aec0fc0100c4fc1ce4eea230c3dc10360">armnn::EdgeStrategy::Undefined</a></div><div class="ttdeci">@ Undefined</div></div>
<div class="ttc" id="aclassarmnn_1_1_rank_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_rank_layer.xhtml">armnn::RankLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_rank_layer_8hpp_source.xhtml#l00013">RankLayer.hpp:13</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_ac2807505b850738bc8a1991ce669dd47"><div class="ttname"><a href="namespacearmnn.xhtml#ac2807505b850738bc8a1991ce669dd47">armnn::BackendRegistryInstance</a></div><div class="ttdeci">BackendRegistry & BackendRegistryInstance()</div><div class="ttdef"><b>Definition:</b> <a href="_backend_registry_8cpp_source.xhtml#l00015">BackendRegistry.cpp:15</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_af1853466264ac187607c96b501a74e2b"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#af1853466264ac187607c96b501a74e2b">armnn::NetworkImpl::AddDepthToSpaceLayer</a></div><div class="ttdeci">IConnectableLayer * AddDepthToSpaceLayer(const DepthToSpaceDescriptor &depthToSpaceDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02138">Network.cpp:2138</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimized_network_impl_xhtml_aef978fb468fb765301a95c7c0a936926"><div class="ttname"><a href="classarmnn_1_1_optimized_network_impl.xhtml#aef978fb468fb765301a95c7c0a936926">armnn::OptimizedNetworkImpl::OptimizedNetworkImpl</a></div><div class="ttdeci">OptimizedNetworkImpl(const OptimizedNetworkImpl &other, const ModelOptions &modelOptions)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02946">Network.cpp:2946</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a6c5376053e1f875776d7bc36fd0b7d45"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a6c5376053e1f875776d7bc36fd0b7d45">armnn::NetworkImpl::AddNormalizationLayer</a></div><div class="ttdeci">IConnectableLayer * AddNormalizationLayer(const NormalizationDescriptor &normalizationDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02191">Network.cpp:2191</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_xhtml_a8b394ff60ed829a91f07deac476f3db2"><div class="ttname"><a href="namespacearmnn_1_1optimizations.xhtml#a8b394ff60ed829a91f07deac476f3db2">armnn::optimizations::FoldPadIntoConvolution2d</a></div><div class="ttdeci">OptimizeForExclusiveConnection< PadLayer, Convolution2dLayer, pad_fold::FoldPadIntoConvolution2dImpl > FoldPadIntoConvolution2d</div><div class="ttdef"><b>Definition:</b> <a href="_fold_pad_into_layer2d_8hpp_source.xhtml#l00254">FoldPadIntoLayer2d.hpp:254</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_a1594bddc87d6477df300317658f566bb"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">armnn::Layer::GetNumOutputSlots</a></div><div class="ttdeci">unsigned int GetNumOutputSlots() const override</div><div class="ttdoc">Returns the number of connectable output slots.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00322">Layer.hpp:322</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a435ea88480b8645026dd45fd692663a1"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a435ea88480b8645026dd45fd692663a1">armnn::INetwork::AddFloorLayer</a></div><div class="ttdeci">IConnectableLayer * AddFloorLayer(const char *name=nullptr)</div><div class="ttdoc">Adds a floor layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00485">Network.cpp:485</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a9a9bcc00ae3d96343c93b437d6f77088"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a9a9bcc00ae3d96343c93b437d6f77088">armnn::NetworkImpl::AddBatchToSpaceNdLayer</a></div><div class="ttdeci">IConnectableLayer * AddBatchToSpaceNdLayer(const BatchToSpaceNdDescriptor &batchToSpaceNdDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02064">Network.cpp:2064</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div><div class="ttdeci">@ QAsymmU8</div></div>
<div class="ttc" id="aclassarmnn_1_1_constant_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_constant_layer.xhtml">armnn::ConstantLayer</a></div><div class="ttdoc">A layer that the constant data can be bound to.</div><div class="ttdef"><b>Definition:</b> <a href="_constant_layer_8hpp_source.xhtml#l00015">ConstantLayer.hpp:15</a></div></div>
<div class="ttc" id="astructarmnn_1_1_gather_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_gather_descriptor.xhtml">armnn::GatherDescriptor</a></div><div class="ttdoc">A GatherDescriptor for the GatherLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00932">Descriptors.hpp:932</a></div></div>
<div class="ttc" id="astructarmnn_1_1_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml">armnn::NormalizationDescriptor</a></div><div class="ttdoc">A NormalizationDescriptor for the NormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00757">Descriptors.hpp:757</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml_a71975fcec1464d639f1a78f73164d1bd"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a71975fcec1464d639f1a78f73164d1bd">armnn::TensorInfo::SetDataType</a></div><div class="ttdeci">void SetDataType(DataType type)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00199">Tensor.hpp:199</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_factory_xhtml_ac043d9a6e3f861fc6aa057ff95e56f18"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#ac043d9a6e3f861fc6aa057ff95e56f18">armnn::ITensorHandleFactory::DeferredFactoryId</a></div><div class="ttdeci">static const FactoryId DeferredFactoryId</div><div class="ttdoc">Use the workload factory to create the tensor handle.</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.xhtml#l00051">ITensorHandleFactory.hpp:51</a></div></div>
<div class="ttc" id="astructarmnn_1_1_transpose_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.xhtml">armnn::TransposeDescriptor</a></div><div class="ttdoc">A TransposeDescriptor for the TransposeLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01457">Descriptors.hpp:1457</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_backend_id_xhtml_af7445617163d3f07c47b92ae56c6cf8b"><div class="ttname"><a href="classarmnn_1_1_backend_id.xhtml#af7445617163d3f07c47b92ae56c6cf8b">armnn::BackendId::Get</a></div><div class="ttdeci">const std::string & Get() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_id_8hpp_source.xhtml#l00138">BackendId.hpp:138</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_xhtml_a8933eb842c6152f61535b69bd37c867e"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.xhtml#a8933eb842c6152f61535b69bd37c867e">armnn::OptimizerOptionsOpaque::GetDebugToFileEnabled</a></div><div class="ttdeci">bool GetDebugToFileEnabled() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00185">Network.cpp:185</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_xhtml"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml">armnn::OutputSlot</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00087">Layer.hpp:87</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_subgraph_view_selector_xhtml_ab9e8c2ce720efe33c8a20b8f74bb9d5f"><div class="ttname"><a href="classarmnn_1_1_subgraph_view_selector.xhtml#ab9e8c2ce720efe33c8a20b8f74bb9d5f">armnn::SubgraphViewSelector::Subgraphs</a></div><div class="ttdeci">std::vector< SubgraphView::SubgraphViewPtr > Subgraphs</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_selector_8hpp_source.xhtml#l00024">SubgraphViewSelector.hpp:24</a></div></div>
<div class="ttc" id="a_i_backend_internal_8hpp_xhtml"><div class="ttname"><a href="_i_backend_internal_8hpp.xhtml">IBackendInternal.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a1aa567f46c30960851c02847dc7b4215"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a1aa567f46c30960851c02847dc7b4215">armnn::INetwork::AddConstantLayer</a></div><div class="ttdeci">IConnectableLayer * AddConstantLayer(const ConstTensor &input, const char *name=nullptr)</div><div class="ttdoc">Adds a layer with no inputs and a single output, which always corresponds to the passed in constant t...</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00461">Network.cpp:461</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_xhtml_ad668074369437a111649f51296ff8959"><div class="ttname"><a href="namespacearmnn_1_1optimizations.xhtml#ad668074369437a111649f51296ff8959">armnn::optimizations::FusePermuteIntoConstLayer</a></div><div class="ttdeci">OptimizeForConnection< ConstantLayer, PermuteLayer, ConvertConstPermuteLayersToConstLayers > FusePermuteIntoConstLayer</div><div class="ttdef"><b>Definition:</b> <a href="_convert_const_permute_layers_to_const_layers_8hpp_source.xhtml#l00124">ConvertConstPermuteLayersToConstLayers.hpp:124</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_abf625e50a5eaeafce5b39580dc95a9d3"><div class="ttname"><a href="namespacearmnn.xhtml#abf625e50a5eaeafce5b39580dc95a9d3">armnn::InsertConvertFp32ToFp16LayersAfter</a></div><div class="ttdeci">std::vector< ConvertFp32ToFp16Layer * > InsertConvertFp32ToFp16LayersAfter(Graph &graph, Layer &layer)</div><div class="ttdef"><b>Definition:</b> <a href="_network_utils_8cpp_source.xhtml#l00079">NetworkUtils.cpp:79</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a72032c65bf8b8acf09b564b7d80078c5"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a72032c65bf8b8acf09b564b7d80078c5">armnn::NetworkImpl::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(IStrategy &strategy) const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02938">Network.cpp:2938</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a41fd7b56923d5625bac2cbfebed1a393"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a41fd7b56923d5625bac2cbfebed1a393">armnn::INetwork::AddTransposeConvolution2dLayer</a></div><div class="ttdeci">IConnectableLayer * AddTransposeConvolution2dLayer(const TransposeConvolution2dDescriptor &descriptor, const ConstTensor &weights, const Optional< ConstTensor > &biases, const char *name=nullptr)</div><div class="ttdoc">Adds a 2D transpose convolution layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00572">Network.cpp:572</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_batch_normalization_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.xhtml">armnn::BatchNormalizationLayer</a></div><div class="ttdoc">This layer represents a batch normalization operation.</div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8hpp_source.xhtml#l00015">BatchNormalizationLayer.hpp:15</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a674efcf6cbdb9e831d653ff0e821fb38"><div class="ttname"><a href="namespacearmnn.xhtml#a674efcf6cbdb9e831d653ff0e821fb38">armnn::IOptimizedNetworkPtr</a></div><div class="ttdeci">std::unique_ptr< IOptimizedNetwork, void(*)(IOptimizedNetwork *network)> IOptimizedNetworkPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00328">INetwork.hpp:328</a></div></div>
<div class="ttc" id="astructarmnn_1_1_elementwise_unary_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">armnn::ElementwiseUnaryDescriptor</a></div><div class="ttdoc">A ElementwiseUnaryDescriptor for the ElementwiseUnaryLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00129">Descriptors.hpp:129</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimize_for_type_xhtml"><div class="ttname"><a href="classarmnn_1_1_optimize_for_type.xhtml">armnn::OptimizeForType</a></div><div class="ttdef"><b>Definition:</b> <a href="_optimization_8hpp_source.xhtml#l00067">Optimization.hpp:67</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_ae913b4351b7027f37eb5657dd7867733"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#ae913b4351b7027f37eb5657dd7867733">armnn::NetworkImpl::AddPooling2dLayer</a></div><div class="ttdeci">IConnectableLayer * AddPooling2dLayer(const Pooling2dDescriptor &pooling2dDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02167">Network.cpp:2167</a></div></div>
<div class="ttc" id="astructarmnn_1_1_pad_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml">armnn::PadDescriptor</a></div><div class="ttdoc">A PadDescriptor for the PadLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01163">Descriptors.hpp:1163</a></div></div>
<div class="ttc" id="astructarmnn_1_1_softmax_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.xhtml">armnn::SoftmaxDescriptor</a></div><div class="ttdoc">A SoftmaxDescriptor for the SoftmaxLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00177">Descriptors.hpp:177</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_subgraph_view_selector_xhtml_a3730b0a6006f0d87f894a44e01869d90"><div class="ttname"><a href="classarmnn_1_1_subgraph_view_selector.xhtml#a3730b0a6006f0d87f894a44e01869d90">armnn::SubgraphViewSelector::SelectSubgraphs</a></div><div class="ttdeci">static Subgraphs SelectSubgraphs(Graph &graph, const LayerSelectorFunction &selector)</div><div class="ttdoc">Selects subgraphs from a graph based on the selector function and the algorithm.</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_selector_8cpp_source.xhtml#l00259">SubgraphViewSelector.cpp:259</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a383e74ef080d4a81b8b371be4b840248"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a383e74ef080d4a81b8b371be4b840248">armnn::NetworkImpl::AddConvolution2dLayer</a></div><div class="ttdeci">IConnectableLayer * AddConvolution2dLayer(const Convolution2dDescriptor &convolution2dDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02116">Network.cpp:2116</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a4353fa80ece13e3b1664881c27f5a67c"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">armnn::INetwork::pNetworkImpl</a></div><div class="ttdeci">std::unique_ptr< NetworkImpl > pNetworkImpl</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00849">INetwork.hpp:849</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">armnn::LayerType::ConvertFp32ToFp16</a></div><div class="ttdeci">@ ConvertFp32ToFp16</div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_xhtml_a5918588fa316cf4c23f1cf02c81ee706"><div class="ttname"><a href="namespacearmnn_1_1optimizations.xhtml#a5918588fa316cf4c23f1cf02c81ee706">armnn::optimizations::MoveTransposeUp</a></div><div class="ttdeci">OptimizeForConnection< Layer, TransposeLayer, MoveTransposeUpImpl > MoveTransposeUp</div><div class="ttdef"><b>Definition:</b> <a href="_move_transpose_up_8hpp_source.xhtml#l00083">MoveTransposeUp.hpp:83</a></div></div>
<div class="ttc" id="astructarmnn_1_1_backend_settings_xhtml_ae6d0506ac92f9ba9529d019847144aa3"><div class="ttname"><a href="structarmnn_1_1_backend_settings.xhtml#ae6d0506ac92f9ba9529d019847144aa3">armnn::BackendSettings::m_PreferredBackends</a></div><div class="ttdeci">BackendIdVector m_PreferredBackends</div><div class="ttdef"><b>Definition:</b> <a href="_backend_settings_8hpp_source.xhtml#l00020">BackendSettings.hpp:20</a></div></div>
<div class="ttc" id="astructarmnn_1_1_optimizer_options_xhtml_a9ef8ddbeee4b869e4c68eb2ed278b8d9"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.xhtml#a9ef8ddbeee4b869e4c68eb2ed278b8d9">armnn::OptimizerOptions::m_AllowExpandedDims</a></div><div class="ttdeci">bool m_AllowExpandedDims</div><div class="ttdoc">When calculating tensor sizes, dimensions of size == 1 will be ignored.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00253">INetwork.hpp:253</a></div></div>
<div class="ttc" id="astructarmnn_1_1_stack_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.xhtml">armnn::StackDescriptor</a></div><div class="ttdoc">A StackDescriptor for the StackLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01218">Descriptors.hpp:1218</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_aee282f8e3379d3f5bed1032d20884248"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#aee282f8e3379d3f5bed1032d20884248">armnn::INetwork::AddPooling3dLayer</a></div><div class="ttdeci">IConnectableLayer * AddPooling3dLayer(const Pooling3dDescriptor &pooling3dDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a 3D pooling layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00355">Network.cpp:355</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_fill_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_fill_layer.xhtml">armnn::FillLayer</a></div><div class="ttdoc">This layer represents a fill operation.</div><div class="ttdef"><b>Definition:</b> <a href="_fill_layer_8hpp_source.xhtml#l00013">FillLayer.hpp:13</a></div></div>
<div class="ttc" id="astructarmnn_1_1_slice_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.xhtml">armnn::SliceDescriptor</a></div><div class="ttdoc">A SliceDescriptor for the SliceLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01195">Descriptors.hpp:1195</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_input_slot_xhtml_a9effd325a6d512a3f8ff4bd207d53255"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#a9effd325a6d512a3f8ff4bd207d53255">armnn::InputSlot::GetConnectedOutputSlot</a></div><div class="ttdeci">const OutputSlot * GetConnectedOutputSlot() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00056">Layer.hpp:56</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a0aeb4e528cf6ba4b7caca14a94fbcafe"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a0aeb4e528cf6ba4b7caca14a94fbcafe">armnn::INetwork::AddDivisionLayer</a></div><div class="ttdeci">IConnectableLayer * AddDivisionLayer(const char *name=nullptr)</div><div class="ttdoc">Adds a division layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00501">Network.cpp:501</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_optimized_network_xhtml_a26794f014974a6f963a8925de07bffeb"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.xhtml#a26794f014974a6f963a8925de07bffeb">armnn::IOptimizedNetwork::SerializeToDot</a></div><div class="ttdeci">Status SerializeToDot(std::ostream &stream) const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00686">Network.cpp:686</a></div></div>
<div class="ttc" id="astructarmnn_1_1_backend_settings_xhtml_ad4ca579528452c669b45f3f35300fd4e"><div class="ttname"><a href="structarmnn_1_1_backend_settings.xhtml#ad4ca579528452c669b45f3f35300fd4e">armnn::BackendSettings::GetAvailablePreferredBackends</a></div><div class="ttdeci">BackendIdVector GetAvailablePreferredBackends() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_settings_8hpp_source.xhtml#l00067">BackendSettings.hpp:67</a></div></div>
<div class="ttc" id="astructarmnn_1_1_optimizer_options_xhtml_a0054f53e4e70bb39c000bcf240627b18"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.xhtml#a0054f53e4e70bb39c000bcf240627b18">armnn::OptimizerOptions::m_ExportEnabled</a></div><div class="ttdeci">bool m_ExportEnabled</div><div class="ttdoc">Enable Export.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00250">INetwork.hpp:250</a></div></div>
<div class="ttc" id="astructarmnn_1_1_optimizer_options_xhtml_a6e1a42622ca43dafc7ba8e684c016eb4"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.xhtml#a6e1a42622ca43dafc7ba8e684c016eb4">armnn::OptimizerOptions::m_ReduceFp32ToFp16</a></div><div class="ttdeci">bool m_ReduceFp32ToFp16</div><div class="ttdoc">Reduces all Fp32 operators in the model to Fp16 for faster processing.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00225">INetwork.hpp:225</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div><div class="ttdeci">@ Float16</div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_ab534dfa7f086a5f09fd9e3734ca6ab28"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#ab534dfa7f086a5f09fd9e3734ca6ab28">armnn::INetwork::CreateRaw</a></div><div class="ttdeci">static INetwork * CreateRaw(const NetworkOptions &networkOptions={})</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00647">Network.cpp:647</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_xhtml_a1f48ba622b76ea04d15c9b62f642bf08"><div class="ttname"><a href="classarmnn_1_1_optimizer.xhtml#a1f48ba622b76ea04d15c9b62f642bf08">armnn::Optimizer::Pass</a></div><div class="ttdeci">static void Pass(Graph &graph, const Optimizations &optimizations)</div><div class="ttdef"><b>Definition:</b> <a href="_optimizer_8cpp_source.xhtml#l00016">Optimizer.cpp:16</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_aeee4e55e6ad4fe12b2168f9fd1e88141"><div class="ttname"><a href="namespacearmnn.xhtml#aeee4e55e6ad4fe12b2168f9fd1e88141">armnn::ReturnWithError</a></div><div class="ttdeci">OptimizationResult ReturnWithError(OptimizationResult res, const Layer *layer, const BackendSettings &backendSettings, Optional< std::vector< std::string > & > errMessages)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00756">Network.cpp:756</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a></div><div class="ttdeci">@ Input</div></div>
<div class="ttc" id="anamespacearmnn_utils_1_1_filesystem_xhtml_a0477efb2c6f5b41fbfe937fef6db312d"><div class="ttname"><a href="namespacearmnn_utils_1_1_filesystem.xhtml#a0477efb2c6f5b41fbfe937fef6db312d">armnnUtils::Filesystem::CreateDirectory</a></div><div class="ttdeci">std::string CreateDirectory(std::string sPath)</div><div class="ttdoc">Returns full path to temporary folder.</div><div class="ttdef"><b>Definition:</b> <a href="_filesystem_8cpp_source.xhtml#l00047">Filesystem.cpp:47</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a2acbae0b9e98c94b843677484775c86a"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a2acbae0b9e98c94b843677484775c86a">armnn::INetwork::AddQLstmLayer</a></div><div class="ttdeci">IConnectableLayer * AddQLstmLayer(const QLstmDescriptor &descriptor, const LstmInputParams &params, const char *name=nullptr)</div><div class="ttdoc">Add a QLstm layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00609">Network.cpp:609</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a83b33973ca12078166b2436b313627b9"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a83b33973ca12078166b2436b313627b9">armnn::INetwork::AddLogSoftmaxLayer</a></div><div class="ttdeci">IConnectableLayer * AddLogSoftmaxLayer(const LogSoftmaxDescriptor &logSoftmaxDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a log softmax layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00455">Network.cpp:455</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a9173495a61a0092b5f38b855f02c3585"><div class="ttname"><a href="namespacearmnn.xhtml#a9173495a61a0092b5f38b855f02c3585">armnn::BackendsMap</a></div><div class="ttdeci">std::map< BackendId, std::unique_ptr< class IBackendInternal > > BackendsMap</div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.xhtml#l00271">Network.hpp:271</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_slice_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_slice_layer.xhtml">armnn::SliceLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_slice_layer_8hpp_source.xhtml#l00013">SliceLayer.hpp:13</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_ab8cf8f9fb6792e654c2d8d8382f6f01b"><div class="ttname"><a href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a></div><div class="ttdeci">int LayerBindingId</div><div class="ttdoc">Type of identifiers for bindable layers (inputs, outputs).</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00301">Types.hpp:301</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_factory_xhtml_a9c95f90eb40e31f629e0e2947b8bc6f9"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a9c95f90eb40e31f629e0e2947b8bc6f9">armnn::ITensorHandleFactory::LegacyFactoryId</a></div><div class="ttdeci">static const FactoryId LegacyFactoryId</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.xhtml#l00050">ITensorHandleFactory.hpp:50</a></div></div>
