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| <div class="title">Network.cpp</div> </div> |
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| <div class="contents"> |
| <a href="_network_8cpp.html">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.html">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.html">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.html">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.html">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.html">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.html">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.html">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.html">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.html">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.html">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.html">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.html">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.html">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.html">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.html">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.html">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.html">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.html">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.html">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.html">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.html">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> <span class="preprocessor">#include <<a class="code" href="_arm_n_n_8hpp.html">armnn/ArmNN.hpp</a>></span></div> |
| <div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  </div> |
| <div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div> |
| <div class="line"><a name="l00043"></a><span class="lineno"> 43</span> {</div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  </div> |
| <div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a2d936beb0fcf3c5d22ff332f0812b05e"> 45</a></span> <a class="code" href="classarmnn_1_1_i_network.html#a2d936beb0fcf3c5d22ff332f0812b05e">INetwork::INetwork</a>(<a class="code" href="namespacearmnn.html#a4de71c3661093e5c4ae7775114f43413">NetworkOptions</a> networkOptions) : pNetworkImpl(new <a class="code" href="classarmnn_1_1_network_impl.html">NetworkImpl</a>(networkOptions)) {}</div> |
| <div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  </div> |
| <div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <a class="code" href="classarmnn_1_1_i_network.html#af760179196d57e2ddbc64b989fb72586">INetwork::~INetwork</a>() = <span class="keywordflow">default</span>;</div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  </div> |
| <div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.html#a58fbf98b638ebabb8bad26760f20a554"> 49</a></span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a58fbf98b638ebabb8bad26760f20a554">OptimizerOptionsOpaque::OptimizerOptionsOpaque</a>()</div> |
| <div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  : p_OptimizerOptionsImpl(<a class="code" href="namespacestd.html">std</a>::make_unique<<a class="code" href="structarmnn_1_1_optimizer_options_opaque_impl.html">OptimizerOptionsOpaqueImpl</a>>())</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"> 53</span>  </div> |
| <div class="line"><a name="l00054"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.html#a2fb40bb826b5ecdeb999e13126215782"> 54</a></span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a58fbf98b638ebabb8bad26760f20a554">OptimizerOptionsOpaque::OptimizerOptionsOpaque</a>(<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html">OptimizerOptionsOpaque</a> <span class="keyword">const</span> &other)</div> |
| <div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  : p_OptimizerOptionsImpl(<a class="code" href="namespacestd.html">std</a>::make_unique<<a class="code" href="structarmnn_1_1_optimizer_options_opaque_impl.html">OptimizerOptionsOpaqueImpl</a>>(*other.p_OptimizerOptionsImpl))</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>  </div> |
| <div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a05c07a263bb054a828db2fe3f841e31f">OptimizerOptionsOpaque::~OptimizerOptionsOpaque</a>() = <span class="keywordflow">default</span>;</div> |
| <div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  </div> |
| <div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.html#af3b3e17e6f79fadd438805fe13956b98"> 61</a></span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#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="l00062"></a><span class="lineno"> 62</span>  <span class="keywordtype">bool</span> importEnabled, <a class="code" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> modelOptions, <span class="keywordtype">bool</span> exportEnabled,</div> |
| <div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordtype">bool</span> debugToFile)</div> |
| <div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  : p_OptimizerOptionsImpl(<a class="code" href="namespacestd.html">std</a>::make_unique<<a class="code" href="structarmnn_1_1_optimizer_options_opaque_impl.html">OptimizerOptionsOpaqueImpl</a>>(reduceFp32ToFp16, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407aad42f6697b035b7580e4fef93be20b4d">debug</a>, reduceFp32ToBf16,</div> |
| <div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  importEnabled, modelOptions,</div> |
| <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  exportEnabled, debugToFile))</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"> 69</span>  </div> |
| <div class="line"><a name="l00070"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.html#a5a5cbe61a397febcbfb296429696e495"> 70</a></span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#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="l00071"></a><span class="lineno"> 71</span>  <a class="code" href="namespacearmnn.html#adf57837d00e8352d9b5cc5ab1fb5fee9">ShapeInferenceMethod</a> shapeInferenceMethod,</div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordtype">bool</span> importEnabled, <a class="code" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> modelOptions, <span class="keywordtype">bool</span> exportEnabled,</div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordtype">bool</span> debugToFile, <span class="keywordtype">bool</span> allowExpandedDims)</div> |
| <div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  : p_OptimizerOptionsImpl(<a class="code" href="namespacestd.html">std</a>::make_unique<<a class="code" href="structarmnn_1_1_optimizer_options_opaque_impl.html">OptimizerOptionsOpaqueImpl</a>>(reduceFp32ToFp16, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407aad42f6697b035b7580e4fef93be20b4d">debug</a>, reduceFp32ToBf16,</div> |
| <div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  shapeInferenceMethod, importEnabled,</div> |
| <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  modelOptions, exportEnabled,</div> |
| <div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  debugToFile, allowExpandedDims))</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"> 80</span>  </div> |
| <div class="line"><a name="l00081"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.html#a5cb3fac3482393c675a885e6bfd98ce6"> 81</a></span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a58fbf98b638ebabb8bad26760f20a554">OptimizerOptionsOpaque::OptimizerOptionsOpaque</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_optimizer_options.html">OptimizerOptions</a>& OptimizerStruct)</div> |
| <div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  : p_OptimizerOptionsImpl(<a class="code" href="namespacestd.html">std</a>::make_unique<<a class="code" href="structarmnn_1_1_optimizer_options_opaque_impl.html">OptimizerOptionsOpaqueImpl</a>>())</div> |
| <div class="line"><a name="l00083"></a><span class="lineno"> 83</span> {</div> |
| <div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  p_OptimizerOptionsImpl->m_ImportEnabled = OptimizerStruct.<a class="code" href="structarmnn_1_1_optimizer_options.html#a05c1bba6ba3ecc1339d4c4c10c0d8890">m_ImportEnabled</a>;</div> |
| <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  p_OptimizerOptionsImpl->m_shapeInferenceMethod = OptimizerStruct.<a class="code" href="structarmnn_1_1_optimizer_options.html#a9416d94a8aad7cdfa47eb35e825cbda5">m_shapeInferenceMethod</a>;</div> |
| <div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  p_OptimizerOptionsImpl->m_ModelOptions = OptimizerStruct.<a class="code" href="structarmnn_1_1_optimizer_options.html#a71194277c60153a5f86539f5d39f01db">m_ModelOptions</a>;</div> |
| <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  p_OptimizerOptionsImpl->m_ProfilingEnabled = OptimizerStruct.<a class="code" href="structarmnn_1_1_optimizer_options.html#a1b1892da2aaf7eaedaa38671d56b7f19">m_ProfilingEnabled</a>;</div> |
| <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  p_OptimizerOptionsImpl->m_DebugToFile = OptimizerStruct.<a class="code" href="structarmnn_1_1_optimizer_options.html#afc07add3304c3d79293acb881c2168df">m_DebugToFile</a>;</div> |
| <div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  p_OptimizerOptionsImpl->m_Debug = OptimizerStruct.<a class="code" href="structarmnn_1_1_optimizer_options.html#a69eb14082d40fa0a3cff50457344a5e0">m_Debug</a>;</div> |
| <div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  p_OptimizerOptionsImpl->m_ReduceFp32ToFp16 = OptimizerStruct.<a class="code" href="structarmnn_1_1_optimizer_options.html#a6e1a42622ca43dafc7ba8e684c016eb4">m_ReduceFp32ToFp16</a>;</div> |
| <div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  p_OptimizerOptionsImpl->m_ExportEnabled = OptimizerStruct.<a class="code" href="structarmnn_1_1_optimizer_options.html#a0054f53e4e70bb39c000bcf240627b18">m_ExportEnabled</a>;</div> |
| <div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  p_OptimizerOptionsImpl->m_AllowExpandedDims = OptimizerStruct.<a class="code" href="structarmnn_1_1_optimizer_options.html#a9ef8ddbeee4b869e4c68eb2ed278b8d9">m_AllowExpandedDims</a>;</div> |
| <div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  p_OptimizerOptionsImpl->m_ReduceFp32ToBf16 = OptimizerStruct.<a class="code" href="structarmnn_1_1_optimizer_options.html#a11f463726addcc1d2845266997d79e9c">m_ReduceFp32ToBf16</a>;</div> |
| <div class="line"><a name="l00094"></a><span class="lineno"> 94</span> }</div> |
| <div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  </div> |
| <div class="line"><a name="l00096"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.html#a2bb6d411e26a7eb77664bd7040e7e8ab"> 96</a></span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html">OptimizerOptionsOpaque</a>& <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a2bb6d411e26a7eb77664bd7040e7e8ab">OptimizerOptionsOpaque::operator= </a>(<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html">OptimizerOptionsOpaque</a> other)</div> |
| <div class="line"><a name="l00097"></a><span class="lineno"> 97</span> {</div> |
| <div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  p_OptimizerOptionsImpl->m_ImportEnabled = other.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a3cb5ef29e47f60acd88b16d6fee254f5">GetImportEnabled</a>();</div> |
| <div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  p_OptimizerOptionsImpl->m_shapeInferenceMethod = other.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a4d0994094ec68328df73a00304fb4af6">GetShapeInferenceMethod</a>();</div> |
| <div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  p_OptimizerOptionsImpl->m_ModelOptions = other.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#aac024dacf704e6933d1a6b18d5330738">GetModelOptions</a>();</div> |
| <div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  p_OptimizerOptionsImpl->m_ProfilingEnabled = other.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a4527a67076f983e8db3496207d120fb5">GetProfilingEnabled</a>();</div> |
| <div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  p_OptimizerOptionsImpl->m_DebugToFile = other.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a8933eb842c6152f61535b69bd37c867e">GetDebugToFileEnabled</a>();</div> |
| <div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  p_OptimizerOptionsImpl->m_Debug = other.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a5c25504e5efe52a17f5b0ca45753aaf0">GetDebugEnabled</a>();</div> |
| <div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  p_OptimizerOptionsImpl->m_ReduceFp32ToFp16 = other.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a70dc46a7e4105cf24df5a5bb58ae07a5">GetReduceFp32ToFp16</a>();</div> |
| <div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  p_OptimizerOptionsImpl->m_ExportEnabled = other.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#af7a1f38591d1a19952ac13515becc894">GetExportEnabled</a>();</div> |
| <div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  p_OptimizerOptionsImpl->m_AllowExpandedDims = other.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#ad6f282c92535e2be398a9b350d4e2ee9">GetAllowExpandedDims</a>();</div> |
| <div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  p_OptimizerOptionsImpl->m_ReduceFp32ToBf16 = other.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a41297bcbc0f576cba32fabcdb2f893b8">GetReduceFp32ToBf16</a>();</div> |
| <div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordflow">return</span> *<span class="keyword">this</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"> 110</span>  </div> |
| <div class="line"><a name="l00111"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.html#a9258f2763407b5dec4c88f7f6109cbd7"> 111</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a9258f2763407b5dec4c88f7f6109cbd7">OptimizerOptionsOpaque::SetImportEnabled</a>(<span class="keywordtype">bool</span> ImportState)</div> |
| <div class="line"><a name="l00112"></a><span class="lineno"> 112</span> {</div> |
| <div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  p_OptimizerOptionsImpl->m_ImportEnabled = ImportState;</div> |
| <div class="line"><a name="l00114"></a><span class="lineno"> 114</span> }</div> |
| <div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  </div> |
| <div class="line"><a name="l00116"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.html#a8c0b43721b8e82c9518e4a53b47c78e4"> 116</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a8c0b43721b8e82c9518e4a53b47c78e4">OptimizerOptionsOpaque::SetExportEnabled</a>(<span class="keywordtype">bool</span> ExportState)</div> |
| <div class="line"><a name="l00117"></a><span class="lineno"> 117</span> {</div> |
| <div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  p_OptimizerOptionsImpl->m_ExportEnabled = ExportState;</div> |
| <div class="line"><a name="l00119"></a><span class="lineno"> 119</span> }</div> |
| <div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  </div> |
| <div class="line"><a name="l00121"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.html#a78aff12fa10e9a2df9989a469ba0b7bd"> 121</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a78aff12fa10e9a2df9989a469ba0b7bd">OptimizerOptionsOpaque::SetProfilingEnabled</a>(<span class="keywordtype">bool</span> ProfilingState)</div> |
| <div class="line"><a name="l00122"></a><span class="lineno"> 122</span> {</div> |
| <div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  p_OptimizerOptionsImpl->m_ProfilingEnabled = ProfilingState;</div> |
| <div class="line"><a name="l00124"></a><span class="lineno"> 124</span> }</div> |
| <div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  </div> |
| <div class="line"><a name="l00126"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.html#a2559eecf0b1317953b2ec24e83d0f0b4"> 126</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a2559eecf0b1317953b2ec24e83d0f0b4">OptimizerOptionsOpaque::SetDebugEnabled</a>(<span class="keywordtype">bool</span> DebugState)</div> |
| <div class="line"><a name="l00127"></a><span class="lineno"> 127</span> {</div> |
| <div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  p_OptimizerOptionsImpl->m_Debug = DebugState;</div> |
| <div class="line"><a name="l00129"></a><span class="lineno"> 129</span> }</div> |
| <div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  </div> |
| <div class="line"><a name="l00131"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.html#a8a2218764dede9c24b0e52833469b5fe"> 131</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a8a2218764dede9c24b0e52833469b5fe">OptimizerOptionsOpaque::SetDebugToFileEnabled</a>(<span class="keywordtype">bool</span> DebugFileState)</div> |
| <div class="line"><a name="l00132"></a><span class="lineno"> 132</span> {</div> |
| <div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  p_OptimizerOptionsImpl->m_DebugToFile = DebugFileState;</div> |
| <div class="line"><a name="l00134"></a><span class="lineno"> 134</span> }</div> |
| <div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  </div> |
| <div class="line"><a name="l00136"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.html#a4c8ca1fa6bed9a68a78ab00f02d0fb38"> 136</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a4c8ca1fa6bed9a68a78ab00f02d0fb38">OptimizerOptionsOpaque::SetReduceFp32ToFp16</a>(<span class="keywordtype">bool</span> ReduceFp32ToFp16State)</div> |
| <div class="line"><a name="l00137"></a><span class="lineno"> 137</span> {</div> |
| <div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  p_OptimizerOptionsImpl->m_ReduceFp32ToFp16 = ReduceFp32ToFp16State;</div> |
| <div class="line"><a name="l00139"></a><span class="lineno"> 139</span> }</div> |
| <div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  </div> |
| <div class="line"><a name="l00141"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.html#acad25c09a856d551c88b183f08edc2c1"> 141</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#acad25c09a856d551c88b183f08edc2c1">OptimizerOptionsOpaque::SetShapeInferenceMethod</a>(<a class="code" href="namespacearmnn.html#adf57837d00e8352d9b5cc5ab1fb5fee9">armnn::ShapeInferenceMethod</a> ShapeInferenceMethodType)</div> |
| <div class="line"><a name="l00142"></a><span class="lineno"> 142</span> {</div> |
| <div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  p_OptimizerOptionsImpl->m_shapeInferenceMethod = ShapeInferenceMethodType;</div> |
| <div class="line"><a name="l00144"></a><span class="lineno"> 144</span> }</div> |
| <div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  </div> |
| <div class="line"><a name="l00146"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.html#a5a864f9b972da52f3ca9028f1c8ee44a"> 146</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a5a864f9b972da52f3ca9028f1c8ee44a">OptimizerOptionsOpaque::SetAllowExpandedDims</a>(<span class="keywordtype">bool</span> ExpandedDimsAllowed)</div> |
| <div class="line"><a name="l00147"></a><span class="lineno"> 147</span> {</div> |
| <div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  p_OptimizerOptionsImpl->m_AllowExpandedDims = ExpandedDimsAllowed;</div> |
| <div class="line"><a name="l00149"></a><span class="lineno"> 149</span> }</div> |
| <div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  </div> |
| <div class="line"><a name="l00151"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.html#a1ad03005dfb602c109a1b4fed7fca9e3"> 151</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a1ad03005dfb602c109a1b4fed7fca9e3">OptimizerOptionsOpaque::AddModelOption</a>(<a class="code" href="structarmnn_1_1_backend_options.html">armnn::BackendOptions</a> NewModelOption)</div> |
| <div class="line"><a name="l00152"></a><span class="lineno"> 152</span> {</div> |
| <div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  p_OptimizerOptionsImpl->m_ModelOptions.push_back(NewModelOption);</div> |
| <div class="line"><a name="l00154"></a><span class="lineno"> 154</span> }</div> |
| <div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  </div> |
| <div class="line"><a name="l00156"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.html#a4527a67076f983e8db3496207d120fb5"> 156</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a4527a67076f983e8db3496207d120fb5">OptimizerOptionsOpaque::GetProfilingEnabled</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00157"></a><span class="lineno"> 157</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordflow">return</span> p_OptimizerOptionsImpl->m_ProfilingEnabled;</div> |
| <div class="line"><a name="l00159"></a><span class="lineno"> 159</span> };</div> |
| <div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  </div> |
| <div class="line"><a name="l00161"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.html#a3cb5ef29e47f60acd88b16d6fee254f5"> 161</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a3cb5ef29e47f60acd88b16d6fee254f5">OptimizerOptionsOpaque::GetImportEnabled</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00162"></a><span class="lineno"> 162</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keywordflow">return</span> p_OptimizerOptionsImpl->m_ImportEnabled;</div> |
| <div class="line"><a name="l00164"></a><span class="lineno"> 164</span> };</div> |
| <div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  </div> |
| <div class="line"><a name="l00166"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.html#af7a1f38591d1a19952ac13515becc894"> 166</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#af7a1f38591d1a19952ac13515becc894">OptimizerOptionsOpaque::GetExportEnabled</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00167"></a><span class="lineno"> 167</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keywordflow">return</span> p_OptimizerOptionsImpl->m_ExportEnabled;</div> |
| <div class="line"><a name="l00169"></a><span class="lineno"> 169</span> };</div> |
| <div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  </div> |
| <div class="line"><a name="l00171"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.html#a70dc46a7e4105cf24df5a5bb58ae07a5"> 171</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a70dc46a7e4105cf24df5a5bb58ae07a5">OptimizerOptionsOpaque::GetReduceFp32ToFp16</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00172"></a><span class="lineno"> 172</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordflow">return</span> p_OptimizerOptionsImpl->m_ReduceFp32ToFp16;</div> |
| <div class="line"><a name="l00174"></a><span class="lineno"> 174</span> };</div> |
| <div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  </div> |
| <div class="line"><a name="l00176"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.html#a41297bcbc0f576cba32fabcdb2f893b8"> 176</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a41297bcbc0f576cba32fabcdb2f893b8">OptimizerOptionsOpaque::GetReduceFp32ToBf16</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00177"></a><span class="lineno"> 177</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keywordflow">return</span> p_OptimizerOptionsImpl->m_ReduceFp32ToBf16;</div> |
| <div class="line"><a name="l00179"></a><span class="lineno"> 179</span> }</div> |
| <div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  </div> |
| <div class="line"><a name="l00181"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.html#a5c25504e5efe52a17f5b0ca45753aaf0"> 181</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a5c25504e5efe52a17f5b0ca45753aaf0">OptimizerOptionsOpaque::GetDebugEnabled</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00182"></a><span class="lineno"> 182</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="keywordflow">return</span> p_OptimizerOptionsImpl->m_Debug;</div> |
| <div class="line"><a name="l00184"></a><span class="lineno"> 184</span> }</div> |
| <div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  </div> |
| <div class="line"><a name="l00186"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.html#a8933eb842c6152f61535b69bd37c867e"> 186</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a8933eb842c6152f61535b69bd37c867e">OptimizerOptionsOpaque::GetDebugToFileEnabled</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00187"></a><span class="lineno"> 187</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keywordflow">return</span> p_OptimizerOptionsImpl->m_DebugToFile;</div> |
| <div class="line"><a name="l00189"></a><span class="lineno"> 189</span> }</div> |
| <div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  </div> |
| <div class="line"><a name="l00191"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.html#ad6f282c92535e2be398a9b350d4e2ee9"> 191</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#ad6f282c92535e2be398a9b350d4e2ee9">OptimizerOptionsOpaque::GetAllowExpandedDims</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00192"></a><span class="lineno"> 192</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keywordflow">return</span> p_OptimizerOptionsImpl->m_AllowExpandedDims;</div> |
| <div class="line"><a name="l00194"></a><span class="lineno"> 194</span> }</div> |
| <div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  </div> |
| <div class="line"><a name="l00196"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.html#aac024dacf704e6933d1a6b18d5330738"> 196</a></span> <a class="code" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">armnn::ModelOptions</a> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#aac024dacf704e6933d1a6b18d5330738">OptimizerOptionsOpaque::GetModelOptions</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00197"></a><span class="lineno"> 197</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keywordflow">return</span> p_OptimizerOptionsImpl->m_ModelOptions;</div> |
| <div class="line"><a name="l00199"></a><span class="lineno"> 199</span> }</div> |
| <div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  </div> |
| <div class="line"><a name="l00201"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.html#a4d0994094ec68328df73a00304fb4af6"> 201</a></span> <a class="code" href="namespacearmnn.html#adf57837d00e8352d9b5cc5ab1fb5fee9">armnn::ShapeInferenceMethod</a> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a4d0994094ec68328df73a00304fb4af6">OptimizerOptionsOpaque::GetShapeInferenceMethod</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00202"></a><span class="lineno"> 202</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keywordflow">return</span> p_OptimizerOptionsImpl->m_shapeInferenceMethod;</div> |
| <div class="line"><a name="l00204"></a><span class="lineno"> 204</span> }</div> |
| <div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  </div> |