<div class="ttc" id="astructarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00036">Descriptors.hpp:36</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_adf57837d00e8352d9b5cc5ab1fb5fee9af6486a22a9bb11959bfae60a3e5174b1"><div class="ttname"><a href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9af6486a22a9bb11959bfae60a3e5174b1">armnn::ShapeInferenceMethod::ValidateOnly</a></div><div class="ttdeci">@ ValidateOnly</div><div class="ttdoc">Validate all output shapes.</div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_abd61d3e7ab67551c75bc219bbc4baeb5"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#abd61d3e7ab67551c75bc219bbc4baeb5">armnn::NetworkImpl::AddInstanceNormalizationLayer</a></div><div class="ttdeci">IConnectableLayer * AddInstanceNormalizationLayer(const InstanceNormalizationDescriptor &desc, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02278">Network.cpp:2278</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_handle_factory_registry_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">armnn::TensorHandleFactoryRegistry</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_factory_registry_8hpp_source.xhtml#l00023">TensorHandleFactoryRegistry.hpp:23</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_xhtml_ae1509d340bc981b11101c3316ee8afd6"><div class="ttname"><a href="namespacearmnn_1_1optimizations.xhtml#ae1509d340bc981b11101c3316ee8afd6">armnn::optimizations::OptimizeInverseConversionsFp32</a></div><div class="ttdeci">OptimizeForConnection< ConvertFp32ToFp16Layer, ConvertFp16ToFp32Layer, OptimizeInverseConversionsImpl > OptimizeInverseConversionsFp32</div><div class="ttdef"><b>Definition:</b> <a href="_optimize_inverse_conversions_8hpp_source.xhtml#l00044">OptimizeInverseConversions.hpp:44</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_xhtml_a56b81ca8ba4b4937e0787e4951f043fc"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#a56b81ca8ba4b4937e0787e4951f043fc">armnn::LstmInputParams::m_RecurrentToOutputWeights</a></div><div class="ttdeci">const ConstTensor * m_RecurrentToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00047">LstmParams.hpp:47</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_factory_xhtml_aef5b0db52e05e12463d094e509fc8b56"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#aef5b0db52e05e12463d094e509fc8b56">armnn::ITensorHandleFactory::SupportsMapUnmap</a></div><div class="ttdeci">virtual bool SupportsMapUnmap() const</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.xhtml#l00088">ITensorHandleFactory.hpp:88</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a></div><div class="ttdoc">Interface for a layer that is connectable to other layers via InputSlots and OutputSlots.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00068">INetwork.hpp:68</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a25563024ec66627ee83727244a53e944"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a25563024ec66627ee83727244a53e944">armnn::NetworkImpl::AddRankLayer</a></div><div class="ttdeci">IConnectableLayer * AddRankLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02257">Network.cpp:2257</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml">armnn::LstmDescriptor</a></div><div class="ttdoc">An LstmDescriptor for the LstmLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01069">Descriptors.hpp:1069</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_splitter_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_splitter_layer.xhtml">armnn::SplitterLayer</a></div><div class="ttdoc">This layer represents a split operation.</div><div class="ttdef"><b>Definition:</b> <a href="_splitter_layer_8hpp_source.xhtml#l00013">SplitterLayer.hpp:13</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_space_to_batch_nd_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_space_to_batch_nd_layer.xhtml">armnn::SpaceToBatchNdLayer</a></div><div class="ttdoc">This layer represents a SpaceToBatchNd operation.</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_layer_8hpp_source.xhtml#l00014">SpaceToBatchNdLayer.hpp:14</a></div></div>
<div class="ttc" id="astructarmnn_1_1_fully_connected_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.xhtml">armnn::FullyConnectedDescriptor</a></div><div class="ttdoc">A FullyConnectedDescriptor for the FullyConnectedLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00495">Descriptors.hpp:495</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_xhtml_a7e5c5771d741dd5473989047a9314728"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a7e5c5771d741dd5473989047a9314728">armnn::OutputSlot::SetTensorInfo</a></div><div class="ttdeci">void SetTensorInfo(const TensorInfo &tensorInfo) override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00087">Layer.cpp:87</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_xhtml_a58fbf98b638ebabb8bad26760f20a554"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.xhtml#a58fbf98b638ebabb8bad26760f20a554">armnn::OptimizerOptionsOpaque::OptimizerOptionsOpaque</a></div><div class="ttdeci">OptimizerOptionsOpaque()</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00048">Network.cpp:48</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_aff3fde909d22ed157046682e70129259"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#aff3fde909d22ed157046682e70129259">armnn::NetworkImpl::PrintGraph</a></div><div class="ttdeci">Status PrintGraph()</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02053">Network.cpp:2053</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_input_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_input_layer.xhtml">armnn::InputLayer</a></div><div class="ttdoc">A layer user-provided data can be bound to (e.g. inputs, outputs).</div><div class="ttdef"><b>Definition:</b> <a href="_input_layer_8hpp_source.xhtml#l00013">InputLayer.hpp:13</a></div></div>
<div class="ttc" id="astructarmnn_1_1_optimizer_options_xhtml_a71194277c60153a5f86539f5d39f01db"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.xhtml#a71194277c60153a5f86539f5d39f01db">armnn::OptimizerOptions::m_ModelOptions</a></div><div class="ttdeci">ModelOptions m_ModelOptions</div><div class="ttdoc">Enable Model Options.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00244">INetwork.hpp:244</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_ab46c7f5f4736d550ab0e5e05a0fff4a9"><div class="ttname"><a href="namespacearmnn.xhtml#ab46c7f5f4736d550ab0e5e05a0fff4a9">armnn::CalculateSlotOptionForOutput</a></div><div class="ttdeci">ITensorHandleFactory::FactoryId CalculateSlotOptionForOutput(BackendsMap &backends, OutputSlot &slot, TensorHandleFactoryRegistry &registry)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01453">Network.cpp:1453</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_factory_xhtml_ab17a7eb3afac8667ace153b0fe2f82fe"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#ab17a7eb3afac8667ace153b0fe2f82fe">armnn::ITensorHandleFactory::GetImportFlags</a></div><div class="ttdeci">virtual MemorySourceFlags GetImportFlags() const</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.xhtml#l00091">ITensorHandleFactory.hpp:91</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_backend_internal_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.xhtml">armnn::IBackendInternal</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8hpp_source.xhtml#l00077">IBackendInternal.hpp:77</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_ad4726f9b7dd11db250d2a494a8a39494"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#ad4726f9b7dd11db250d2a494a8a39494">armnn::NetworkImpl::AddMeanLayer</a></div><div class="ttdeci">IConnectableLayer * AddMeanLayer(const MeanDescriptor &meanDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02479">Network.cpp:2479</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_af457790132251cde6545072d879c7684"><div class="ttname"><a href="namespacearmnn.xhtml#af457790132251cde6545072d879c7684">armnn::ParseOptions</a></div><div class="ttdeci">void ParseOptions(const std::vector< BackendOptions > &options, BackendId backend, F f)</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00297">BackendOptions.hpp:297</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_optimized_network_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.xhtml">armnn::IOptimizedNetwork</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00862">INetwork.hpp:862</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_abd660675ae5a9df777dcdb30c50224f6"><div class="ttname"><a href="namespacearmnn.xhtml#abd660675ae5a9df777dcdb30c50224f6">armnn::AttemptBackendAssignment</a></div><div class="ttdeci">OptimizationResult AttemptBackendAssignment(BackendSettings &backendSettings, Graph &graph, Layer *layer, BackendId backend, DataType dataTypeIn, DataType dataTypeOut, const std::vector< BackendId > &availablePreferredBackends, std::string &reasonIfUnsupported, Optional< std::vector< std::string > & > errMessages)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00808">Network.cpp:808</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_a316670cb6b65902e017c32ca4bcb4b98"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a316670cb6b65902e017c32ca4bcb4b98">armnn::Layer::SetBackendId</a></div><div class="ttdeci">void SetBackendId(const BackendId &id) override</div><div class="ttdoc">Set the backend of the IConnectableLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00278">Layer.hpp:278</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_af776e284b9e2c4a3563abb8cf5e8ac5e"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#af776e284b9e2c4a3563abb8cf5e8ac5e">armnn::NetworkImpl::AddGatherNdLayer</a></div><div class="ttdeci">IConnectableLayer * AddGatherNdLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02511">Network.cpp:2511</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_xhtml_a4d0994094ec68328df73a00304fb4af6"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.xhtml#a4d0994094ec68328df73a00304fb4af6">armnn::OptimizerOptionsOpaque::GetShapeInferenceMethod</a></div><div class="ttdeci">armnn::ShapeInferenceMethod GetShapeInferenceMethod() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00200">Network.cpp:200</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_subgraph_view_xhtml_ae7f023c08e38703a2b8286013885b409"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.xhtml#ae7f023c08e38703a2b8286013885b409">armnn::SubgraphView::beginIConnectable</a></div><div class="ttdeci">IConnectableLayerIterator beginIConnectable()</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8cpp_source.xhtml#l00324">SubgraphView.cpp:324</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_ac39f2b15d34d3e2fc74d586fc3e26231"><div class="ttname"><a href="namespacearmnn.xhtml#ac39f2b15d34d3e2fc74d586fc3e26231">armnn::ApplyBackendOptimizations</a></div><div class="ttdeci">OptimizationResult ApplyBackendOptimizations(OptimizedNetworkImpl *optNetObjPtr, BackendSettings &backendSettings, BackendsMap &backends, const ModelOptions &modelOptions, Optional< std::vector< std::string > & > errMessages)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01240">Network.cpp:1240</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_ac1134a94265293ea7347180260f787d2"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#ac1134a94265293ea7347180260f787d2">armnn::INetwork::AddDetectionPostProcessLayer</a></div><div class="ttdeci">IConnectableLayer * AddDetectionPostProcessLayer(const DetectionPostProcessDescriptor &descriptor, const ConstTensor &anchors, const char *name=nullptr)</div><div class="ttdoc">Adds a Detection PostProcess layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00305">Network.cpp:305</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_af13795cdf49e63d8bc3cb409592cdb9d"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#af13795cdf49e63d8bc3cb409592cdb9d">armnn::INetwork::AddSubtractionLayer</a></div><div class="ttdeci">IConnectableLayer * AddSubtractionLayer(const char *name=nullptr)</div><div class="ttdoc">Adds a subtraction layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00508">Network.cpp:508</a></div></div>
<div class="ttc" id="astructarmnn_1_1_backend_settings_xhtml_aa09ac75b83067c5ed455f2bb35c7c98d"><div class="ttname"><a href="structarmnn_1_1_backend_settings.xhtml#aa09ac75b83067c5ed455f2bb35c7c98d">armnn::BackendSettings::m_SelectedBackends</a></div><div class="ttdeci">BackendIdSet m_SelectedBackends</div><div class="ttdef"><b>Definition:</b> <a href="_backend_settings_8hpp_source.xhtml#l00022">BackendSettings.hpp:22</a></div></div>
<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">armnn::BatchMatMulDescriptor</a></div><div class="ttdoc">A BatchMatMulDescriptor for the BatchMatMul operator.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01551">Descriptors.hpp:1551</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_q_lstm_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_q_lstm_layer.xhtml">armnn::QLstmLayer</a></div><div class="ttdoc">This layer represents a QLstm operation.</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.xhtml#l00079">QLstmLayer.hpp:79</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1"><div class="ttname"><a href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1">armnn::Compute::CpuAcc</a></div><div class="ttdeci">@ CpuAcc</div><div class="ttdoc">CPU Execution: NEON: ArmCompute.</div></div>
<div class="ttc" id="aclassarmnn_1_1_transpose_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_transpose_layer.xhtml">armnn::TransposeLayer</a></div><div class="ttdoc">This layer represents a transpose operation.</div><div class="ttdef"><b>Definition:</b> <a href="_transpose_layer_8hpp_source.xhtml#l00015">TransposeLayer.hpp:15</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b"><div class="ttname"><a href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::Compute::GpuAcc</a></div><div class="ttdeci">@ GpuAcc</div><div class="ttdoc">GPU Execution: OpenCL: ArmCompute.</div></div>
<div class="ttc" id="astructarmnn_1_1_resize_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml">armnn::ResizeDescriptor</a></div><div class="ttdoc">A ResizeDescriptor for the ResizeLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00952">Descriptors.hpp:952</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a8de6b047fcaff95df48dca683e1f3aa4"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a8de6b047fcaff95df48dca683e1f3aa4">armnn::INetwork::AddSliceLayer</a></div><div class="ttdeci">IConnectableLayer * AddSliceLayer(const SliceDescriptor &sliceDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a slice layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00381">Network.cpp:381</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a4bfd8dee1a0315b651e977c672c0847c"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a4bfd8dee1a0315b651e977c672c0847c">armnn::NetworkImpl::AddMinimumLayer</a></div><div class="ttdeci">IConnectableLayer * AddMinimumLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02220">Network.cpp:2220</a></div></div>
<div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml">armnn::StridedSliceDescriptor</a></div><div class="ttdoc">A StridedSliceDescriptor for the StridedSliceLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01270">Descriptors.hpp:1270</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_const_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00327">Tensor.hpp:327</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_xhtml_a4a9d678146f572808a361dbdc5489f38"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#a4a9d678146f572808a361dbdc5489f38">armnn::LstmInputParams::m_CellBias</a></div><div class="ttdeci">const ConstTensor * m_CellBias</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00053">LstmParams.hpp:53</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_xhtml_a2f9d1a13be2ac1c4213729a0ef181fc0"><div class="ttname"><a href="namespacearmnn_1_1optimizations.xhtml#a2f9d1a13be2ac1c4213729a0ef181fc0">armnn::optimizations::OptimizeInverseTransposes</a></div><div class="ttdeci">OptimizeForConnection< TransposeLayer, TransposeLayer, OptimizeInversePermutesImpl< TransposeLayer > > OptimizeInverseTransposes</div><div class="ttdef"><b>Definition:</b> <a href="_optimize_inverse_permutes_8hpp_source.xhtml#l00045">OptimizeInversePermutes.hpp:45</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_concat_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_concat_layer.xhtml">armnn::ConcatLayer</a></div><div class="ttdoc">This layer represents a merge operation.</div><div class="ttdef"><b>Definition:</b> <a href="_concat_layer_8hpp_source.xhtml#l00013">ConcatLayer.hpp:13</a></div></div>
<div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml">armnn::Pooling3dDescriptor</a></div><div class="ttdoc">A Pooling3dDescriptor for the Pooling3dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00419">Descriptors.hpp:419</a></div></div>
<div class="ttc" id="astructarmnn_1_1_reduce_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.xhtml">armnn::ReduceDescriptor</a></div><div class="ttdoc">A ReduceDescriptor for the REDUCE operators.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01505">Descriptors.hpp:1505</a></div></div>
<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_xhtml_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">armnn::TransposeConvolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01448">Descriptors.hpp:1448</a></div></div>
<div class="ttc" id="astructarmnn_1_1_backend_options_xhtml"><div class="ttname"><a href="structarmnn_1_1_backend_options.xhtml">armnn::BackendOptions</a></div><div class="ttdoc">Struct for the users to pass backend specific options.</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00022">BackendOptions.hpp:22</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_subgraph_view_xhtml_a308b86dbdd0a745cef76904674c9850f"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.xhtml#a308b86dbdd0a745cef76904674c9850f">armnn::SubgraphView::IConnectableLayerIterator</a></div><div class="ttdeci">IConnectableLayers::iterator IConnectableLayerIterator</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8hpp_source.xhtml#l00064">SubgraphView.hpp:64</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_multiplication_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_multiplication_layer.xhtml">armnn::MultiplicationLayer</a></div><div class="ttdoc">This layer represents a multiplication operation.</div><div class="ttdef"><b>Definition:</b> <a href="_multiplication_layer_8hpp_source.xhtml#l00014">MultiplicationLayer.hpp:14</a></div></div>
<div class="ttc" id="a_polymorphic_downcast_8hpp_xhtml"><div class="ttname"><a href="_polymorphic_downcast_8hpp.xhtml">PolymorphicDowncast.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00217">Layer.hpp:217</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gather_nd_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_gather_nd_layer.xhtml">armnn::GatherNdLayer</a></div><div class="ttdoc">This layer represents a GatherNd operator.</div><div class="ttdef"><b>Definition:</b> <a href="_gather_nd_layer_8hpp_source.xhtml#l00014">GatherNdLayer.hpp:14</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_xhtml_ad6f282c92535e2be398a9b350d4e2ee9"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.xhtml#ad6f282c92535e2be398a9b350d4e2ee9">armnn::OptimizerOptionsOpaque::GetAllowExpandedDims</a></div><div class="ttdeci">bool GetAllowExpandedDims() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00190">Network.cpp:190</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_xhtml_a9b18daea2e9f42386055326fd016519a"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#a9b18daea2e9f42386055326fd016519a">armnn::LstmInputParams::m_OutputLayerNormWeights</a></div><div class="ttdeci">const ConstTensor * m_OutputLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00060">LstmParams.hpp:60</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a5b6893cda5b69359a4244c06054da18f"><div class="ttname"><a href="namespacearmnn.xhtml#a5b6893cda5b69359a4244c06054da18f">armnn::ModelOptions</a></div><div class="ttdeci">std::vector< BackendOptions > ModelOptions</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00018">BackendOptions.hpp:18</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_aff209afc1dc598da399e3e78617ce016"><div class="ttname"><a href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016">armnn::EdgeStrategy</a></div><div class="ttdeci">EdgeStrategy</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.xhtml#l00104">ITensorHandleFactory.hpp:104</a></div></div>
<div class="ttc" id="a_timer_8hpp_xhtml"><div class="ttname"><a href="_timer_8hpp.xhtml">Timer.hpp</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_xhtml_a29f8d97b2d74f99c88298881cd1d825b"><div class="ttname"><a href="namespacearmnn_1_1optimizations.xhtml#a29f8d97b2d74f99c88298881cd1d825b">armnn::optimizations::SquashEqualReshapeSiblings</a></div><div class="ttdeci">OptimizeForConnection< Layer, ReshapeLayer, SquashEqualSiblingsImpl< ReshapeLayer > > SquashEqualReshapeSiblings</div><div class="ttdef"><b>Definition:</b> <a href="_squash_equal_siblings_8hpp_source.xhtml#l00070">SquashEqualSiblings.hpp:70</a></div></div>
<div class="ttc" id="astructarmnn_1_1_comparison_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_comparison_descriptor.xhtml">armnn::ComparisonDescriptor</a></div><div class="ttdoc">A ComparisonDescriptor for the ComparisonLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00089">Descriptors.hpp:89</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</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="aclassarmnn_1_1_network_impl_xhtml_aaf5e9645806f49d0fcd7ac07ba187f4e"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#aaf5e9645806f49d0fcd7ac07ba187f4e">armnn::NetworkImpl::AddGatherLayer</a></div><div class="ttdeci">IConnectableLayer * AddGatherLayer(const GatherDescriptor &gatherDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02505">Network.cpp:2505</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a7b74bd646ccf7ee6eaf3e23a958606ff"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a7b74bd646ccf7ee6eaf3e23a958606ff">armnn::NetworkImpl::AddBatchMatMulLayer</a></div><div class="ttdeci">IConnectableLayer * AddBatchMatMulLayer(const BatchMatMulDescriptor &desc, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02900">Network.cpp:2900</a></div></div>
<div class="ttc" id="astructarmnn_1_1_stand_in_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_stand_in_descriptor.xhtml">armnn::StandInDescriptor</a></div><div class="ttdoc">A StandInDescriptor for the StandIn layer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01248">Descriptors.hpp:1248</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_quantized_lstm_layer_xhtml_ad3c37b52145c3cf1b4856c0df008a468"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">armnn::QuantizedLstmLayer::m_QuantizedLstmParameters</a></div><div class="ttdeci">QuantizedLstmParameters m_QuantizedLstmParameters</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00049">QuantizedLstmLayer.hpp:49</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_subgraph_view_xhtml_ad7c7687cd3542e5cbb45e56f9a9456e7"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.xhtml#ad7c7687cd3542e5cbb45e56f9a9456e7">armnn::SubgraphView::IConnectableLayers</a></div><div class="ttdeci">std::list< IConnectableLayer * > IConnectableLayers</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8hpp_source.xhtml#l00062">SubgraphView.hpp:62</a></div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_xhtml_aba6d12c9d5671017b6711b80316069ff"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#aba6d12c9d5671017b6711b80316069ff">armnn::QuantizedLstmInputParams::GetInputGateBias</a></div><div class="ttdeci">const ConstTensor & GetInputGateBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00098">QuantizedLstmParams.hpp:98</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_af71383a4986faf7f0e339fbaf70e8957"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#af71383a4986faf7f0e339fbaf70e8957">armnn::INetwork::AddElementwiseBinaryLayer</a></div><div class="ttdeci">IConnectableLayer * AddElementwiseBinaryLayer(const ElementwiseBinaryDescriptor &elementwiseUnaryDescriptor, const char *name=nullptr)</div><div class="ttdoc">Add an ElementwiseBinary layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00313">Network.cpp:313</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_lstm_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_lstm_layer.xhtml">armnn::LstmLayer</a></div><div class="ttdoc">This layer represents a LSTM operation.</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00016">LstmLayer.hpp:16</a></div></div>
<div class="ttc" id="a_assert_8hpp_xhtml"><div class="ttname"><a href="_assert_8hpp.xhtml">Assert.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a0b426a3feffc76e66d73b5761806e899"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a0b426a3feffc76e66d73b5761806e899">armnn::INetwork::AddQuantizeLayer</a></div><div class="ttdeci">IConnectableLayer * AddQuantizeLayer(const char *name=nullptr)</div><div class="ttdoc">Add a quantize layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00533">Network.cpp:533</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a4bfd8dee1a0315b651e977c672c0847c"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a4bfd8dee1a0315b651e977c672c0847c">armnn::INetwork::AddMinimumLayer</a></div><div class="ttdeci">IConnectableLayer * AddMinimumLayer(const char *name=nullptr)</div><div class="ttdoc">Add a Minimum layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00544">Network.cpp:544</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_exception_xhtml_abf843cbb29dec939d0731e491bab6f70"><div class="ttname"><a href="classarmnn_1_1_exception.xhtml#abf843cbb29dec939d0731e491bab6f70">armnn::Exception::what</a></div><div class="ttdeci">virtual const char * what() const noexcept override</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8cpp_source.xhtml#l00032">Exceptions.cpp:32</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_abb59f6ba9988dae88e0f48e68d87fc32"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#abb59f6ba9988dae88e0f48e68d87fc32">armnn::NetworkImpl::AddMultiplicationLayer</a></div><div class="ttdeci">IConnectableLayer * AddMultiplicationLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02230">Network.cpp:2230</a></div></div>
<div class="ttc" id="a_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="_tensor_handle_8hpp.xhtml">TensorHandle.hpp</a></div></div>