| <div class="line"><a name="l00206"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimizer_options_opaque.html#a906953de2f5edc60b2c27bd720a70aa4"> 206</a></span> <span class="keyword">const</span> std::string <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a906953de2f5edc60b2c27bd720a70aa4">OptimizerOptionsOpaque::ToString</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00207"></a><span class="lineno"> 207</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  std::stringstream stream;</div> |
| <div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  stream << <span class="stringliteral">"OptimizerOptions: \n"</span>;</div> |
| <div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  stream << <span class="stringliteral">"\tReduceFp32ToFp16: "</span> << p_OptimizerOptionsImpl->m_ReduceFp32ToFp16 << <span class="stringliteral">"\n"</span>;</div> |
| <div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  stream << <span class="stringliteral">"\tReduceFp32ToBf16: "</span> << p_OptimizerOptionsImpl->m_ReduceFp32ToBf16 << <span class="stringliteral">"\n"</span>;</div> |
| <div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  stream << <span class="stringliteral">"\tDebug: "</span> << p_OptimizerOptionsImpl->m_Debug << <span class="stringliteral">"\n"</span>;</div> |
| <div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  stream << <span class="stringliteral">"\tDebug to file: "</span> << p_OptimizerOptionsImpl->m_DebugToFile << <span class="stringliteral">"\n"</span>;</div> |
| <div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  stream << <span class="stringliteral">"\tShapeInferenceMethod: "</span> <<</div> |
| <div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  (p_OptimizerOptionsImpl->m_shapeInferenceMethod == <a class="code" href="namespacearmnn.html#adf57837d00e8352d9b5cc5ab1fb5fee9af6486a22a9bb11959bfae60a3e5174b1">ShapeInferenceMethod::ValidateOnly</a> ?</div> |
| <div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="stringliteral">"ValidateOnly"</span> : <span class="stringliteral">"InferAndValidate"</span>) << <span class="stringliteral">"\n"</span>;</div> |
| <div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  stream << <span class="stringliteral">"\tImportEnabled: "</span> << p_OptimizerOptionsImpl->m_ImportEnabled << <span class="stringliteral">"\n"</span>;</div> |
| <div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  stream << <span class="stringliteral">"\tExportEnabled: "</span> << p_OptimizerOptionsImpl->m_ExportEnabled << <span class="stringliteral">"\n"</span>;</div> |
| <div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  stream << <span class="stringliteral">"\tProfilingEnabled: "</span> << p_OptimizerOptionsImpl->m_ProfilingEnabled << <span class="stringliteral">"\n"</span>;</div> |
| <div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  stream << <span class="stringliteral">"\tAllowExpandedDims: "</span> << p_OptimizerOptionsImpl->m_AllowExpandedDims << <span class="stringliteral">"\n"</span>;</div> |
| <div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  </div> |
| <div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  stream << <span class="stringliteral">"\tModelOptions: \n"</span>;</div> |
| <div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> optionsGroup : p_OptimizerOptionsImpl->m_ModelOptions)</div> |
| <div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  {</div> |
| <div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i=0; i < optionsGroup.GetOptionCount(); i++)</div> |
| <div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  {</div> |
| <div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.html">armnn::BackendOptions::BackendOption</a> option = optionsGroup.GetOption(i);</div> |
| <div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  stream << <span class="stringliteral">"\t\tBackend: "</span> << optionsGroup.GetBackendId() << <span class="stringliteral">"\n"</span></div> |
| <div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  << <span class="stringliteral">"\t\t\tOption: "</span> << option.<a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.html#a9a98946a64f3893b085f650932c9dfee">GetName</a>() << <span class="stringliteral">"\n"</span></div> |
| <div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  << <span class="stringliteral">"\t\t\tValue: "</span> << std::string(option.<a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.html#a9dd404db54065d13616225910db3dec4">GetValue</a>().<a class="code" href="classarmnn_1_1_backend_options_1_1_var.html#a7ef596a0c429a1a74709cf14d8fa15d2">ToString</a>()) << <span class="stringliteral">"\n"</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>  </div> |
| <div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keywordflow">return</span> stream.str();</div> |
| <div class="line"><a name="l00235"></a><span class="lineno"> 235</span> }</div> |
| <div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  </div> |
| <div class="line"><a name="l00237"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#aff3fde909d22ed157046682e70129259"> 237</a></span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> <a class="code" href="classarmnn_1_1_i_network.html#aff3fde909d22ed157046682e70129259">INetwork::PrintGraph</a>()</div> |
| <div class="line"><a name="l00238"></a><span class="lineno"> 238</span> {</div> |
| <div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->PrintGraph();</div> |
| <div class="line"><a name="l00240"></a><span class="lineno"> 240</span> }</div> |
| <div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  </div> |
| <div class="line"><a name="l00242"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#aa6c1c42ea44777302e87ce0fad5ac510"> 242</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#aa6c1c42ea44777302e87ce0fad5ac510">INetwork::AddInputLayer</a>(<a class="code" href="namespacearmnn.html#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="l00243"></a><span class="lineno"> 243</span> {</div> |
| <div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddInputLayer(<span class="keywordtype">id</span>, name);</div> |
| <div class="line"><a name="l00245"></a><span class="lineno"> 245</span> }</div> |
| <div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  </div> |
| <div class="line"><a name="l00247"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#adc8c1c505bca8233fe238b3b7fb80200"> 247</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#adc8c1c505bca8233fe238b3b7fb80200">INetwork::AddArgMinMaxLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.html">ArgMinMaxDescriptor</a>& desc,</div> |
| <div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00249"></a><span class="lineno"> 249</span> {</div> |
| <div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddArgMinMaxLayer(desc, name);</div> |
| <div class="line"><a name="l00251"></a><span class="lineno"> 251</span> }</div> |
| <div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  </div> |
| <div class="line"><a name="l00253"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a72f7f58c37d9d856fcb648b5fa68cf59"> 253</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a72f7f58c37d9d856fcb648b5fa68cf59">INetwork::AddCastLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00254"></a><span class="lineno"> 254</span> {</div> |
| <div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddCastLayer(name);</div> |
| <div class="line"><a name="l00256"></a><span class="lineno"> 256</span> }</div> |
| <div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  </div> |
| <div class="line"><a name="l00258"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#ac7dca3e9f2ab2f2c64b42fc59a67188a"> 258</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#ac7dca3e9f2ab2f2c64b42fc59a67188a">INetwork::AddComparisonLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_comparison_descriptor.html">ComparisonDescriptor</a>& comparisonDescriptor,</div> |
| <div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00260"></a><span class="lineno"> 260</span> {</div> |
| <div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddComparisonLayer(comparisonDescriptor, name);</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"> 264</span>  </div> |
| <div class="line"><a name="l00265"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#aea1059833739d3dccebb3a03ec35a1e6"> 265</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#aea1059833739d3dccebb3a03ec35a1e6">INetwork::AddConcatLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_origins_descriptor.html">ConcatDescriptor</a>& concatDescriptor,</div> |
| <div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00267"></a><span class="lineno"> 267</span> {</div> |
| <div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddConcatLayer(concatDescriptor, name);</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"> 271</span>  </div> |
| <div class="line"><a name="l00272"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a383e74ef080d4a81b8b371be4b840248"> 272</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a383e74ef080d4a81b8b371be4b840248">INetwork::AddConvolution2dLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.html">Convolution2dDescriptor</a>& convolution2dDescriptor,</div> |
| <div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00274"></a><span class="lineno"> 274</span> {</div> |
| <div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddConvolution2dLayer(convolution2dDescriptor, name);</div> |
| <div class="line"><a name="l00276"></a><span class="lineno"> 276</span> }</div> |
| <div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  </div> |
| <div class="line"><a name="l00278"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a43de8213707de0e76d80a32cd4b9b482"> 278</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a43de8213707de0e76d80a32cd4b9b482">INetwork::AddConvolution3dLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution3d_descriptor.html">Convolution3dDescriptor</a>& convolution3dDescriptor,</div> |
| <div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00280"></a><span class="lineno"> 280</span> {</div> |
| <div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddConvolution3dLayer(convolution3dDescriptor, name);</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"> 284</span>  </div> |
| <div class="line"><a name="l00285"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#af1853466264ac187607c96b501a74e2b"> 285</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#af1853466264ac187607c96b501a74e2b">INetwork::AddDepthToSpaceLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html">DepthToSpaceDescriptor</a>& depthToSpaceDescriptor,</div> |
| <div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00287"></a><span class="lineno"> 287</span> {</div> |
| <div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddDepthToSpaceLayer(depthToSpaceDescriptor, name);</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"> 291</span>  </div> |
| <div class="line"><a name="l00292"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#ac6771c8752811fcfa91b3f0dee748144"> 292</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#ac6771c8752811fcfa91b3f0dee748144">INetwork::AddDepthwiseConvolution2dLayer</a>(</div> |
| <div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">DepthwiseConvolution2dDescriptor</a>& convolution2dDescriptor,</div> |
| <div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00295"></a><span class="lineno"> 295</span> {</div> |
| <div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddDepthwiseConvolution2dLayer(convolution2dDescriptor, name);</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"> 299</span>  </div> |
| <div class="line"><a name="l00300"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a357aca04172ed22fa32e5a69122b0fec"> 300</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a357aca04172ed22fa32e5a69122b0fec">INetwork::AddDequantizeLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00301"></a><span class="lineno"> 301</span> {</div> |
| <div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddDequantizeLayer(name);</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"> 305</span>  </div> |
| <div class="line"><a name="l00306"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#ac1134a94265293ea7347180260f787d2"> 306</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#ac1134a94265293ea7347180260f787d2">INetwork::AddDetectionPostProcessLayer</a>(</div> |
| <div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.html">DetectionPostProcessDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>& anchors,</div> |
| <div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00310"></a><span class="lineno"> 310</span> {</div> |
| <div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddDetectionPostProcessLayer(descriptor, anchors, name);</div> |
| <div class="line"><a name="l00312"></a><span class="lineno"> 312</span> }</div> |
| <div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  </div> |
| <div class="line"><a name="l00314"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#aab976306ba3424cbc0c7ea33417d718d"> 314</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#aab976306ba3424cbc0c7ea33417d718d">INetwork::AddElementwiseBinaryLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_binary_descriptor.html">ElementwiseBinaryDescriptor</a>& elementwiseBinaryDescriptor,</div> |
| <div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00316"></a><span class="lineno"> 316</span> {</div> |
| <div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddElementwiseBinaryLayer(elementwiseBinaryDescriptor, name);</div> |
| <div class="line"><a name="l00318"></a><span class="lineno"> 318</span> }</div> |
| <div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  </div> |
| <div class="line"><a name="l00320"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a095a9b700dc857edc23c5d3bf088919f"> 320</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a095a9b700dc857edc23c5d3bf088919f">INetwork::AddElementwiseUnaryLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.html">ElementwiseUnaryDescriptor</a>& elementwiseUnaryDescriptor,</div> |
| <div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00322"></a><span class="lineno"> 322</span> {</div> |
| <div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddElementwiseUnaryLayer(elementwiseUnaryDescriptor, name);</div> |
| <div class="line"><a name="l00324"></a><span class="lineno"> 324</span> }</div> |
| <div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  </div> |
| <div class="line"><a name="l00326"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#afc94c35c0bbe852a60046bf2e756b2e0"> 326</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#afc94c35c0bbe852a60046bf2e756b2e0">INetwork::AddFillLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fill_descriptor.html">FillDescriptor</a>& fillDescriptor,</div> |
| <div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00328"></a><span class="lineno"> 328</span> {</div> |
| <div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddFillLayer(fillDescriptor, name);</div> |
| <div class="line"><a name="l00330"></a><span class="lineno"> 330</span> }</div> |
| <div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  </div> |
| <div class="line"><a name="l00332"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a471991a84030eb3ae601da2bee757870"> 332</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a471991a84030eb3ae601da2bee757870">INetwork::AddFullyConnectedLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fully_connected_descriptor.html">FullyConnectedDescriptor</a>& fullyConnectedDescriptor,</div> |
| <div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00334"></a><span class="lineno"> 334</span> {</div> |
| <div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddFullyConnectedLayer(fullyConnectedDescriptor, name);</div> |
| <div class="line"><a name="l00336"></a><span class="lineno"> 336</span> }</div> |
| <div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  </div> |
| <div class="line"><a name="l00338"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a08f9f3cdeb77b6a0c615e8fa48f0ee94"> 338</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a08f9f3cdeb77b6a0c615e8fa48f0ee94">INetwork::AddFusedLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fused_descriptor.html">FusedDescriptor</a>& fusedDescriptor,</div> |
| <div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00340"></a><span class="lineno"> 340</span> {</div> |
| <div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddFusedLayer(fusedDescriptor, name);</div> |
| <div class="line"><a name="l00342"></a><span class="lineno"> 342</span> }</div> |
| <div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  </div> |
| <div class="line"><a name="l00344"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a11f49d84f0cfd8df65f4d5206cd43b6d"> 344</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a11f49d84f0cfd8df65f4d5206cd43b6d">INetwork::AddPermuteLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_permute_descriptor.html">PermuteDescriptor</a>& permuteDescriptor,</div> |
| <div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00346"></a><span class="lineno"> 346</span> {</div> |
| <div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddPermuteLayer(permuteDescriptor, name);</div> |
| <div class="line"><a name="l00348"></a><span class="lineno"> 348</span> }</div> |
| <div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  </div> |
| <div class="line"><a name="l00350"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a9a9bcc00ae3d96343c93b437d6f77088"> 350</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a9a9bcc00ae3d96343c93b437d6f77088">INetwork::AddBatchToSpaceNdLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html">BatchToSpaceNdDescriptor</a>& batchToSpaceNdDescriptor,</div> |
| <div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00352"></a><span class="lineno"> 352</span> {</div> |
| <div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddBatchToSpaceNdLayer(batchToSpaceNdDescriptor, name);</div> |
| <div class="line"><a name="l00354"></a><span class="lineno"> 354</span> }</div> |
| <div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  </div> |
| <div class="line"><a name="l00356"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#ae913b4351b7027f37eb5657dd7867733"> 356</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#ae913b4351b7027f37eb5657dd7867733">INetwork::AddPooling2dLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pooling2d_descriptor.html">Pooling2dDescriptor</a>& pooling2dDescriptor,</div> |
| <div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00358"></a><span class="lineno"> 358</span> {</div> |
| <div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddPooling2dLayer(pooling2dDescriptor, name);</div> |
| <div class="line"><a name="l00360"></a><span class="lineno"> 360</span> }</div> |
| <div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  </div> |
| <div class="line"><a name="l00362"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#aee282f8e3379d3f5bed1032d20884248"> 362</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#aee282f8e3379d3f5bed1032d20884248">INetwork::AddPooling3dLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pooling3d_descriptor.html">Pooling3dDescriptor</a>& pooling3dDescriptor,</div> |
| <div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00364"></a><span class="lineno"> 364</span> {</div> |
| <div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddPooling3dLayer(pooling3dDescriptor, name);</div> |
| <div class="line"><a name="l00366"></a><span class="lineno"> 366</span> }</div> |
| <div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  </div> |
| <div class="line"><a name="l00368"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#aee3a15d2fa419f50a8ac45e6d3c11e16"> 368</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#aee3a15d2fa419f50a8ac45e6d3c11e16">INetwork::AddPrecompiledLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pre_compiled_descriptor.html">PreCompiledDescriptor</a>& preCompiledDescriptor,</div> |
| <div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <a class="code" href="namespacearmnn.html#af362583b7b4c471c434cb0fdb86c2ae2">CompiledBlobPtr</a> compiledBlobPtr,</div> |
| <div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.html">Optional<BackendId></a>& backend,</div> |
| <div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00372"></a><span class="lineno"> 372</span> {</div> |
| <div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddPrecompiledLayer(preCompiledDescriptor, std::move(compiledBlobPtr), backend, name);</div> |
| <div class="line"><a name="l00374"></a><span class="lineno"> 374</span> }</div> |
| <div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  </div> |
| <div class="line"><a name="l00376"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#aa51350bdd4976f3dd5a4e9d00a906b2c"> 376</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#aa51350bdd4976f3dd5a4e9d00a906b2c">INetwork::AddActivationLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_descriptor.html">ActivationDescriptor</a>& activationDescriptor,</div> |
| <div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00378"></a><span class="lineno"> 378</span> {</div> |
| <div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddActivationLayer(activationDescriptor, name);</div> |
| <div class="line"><a name="l00380"></a><span class="lineno"> 380</span> }</div> |
| <div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  </div> |
| <div class="line"><a name="l00382"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a6c5376053e1f875776d7bc36fd0b7d45"> 382</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a6c5376053e1f875776d7bc36fd0b7d45">INetwork::AddNormalizationLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_normalization_descriptor.html">NormalizationDescriptor</a>& normalizationDescriptor,</div> |
| <div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* 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"> 385</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddNormalizationLayer(normalizationDescriptor, name);</div> |
| <div class="line"><a name="l00386"></a><span class="lineno"> 386</span> }</div> |
| <div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  </div> |
| <div class="line"><a name="l00388"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a8de6b047fcaff95df48dca683e1f3aa4"> 388</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a8de6b047fcaff95df48dca683e1f3aa4">INetwork::AddSliceLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_slice_descriptor.html">SliceDescriptor</a>& sliceDescriptor, <span class="keyword">const</span> <span class="keywordtype">char</span>* 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>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddSliceLayer(sliceDescriptor, name);</div> |
| <div class="line"><a name="l00391"></a><span class="lineno"> 391</span> }</div> |
| <div class="line"><a name="l00392"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a30528a3bd85a0dba158bd14e252bd68a"> 392</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a30528a3bd85a0dba158bd14e252bd68a">INetwork::AddSoftmaxLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.html">SoftmaxDescriptor</a>& softmaxDescriptor,</div> |
| <div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00394"></a><span class="lineno"> 394</span> {</div> |
| <div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddSoftmaxLayer(softmaxDescriptor, name);</div> |
| <div class="line"><a name="l00396"></a><span class="lineno"> 396</span> }</div> |
| <div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  </div> |
| <div class="line"><a name="l00398"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a6f6d81d8a4f1f85f3616e8306760061c"> 398</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a6f6d81d8a4f1f85f3616e8306760061c">INetwork::AddSplitterLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_views_descriptor.html">ViewsDescriptor</a>& splitterDescriptor,</div> |
| <div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* 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>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddSplitterLayer(splitterDescriptor, name);</div> |
| <div class="line"><a name="l00402"></a><span class="lineno"> 402</span> }</div> |
| <div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  </div> |
| <div class="line"><a name="l00404"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a0f19808bdada45222e72edf7671a275a"> 404</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a0f19808bdada45222e72edf7671a275a">INetwork::AddMergeLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00405"></a><span class="lineno"> 405</span> {</div> |
| <div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddMergeLayer(name);</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.html#a39f1b38d89c4de186742eafcbb3b1319"> 409</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a39f1b38d89c4de186742eafcbb3b1319">INetwork::AddAdditionLayer</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.html#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.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddAdditionLayer(name);</div> |
| <div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <a class="code" href="_deprecated_8hpp.html#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.html#abb59f6ba9988dae88e0f48e68d87fc32"> 416</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#abb59f6ba9988dae88e0f48e68d87fc32">INetwork::AddMultiplicationLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00417"></a><span class="lineno"> 417</span> {</div> |
| <div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <a class="code" href="_deprecated_8hpp.html#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div> |
| <div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddMultiplicationLayer(name);</div> |
| <div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <a class="code" href="_deprecated_8hpp.html#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div> |
| <div class="line"><a name="l00421"></a><span class="lineno"> 421</span> }</div> |
| <div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  </div> |
| <div class="line"><a name="l00423"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a8f798e19187ac7ae6ae6153ee64ab645"> 423</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a8f798e19187ac7ae6ae6153ee64ab645">INetwork::AddBatchNormalizationLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.html">BatchNormalizationDescriptor</a>& desc,</div> |
| <div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>& mean,</div> |
| <div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>& variance,</div> |
| <div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>& beta,</div> |