<div class="ttc" id="astructarmnn_1_1_views_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml">armnn::ViewsDescriptor</a></div><div class="ttdoc">A ViewsDescriptor for the SplitterLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00244">Descriptors.hpp:244</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a39f1b38d89c4de186742eafcbb3b1319"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a39f1b38d89c4de186742eafcbb3b1319">armnn::NetworkImpl::AddAdditionLayer</a></div><div class="ttdeci">IConnectableLayer * AddAdditionLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02225">Network.cpp:2225</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">armnn::LayerType::Permute</a></div><div class="ttdeci">@ Permute</div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a83b33973ca12078166b2436b313627b9"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a83b33973ca12078166b2436b313627b9">armnn::NetworkImpl::AddLogSoftmaxLayer</a></div><div class="ttdeci">IConnectableLayer * AddLogSoftmaxLayer(const LogSoftmaxDescriptor &logSoftmaxDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02290">Network.cpp:2290</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a5c58d2b496d24e637f613af857aa3c3d"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a5c58d2b496d24e637f613af857aa3c3d">armnn::NetworkImpl::AddChannelShuffleLayer</a></div><div class="ttdeci">IConnectableLayer * AddChannelShuffleLayer(const ChannelShuffleDescriptor &channelShuffleDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02074">Network.cpp:2074</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_xhtml_a2387033802383edbdc95f9bbb12a707e"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#a2387033802383edbdc95f9bbb12a707e">armnn::Graph::begin</a></div><div class="ttdeci">Iterator begin()</div><div class="ttdoc">Returns iterator pointing to the beginning of the list. Lowercase for range-based for loops.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00169">Graph.hpp:169</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">armnn::LayerType::ConvertFp16ToFp32</a></div><div class="ttdeci">@ ConvertFp16ToFp32</div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_ac5c93cad39a690af862d49ffaec0d3c0"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#ac5c93cad39a690af862d49ffaec0d3c0">armnn::NetworkImpl::AddStridedSliceLayer</a></div><div class="ttdeci">IConnectableLayer * AddStridedSliceLayer(const StridedSliceDescriptor &stridedSliceDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02499">Network.cpp:2499</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_xhtml_a4fc55afb4885278ad1510b2c4307af76"><div class="ttname"><a href="namespacearmnn_1_1optimizations.xhtml#a4fc55afb4885278ad1510b2c4307af76">armnn::optimizations::AddBroadcastReshapeLayer</a></div><div class="ttdeci">OptimizeForType< Layer, AddBroadcastReshapeLayerImpl > AddBroadcastReshapeLayer</div><div class="ttdef"><b>Definition:</b> <a href="_add_broadcast_reshape_layer_8hpp_source.xhtml#l00094">AddBroadcastReshapeLayer.hpp:94</a></div></div>
<div class="ttc" id="a_workload_factory_8hpp_xhtml"><div class="ttname"><a href="_workload_factory_8hpp.xhtml">WorkloadFactory.hpp</a></div></div>
<div class="ttc" id="astructarmnn_1_1_pre_compiled_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pre_compiled_descriptor.xhtml">armnn::PreCompiledDescriptor</a></div><div class="ttdoc">A PreCompiledDescriptor for the PreCompiledLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01334">Descriptors.hpp:1334</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimized_network_impl_xhtml_a26794f014974a6f963a8925de07bffeb"><div class="ttname"><a href="classarmnn_1_1_optimized_network_impl.xhtml#a26794f014974a6f963a8925de07bffeb">armnn::OptimizedNetworkImpl::SerializeToDot</a></div><div class="ttdeci">virtual Status SerializeToDot(std::ostream &stream) const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00717">Network.cpp:717</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a1ec6b4c20ed294a96cf94c33c24caaf5"><div class="ttname"><a href="namespacearmnn.xhtml#a1ec6b4c20ed294a96cf94c33c24caaf5">armnn::CreateSupportedBackends</a></div><div class="ttdeci">BackendsMap CreateSupportedBackends(TensorHandleFactoryRegistry &handleFactoryRegistry, BackendSettings &backendSettings)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01221">Network.cpp:1221</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_channel_shuffle_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_channel_shuffle_layer.xhtml">armnn::ChannelShuffleLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_channel_shuffle_layer_8hpp_source.xhtml#l00011">ChannelShuffleLayer.hpp:11</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_xhtml_acad25c09a856d551c88b183f08edc2c1"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.xhtml#acad25c09a856d551c88b183f08edc2c1">armnn::OptimizerOptionsOpaque::SetShapeInferenceMethod</a></div><div class="ttdeci">void SetShapeInferenceMethod(armnn::ShapeInferenceMethod ShapeInferenceMethodType)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00140">Network.cpp:140</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_xhtml_a6cc2c46f05be1d3bf113d632aed1e496"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#a6cc2c46f05be1d3bf113d632aed1e496">armnn::Graph::VerifyConstantLayerSetTensorInfo</a></div><div class="ttdeci">void VerifyConstantLayerSetTensorInfo() const</div><div class="ttdoc">For each ConstantLayer in Graph, ensures TensorInfo is set on all output slots.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00545">Graph.cpp:545</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_ae913b4351b7027f37eb5657dd7867733"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#ae913b4351b7027f37eb5657dd7867733">armnn::INetwork::AddPooling2dLayer</a></div><div class="ttdeci">IConnectableLayer * AddPooling2dLayer(const Pooling2dDescriptor &pooling2dDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a 2D pooling layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00349">Network.cpp:349</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_activation_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_activation_layer.xhtml">armnn::ActivationLayer</a></div><div class="ttdoc">This layer represents an activation operation with the specified activation function.</div><div class="ttdef"><b>Definition:</b> <a href="_activation_layer_8hpp_source.xhtml#l00012">ActivationLayer.hpp:12</a></div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_xhtml_a715696f29b5376cbb8aaec0b77a092af"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a715696f29b5376cbb8aaec0b77a092af">armnn::QuantizedLstmInputParams::GetForgetGateBias</a></div><div class="ttdeci">const ConstTensor & GetForgetGateBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00103">QuantizedLstmParams.hpp:103</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_dequantize_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_dequantize_layer.xhtml">armnn::DequantizeLayer</a></div><div class="ttdoc">This layer dequantizes the input tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_dequantize_layer_8hpp_source.xhtml#l00013">DequantizeLayer.hpp:13</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_adf57837d00e8352d9b5cc5ab1fb5fee9"><div class="ttname"><a href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9">armnn::ShapeInferenceMethod</a></div><div class="ttdeci">ShapeInferenceMethod</div><div class="ttdoc">The ShapeInferenceMethod modify how the output shapes are treated.</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00232">Types.hpp:232</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_aa7427025a851113a492de0b68b23d22a"><div class="ttname"><a href="namespacearmnn.xhtml#aa7427025a851113a492de0b68b23d22a">armnn::MakeOptimizations</a></div><div class="ttdeci">Optimizer::Optimizations MakeOptimizations(Args &&... args)</div><div class="ttdef"><b>Definition:</b> <a href="_optimizer_8hpp_source.xhtml#l00043">Optimizer.hpp:43</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_permute_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_permute_layer.xhtml">armnn::PermuteLayer</a></div><div class="ttdoc">This layer represents a permutation operation.</div><div class="ttdef"><b>Definition:</b> <a href="_permute_layer_8hpp_source.xhtml#l00015">PermuteLayer.hpp:15</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_xhtml_aafc70d5af99400ff5ea7991825658b2f"><div class="ttname"><a href="namespacearmnn_1_1optimizations.xhtml#aafc70d5af99400ff5ea7991825658b2f">armnn::optimizations::MovePermuteUp</a></div><div class="ttdeci">OptimizeForConnection< Layer, PermuteLayer, MovePermuteUpImpl > MovePermuteUp</div><div class="ttdef"><b>Definition:</b> <a href="_move_permute_up_8hpp_source.xhtml#l00083">MovePermuteUp.hpp:83</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_xhtml_a9258f2763407b5dec4c88f7f6109cbd7"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.xhtml#a9258f2763407b5dec4c88f7f6109cbd7">armnn::OptimizerOptionsOpaque::SetImportEnabled</a></div><div class="ttdeci">void SetImportEnabled(bool ImportState)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00110">Network.cpp:110</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_logical_binary_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_logical_binary_layer.xhtml">armnn::LogicalBinaryLayer</a></div><div class="ttdoc">This layer represents a Logical Binary operation.</div><div class="ttdef"><b>Definition:</b> <a href="_logical_binary_layer_8hpp_source.xhtml#l00014">LogicalBinaryLayer.hpp:14</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_reshape_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_reshape_layer.xhtml">armnn::ReshapeLayer</a></div><div class="ttdoc">This layer represents a reshape operation.</div><div class="ttdef"><b>Definition:</b> <a href="_reshape_layer_8hpp_source.xhtml#l00015">ReshapeLayer.hpp:15</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_subgraph_view_xhtml_a8055e06b4f21d51fd8b4fc22ead2bdf0"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.xhtml#a8055e06b4f21d51fd8b4fc22ead2bdf0">armnn::SubgraphView::GetIConnectableLayers</a></div><div class="ttdeci">const IConnectableLayers & GetIConnectableLayers() const</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8cpp_source.xhtml#l00308">SubgraphView.cpp:308</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a5ee4a1cca55f69b31e625c786655ed1a"><div class="ttname"><a href="namespacearmnn.xhtml#a5ee4a1cca55f69b31e625c786655ed1a">armnn::RequiresCopy</a></div><div class="ttdeci">bool RequiresCopy(ITensorHandleFactory::FactoryId src, ITensorHandleFactory::FactoryId dst, TensorHandleFactoryRegistry &registry)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01348">Network.cpp:1348</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_aead50fe5965878e58cfdbe782736fa2a"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#aead50fe5965878e58cfdbe782736fa2a">armnn::INetwork::AddBatchMatMulLayer</a></div><div class="ttdeci">IConnectableLayer * AddBatchMatMulLayer(const BatchMatMulDescriptor &descriptor, const char *name=nullptr)</div><div class="ttdoc">Add a BatchMatMul layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00636">Network.cpp:636</a></div></div>
<div class="ttc" id="a_logging_8hpp_xhtml_a7b6ad073975f437ec38ca7d20154727f"><div class="ttname"><a href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a></div><div class="ttdeci">#define ARMNN_LOG(severity)</div><div class="ttdef"><b>Definition:</b> <a href="_logging_8hpp_source.xhtml#l00212">Logging.hpp:212</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_optimized_network_xhtml_a604654b453ec291a503d62a0beb849d3"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.xhtml#a604654b453ec291a503d62a0beb849d3">armnn::IOptimizedNetwork::GetNumOutputs</a></div><div class="ttdeci">size_t GetNumOutputs() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00706">Network.cpp:706</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_ac6771c8752811fcfa91b3f0dee748144"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#ac6771c8752811fcfa91b3f0dee748144">armnn::NetworkImpl::AddDepthwiseConvolution2dLayer</a></div><div class="ttdeci">IConnectableLayer * AddDepthwiseConvolution2dLayer(const DepthwiseConvolution2dDescriptor &convolution2dDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02144">Network.cpp:2144</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_xhtml_a6e30c7b3451da3ea9cf4259fb602e6e6"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#a6e30c7b3451da3ea9cf4259fb602e6e6">armnn::LstmInputParams::m_InputToOutputWeights</a></div><div class="ttdeci">const ConstTensor * m_InputToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00043">LstmParams.hpp:43</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_aa42e128b41f4e966fc901f9bf42c5a1c"><div class="ttname"><a href="namespacearmnn.xhtml#aa42e128b41f4e966fc901f9bf42c5a1c">armnn::Optimize</a></div><div class="ttdeci">IOptimizedNetworkPtr Optimize(const INetwork &network, const std::vector< BackendId > &backendPreferences, const IDeviceSpec &deviceSpec, const OptimizerOptionsOpaque &options=OptimizerOptionsOpaque(), 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#l02003">Network.cpp:2003</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_log_softmax_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_log_softmax_layer.xhtml">armnn::LogSoftmaxLayer</a></div><div class="ttdoc">This layer represents a log softmax operation.</div><div class="ttdef"><b>Definition:</b> <a href="_log_softmax_layer_8hpp_source.xhtml#l00014">LogSoftmaxLayer.hpp:14</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_aa51350bdd4976f3dd5a4e9d00a906b2c"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#aa51350bdd4976f3dd5a4e9d00a906b2c">armnn::NetworkImpl::AddActivationLayer</a></div><div class="ttdeci">IConnectableLayer * AddActivationLayer(const ActivationDescriptor &activationDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02179">Network.cpp:2179</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_xhtml_a5a864f9b972da52f3ca9028f1c8ee44a"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.xhtml#a5a864f9b972da52f3ca9028f1c8ee44a">armnn::OptimizerOptionsOpaque::SetAllowExpandedDims</a></div><div class="ttdeci">void SetAllowExpandedDims(bool ExpandedDimsAllowed)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00145">Network.cpp:145</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_ae0cfae1ea51669892608a1a060d24fa0"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#ae0cfae1ea51669892608a1a060d24fa0">armnn::INetwork::AddReduceLayer</a></div><div class="ttdeci">IConnectableLayer * AddReduceLayer(const ReduceDescriptor &reduceDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a reduce layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00437">Network.cpp:437</a></div></div>
<div class="ttc" id="a_tensor_handle_factory_registry_8hpp_xhtml"><div class="ttname"><a href="_tensor_handle_factory_registry_8hpp.xhtml">TensorHandleFactoryRegistry.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_detection_post_process_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_detection_post_process_layer.xhtml">armnn::DetectionPostProcessLayer</a></div><div class="ttdoc">This layer represents a detection postprocess operator.</div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_layer_8hpp_source.xhtml#l00016">DetectionPostProcessLayer.hpp:16</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_xhtml_ace7a1f1f1041b412b7d8ef82b95ff352"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#ace7a1f1f1041b412b7d8ef82b95ff352">armnn::LstmInputParams::m_ForgetGateBias</a></div><div class="ttdeci">const ConstTensor * m_ForgetGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00052">LstmParams.hpp:52</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a1aa567f46c30960851c02847dc7b4215"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a1aa567f46c30960851c02847dc7b4215">armnn::NetworkImpl::AddConstantLayer</a></div><div class="ttdeci">IConnectableLayer * AddConstantLayer(const ConstTensor &input, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02296">Network.cpp:2296</a></div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_xhtml_a63e34dd3e41262e750f7a54de8ca81d1"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a63e34dd3e41262e750f7a54de8ca81d1">armnn::QuantizedLstmInputParams::GetRecurrentToCellWeights</a></div><div class="ttdeci">const ConstTensor & GetRecurrentToCellWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00088">QuantizedLstmParams.hpp:88</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a357aca04172ed22fa32e5a69122b0fec"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a357aca04172ed22fa32e5a69122b0fec">armnn::INetwork::AddDequantizeLayer</a></div><div class="ttdeci">IConnectableLayer * AddDequantizeLayer(const char *name=nullptr)</div><div class="ttdoc">Adds a Dequantize layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00299">Network.cpp:299</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a55bd1bb29076dc45bb335e7322781463"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a55bd1bb29076dc45bb335e7322781463">armnn::INetwork::Destroy</a></div><div class="ttdeci">static void Destroy(INetwork *network)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00657">Network.cpp:657</a></div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_xhtml_a1691bf16df2cabf1a4b82aecbb021f31"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a1691bf16df2cabf1a4b82aecbb021f31">armnn::QuantizedLstmInputParams::GetOutputGateBias</a></div><div class="ttdeci">const ConstTensor & GetOutputGateBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00113">QuantizedLstmParams.hpp:113</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_ab71c4df72f6587aea671acaacd6a0d9a"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#ab71c4df72f6587aea671acaacd6a0d9a">armnn::NetworkImpl::AddConvertFp32ToFp16Layer</a></div><div class="ttdeci">IConnectableLayer * AddConvertFp32ToFp16Layer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02127">Network.cpp:2127</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.xhtml#l00006">01_00_quick_start.dox:6</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_factory_xhtml_a73fbbe9df988c8cabddea04a8dcb9323"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a73fbbe9df988c8cabddea04a8dcb9323">armnn::ITensorHandleFactory::GetCapabilities</a></div><div class="ttdeci">virtual std::vector< Capability > GetCapabilities(const IConnectableLayer *layer, const IConnectableLayer *connectedLayer, CapabilityClass capabilityClass)</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.xhtml#l00093">ITensorHandleFactory.hpp:93</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a57590d7777211673d2052f702f0b07a1"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a57590d7777211673d2052f702f0b07a1">armnn::INetwork::AddMaximumLayer</a></div><div class="ttdeci">IConnectableLayer * AddMaximumLayer(const char *name=nullptr)</div><div class="ttdoc">Add a Maximum layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00515">Network.cpp:515</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_strategy_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_strategy.xhtml">armnn::IStrategy</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_strategy_8hpp_source.xhtml#l00016">IStrategy.hpp:16</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_xhtml_ad0b8c32bb5381f4cc999093ba3b98b43"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#ad0b8c32bb5381f4cc999093ba3b98b43">armnn::LstmInputParams::m_CellLayerNormWeights</a></div><div class="ttdeci">const ConstTensor * m_CellLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00059">LstmParams.hpp:59</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_backend_options_1_1_var_xhtml_a7ef596a0c429a1a74709cf14d8fa15d2"><div class="ttname"><a href="classarmnn_1_1_backend_options_1_1_var.xhtml#a7ef596a0c429a1a74709cf14d8fa15d2">armnn::BackendOptions::Var::ToString</a></div><div class="ttdeci">std::string ToString()</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00124">BackendOptions.hpp:124</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_xhtml_afe204ca375b74e9a72640c9227918d0a"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#afe204ca375b74e9a72640c9227918d0a">armnn::LstmInputParams::m_CellToOutputWeights</a></div><div class="ttdeci">const ConstTensor * m_CellToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00050">LstmParams.hpp:50</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_subgraph_view_xhtml_a0761bda72b62372d1495cbe9771a75a9"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.xhtml#a0761bda72b62372d1495cbe9771a75a9">armnn::SubgraphView::endIConnectable</a></div><div class="ttdeci">IConnectableLayerIterator endIConnectable()</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8cpp_source.xhtml#l00329">SubgraphView.cpp:329</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_xhtml_a70dc46a7e4105cf24df5a5bb58ae07a5"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.xhtml#a70dc46a7e4105cf24df5a5bb58ae07a5">armnn::OptimizerOptionsOpaque::GetReduceFp32ToFp16</a></div><div class="ttdeci">bool GetReduceFp32ToFp16() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00170">Network.cpp:170</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a5210b3df77e7a51ab369b577de821aa2"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a5210b3df77e7a51ab369b577de821aa2">armnn::INetwork::AddStackLayer</a></div><div class="ttdeci">IConnectableLayer * AddStackLayer(const StackDescriptor &descriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a stack layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00591">Network.cpp:591</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_xhtml_a226cef3d775179e25ee35d231f4e8fae"><div class="ttname"><a href="namespacearmnn_1_1optimizations.xhtml#a226cef3d775179e25ee35d231f4e8fae">armnn::optimizations::ConvertConstantsFloatToHalf</a></div><div class="ttdeci">ConvertConstants< Float32ToFloat16, IsFloat16Layer > ConvertConstantsFloatToHalf</div><div class="ttdef"><b>Definition:</b> <a href="_convert_constants_8hpp_source.xhtml#l00099">ConvertConstants.hpp:99</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a2d936beb0fcf3c5d22ff332f0812b05e"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a2d936beb0fcf3c5d22ff332f0812b05e">armnn::INetwork::INetwork</a></div><div class="ttdeci">INetwork(NetworkOptions networkOptions={})</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00044">Network.cpp:44</a></div></div>
<div class="ttc" id="astructarmnn_1_1_backend_options_1_1_backend_option_xhtml_a9a98946a64f3893b085f650932c9dfee"><div class="ttname"><a href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml#a9a98946a64f3893b085f650932c9dfee">armnn::BackendOptions::BackendOption::GetName</a></div><div class="ttdeci">std::string GetName() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00251">BackendOptions.hpp:251</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a070307e9ee0f7969f7d4320145d1dddb"><div class="ttname"><a href="namespacearmnn.xhtml#a070307e9ee0f7969f7d4320145d1dddb">armnn::ReportWarning</a></div><div class="ttdeci">void ReportWarning(const std::string &warningMessage, Optional< std::vector< std::string > & > warningMessages)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00744">Network.cpp:744</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_xhtml_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::OutputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00092">Layer.cpp:92</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd">armnn::BoostLogSeverityMapping::warning</a></div><div class="ttdeci">@ warning</div></div>
<div class="ttc" id="aclassarmnn_1_1_optimization_views_xhtml"><div class="ttname"><a href="classarmnn_1_1_optimization_views.xhtml">armnn::OptimizationViews</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_optimization_views_8hpp_source.xhtml#l00017">OptimizationViews.hpp:17</a></div></div>
<div class="ttc" id="astructarmnn_1_1_batch_to_space_nd_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml">armnn::BatchToSpaceNdDescriptor</a></div><div class="ttdoc">A BatchToSpaceNdDescriptor for the BatchToSpaceNdLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00863">Descriptors.hpp:863</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_aee3a15d2fa419f50a8ac45e6d3c11e16"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#aee3a15d2fa419f50a8ac45e6d3c11e16">armnn::INetwork::AddPrecompiledLayer</a></div><div class="ttdeci">IConnectableLayer * AddPrecompiledLayer(const PreCompiledDescriptor &preCompiledDescriptor, CompiledBlobPtr compiledBlobPtr, const Optional< BackendId > &backend, const char *name=nullptr)</div><div class="ttdoc">Adds a Precompiled layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00361">Network.cpp:361</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optional_reference_switch_xhtml_a77c7d528ac063d870b8c8426ec81c1c3"><div class="ttname"><a href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">armnn::OptionalReferenceSwitch< std::is_reference< T >::value, T >::value</a></div><div class="ttdeci">const T & value() const</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00146">Optional.hpp:146</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_runtime_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_runtime_exception.xhtml">armnn::RuntimeException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00120">Exceptions.hpp:120</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_transpose_convolution2d_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_transpose_convolution2d_layer.xhtml">armnn::TransposeConvolution2dLayer</a></div><div class="ttdoc">This layer represents a 2D transpose convolution operation.</div><div class="ttdef"><b>Definition:</b> <a href="_transpose_convolution2d_layer_8hpp_source.xhtml#l00015">TransposeConvolution2dLayer.hpp:15</a></div></div>
<div class="ttc" id="astructarmnn_1_1_space_to_depth_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.xhtml">armnn::SpaceToDepthDescriptor</a></div><div class="ttdoc">A SpaceToDepthDescriptor for the SpaceToDepthLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01042">Descriptors.hpp:1042</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_abb59f6ba9988dae88e0f48e68d87fc32"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#abb59f6ba9988dae88e0f48e68d87fc32">armnn::INetwork::AddMultiplicationLayer</a></div><div class="ttdeci">IConnectableLayer * AddMultiplicationLayer(const char *name=nullptr)</div><div class="ttdoc">Adds a multiplication layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00409">Network.cpp:409</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_xhtml_aba7b0ca6192b8b58ecd517a82b4f378e"><div class="ttname"><a href="namespacearmnn_1_1optimizations.xhtml#aba7b0ca6192b8b58ecd517a82b4f378e">armnn::optimizations::SquashEqualTransposeSiblings</a></div><div class="ttdeci">OptimizeForConnection< Layer, TransposeLayer, SquashEqualSiblingsImpl< TransposeLayer > > SquashEqualTransposeSiblings</div><div class="ttdef"><b>Definition:</b> <a href="_squash_equal_siblings_8hpp_source.xhtml#l00069">SquashEqualSiblings.hpp:69</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a0aeb4e528cf6ba4b7caca14a94fbcafe"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a0aeb4e528cf6ba4b7caca14a94fbcafe">armnn::NetworkImpl::AddDivisionLayer</a></div><div class="ttdeci">IConnectableLayer * AddDivisionLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02469">Network.cpp:2469</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_xhtml_a05c07a263bb054a828db2fe3f841e31f"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.xhtml#a05c07a263bb054a828db2fe3f841e31f">armnn::OptimizerOptionsOpaque::~OptimizerOptionsOpaque</a></div><div class="ttdeci">~OptimizerOptionsOpaque()</div></div>
<div class="ttc" id="a_backend_settings_8hpp_xhtml"><div class="ttname"><a href="_backend_settings_8hpp.xhtml">BackendSettings.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_transpose_convolution2d_layer_xhtml_a6266a703017d7296f87cc4923df2d725"><div class="ttname"><a href="classarmnn_1_1_transpose_convolution2d_layer.xhtml#a6266a703017d7296f87cc4923df2d725">armnn::TransposeConvolution2dLayer::m_Weight</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_Weight</div><div class="ttdoc">A unique pointer to store weight values.</div><div class="ttdef"><b>Definition:</b> <a href="_transpose_convolution2d_layer_8hpp_source.xhtml#l00019">TransposeConvolution2dLayer.hpp:19</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_switch_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_switch_layer.xhtml">armnn::SwitchLayer</a></div><div class="ttdoc">This layer calculates both true and false outputs for input.</div><div class="ttdef"><b>Definition:</b> <a href="_switch_layer_8hpp_source.xhtml#l00013">SwitchLayer.hpp:13</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_xhtml_aafbd4b469e47160017f409df8d077184"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#aafbd4b469e47160017f409df8d077184">armnn::Graph::SubstituteSubgraph</a></div><div class="ttdeci">void SubstituteSubgraph(SubgraphView &subgraph, IConnectableLayer *substituteLayer)</div><div class="ttdoc">Substitutes the given sub-graph with either a new layer or a new sub-graph.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00435">Graph.cpp:435</a></div></div>
<div class="ttc" id="a_device_spec_8hpp_xhtml"><div class="ttname"><a href="_device_spec_8hpp.xhtml">DeviceSpec.hpp</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a4de71c3661093e5c4ae7775114f43413"><div class="ttname"><a href="namespacearmnn.xhtml#a4de71c3661093e5c4ae7775114f43413">armnn::NetworkOptions</a></div><div class="ttdeci">std::vector< BackendOptions > NetworkOptions</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00016">BackendOptions.hpp:16</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimize_for_connection_xhtml"><div class="ttname"><a href="classarmnn_1_1_optimize_for_connection.xhtml">armnn::OptimizeForConnection</a></div><div class="ttdef"><b>Definition:</b> <a href="_optimization_8hpp_source.xhtml#l00118">Optimization.hpp:118</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gather_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_gather_layer.xhtml">armnn::GatherLayer</a></div><div class="ttdoc">This layer represents a Gather operator.</div><div class="ttdef"><b>Definition:</b> <a href="_gather_layer_8hpp_source.xhtml#l00014">GatherLayer.hpp:14</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a6c5376053e1f875776d7bc36fd0b7d45"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a6c5376053e1f875776d7bc36fd0b7d45">armnn::INetwork::AddNormalizationLayer</a></div><div class="ttdeci">IConnectableLayer * AddNormalizationLayer(const NormalizationDescriptor &normalizationDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a normalization layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00375">Network.cpp:375</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a2b8ec686784330e8f20e4444f1ed7e98"><div class="ttname"><a href="namespacearmnn.xhtml#a2b8ec686784330e8f20e4444f1ed7e98">armnn::GetLayerInOutDatatype</a></div><div class="ttdeci">std::vector< DataType > GetLayerInOutDatatype(const Layer *layer)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00977">Network.cpp:977</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_af5790069aa11fd1c5bb2e17cecb06528"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#af5790069aa11fd1c5bb2e17cecb06528">armnn::NetworkImpl::AddOutputLayer</a></div><div class="ttdeci">IConnectableLayer * AddOutputLayer(LayerBindingId id, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02235">Network.cpp:2235</a></div></div>
<div class="ttc" id="astructarmnn_1_1_optimizer_options_xhtml_a1b1892da2aaf7eaedaa38671d56b7f19"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.xhtml#a1b1892da2aaf7eaedaa38671d56b7f19">armnn::OptimizerOptions::m_ProfilingEnabled</a></div><div class="ttdeci">bool m_ProfilingEnabled</div><div class="ttdoc">Enable profiling dump of the optimizer phase.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00247">INetwork.hpp:247</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a19bad0cc50526ca9f4f84a688812cdf5"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a19bad0cc50526ca9f4f84a688812cdf5">armnn::NetworkImpl::AddSpaceToDepthLayer</a></div><div class="ttdeci">IConnectableLayer * AddSpaceToDepthLayer(const SpaceToDepthDescriptor &spaceToDepthDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02317">Network.cpp:2317</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_a9a97cb6d32661a57fc33bd29b8e41ff4"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a9a97cb6d32661a57fc33bd29b8e41ff4">armnn::Layer::GetNameStr</a></div><div class="ttdeci">const std::string & GetNameStr() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00227">Layer.hpp:227</a></div></div>
<div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml">armnn::DetectionPostProcessDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00701">Descriptors.hpp:701</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_merge_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_merge_layer.xhtml">armnn::MergeLayer</a></div><div class="ttdoc">This layer dequantizes the input tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_merge_layer_8hpp_source.xhtml#l00013">MergeLayer.hpp:13</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_xhtml_a31da1ead6794dd64571afdd0b6efc771"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#a31da1ead6794dd64571afdd0b6efc771">armnn::LstmInputParams::m_InputToForgetWeights</a></div><div class="ttdeci">const ConstTensor * m_InputToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00041">LstmParams.hpp:41</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_aab976306ba3424cbc0c7ea33417d718d"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#aab976306ba3424cbc0c7ea33417d718d">armnn::NetworkImpl::AddElementwiseBinaryLayer</a></div><div class="ttdeci">IConnectableLayer * AddElementwiseBinaryLayer(const ElementwiseBinaryDescriptor &elementwiseBinaryDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02086">Network.cpp:2086</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a72b9d30e9d555bb5c35460b62faedf0d"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a72b9d30e9d555bb5c35460b62faedf0d">armnn::INetwork::AddSpaceToBatchNdLayer</a></div><div class="ttdeci">IConnectableLayer * AddSpaceToBatchNdLayer(const SpaceToBatchNdDescriptor &spaceToBatchNdDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a space to batch layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00473">Network.cpp:473</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_xhtml_ab45dae688fc5d8983727abffa4389003"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#ab45dae688fc5d8983727abffa4389003">armnn::Graph::end</a></div><div class="ttdeci">Iterator end()</div><div class="ttdoc">Returns iterator pointing to the end of the list. Lowercase for range-based for loops.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00171">Graph.hpp:171</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_xhtml_a3f80ddd1f76ed4ad599e0d1a00659ee5"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a3f80ddd1f76ed4ad599e0d1a00659ee5">armnn::OutputSlot::SetEdgeStrategy</a></div><div class="ttdeci">void SetEdgeStrategy(unsigned int connectionIndex, EdgeStrategy strategy)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00210">Layer.cpp:210</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimized_network_impl_xhtml_a49800ad35ea869aa5569519760d3b339"><div class="ttname"><a href="classarmnn_1_1_optimized_network_impl.xhtml#a49800ad35ea869aa5569519760d3b339">armnn::OptimizedNetworkImpl::GetGraph</a></div><div class="ttdeci">Graph & GetGraph()</div><div class="ttdef"><b>Definition:</b> <a href="_optimized_network_impl_8hpp_source.xhtml#l00027">OptimizedNetworkImpl.hpp:27</a></div></div>
<div class="ttc" id="astructarmnn_1_1_fill_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_fill_descriptor.xhtml">armnn::FillDescriptor</a></div><div class="ttdoc">A FillDescriptor for the FillLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00913">Descriptors.hpp:913</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a43de8213707de0e76d80a32cd4b9b482"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a43de8213707de0e76d80a32cd4b9b482">armnn::INetwork::AddConvolution3dLayer</a></div><div class="ttdeci">IConnectableLayer * AddConvolution3dLayer(const Convolution3dDescriptor &convolution3dDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a 3D convolution layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00277">Network.cpp:277</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdoc">When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00479">Types.hpp:479</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a0b49aa352b84d572942185ce72cef751"><div class="ttname"><a href="namespacearmnn.xhtml#a0b49aa352b84d572942185ce72cef751">armnn::Half</a></div><div class="ttdeci">half_float::half Half</div><div class="ttdef"><b>Definition:</b> <a href="_half_8hpp_source.xhtml#l00022">Half.hpp:22</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a2090bf6670b73c69309ed592068aa3af"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a2090bf6670b73c69309ed592068aa3af">armnn::NetworkImpl::AddConvertFp16ToFp32Layer</a></div><div class="ttdeci">IConnectableLayer * AddConvertFp16ToFp32Layer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02122">Network.cpp:2122</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_abc0660dc440c8a285b456c9ef6383c26"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">armnn::Layer::GetNumInputSlots</a></div><div class="ttdeci">unsigned int GetNumInputSlots() const override</div><div class="ttdoc">Returns the number of connectable input slots.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00321">Layer.hpp:321</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimization_views_xhtml_a58dc3ea86870112f745b2a1f7dca55e9"><div class="ttname"><a href="classarmnn_1_1_optimization_views.xhtml#a58dc3ea86870112f745b2a1f7dca55e9">armnn::OptimizationViews::Validate</a></div><div class="ttdeci">bool Validate(const SubgraphView &originalSubgraph) const</div><div class="ttdef"><b>Definition:</b> <a href="_optimization_views_8cpp_source.xhtml#l00011">OptimizationViews.cpp:11</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_detection_post_process_layer_xhtml_a6dc8f4e1c0a2109b2a8412251c2cf7b0"><div class="ttname"><a href="classarmnn_1_1_detection_post_process_layer.xhtml#a6dc8f4e1c0a2109b2a8412251c2cf7b0">armnn::DetectionPostProcessLayer::m_Anchors</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_Anchors</div><div class="ttdoc">A unique pointer to store Anchor values.</div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_layer_8hpp_source.xhtml#l00020">DetectionPostProcessLayer.hpp:20</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_aaff51346dadec2c1430abf007fed4cc9"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#aaff51346dadec2c1430abf007fed4cc9">armnn::INetwork::AddL2NormalizationLayer</a></div><div class="ttdeci">IConnectableLayer * AddL2NormalizationLayer(const L2NormalizationDescriptor &desc, const char *name=nullptr)</div><div class="ttdoc">Adds an L2 normalization layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00449">Network.cpp:449</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_af13795cdf49e63d8bc3cb409592cdb9d"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#af13795cdf49e63d8bc3cb409592cdb9d">armnn::NetworkImpl::AddSubtractionLayer</a></div><div class="ttdeci">IConnectableLayer * AddSubtractionLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02474">Network.cpp:2474</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_xhtml_ae83131e16df1cace69395a5f99bc5ecb"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#ae83131e16df1cace69395a5f99bc5ecb">armnn::LstmInputParams::m_RecurrentToForgetWeights</a></div><div class="ttdeci">const ConstTensor * m_RecurrentToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00045">LstmParams.hpp:45</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_ac1134a94265293ea7347180260f787d2"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#ac1134a94265293ea7347180260f787d2">armnn::NetworkImpl::AddDetectionPostProcessLayer</a></div><div class="ttdeci">IConnectableLayer * AddDetectionPostProcessLayer(const DetectionPostProcessDescriptor &descriptor, const ConstTensor &anchors, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02151">Network.cpp:2151</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot & GetOutputSlot(unsigned int index=0) const override</div><div class="ttdoc">Get the const output slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00326">Layer.hpp:326</a></div></div>
<div class="ttc" id="astructarmnn_1_1_backend_settings_xhtml_ae4f9f2c5e3b5cf694315f66cde5b33f0"><div class="ttname"><a href="structarmnn_1_1_backend_settings.xhtml#ae4f9f2c5e3b5cf694315f66cde5b33f0">armnn::BackendSettings::IsCpuRefUsed</a></div><div class="ttdeci">bool IsCpuRefUsed() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_settings_8hpp_source.xhtml#l00061">BackendSettings.hpp:61</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_xhtml_a4c8ca1fa6bed9a68a78ab00f02d0fb38"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.xhtml#a4c8ca1fa6bed9a68a78ab00f02d0fb38">armnn::OptimizerOptionsOpaque::SetReduceFp32ToFp16</a></div><div class="ttdeci">void SetReduceFp32ToFp16(bool ReduceFp32ToFp16State)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00135">Network.cpp:135</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_backend_internal_xhtml_ac5d107c5672f446603b6e6b92bce6244"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.xhtml#ac5d107c5672f446603b6e6b92bce6244">armnn::IBackendInternal::GetHandleFactoryPreferences</a></div><div class="ttdeci">virtual std::vector< ITensorHandleFactory::FactoryId > GetHandleFactoryPreferences() const</div><div class="ttdoc">(Optional) Returns a vector of supported TensorHandleFactory ids in preference order.</div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8cpp_source.xhtml#l00143">IBackendInternal.cpp:143</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a435ea88480b8645026dd45fd692663a1"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a435ea88480b8645026dd45fd692663a1">armnn::NetworkImpl::AddFloorLayer</a></div><div class="ttdeci">IConnectableLayer * AddFloorLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02323">Network.cpp:2323</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_ab067ba4ee9416d93abb8a52f3dc8feba"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#ab067ba4ee9416d93abb8a52f3dc8feba">armnn::INetwork::AddTransposeLayer</a></div><div class="ttdeci">IConnectableLayer * AddTransposeLayer(const TransposeDescriptor &transposeDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a transpose layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00580">Network.cpp:580</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a74894d085e78ff80f45fc09dd2381f08"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a74894d085e78ff80f45fc09dd2381f08">armnn::INetwork::AddStandInLayer</a></div><div class="ttdeci">IConnectableLayer * AddStandInLayer(const StandInDescriptor &descriptor, const char *name=nullptr)</div><div class="ttdoc">Add a stand-in layer for a type unknown to the Arm NN framework.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00597">Network.cpp:597</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_subtraction_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_subtraction_layer.xhtml">armnn::SubtractionLayer</a></div><div class="ttdoc">This layer represents a subtraction operation.</div><div class="ttdef"><b>Definition:</b> <a href="_subtraction_layer_8hpp_source.xhtml#l00014">SubtractionLayer.hpp:14</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a39f1b38d89c4de186742eafcbb3b1319"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a39f1b38d89c4de186742eafcbb3b1319">armnn::INetwork::AddAdditionLayer</a></div><div class="ttdeci">IConnectableLayer * AddAdditionLayer(const char *name=nullptr)</div><div class="ttdoc">Adds an addition layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00402">Network.cpp:402</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_xhtml_a4527a67076f983e8db3496207d120fb5"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.xhtml#a4527a67076f983e8db3496207d120fb5">armnn::OptimizerOptionsOpaque::GetProfilingEnabled</a></div><div class="ttdeci">bool GetProfilingEnabled() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00155">Network.cpp:155</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_normalization_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_normalization_layer.xhtml">armnn::NormalizationLayer</a></div><div class="ttdoc">This layer represents a normalization operation.</div><div class="ttdef"><b>Definition:</b> <a href="_normalization_layer_8hpp_source.xhtml#l00013">NormalizationLayer.hpp:13</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a6e2df484ecc65bc82712590b96e04df4"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a6e2df484ecc65bc82712590b96e04df4">armnn::INetwork::AddPadLayer</a></div><div class="ttdeci">IConnectableLayer * AddPadLayer(const PadDescriptor &padDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a fully pad layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00527">Network.cpp:527</a></div></div>
<div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">armnn::DepthwiseConvolution2dDescriptor</a></div><div class="ttdoc">A DepthwiseConvolution2dDescriptor for the DepthwiseConvolution2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00647">Descriptors.hpp:647</a></div></div>
<div class="ttc" id="astructarmnn_1_1_mean_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.xhtml">armnn::MeanDescriptor</a></div><div class="ttdoc">A MeanDescriptor for the MeanLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01139">Descriptors.hpp:1139</a></div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_parameters_xhtml_a281954ff495d27f7a29e42a98768c670"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a281954ff495d27f7a29e42a98768c670">armnn::QuantizedLstmParameters::m_InputToInputWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_InputToInputWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8).</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00017">QuantizedLstmLayer.hpp:17</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_abd61d3e7ab67551c75bc219bbc4baeb5"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#abd61d3e7ab67551c75bc219bbc4baeb5">armnn::INetwork::AddInstanceNormalizationLayer</a></div><div class="ttdeci">IConnectableLayer * AddInstanceNormalizationLayer(const InstanceNormalizationDescriptor &desc, const char *name=nullptr)</div><div class="ttdoc">Adds an instance normalization layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00443">Network.cpp:443</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a11f49d84f0cfd8df65f4d5206cd43b6d"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a11f49d84f0cfd8df65f4d5206cd43b6d">armnn::NetworkImpl::AddPermuteLayer</a></div><div class="ttdeci">IConnectableLayer * AddPermuteLayer(const PermuteDescriptor &permuteDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02161">Network.cpp:2161</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_aee282f8e3379d3f5bed1032d20884248"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#aee282f8e3379d3f5bed1032d20884248">armnn::NetworkImpl::AddPooling3dLayer</a></div><div class="ttdeci">IConnectableLayer * AddPooling3dLayer(const Pooling3dDescriptor &pooling3dDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02173">Network.cpp:2173</a></div></div>
<div class="ttc" id="astructarmnn_1_1_optimizer_options_xhtml_afc07add3304c3d79293acb881c2168df"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.xhtml#afc07add3304c3d79293acb881c2168df">armnn::OptimizerOptions::m_DebugToFile</a></div><div class="ttdeci">bool m_DebugToFile</div><div class="ttdoc">Pass debug data to separate output files for easier troubleshooting.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00231">INetwork.hpp:231</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_xhtml_a2559eecf0b1317953b2ec24e83d0f0b4"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.xhtml#a2559eecf0b1317953b2ec24e83d0f0b4">armnn::OptimizerOptionsOpaque::SetDebugEnabled</a></div><div class="ttdeci">void SetDebugEnabled(bool DebugState)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00125">Network.cpp:125</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_strided_slice_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_strided_slice_layer.xhtml">armnn::StridedSliceLayer</a></div><div class="ttdoc">This layer represents a strided slice operation.</div><div class="ttdef"><b>Definition:</b> <a href="_strided_slice_layer_8hpp_source.xhtml#l00013">StridedSliceLayer.hpp:13</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_xhtml_a50b562d4a4edc64d7d8abcca056f0b8c"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a50b562d4a4edc64d7d8abcca056f0b8c">armnn::OutputSlot::GetConnections</a></div><div class="ttdeci">const std::vector< InputSlot * > & GetConnections() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00132">Layer.hpp:132</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_device_spec_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_device_spec.xhtml">armnn::IDeviceSpec</a></div><div class="ttdoc">Device specific knowledge to be passed to the optimizer.</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00291">Types.hpp:291</a></div></div>