| <div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>& gamma,</div> |
| <div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* 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>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddBatchNormalizationLayer(desc, mean, variance, beta, gamma, name);</div> |
| <div class="line"><a name="l00431"></a><span class="lineno"> 431</span> }</div> |
| <div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  </div> |
| <div class="line"><a name="l00433"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a25563024ec66627ee83727244a53e944"> 433</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a25563024ec66627ee83727244a53e944">INetwork::AddRankLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00434"></a><span class="lineno"> 434</span> {</div> |
| <div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddRankLayer(name);</div> |
| <div class="line"><a name="l00436"></a><span class="lineno"> 436</span> }</div> |
| <div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  </div> |
| <div class="line"><a name="l00438"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#ad97411f1fcb2c30c212483d8c673506f"> 438</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#ad97411f1fcb2c30c212483d8c673506f">INetwork::AddResizeLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_resize_descriptor.html">ResizeDescriptor</a>& resizeDescriptor,</div> |
| <div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00440"></a><span class="lineno"> 440</span> {</div> |
| <div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddResizeLayer(resizeDescriptor, name);</div> |
| <div class="line"><a name="l00442"></a><span class="lineno"> 442</span> }</div> |
| <div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  </div> |
| <div class="line"><a name="l00444"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#ae0cfae1ea51669892608a1a060d24fa0"> 444</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#ae0cfae1ea51669892608a1a060d24fa0">INetwork::AddReduceLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reduce_descriptor.html">ReduceDescriptor</a>& reduceDescriptor,</div> |
| <div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00446"></a><span class="lineno"> 446</span> {</div> |
| <div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddReduceLayer(reduceDescriptor, name);</div> |
| <div class="line"><a name="l00448"></a><span class="lineno"> 448</span> }</div> |
| <div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  </div> |
| <div class="line"><a name="l00450"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#abd61d3e7ab67551c75bc219bbc4baeb5"> 450</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#abd61d3e7ab67551c75bc219bbc4baeb5">INetwork::AddInstanceNormalizationLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.html">InstanceNormalizationDescriptor</a>& desc,</div> |
| <div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00452"></a><span class="lineno"> 452</span> {</div> |
| <div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddInstanceNormalizationLayer(desc, name);</div> |
| <div class="line"><a name="l00454"></a><span class="lineno"> 454</span> }</div> |
| <div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  </div> |
| <div class="line"><a name="l00456"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#aaff51346dadec2c1430abf007fed4cc9"> 456</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#aaff51346dadec2c1430abf007fed4cc9">INetwork::AddL2NormalizationLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_l2_normalization_descriptor.html">L2NormalizationDescriptor</a>& desc,</div> |
| <div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00458"></a><span class="lineno"> 458</span> {</div> |
| <div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddL2NormalizationLayer(desc, name);</div> |
| <div class="line"><a name="l00460"></a><span class="lineno"> 460</span> }</div> |
| <div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  </div> |
| <div class="line"><a name="l00462"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a83b33973ca12078166b2436b313627b9"> 462</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a83b33973ca12078166b2436b313627b9">INetwork::AddLogSoftmaxLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.html">LogSoftmaxDescriptor</a>& logSoftmaxDescriptor,</div> |
| <div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00464"></a><span class="lineno"> 464</span> {</div> |
| <div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddLogSoftmaxLayer(logSoftmaxDescriptor, name);</div> |
| <div class="line"><a name="l00466"></a><span class="lineno"> 466</span> }</div> |
| <div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  </div> |
| <div class="line"><a name="l00468"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a1aa567f46c30960851c02847dc7b4215"> 468</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a1aa567f46c30960851c02847dc7b4215">INetwork::AddConstantLayer</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>& input,</div> |
| <div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00470"></a><span class="lineno"> 470</span> {</div> |
| <div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddConstantLayer(input, name);</div> |
| <div class="line"><a name="l00472"></a><span class="lineno"> 472</span> }</div> |
| <div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  </div> |
| <div class="line"><a name="l00474"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a8a3380be13fba749fc4208214b049347"> 474</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a8a3380be13fba749fc4208214b049347">INetwork::AddReshapeLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reshape_descriptor.html">ReshapeDescriptor</a>& reshapeDescriptor,</div> |
| <div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00476"></a><span class="lineno"> 476</span> {</div> |
| <div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddReshapeLayer(reshapeDescriptor, name);</div> |
| <div class="line"><a name="l00478"></a><span class="lineno"> 478</span> }</div> |
| <div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  </div> |
| <div class="line"><a name="l00480"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a72b9d30e9d555bb5c35460b62faedf0d"> 480</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a72b9d30e9d555bb5c35460b62faedf0d">INetwork::AddSpaceToBatchNdLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html">SpaceToBatchNdDescriptor</a>& spaceToBatchNdDescriptor,</div> |
| <div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00482"></a><span class="lineno"> 482</span> {</div> |
| <div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddSpaceToBatchNdLayer(spaceToBatchNdDescriptor, name);</div> |
| <div class="line"><a name="l00484"></a><span class="lineno"> 484</span> }</div> |
| <div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  </div> |
| <div class="line"><a name="l00486"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a19bad0cc50526ca9f4f84a688812cdf5"> 486</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a19bad0cc50526ca9f4f84a688812cdf5">INetwork::AddSpaceToDepthLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html">SpaceToDepthDescriptor</a>& spaceToDepthDescriptor,</div> |
| <div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* 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"> 489</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddSpaceToDepthLayer(spaceToDepthDescriptor, 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>  </div> |
| <div class="line"><a name="l00492"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a435ea88480b8645026dd45fd692663a1"> 492</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a435ea88480b8645026dd45fd692663a1">INetwork::AddFloorLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00493"></a><span class="lineno"> 493</span> {</div> |
| <div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddFloorLayer(name);</div> |
| <div class="line"><a name="l00495"></a><span class="lineno"> 495</span> }</div> |
| <div class="line"><a name="l00496"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#af5790069aa11fd1c5bb2e17cecb06528"> 496</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#af5790069aa11fd1c5bb2e17cecb06528">INetwork::AddOutputLayer</a>(<a class="code" href="namespacearmnn.html#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="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.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddOutputLayer(<span class="keywordtype">id</span>, 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.html#a0a2fdd4f442952c97a8f24de6700473a"> 501</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a0a2fdd4f442952c97a8f24de6700473a">INetwork::AddLstmLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.html">LstmDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params.html">LstmInputParams</a>& params,</div> |
| <div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00504"></a><span class="lineno"> 504</span> {</div> |
| <div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddLstmLayer(descriptor, params, name);</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.html#a0aeb4e528cf6ba4b7caca14a94fbcafe"> 508</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a0aeb4e528cf6ba4b7caca14a94fbcafe">INetwork::AddDivisionLayer</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.html#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.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddDivisionLayer(name);</div> |
| <div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  <a class="code" href="_deprecated_8hpp.html#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.html#af13795cdf49e63d8bc3cb409592cdb9d"> 515</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#af13795cdf49e63d8bc3cb409592cdb9d">INetwork::AddSubtractionLayer</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.html#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.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddSubtractionLayer(name);</div> |
| <div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <a class="code" href="_deprecated_8hpp.html#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.html#a57590d7777211673d2052f702f0b07a1"> 522</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a57590d7777211673d2052f702f0b07a1">INetwork::AddMaximumLayer</a>(<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>  <a class="code" href="_deprecated_8hpp.html#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div> |
| <div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddMaximumLayer(name);</div> |
| <div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <a class="code" href="_deprecated_8hpp.html#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div> |
| <div class="line"><a name="l00527"></a><span class="lineno"> 527</span> }</div> |
| <div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  </div> |
| <div class="line"><a name="l00529"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#ad4726f9b7dd11db250d2a494a8a39494"> 529</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#ad4726f9b7dd11db250d2a494a8a39494">INetwork::AddMeanLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_mean_descriptor.html">MeanDescriptor</a>& meanDescriptor, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00530"></a><span class="lineno"> 530</span> {</div> |
| <div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddMeanLayer(meanDescriptor, name);</div> |
| <div class="line"><a name="l00532"></a><span class="lineno"> 532</span> }</div> |
| <div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  </div> |
| <div class="line"><a name="l00534"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a6e2df484ecc65bc82712590b96e04df4"> 534</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a6e2df484ecc65bc82712590b96e04df4">INetwork::AddPadLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pad_descriptor.html">PadDescriptor</a>& padDescriptor,</div> |
| <div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* 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>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddPadLayer(padDescriptor, name);</div> |
| <div class="line"><a name="l00538"></a><span class="lineno"> 538</span> }</div> |
| <div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  </div> |
| <div class="line"><a name="l00540"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a0b426a3feffc76e66d73b5761806e899"> 540</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a0b426a3feffc76e66d73b5761806e899">INetwork::AddQuantizeLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00541"></a><span class="lineno"> 541</span> {</div> |
| <div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddQuantizeLayer(name);</div> |
| <div class="line"><a name="l00543"></a><span class="lineno"> 543</span> }</div> |
| <div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  </div> |
| <div class="line"><a name="l00545"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#ac5c93cad39a690af862d49ffaec0d3c0"> 545</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#ac5c93cad39a690af862d49ffaec0d3c0">INetwork::AddStridedSliceLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_strided_slice_descriptor.html">StridedSliceDescriptor</a>& stridedSliceDescriptor,</div> |
| <div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00547"></a><span class="lineno"> 547</span> {</div> |
| <div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddStridedSliceLayer(stridedSliceDescriptor, name);</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.html#a4bfd8dee1a0315b651e977c672c0847c"> 551</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a4bfd8dee1a0315b651e977c672c0847c">INetwork::AddMinimumLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00552"></a><span class="lineno"> 552</span> {</div> |
| <div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  <a class="code" href="_deprecated_8hpp.html#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></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.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddMinimumLayer(name);</div> |
| <div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  <a class="code" href="_deprecated_8hpp.html#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div> |
| <div class="line"><a name="l00556"></a><span class="lineno"> 556</span> }</div> |
| <div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  </div> |
| <div class="line"><a name="l00558"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a1da203a7e3caa6ae4f0630a4758aac55"> 558</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a1da203a7e3caa6ae4f0630a4758aac55">INetwork::AddGatherLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_gather_descriptor.html">GatherDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* 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>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddGatherLayer(descriptor, name);</div> |
| <div class="line"><a name="l00562"></a><span class="lineno"> 562</span> }</div> |
| <div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  </div> |
| <div class="line"><a name="l00564"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#af776e284b9e2c4a3563abb8cf5e8ac5e"> 564</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#af776e284b9e2c4a3563abb8cf5e8ac5e">INetwork::AddGatherNdLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* 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>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddGatherNdLayer(name);</div> |
| <div class="line"><a name="l00567"></a><span class="lineno"> 567</span> }</div> |
| <div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  </div> |
| <div class="line"><a name="l00569"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a26e69cda5fe9642f9198c24ae5fdf9bc"> 569</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a26e69cda5fe9642f9198c24ae5fdf9bc">INetwork::AddSwitchLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* 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>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddSwitchLayer(name);</div> |
| <div class="line"><a name="l00572"></a><span class="lineno"> 572</span> }</div> |
| <div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  </div> |
| <div class="line"><a name="l00574"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a6d614a503a34ea3712b388aa4340ddbe"> 574</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a6d614a503a34ea3712b388aa4340ddbe">INetwork::AddPreluLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00575"></a><span class="lineno"> 575</span> {</div> |
| <div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddPreluLayer(name);</div> |
| <div class="line"><a name="l00577"></a><span class="lineno"> 577</span> }</div> |
| <div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  </div> |
| <div class="line"><a name="l00579"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a41fd7b56923d5625bac2cbfebed1a393"> 579</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a41fd7b56923d5625bac2cbfebed1a393">INetwork::AddTransposeConvolution2dLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html">TransposeConvolution2dDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>& weights,</div> |
| <div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.html">Optional<ConstTensor></a>& biases,</div> |
| <div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00583"></a><span class="lineno"> 583</span> {</div> |
| <div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddTransposeConvolution2dLayer(descriptor, weights, biases, name);</div> |
| <div class="line"><a name="l00585"></a><span class="lineno"> 585</span> }</div> |
| <div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  </div> |
| <div class="line"><a name="l00587"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#ab067ba4ee9416d93abb8a52f3dc8feba"> 587</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#ab067ba4ee9416d93abb8a52f3dc8feba">INetwork::AddTransposeLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_descriptor.html">TransposeDescriptor</a>& transposeDescriptor,</div> |
| <div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* 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>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddTransposeLayer(transposeDescriptor, name);</div> |
| <div class="line"><a name="l00591"></a><span class="lineno"> 591</span> }</div> |
| <div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  </div> |
| <div class="line"><a name="l00593"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#af9dd4b5273829b846ab83b3ae7f3defc"> 593</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#af9dd4b5273829b846ab83b3ae7f3defc">INetwork::AddShapeLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00594"></a><span class="lineno"> 594</span> {</div> |
| <div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddShapeLayer(name);</div> |
| <div class="line"><a name="l00596"></a><span class="lineno"> 596</span> }</div> |
| <div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  </div> |
| <div class="line"><a name="l00598"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a5210b3df77e7a51ab369b577de821aa2"> 598</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a5210b3df77e7a51ab369b577de821aa2">INetwork::AddStackLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stack_descriptor.html">StackDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00600"></a><span class="lineno"> 600</span> {</div> |
| <div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddStackLayer(descriptor, name);</div> |
| <div class="line"><a name="l00602"></a><span class="lineno"> 602</span> }</div> |
| <div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  </div> |
| <div class="line"><a name="l00604"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a74894d085e78ff80f45fc09dd2381f08"> 604</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a74894d085e78ff80f45fc09dd2381f08">INetwork::AddStandInLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stand_in_descriptor.html">StandInDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00606"></a><span class="lineno"> 606</span> {</div> |
| <div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddStandInLayer(descriptor, name);</div> |
| <div class="line"><a name="l00608"></a><span class="lineno"> 608</span> }</div> |
| <div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  </div> |
| <div class="line"><a name="l00610"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a40067b05f30a3ab65568c826df7a8ea7"> 610</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a40067b05f30a3ab65568c826df7a8ea7">INetwork::AddQuantizedLstmLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html">QuantizedLstmInputParams</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.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddQuantizedLstmLayer(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.html#a2acbae0b9e98c94b843677484775c86a"> 616</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a2acbae0b9e98c94b843677484775c86a">INetwork::AddQLstmLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.html">QLstmDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params.html">LstmInputParams</a>& params,</div> |
| <div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00619"></a><span class="lineno"> 619</span> {</div> |
| <div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddQLstmLayer(descriptor, params, name);</div> |
| <div class="line"><a name="l00621"></a><span class="lineno"> 621</span> }</div> |
| <div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  </div> |
| <div class="line"><a name="l00623"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a7dfc9717e76257867ad0a9239f210df0"> 623</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a7dfc9717e76257867ad0a9239f210df0">INetwork::AddLogicalBinaryLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_logical_binary_descriptor.html">LogicalBinaryDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00625"></a><span class="lineno"> 625</span> {</div> |
| <div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddLogicalBinaryLayer(descriptor, name);</div> |
| <div class="line"><a name="l00627"></a><span class="lineno"> 627</span> }</div> |
| <div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  </div> |
| <div class="line"><a name="l00629"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#aba22dcdeed6e7c489aea6eb798c0a10a"> 629</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#aba22dcdeed6e7c489aea6eb798c0a10a">INetwork::AddUnidirectionalSequenceLstmLayer</a>(</div> |
| <div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.html">UnidirectionalSequenceLstmDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params.html">LstmInputParams</a>& params,</div> |
| <div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00633"></a><span class="lineno"> 633</span> {</div> |
| <div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddUnidirectionalSequenceLstmLayer(descriptor, params, name);</div> |
| <div class="line"><a name="l00635"></a><span class="lineno"> 635</span> }</div> |
| <div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  </div> |
| <div class="line"><a name="l00637"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a786be4af14ba595c9946f935ba99f170"> 637</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a786be4af14ba595c9946f935ba99f170">INetwork::AddChannelShuffleLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.html">ChannelShuffleDescriptor</a> &descriptor,</div> |
| <div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00639"></a><span class="lineno"> 639</span> {</div> |
| <div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddChannelShuffleLayer(descriptor, name);</div> |
| <div class="line"><a name="l00641"></a><span class="lineno"> 641</span> }</div> |
| <div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  </div> |
| <div class="line"><a name="l00643"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#aead50fe5965878e58cfdbe782736fa2a"> 643</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#aead50fe5965878e58cfdbe782736fa2a">INetwork::AddBatchMatMulLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html">BatchMatMulDescriptor</a> &descriptor,</div> |
| <div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</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>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddBatchMatMulLayer(descriptor, name);</div> |
| <div class="line"><a name="l00647"></a><span class="lineno"> 647</span> }</div> |
| <div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  </div> |
| <div class="line"><a name="l00649"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#af6b8b1eccd67565e345e3977a4adc195"> 649</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#af6b8b1eccd67565e345e3977a4adc195">INetwork::AddReverseV2Layer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span> *name)</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>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddReverseV2Layer(name);</div> |
| <div class="line"><a name="l00652"></a><span class="lineno"> 652</span> }</div> |
| <div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  </div> |
| <div class="line"><a name="l00654"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#ac66bb5773d48442282eeca81b851494f"> 654</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#ac66bb5773d48442282eeca81b851494f">INetwork::AddTileLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_tile_descriptor.html">TileDescriptor</a> &descriptor,</div> |
| <div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  <span class="keyword">const</span> <span class="keywordtype">char</span> *name)</div> |
| <div class="line"><a name="l00656"></a><span class="lineno"> 656</span> {</div> |
| <div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddTileLayer(descriptor, name);</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>  </div> |
| <div class="line"><a name="l00660"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a35e19d74e14ce4cec0261b799a39c921"> 660</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_i_network.html#a35e19d74e14ce4cec0261b799a39c921">INetwork::AddBroadcastToLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_broadcast_to_descriptor.html">BroadcastToDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00662"></a><span class="lineno"> 662</span> {</div> |
| <div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->AddBroadcastToLayer(descriptor, name);</div> |