<div class="ttc" id="a_optimizer_8hpp_xhtml"><div class="ttname"><a href="_optimizer_8hpp.xhtml">Optimizer.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_optimized_network_xhtml_aa1b6106cb25d38e369fd647f4324cebe"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.xhtml#aa1b6106cb25d38e369fd647f4324cebe">armnn::IOptimizedNetwork::GetGuid</a></div><div class="ttdeci">arm::pipe::ProfilingGuid GetGuid() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00696">Network.cpp:696</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_ad8e15c530c929ab823d89ae9fd2d3f11"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">armnn::Layer::GetType</a></div><div class="ttdeci">LayerType GetType() const override</div><div class="ttdoc">Returns the armnn::LayerType of this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00273">Layer.hpp:273</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_optimized_network_xhtml_a58ee539cf95c1e99fe4f54ef6e8bbd05"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.xhtml#a58ee539cf95c1e99fe4f54ef6e8bbd05">armnn::IOptimizedNetwork::Destroy</a></div><div class="ttdeci">static void Destroy(IOptimizedNetwork *network)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00676">Network.cpp:676</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_aa6c1c42ea44777302e87ce0fad5ac510"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#aa6c1c42ea44777302e87ce0fad5ac510">armnn::NetworkImpl::AddInputLayer</a></div><div class="ttdeci">IConnectableLayer * AddInputLayer(LayerBindingId id, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02059">Network.cpp:2059</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a0f19808bdada45222e72edf7671a275a"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a0f19808bdada45222e72edf7671a275a">armnn::INetwork::AddMergeLayer</a></div><div class="ttdeci">IConnectableLayer * AddMergeLayer(const char *name=nullptr)</div><div class="ttdoc">Adds a merge layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00397">Network.cpp:397</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_af362583b7b4c471c434cb0fdb86c2ae2"><div class="ttname"><a href="namespacearmnn.xhtml#af362583b7b4c471c434cb0fdb86c2ae2">armnn::CompiledBlobPtr</a></div><div class="ttdeci">std::unique_ptr< void, CompiledBlobDeleter > CompiledBlobPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00331">INetwork.hpp:331</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_aea1059833739d3dccebb3a03ec35a1e6"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#aea1059833739d3dccebb3a03ec35a1e6">armnn::NetworkImpl::AddConcatLayer</a></div><div class="ttdeci">IConnectableLayer * AddConcatLayer(const ConcatDescriptor &concatDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02110">Network.cpp:2110</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a3cf1cee98e0ed8b54263ec7279f6ec69"><div class="ttname"><a href="namespacearmnn.xhtml#a3cf1cee98e0ed8b54263ec7279f6ec69">armnn::ReportError</a></div><div class="ttdeci">void ReportError(const std::string &errorMessage, Optional< std::vector< std::string > & > errorMessages)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00732">Network.cpp:732</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_optimized_network_xhtml_a374d52340ec8dc02a819acc20fb5aa92"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.xhtml#a374d52340ec8dc02a819acc20fb5aa92">armnn::IOptimizedNetwork::pOptimizedNetworkImpl</a></div><div class="ttdeci">std::unique_ptr< OptimizedNetworkImpl > pOptimizedNetworkImpl</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00907">INetwork.hpp:907</a></div></div>
<div class="ttc" id="a_profiling_8hpp_xhtml_a5ccc65e2c464ac05ce311fdae7ede03a"><div class="ttname"><a href="_profiling_8hpp.xhtml#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8hpp_source.xhtml#l00220">Profiling.hpp:220</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_subgraph_view_xhtml"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.xhtml">armnn::SubgraphView</a></div><div class="ttdoc">The SubgraphView class represents a subgraph of a Graph.</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8hpp_source.xhtml#l00031">SubgraphView.hpp:31</a></div></div>
<div class="ttc" id="astructarmnn_1_1_l2_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_descriptor.xhtml">armnn::L2NormalizationDescriptor</a></div><div class="ttdoc">A L2NormalizationDescriptor for the L2NormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00797">Descriptors.hpp:797</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_xhtml_a49e11acda22742cbaf6f1b259ead0d84"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#a49e11acda22742cbaf6f1b259ead0d84">armnn::LstmInputParams::m_InputToCellWeights</a></div><div class="ttdeci">const ConstTensor * m_InputToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00042">LstmParams.hpp:42</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a11f49d84f0cfd8df65f4d5206cd43b6d"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a11f49d84f0cfd8df65f4d5206cd43b6d">armnn::INetwork::AddPermuteLayer</a></div><div class="ttdeci">IConnectableLayer * AddPermuteLayer(const PermuteDescriptor &permuteDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a permute layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00337">Network.cpp:337</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_shape_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_shape_layer.xhtml">armnn::ShapeLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_shape_layer_8hpp_source.xhtml#l00013">ShapeLayer.hpp:13</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div><div class="ttdeci">@ Float32</div></div>
<div class="ttc" id="aclassarmnn_1_1_i_workload_factory_xhtml_a74dc9ec1a223eab8b072368b2dacee87"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a74dc9ec1a223eab8b072368b2dacee87">armnn::IWorkloadFactory::IsLayerSupported</a></div><div class="ttdeci">static bool IsLayerSupported(const BackendId &backendId, const IConnectableLayer &layer, Optional< DataType > dataType, std::string &outReasonIfUnsupported)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01548">WorkloadFactory.cpp:1548</a></div></div>
<div class="ttc" id="anamespacearm_xhtml"><div class="ttname"><a href="namespacearm.xhtml">arm</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_registry_8hpp_source.xhtml#l00015">BackendRegistry.hpp:15</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_lstm_layer_xhtml_a8838b317568861294a9df608221f185e"><div class="ttname"><a href="classarmnn_1_1_lstm_layer.xhtml#a8838b317568861294a9df608221f185e">armnn::LstmLayer::m_BasicParameters</a></div><div class="ttdeci">LstmBasicParameters m_BasicParameters</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00020">LstmLayer.hpp:20</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a10c50bc964cc8cc559eebcd7df5a8af3a5a3e0409dae79a7940aade8d399dcd5d"><div class="ttname"><a href="namespacearmnn.xhtml#a10c50bc964cc8cc559eebcd7df5a8af3a5a3e0409dae79a7940aade8d399dcd5d">armnn::CapabilityClass::FallbackImportDisabled</a></div><div class="ttdeci">@ FallbackImportDisabled</div></div>
<div class="ttc" id="aclassarmnn_1_1_quantized_lstm_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.xhtml">armnn::QuantizedLstmLayer</a></div><div class="ttdoc">This layer represents a QuantizedLstm operation.</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00045">QuantizedLstmLayer.hpp:45</a></div></div>
<div class="ttc" id="astructarmnn_1_1_channel_shuffle_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.xhtml">armnn::ChannelShuffleDescriptor</a></div><div class="ttdoc">A ChannelShuffleDescriptor for the ChannelShuffle operator.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01529">Descriptors.hpp:1529</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_optimized_network_xhtml_aff3fde909d22ed157046682e70129259"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.xhtml#aff3fde909d22ed157046682e70129259">armnn::IOptimizedNetwork::PrintGraph</a></div><div class="ttdeci">Status PrintGraph()</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00681">Network.cpp:681</a></div></div>
<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml">armnn::Convolution3dDescriptor</a></div><div class="ttdoc">A Convolution3dDescriptor for the Convolution3dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00576">Descriptors.hpp:576</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_batch_to_space_nd_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_batch_to_space_nd_layer.xhtml">armnn::BatchToSpaceNdLayer</a></div><div class="ttdoc">This layer represents a BatchToSpaceNd operation.</div><div class="ttdef"><b>Definition:</b> <a href="_batch_to_space_nd_layer_8hpp_source.xhtml#l00013">BatchToSpaceNdLayer.hpp:13</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimized_network_impl_xhtml"><div class="ttname"><a href="classarmnn_1_1_optimized_network_impl.xhtml">armnn::OptimizedNetworkImpl</a></div><div class="ttdef"><b>Definition:</b> <a href="_optimized_network_impl_8hpp_source.xhtml#l00011">OptimizedNetworkImpl.hpp:11</a></div></div>
<div class="ttc" id="aclassarmnn_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="anamespacearmnn_1_1optimizations_xhtml_a86d19da62b6cfed3928f6fe7026f22fa"><div class="ttname"><a href="namespacearmnn_1_1optimizations.xhtml#a86d19da62b6cfed3928f6fe7026f22fa">armnn::optimizations::Fp32NetworkToFp16Converter</a></div><div class="ttdeci">OptimizeForType< Layer, ConvertFp32NetworkToFp16Impl > Fp32NetworkToFp16Converter</div><div class="ttdef"><b>Definition:</b> <a href="_convert_fp32_network_to_fp16_8hpp_source.xhtml#l00087">ConvertFp32NetworkToFp16.hpp:87</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a></div><div class="ttdeci">@ Constant</div></div>
<div class="ttc" id="aclassarmnn_1_1_profiler_manager_xhtml_a93857080c2523bf3395e7aa7e6024d5c"><div class="ttname"><a href="classarmnn_1_1_profiler_manager.xhtml#a93857080c2523bf3395e7aa7e6024d5c">armnn::ProfilerManager::GetInstance</a></div><div class="ttdeci">static ProfilerManager & GetInstance()</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8cpp_source.xhtml#l00593">Profiling.cpp:593</a></div></div>
<div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml">armnn::Convolution2dDescriptor</a></div><div class="ttdoc">A Convolution2dDescriptor for the Convolution2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00522">Descriptors.hpp:522</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_ac7dca3e9f2ab2f2c64b42fc59a67188a"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#ac7dca3e9f2ab2f2c64b42fc59a67188a">armnn::INetwork::AddComparisonLayer</a></div><div class="ttdeci">IConnectableLayer * AddComparisonLayer(const ComparisonDescriptor &comparisonDescriptor, const char *name=nullptr)</div><div class="ttdoc">Add a Comparison layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00257">Network.cpp:257</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a74894d085e78ff80f45fc09dd2381f08"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a74894d085e78ff80f45fc09dd2381f08">armnn::NetworkImpl::AddStandInLayer</a></div><div class="ttdeci">IConnectableLayer * AddStandInLayer(const StandInDescriptor &descriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02566">Network.cpp:2566</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_afdb1d37740e7a083b625d669588b6a0e"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#afdb1d37740e7a083b625d669588b6a0e">armnn::Layer::GetBackendId</a></div><div class="ttdeci">const BackendId & GetBackendId() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00277">Layer.hpp:277</a></div></div>
<div class="ttc" id="a_layer_8hpp_xhtml"><div class="ttname"><a href="_layer_8hpp.xhtml">Layer.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_xhtml_ad1bbee7bf5f93b792675886f57d3ebe0"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#ad1bbee7bf5f93b792675886f57d3ebe0">armnn::Graph::AddCompatibilityLayers</a></div><div class="ttdeci">void AddCompatibilityLayers(std::map< BackendId, std::unique_ptr< class IBackendInternal >> &backends, TensorHandleFactoryRegistry &registry)</div><div class="ttdoc">Modifies the graph in-place, removing edges connecting layers using different compute devices,...</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00303">Graph.cpp:303</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a2acbae0b9e98c94b843677484775c86a"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a2acbae0b9e98c94b843677484775c86a">armnn::NetworkImpl::AddQLstmLayer</a></div><div class="ttdeci">IConnectableLayer * AddQLstmLayer(const QLstmDescriptor &descriptor, const LstmInputParams &params, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02610">Network.cpp:2610</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_optimized_network_xhtml_a32eecbed1d4cd2602204a2ab3f5f249e"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.xhtml#a32eecbed1d4cd2602204a2ab3f5f249e">armnn::IOptimizedNetwork::IOptimizedNetwork</a></div><div class="ttdeci">IOptimizedNetwork(const IOptimizedNetwork &other, const ModelOptions &modelOptions)</div><div class="ttdoc">Creates a copy of the IOptimizedNetwork.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00662">Network.cpp:662</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_instance_normalization_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_instance_normalization_layer.xhtml">armnn::InstanceNormalizationLayer</a></div><div class="ttdoc">This layer represents an instance normalization operation.</div><div class="ttdef"><b>Definition:</b> <a href="_instance_normalization_layer_8hpp_source.xhtml#l00013">InstanceNormalizationLayer.hpp:13</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a72f7f58c37d9d856fcb648b5fa68cf59"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a72f7f58c37d9d856fcb648b5fa68cf59">armnn::INetwork::AddCastLayer</a></div><div class="ttdeci">IConnectableLayer * AddCastLayer(const char *name=nullptr)</div><div class="ttdoc">Adds a cast layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00252">Network.cpp:252</a></div></div>
<div class="ttc" id="astructarmnn_1_1_batch_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.xhtml">armnn::BatchNormalizationDescriptor</a></div><div class="ttdoc">A BatchNormalizationDescriptor for the BatchNormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00816">Descriptors.hpp:816</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_xhtml_a8a2218764dede9c24b0e52833469b5fe"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.xhtml#a8a2218764dede9c24b0e52833469b5fe">armnn::OptimizerOptionsOpaque::SetDebugToFileEnabled</a></div><div class="ttdeci">void SetDebugToFileEnabled(bool DebugFileState)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00130">Network.cpp:130</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_cast_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_cast_layer.xhtml">armnn::CastLayer</a></div><div class="ttdoc">This layer represents a cast operation.</div><div class="ttdef"><b>Definition:</b> <a href="_cast_layer_8hpp_source.xhtml#l00014">CastLayer.hpp:14</a></div></div>
<div class="ttc" id="a_filesystem_8hpp_xhtml"><div class="ttname"><a href="_filesystem_8hpp.xhtml">Filesystem.hpp</a></div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_xhtml_a477440c44fe870fb6f2486bf68214395"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a477440c44fe870fb6f2486bf68214395">armnn::QuantizedLstmInputParams::GetInputToOutputWeights</a></div><div class="ttdeci">const ConstTensor & GetInputToOutputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00073">QuantizedLstmParams.hpp:73</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_xhtml_aa76c76565125ad77092403176d74fd85"><div class="ttname"><a href="namespacearmnn_1_1optimizations.xhtml#aa76c76565125ad77092403176d74fd85">armnn::optimizations::InsertDebugLayer</a></div><div class="ttdeci">OptimizeForType< Layer, AddDebugImpl > InsertDebugLayer</div><div class="ttdef"><b>Definition:</b> <a href="_add_debug_8hpp_source.xhtml#l00053">AddDebug.hpp:53</a></div></div>
<div class="ttc" id="astructarmnn_1_1_backend_options_1_1_backend_option_xhtml"><div class="ttname"><a href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml">armnn::BackendOptions::BackendOption</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00215">BackendOptions.hpp:215</a></div></div>
<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml">armnn::QLstmDescriptor</a></div><div class="ttdoc">A QLstmDescriptor for the QLstmLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01347">Descriptors.hpp:1347</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Status::Success</a></div><div class="ttdeci">@ Success</div></div>
<div class="ttc" id="aclassarmnn_1_1_q_lstm_layer_xhtml_aada2b9060461ecf785d483eee0dc071a"><div class="ttname"><a href="classarmnn_1_1_q_lstm_layer.xhtml#aada2b9060461ecf785d483eee0dc071a">armnn::QLstmLayer::m_BasicParameters</a></div><div class="ttdeci">QLstmBasicParameters m_BasicParameters</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.xhtml#l00083">QLstmLayer.hpp:83</a></div></div>
<div class="ttc" id="astructarmnn_1_1_backend_settings_xhtml_a552a322b7e66b580caf4652f262687db"><div class="ttname"><a href="structarmnn_1_1_backend_settings.xhtml#a552a322b7e66b580caf4652f262687db">armnn::BackendSettings::m_IgnoredBackends</a></div><div class="ttdeci">BackendIdSet m_IgnoredBackends</div><div class="ttdef"><b>Definition:</b> <a href="_backend_settings_8hpp_source.xhtml#l00023">BackendSettings.hpp:23</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optional_base_xhtml_a86b749ce2c4bc627fa8a1fcfaf0e314f"><div class="ttname"><a href="classarmnn_1_1_optional_base.xhtml#a86b749ce2c4bc627fa8a1fcfaf0e314f">armnn::OptionalBase::has_value</a></div><div class="ttdeci">bool has_value() const noexcept</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00053">Optional.hpp:53</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_softmax_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_softmax_layer.xhtml">armnn::SoftmaxLayer</a></div><div class="ttdoc">This layer represents a softmax operation.</div><div class="ttdef"><b>Definition:</b> <a href="_softmax_layer_8hpp_source.xhtml#l00013">SoftmaxLayer.hpp:13</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_xhtml_ab40bb51feca46649eb9d00522bfe51f6"><div class="ttname"><a href="namespacearmnn_1_1optimizations.xhtml#ab40bb51feca46649eb9d00522bfe51f6">armnn::optimizations::FuseBatchNormIntoDepthwiseConvolution2DFloat16</a></div><div class="ttdeci">OptimizeForExclusiveConnection< DepthwiseConvolution2dLayer, BatchNormalizationLayer, FuseBatchNorm< DepthwiseConvolution2dLayer, armnn::DataType::Float16 > > FuseBatchNormIntoDepthwiseConvolution2DFloat16</div><div class="ttdef"><b>Definition:</b> <a href="_fuse_batch_norm_8hpp_source.xhtml#l00237">FuseBatchNorm.hpp:237</a></div></div>
<div class="ttc" id="astructarmnn_1_1_empty_optional_xhtml"><div class="ttname"><a href="structarmnn_1_1_empty_optional.xhtml">armnn::EmptyOptional</a></div><div class="ttdoc">EmptyOptional is used to initialize the Optional class in case we want to have default value for an O...</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00032">Optional.hpp:32</a></div></div>
<div class="ttc" id="astructarmnn_1_1_optimizer_options_xhtml_a11f463726addcc1d2845266997d79e9c"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.xhtml#a11f463726addcc1d2845266997d79e9c">armnn::OptimizerOptions::m_ReduceFp32ToBf16</a></div><div class="ttdeci">bool m_ReduceFp32ToBf16</div><div class="ttdoc">@Note This feature has been replaced by enabling Fast Math in compute library backend options.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00235">INetwork.hpp:235</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00042">Types.hpp:42</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_xhtml_ad1aaeee71293f34d9f65d2dd2792830d"><div class="ttname"><a href="namespacearmnn_1_1optimizations.xhtml#ad1aaeee71293f34d9f65d2dd2792830d">armnn::optimizations::TransposeAsReshape</a></div><div class="ttdeci">OptimizeForType< TransposeLayer, TransposeAsReshapeImpl > TransposeAsReshape</div><div class="ttdef"><b>Definition:</b> <a href="_transpose_as_reshape_8hpp_source.xhtml#l00077">TransposeAsReshape.hpp:77</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_pre_compiled_layer_xhtml_a1e06bf299b99f9eecb2e8ac5ce7457e2"><div class="ttname"><a href="classarmnn_1_1_pre_compiled_layer.xhtml#a1e06bf299b99f9eecb2e8ac5ce7457e2">armnn::PreCompiledLayer::SetPreCompiledObject</a></div><div class="ttdeci">void SetPreCompiledObject(PreCompiledObjectPtr preCompiledObject)</div><div class="ttdef"><b>Definition:</b> <a href="_pre_compiled_layer_8cpp_source.xhtml#l00047">PreCompiledLayer.cpp:47</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_optimized_network_xhtml_a72032c65bf8b8acf09b564b7d80078c5"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.xhtml#a72032c65bf8b8acf09b564b7d80078c5">armnn::IOptimizedNetwork::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(IStrategy &strategy) const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02967">Network.cpp:2967</a></div></div>
<div class="ttc" id="astructarmnn_1_1_optimizer_options_xhtml_a9416d94a8aad7cdfa47eb35e825cbda5"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.xhtml#a9416d94a8aad7cdfa47eb35e825cbda5">armnn::OptimizerOptions::m_shapeInferenceMethod</a></div><div class="ttdeci">ShapeInferenceMethod m_shapeInferenceMethod</div><div class="ttdoc">Infer output size when not available.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00238">INetwork.hpp:238</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_reduce_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_reduce_layer.xhtml">armnn::ReduceLayer</a></div><div class="ttdoc">This layer represents a reduction operation.</div><div class="ttdef"><b>Definition:</b> <a href="_reduce_layer_8hpp_source.xhtml#l00014">ReduceLayer.hpp:14</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_xhtml_a2bb6d411e26a7eb77664bd7040e7e8ab"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.xhtml#a2bb6d411e26a7eb77664bd7040e7e8ab">armnn::OptimizerOptionsOpaque::operator=</a></div><div class="ttdeci">OptimizerOptionsOpaque & operator=(OptimizerOptionsOpaque other)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00095">Network.cpp:95</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a10c50bc964cc8cc559eebcd7df5a8af3aa47abd1077ef632a38ada05b6edbf389"><div class="ttname"><a href="namespacearmnn.xhtml#a10c50bc964cc8cc559eebcd7df5a8af3aa47abd1077ef632a38ada05b6edbf389">armnn::CapabilityClass::PaddingRequired</a></div><div class="ttdeci">@ PaddingRequired</div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a41fd7b56923d5625bac2cbfebed1a393"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a41fd7b56923d5625bac2cbfebed1a393">armnn::NetworkImpl::AddTransposeConvolution2dLayer</a></div><div class="ttdeci">IConnectableLayer * AddTransposeConvolution2dLayer(const TransposeConvolution2dDescriptor &descriptor, const ConstTensor &weights, const Optional< ConstTensor > &biases, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02531">Network.cpp:2531</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_afc94c35c0bbe852a60046bf2e756b2e0"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#afc94c35c0bbe852a60046bf2e756b2e0">armnn::NetworkImpl::AddFillLayer</a></div><div class="ttdeci">IConnectableLayer * AddFillLayer(const FillDescriptor &fillDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02098">Network.cpp:2098</a></div></div>
<div class="ttc" id="astructarmnn_1_1_backend_settings_xhtml"><div class="ttname"><a href="structarmnn_1_1_backend_settings.xhtml">armnn::BackendSettings</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_settings_8hpp_source.xhtml#l00018">BackendSettings.hpp:18</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_xhtml_a7ddaf04177053a536f0e7be83a642bc6"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">armnn::OutputSlot::GetOwningLayer</a></div><div class="ttdeci">Layer & GetOwningLayer() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00119">Layer.hpp:119</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_aa51350bdd4976f3dd5a4e9d00a906b2c"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#aa51350bdd4976f3dd5a4e9d00a906b2c">armnn::INetwork::AddActivationLayer</a></div><div class="ttdeci">IConnectableLayer * AddActivationLayer(const ActivationDescriptor &activationDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds an activation layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00369">Network.cpp:369</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_af776e284b9e2c4a3563abb8cf5e8ac5e"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#af776e284b9e2c4a3563abb8cf5e8ac5e">armnn::INetwork::AddGatherNdLayer</a></div><div class="ttdeci">IConnectableLayer * AddGatherNdLayer(const char *name=nullptr)</div><div class="ttdoc">Add GatherNd layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00557">Network.cpp:557</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_handle_factory_registry_xhtml_ae5ecc42140a12c855554a4a621fc8456"><div class="ttname"><a href="classarmnn_1_1_tensor_handle_factory_registry.xhtml#ae5ecc42140a12c855554a4a621fc8456">armnn::TensorHandleFactoryRegistry::GetFactory</a></div><div class="ttdeci">ITensorHandleFactory * GetFactory(ITensorHandleFactory::FactoryId id) const</div><div class="ttdoc">Find a TensorHandleFactory by Id Returns nullptr if not found.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_factory_registry_8cpp_source.xhtml#l00039">TensorHandleFactoryRegistry.cpp:39</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_xhtml_a435d3651482bbfcc11263b4e4e0c900f"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#a435d3651482bbfcc11263b4e4e0c900f">armnn::LstmInputParams::m_RecurrentToInputWeights</a></div><div class="ttdeci">const ConstTensor * m_RecurrentToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00044">LstmParams.hpp:44</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_fully_connected_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_fully_connected_layer.xhtml">armnn::FullyConnectedLayer</a></div><div class="ttdoc">This layer represents a fully connected operation.</div><div class="ttdef"><b>Definition:</b> <a href="_fully_connected_layer_8hpp_source.xhtml#l00015">FullyConnectedLayer.hpp:15</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a6d614a503a34ea3712b388aa4340ddbe"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a6d614a503a34ea3712b388aa4340ddbe">armnn::NetworkImpl::AddPreluLayer</a></div><div class="ttdeci">IConnectableLayer * AddPreluLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02526">Network.cpp:2526</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360"><div class="ttname"><a href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">armnn::Compute::Undefined</a></div><div class="ttdeci">@ Undefined</div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_xhtml"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml">armnn::QuantizedLstmInputParams</a></div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00013">QuantizedLstmParams.hpp:13</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_af5f530544d09a44d726f24702b67b35b"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#af5f530544d09a44d726f24702b67b35b">armnn::Layer::GetInputSlots</a></div><div class="ttdeci">const std::vector< InputSlot > & GetInputSlots() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00245">Layer.hpp:245</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_constant_layer_xhtml_ad0c4b8ee0efd8f9336571cbeab8a53fe"><div class="ttname"><a href="classarmnn_1_1_constant_layer.xhtml#ad0c4b8ee0efd8f9336571cbeab8a53fe">armnn::ConstantLayer::m_LayerOutput</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_LayerOutput</div><div class="ttdef"><b>Definition:</b> <a href="_constant_layer_8hpp_source.xhtml#l00044">ConstantLayer.hpp:44</a></div></div>
<div class="ttc" id="a_assert_8hpp_xhtml_a91c4dfde57907d7698c7531785690a7f"><div class="ttname"><a href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a></div><div class="ttdeci">#define ARMNN_ASSERT_MSG(COND, MSG)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00015">Assert.hpp:15</a></div></div>
<div class="ttc" id="a_backend_registry_8hpp_xhtml"><div class="ttname"><a href="_backend_registry_8hpp.xhtml">BackendRegistry.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_pad_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_pad_layer.xhtml">armnn::PadLayer</a></div><div class="ttdoc">This layer represents a pad operation.</div><div class="ttdef"><b>Definition:</b> <a href="_pad_layer_8hpp_source.xhtml#l00014">PadLayer.hpp:14</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimized_network_impl_xhtml_aff3fde909d22ed157046682e70129259"><div class="ttname"><a href="classarmnn_1_1_optimized_network_impl.xhtml#aff3fde909d22ed157046682e70129259">armnn::OptimizedNetworkImpl::PrintGraph</a></div><div class="ttdeci">virtual Status PrintGraph()</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00711">Network.cpp:711</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_optimized_network_xhtml_a8d8179a4a0703602a5d7dbb6e92eaf69"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.xhtml#a8d8179a4a0703602a5d7dbb6e92eaf69">armnn::IOptimizedNetwork::GetNumInputs</a></div><div class="ttdeci">size_t GetNumInputs() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00701">Network.cpp:701</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_xhtml_a3cb5ef29e47f60acd88b16d6fee254f5"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.xhtml#a3cb5ef29e47f60acd88b16d6fee254f5">armnn::OptimizerOptionsOpaque::GetImportEnabled</a></div><div class="ttdeci">bool GetImportEnabled() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00160">Network.cpp:160</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a786be4af14ba595c9946f935ba99f170"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a786be4af14ba595c9946f935ba99f170">armnn::INetwork::AddChannelShuffleLayer</a></div><div class="ttdeci">IConnectableLayer * AddChannelShuffleLayer(const ChannelShuffleDescriptor &descriptor, const char *name=nullptr)</div><div class="ttdoc">Add a ChannelShuffle layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00630">Network.cpp:630</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a1da203a7e3caa6ae4f0630a4758aac55"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a1da203a7e3caa6ae4f0630a4758aac55">armnn::INetwork::AddGatherLayer</a></div><div class="ttdeci">IConnectableLayer * AddGatherLayer(const GatherDescriptor &descriptor, const char *name=nullptr)</div><div class="ttdoc">Add Gather layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00551">Network.cpp:551</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_pooling3d_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_pooling3d_layer.xhtml">armnn::Pooling3dLayer</a></div><div class="ttdoc">This layer represents a pooling 3d operation.</div><div class="ttdef"><b>Definition:</b> <a href="_pooling3d_layer_8hpp_source.xhtml#l00013">Pooling3dLayer.hpp:13</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimization_views_xhtml_ad5fee4381bf82ffa37658dddf4d1fa01"><div class="ttname"><a href="classarmnn_1_1_optimization_views.xhtml#ad5fee4381bf82ffa37658dddf4d1fa01">armnn::OptimizationViews::GetFailedSubgraphs</a></div><div class="ttdeci">const Subgraphs & GetFailedSubgraphs() const</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_optimization_views_8hpp_source.xhtml#l00054">OptimizationViews.hpp:54</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_pooling2d_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_pooling2d_layer.xhtml">armnn::Pooling2dLayer</a></div><div class="ttdoc">This layer represents a pooling 2d operation.</div><div class="ttdef"><b>Definition:</b> <a href="_pooling2d_layer_8hpp_source.xhtml#l00013">Pooling2dLayer.hpp:13</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_ac7dca3e9f2ab2f2c64b42fc59a67188a"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#ac7dca3e9f2ab2f2c64b42fc59a67188a">armnn::NetworkImpl::AddComparisonLayer</a></div><div class="ttdeci">IConnectableLayer * AddComparisonLayer(const ComparisonDescriptor &comparisonDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02080">Network.cpp:2080</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot & GetInputSlot(unsigned int index) const override</div><div class="ttdoc">Get a const input slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00324">Layer.hpp:324</a></div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_xhtml_a94645f29b99800c2e57acc4832519a53"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a94645f29b99800c2e57acc4832519a53">armnn::QuantizedLstmInputParams::GetRecurrentToOutputWeights</a></div><div class="ttdeci">const ConstTensor & GetRecurrentToOutputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00093">QuantizedLstmParams.hpp:93</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407aad42f6697b035b7580e4fef93be20b4d"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407aad42f6697b035b7580e4fef93be20b4d">armnn::BoostLogSeverityMapping::debug</a></div><div class="ttdeci">@ debug</div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a41ce159095e95f7cd4174ce5d4662697"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a41ce159095e95f7cd4174ce5d4662697">armnn::INetwork::Create</a></div><div class="ttdeci">static INetworkPtr Create(const NetworkOptions &networkOptions={})</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00652">Network.cpp:652</a></div></div>
<div class="ttc" id="a_deprecated_8hpp_xhtml_ab66a241a0ed3ee89c866e777b035d0ed"><div class="ttname"><a href="_deprecated_8hpp.xhtml#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div><div class="ttdeci">#define ARMNN_NO_DEPRECATE_WARN_BEGIN</div><div class="ttdef"><b>Definition:</b> <a href="_deprecated_8hpp_source.xhtml#l00033">Deprecated.hpp:33</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a72f7f58c37d9d856fcb648b5fa68cf59"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a72f7f58c37d9d856fcb648b5fa68cf59">armnn::NetworkImpl::AddCastLayer</a></div><div class="ttdeci">IConnectableLayer * AddCastLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02070">Network.cpp:2070</a></div></div>
<div class="ttc" id="astructarmnn_1_1_optimization_result_xhtml"><div class="ttname"><a href="structarmnn_1_1_optimization_result.xhtml">armnn::OptimizationResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.xhtml#l00249">Network.hpp:249</a></div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_xhtml_a23d6133552ba91cc0571517896792ea4"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a23d6133552ba91cc0571517896792ea4">armnn::QuantizedLstmInputParams::GetInputToInputWeights</a></div><div class="ttdeci">const ConstTensor & GetInputToInputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00058">QuantizedLstmParams.hpp:58</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_adc8c1c505bca8233fe238b3b7fb80200"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#adc8c1c505bca8233fe238b3b7fb80200">armnn::NetworkImpl::AddArgMinMaxLayer</a></div><div class="ttdeci">IConnectableLayer * AddArgMinMaxLayer(const ArgMinMaxDescriptor &desc, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02185">Network.cpp:2185</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_xhtml_a1759754ccb88ecc9af44f3aae6e244ee"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#a1759754ccb88ecc9af44f3aae6e244ee">armnn::LstmInputParams::m_RecurrentToCellWeights</a></div><div class="ttdeci">const ConstTensor * m_RecurrentToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00046">LstmParams.hpp:46</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_af1853466264ac187607c96b501a74e2b"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#af1853466264ac187607c96b501a74e2b">armnn::INetwork::AddDepthToSpaceLayer</a></div><div class="ttdeci">IConnectableLayer * AddDepthToSpaceLayer(const DepthToSpaceDescriptor &depthToSpaceDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a depth to space layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00284">Network.cpp:284</a></div></div>
<div class="ttc" id="astructarmnn_1_1_origins_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml">armnn::OriginsDescriptor</a></div><div class="ttdoc">An OriginsDescriptor for the ConcatLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00201">Descriptors.hpp:201</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a357aca04172ed22fa32e5a69122b0fec"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a357aca04172ed22fa32e5a69122b0fec">armnn::NetworkImpl::AddDequantizeLayer</a></div><div class="ttdeci">IConnectableLayer * AddDequantizeLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02494">Network.cpp:2494</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_xhtml_af7a1f38591d1a19952ac13515becc894"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.xhtml#af7a1f38591d1a19952ac13515becc894">armnn::OptimizerOptionsOpaque::GetExportEnabled</a></div><div class="ttdeci">bool GetExportEnabled() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00165">Network.cpp:165</a></div></div>
<div class="ttc" id="astructarmnn_1_1_reshape_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_reshape_descriptor.xhtml">armnn::ReshapeDescriptor</a></div><div class="ttdoc">A ReshapeDescriptor for the ReshapeLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00990">Descriptors.hpp:990</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_xhtml_ad6521013ad981519904822f2ada2c4ec"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#ad6521013ad981519904822f2ada2c4ec">armnn::Graph::ForEachLayer</a></div><div class="ttdeci">void ForEachLayer(Func func) const</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00040">Graph.hpp:40</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_aaff51346dadec2c1430abf007fed4cc9"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#aaff51346dadec2c1430abf007fed4cc9">armnn::NetworkImpl::AddL2NormalizationLayer</a></div><div class="ttdeci">IConnectableLayer * AddL2NormalizationLayer(const L2NormalizationDescriptor &desc, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02284">Network.cpp:2284</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a738d3243c1dc564304d78908c6112e4f"><div class="ttname"><a href="namespacearmnn.xhtml#a738d3243c1dc564304d78908c6112e4f">armnn::CalculateEdgeStrategy</a></div><div class="ttdeci">EdgeStrategy CalculateEdgeStrategy(BackendsMap &backends, ITensorHandleFactory::FactoryId srcFactoryId, const Layer &layer, const Layer &connectedLayer, TensorHandleFactoryRegistry &registry, bool importEnabled)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01613">Network.cpp:1613</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a6d614a503a34ea3712b388aa4340ddbe"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a6d614a503a34ea3712b388aa4340ddbe">armnn::INetwork::AddPreluLayer</a></div><div class="ttdeci">IConnectableLayer * AddPreluLayer(const char *name=nullptr)</div><div class="ttdoc">Adds a PReLU layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00567">Network.cpp:567</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_xhtml_a227e9ab5e488aa90ba462790ba0e5aec"><div class="ttname"><a href="namespacearmnn_1_1optimizations.xhtml#a227e9ab5e488aa90ba462790ba0e5aec">armnn::optimizations::FoldPadIntoDepthwiseConvolution2d</a></div><div class="ttdeci">OptimizeForExclusiveConnection< PadLayer, DepthwiseConvolution2dLayer, pad_fold::FoldPadIntoDepthwiseConvolution2dImpl > FoldPadIntoDepthwiseConvolution2d</div><div class="ttdef"><b>Definition:</b> <a href="_fold_pad_into_layer2d_8hpp_source.xhtml#l00258">FoldPadIntoLayer2d.hpp:258</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_xhtml_a906953de2f5edc60b2c27bd720a70aa4"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.xhtml#a906953de2f5edc60b2c27bd720a70aa4">armnn::OptimizerOptionsOpaque::ToString</a></div><div class="ttdeci">const std::string ToString() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00205">Network.cpp:205</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a43de8213707de0e76d80a32cd4b9b482"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a43de8213707de0e76d80a32cd4b9b482">armnn::NetworkImpl::AddConvolution3dLayer</a></div><div class="ttdeci">IConnectableLayer * AddConvolution3dLayer(const Convolution3dDescriptor &convolution3dDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02132">Network.cpp:2132</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_xhtml_ab03e6e1514f74427916c892f473fe04c"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#ab03e6e1514f74427916c892f473fe04c">armnn::LstmInputParams::m_ProjectionWeights</a></div><div class="ttdeci">const ConstTensor * m_ProjectionWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00055">LstmParams.hpp:55</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_depthwise_convolution2d_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml">armnn::DepthwiseConvolution2dLayer</a></div><div class="ttdoc">This layer represents a depthwise convolution 2d operation.</div><div class="ttdef"><b>Definition:</b> <a href="_depthwise_convolution2d_layer_8hpp_source.xhtml#l00015">DepthwiseConvolution2dLayer.hpp:15</a></div></div>
<div class="ttc" id="anamespacearmnn_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#l00048">Types.hpp:48</a></div></div>
<div class="ttc" id="astructarmnn_1_1_permute_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.xhtml">armnn::PermuteDescriptor</a></div><div class="ttdoc">A PermuteDescriptor for the PermuteLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00149">Descriptors.hpp:149</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_xhtml_affcee5f4ab5994a21bee3b78b4e43de3"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#affcee5f4ab5994a21bee3b78b4e43de3">armnn::LstmInputParams::m_InputToInputWeights</a></div><div class="ttdeci">const ConstTensor * m_InputToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00040">LstmParams.hpp:40</a></div></div>
<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml">armnn::TransposeConvolution2dDescriptor</a></div><div class="ttdoc">A TransposeConvolution2dDescriptor for the TransposeConvolution2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01407">Descriptors.hpp:1407</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_xhtml"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00030">Graph.hpp:30</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a19bad0cc50526ca9f4f84a688812cdf5"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a19bad0cc50526ca9f4f84a688812cdf5">armnn::INetwork::AddSpaceToDepthLayer</a></div><div class="ttdeci">IConnectableLayer * AddSpaceToDepthLayer(const SpaceToDepthDescriptor &spaceToDepthDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a space to depth layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00479">Network.cpp:479</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_af52a698836d638d0a71263c6c1496a05"><div class="ttname"><a href="namespacearmnn.xhtml#af52a698836d638d0a71263c6c1496a05">armnn::AssignBackendsIConnectable</a></div><div class="ttdeci">void AssignBackendsIConnectable(OptimizedNetworkImpl *optNetObjPtr, IConnectableLayer *it, Optional< std::vector< std::string > & > errMessages, OptimizationResult &result, BackendSettings &backendSettings, std::vector< BackendId > &availablePreferredBackends)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00988">Network.cpp:988</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a26e69cda5fe9642f9198c24ae5fdf9bc"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a26e69cda5fe9642f9198c24ae5fdf9bc">armnn::INetwork::AddSwitchLayer</a></div><div class="ttdeci">IConnectableLayer * AddSwitchLayer(const char *name=nullptr)</div><div class="ttdoc">Adds a switch layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00562">Network.cpp:562</a></div></div>
<div class="ttc" id="astructarmnn_1_1_optimization_result_xhtml_aca1654c65182fe4e7d5fd45f556fcd57"><div class="ttname"><a href="structarmnn_1_1_optimization_result.xhtml#aca1654c65182fe4e7d5fd45f556fcd57">armnn::OptimizationResult::IsError</a></div><div class="ttdeci">bool IsError() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.xhtml#l00266">Network.hpp:266</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_optimized_network_xhtml_a437cc59f5247f213adf34e84696f60da"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.xhtml#a437cc59f5247f213adf34e84696f60da">armnn::IOptimizedNetwork::~IOptimizedNetwork</a></div><div class="ttdeci">~IOptimizedNetwork()</div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_afe0a4f719f9752a405e71878da7012ba"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#afe0a4f719f9752a405e71878da7012ba">armnn::NetworkImpl::GetGraph</a></div><div class="ttdeci">const Graph & GetGraph() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.xhtml#l00038">Network.hpp:38</a></div></div>
<div class="ttc" id="a_network_8hpp_xhtml"><div class="ttname"><a href="_network_8hpp.xhtml">Network.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a26e69cda5fe9642f9198c24ae5fdf9bc"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a26e69cda5fe9642f9198c24ae5fdf9bc">armnn::NetworkImpl::AddSwitchLayer</a></div><div class="ttdeci">IConnectableLayer * AddSwitchLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02521">Network.cpp:2521</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_xhtml_a17d1279f5f8e3b92c328b1ed3b6fd549"><div class="ttname"><a href="namespacearmnn_1_1optimizations.xhtml#a17d1279f5f8e3b92c328b1ed3b6fd549">armnn::optimizations::PermuteAndBatchToSpaceAsDepthToSpace</a></div><div class="ttdeci">OptimizeForConnection< PermuteLayer, BatchToSpaceNdLayer, PermuteAndBatchToSpaceAsDepthToSpaceImpl< PermuteLayer > > PermuteAndBatchToSpaceAsDepthToSpace</div><div class="ttdef"><b>Definition:</b> <a href="_permute_and_batch_to_space_as_depth_to_space_8hpp_source.xhtml#l00102">PermuteAndBatchToSpaceAsDepthToSpace.hpp:102</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.xhtml#l00046">ITensorHandleFactory.hpp:46</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_a6ff80e440308295056b57e2adaa42888"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a6ff80e440308295056b57e2adaa42888">armnn::Layer::GetBackendHint</a></div><div class="ttdeci">Optional< BackendId > GetBackendHint() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00342">Layer.hpp:342</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_l2_normalization_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_l2_normalization_layer.xhtml">armnn::L2NormalizationLayer</a></div><div class="ttdoc">This layer represents a L2 normalization operation.</div><div class="ttdef"><b>Definition:</b> <a href="_l2_normalization_layer_8hpp_source.xhtml#l00013">L2NormalizationLayer.hpp:13</a></div></div>
<div class="ttc" id="a_assert_8hpp_xhtml_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00014">Assert.hpp:14</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_ad4726f9b7dd11db250d2a494a8a39494"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#ad4726f9b7dd11db250d2a494a8a39494">armnn::INetwork::AddMeanLayer</a></div><div class="ttdeci">IConnectableLayer * AddMeanLayer(const MeanDescriptor &meanDescriptor, const char *name=nullptr)</div><div class="ttdoc">Add a Mean layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00522">Network.cpp:522</a></div></div>
<div class="ttc" id="astructarmnn_1_1_backend_settings_xhtml_a0b160952af61b24d88125d66ed6d43c1"><div class="ttname"><a href="structarmnn_1_1_backend_settings.xhtml#a0b160952af61b24d88125d66ed6d43c1">armnn::BackendSettings::m_SupportedBackends</a></div><div class="ttdeci">BackendIdSet m_SupportedBackends</div><div class="ttdef"><b>Definition:</b> <a href="_backend_settings_8hpp_source.xhtml#l00021">BackendSettings.hpp:21</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a1ff7534e1254dfb3ef8288194cca7ce3"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a1ff7534e1254dfb3ef8288194cca7ce3">armnn::NetworkImpl::AddLogicalBinaryLayer</a></div><div class="ttdeci">IConnectableLayer * AddLogicalBinaryLayer(const LogicalBinaryDescriptor &logicalBinaryDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02752">Network.cpp:2752</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a72032c65bf8b8acf09b564b7d80078c5"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a72032c65bf8b8acf09b564b7d80078c5">armnn::INetwork::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(IStrategy &strategy) const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00642">Network.cpp:642</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_af9dd4b5273829b846ab83b3ae7f3defc"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#af9dd4b5273829b846ab83b3ae7f3defc">armnn::INetwork::AddShapeLayer</a></div><div class="ttdeci">IConnectableLayer * AddShapeLayer(const char *name=nullptr)</div><div class="ttdoc">Adds a shape layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00586">Network.cpp:586</a></div></div>
<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml">armnn::Pooling2dDescriptor</a></div><div class="ttdoc">A Pooling2dDescriptor for the Pooling2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00359">Descriptors.hpp:359</a></div></div>