| <div class="line"><a name="l00664"></a><span class="lineno"> 664</span> }</div> |
| <div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  </div> |
| <div class="line"><a name="l00666"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network.html#a72032c65bf8b8acf09b564b7d80078c5"> 666</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_i_network.html#a72032c65bf8b8acf09b564b7d80078c5">INetwork::ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.html">IStrategy</a>& strategy)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00667"></a><span class="lineno"> 667</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->ExecuteStrategy(strategy);</div> |
| <div class="line"><a name="l00669"></a><span class="lineno"> 669</span> }</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_network.html#ab534dfa7f086a5f09fd9e3734ca6ab28"> 671</a></span> <a class="code" href="classarmnn_1_1_i_network.html">armnn::INetwork</a>* <a class="code" href="classarmnn_1_1_i_network.html#ab534dfa7f086a5f09fd9e3734ca6ab28">INetwork::CreateRaw</a>(<span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a4de71c3661093e5c4ae7775114f43413">NetworkOptions</a>& networkOptions)</div> |
| <div class="line"><a name="l00672"></a><span class="lineno"> 672</span> {</div> |
| <div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  <span class="keywordflow">return</span> <span class="keyword">new</span> <a class="code" href="classarmnn_1_1_i_network.html#a2d936beb0fcf3c5d22ff332f0812b05e">INetwork</a>(networkOptions);</div> |
| <div class="line"><a name="l00674"></a><span class="lineno"> 674</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_network.html#a41ce159095e95f7cd4174ce5d4662697"> 676</a></span> <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> <a class="code" href="classarmnn_1_1_i_network.html#a41ce159095e95f7cd4174ce5d4662697">INetwork::Create</a>(<span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a4de71c3661093e5c4ae7775114f43413">NetworkOptions</a>& networkOptions)</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="keywordflow">return</span> <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">INetworkPtr</a>(<a class="code" href="classarmnn_1_1_i_network.html#ab534dfa7f086a5f09fd9e3734ca6ab28">CreateRaw</a>(networkOptions), &<a class="code" href="classarmnn_1_1_i_network.html#a55bd1bb29076dc45bb335e7322781463">INetwork::Destroy</a>);</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_network.html#a55bd1bb29076dc45bb335e7322781463"> 681</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_i_network.html#a55bd1bb29076dc45bb335e7322781463">INetwork::Destroy</a>(<a class="code" href="classarmnn_1_1_i_network.html">INetwork</a>* network)</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="keyword">delete</span> network;</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.html#a32eecbed1d4cd2602204a2ab3f5f249e"> 686</a></span> <a class="code" href="classarmnn_1_1_i_optimized_network.html#a32eecbed1d4cd2602204a2ab3f5f249e">IOptimizedNetwork::IOptimizedNetwork</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_optimized_network.html">IOptimizedNetwork</a>& other, <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a>& modelOptions)</div> |
| <div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  : pOptimizedNetworkImpl(new <a class="code" href="classarmnn_1_1_optimized_network_impl.html">OptimizedNetworkImpl</a>(*other.pOptimizedNetworkImpl.get(), modelOptions)) {}</div> |
| <div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  </div> |
| <div class="line"><a name="l00689"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_optimized_network.html#af730a6ec3deb072dc2687089f3f77f9e"> 689</a></span> <a class="code" href="classarmnn_1_1_i_optimized_network.html#a32eecbed1d4cd2602204a2ab3f5f249e">IOptimizedNetwork::IOptimizedNetwork</a>(std::unique_ptr<Graph> graph)</div> |
| <div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  : pOptimizedNetworkImpl(new <a class="code" href="classarmnn_1_1_optimized_network_impl.html">OptimizedNetworkImpl</a>(<a class="code" href="namespacestd.html">std</a>::move(graph))) {}</div> |
| <div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  </div> |
| <div class="line"><a name="l00692"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_optimized_network.html#a5fd8b75db92fb2a84d12e2092a173716"> 692</a></span> <a class="code" href="classarmnn_1_1_i_optimized_network.html#a32eecbed1d4cd2602204a2ab3f5f249e">IOptimizedNetwork::IOptimizedNetwork</a>(std::unique_ptr<OptimizedNetworkImpl> impl)</div> |
| <div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  : pOptimizedNetworkImpl(<a class="code" href="namespacestd.html">std</a>::move(impl)) {}</div> |
| <div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  </div> |
| <div class="line"><a name="l00695"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_optimized_network.html#a230acad28622c18ab32254f74af569b0"> 695</a></span> <a class="code" href="classarmnn_1_1_i_optimized_network.html#a32eecbed1d4cd2602204a2ab3f5f249e">IOptimizedNetwork::IOptimizedNetwork</a>(std::unique_ptr<Graph> graph, <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a>& modelOptions)</div> |
| <div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  : pOptimizedNetworkImpl(new <a class="code" href="classarmnn_1_1_optimized_network_impl.html">OptimizedNetworkImpl</a>(<a class="code" href="namespacestd.html">std</a>::move(graph), modelOptions)) {}</div> |
| <div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  </div> |
| <div class="line"><a name="l00698"></a><span class="lineno"> 698</span> <a class="code" href="classarmnn_1_1_i_optimized_network.html#a437cc59f5247f213adf34e84696f60da">IOptimizedNetwork::~IOptimizedNetwork</a>() = <span class="keywordflow">default</span>;</div> |
| <div class="line"><a name="l00699"></a><span class="lineno"> 699</span>  </div> |
| <div class="line"><a name="l00700"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_optimized_network.html#a58ee539cf95c1e99fe4f54ef6e8bbd05"> 700</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_i_optimized_network.html#a58ee539cf95c1e99fe4f54ef6e8bbd05">IOptimizedNetwork::Destroy</a>(<a class="code" href="classarmnn_1_1_i_optimized_network.html">IOptimizedNetwork</a>* network)</div> |
| <div class="line"><a name="l00701"></a><span class="lineno"> 701</span> {</div> |
| <div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  <span class="keyword">delete</span> network;</div> |
| <div class="line"><a name="l00703"></a><span class="lineno"> 703</span> }</div> |
| <div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  </div> |
| <div class="line"><a name="l00705"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_optimized_network.html#aff3fde909d22ed157046682e70129259"> 705</a></span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> <a class="code" href="classarmnn_1_1_i_optimized_network.html#aff3fde909d22ed157046682e70129259">IOptimizedNetwork::PrintGraph</a>()</div> |
| <div class="line"><a name="l00706"></a><span class="lineno"> 706</span> {</div> |
| <div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_optimized_network.html#a374d52340ec8dc02a819acc20fb5aa92">pOptimizedNetworkImpl</a>->PrintGraph();</div> |
| <div class="line"><a name="l00708"></a><span class="lineno"> 708</span> }</div> |
| <div class="line"><a name="l00709"></a><span class="lineno"> 709</span>  </div> |
| <div class="line"><a name="l00710"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_optimized_network.html#a26794f014974a6f963a8925de07bffeb"> 710</a></span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> <a class="code" href="classarmnn_1_1_i_optimized_network.html#a26794f014974a6f963a8925de07bffeb">IOptimizedNetwork::SerializeToDot</a>(std::ostream& stream)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00711"></a><span class="lineno"> 711</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_optimized_network.html#a374d52340ec8dc02a819acc20fb5aa92">pOptimizedNetworkImpl</a>->SerializeToDot(stream);</div> |
| <div class="line"><a name="l00713"></a><span class="lineno"> 713</span> }</div> |
| <div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  </div> |
| <div class="line"><a name="l00715"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_optimized_network.html#a880db527e7dbf8d0de3fee52ba072482"> 715</a></span> <span class="keyword">const</span> std::shared_ptr<IProfiler>& <a class="code" href="classarmnn_1_1_i_optimized_network.html#a880db527e7dbf8d0de3fee52ba072482">IOptimizedNetwork::GetProfiler</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00716"></a><span class="lineno"> 716</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_optimized_network.html#a374d52340ec8dc02a819acc20fb5aa92">pOptimizedNetworkImpl</a>->GetGraph().GetProfiler();</div> |
| <div class="line"><a name="l00718"></a><span class="lineno"> 718</span> }</div> |
| <div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  </div> |
| <div class="line"><a name="l00720"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_optimized_network.html#aa1b6106cb25d38e369fd647f4324cebe"> 720</a></span> arm::pipe::ProfilingGuid <a class="code" href="classarmnn_1_1_i_optimized_network.html#aa1b6106cb25d38e369fd647f4324cebe">IOptimizedNetwork::GetGuid</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00721"></a><span class="lineno"> 721</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_optimized_network.html#a374d52340ec8dc02a819acc20fb5aa92">pOptimizedNetworkImpl</a>->GetGuid();</div> |
| <div class="line"><a name="l00723"></a><span class="lineno"> 723</span> }</div> |
| <div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  </div> |
| <div class="line"><a name="l00725"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_optimized_network.html#a8d8179a4a0703602a5d7dbb6e92eaf69"> 725</a></span> <span class="keywordtype">size_t</span> <a class="code" href="classarmnn_1_1_i_optimized_network.html#a8d8179a4a0703602a5d7dbb6e92eaf69">IOptimizedNetwork::GetNumInputs</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00726"></a><span class="lineno"> 726</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_optimized_network.html#a374d52340ec8dc02a819acc20fb5aa92">pOptimizedNetworkImpl</a>->GetNumInputs();</div> |
| <div class="line"><a name="l00728"></a><span class="lineno"> 728</span> }</div> |
| <div class="line"><a name="l00729"></a><span class="lineno"> 729</span>  </div> |
| <div class="line"><a name="l00730"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_optimized_network.html#a604654b453ec291a503d62a0beb849d3"> 730</a></span> <span class="keywordtype">size_t</span> <a class="code" href="classarmnn_1_1_i_optimized_network.html#a604654b453ec291a503d62a0beb849d3">IOptimizedNetwork::GetNumOutputs</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00731"></a><span class="lineno"> 731</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00732"></a><span class="lineno"> 732</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_optimized_network.html#a374d52340ec8dc02a819acc20fb5aa92">pOptimizedNetworkImpl</a>->GetNumOutputs();</div> |
| <div class="line"><a name="l00733"></a><span class="lineno"> 733</span> }</div> |
| <div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  </div> |
| <div class="line"><a name="l00735"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimized_network_impl.html#aff3fde909d22ed157046682e70129259"> 735</a></span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> <a class="code" href="classarmnn_1_1_optimized_network_impl.html#aff3fde909d22ed157046682e70129259">OptimizedNetworkImpl::PrintGraph</a>()</div> |
| <div class="line"><a name="l00736"></a><span class="lineno"> 736</span> {</div> |
| <div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  m_Graph->Print();</div> |
| <div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">Status::Success</a>;</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>  </div> |
| <div class="line"><a name="l00741"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimized_network_impl.html#a26794f014974a6f963a8925de07bffeb"> 741</a></span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> <a class="code" href="classarmnn_1_1_optimized_network_impl.html#a26794f014974a6f963a8925de07bffeb">OptimizedNetworkImpl::SerializeToDot</a>(std::ostream& stream)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00742"></a><span class="lineno"> 742</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00743"></a><span class="lineno"> 743</span>  <span class="keywordflow">return</span> m_Graph->SerializeToDot(stream);</div> |
| <div class="line"><a name="l00744"></a><span class="lineno"> 744</span> }</div> |
| <div class="line"><a name="l00745"></a><span class="lineno"> 745</span>  </div> |
| <div class="line"><a name="l00746"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimized_network_impl.html#a8d8179a4a0703602a5d7dbb6e92eaf69"> 746</a></span> <span class="keywordtype">size_t</span> <a class="code" href="classarmnn_1_1_optimized_network_impl.html#a8d8179a4a0703602a5d7dbb6e92eaf69">OptimizedNetworkImpl::GetNumInputs</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00747"></a><span class="lineno"> 747</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  <span class="keywordflow">return</span> m_Graph->GetNumInputs();</div> |
| <div class="line"><a name="l00749"></a><span class="lineno"> 749</span> }</div> |
| <div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  </div> |
| <div class="line"><a name="l00751"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimized_network_impl.html#a604654b453ec291a503d62a0beb849d3"> 751</a></span> <span class="keywordtype">size_t</span> <a class="code" href="classarmnn_1_1_optimized_network_impl.html#a604654b453ec291a503d62a0beb849d3">OptimizedNetworkImpl::GetNumOutputs</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00752"></a><span class="lineno"> 752</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  <span class="keywordflow">return</span> m_Graph->GetNumOutputs();</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.html#a3cf1cee98e0ed8b54263ec7279f6ec69"> 756</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#a3cf1cee98e0ed8b54263ec7279f6ec69">ReportError</a>(<span class="keyword">const</span> std::string& errorMessage,</div> |
| <div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional</a><std::vector<std::string>&> errorMessages)</div> |
| <div class="line"><a name="l00758"></a><span class="lineno"> 758</span> {</div> |
| <div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  std::stringstream fullErrorMessage;</div> |
| <div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  fullErrorMessage << <span class="stringliteral">"ERROR: "</span> << errorMessage;</div> |
| <div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd">warning</a>) << fullErrorMessage.str();</div> |
| <div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  <span class="keywordflow">if</span> (errorMessages)</div> |
| <div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  {</div> |
| <div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  errorMessages.value().push_back(fullErrorMessage.str());</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> }</div> |
| <div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  </div> |
| <div class="line"><a name="l00768"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a070307e9ee0f7969f7d4320145d1dddb"> 768</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#a070307e9ee0f7969f7d4320145d1dddb">ReportWarning</a>(<span class="keyword">const</span> std::string& warningMessage,</div> |
| <div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional</a><std::vector<std::string>&> warningMessages)</div> |
| <div class="line"><a name="l00770"></a><span class="lineno"> 770</span> {</div> |
| <div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  std::stringstream fullWarningMessage;</div> |
| <div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  fullWarningMessage << <span class="stringliteral">"WARNING: "</span> << warningMessage;</div> |
| <div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd">warning</a>) << fullWarningMessage.str();</div> |
| <div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  <span class="keywordflow">if</span> (warningMessages)</div> |
| <div class="line"><a name="l00775"></a><span class="lineno"> 775</span>  {</div> |
| <div class="line"><a name="l00776"></a><span class="lineno"> 776</span>  warningMessages.value().push_back(fullWarningMessage.str());</div> |
| <div class="line"><a name="l00777"></a><span class="lineno"> 777</span>  }</div> |
| <div class="line"><a name="l00778"></a><span class="lineno"> 778</span> }</div> |
| <div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  </div> |
| <div class="line"><a name="l00780"></a><span class="lineno"><a class="line" href="namespacearmnn.html#aeee4e55e6ad4fe12b2168f9fd1e88141"> 780</a></span> <a class="code" href="structarmnn_1_1_optimization_result.html">OptimizationResult</a> <a class="code" href="namespacearmnn.html#aeee4e55e6ad4fe12b2168f9fd1e88141">ReturnWithError</a>(<a class="code" href="structarmnn_1_1_optimization_result.html">OptimizationResult</a> res,</div> |
| <div class="line"><a name="l00781"></a><span class="lineno"> 781</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.html">Layer</a>* layer,</div> |
| <div class="line"><a name="l00782"></a><span class="lineno"> 782</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_backend_settings.html">BackendSettings</a>& backendSettings,</div> |
| <div class="line"><a name="l00783"></a><span class="lineno"> 783</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional</a><std::vector<std::string>&> errMessages)</div> |
| <div class="line"><a name="l00784"></a><span class="lineno"> 784</span> {</div> |
| <div class="line"><a name="l00785"></a><span class="lineno"> 785</span>  std::stringstream failureMsg;</div> |
| <div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  failureMsg << <span class="stringliteral">"Layer of type "</span> << <a class="code" href="namespacearmnn.html#addb6b14dd1b632263ffe77430259a7c4">GetLayerTypeAsCString</a>(layer-><a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>())</div> |
| <div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  << <span class="stringliteral">" is not supported on any preferred backend "</span> << backendSettings.<a class="code" href="structarmnn_1_1_backend_settings.html#ae6d0506ac92f9ba9529d019847144aa3">m_PreferredBackends</a>;</div> |
| <div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  <a class="code" href="namespacearmnn.html#a3cf1cee98e0ed8b54263ec7279f6ec69">ReportError</a>(failureMsg.str(), errMessages);</div> |
| <div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  </div> |
| <div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  res.<a class="code" href="structarmnn_1_1_optimization_result.html#a41a657cfacb52a80a73575c5c730ab88">m_Error</a> = <span class="keyword">true</span>;</div> |
| <div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  <span class="keywordflow">return</span> res;</div> |
| <div class="line"><a name="l00792"></a><span class="lineno"> 792</span> }</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>  </div> |
| <div class="line"><a name="l00795"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a8bf1222ae8931bf663fa076b3e3b6f0e"> 795</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a8bf1222ae8931bf663fa076b3e3b6f0e">CheckScaleSetOnQuantizedType</a>(<a class="code" href="classarmnn_1_1_layer.html">Layer</a>* layer, <a class="code" href="classarmnn_1_1_optional.html">Optional</a><std::vector<std::string>&> errMessages)</div> |
| <div class="line"><a name="l00796"></a><span class="lineno"> 796</span> {</div> |
| <div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  <span class="keywordtype">bool</span> noErrors = <span class="keyword">true</span>;</div> |
| <div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutputs = layer-><a class="code" href="classarmnn_1_1_layer.html#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>();</div> |
| <div class="line"><a name="l00799"></a><span class="lineno"> 799</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="l00800"></a><span class="lineno"> 800</span>  <a class="code" href="classarmnn_1_1_output_slot.html">OutputSlot</a>& outputSlot = layer-><a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(i);</div> |
| <div class="line"><a name="l00801"></a><span class="lineno"> 801</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a> = outputSlot.<a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  <span class="keyword">auto</span> quantizationDataType = <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetDataType();</div> |
| <div class="line"><a name="l00803"></a><span class="lineno"> 803</span>  <span class="keyword">auto</span> quantizationScales = <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationScales();</div> |
| <div class="line"><a name="l00804"></a><span class="lineno"> 804</span>  <span class="comment">// For any Quantized Tensor ensure scale(s) are set</span></div> |
| <div class="line"><a name="l00805"></a><span class="lineno"> 805</span>  <span class="keywordflow">switch</span>(quantizationDataType) {</div> |
| <div class="line"><a name="l00806"></a><span class="lineno"> 806</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>:</div> |
| <div class="line"><a name="l00807"></a><span class="lineno"> 807</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>:</div> |
| <div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>:</div> |
| <div class="line"><a name="l00809"></a><span class="lineno"> 809</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>:</div> |
| <div class="line"><a name="l00810"></a><span class="lineno"> 810</span>  <span class="keywordflow">if</span> ((quantizationDataType == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a> || quantizationDataType == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>)</div> |
| <div class="line"><a name="l00811"></a><span class="lineno"> 811</span>  && <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.HasPerAxisQuantization()) {</div> |
| <div class="line"><a name="l00812"></a><span class="lineno"> 812</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"Per Axis Quantization is not supported in "</span></div> |
| <div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  <span class="stringliteral">"Asymmetric Quantization Datatype."</span>);</div> |
| <div class="line"><a name="l00814"></a><span class="lineno"> 814</span>  }</div> |
| <div class="line"><a name="l00815"></a><span class="lineno"> 815</span>  <span class="keywordflow">if</span> ((!<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.HasPerAxisQuantization() && <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationScale() == 0.f)</div> |
| <div class="line"><a name="l00816"></a><span class="lineno"> 816</span>  || (<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.HasPerAxisQuantization() && (quantizationScales.end() !=</div> |
| <div class="line"><a name="l00817"></a><span class="lineno"> 817</span>  std::find(quantizationScales.begin(), quantizationScales.end(), 0.f)))) {</div> |
| <div class="line"><a name="l00818"></a><span class="lineno"> 818</span>  noErrors = <span class="keyword">false</span>;</div> |
| <div class="line"><a name="l00819"></a><span class="lineno"> 819</span>  std::stringstream ss;</div> |
| <div class="line"><a name="l00820"></a><span class="lineno"> 820</span>  ss << <span class="stringliteral">"output "</span> << i << <span class="stringliteral">" of layer "</span> << <a class="code" href="namespacearmnn.html#addb6b14dd1b632263ffe77430259a7c4">GetLayerTypeAsCString</a>(layer-><a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>())</div> |
| <div class="line"><a name="l00821"></a><span class="lineno"> 821</span>  << <span class="stringliteral">" ("</span> << layer-><a class="code" href="classarmnn_1_1_layer.html#a9a97cb6d32661a57fc33bd29b8e41ff4">GetNameStr</a>() << <span class="stringliteral">") is of type"</span></div> |
| <div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  << <span class="stringliteral">" Quantized value but the scale parameter has not been set"</span>;</div> |
| <div class="line"><a name="l00823"></a><span class="lineno"> 823</span>  <a class="code" href="namespacearmnn.html#a3cf1cee98e0ed8b54263ec7279f6ec69">ReportError</a>(ss.str(), 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>  <span class="comment">// Softmax under QuantisedAsymm8 must always be scale (1.0f/256.0f) and offset 0</span></div> |
| <div class="line"><a name="l00826"></a><span class="lineno"> 826</span>  <span class="keywordflow">if</span> (!<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.HasPerAxisQuantization() && quantizationDataType == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a> &&</div> |
| <div class="line"><a name="l00827"></a><span class="lineno"> 827</span>  (<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationScale() != (1.0f / 256.0f) ||</div> |
| <div class="line"><a name="l00828"></a><span class="lineno"> 828</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationOffset() != 0) &&</div> |
| <div class="line"><a name="l00829"></a><span class="lineno"> 829</span>  layer-><a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">armnn::LayerType::Softmax</a>) {</div> |
| <div class="line"><a name="l00830"></a><span class="lineno"> 830</span>  std::stringstream ss;</div> |
| <div class="line"><a name="l00831"></a><span class="lineno"> 831</span>  ss << <span class="stringliteral">"Quantization parameters for Softmax layer (Scale: "</span> <<</div> |
| <div class="line"><a name="l00832"></a><span class="lineno"> 832</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationScale() << <span class="stringliteral">" and Offset: "</span> << <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationOffset() <<</div> |
| <div class="line"><a name="l00833"></a><span class="lineno"> 833</span>  <span class="stringliteral">") are incorrect and have been updated to Scale: 0.00390625 and Offset: 0"</span>;</div> |
| <div class="line"><a name="l00834"></a><span class="lineno"> 834</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd">warning</a>) << ss.str();</div> |
| <div class="line"><a name="l00835"></a><span class="lineno"> 835</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.SetQuantizationScale((1.0f / 256.0f));</div> |
| <div class="line"><a name="l00836"></a><span class="lineno"> 836</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.SetQuantizationOffset(0);</div> |
| <div class="line"><a name="l00837"></a><span class="lineno"> 837</span>  outputSlot.<a class="code" href="classarmnn_1_1_output_slot.html#a7e5c5771d741dd5473989047a9314728">SetTensorInfo</a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00838"></a><span class="lineno"> 838</span>  }</div> |
| <div class="line"><a name="l00839"></a><span class="lineno"> 839</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l00840"></a><span class="lineno"> 840</span>  <span class="keywordflow">default</span>:</div> |
| <div class="line"><a name="l00841"></a><span class="lineno"> 841</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  }</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="keywordflow">return</span> noErrors;</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>  </div> |
| <div class="line"><a name="l00847"></a><span class="lineno"><a class="line" href="namespacearmnn.html#abd660675ae5a9df777dcdb30c50224f6"> 847</a></span> <a class="code" href="structarmnn_1_1_optimization_result.html">OptimizationResult</a> <a class="code" href="namespacearmnn.html#abd660675ae5a9df777dcdb30c50224f6">AttemptBackendAssignment</a>(<a class="code" href="structarmnn_1_1_backend_settings.html">BackendSettings</a>& backendSettings,</div> |
| <div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  <a class="code" href="classarmnn_1_1_graph.html">Graph</a>& graph,</div> |
| <div class="line"><a name="l00849"></a><span class="lineno"> 849</span>  <a class="code" href="classarmnn_1_1_layer.html">Layer</a>* layer,</div> |
| <div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  <a class="code" href="classarmnn_1_1_backend_id.html">BackendId</a> backend,</div> |
| <div class="line"><a name="l00851"></a><span class="lineno"> 851</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dataTypeIn,</div> |
| <div class="line"><a name="l00852"></a><span class="lineno"> 852</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dataTypeOut,</div> |
| <div class="line"><a name="l00853"></a><span class="lineno"> 853</span>  <span class="keyword">const</span> std::vector<BackendId>& availablePreferredBackends,</div> |
| <div class="line"><a name="l00854"></a><span class="lineno"> 854</span>  std::string& reasonIfUnsupported,</div> |
| <div class="line"><a name="l00855"></a><span class="lineno"> 855</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional</a><std::vector<std::string>&> errMessages)</div> |
| <div class="line"><a name="l00856"></a><span class="lineno"> 856</span> {</div> |
| <div class="line"><a name="l00857"></a><span class="lineno"> 857</span>  <a class="code" href="structarmnn_1_1_optimization_result.html">OptimizationResult</a> result;</div> |
| <div class="line"><a name="l00858"></a><span class="lineno"> 858</span>  </div> |
| <div class="line"><a name="l00859"></a><span class="lineno"> 859</span>  <span class="comment">// Helper lambda to compose meaningful error message before returning with error</span></div> |
| <div class="line"><a name="l00860"></a><span class="lineno"> 860</span>  <span class="keyword">auto</span> ReturnError = [&](<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.html">Layer</a>* layer)</div> |
| <div class="line"><a name="l00861"></a><span class="lineno"> 861</span>  {</div> |
| <div class="line"><a name="l00862"></a><span class="lineno"> 862</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#aeee4e55e6ad4fe12b2168f9fd1e88141">ReturnWithError</a>(result, layer, backendSettings, errMessages);</div> |
| <div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  };</div> |
| <div class="line"><a name="l00864"></a><span class="lineno"> 864</span>  </div> |
| <div class="line"><a name="l00865"></a><span class="lineno"> 865</span>  <span class="comment">// need to set the compute device on the layer</span></div> |
| <div class="line"><a name="l00866"></a><span class="lineno"> 866</span>  <span class="comment">// before we can check if it is supported</span></div> |
| <div class="line"><a name="l00867"></a><span class="lineno"> 867</span>  layer-><a class="code" href="classarmnn_1_1_layer.html#a316670cb6b65902e017c32ca4bcb4b98">SetBackendId</a>(backend);</div> |
| <div class="line"><a name="l00868"></a><span class="lineno"> 868</span>  std::string currentReasonIfUnsupported;</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>  <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="l00871"></a><span class="lineno"> 871</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="l00872"></a><span class="lineno"> 872</span>  <span class="comment">// to be FP32 and inserting convert layers around the FP32 operator.</span></div> |
| <div class="line"><a name="l00873"></a><span class="lineno"> 873</span>  <span class="keywordtype">bool</span> isLayerSupported = <a class="code" href="classarmnn_1_1_i_workload_factory.html#a74dc9ec1a223eab8b072368b2dacee87">IWorkloadFactory::IsLayerSupported</a>(*layer, <a class="code" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>(), currentReasonIfUnsupported);</div> |
| <div class="line"><a name="l00874"></a><span class="lineno"> 874</span>  reasonIfUnsupported += currentReasonIfUnsupported;</div> |
| <div class="line"><a name="l00875"></a><span class="lineno"> 875</span>  <span class="comment">// This string matches the error message that is produced by acl when attempting to run FP16 kernels on</span></div> |
| <div class="line"><a name="l00876"></a><span class="lineno"> 876</span>  <span class="comment">// a cpu or build that does not have fp16 support. We use this to check if we should add</span></div> |
| <div class="line"><a name="l00877"></a><span class="lineno"> 877</span>  <span class="comment">// conversion layers or not.</span></div> |
| <div class="line"><a name="l00878"></a><span class="lineno"> 878</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="l00879"></a><span class="lineno"> 879</span>  <span class="keywordflow">if</span> (!isLayerSupported || currentReasonIfUnsupported.find(checkStr) != std::string::npos)</div> |
| <div class="line"><a name="l00880"></a><span class="lineno"> 880</span>  {</div> |
| <div class="line"><a name="l00881"></a><span class="lineno"> 881</span>  <span class="keywordflow">if</span> (dataTypeIn == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a> || dataTypeOut == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>)</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>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_i_workload_factory.html#a74dc9ec1a223eab8b072368b2dacee87">IWorkloadFactory::IsLayerSupported</a>(*layer, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>, reasonIfUnsupported)</div> |
| <div class="line"><a name="l00884"></a><span class="lineno"> 884</span>  && layer-><a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() != <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">LayerType::ConvertFp32ToFp16</a></div> |
| <div class="line"><a name="l00885"></a><span class="lineno"> 885</span>  && layer-><a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() != <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">LayerType::ConvertFp16ToFp32</a>)</div> |
| <div class="line"><a name="l00886"></a><span class="lineno"> 886</span>  {</div> |
| <div class="line"><a name="l00887"></a><span class="lineno"> 887</span>  <span class="keyword">auto</span> ConstantLayerFromFp16ToFp32 = [](<a class="code" href="classarmnn_1_1_layer.html">Layer</a>& layer)</div> |
| <div class="line"><a name="l00888"></a><span class="lineno"> 888</span>  {</div> |
| <div class="line"><a name="l00889"></a><span class="lineno"> 889</span>  <span class="keywordflow">if</span> (layer.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">LayerType::Constant</a>)</div> |
| <div class="line"><a name="l00890"></a><span class="lineno"> 890</span>  {</div> |
| <div class="line"><a name="l00891"></a><span class="lineno"> 891</span>  <a class="code" href="classarmnn_1_1_constant_layer.html">ConstantLayer</a>* constantLayer = PolymorphicDowncast<ConstantLayer*>(&layer);</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>  <span class="keyword">auto</span>& <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a> = constantLayer-><a class="code" href="classarmnn_1_1_constant_layer.html#ad0c4b8ee0efd8f9336571cbeab8a53fe">m_LayerOutput</a>->GetTensorInfo();</div> |
| <div class="line"><a name="l00894"></a><span class="lineno"> 894</span>  </div> |
| <div class="line"><a name="l00895"></a><span class="lineno"> 895</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetDataType() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>)</div> |
| <div class="line"><a name="l00896"></a><span class="lineno"> 896</span>  {</div> |
| <div class="line"><a name="l00897"></a><span class="lineno"> 897</span>  std::vector<float> newValues(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetNumElements());</div> |
| <div class="line"><a name="l00898"></a><span class="lineno"> 898</span>  </div> |
| <div class="line"><a name="l00899"></a><span class="lineno"> 899</span>  <a class="code" href="classarmnn_utils_1_1_floating_point_converter.html#ac1f1568f02163a68906a0030e0ba9871">armnnUtils::FloatingPointConverter::ConvertFloat16To32</a>(</div> |
| <div class="line"><a name="l00900"></a><span class="lineno"> 900</span>  constantLayer-><a class="code" href="classarmnn_1_1_constant_layer.html#ad0c4b8ee0efd8f9336571cbeab8a53fe">m_LayerOutput</a>->GetConstTensor<<a class="code" href="namespacearmnn.html#a0b49aa352b84d572942185ce72cef751">Half</a>>(),</div> |
| <div class="line"><a name="l00901"></a><span class="lineno"> 901</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetNumElements(),</div> |
| <div class="line"><a name="l00902"></a><span class="lineno"> 902</span>  newValues.data());</div> |
| <div class="line"><a name="l00903"></a><span class="lineno"> 903</span>  </div> |
| <div class="line"><a name="l00904"></a><span class="lineno"> 904</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> newInfo(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> |
| <div class="line"><a name="l00905"></a><span class="lineno"> 905</span>  newInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a71975fcec1464d639f1a78f73164d1bd">SetDataType</a>(<a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div> |
| <div class="line"><a name="l00906"></a><span class="lineno"> 906</span>  <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a> newInput(newInfo, newValues);</div> |
| <div class="line"><a name="l00907"></a><span class="lineno"> 907</span>  constantLayer-><a class="code" href="classarmnn_1_1_constant_layer.html#ad0c4b8ee0efd8f9336571cbeab8a53fe">m_LayerOutput</a>.reset(<span class="keyword">new</span> <a class="code" href="classarmnn_1_1_scoped_tensor_handle.html">ScopedTensorHandle</a>(newInput));</div> |
| <div class="line"><a name="l00908"></a><span class="lineno"> 908</span>  </div> |
| <div class="line"><a name="l00909"></a><span class="lineno"> 909</span>  layer.<a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#a7e5c5771d741dd5473989047a9314728">SetTensorInfo</a>(newInfo);</div> |
| <div class="line"><a name="l00910"></a><span class="lineno"> 910</span>  }</div> |
| <div class="line"><a name="l00911"></a><span class="lineno"> 911</span>  }</div> |
| <div class="line"><a name="l00912"></a><span class="lineno"> 912</span>  };</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>  <span class="keywordtype">bool</span> checkType = <span class="keyword">false</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">for</span> (<span class="keyword">auto</span> inputSlot : layer-><a class="code" href="classarmnn_1_1_layer.html#af5f530544d09a44d726f24702b67b35b">GetInputSlots</a>())</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="keyword">auto</span> connectedOutputSlot = inputSlot.GetConnectedOutputSlot();</div> |
| <div class="line"><a name="l00919"></a><span class="lineno"> 919</span>  <span class="keywordflow">if</span> (connectedOutputSlot->GetOwningLayer().GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">LayerType::Constant</a>)</div> |
| <div class="line"><a name="l00920"></a><span class="lineno"> 920</span>  {</div> |
| <div class="line"><a name="l00921"></a><span class="lineno"> 921</span>  <span class="keywordflow">if</span> (connectedOutputSlot->GetNumConnections() == 1)</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>  checkType = <span class="keyword">true</span>;</div> |
| <div class="line"><a name="l00924"></a><span class="lineno"> 924</span>  ConstantLayerFromFp16ToFp32(connectedOutputSlot->GetOwningLayer());</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>  }</div> |
| <div class="line"><a name="l00927"></a><span class="lineno"> 927</span>  }</div> |
| <div class="line"><a name="l00928"></a><span class="lineno"> 928</span>  </div> |
| <div class="line"><a name="l00929"></a><span class="lineno"> 929</span>  <span class="comment">// Insert FP16 -> FP32 conversion layer before current layer</span></div> |
| <div class="line"><a name="l00930"></a><span class="lineno"> 930</span>  std::vector<ConvertFp16ToFp32Layer*> convertFp16ToFp32Layers;</div> |
| <div class="line"><a name="l00931"></a><span class="lineno"> 931</span>  <span class="keywordflow">if</span> (dataTypeIn == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>)</div> |
| <div class="line"><a name="l00932"></a><span class="lineno"> 932</span>  {</div> |
| <div class="line"><a name="l00933"></a><span class="lineno"> 933</span>  convertFp16ToFp32Layers =</div> |
| <div class="line"><a name="l00934"></a><span class="lineno"> 934</span>  <a class="code" href="namespacearmnn.html#ad31c56533e4f9f9f51719599fbfcf7bb">InsertConvertFp16ToFp32LayersBefore</a>(graph, *layer, checkType);</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="comment">// Insert FP32 -> FP16 conversion layer after current layer</span></div> |
| <div class="line"><a name="l00938"></a><span class="lineno"> 938</span>  std::vector<ConvertFp32ToFp16Layer*> convertFp32ToFp16Layers;</div> |
| <div class="line"><a name="l00939"></a><span class="lineno"> 939</span>  <span class="keywordflow">if</span> (dataTypeOut == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>)</div> |
| <div class="line"><a name="l00940"></a><span class="lineno"> 940</span>  {</div> |
| <div class="line"><a name="l00941"></a><span class="lineno"> 941</span>  convertFp32ToFp16Layers =</div> |
| <div class="line"><a name="l00942"></a><span class="lineno"> 942</span>  <a class="code" href="namespacearmnn.html#abf625e50a5eaeafce5b39580dc95a9d3">InsertConvertFp32ToFp16LayersAfter</a>(graph, *layer);</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>  </div> |
| <div class="line"><a name="l00945"></a><span class="lineno"> 945</span>  <span class="comment">// Assign a supported backend to the newly introduced conversion layers</span></div> |
| <div class="line"><a name="l00946"></a><span class="lineno"> 946</span>  <span class="keyword">auto</span> AssignFirstSupportedBackend = [&](<a class="code" href="classarmnn_1_1_layer.html">Layer</a>* layer, <a class="code" href="classarmnn_1_1_backend_id.html">BackendId</a> preferredBackend)</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="keywordtype">bool</span> supportedBackendFound = <span class="keyword">false</span>;</div> |
| <div class="line"><a name="l00949"></a><span class="lineno"> 949</span>  std::string reasonIfUnsupported;</div> |
| <div class="line"><a name="l00950"></a><span class="lineno"> 950</span>  </div> |
| <div class="line"><a name="l00951"></a><span class="lineno"> 951</span>  <span class="comment">// Try preferred backend first</span></div> |
| <div class="line"><a name="l00952"></a><span class="lineno"> 952</span>  layer-><a class="code" href="classarmnn_1_1_layer.html#a316670cb6b65902e017c32ca4bcb4b98">SetBackendId</a>(preferredBackend);</div> |
| <div class="line"><a name="l00953"></a><span class="lineno"> 953</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_i_workload_factory.html#a74dc9ec1a223eab8b072368b2dacee87">IWorkloadFactory::IsLayerSupported</a>(*layer,</div> |
| <div class="line"><a name="l00954"></a><span class="lineno"> 954</span>  <a class="code" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>(),</div> |
| <div class="line"><a name="l00955"></a><span class="lineno"> 955</span>  reasonIfUnsupported))</div> |
| <div class="line"><a name="l00956"></a><span class="lineno"> 956</span>  {</div> |
| <div class="line"><a name="l00957"></a><span class="lineno"> 957</span>  supportedBackendFound = <span class="keyword">true</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>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l00960"></a><span class="lineno"> 960</span>  {</div> |
| <div class="line"><a name="l00961"></a><span class="lineno"> 961</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>& backend : availablePreferredBackends)</div> |
| <div class="line"><a name="l00962"></a><span class="lineno"> 962</span>  {</div> |
| <div class="line"><a name="l00963"></a><span class="lineno"> 963</span>  <span class="comment">// Skip preferred backend (we already determined that it is not supported)</span></div> |
| <div class="line"><a name="l00964"></a><span class="lineno"> 964</span>  <span class="keywordflow">if</span> (backend == preferredBackend)</div> |
| <div class="line"><a name="l00965"></a><span class="lineno"> 965</span>  {</div> |
| <div class="line"><a name="l00966"></a><span class="lineno"> 966</span>  <span class="keywordflow">continue</span>;</div> |
| <div class="line"><a name="l00967"></a><span class="lineno"> 967</span>  }</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>  layer-><a class="code" href="classarmnn_1_1_layer.html#a316670cb6b65902e017c32ca4bcb4b98">SetBackendId</a>(backend);</div> |
| <div class="line"><a name="l00970"></a><span class="lineno"> 970</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_i_workload_factory.html#a74dc9ec1a223eab8b072368b2dacee87">IWorkloadFactory::IsLayerSupported</a>(*layer,</div> |
| <div class="line"><a name="l00971"></a><span class="lineno"> 971</span>  <a class="code" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>(),</div> |
| <div class="line"><a name="l00972"></a><span class="lineno"> 972</span>  reasonIfUnsupported))</div> |
| <div class="line"><a name="l00973"></a><span class="lineno"> 973</span>  {</div> |
| <div class="line"><a name="l00974"></a><span class="lineno"> 974</span>  supportedBackendFound = <span class="keyword">true</span>;</div> |
| <div class="line"><a name="l00975"></a><span class="lineno"> 975</span>  <span class="keywordflow">break</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"> 977</span>  }</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>  </div> |
| <div class="line"><a name="l00980"></a><span class="lineno"> 980</span>  <span class="keywordflow">return</span> supportedBackendFound;</div> |
| <div class="line"><a name="l00981"></a><span class="lineno"> 981</span>  };</div> |
| <div class="line"><a name="l00982"></a><span class="lineno"> 982</span>  </div> |
| <div class="line"><a name="l00983"></a><span class="lineno"> 983</span>  <span class="keywordflow">for</span> (<a class="code" href="classarmnn_1_1_convert_fp16_to_fp32_layer.html">ConvertFp16ToFp32Layer</a>* convertLayer : convertFp16ToFp32Layers)</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>  <span class="keywordflow">if</span> (!AssignFirstSupportedBackend(convertLayer, backend))</div> |
| <div class="line"><a name="l00986"></a><span class="lineno"> 986</span>  {</div> |
| <div class="line"><a name="l00987"></a><span class="lineno"> 987</span>  <span class="keywordflow">return</span> ReturnError(convertLayer);</div> |
| <div class="line"><a name="l00988"></a><span class="lineno"> 988</span>  }</div> |
| <div class="line"><a name="l00989"></a><span class="lineno"> 989</span>  }</div> |
| <div class="line"><a name="l00990"></a><span class="lineno"> 990</span>  </div> |
| <div class="line"><a name="l00991"></a><span class="lineno"> 991</span>  <span class="keywordflow">for</span> (<a class="code" href="classarmnn_1_1_convert_fp32_to_fp16_layer.html">ConvertFp32ToFp16Layer</a>* convertLayer : convertFp32ToFp16Layers)</div> |
| <div class="line"><a name="l00992"></a><span class="lineno"> 992</span>  {</div> |
| <div class="line"><a name="l00993"></a><span class="lineno"> 993</span>  <span class="keywordflow">if</span> (!AssignFirstSupportedBackend(convertLayer, backend))</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="keywordflow">return</span> ReturnError(convertLayer);</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>  }</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>  <span class="keywordflow">return</span> result;</div> |
| <div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>  }</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>  </div> |
| <div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>  std::stringstream warningMsg;</div> |
| <div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>  warningMsg << <span class="stringliteral">"Layer of type "</span> << <a class="code" href="namespacearmnn.html#addb6b14dd1b632263ffe77430259a7c4">GetLayerTypeAsCString</a>(layer-><a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>())</div> |
| <div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>  << <span class="stringliteral">" is not supported on requested backend "</span> << layer-><a class="code" href="classarmnn_1_1_layer.html#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a>().<a class="code" href="classarmnn_1_1_backend_id.html#af7445617163d3f07c47b92ae56c6cf8b">Get</a>()</div> |
| <div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>  << <span class="stringliteral">" for input data type "</span> << <a class="code" href="namespacearmnn.html#a81b5ff8545adad19a1c9d4ca076d552c">GetDataTypeName</a>(dataTypeIn)</div> |
| <div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>  << <span class="stringliteral">" and output data type "</span> << <a class="code" href="namespacearmnn.html#a81b5ff8545adad19a1c9d4ca076d552c">GetDataTypeName</a>(dataTypeOut)</div> |
| <div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>  << <span class="stringliteral">" (reason: "</span> << reasonIfUnsupported</div> |
| <div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>  << <span class="stringliteral">"), falling back to the next backend."</span>;</div> |
| <div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>  <a class="code" href="namespacearmnn.html#a070307e9ee0f7969f7d4320145d1dddb">ReportWarning</a>(warningMsg.str(), errMessages);</div> |
| <div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>  </div> |
| <div class="line"><a name="l01012"></a><span class="lineno"> 1012</span>  <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_optimization_result.html">OptimizationResult</a>(<span class="keyword">true</span>, <span class="keyword">false</span>);</div> |
| <div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>  }</div> |
| <div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>  {</div> |
| <div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>  <span class="keywordflow">return</span> result;</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> }</div> |
| <div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>  </div> |
| <div class="line"><a name="l01020"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a2b8ec686784330e8f20e4444f1ed7e98"> 1020</a></span> <span class="keyword">inline</span> std::vector<DataType> <a class="code" href="namespacearmnn.html#a2b8ec686784330e8f20e4444f1ed7e98">GetLayerInOutDatatype</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.html">Layer</a>* layer)</div> |
| <div class="line"><a name="l01021"></a><span class="lineno"> 1021</span> {</div> |
| <div class="line"><a name="l01022"></a><span class="lineno"> 1022</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dataTypeIn = layer-><a class="code" href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>() == 0 ? <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a> :</div> |
| <div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>  layer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>();</div> |
| <div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dataTypeOut = layer-><a class="code" href="classarmnn_1_1_layer.html#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>() == 0 ? <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a> :</div> |
| <div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>  layer-><a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>();</div> |
| <div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>  <span class="keywordflow">return</span> {dataTypeIn, dataTypeOut};</div> |
| <div class="line"><a name="l01027"></a><span class="lineno"> 1027</span> }</div> |
| <div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>  </div> |
| <div class="line"><a name="l01029"></a><span class="lineno"><a class="line" href="namespacearmnn.html#aa52ce4f1fab044ad0c73f9613e2ef6ce"> 1029</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#aa52ce4f1fab044ad0c73f9613e2ef6ce">CheckFp16Support</a>(<a class="code" href="namespacearmnn.html#a9173495a61a0092b5f38b855f02c3585">BackendsMap</a>& backends,</div> |
| <div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>  <span class="keyword">const</span> std::vector<BackendId>& availablePreferredBackends)</div> |
| <div class="line"><a name="l01031"></a><span class="lineno"> 1031</span> {</div> |
| <div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>  <span class="keywordtype">bool</span> hasFp16 = <span class="keyword">false</span>;</div> |
| <div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>  <span class="comment">// Check if the first preferred backend has FP16 support</span></div> |
| <div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>  <span class="keyword">auto</span> firstBackend = availablePreferredBackends[0];</div> |
| <div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>  <span class="keyword">auto</span> backendObjPtr = backends.find(firstBackend)->second.get();</div> |
| <div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(backendObjPtr);</div> |
| <div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>  <span class="keyword">auto</span> hasFp16Capability = <a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.html">BackendOptions::BackendOption</a>{<span class="stringliteral">"HasFp16"</span>, <span class="keyword">true</span>};</div> |
| <div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>  <span class="keyword">auto</span> backendCapabilities = backendObjPtr->GetCapabilities();</div> |
| <div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>  </div> |
| <div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.html#a406399d2a16ead98e4e93cdd57adead4">HasMatchingCapability</a>(hasFp16Capability, backendCapabilities))</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="comment">// First preferred backend has FP16 support. Enable reduce FP32 to FP16 when fp16-turbo-mode is enabled.</span></div> |