<div class="ttc" id="astructarmnn_1_1_logical_binary_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_logical_binary_descriptor.xhtml">armnn::LogicalBinaryDescriptor</a></div><div class="ttdoc">A LogicalBinaryDescriptor for the LogicalBinaryLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01485">Descriptors.hpp:1485</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_af760179196d57e2ddbc64b989fb72586"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#af760179196d57e2ddbc64b989fb72586">armnn::INetwork::~INetwork</a></div><div class="ttdeci">~INetwork()</div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_ad97411f1fcb2c30c212483d8c673506f"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#ad97411f1fcb2c30c212483d8c673506f">armnn::INetwork::AddResizeLayer</a></div><div class="ttdeci">IConnectableLayer * AddResizeLayer(const ResizeDescriptor &resizeDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a resize layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00431">Network.cpp:431</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_addition_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_addition_layer.xhtml">armnn::AdditionLayer</a></div><div class="ttdoc">This layer represents an addition operation.</div><div class="ttdef"><b>Definition:</b> <a href="_addition_layer_8hpp_source.xhtml#l00013">AdditionLayer.hpp:13</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_ad52508167694d6d259525b3eec1a4267"><div class="ttname"><a href="namespacearmnn.xhtml#ad52508167694d6d259525b3eec1a4267">armnn::CalculateSlotOption</a></div><div class="ttdeci">ITensorHandleFactory::FactoryId CalculateSlotOption(BackendsMap &backends, OutputSlot &outputSlot, TensorHandleFactoryRegistry &registry, bool exportEnabled)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01463">Network.cpp:1463</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_aba22dcdeed6e7c489aea6eb798c0a10a"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#aba22dcdeed6e7c489aea6eb798c0a10a">armnn::NetworkImpl::AddUnidirectionalSequenceLstmLayer</a></div><div class="ttdeci">IConnectableLayer * AddUnidirectionalSequenceLstmLayer(const UnidirectionalSequenceLstmDescriptor &descriptor, const LstmInputParams &params, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02758">Network.cpp:2758</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_xhtml_a4dfbdc8cc90b67e74eccd146d977ff66"><div class="ttname"><a href="namespacearmnn_1_1optimizations.xhtml#a4dfbdc8cc90b67e74eccd146d977ff66">armnn::optimizations::ConvertConstDequantisationLayersToConstLayers</a></div><div class="ttdeci">OptimizeForConnection< ConstantLayer, DequantizeLayer, ConvertConstDequantisationLayersToConstLayersImpl > ConvertConstDequantisationLayersToConstLayers</div><div class="ttdef"><b>Definition:</b> <a href="_convert_const_dequantisation_layers_to_const_layers_8hpp_source.xhtml#l00173">ConvertConstDequantisationLayersToConstLayers.hpp:173</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_aea1059833739d3dccebb3a03ec35a1e6"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#aea1059833739d3dccebb3a03ec35a1e6">armnn::INetwork::AddConcatLayer</a></div><div class="ttdeci">IConnectableLayer * AddConcatLayer(const ConcatDescriptor &concatDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a concatenation layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00264">Network.cpp:264</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_xhtml_aa31127c77d2117f78d43ca2958dcae19"><div class="ttname"><a href="namespacearmnn_1_1optimizations.xhtml#aa31127c77d2117f78d43ca2958dcae19">armnn::optimizations::OptimizeInversePermutes</a></div><div class="ttdeci">OptimizeForConnection< PermuteLayer, PermuteLayer, OptimizeInversePermutesImpl< PermuteLayer > > OptimizeInversePermutes</div><div class="ttdef"><b>Definition:</b> <a href="_optimize_inverse_permutes_8hpp_source.xhtml#l00043">OptimizeInversePermutes.hpp:43</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a471991a84030eb3ae601da2bee757870"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a471991a84030eb3ae601da2bee757870">armnn::NetworkImpl::AddFullyConnectedLayer</a></div><div class="ttdeci">IConnectableLayer * AddFullyConnectedLayer(const FullyConnectedDescriptor &fullyConnectedDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02104">Network.cpp:2104</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a8a3380be13fba749fc4208214b049347"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a8a3380be13fba749fc4208214b049347">armnn::NetworkImpl::AddReshapeLayer</a></div><div class="ttdeci">IConnectableLayer * AddReshapeLayer(const ReshapeDescriptor &reshapeDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02305">Network.cpp:2305</a></div></div>
<div class="ttc" id="a_exceptions_8hpp_xhtml"><div class="ttname"><a href="_exceptions_8hpp.xhtml">Exceptions.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a9a9bcc00ae3d96343c93b437d6f77088"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a9a9bcc00ae3d96343c93b437d6f77088">armnn::INetwork::AddBatchToSpaceNdLayer</a></div><div class="ttdeci">IConnectableLayer * AddBatchToSpaceNdLayer(const BatchToSpaceNdDescriptor &batchToSpaceNdDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a batch to space ND layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00343">Network.cpp:343</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml">armnn::INetwork</a></div><div class="ttdoc">Main network class which provides the interface for building up a neural network.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00335">INetwork.hpp:335</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optional_xhtml"><div class="ttname"><a href="classarmnn_1_1_optional.xhtml">armnn::Optional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00270">Optional.hpp:270</a></div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_xhtml_ad2e53e6428416a65ae4ba566207cc6bf"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#ad2e53e6428416a65ae4ba566207cc6bf">armnn::QuantizedLstmInputParams::GetRecurrentToInputWeights</a></div><div class="ttdeci">const ConstTensor & GetRecurrentToInputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00078">QuantizedLstmParams.hpp:78</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_xhtml_a8a81178ddcebb93ec0c35b6e6284273c"><div class="ttname"><a href="namespacearmnn_1_1optimizations.xhtml#a8a81178ddcebb93ec0c35b6e6284273c">armnn::optimizations::FuseBatchNormIntoConvolution2DFloat16</a></div><div class="ttdeci">OptimizeForExclusiveConnection< Convolution2dLayer, BatchNormalizationLayer, FuseBatchNorm< Convolution2dLayer, armnn::DataType::Float16 > > FuseBatchNormIntoConvolution2DFloat16</div><div class="ttdef"><b>Definition:</b> <a href="_fuse_batch_norm_8hpp_source.xhtml#l00227">FuseBatchNorm.hpp:227</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_basic_parameters_xhtml_aafad117fb253359c1d472c9faefe49ef"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.xhtml#aafad117fb253359c1d472c9faefe49ef">armnn::LstmBasicParameters::m_InputToForgetWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_InputToForgetWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units].</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.xhtml#l00057">LstmParameters.hpp:57</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_xhtml_a279d0a7c56966cea334303d48a874964"><div class="ttname"><a href="namespacearmnn_1_1optimizations.xhtml#a279d0a7c56966cea334303d48a874964">armnn::optimizations::FoldPadIntoPooling2d</a></div><div class="ttdeci">OptimizeForExclusiveConnection< PadLayer, Pooling2dLayer, pad_fold::FoldPadIntoPooling2dImpl > FoldPadIntoPooling2d</div><div class="ttdef"><b>Definition:</b> <a href="_fold_pad_into_layer2d_8hpp_source.xhtml#l00260">FoldPadIntoLayer2d.hpp:260</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimized_network_impl_xhtml_a72032c65bf8b8acf09b564b7d80078c5"><div class="ttname"><a href="classarmnn_1_1_optimized_network_impl.xhtml#a72032c65bf8b8acf09b564b7d80078c5">armnn::OptimizedNetworkImpl::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(IStrategy &strategy) const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02972">Network.cpp:2972</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_aff3fde909d22ed157046682e70129259"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#aff3fde909d22ed157046682e70129259">armnn::INetwork::PrintGraph</a></div><div class="ttdeci">Status PrintGraph()</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00236">Network.cpp:236</a></div></div>
<div class="ttc" id="a_logging_8hpp_xhtml"><div class="ttname"><a href="_logging_8hpp.xhtml">Logging.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_pre_compiled_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_pre_compiled_layer.xhtml">armnn::PreCompiledLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_pre_compiled_layer_8hpp_source.xhtml#l00022">PreCompiledLayer.hpp:22</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_xhtml_a1ad03005dfb602c109a1b4fed7fca9e3"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.xhtml#a1ad03005dfb602c109a1b4fed7fca9e3">armnn::OptimizerOptionsOpaque::AddModelOption</a></div><div class="ttdeci">void AddModelOption(armnn::BackendOptions)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00150">Network.cpp:150</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_afc94c35c0bbe852a60046bf2e756b2e0"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#afc94c35c0bbe852a60046bf2e756b2e0">armnn::INetwork::AddFillLayer</a></div><div class="ttdeci">IConnectableLayer * AddFillLayer(const FillDescriptor &fillDescriptor, const char *name=nullptr)</div><div class="ttdoc">Add an Fill layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00325">Network.cpp:325</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_xhtml_a41297bcbc0f576cba32fabcdb2f893b8"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.xhtml#a41297bcbc0f576cba32fabcdb2f893b8">armnn::OptimizerOptionsOpaque::GetReduceFp32ToBf16</a></div><div class="ttdeci">bool GetReduceFp32ToBf16() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00175">Network.cpp:175</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_ad443897d51b291c83d81d809af07f4e0"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#ad443897d51b291c83d81d809af07f4e0">armnn::NetworkImpl::~NetworkImpl</a></div><div class="ttdeci">~NetworkImpl()</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02049">Network.cpp:2049</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_unidirectional_sequence_lstm_layer_xhtml_a8838b317568861294a9df608221f185e"><div class="ttname"><a href="classarmnn_1_1_unidirectional_sequence_lstm_layer.xhtml#a8838b317568861294a9df608221f185e">armnn::UnidirectionalSequenceLstmLayer::m_BasicParameters</a></div><div class="ttdeci">LstmBasicParameters m_BasicParameters</div><div class="ttdef"><b>Definition:</b> <a href="_unidirectional_sequence_lstm_layer_8hpp_source.xhtml#l00020">UnidirectionalSequenceLstmLayer.hpp:20</a></div></div>
<div class="ttc" id="astructarmnn_1_1_optimizer_options_opaque_impl_xhtml"><div class="ttname"><a href="structarmnn_1_1_optimizer_options_opaque_impl.xhtml">armnn::OptimizerOptionsOpaqueImpl</a></div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.xhtml#l00296">Network.hpp:296</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_mean_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_mean_layer.xhtml">armnn::MeanLayer</a></div><div class="ttdoc">This layer represents a mean operation.</div><div class="ttdef"><b>Definition:</b> <a href="_mean_layer_8hpp_source.xhtml#l00014">MeanLayer.hpp:14</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a40067b05f30a3ab65568c826df7a8ea7"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a40067b05f30a3ab65568c826df7a8ea7">armnn::INetwork::AddQuantizedLstmLayer</a></div><div class="ttdeci">IConnectableLayer * AddQuantizedLstmLayer(const QuantizedLstmInputParams &params, const char *name=nullptr)</div><div class="ttdoc">Add a QuantizedLstm layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00603">Network.cpp:603</a></div></div>
<div class="ttc" id="astructarmnn_1_1_optimization_result_xhtml_a2a35773a5a0e08b180a12205c3e15500"><div class="ttname"><a href="structarmnn_1_1_optimization_result.xhtml#a2a35773a5a0e08b180a12205c3e15500">armnn::OptimizationResult::IsWarningOnly</a></div><div class="ttdeci">bool IsWarningOnly() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.xhtml#l00264">Network.hpp:264</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_batch_mat_mul_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_batch_mat_mul_layer.xhtml">armnn::BatchMatMulLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_batch_mat_mul_layer_8hpp_source.xhtml#l00013">BatchMatMulLayer.hpp:13</a></div></div>
<div class="ttc" id="astructarmnn_1_1_optimization_result_xhtml_a41a657cfacb52a80a73575c5c730ab88"><div class="ttname"><a href="structarmnn_1_1_optimization_result.xhtml#a41a657cfacb52a80a73575c5c730ab88">armnn::OptimizationResult::m_Error</a></div><div class="ttdeci">bool m_Error</div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.xhtml#l00252">Network.hpp:252</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_convert_fp16_to_fp32_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_convert_fp16_to_fp32_layer.xhtml">armnn::ConvertFp16ToFp32Layer</a></div><div class="ttdoc">This layer converts data type Float 16 to Float 32.</div><div class="ttdef"><b>Definition:</b> <a href="_convert_fp16_to_fp32_layer_8hpp_source.xhtml#l00014">ConvertFp16ToFp32Layer.hpp:14</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_stand_in_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_stand_in_layer.xhtml">armnn::StandInLayer</a></div><div class="ttdoc">This layer represents an unknown operation in the input graph.</div><div class="ttdef"><b>Definition:</b> <a href="_stand_in_layer_8hpp_source.xhtml#l00014">StandInLayer.hpp:14</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a095a9b700dc857edc23c5d3bf088919f"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a095a9b700dc857edc23c5d3bf088919f">armnn::INetwork::AddElementwiseUnaryLayer</a></div><div class="ttdeci">IConnectableLayer * AddElementwiseUnaryLayer(const ElementwiseUnaryDescriptor &elementwiseUnaryDescriptor, const char *name=nullptr)</div><div class="ttdoc">Add an ElementwiseUnary layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00319">Network.cpp:319</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_ac5c93cad39a690af862d49ffaec0d3c0"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#ac5c93cad39a690af862d49ffaec0d3c0">armnn::INetwork::AddStridedSliceLayer</a></div><div class="ttdeci">IConnectableLayer * AddStridedSliceLayer(const StridedSliceDescriptor &stridedSliceDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a strided slice layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00538">Network.cpp:538</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_floor_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_floor_layer.xhtml">armnn::FloorLayer</a></div><div class="ttdoc">This layer represents a floor operation.</div><div class="ttdef"><b>Definition:</b> <a href="_floor_layer_8hpp_source.xhtml#l00013">FloorLayer.hpp:13</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a25563024ec66627ee83727244a53e944"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a25563024ec66627ee83727244a53e944">armnn::INetwork::AddRankLayer</a></div><div class="ttdeci">IConnectableLayer * AddRankLayer(const char *name=nullptr)</div><div class="ttdoc">Adds a rank layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00426">Network.cpp:426</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_xhtml_aa52c06792e18dc13030e82476f706f9e"><div class="ttname"><a href="namespacearmnn_1_1optimizations.xhtml#aa52c06792e18dc13030e82476f706f9e">armnn::optimizations::FuseBatchNormIntoConvolution2DFloat32</a></div><div class="ttdeci">OptimizeForExclusiveConnection< Convolution2dLayer, BatchNormalizationLayer, FuseBatchNorm< Convolution2dLayer, armnn::DataType::Float32 > > FuseBatchNormIntoConvolution2DFloat32</div><div class="ttdef"><b>Definition:</b> <a href="_fuse_batch_norm_8hpp_source.xhtml#l00222">FuseBatchNorm.hpp:222</a></div></div>
<div class="ttc" id="anamespacearmnn_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#l00327">INetwork.hpp:327</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_xhtml_a484bafa2f8453a7c5a4a00b92a61b006"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#a484bafa2f8453a7c5a4a00b92a61b006">armnn::LstmInputParams::m_CellToInputWeights</a></div><div class="ttdeci">const ConstTensor * m_CellToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00048">LstmParams.hpp:48</a></div></div>
<div class="ttc" id="astructarmnn_1_1_arg_min_max_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.xhtml">armnn::ArgMinMaxDescriptor</a></div><div class="ttdoc">An ArgMinMaxDescriptor for ArgMinMaxLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00067">Descriptors.hpp:67</a></div></div>
<div class="ttc" id="astructarmnn_1_1_backend_settings_xhtml_aa5df3120ee0fbb3321df3133ec9e83ae"><div class="ttname"><a href="structarmnn_1_1_backend_settings.xhtml#aa5df3120ee0fbb3321df3133ec9e83ae">armnn::BackendSettings::IsBackendSupported</a></div><div class="ttdeci">bool IsBackendSupported(const BackendId &backend) const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_settings_8hpp_source.xhtml#l00046">BackendSettings.hpp:46</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimization_views_xhtml_a9a1555f25af4a0ae2c0a1fc0ed9aded8"><div class="ttname"><a href="classarmnn_1_1_optimization_views.xhtml#a9a1555f25af4a0ae2c0a1fc0ed9aded8">armnn::OptimizationViews::GetSubstitutions</a></div><div class="ttdeci">const Substitutions & GetSubstitutions() const</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_optimization_views_8hpp_source.xhtml#l00053">OptimizationViews.hpp:53</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml">armnn::NetworkImpl</a></div><div class="ttdoc">Private implementation of INetwork.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.xhtml#l00032">Network.hpp:32</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_depth_to_space_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_depth_to_space_layer.xhtml">armnn::DepthToSpaceLayer</a></div><div class="ttdoc">This layer represents a DepthToSpace operation.</div><div class="ttdef"><b>Definition:</b> <a href="_depth_to_space_layer_8hpp_source.xhtml#l00014">DepthToSpaceLayer.hpp:14</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_resize_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_resize_layer.xhtml">armnn::ResizeLayer</a></div><div class="ttdoc">This layer represents a resize operation.</div><div class="ttdef"><b>Definition:</b> <a href="_resize_layer_8hpp_source.xhtml#l00013">ResizeLayer.hpp:13</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_unidirectional_sequence_lstm_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_unidirectional_sequence_lstm_layer.xhtml">armnn::UnidirectionalSequenceLstmLayer</a></div><div class="ttdoc">This layer represents a LSTM operation.</div><div class="ttdef"><b>Definition:</b> <a href="_unidirectional_sequence_lstm_layer_8hpp_source.xhtml#l00016">UnidirectionalSequenceLstmLayer.hpp:16</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_xhtml_a0cd848f65ec31778d708852f0042fe37"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#a0cd848f65ec31778d708852f0042fe37">armnn::LstmInputParams::m_InputLayerNormWeights</a></div><div class="ttdeci">const ConstTensor * m_InputLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00057">LstmParams.hpp:57</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_ab067ba4ee9416d93abb8a52f3dc8feba"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#ab067ba4ee9416d93abb8a52f3dc8feba">armnn::NetworkImpl::AddTransposeLayer</a></div><div class="ttdeci">IConnectableLayer * AddTransposeLayer(const TransposeDescriptor &transposeDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02553">Network.cpp:2553</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_aba22dcdeed6e7c489aea6eb798c0a10a"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#aba22dcdeed6e7c489aea6eb798c0a10a">armnn::INetwork::AddUnidirectionalSequenceLstmLayer</a></div><div class="ttdeci">IConnectableLayer * AddUnidirectionalSequenceLstmLayer(const UnidirectionalSequenceLstmDescriptor &descriptor, const LstmInputParams &params, const char *name=nullptr)</div><div class="ttdoc">Add a UnidirectionalSequenceLstm layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00622">Network.cpp:622</a></div></div>
<div class="ttc" id="a_ignore_unused_8hpp_xhtml"><div class="ttname"><a href="_ignore_unused_8hpp.xhtml">IgnoreUnused.hpp</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a8bf1222ae8931bf663fa076b3e3b6f0e"><div class="ttname"><a href="namespacearmnn.xhtml#a8bf1222ae8931bf663fa076b3e3b6f0e">armnn::CheckScaleSetOnQuantizedType</a></div><div class="ttdeci">bool CheckScaleSetOnQuantizedType(Layer *layer, Optional< std::vector< std::string > & > errMessages)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00771">Network.cpp:771</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_xhtml_a64ddffb38fbe5b78ec92b753cd4bd0ba"><div class="ttname"><a href="namespacearmnn_1_1optimizations.xhtml#a64ddffb38fbe5b78ec92b753cd4bd0ba">armnn::optimizations::SquashEqualPermuteSiblings</a></div><div class="ttdeci">OptimizeForConnection< Layer, PermuteLayer, SquashEqualSiblingsImpl< PermuteLayer > > SquashEqualPermuteSiblings</div><div class="ttdef"><b>Definition:</b> <a href="_squash_equal_siblings_8hpp_source.xhtml#l00067">SquashEqualSiblings.hpp:67</a></div></div>
<div class="ttc" id="astructarmnn_1_1_q_lstm_basic_parameters_xhtml_aafad117fb253359c1d472c9faefe49ef"><div class="ttname"><a href="structarmnn_1_1_q_lstm_basic_parameters.xhtml#aafad117fb253359c1d472c9faefe49ef">armnn::QLstmBasicParameters::m_InputToForgetWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_InputToForgetWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [num_units, inputSize] (QSymmS8).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.xhtml#l00017">QLstmLayer.hpp:17</a></div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_xhtml_a89f3c8b72e3a802240156915141de5ca"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a89f3c8b72e3a802240156915141de5ca">armnn::QuantizedLstmInputParams::GetCellBias</a></div><div class="ttdeci">const ConstTensor & GetCellBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00108">QuantizedLstmParams.hpp:108</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_ad31c56533e4f9f9f51719599fbfcf7bb"><div class="ttname"><a href="namespacearmnn.xhtml#ad31c56533e4f9f9f51719599fbfcf7bb">armnn::InsertConvertFp16ToFp32LayersBefore</a></div><div class="ttdeci">std::vector< ConvertFp16ToFp32Layer * > InsertConvertFp16ToFp32LayersBefore(Graph &graph, Layer &layer, bool expectCorrectInputType)</div><div class="ttdef"><b>Definition:</b> <a href="_network_utils_8cpp_source.xhtml#l00040">NetworkUtils.cpp:40</a></div></div>
<div class="ttc" id="a_types_utils_8hpp_xhtml"><div class="ttname"><a href="_types_utils_8hpp.xhtml">TypesUtils.hpp</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_xhtml_a56e54a818166a2f4b2c1a7f76a3629ff"><div class="ttname"><a href="namespacearmnn_1_1optimizations.xhtml#a56e54a818166a2f4b2c1a7f76a3629ff">armnn::optimizations::FuseBatchNormIntoDepthwiseConvolution2DFloat32</a></div><div class="ttdeci">OptimizeForExclusiveConnection< DepthwiseConvolution2dLayer, BatchNormalizationLayer, FuseBatchNorm< DepthwiseConvolution2dLayer, armnn::DataType::Float32 > > FuseBatchNormIntoDepthwiseConvolution2DFloat32</div><div class="ttdef"><b>Definition:</b> <a href="_fuse_batch_norm_8hpp_source.xhtml#l00232">FuseBatchNorm.hpp:232</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a0a2fdd4f442952c97a8f24de6700473a"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a0a2fdd4f442952c97a8f24de6700473a">armnn::NetworkImpl::AddLstmLayer</a></div><div class="ttdeci">IConnectableLayer * AddLstmLayer(const LstmDescriptor &descriptor, const LstmInputParams &params, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02328">Network.cpp:2328</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_division_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_division_layer.xhtml">armnn::DivisionLayer</a></div><div class="ttdoc">This layer represents a division operation.</div><div class="ttdef"><b>Definition:</b> <a href="_division_layer_8hpp_source.xhtml#l00014">DivisionLayer.hpp:14</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml">armnn::LstmInputParams</a></div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00013">LstmParams.hpp:13</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_maximum_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_maximum_layer.xhtml">armnn::MaximumLayer</a></div><div class="ttdoc">This layer represents a maximum operation.</div><div class="ttdef"><b>Definition:</b> <a href="_maximum_layer_8hpp_source.xhtml#l00014">MaximumLayer.hpp:14</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_minimum_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_minimum_layer.xhtml">armnn::MinimumLayer</a></div><div class="ttdoc">This layer represents a minimum operation.</div><div class="ttdef"><b>Definition:</b> <a href="_minimum_layer_8hpp_source.xhtml#l00014">MinimumLayer.hpp:14</a></div></div>
<div class="ttc" id="anamespacestd_xhtml"><div class="ttname"><a href="namespacestd.xhtml">std</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_id_8hpp_source.xhtml#l00149">BackendId.hpp:149</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_aff209afc1dc598da399e3e78617ce016a46e8b7bfd6fd3c0cb34a100478a39189"><div class="ttname"><a href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016a46e8b7bfd6fd3c0cb34a100478a39189">armnn::EdgeStrategy::ExportToTarget</a></div><div class="ttdeci">@ ExportToTarget</div><div class="ttdoc">Destination backend can work directly with tensors on source backend.</div></div>