| <div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>  hasFp16 = <span class="keyword">true</span>;</div> |
| <div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407aad42f6697b035b7580e4fef93be20b4d">debug</a>) << <span class="stringliteral">"The first available preferred backend: "</span> << firstBackend</div> |
| <div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>  << <span class="stringliteral">", has FP16 support."</span>;</div> |
| <div class="line"><a name="l01046"></a><span class="lineno"> 1046</span>  }</div> |
| <div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>  {</div> |
| <div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd">warning</a>) << <span class="stringliteral">"The first available preferred backend: "</span> << firstBackend</div> |
| <div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>  << <span class="stringliteral">", does not have FP16 support. "</span></div> |
| <div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>  << <span class="stringliteral">"The FP16 turbo mode option will be disable. It will run using FP32."</span>;</div> |
| <div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>  }</div> |
| <div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>  </div> |
| <div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>  <span class="comment">// Check if the rest of the available preferred backends have FP16 support</span></div> |
| <div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 1; i < availablePreferredBackends.size(); ++i)</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>  <span class="keyword">auto</span> backend = availablePreferredBackends[i];</div> |
| <div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>  backendObjPtr = backends.find(backend)->second.get();</div> |
| <div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>  backendCapabilities = backendObjPtr->GetCapabilities();</div> |
| <div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>  <span class="keywordflow">if</span> (!<a class="code" href="namespacearmnn.html#a406399d2a16ead98e4e93cdd57adead4">HasMatchingCapability</a>(hasFp16Capability, backendCapabilities))</div> |
| <div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>  {</div> |
| <div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd">warning</a>) << <span class="stringliteral">"Next preferred backend: "</span> << backend << <span class="stringliteral">", does not have FP16 support. "</span></div> |
| <div class="line"><a name="l01063"></a><span class="lineno"> 1063</span>  << <span class="stringliteral">"It will run using FP32 when falling back to this backend."</span>;</div> |
| <div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>  }</div> |
| <div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>  <span class="keywordflow">else</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>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407aad42f6697b035b7580e4fef93be20b4d">debug</a>) << <span class="stringliteral">"Next preferred backend: "</span> << backend << <span class="stringliteral">", has FP16 support."</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>  }</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>  <span class="keywordflow">return</span> hasFp16;</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">// Refactor to allow passing the IConnectableLayer* rather than Layer Iterator</span></div> |
| <div class="line"><a name="l01075"></a><span class="lineno"> 1075</span> <span class="comment">// on Graph and SubgraphView which are different types.</span></div> |
| <div class="line"><a name="l01076"></a><span class="lineno"><a class="line" href="namespacearmnn.html#af52a698836d638d0a71263c6c1496a05"> 1076</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#af52a698836d638d0a71263c6c1496a05">AssignBackendsIConnectable</a>(<a class="code" href="classarmnn_1_1_optimized_network_impl.html">OptimizedNetworkImpl</a>* optNetObjPtr,</div> |
| <div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* it,</div> |
| <div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional</a><std::vector<std::string>&> errMessages,</div> |
| <div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>  <a class="code" href="structarmnn_1_1_optimization_result.html">OptimizationResult</a>& result,</div> |
| <div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>  <a class="code" href="structarmnn_1_1_backend_settings.html">BackendSettings</a>& backendSettings,</div> |
| <div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>  std::vector<BackendId>& availablePreferredBackends)</div> |
| <div class="line"><a name="l01082"></a><span class="lineno"> 1082</span> {</div> |
| <div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>  <span class="keyword">auto</span> ReturnError = [&](<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.html">Layer</a>* layer)</div> |
| <div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>  {</div> |
| <div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#aeee4e55e6ad4fe12b2168f9fd1e88141">ReturnWithError</a>(result, layer, backendSettings, errMessages);</div> |
| <div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>  };</div> |
| <div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>  </div> |
| <div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>  <span class="keyword">auto</span> layer = PolymorphicDowncast<Layer*>(it);</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">if</span> (layer->GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>)</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>  <span class="keywordflow">return</span>;</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>  std::vector<DataType> inOutDataType = <a class="code" href="namespacearmnn.html#a2b8ec686784330e8f20e4444f1ed7e98">GetLayerInOutDatatype</a>(layer);</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>  std::string reasonIfUnsupported;</div> |
| <div class="line"><a name="l01098"></a><span class="lineno"> 1098</span>  <span class="keywordtype">bool</span> found = <span class="keyword">false</span>;</div> |
| <div class="line"><a name="l01099"></a><span class="lineno"> 1099</span>  <span class="keywordflow">if</span> (!<a class="code" href="namespacearmnn.html#a8bf1222ae8931bf663fa076b3e3b6f0e">CheckScaleSetOnQuantizedType</a>(layer, errMessages))</div> |
| <div class="line"><a name="l01100"></a><span class="lineno"> 1100</span>  {</div> |
| <div class="line"><a name="l01101"></a><span class="lineno"> 1101</span>  <span class="comment">// don't bomb immediately, find all the quantized outputs</span></div> |
| <div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>  <span class="comment">// which haven't had a scale set and report them all back.</span></div> |
| <div class="line"><a name="l01103"></a><span class="lineno"> 1103</span>  result.<a class="code" href="structarmnn_1_1_optimization_result.html#a41a657cfacb52a80a73575c5c730ab88">m_Error</a> = <span class="keyword">true</span>;</div> |
| <div class="line"><a name="l01104"></a><span class="lineno"> 1104</span>  }</div> |
| <div class="line"><a name="l01105"></a><span class="lineno"> 1105</span>  </div> |
| <div class="line"><a name="l01106"></a><span class="lineno"> 1106</span>  <span class="comment">// First try assign layer to hint backend</span></div> |
| <div class="line"><a name="l01107"></a><span class="lineno"> 1107</span>  <span class="keywordflow">if</span> (layer->GetBackendHint().has_value() &&</div> |
| <div class="line"><a name="l01108"></a><span class="lineno"> 1108</span>  backendSettings.<a class="code" href="structarmnn_1_1_backend_settings.html#aa5df3120ee0fbb3321df3133ec9e83ae">IsBackendSupported</a>(layer->GetBackendHint().value()) &&</div> |
| <div class="line"><a name="l01109"></a><span class="lineno"> 1109</span>  <a class="code" href="namespacearmnn.html#abd660675ae5a9df777dcdb30c50224f6">AttemptBackendAssignment</a>(backendSettings,</div> |
| <div class="line"><a name="l01110"></a><span class="lineno"> 1110</span>  optNetObjPtr-><a class="code" href="classarmnn_1_1_optimized_network_impl.html#a49800ad35ea869aa5569519760d3b339">GetGraph</a>(),</div> |
| <div class="line"><a name="l01111"></a><span class="lineno"> 1111</span>  layer,</div> |
| <div class="line"><a name="l01112"></a><span class="lineno"> 1112</span>  layer->GetBackendHint().value(),</div> |
| <div class="line"><a name="l01113"></a><span class="lineno"> 1113</span>  inOutDataType[0],</div> |
| <div class="line"><a name="l01114"></a><span class="lineno"> 1114</span>  inOutDataType[1],</div> |
| <div class="line"><a name="l01115"></a><span class="lineno"> 1115</span>  availablePreferredBackends,</div> |
| <div class="line"><a name="l01116"></a><span class="lineno"> 1116</span>  reasonIfUnsupported,</div> |
| <div class="line"><a name="l01117"></a><span class="lineno"> 1117</span>  errMessages).<a class="code" href="structarmnn_1_1_optimization_result.html#a955b65059e7f9429a5d6041136bc1487">IsOk</a>())</div> |
| <div class="line"><a name="l01118"></a><span class="lineno"> 1118</span>  {</div> |
| <div class="line"><a name="l01119"></a><span class="lineno"> 1119</span>  found = <span class="keyword">true</span>;</div> |
| <div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>  backendSettings.<a class="code" href="structarmnn_1_1_backend_settings.html#aa09ac75b83067c5ed455f2bb35c7c98d">m_SelectedBackends</a>.insert(layer->GetBackendHint().value());</div> |
| <div class="line"><a name="l01121"></a><span class="lineno"> 1121</span>  }</div> |
| <div class="line"><a name="l01122"></a><span class="lineno"> 1122</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l01123"></a><span class="lineno"> 1123</span>  {</div> |
| <div class="line"><a name="l01124"></a><span class="lineno"> 1124</span>  <span class="comment">// Try assign layer to prefered list of backends</span></div> |
| <div class="line"><a name="l01125"></a><span class="lineno"> 1125</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>& backend : availablePreferredBackends)</div> |
| <div class="line"><a name="l01126"></a><span class="lineno"> 1126</span>  {</div> |
| <div class="line"><a name="l01127"></a><span class="lineno"> 1127</span>  <span class="keywordflow">if</span> (layer->GetBackendHint().has_value() &&</div> |
| <div class="line"><a name="l01128"></a><span class="lineno"> 1128</span>  layer->GetBackendHint().value() == backend)</div> |
| <div class="line"><a name="l01129"></a><span class="lineno"> 1129</span>  {</div> |
| <div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>  <span class="keywordflow">continue</span>; <span class="comment">//Don't re-test the backend hint</span></div> |
| <div class="line"><a name="l01131"></a><span class="lineno"> 1131</span>  }</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>  <a class="code" href="structarmnn_1_1_optimization_result.html">OptimizationResult</a> res = <a class="code" href="namespacearmnn.html#abd660675ae5a9df777dcdb30c50224f6">AttemptBackendAssignment</a>(backendSettings,</div> |
| <div class="line"><a name="l01134"></a><span class="lineno"> 1134</span>  optNetObjPtr-><a class="code" href="classarmnn_1_1_optimized_network_impl.html#a49800ad35ea869aa5569519760d3b339">GetGraph</a>(),</div> |
| <div class="line"><a name="l01135"></a><span class="lineno"> 1135</span>  layer,</div> |
| <div class="line"><a name="l01136"></a><span class="lineno"> 1136</span>  backend,</div> |
| <div class="line"><a name="l01137"></a><span class="lineno"> 1137</span>  inOutDataType[0],</div> |
| <div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>  inOutDataType[1],</div> |
| <div class="line"><a name="l01139"></a><span class="lineno"> 1139</span>  availablePreferredBackends,</div> |
| <div class="line"><a name="l01140"></a><span class="lineno"> 1140</span>  reasonIfUnsupported,</div> |
| <div class="line"><a name="l01141"></a><span class="lineno"> 1141</span>  errMessages);</div> |
| <div class="line"><a name="l01142"></a><span class="lineno"> 1142</span>  </div> |
| <div class="line"><a name="l01143"></a><span class="lineno"> 1143</span>  <span class="keywordflow">if</span> (res.<a class="code" href="structarmnn_1_1_optimization_result.html#a955b65059e7f9429a5d6041136bc1487">IsOk</a>())</div> |
| <div class="line"><a name="l01144"></a><span class="lineno"> 1144</span>  {</div> |
| <div class="line"><a name="l01145"></a><span class="lineno"> 1145</span>  found = <span class="keyword">true</span>;</div> |
| <div class="line"><a name="l01146"></a><span class="lineno"> 1146</span>  backendSettings.<a class="code" href="structarmnn_1_1_backend_settings.html#aa09ac75b83067c5ed455f2bb35c7c98d">m_SelectedBackends</a>.insert(backend);</div> |
| <div class="line"><a name="l01147"></a><span class="lineno"> 1147</span>  <span class="keywordflow">break</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">else</span> <span class="keywordflow">if</span> (res.<a class="code" href="structarmnn_1_1_optimization_result.html#aca1654c65182fe4e7d5fd45f556fcd57">IsError</a>())</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>  result = res; <span class="comment">// Cannot continue.</span></div> |
| <div class="line"><a name="l01152"></a><span class="lineno"> 1152</span>  <span class="comment">// Note: we don't need to log the error as it would already</span></div> |
| <div class="line"><a name="l01153"></a><span class="lineno"> 1153</span>  <span class="comment">// be logged in AttemptBackendAssignment().</span></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>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l01156"></a><span class="lineno"> 1156</span>  {</div> |
| <div class="line"><a name="l01157"></a><span class="lineno"> 1157</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(res.<a class="code" href="structarmnn_1_1_optimization_result.html#a2a35773a5a0e08b180a12205c3e15500">IsWarningOnly</a>(), <span class="stringliteral">"OptimizationResult in unexpected state."</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>  }</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>  <span class="comment">// If the layer is unsupported by any devices, log and return a null network.</span></div> |
| <div class="line"><a name="l01163"></a><span class="lineno"> 1163</span>  <span class="keywordflow">if</span> (!found)</div> |
| <div class="line"><a name="l01164"></a><span class="lineno"> 1164</span>  {</div> |
| <div class="line"><a name="l01165"></a><span class="lineno"> 1165</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="l01166"></a><span class="lineno"> 1166</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="l01167"></a><span class="lineno"> 1167</span>  <span class="comment">// available as accelerated operations, or are only available under certain</span></div> |
| <div class="line"><a name="l01168"></a><span class="lineno"> 1168</span>  <span class="comment">// conditions, currently they comprise MemCopy, Constant, Permute)</span></div> |
| <div class="line"><a name="l01169"></a><span class="lineno"> 1169</span>  <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a> layerType = layer->GetType();</div> |
| <div class="line"><a name="l01170"></a><span class="lineno"> 1170</span>  <span class="keywordflow">if</span> (!backendSettings.<a class="code" href="structarmnn_1_1_backend_settings.html#ae4f9f2c5e3b5cf694315f66cde5b33f0">IsCpuRefUsed</a>() && (layerType == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">armnn::LayerType::MemCopy</a> ||</div> |
| <div class="line"><a name="l01171"></a><span class="lineno"> 1171</span>  layerType == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a> ||</div> |
| <div class="line"><a name="l01172"></a><span class="lineno"> 1172</span>  layerType == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">armnn::LayerType::Permute</a>))</div> |
| <div class="line"><a name="l01173"></a><span class="lineno"> 1173</span>  {</div> |
| <div class="line"><a name="l01174"></a><span class="lineno"> 1174</span>  <a class="code" href="classarmnn_1_1_backend_id.html">BackendId</a> cpuBackendId(<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">armnn::Compute::CpuRef</a>);</div> |
| <div class="line"><a name="l01175"></a><span class="lineno"> 1175</span>  layer->SetBackendId(cpuBackendId);</div> |
| <div class="line"><a name="l01176"></a><span class="lineno"> 1176</span>  backendSettings.<a class="code" href="structarmnn_1_1_backend_settings.html#aa09ac75b83067c5ed455f2bb35c7c98d">m_SelectedBackends</a>.insert(cpuBackendId);</div> |
| <div class="line"><a name="l01177"></a><span class="lineno"> 1177</span>  }</div> |
| <div class="line"><a name="l01178"></a><span class="lineno"> 1178</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l01179"></a><span class="lineno"> 1179</span>  {</div> |
| <div class="line"><a name="l01180"></a><span class="lineno"> 1180</span>  result = ReturnError(layer);</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>  </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>  </div> |
| <div class="line"><a name="l01186"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a839ad76f1f52a70b540805b231f05d9c"> 1186</a></span> <a class="code" href="structarmnn_1_1_optimization_result.html">OptimizationResult</a> <a class="code" href="namespacearmnn.html#a839ad76f1f52a70b540805b231f05d9c">AssignBackends</a>(<a class="code" href="classarmnn_1_1_optimized_network_impl.html">OptimizedNetworkImpl</a>* optNetObjPtr,</div> |
| <div class="line"><a name="l01187"></a><span class="lineno"> 1187</span>  <a class="code" href="structarmnn_1_1_backend_settings.html">BackendSettings</a>& backendSettings,</div> |
| <div class="line"><a name="l01188"></a><span class="lineno"> 1188</span>  <a class="code" href="classarmnn_1_1_graph.html#acc25db0641c1c22faf95af3bb49080c9">Graph::Iterator</a>& firstLayer,</div> |
| <div class="line"><a name="l01189"></a><span class="lineno"> 1189</span>  <a class="code" href="classarmnn_1_1_graph.html#acc25db0641c1c22faf95af3bb49080c9">Graph::Iterator</a>& lastLayer,</div> |
| <div class="line"><a name="l01190"></a><span class="lineno"> 1190</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional</a><std::vector<std::string>&> errMessages)</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>  <a class="code" href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"Optimizer_AssignBackends"</span>);</div> |
| <div class="line"><a name="l01193"></a><span class="lineno"> 1193</span>  <a class="code" href="structarmnn_1_1_optimization_result.html">OptimizationResult</a> result;</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> availablePreferredBackends = backendSettings.<a class="code" href="structarmnn_1_1_backend_settings.html#ad4ca579528452c669b45f3f35300fd4e">GetAvailablePreferredBackends</a>();</div> |
| <div class="line"><a name="l01196"></a><span class="lineno"> 1196</span>  <span class="keywordflow">if</span> (availablePreferredBackends.empty())</div> |
| <div class="line"><a name="l01197"></a><span class="lineno"> 1197</span>  {</div> |
| <div class="line"><a name="l01198"></a><span class="lineno"> 1198</span>  std::stringstream failureMsg;</div> |
| <div class="line"><a name="l01199"></a><span class="lineno"> 1199</span>  failureMsg << <span class="stringliteral">"No preferred backends are available"</span>;</div> |
| <div class="line"><a name="l01200"></a><span class="lineno"> 1200</span>  <a class="code" href="namespacearmnn.html#a3cf1cee98e0ed8b54263ec7279f6ec69">ReportError</a>(failureMsg.str(), errMessages);</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>  result.<a class="code" href="structarmnn_1_1_optimization_result.html#a41a657cfacb52a80a73575c5c730ab88">m_Error</a> = <span class="keyword">true</span>;</div> |
| <div class="line"><a name="l01203"></a><span class="lineno"> 1203</span>  <span class="keywordflow">return</span> result;</div> |
| <div class="line"><a name="l01204"></a><span class="lineno"> 1204</span>  }</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>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> it = firstLayer; it != lastLayer; ++it)</div> |
| <div class="line"><a name="l01207"></a><span class="lineno"> 1207</span>  {</div> |
| <div class="line"><a name="l01208"></a><span class="lineno"> 1208</span>  <span class="keyword">auto</span> layer = PolymorphicDowncast<Layer*>(*it);</div> |
| <div class="line"><a name="l01209"></a><span class="lineno"> 1209</span>  std::vector<DataType> inOutDataType = <a class="code" href="namespacearmnn.html#a2b8ec686784330e8f20e4444f1ed7e98">GetLayerInOutDatatype</a>(layer);</div> |
| <div class="line"><a name="l01210"></a><span class="lineno"> 1210</span>  </div> |
| <div class="line"><a name="l01211"></a><span class="lineno"> 1211</span>  <span class="comment">// In AttemptBackendAssignment() we check:</span></div> |
| <div class="line"><a name="l01212"></a><span class="lineno"> 1212</span>  <span class="comment">// - if input/output datatypes of the layer are float16</span></div> |
| <div class="line"><a name="l01213"></a><span class="lineno"> 1213</span>  <span class="comment">// - if the layer is supported with these datatypes</span></div> |
| <div class="line"><a name="l01214"></a><span class="lineno"> 1214</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="l01215"></a><span class="lineno"> 1215</span>  <span class="comment">// we attempt to insert convertion layers either side of the new fp32 layer.</span></div> |
| <div class="line"><a name="l01216"></a><span class="lineno"> 1216</span>  <span class="keywordtype">bool</span> isFloat16 = <span class="keyword">false</span>;</div> |
| <div class="line"><a name="l01217"></a><span class="lineno"> 1217</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> type : inOutDataType)</div> |
| <div class="line"><a name="l01218"></a><span class="lineno"> 1218</span>  {</div> |
| <div class="line"><a name="l01219"></a><span class="lineno"> 1219</span>  <span class="keywordflow">if</span> (type == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>)</div> |
| <div class="line"><a name="l01220"></a><span class="lineno"> 1220</span>  {</div> |
| <div class="line"><a name="l01221"></a><span class="lineno"> 1221</span>  isFloat16 = <span class="keyword">true</span>;</div> |
| <div class="line"><a name="l01222"></a><span class="lineno"> 1222</span>  <span class="keywordflow">break</span>;</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>  }</div> |
| <div class="line"><a name="l01225"></a><span class="lineno"> 1225</span>  </div> |
| <div class="line"><a name="l01226"></a><span class="lineno"> 1226</span>  <span class="keywordflow">if</span> (layer->GetBackendId() == <span class="stringliteral">"Unknown"</span> || isFloat16)</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>  <a class="code" href="namespacearmnn.html#af52a698836d638d0a71263c6c1496a05">AssignBackendsIConnectable</a>(optNetObjPtr,</div> |
| <div class="line"><a name="l01229"></a><span class="lineno"> 1229</span>  *it,</div> |
| <div class="line"><a name="l01230"></a><span class="lineno"> 1230</span>  errMessages,</div> |
| <div class="line"><a name="l01231"></a><span class="lineno"> 1231</span>  result,</div> |
| <div class="line"><a name="l01232"></a><span class="lineno"> 1232</span>  backendSettings,</div> |
| <div class="line"><a name="l01233"></a><span class="lineno"> 1233</span>  availablePreferredBackends);</div> |
| <div class="line"><a name="l01234"></a><span class="lineno"> 1234</span>  }</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">for</span> (<span class="keyword">auto</span> it = firstLayer; it != lastLayer; ++it)</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>  <span class="keyword">auto</span> layer = PolymorphicDowncast<Layer*>(*it);</div> |
| <div class="line"><a name="l01240"></a><span class="lineno"> 1240</span>  </div> |
| <div class="line"><a name="l01241"></a><span class="lineno"> 1241</span>  <span class="keywordflow">if</span>(layer->GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>)</div> |
| <div class="line"><a name="l01242"></a><span class="lineno"> 1242</span>  {</div> |
| <div class="line"><a name="l01243"></a><span class="lineno"> 1243</span>  <a class="code" href="classarmnn_1_1_backend_id.html">BackendId</a> connectedBackendId = layer->GetOutputSlot(0).GetConnection(0)->GetOwningLayer().GetBackendId();</div> |
| <div class="line"><a name="l01244"></a><span class="lineno"> 1244</span>  layer->SetBackendId(connectedBackendId);</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>  }</div> |
| <div class="line"><a name="l01247"></a><span class="lineno"> 1247</span>  </div> |
| <div class="line"><a name="l01248"></a><span class="lineno"> 1248</span>  <span class="keywordflow">return</span> 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>  </div> |
| <div class="line"><a name="l01251"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a4a0c704ab68e6741579b60b681e5d919"> 1251</a></span> <a class="code" href="structarmnn_1_1_optimization_result.html">OptimizationResult</a> <a class="code" href="namespacearmnn.html#a839ad76f1f52a70b540805b231f05d9c">AssignBackends</a>(<a class="code" href="classarmnn_1_1_optimized_network_impl.html">OptimizedNetworkImpl</a>* optNetObjPtr,</div> |
| <div class="line"><a name="l01252"></a><span class="lineno"> 1252</span>  <a class="code" href="structarmnn_1_1_backend_settings.html">BackendSettings</a>& backendSettings,</div> |
| <div class="line"><a name="l01253"></a><span class="lineno"> 1253</span>  <a class="code" href="classarmnn_1_1_subgraph_view.html#a308b86dbdd0a745cef76904674c9850f">SubgraphView::IConnectableLayerIterator</a>& firstLayer,</div> |
| <div class="line"><a name="l01254"></a><span class="lineno"> 1254</span>  <a class="code" href="classarmnn_1_1_subgraph_view.html#a308b86dbdd0a745cef76904674c9850f">SubgraphView::IConnectableLayerIterator</a>& lastLayer,</div> |
| <div class="line"><a name="l01255"></a><span class="lineno"> 1255</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional</a><std::vector<std::string>&> errMessages)</div> |
| <div class="line"><a name="l01256"></a><span class="lineno"> 1256</span> {</div> |
| <div class="line"><a name="l01257"></a><span class="lineno"> 1257</span>  <a class="code" href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"Optimizer_AssignBackends"</span>);</div> |
| <div class="line"><a name="l01258"></a><span class="lineno"> 1258</span>  <a class="code" href="structarmnn_1_1_optimization_result.html">OptimizationResult</a> result;</div> |
| <div class="line"><a name="l01259"></a><span class="lineno"> 1259</span>  </div> |
| <div class="line"><a name="l01260"></a><span class="lineno"> 1260</span>  <span class="keyword">auto</span> availablePreferredBackends = backendSettings.<a class="code" href="structarmnn_1_1_backend_settings.html#ad4ca579528452c669b45f3f35300fd4e">GetAvailablePreferredBackends</a>();</div> |
| <div class="line"><a name="l01261"></a><span class="lineno"> 1261</span>  <span class="keywordflow">if</span> (availablePreferredBackends.empty())</div> |
| <div class="line"><a name="l01262"></a><span class="lineno"> 1262</span>  {</div> |
| <div class="line"><a name="l01263"></a><span class="lineno"> 1263</span>  std::stringstream failureMsg;</div> |
| <div class="line"><a name="l01264"></a><span class="lineno"> 1264</span>  failureMsg << <span class="stringliteral">"No preferred backends are available"</span>;</div> |
| <div class="line"><a name="l01265"></a><span class="lineno"> 1265</span>  <a class="code" href="namespacearmnn.html#a3cf1cee98e0ed8b54263ec7279f6ec69">ReportError</a>(failureMsg.str(), errMessages);</div> |
| <div class="line"><a name="l01266"></a><span class="lineno"> 1266</span>  </div> |
| <div class="line"><a name="l01267"></a><span class="lineno"> 1267</span>  result.<a class="code" href="structarmnn_1_1_optimization_result.html#a41a657cfacb52a80a73575c5c730ab88">m_Error</a> = <span class="keyword">true</span>;</div> |
| <div class="line"><a name="l01268"></a><span class="lineno"> 1268</span>  <span class="keywordflow">return</span> result;</div> |
| <div class="line"><a name="l01269"></a><span class="lineno"> 1269</span>  }</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>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> it = firstLayer; it != lastLayer; ++it)</div> |
| <div class="line"><a name="l01272"></a><span class="lineno"> 1272</span>  {</div> |
| <div class="line"><a name="l01273"></a><span class="lineno"> 1273</span>  <a class="code" href="namespacearmnn.html#af52a698836d638d0a71263c6c1496a05">AssignBackendsIConnectable</a>(optNetObjPtr,</div> |
| <div class="line"><a name="l01274"></a><span class="lineno"> 1274</span>  *it,</div> |
| <div class="line"><a name="l01275"></a><span class="lineno"> 1275</span>  errMessages,</div> |
| <div class="line"><a name="l01276"></a><span class="lineno"> 1276</span>  result,</div> |
| <div class="line"><a name="l01277"></a><span class="lineno"> 1277</span>  backendSettings,</div> |
| <div class="line"><a name="l01278"></a><span class="lineno"> 1278</span>  availablePreferredBackends);</div> |
| <div class="line"><a name="l01279"></a><span class="lineno"> 1279</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>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> it = firstLayer; it != lastLayer; ++it)</div> |
| <div class="line"><a name="l01282"></a><span class="lineno"> 1282</span>  {</div> |
| <div class="line"><a name="l01283"></a><span class="lineno"> 1283</span>  <span class="keyword">auto</span> layer = PolymorphicDowncast<Layer*>(*it);</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="keywordflow">if</span>(layer->GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>)</div> |
| <div class="line"><a name="l01286"></a><span class="lineno"> 1286</span>  {</div> |
| <div class="line"><a name="l01287"></a><span class="lineno"> 1287</span>  <a class="code" href="classarmnn_1_1_backend_id.html">BackendId</a> connectedBackendId = layer->GetOutputSlot(0).GetConnection(0)->GetOwningLayer().GetBackendId();</div> |
| <div class="line"><a name="l01288"></a><span class="lineno"> 1288</span>  layer->SetBackendId(connectedBackendId);</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>  }</div> |
| <div class="line"><a name="l01291"></a><span class="lineno"> 1291</span>  </div> |
| <div class="line"><a name="l01292"></a><span class="lineno"> 1292</span>  <span class="keywordflow">return</span> result;</div> |
| <div class="line"><a name="l01293"></a><span class="lineno"> 1293</span> }</div> |
| <div class="line"><a name="l01294"></a><span class="lineno"> 1294</span>  </div> |
| <div class="line"><a name="l01295"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a0ea4ff80d0075ff847e96dc12e734368"> 1295</a></span> <a class="code" href="structarmnn_1_1_optimization_result.html">OptimizationResult</a> <a class="code" href="namespacearmnn.html#a839ad76f1f52a70b540805b231f05d9c">AssignBackends</a>(<a class="code" href="classarmnn_1_1_optimized_network_impl.html">OptimizedNetworkImpl</a>* optNetObjPtr,</div> |
| <div class="line"><a name="l01296"></a><span class="lineno"> 1296</span>  <a class="code" href="structarmnn_1_1_backend_settings.html">BackendSettings</a>& backendSettings,</div> |
| <div class="line"><a name="l01297"></a><span class="lineno"> 1297</span>  <a class="code" href="classarmnn_1_1_subgraph_view.html">SubgraphView</a>& subgraph,</div> |
| <div class="line"><a name="l01298"></a><span class="lineno"> 1298</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional</a><std::vector<std::string>&> errMessages)</div> |
| <div class="line"><a name="l01299"></a><span class="lineno"> 1299</span> {</div> |
| <div class="line"><a name="l01300"></a><span class="lineno"> 1300</span>  <a class="code" href="classarmnn_1_1_subgraph_view.html#a308b86dbdd0a745cef76904674c9850f">SubgraphView::IConnectableLayerIterator</a> firstLayer = subgraph.<a class="code" href="classarmnn_1_1_subgraph_view.html#ad2570202bb366163f8b4660bfe78c49d">begin</a>();</div> |
| <div class="line"><a name="l01301"></a><span class="lineno"> 1301</span>  <a class="code" href="classarmnn_1_1_subgraph_view.html#a308b86dbdd0a745cef76904674c9850f">SubgraphView::IConnectableLayerIterator</a> lastLayer = subgraph.<a class="code" href="classarmnn_1_1_subgraph_view.html#afc40490fb4f488bd2a211e81c06a6971">end</a>();</div> |
| <div class="line"><a name="l01302"></a><span class="lineno"> 1302</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#a839ad76f1f52a70b540805b231f05d9c">AssignBackends</a>(optNetObjPtr,</div> |
| <div class="line"><a name="l01303"></a><span class="lineno"> 1303</span>  backendSettings,</div> |
| <div class="line"><a name="l01304"></a><span class="lineno"> 1304</span>  firstLayer,</div> |
| <div class="line"><a name="l01305"></a><span class="lineno"> 1305</span>  lastLayer,</div> |
| <div class="line"><a name="l01306"></a><span class="lineno"> 1306</span>  errMessages);</div> |
| <div class="line"><a name="l01307"></a><span class="lineno"> 1307</span> }</div> |
| <div class="line"><a name="l01308"></a><span class="lineno"> 1308</span>  </div> |
| <div class="line"><a name="l01309"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a1ec6b4c20ed294a96cf94c33c24caaf5"> 1309</a></span> <a class="code" href="namespacearmnn.html#a9173495a61a0092b5f38b855f02c3585">BackendsMap</a> <a class="code" href="namespacearmnn.html#a1ec6b4c20ed294a96cf94c33c24caaf5">CreateSupportedBackends</a>(<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a>& handleFactoryRegistry,</div> |
| <div class="line"><a name="l01310"></a><span class="lineno"> 1310</span>  <a class="code" href="structarmnn_1_1_backend_settings.html">BackendSettings</a>& backendSettings)</div> |
| <div class="line"><a name="l01311"></a><span class="lineno"> 1311</span> {</div> |
| <div class="line"><a name="l01312"></a><span class="lineno"> 1312</span>  <a class="code" href="namespacearmnn.html#a9173495a61a0092b5f38b855f02c3585">BackendsMap</a> backends;</div> |
| <div class="line"><a name="l01313"></a><span class="lineno"> 1313</span>  <span class="keyword">auto</span> <span class="keyword">const</span>& backendRegistry = <a class="code" href="namespacearmnn.html#ac2807505b850738bc8a1991ce669dd47">BackendRegistryInstance</a>();</div> |
| <div class="line"><a name="l01314"></a><span class="lineno"> 1314</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& selectedBackend : backendSettings.<a class="code" href="structarmnn_1_1_backend_settings.html#a0b160952af61b24d88125d66ed6d43c1">m_SupportedBackends</a>)</div> |
| <div class="line"><a name="l01315"></a><span class="lineno"> 1315</span>  {</div> |
| <div class="line"><a name="l01316"></a><span class="lineno"> 1316</span>  <span class="keyword">auto</span> backendFactory = backendRegistry.GetFactory(selectedBackend);</div> |
| <div class="line"><a name="l01317"></a><span class="lineno"> 1317</span>  <span class="keyword">auto</span> backendObjPtr = backendFactory();</div> |
| <div class="line"><a name="l01318"></a><span class="lineno"> 1318</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(backendObjPtr);</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>  backendObjPtr->RegisterTensorHandleFactories(handleFactoryRegistry);</div> |
| <div class="line"><a name="l01321"></a><span class="lineno"> 1321</span>  </div> |
| <div class="line"><a name="l01322"></a><span class="lineno"> 1322</span>  backends[backendObjPtr->GetId()] = std::move(backendObjPtr);</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>  </div> |
| <div class="line"><a name="l01325"></a><span class="lineno"> 1325</span>  <span class="keywordflow">return</span> backends;</div> |
| <div class="line"><a name="l01326"></a><span class="lineno"> 1326</span> }</div> |
| <div class="line"><a name="l01327"></a><span class="lineno"> 1327</span>  </div> |
| <div class="line"><a name="l01328"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ac39f2b15d34d3e2fc74d586fc3e26231"> 1328</a></span> <a class="code" href="structarmnn_1_1_optimization_result.html">OptimizationResult</a> <a class="code" href="namespacearmnn.html#ac39f2b15d34d3e2fc74d586fc3e26231">ApplyBackendOptimizations</a>(<a class="code" href="classarmnn_1_1_optimized_network_impl.html">OptimizedNetworkImpl</a>* optNetObjPtr,</div> |
| <div class="line"><a name="l01329"></a><span class="lineno"> 1329</span>  <a class="code" href="structarmnn_1_1_backend_settings.html">BackendSettings</a>& backendSettings,</div> |
| <div class="line"><a name="l01330"></a><span class="lineno"> 1330</span>  <a class="code" href="namespacearmnn.html#a9173495a61a0092b5f38b855f02c3585">BackendsMap</a>& backends,</div> |
| <div class="line"><a name="l01331"></a><span class="lineno"> 1331</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a>& modelOptions,</div> |
| <div class="line"><a name="l01332"></a><span class="lineno"> 1332</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional</a><std::vector<std::string>&> errMessages)</div> |
| <div class="line"><a name="l01333"></a><span class="lineno"> 1333</span> {</div> |
| <div class="line"><a name="l01334"></a><span class="lineno"> 1334</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(optNetObjPtr);</div> |
| <div class="line"><a name="l01335"></a><span class="lineno"> 1335</span>  <a class="code" href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"Optimizer_ApplyBackendOptimizations"</span>)</div> |
| <div class="line"><a name="l01336"></a><span class="lineno"> 1336</span>  <a class="code" href="structarmnn_1_1_optimization_result.html">OptimizationResult</a> result;</div> |
| <div class="line"><a name="l01337"></a><span class="lineno"> 1337</span>  </div> |
| <div class="line"><a name="l01338"></a><span class="lineno"> 1338</span>  <span class="comment">// Get the optimized graph</span></div> |
| <div class="line"><a name="l01339"></a><span class="lineno"> 1339</span>  <a class="code" href="classarmnn_1_1_graph.html">Graph</a>& optGraph = optNetObjPtr-><a class="code" href="classarmnn_1_1_optimized_network_impl.html#a49800ad35ea869aa5569519760d3b339">GetGraph</a>();</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>  <span class="comment">// Run backend specific optimizations</span></div> |
| <div class="line"><a name="l01342"></a><span class="lineno"> 1342</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& selectedBackend : backendSettings.<a class="code" href="structarmnn_1_1_backend_settings.html#aa09ac75b83067c5ed455f2bb35c7c98d">m_SelectedBackends</a>)</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>  <span class="keyword">auto</span> backendObjPtr = backends.find(selectedBackend)->second.get();</div> |
| <div class="line"><a name="l01345"></a><span class="lineno"> 1345</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(backendObjPtr);</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>  <span class="keywordflow">if</span> (selectedBackend == <a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::Compute::GpuAcc</a> || selectedBackend == <a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1">armnn::Compute::CpuAcc</a>)</div> |
| <div class="line"><a name="l01348"></a><span class="lineno"> 1348</span>  {</div> |
| <div class="line"><a name="l01349"></a><span class="lineno"> 1349</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="classarmnn_1_1_optimize_for_type.html">optimizations::PermuteDepthwiseConv2dWeights</a>()));</div> |
| <div class="line"><a name="l01350"></a><span class="lineno"> 1350</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="classarmnn_1_1_optimize_for_connection.html">optimizations::FusePermuteIntoConstLayer</a>()));</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>  </div> |
| <div class="line"><a name="l01353"></a><span class="lineno"> 1353</span>  <span class="comment">// Select sub-graphs based on backend</span></div> |
| <div class="line"><a name="l01354"></a><span class="lineno"> 1354</span>  <a class="code" href="classarmnn_1_1_subgraph_view_selector.html#ab9e8c2ce720efe33c8a20b8f74bb9d5f">SubgraphViewSelector::Subgraphs</a> subgraphs =</div> |
| <div class="line"><a name="l01355"></a><span class="lineno"> 1355</span>  <a class="code" href="classarmnn_1_1_subgraph_view_selector.html#a3730b0a6006f0d87f894a44e01869d90">SubgraphViewSelector::SelectSubgraphs</a>(optGraph,</div> |
| <div class="line"><a name="l01356"></a><span class="lineno"> 1356</span>  <span class="comment">// Select layers assigned to the requested backend</span></div> |
| <div class="line"><a name="l01357"></a><span class="lineno"> 1357</span>  [&backendObjPtr](<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& layer)</div> |
| <div class="line"><a name="l01358"></a><span class="lineno"> 1358</span>  {</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> layer.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() != <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a> &&</div> |
| <div class="line"><a name="l01361"></a><span class="lineno"> 1361</span>  layer.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() != <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a> &&</div> |
| <div class="line"><a name="l01362"></a><span class="lineno"> 1362</span>  layer.<a class="code" href="classarmnn_1_1_layer.html#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a>() == backendObjPtr->GetId();</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">if</span> (subgraphs.empty())</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>  <span class="comment">// No sub-graphs found, try with next selected backend</span></div> |
| <div class="line"><a name="l01367"></a><span class="lineno"> 1367</span>  <span class="keywordflow">continue</span>;</div> |
| <div class="line"><a name="l01368"></a><span class="lineno"> 1368</span>  }</div> |
| <div class="line"><a name="l01369"></a><span class="lineno"> 1369</span>  </div> |
| <div class="line"><a name="l01370"></a><span class="lineno"> 1370</span>  <span class="comment">// Try to optimize each sub-graph</span></div> |
| <div class="line"><a name="l01371"></a><span class="lineno"> 1371</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& subgraph : subgraphs)</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>  <span class="comment">// Try to optimize the current sub-graph</span></div> |
| <div class="line"><a name="l01374"></a><span class="lineno"> 1374</span>  <a class="code" href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(backendObjPtr->GetId(), <span class="stringliteral">"Optimizer_OptimizeSubgraph"</span>);</div> |
| <div class="line"><a name="l01375"></a><span class="lineno"> 1375</span>  <a class="code" href="classarmnn_1_1_optimization_views.html">OptimizationViews</a> optimizationViews = backendObjPtr->OptimizeSubgraphView(*subgraph, modelOptions);</div> |
| <div class="line"><a name="l01376"></a><span class="lineno"> 1376</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(optimizationViews.<a class="code" href="classarmnn_1_1_optimization_views.html#a58dc3ea86870112f745b2a1f7dca55e9">Validate</a>(*subgraph));</div> |
| <div class="line"><a name="l01377"></a><span class="lineno"> 1377</span>  </div> |
| <div class="line"><a name="l01378"></a><span class="lineno"> 1378</span>  <span class="comment">// Optimization attempted, check the resulting optimized sub-graph</span></div> |
| <div class="line"><a name="l01379"></a><span class="lineno"> 1379</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& substitution : optimizationViews.<a class="code" href="classarmnn_1_1_optimization_views.html#a9a1555f25af4a0ae2c0a1fc0ed9aded8">GetSubstitutions</a>())</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">// Sub-graph optimized, substitute the sub-graph with the new optimized one in the main optimized graph</span></div> |
| <div class="line"><a name="l01382"></a><span class="lineno"> 1382</span>  <a class="code" href="classarmnn_1_1_subgraph_view.html">SubgraphView</a>& replacementSubgraph = substitution.m_ReplacementSubgraph;</div> |
| <div class="line"><a name="l01383"></a><span class="lineno"> 1383</span>  <a class="code" href="classarmnn_1_1_subgraph_view.html">SubgraphView</a>& substitutableSubgraph = substitution.m_SubstitutableSubgraph;</div> |
| <div class="line"><a name="l01384"></a><span class="lineno"> 1384</span>  optGraph.<a class="code" href="classarmnn_1_1_graph.html#aafbd4b469e47160017f409df8d077184">SubstituteSubgraph</a>(substitutableSubgraph, replacementSubgraph);</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="comment">// Assign the current backend to the optimized sub-graph</span></div> |
| <div class="line"><a name="l01387"></a><span class="lineno"> 1387</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_subgraph_view.html#ad7c7687cd3542e5cbb45e56f9a9456e7">SubgraphView::IConnectableLayers</a>& subgraphLayers = replacementSubgraph.<a class="code" href="classarmnn_1_1_subgraph_view.html#a8055e06b4f21d51fd8b4fc22ead2bdf0">GetIConnectableLayers</a>();</div> |
| <div class="line"><a name="l01388"></a><span class="lineno"> 1388</span>  std::for_each(subgraphLayers.begin(), subgraphLayers.end(), [&selectedBackend](<a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* l)</div> |
| <div class="line"><a name="l01389"></a><span class="lineno"> 1389</span>  {</div> |
| <div class="line"><a name="l01390"></a><span class="lineno"> 1390</span>  ARMNN_ASSERT(l);</div> |
| <div class="line"><a name="l01391"></a><span class="lineno"> 1391</span>  PolymorphicDowncast<Layer*>(l)->SetBackendId(selectedBackend);</div> |
| <div class="line"><a name="l01392"></a><span class="lineno"> 1392</span>  });</div> |
| <div class="line"><a name="l01393"></a><span class="lineno"> 1393</span>  }</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="comment">// Remove deleted sub-graphs</span></div> |
| <div class="line"><a name="l01396"></a><span class="lineno"> 1396</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& deletedSubgraph : optimizationViews.<a class="code" href="classarmnn_1_1_optimization_views.html#aa3792ea74cfe24d25460a6cf8e851f85">GetDeletedSubgraphs</a>())</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="keywordflow">for</span> (<span class="keyword">auto</span>& l : deletedSubgraph.GetIConnectableLayers())</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>  <a class="code" href="classarmnn_1_1_layer.html">Layer</a>* deletedLayer = PolymorphicDowncast<Layer*>(l);</div> |
| <div class="line"><a name="l01401"></a><span class="lineno"> 1401</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> in = deletedLayer-><a class="code" href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>(); in > 0; --in)</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="keyword">auto</span> inputSlot = deletedLayer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(in -1);</div> |
| <div class="line"><a name="l01404"></a><span class="lineno"> 1404</span>  <a class="code" href="classarmnn_1_1_output_slot.html">OutputSlot</a>* parentOut = inputSlot.GetConnectedOutputSlot();</div> |
| <div class="line"><a name="l01405"></a><span class="lineno"> 1405</span>  parentOut-><a class="code" href="classarmnn_1_1_output_slot.html#ac72a192dfcfa19e6ce826f99b415a11d">Disconnect</a>(inputSlot);</div> |
| <div class="line"><a name="l01406"></a><span class="lineno"> 1406</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> out = deletedLayer-><a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(in -1).<a class="code" href="classarmnn_1_1_output_slot.html#a25b0119c02aece1d341b99953d169c0f">GetNumConnections</a>(); out > 0; --out)</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>  <a class="code" href="classarmnn_1_1_input_slot.html">InputSlot</a>* childIn = deletedLayer-><a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(in - 1).<a class="code" href="classarmnn_1_1_output_slot.html#a048e8c1536cf6b8871b093a73a4a3a85">GetConnection</a>(out -1);</div> |
| <div class="line"><a name="l01409"></a><span class="lineno"> 1409</span>  deletedLayer-><a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(in - 1).<a class="code" href="classarmnn_1_1_output_slot.html#ac72a192dfcfa19e6ce826f99b415a11d">Disconnect</a>(*childIn);</div> |
| <div class="line"><a name="l01410"></a><span class="lineno"> 1410</span>  parentOut-><a class="code" href="classarmnn_1_1_output_slot.html#adcfb97035799ea4c043f9ef370714815">Connect</a>(*childIn);</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>  }</div> |
| <div class="line"><a name="l01413"></a><span class="lineno"> 1413</span>  optGraph.<a class="code" href="classarmnn_1_1_graph.html#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(deletedLayer);</div> |
| <div class="line"><a name="l01414"></a><span class="lineno"> 1414</span>  }</div> |
| <div class="line"><a name="l01415"></a><span class="lineno"> 1415</span>  }</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">if</span> (!optimizationViews.<a class="code" href="classarmnn_1_1_optimization_views.html#ad5fee4381bf82ffa37658dddf4d1fa01">GetFailedSubgraphs</a>().empty())</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>  std::stringstream warningMsg;</div> |
| <div class="line"><a name="l01420"></a><span class="lineno"> 1420</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="l01421"></a><span class="lineno"> 1421</span>  <a class="code" href="namespacearmnn.html#a070307e9ee0f7969f7d4320145d1dddb">ReportWarning</a>(warningMsg.str(), errMessages);</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>  <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="l01424"></a><span class="lineno"> 1424</span>  <a class="code" href="structarmnn_1_1_backend_settings.html">BackendSettings</a> settingsCopy(backendSettings);</div> |
| <div class="line"><a name="l01425"></a><span class="lineno"> 1425</span>  <span class="keywordflow">if</span> (!backendObjPtr->GetId().IsCpuRef())</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 the current backend to the list of backends to ignore</span></div> |
| <div class="line"><a name="l01428"></a><span class="lineno"> 1428</span>  settingsCopy.<a class="code" href="structarmnn_1_1_backend_settings.html#a552a322b7e66b580caf4652f262687db">m_IgnoredBackends</a>.insert(backendObjPtr->GetId());</div> |
| <div class="line"><a name="l01429"></a><span class="lineno"> 1429</span>  }</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>  <span class="keywordtype">int</span> count=0;</div> |
| <div class="line"><a name="l01432"></a><span class="lineno"> 1432</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& failedSubgraph : optimizationViews.<a class="code" href="classarmnn_1_1_optimization_views.html#ad5fee4381bf82ffa37658dddf4d1fa01">GetFailedSubgraphs</a>())</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="comment">// An error occurred: the optimization was attempted but not performed, try different backends</span></div> |
| <div class="line"><a name="l01435"></a><span class="lineno"> 1435</span>  std::stringstream subgraphMsg;</div> |
| <div class="line"><a name="l01436"></a><span class="lineno"> 1436</span>  subgraphMsg << <span class="stringliteral">"Re-assigning backends to "</span> << failedSubgraph.GetIConnectableLayers().size()</div> |
| <div class="line"><a name="l01437"></a><span class="lineno"> 1437</span>  << <span class="stringliteral">" layers inside sub-graph "</span> << count++;</div> |
| <div class="line"><a name="l01438"></a><span class="lineno"> 1438</span>  <a class="code" href="namespacearmnn.html#a070307e9ee0f7969f7d4320145d1dddb">ReportWarning</a>(subgraphMsg.str(), errMessages);</div> |
| <div class="line"><a name="l01439"></a><span class="lineno"> 1439</span>  </div> |
| <div class="line"><a name="l01440"></a><span class="lineno"> 1440</span>  <a class="code" href="structarmnn_1_1_optimization_result.html">OptimizationResult</a> reassignmentResult = <a class="code" href="namespacearmnn.html#a839ad76f1f52a70b540805b231f05d9c">AssignBackends</a>(optNetObjPtr,</div> |
| <div class="line"><a name="l01441"></a><span class="lineno"> 1441</span>  settingsCopy,</div> |
| <div class="line"><a name="l01442"></a><span class="lineno"> 1442</span>  *subgraph,</div> |
| <div class="line"><a name="l01443"></a><span class="lineno"> 1443</span>  errMessages);</div> |
| <div class="line"><a name="l01444"></a><span class="lineno"> 1444</span>  <span class="keywordflow">if</span> (reassignmentResult.<a class="code" href="structarmnn_1_1_optimization_result.html#a41a657cfacb52a80a73575c5c730ab88">m_Error</a>)</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>  <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="l01447"></a><span class="lineno"> 1447</span>  result.<a class="code" href="structarmnn_1_1_optimization_result.html#a41a657cfacb52a80a73575c5c730ab88">m_Error</a> = <span class="keyword">true</span>;</div> |
| <div class="line"><a name="l01448"></a><span class="lineno"> 1448</span>  <span class="keywordflow">return</span> result;</div> |
| <div class="line"><a name="l01449"></a><span class="lineno"> 1449</span>  }</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>  }</div> |
| <div class="line"><a name="l01453"></a><span class="lineno"> 1453</span>  }</div> |
| <div class="line"><a name="l01454"></a><span class="lineno"> 1454</span>  </div> |
| <div class="line"><a name="l01455"></a><span class="lineno"> 1455</span>  <span class="keywordflow">return</span> result;</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>  </div> |