<div class="ttc" id="aclassarmnn_1_1_convolution2d_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_convolution2d_layer.xhtml">armnn::Convolution2dLayer</a></div><div class="ttdoc">This layer represents a convolution 2d operation.</div><div class="ttdef"><b>Definition:</b> <a href="_convolution2d_layer_8hpp_source.xhtml#l00015">Convolution2dLayer.hpp:15</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_convolution3d_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_convolution3d_layer.xhtml">armnn::Convolution3dLayer</a></div><div class="ttdoc">This layer represents a convolution 3d operation.</div><div class="ttdef"><b>Definition:</b> <a href="_convolution3d_layer_8hpp_source.xhtml#l00016">Convolution3dLayer.hpp:16</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_xhtml_a06cac66872538895dd6b59cdf39173d2"><div class="ttname"><a href="namespacearmnn_1_1optimizations.xhtml#a06cac66872538895dd6b59cdf39173d2">armnn::optimizations::ConvertConstantsHalfToFloat</a></div><div class="ttdeci">ConvertConstants< Float16ToFloat32, IsFloat32Layer > ConvertConstantsHalfToFloat</div><div class="ttdef"><b>Definition:</b> <a href="_convert_constants_8hpp_source.xhtml#l00098">ConvertConstants.hpp:98</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_convert_fp32_to_fp16_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_convert_fp32_to_fp16_layer.xhtml">armnn::ConvertFp32ToFp16Layer</a></div><div class="ttdoc">This layer converts data type Float 32 to Float 16.</div><div class="ttdef"><b>Definition:</b> <a href="_convert_fp32_to_fp16_layer_8hpp_source.xhtml#l00013">ConvertFp32ToFp16Layer.hpp:13</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_factory_xhtml_a32f4aa6a7089d877af08928139c2c277"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a32f4aa6a7089d877af08928139c2c277">armnn::ITensorHandleFactory::FactoryId</a></div><div class="ttdeci">std::string FactoryId</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.xhtml#l00049">ITensorHandleFactory.hpp:49</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a57590d7777211673d2052f702f0b07a1"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a57590d7777211673d2052f702f0b07a1">armnn::NetworkImpl::AddMaximumLayer</a></div><div class="ttdeci">IConnectableLayer * AddMaximumLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02215">Network.cpp:2215</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a></div><div class="ttdeci">@ Output</div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_af9dd4b5273829b846ab83b3ae7f3defc"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#af9dd4b5273829b846ab83b3ae7f3defc">armnn::NetworkImpl::AddShapeLayer</a></div><div class="ttdeci">IConnectableLayer * AddShapeLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02273">Network.cpp:2273</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a839ad76f1f52a70b540805b231f05d9c"><div class="ttname"><a href="namespacearmnn.xhtml#a839ad76f1f52a70b540805b231f05d9c">armnn::AssignBackends</a></div><div class="ttdeci">OptimizationResult AssignBackends(OptimizedNetworkImpl *optNetObjPtr, BackendSettings &backendSettings, Graph::Iterator &firstLayer, Graph::Iterator &lastLayer, Optional< std::vector< std::string > & > errMessages)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01098">Network.cpp:1098</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_factory_xhtml_a9892b82652ffac03f1e4e7ad93906078"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a9892b82652ffac03f1e4e7ad93906078">armnn::ITensorHandleFactory::GetExportFlags</a></div><div class="ttdeci">virtual MemorySourceFlags GetExportFlags() const</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.xhtml#l00090">ITensorHandleFactory.hpp:90</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_comparison_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_comparison_layer.xhtml">armnn::ComparisonLayer</a></div><div class="ttdoc">This layer represents a comparison operation.</div><div class="ttdef"><b>Definition:</b> <a href="_comparison_layer_8hpp_source.xhtml#l00014">ComparisonLayer.hpp:14</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_xhtml_a9e081a9b94defb30d1558dc912507e0e"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#a9e081a9b94defb30d1558dc912507e0e">armnn::LstmInputParams::m_InputGateBias</a></div><div class="ttdeci">const ConstTensor * m_InputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00051">LstmParams.hpp:51</a></div></div>
<div class="ttc" id="a_subgraph_view_selector_8hpp_xhtml"><div class="ttname"><a href="_subgraph_view_selector_8hpp.xhtml">SubgraphViewSelector.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a8f798e19187ac7ae6ae6153ee64ab645"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a8f798e19187ac7ae6ae6153ee64ab645">armnn::NetworkImpl::AddBatchNormalizationLayer</a></div><div class="ttdeci">IConnectableLayer * AddBatchNormalizationLayer(const BatchNormalizationDescriptor &desc, const ConstTensor &mean, const ConstTensor &variance, const ConstTensor &beta, const ConstTensor &gamma, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02240">Network.cpp:2240</a></div></div>
<div class="ttc" id="astructarmnn_1_1_optimization_result_xhtml_a955b65059e7f9429a5d6041136bc1487"><div class="ttname"><a href="structarmnn_1_1_optimization_result.xhtml#a955b65059e7f9429a5d6041136bc1487">armnn::OptimizationResult::IsOk</a></div><div class="ttdeci">bool IsOk() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.xhtml#l00262">Network.hpp:262</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_space_to_depth_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_space_to_depth_layer.xhtml">armnn::SpaceToDepthLayer</a></div><div class="ttdoc">This layer represents a SpaceToDepth operation.</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_depth_layer_8hpp_source.xhtml#l00014">SpaceToDepthLayer.hpp:14</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a446181daeb60b49cbcfd9f907f974ec1"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a446181daeb60b49cbcfd9f907f974ec1">armnn::NetworkImpl::AddStackLayer</a></div><div class="ttdeci">IConnectableLayer * AddStackLayer(const StackDescriptor &stackDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02559">Network.cpp:2559</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a81b5ff8545adad19a1c9d4ca076d552c"><div class="ttname"><a href="namespacearmnn.xhtml#a81b5ff8545adad19a1c9d4ca076d552c">armnn::GetDataTypeName</a></div><div class="ttdeci">constexpr const char * GetDataTypeName(DataType dataType)</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.xhtml#l00220">TypesUtils.hpp:220</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a30528a3bd85a0dba158bd14e252bd68a"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a30528a3bd85a0dba158bd14e252bd68a">armnn::NetworkImpl::AddSoftmaxLayer</a></div><div class="ttdeci">IConnectableLayer * AddSoftmaxLayer(const SoftmaxDescriptor &softmaxDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02203">Network.cpp:2203</a></div></div>
<div class="ttc" id="aclassarmnn_utils_1_1_floating_point_converter_xhtml_ac1f1568f02163a68906a0030e0ba9871"><div class="ttname"><a href="classarmnn_utils_1_1_floating_point_converter.xhtml#ac1f1568f02163a68906a0030e0ba9871">armnnUtils::FloatingPointConverter::ConvertFloat16To32</a></div><div class="ttdeci">static void ConvertFloat16To32(const void *srcFloat16Buffer, size_t numElements, float *dstFloat32Buffer)</div><div class="ttdef"><b>Definition:</b> <a href="_floating_point_converter_8cpp_source.xhtml#l00031">FloatingPointConverter.cpp:31</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_invalid_argument_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00080">Exceptions.hpp:80</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimized_network_impl_xhtml_a06d0b70cbc134b412ff7715d9db1617b"><div class="ttname"><a href="classarmnn_1_1_optimized_network_impl.xhtml#a06d0b70cbc134b412ff7715d9db1617b">armnn::OptimizedNetworkImpl::~OptimizedNetworkImpl</a></div><div class="ttdeci">virtual ~OptimizedNetworkImpl()</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02963">Network.cpp:2963</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_xhtml_af0f796fba1a2be9c56b4c9ee534577ee"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#af0f796fba1a2be9c56b4c9ee534577ee">armnn::LstmInputParams::m_ForgetLayerNormWeights</a></div><div class="ttdeci">const ConstTensor * m_ForgetLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00058">LstmParams.hpp:58</a></div></div>
<div class="ttc" id="astructarmnn_1_1_instance_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.xhtml">armnn::InstanceNormalizationDescriptor</a></div><div class="ttdoc">An InstanceNormalizationDescriptor for InstanceNormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00835">Descriptors.hpp:835</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a8f798e19187ac7ae6ae6153ee64ab645"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a8f798e19187ac7ae6ae6153ee64ab645">armnn::INetwork::AddBatchNormalizationLayer</a></div><div class="ttdeci">IConnectableLayer * AddBatchNormalizationLayer(const BatchNormalizationDescriptor &desc, const ConstTensor &mean, const ConstTensor &variance, const ConstTensor &beta, const ConstTensor &gamma, const char *name=nullptr)</div><div class="ttdoc">Adds a batch normalization layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00416">Network.cpp:416</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_xhtml_ae0b1382e3af141896a46531c50e8863f"><div class="ttname"><a href="namespacearmnn_1_1optimizations.xhtml#ae0b1382e3af141896a46531c50e8863f">armnn::optimizations::PermuteAsReshape</a></div><div class="ttdeci">OptimizeForType< PermuteLayer, PermuteAsReshapeImpl > PermuteAsReshape</div><div class="ttdef"><b>Definition:</b> <a href="_permute_as_reshape_8hpp_source.xhtml#l00066">PermuteAsReshape.hpp:66</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a8de6b047fcaff95df48dca683e1f3aa4"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a8de6b047fcaff95df48dca683e1f3aa4">armnn::NetworkImpl::AddSliceLayer</a></div><div class="ttdeci">IConnectableLayer * AddSliceLayer(const SliceDescriptor &sliceDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02198">Network.cpp:2198</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_aa6c1c42ea44777302e87ce0fad5ac510"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#aa6c1c42ea44777302e87ce0fad5ac510">armnn::INetwork::AddInputLayer</a></div><div class="ttdeci">IConnectableLayer * AddInputLayer(LayerBindingId id, const char *name=nullptr)</div><div class="ttdoc">Adds an input layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00241">Network.cpp:241</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_xhtml_a44b0e6b16708df7f0d2bbab141688aaa"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#a44b0e6b16708df7f0d2bbab141688aaa">armnn::LstmInputParams::m_ProjectionBias</a></div><div class="ttdeci">const ConstTensor * m_ProjectionBias</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00056">LstmParams.hpp:56</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a0b426a3feffc76e66d73b5761806e899"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a0b426a3feffc76e66d73b5761806e899">armnn::NetworkImpl::AddQuantizeLayer</a></div><div class="ttdeci">IConnectableLayer * AddQuantizeLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02489">Network.cpp:2489</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_adc8c1c505bca8233fe238b3b7fb80200"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#adc8c1c505bca8233fe238b3b7fb80200">armnn::INetwork::AddArgMinMaxLayer</a></div><div class="ttdeci">IConnectableLayer * AddArgMinMaxLayer(const ArgMinMaxDescriptor &desc, const char *name=nullptr)</div><div class="ttdoc">Adds an ArgMinMax layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00246">Network.cpp:246</a></div></div>
<div class="ttc" id="a_graph_8hpp_xhtml"><div class="ttname"><a href="_graph_8hpp.xhtml">Graph.hpp</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_xhtml_a8c0f6d48705f40c5590dde09be262222"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#a8c0f6d48705f40c5590dde09be262222">armnn::LstmInputParams::m_OutputGateBias</a></div><div class="ttdeci">const ConstTensor * m_OutputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00054">LstmParams.hpp:54</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimized_network_impl_xhtml_a8d8179a4a0703602a5d7dbb6e92eaf69"><div class="ttname"><a href="classarmnn_1_1_optimized_network_impl.xhtml#a8d8179a4a0703602a5d7dbb6e92eaf69">armnn::OptimizedNetworkImpl::GetNumInputs</a></div><div class="ttdeci">virtual size_t GetNumInputs() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00722">Network.cpp:722</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_elementwise_unary_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_elementwise_unary_layer.xhtml">armnn::ElementwiseUnaryLayer</a></div><div class="ttdoc">This layer represents a elementwiseUnary operation.</div><div class="ttdef"><b>Definition:</b> <a href="_elementwise_unary_layer_8hpp_source.xhtml#l00014">ElementwiseUnaryLayer.hpp:14</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64"><div class="ttname"><a href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">armnn::Compute::CpuRef</a></div><div class="ttdeci">@ CpuRef</div><div class="ttdoc">CPU Execution: Reference C++ kernels.</div></div>
<div class="ttc" id="astructarmnn_1_1_optimizer_options_xhtml"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.xhtml">armnn::OptimizerOptions</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00139">INetwork.hpp:139</a></div></div>
<div class="ttc" id="astructarmnn_1_1_elementwise_binary_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_elementwise_binary_descriptor.xhtml">armnn::ElementwiseBinaryDescriptor</a></div><div class="ttdoc">A ElementwiseBinaryDescriptor for the ElementwiseBinaryLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00109">Descriptors.hpp:109</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_output_layer.xhtml">armnn::OutputLayer</a></div><div class="ttdoc">A layer user-provided data can be bound to (e.g. inputs, outputs).</div><div class="ttdef"><b>Definition:</b> <a href="_output_layer_8hpp_source.xhtml#l00013">OutputLayer.hpp:13</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a7dfc9717e76257867ad0a9239f210df0"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a7dfc9717e76257867ad0a9239f210df0">armnn::INetwork::AddLogicalBinaryLayer</a></div><div class="ttdeci">IConnectableLayer * AddLogicalBinaryLayer(const LogicalBinaryDescriptor &descriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a Logical Binary layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00616">Network.cpp:616</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_quantize_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_quantize_layer.xhtml">armnn::QuantizeLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_quantize_layer_8hpp_source.xhtml#l00016">QuantizeLayer.hpp:16</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_aff209afc1dc598da399e3e78617ce016ac366da48cc11956ae377a77751936852"><div class="ttname"><a href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016ac366da48cc11956ae377a77751936852">armnn::EdgeStrategy::CopyToTarget</a></div><div class="ttdeci">@ CopyToTarget</div><div class="ttdoc">Source backends tensor data can be exported to destination backend tensor without copy.</div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00198">Tensor.hpp:198</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_xhtml_a8341ca3512ebafb19d60eba44d40d9e4"><div class="ttname"><a href="namespacearmnn_1_1optimizations.xhtml#a8341ca3512ebafb19d60eba44d40d9e4">armnn::optimizations::OptimizeConsecutiveReshapes</a></div><div class="ttdeci">OptimizeForConnection< ReshapeLayer, ReshapeLayer, OptimizeConsecutiveReshapesImpl > OptimizeConsecutiveReshapes</div><div class="ttdef"><b>Definition:</b> <a href="_optimize_consecutive_reshapes_8hpp_source.xhtml#l00061">OptimizeConsecutiveReshapes.hpp:61</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a0a2fdd4f442952c97a8f24de6700473a"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a0a2fdd4f442952c97a8f24de6700473a">armnn::INetwork::AddLstmLayer</a></div><div class="ttdeci">IConnectableLayer * AddLstmLayer(const LstmDescriptor &descriptor, const LstmInputParams &params, const char *name=nullptr)</div><div class="ttdoc">Add a Lstm layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00494">Network.cpp:494</a></div></div>
<div class="ttc" id="a_all_8hpp_xhtml"><div class="ttname"><a href="_all_8hpp.xhtml">All.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a6f6d81d8a4f1f85f3616e8306760061c"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a6f6d81d8a4f1f85f3616e8306760061c">armnn::NetworkImpl::AddSplitterLayer</a></div><div class="ttdeci">IConnectableLayer * AddSplitterLayer(const ViewsDescriptor &splitterDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02209">Network.cpp:2209</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a72b9d30e9d555bb5c35460b62faedf0d"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a72b9d30e9d555bb5c35460b62faedf0d">armnn::NetworkImpl::AddSpaceToBatchNdLayer</a></div><div class="ttdeci">IConnectableLayer * AddSpaceToBatchNdLayer(const SpaceToBatchNdDescriptor &spaceToBatchNdDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02311">Network.cpp:2311</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_xhtml_a8c0b43721b8e82c9518e4a53b47c78e4"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.xhtml#a8c0b43721b8e82c9518e4a53b47c78e4">armnn::OptimizerOptionsOpaque::SetExportEnabled</a></div><div class="ttdeci">void SetExportEnabled(bool ExportState)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00115">Network.cpp:115</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_xhtml_a98f54d4391347d517c7a7869e7707203"><div class="ttname"><a href="namespacearmnn_1_1optimizations.xhtml#a98f54d4391347d517c7a7869e7707203">armnn::optimizations::TransposeAndBatchToSpaceAsDepthToSpace</a></div><div class="ttdeci">OptimizeForConnection< TransposeLayer, BatchToSpaceNdLayer, PermuteAndBatchToSpaceAsDepthToSpaceImpl< TransposeLayer > > TransposeAndBatchToSpaceAsDepthToSpace</div><div class="ttdef"><b>Definition:</b> <a href="_permute_and_batch_to_space_as_depth_to_space_8hpp_source.xhtml#l00104">PermuteAndBatchToSpaceAsDepthToSpace.hpp:104</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a6f6d81d8a4f1f85f3616e8306760061c"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a6f6d81d8a4f1f85f3616e8306760061c">armnn::INetwork::AddSplitterLayer</a></div><div class="ttdeci">IConnectableLayer * AddSplitterLayer(const ViewsDescriptor &splitterDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a splitter layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00391">Network.cpp:391</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimized_network_impl_xhtml_a604654b453ec291a503d62a0beb849d3"><div class="ttname"><a href="classarmnn_1_1_optimized_network_impl.xhtml#a604654b453ec291a503d62a0beb849d3">armnn::OptimizedNetworkImpl::GetNumOutputs</a></div><div class="ttdeci">virtual size_t GetNumOutputs() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00727">Network.cpp:727</a></div></div>
<div class="ttc" id="astructarmnn_1_1_optimizer_options_xhtml_a69eb14082d40fa0a3cff50457344a5e0"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.xhtml#a69eb14082d40fa0a3cff50457344a5e0">armnn::OptimizerOptions::m_Debug</a></div><div class="ttdeci">bool m_Debug</div><div class="ttdoc">Add debug data for easier troubleshooting.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00228">INetwork.hpp:228</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_profiler_manager_xhtml_a7b1e3e5bf386004541be2b5b22443208"><div class="ttname"><a href="classarmnn_1_1_profiler_manager.xhtml#a7b1e3e5bf386004541be2b5b22443208">armnn::ProfilerManager::RegisterProfiler</a></div><div class="ttdeci">void RegisterProfiler(IProfiler *profiler)</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8cpp_source.xhtml#l00600">Profiling.cpp:600</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_ae0cfae1ea51669892608a1a060d24fa0"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#ae0cfae1ea51669892608a1a060d24fa0">armnn::NetworkImpl::AddReduceLayer</a></div><div class="ttdeci">IConnectableLayer * AddReduceLayer(const ReduceDescriptor &reduceDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02262">Network.cpp:2262</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a30528a3bd85a0dba158bd14e252bd68a"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a30528a3bd85a0dba158bd14e252bd68a">armnn::INetwork::AddSoftmaxLayer</a></div><div class="ttdeci">IConnectableLayer * AddSoftmaxLayer(const SoftmaxDescriptor &softmaxDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a softmax layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00385">Network.cpp:385</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_xhtml_a78aff12fa10e9a2df9989a469ba0b7bd"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.xhtml#a78aff12fa10e9a2df9989a469ba0b7bd">armnn::OptimizerOptionsOpaque::SetProfilingEnabled</a></div><div class="ttdeci">void SetProfilingEnabled(bool ProfilingState)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00120">Network.cpp:120</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_addb6b14dd1b632263ffe77430259a7c4"><div class="ttname"><a href="namespacearmnn.xhtml#addb6b14dd1b632263ffe77430259a7c4">armnn::GetLayerTypeAsCString</a></div><div class="ttdeci">const char * GetLayerTypeAsCString(LayerType type)</div><div class="ttdef"><b>Definition:</b> <a href="_internal_types_8cpp_source.xhtml#l00013">InternalTypes.cpp:13</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div><div class="ttdeci">@ info</div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_af5790069aa11fd1c5bb2e17cecb06528"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#af5790069aa11fd1c5bb2e17cecb06528">armnn::INetwork::AddOutputLayer</a></div><div class="ttdeci">IConnectableLayer * AddOutputLayer(LayerBindingId id, const char *name=nullptr)</div><div class="ttdoc">Adds an output layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00489">Network.cpp:489</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a6e2df484ecc65bc82712590b96e04df4"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a6e2df484ecc65bc82712590b96e04df4">armnn::NetworkImpl::AddPadLayer</a></div><div class="ttdeci">IConnectableLayer * AddPadLayer(const PadDescriptor &padDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02484">Network.cpp:2484</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a471991a84030eb3ae601da2bee757870"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a471991a84030eb3ae601da2bee757870">armnn::INetwork::AddFullyConnectedLayer</a></div><div class="ttdeci">IConnectableLayer * AddFullyConnectedLayer(const FullyConnectedDescriptor &fullyConnectedDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a fully connected layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00331">Network.cpp:331</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a5f34318a121e010053655204df94720c"><div class="ttname"><a href="namespacearmnn.xhtml#a5f34318a121e010053655204df94720c">armnn::CalculateSlotOptionForInput</a></div><div class="ttdeci">ITensorHandleFactory::FactoryId CalculateSlotOptionForInput(BackendsMap &backends, OutputSlot &slot, TensorHandleFactoryRegistry &registry, bool importEnabled)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01368">Network.cpp:1368</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_stack_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_stack_layer.xhtml">armnn::StackLayer</a></div><div class="ttdoc">This layer represents a stack operation.</div><div class="ttdef"><b>Definition:</b> <a href="_stack_layer_8hpp_source.xhtml#l00013">StackLayer.hpp:13</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_adf57837d00e8352d9b5cc5ab1fb5fee9a5dd7c525cb1500a2181fd4cc079d7acb"><div class="ttname"><a href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9a5dd7c525cb1500a2181fd4cc079d7acb">armnn::ShapeInferenceMethod::InferAndValidate</a></div><div class="ttdeci">@ InferAndValidate</div><div class="ttdoc">Infer missing output shapes and validate all output shapes.</div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_xhtml_a8a3380be13fba749fc4208214b049347"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a8a3380be13fba749fc4208214b049347">armnn::INetwork::AddReshapeLayer</a></div><div class="ttdeci">IConnectableLayer * AddReshapeLayer(const ReshapeDescriptor &reshapeDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a reshape layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00467">Network.cpp:467</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_xhtml_a1ba03515c88a4c042bffa446d306caf0"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a1ba03515c88a4c042bffa446d306caf0">armnn::NetworkImpl::NetworkImpl</a></div><div class="ttdeci">NetworkImpl(const NetworkOptions &networkOptions={})</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02044">Network.cpp:2044</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_xhtml_aac024dacf704e6933d1a6b18d5330738"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.xhtml#aac024dacf704e6933d1a6b18d5330738">armnn::OptimizerOptionsOpaque::GetModelOptions</a></div><div class="ttdeci">armnn::ModelOptions GetModelOptions() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00195">Network.cpp:195</a></div></div>
<div class="ttc" id="astructarmnn_1_1_space_to_batch_nd_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml">armnn::SpaceToBatchNdDescriptor</a></div><div class="ttdoc">A SpaceToBatchNdDescriptor for the SpaceToBatchNdLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01010">Descriptors.hpp:1010</a></div></div>
<div class="ttc" id="a_deprecated_8hpp_xhtml_ad762b11b48e5c1d1c1743f529485728a"><div class="ttname"><a href="_deprecated_8hpp.xhtml#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div><div class="ttdeci">#define ARMNN_NO_DEPRECATE_WARN_END</div><div class="ttdef"><b>Definition:</b> <a href="_deprecated_8hpp_source.xhtml#l00034">Deprecated.hpp:34</a></div></div>
<div class="ttc" id="astructarmnn_1_1_optimizer_options_xhtml_a05c1bba6ba3ecc1339d4c4c10c0d8890"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.xhtml#a05c1bba6ba3ecc1339d4c4c10c0d8890">armnn::OptimizerOptions::m_ImportEnabled</a></div><div class="ttdeci">bool m_ImportEnabled</div><div class="ttdoc">Enable Import.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00241">INetwork.hpp:241</a></div></div>
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