| <div class="line"><a name="l01458"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a5ee4a1cca55f69b31e625c786655ed1a"> 1458</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a5ee4a1cca55f69b31e625c786655ed1a">RequiresCopy</a>(<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> src,</div> |
| <div class="line"><a name="l01459"></a><span class="lineno"> 1459</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> dst,</div> |
| <div class="line"><a name="l01460"></a><span class="lineno"> 1460</span>  <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a>& registry)</div> |
| <div class="line"><a name="l01461"></a><span class="lineno"> 1461</span> {</div> |
| <div class="line"><a name="l01462"></a><span class="lineno"> 1462</span>  <span class="keywordflow">if</span> (src != dst)</div> |
| <div class="line"><a name="l01463"></a><span class="lineno"> 1463</span>  {</div> |
| <div class="line"><a name="l01464"></a><span class="lineno"> 1464</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html">ITensorHandleFactory</a>* srcFactory = registry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html#ae5ecc42140a12c855554a4a621fc8456">GetFactory</a>(src);</div> |
| <div class="line"><a name="l01465"></a><span class="lineno"> 1465</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html">ITensorHandleFactory</a>* dstFactory = registry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html#ae5ecc42140a12c855554a4a621fc8456">GetFactory</a>(dst);</div> |
| <div class="line"><a name="l01466"></a><span class="lineno"> 1466</span>  </div> |
| <div class="line"><a name="l01467"></a><span class="lineno"> 1467</span>  <span class="keywordflow">if</span> (srcFactory && dstFactory &&</div> |
| <div class="line"><a name="l01468"></a><span class="lineno"> 1468</span>  (srcFactory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a9892b82652ffac03f1e4e7ad93906078">GetExportFlags</a>() & dstFactory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#ab17a7eb3afac8667ace153b0fe2f82fe">GetImportFlags</a>()) != 0)</div> |
| <div class="line"><a name="l01469"></a><span class="lineno"> 1469</span>  {</div> |
| <div class="line"><a name="l01470"></a><span class="lineno"> 1470</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> |
| <div class="line"><a name="l01471"></a><span class="lineno"> 1471</span>  }</div> |
| <div class="line"><a name="l01472"></a><span class="lineno"> 1472</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</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> <span class="keyword">false</span>;</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="comment">// Find the handle factory for the input layer which results in fewest required copies.</span></div> |
| <div class="line"><a name="l01478"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a5f34318a121e010053655204df94720c"> 1478</a></span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> <a class="code" href="namespacearmnn.html#a5f34318a121e010053655204df94720c">CalculateSlotOptionForInput</a>(<a class="code" href="namespacearmnn.html#a9173495a61a0092b5f38b855f02c3585">BackendsMap</a>& backends,</div> |
| <div class="line"><a name="l01479"></a><span class="lineno"> 1479</span>  <a class="code" href="classarmnn_1_1_output_slot.html">OutputSlot</a>& slot,</div> |
| <div class="line"><a name="l01480"></a><span class="lineno"> 1480</span>  <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a>& registry,</div> |
| <div class="line"><a name="l01481"></a><span class="lineno"> 1481</span>  <span class="keywordtype">bool</span> importEnabled)</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>  <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& layer = slot.<a class="code" href="classarmnn_1_1_output_slot.html#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>();</div> |
| <div class="line"><a name="l01484"></a><span class="lineno"> 1484</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(layer.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>);</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>  <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="l01487"></a><span class="lineno"> 1487</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="l01488"></a><span class="lineno"> 1488</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="l01489"></a><span class="lineno"> 1489</span>  <span class="comment">// select a factory with maximum compatibility with the layers connected to the InputLayer.</span></div> |
| <div class="line"><a name="l01490"></a><span class="lineno"> 1490</span>  </div> |
| <div class="line"><a name="l01491"></a><span class="lineno"> 1491</span>  <span class="comment">// First ensure the from backends can support the TensorHandeAPI</span></div> |
| <div class="line"><a name="l01492"></a><span class="lineno"> 1492</span>  <span class="keyword">auto</span> frmBackend = backends.find(layer.<a class="code" href="classarmnn_1_1_layer.html#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a>());</div> |
| <div class="line"><a name="l01493"></a><span class="lineno"> 1493</span>  <span class="keywordflow">if</span> (frmBackend == backends.end() ||</div> |
| <div class="line"><a name="l01494"></a><span class="lineno"> 1494</span>  !frmBackend->second->SupportsTensorAllocatorAPI())</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>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a9c95f90eb40e31f629e0e2947b8bc6f9">ITensorHandleFactory::LegacyFactoryId</a>;</div> |
| <div class="line"><a name="l01497"></a><span class="lineno"> 1497</span>  }</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">// Go through all connections to the output slot and determine the TensorHandleFactory which results in the</span></div> |
| <div class="line"><a name="l01500"></a><span class="lineno"> 1500</span>  <span class="comment">// fewest copies.</span></div> |
| <div class="line"><a name="l01501"></a><span class="lineno"> 1501</span>  std::map<ITensorHandleFactory::FactoryId, int> factoryScores;</div> |
| <div class="line"><a name="l01502"></a><span class="lineno"> 1502</span>  <span class="keywordtype">int</span> topScore = 0;</div> |
| <div class="line"><a name="l01503"></a><span class="lineno"> 1503</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> topChoice = <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a9c95f90eb40e31f629e0e2947b8bc6f9">ITensorHandleFactory::LegacyFactoryId</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>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& connection : slot.<a class="code" href="classarmnn_1_1_output_slot.html#a50b562d4a4edc64d7d8abcca056f0b8c">GetConnections</a>())</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="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& connectedLayer = connection->GetOwningLayer();</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> toBackend = backends.find(connectedLayer.<a class="code" href="classarmnn_1_1_layer.html#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a>());</div> |
| <div class="line"><a name="l01511"></a><span class="lineno"> 1511</span>  <a class="code" href="_assert_8hpp.html#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="l01512"></a><span class="lineno"> 1512</span>  </div> |
| <div class="line"><a name="l01513"></a><span class="lineno"> 1513</span>  <span class="keywordflow">if</span> (!toBackend->second.get()->SupportsTensorAllocatorAPI())</div> |
| <div class="line"><a name="l01514"></a><span class="lineno"> 1514</span>  {</div> |
| <div class="line"><a name="l01515"></a><span class="lineno"> 1515</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="l01516"></a><span class="lineno"> 1516</span>  <span class="keywordflow">continue</span>;</div> |
| <div class="line"><a name="l01517"></a><span class="lineno"> 1517</span>  }</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="keyword">auto</span> dstPrefs = toBackend->second.get()->GetHandleFactoryPreferences();</div> |
| <div class="line"><a name="l01520"></a><span class="lineno"> 1520</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& dst : dstPrefs)</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="comment">// Input layers use the mem copy workload or import, so the selected factory must</span></div> |
| <div class="line"><a name="l01523"></a><span class="lineno"> 1523</span>  <span class="comment">// support either the map/unmap API or Import API</span></div> |
| <div class="line"><a name="l01524"></a><span class="lineno"> 1524</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html">ITensorHandleFactory</a>* factory = registry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html#ae5ecc42140a12c855554a4a621fc8456">GetFactory</a>(dst);</div> |
| <div class="line"><a name="l01525"></a><span class="lineno"> 1525</span>  <span class="keywordflow">if</span> (importEnabled && factory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#ab17a7eb3afac8667ace153b0fe2f82fe">GetImportFlags</a>() == 0)</div> |
| <div class="line"><a name="l01526"></a><span class="lineno"> 1526</span>  {</div> |
| <div class="line"><a name="l01527"></a><span class="lineno"> 1527</span>  <span class="keywordflow">continue</span>;</div> |
| <div class="line"><a name="l01528"></a><span class="lineno"> 1528</span>  }</div> |
| <div class="line"><a name="l01529"></a><span class="lineno"> 1529</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (!importEnabled && !factory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#aef5b0db52e05e12463d094e509fc8b56">SupportsMapUnmap</a>())</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>  <span class="keywordflow">continue</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>  </div> |
| <div class="line"><a name="l01534"></a><span class="lineno"> 1534</span>  <span class="keyword">auto</span> it = factoryScores.find(dst);</div> |
| <div class="line"><a name="l01535"></a><span class="lineno"> 1535</span>  <span class="keywordflow">if</span> (it == factoryScores.end())</div> |
| <div class="line"><a name="l01536"></a><span class="lineno"> 1536</span>  {</div> |
| <div class="line"><a name="l01537"></a><span class="lineno"> 1537</span>  <span class="comment">// Add new score to the table</span></div> |
| <div class="line"><a name="l01538"></a><span class="lineno"> 1538</span>  factoryScores[dst] = 0;</div> |
| <div class="line"><a name="l01539"></a><span class="lineno"> 1539</span>  <span class="keywordflow">if</span> (topChoice == <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a9c95f90eb40e31f629e0e2947b8bc6f9">ITensorHandleFactory::LegacyFactoryId</a>)</div> |
| <div class="line"><a name="l01540"></a><span class="lineno"> 1540</span>  {</div> |
| <div class="line"><a name="l01541"></a><span class="lineno"> 1541</span>  topChoice = dst;</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>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l01545"></a><span class="lineno"> 1545</span>  {</div> |
| <div class="line"><a name="l01546"></a><span class="lineno"> 1546</span>  <span class="comment">// Increase the score</span></div> |
| <div class="line"><a name="l01547"></a><span class="lineno"> 1547</span>  factoryScores[dst]++;</div> |
| <div class="line"><a name="l01548"></a><span class="lineno"> 1548</span>  </div> |
| <div class="line"><a name="l01549"></a><span class="lineno"> 1549</span>  <span class="comment">// Track the best option</span></div> |
| <div class="line"><a name="l01550"></a><span class="lineno"> 1550</span>  <span class="keywordflow">if</span> (factoryScores[dst] > topScore)</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>  topScore = factoryScores[dst];</div> |
| <div class="line"><a name="l01553"></a><span class="lineno"> 1553</span>  topChoice = dst;</div> |
| <div class="line"><a name="l01554"></a><span class="lineno"> 1554</span>  }</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>  }</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>  </div> |
| <div class="line"><a name="l01559"></a><span class="lineno"> 1559</span>  <span class="keywordflow">return</span> topChoice;</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>  </div> |
| <div class="line"><a name="l01562"></a><span class="lineno"> 1562</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="l01563"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ab46c7f5f4736d550ab0e5e05a0fff4a9"> 1563</a></span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> <a class="code" href="namespacearmnn.html#ab46c7f5f4736d550ab0e5e05a0fff4a9">CalculateSlotOptionForOutput</a>(<a class="code" href="namespacearmnn.html#a9173495a61a0092b5f38b855f02c3585">BackendsMap</a>& backends,</div> |
| <div class="line"><a name="l01564"></a><span class="lineno"> 1564</span>  <a class="code" href="classarmnn_1_1_output_slot.html">OutputSlot</a>& slot,</div> |
| <div class="line"><a name="l01565"></a><span class="lineno"> 1565</span>  <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a>& registry)</div> |
| <div class="line"><a name="l01566"></a><span class="lineno"> 1566</span> {</div> |
| <div class="line"><a name="l01567"></a><span class="lineno"> 1567</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(backends, slot, registry);</div> |
| <div class="line"><a name="l01568"></a><span class="lineno"> 1568</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#ac043d9a6e3f861fc6aa057ff95e56f18">ITensorHandleFactory::DeferredFactoryId</a>;</div> |
| <div class="line"><a name="l01569"></a><span class="lineno"> 1569</span> }</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="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="l01572"></a><span class="lineno"> 1572</span> <span class="comment">// when considering all connections.</span></div> |
| <div class="line"><a name="l01573"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ad52508167694d6d259525b3eec1a4267"> 1573</a></span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> <a class="code" href="namespacearmnn.html#ad52508167694d6d259525b3eec1a4267">CalculateSlotOption</a>(<a class="code" href="namespacearmnn.html#a9173495a61a0092b5f38b855f02c3585">BackendsMap</a>& backends,</div> |
| <div class="line"><a name="l01574"></a><span class="lineno"> 1574</span>  <a class="code" href="classarmnn_1_1_output_slot.html">OutputSlot</a>& outputSlot,</div> |
| <div class="line"><a name="l01575"></a><span class="lineno"> 1575</span>  <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a>& registry,</div> |
| <div class="line"><a name="l01576"></a><span class="lineno"> 1576</span>  <span class="keywordtype">bool</span> exportEnabled)</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>  <span class="comment">// First ensure the from backends can support the TensorHandeAPI</span></div> |
| <div class="line"><a name="l01579"></a><span class="lineno"> 1579</span>  <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& layer = outputSlot.<a class="code" href="classarmnn_1_1_output_slot.html#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>();</div> |
| <div class="line"><a name="l01580"></a><span class="lineno"> 1580</span>  <span class="keyword">auto</span> frmBackend = backends.find(layer.<a class="code" href="classarmnn_1_1_layer.html#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a>());</div> |
| <div class="line"><a name="l01581"></a><span class="lineno"> 1581</span>  <span class="keywordflow">if</span> (frmBackend == backends.end() ||</div> |
| <div class="line"><a name="l01582"></a><span class="lineno"> 1582</span>  !frmBackend->second->SupportsTensorAllocatorAPI())</div> |
| <div class="line"><a name="l01583"></a><span class="lineno"> 1583</span>  {</div> |
| <div class="line"><a name="l01584"></a><span class="lineno"> 1584</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a9c95f90eb40e31f629e0e2947b8bc6f9">ITensorHandleFactory::LegacyFactoryId</a>;</div> |
| <div class="line"><a name="l01585"></a><span class="lineno"> 1585</span>  }</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>  <span class="keywordtype">bool</span> outputConnection = <span class="keyword">false</span>;</div> |
| <div class="line"><a name="l01588"></a><span class="lineno"> 1588</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& connection : outputSlot.<a class="code" href="classarmnn_1_1_output_slot.html#a50b562d4a4edc64d7d8abcca056f0b8c">GetConnections</a>())</div> |
| <div class="line"><a name="l01589"></a><span class="lineno"> 1589</span>  {</div> |
| <div class="line"><a name="l01590"></a><span class="lineno"> 1590</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& connectedLayer = connection->GetOwningLayer();</div> |
| <div class="line"><a name="l01591"></a><span class="lineno"> 1591</span>  <span class="keywordflow">if</span> (connectedLayer.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a>)</div> |
| <div class="line"><a name="l01592"></a><span class="lineno"> 1592</span>  {</div> |
| <div class="line"><a name="l01593"></a><span class="lineno"> 1593</span>  outputConnection = <span class="keyword">true</span>;</div> |
| <div class="line"><a name="l01594"></a><span class="lineno"> 1594</span>  }</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>  <a class="code" href="classarmnn_1_1_i_backend_internal.html">IBackendInternal</a>* srcBackend = frmBackend->second.get();</div> |
| <div class="line"><a name="l01598"></a><span class="lineno"> 1598</span>  <span class="keyword">auto</span> srcPrefs = srcBackend-><a class="code" href="classarmnn_1_1_i_backend_internal.html#ac5d107c5672f446603b6e6b92bce6244">GetHandleFactoryPreferences</a>();</div> |
| <div class="line"><a name="l01599"></a><span class="lineno"> 1599</span>  </div> |
| <div class="line"><a name="l01600"></a><span class="lineno"> 1600</span>  <span class="comment">// Initialize the scores</span></div> |
| <div class="line"><a name="l01601"></a><span class="lineno"> 1601</span>  std::map<ITensorHandleFactory::FactoryId, int> factoryScores;</div> |
| <div class="line"><a name="l01602"></a><span class="lineno"> 1602</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& pref : srcPrefs)</div> |
| <div class="line"><a name="l01603"></a><span class="lineno"> 1603</span>  {</div> |
| <div class="line"><a name="l01604"></a><span class="lineno"> 1604</span>  <span class="keywordflow">if</span> (exportEnabled)</div> |
| <div class="line"><a name="l01605"></a><span class="lineno"> 1605</span>  {</div> |
| <div class="line"><a name="l01606"></a><span class="lineno"> 1606</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html">ITensorHandleFactory</a>* factory = registry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html#ae5ecc42140a12c855554a4a621fc8456">GetFactory</a>(pref);</div> |
| <div class="line"><a name="l01607"></a><span class="lineno"> 1607</span>  <span class="keywordflow">if</span> (outputConnection)</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>  <span class="comment">// Check if this is fallback case</span></div> |
| <div class="line"><a name="l01610"></a><span class="lineno"> 1610</span>  <span class="keywordtype">bool</span> fallbackConnection = <span class="keyword">false</span>;</div> |
| <div class="line"><a name="l01611"></a><span class="lineno"> 1611</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& inputSlot : layer.<a class="code" href="classarmnn_1_1_layer.html#af5f530544d09a44d726f24702b67b35b">GetInputSlots</a>())</div> |
| <div class="line"><a name="l01612"></a><span class="lineno"> 1612</span>  {</div> |
| <div class="line"><a name="l01613"></a><span class="lineno"> 1613</span>  <span class="keywordflow">if</span> (inputSlot.GetConnectedOutputSlot()->GetOwningLayer().GetBackendId() != layer.<a class="code" href="classarmnn_1_1_layer.html#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a>())</div> |
| <div class="line"><a name="l01614"></a><span class="lineno"> 1614</span>  {</div> |
| <div class="line"><a name="l01615"></a><span class="lineno"> 1615</span>  fallbackConnection = <span class="keyword">true</span>;</div> |
| <div class="line"><a name="l01616"></a><span class="lineno"> 1616</span>  }</div> |
| <div class="line"><a name="l01617"></a><span class="lineno"> 1617</span>  }</div> |
| <div class="line"><a name="l01618"></a><span class="lineno"> 1618</span>  <span class="keywordflow">if</span> (fallbackConnection)</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> factoryCap = factory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a73fbbe9df988c8cabddea04a8dcb9323">GetCapabilities</a>(&layer, &layer, <a class="code" href="namespacearmnn.html#a10c50bc964cc8cc559eebcd7df5a8af3a5a3e0409dae79a7940aade8d399dcd5d">CapabilityClass::FallbackImportDisabled</a>);</div> |
| <div class="line"><a name="l01621"></a><span class="lineno"> 1621</span>  <span class="comment">// Cannot use factory import if fallback import is not supported.</span></div> |
| <div class="line"><a name="l01622"></a><span class="lineno"> 1622</span>  <span class="keywordflow">if</span> (!factoryCap.empty())</div> |
| <div class="line"><a name="l01623"></a><span class="lineno"> 1623</span>  {</div> |
| <div class="line"><a name="l01624"></a><span class="lineno"> 1624</span>  <span class="keywordflow">continue</span>;</div> |
| <div class="line"><a name="l01625"></a><span class="lineno"> 1625</span>  }</div> |
| <div class="line"><a name="l01626"></a><span class="lineno"> 1626</span>  }</div> |
| <div class="line"><a name="l01627"></a><span class="lineno"> 1627</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (factory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a9892b82652ffac03f1e4e7ad93906078">GetExportFlags</a>() == 0)</div> |
| <div class="line"><a name="l01628"></a><span class="lineno"> 1628</span>  {</div> |
| <div class="line"><a name="l01629"></a><span class="lineno"> 1629</span>  <span class="keywordflow">continue</span>;</div> |
| <div class="line"><a name="l01630"></a><span class="lineno"> 1630</span>  }</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">if</span> (!outputConnection)</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="keyword">auto</span> factoryCap = factory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a73fbbe9df988c8cabddea04a8dcb9323">GetCapabilities</a>(&layer, &layer, <a class="code" href="namespacearmnn.html#a10c50bc964cc8cc559eebcd7df5a8af3a5a3e0409dae79a7940aade8d399dcd5d">CapabilityClass::FallbackImportDisabled</a>);</div> |
| <div class="line"><a name="l01635"></a><span class="lineno"> 1635</span>  <span class="comment">// Cannot use factory import if fallback import is not supported.</span></div> |
| <div class="line"><a name="l01636"></a><span class="lineno"> 1636</span>  <span class="keywordflow">if</span> (!factoryCap.empty())</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="keywordflow">continue</span>;</div> |
| <div class="line"><a name="l01639"></a><span class="lineno"> 1639</span>  }</div> |
| <div class="line"><a name="l01640"></a><span class="lineno"> 1640</span>  }</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>  }</div> |
| <div class="line"><a name="l01643"></a><span class="lineno"> 1643</span>  <span class="keywordflow">else</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">// Only consider factories that support map/unmap</span></div> |
| <div class="line"><a name="l01646"></a><span class="lineno"> 1646</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html">ITensorHandleFactory</a>* factory = registry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html#ae5ecc42140a12c855554a4a621fc8456">GetFactory</a>(pref);</div> |
| <div class="line"><a name="l01647"></a><span class="lineno"> 1647</span>  <span class="keywordflow">if</span> (!factory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#aef5b0db52e05e12463d094e509fc8b56">SupportsMapUnmap</a>())</div> |
| <div class="line"><a name="l01648"></a><span class="lineno"> 1648</span>  {</div> |
| <div class="line"><a name="l01649"></a><span class="lineno"> 1649</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="l01650"></a><span class="lineno"> 1650</span>  <span class="keywordflow">continue</span>;</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>  </div> |
| <div class="line"><a name="l01655"></a><span class="lineno"> 1655</span>  <span class="keyword">auto</span> it = factoryScores.find(pref);</div> |
| <div class="line"><a name="l01656"></a><span class="lineno"> 1656</span>  <span class="keywordflow">if</span> (it == factoryScores.end())</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="comment">// Add new score to the table</span></div> |
| <div class="line"><a name="l01659"></a><span class="lineno"> 1659</span>  factoryScores[pref] = 0;</div> |
| <div class="line"><a name="l01660"></a><span class="lineno"> 1660</span>  }</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>  </div> |
| <div class="line"><a name="l01663"></a><span class="lineno"> 1663</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="l01664"></a><span class="lineno"> 1664</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& connection : outputSlot.<a class="code" href="classarmnn_1_1_output_slot.html#a50b562d4a4edc64d7d8abcca056f0b8c">GetConnections</a>())</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="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& connectedLayer = connection->GetOwningLayer();</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> toBackend = backends.find(connectedLayer.<a class="code" href="classarmnn_1_1_layer.html#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a>());</div> |
| <div class="line"><a name="l01669"></a><span class="lineno"> 1669</span>  <a class="code" href="_assert_8hpp.html#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="l01670"></a><span class="lineno"> 1670</span>  </div> |
| <div class="line"><a name="l01671"></a><span class="lineno"> 1671</span>  <span class="keyword">auto</span> dstPrefs = toBackend->second.get()->GetHandleFactoryPreferences();</div> |
| <div class="line"><a name="l01672"></a><span class="lineno"> 1672</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& src : srcPrefs)</div> |
| <div class="line"><a name="l01673"></a><span class="lineno"> 1673</span>  {</div> |
| <div class="line"><a name="l01674"></a><span class="lineno"> 1674</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="l01675"></a><span class="lineno"> 1675</span>  {</div> |
| <div class="line"><a name="l01676"></a><span class="lineno"> 1676</span>  <span class="keywordflow">continue</span>;</div> |
| <div class="line"><a name="l01677"></a><span class="lineno"> 1677</span>  }</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">for</span> (<span class="keyword">auto</span>&& dst : dstPrefs)</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>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.html#a5ee4a1cca55f69b31e625c786655ed1a">RequiresCopy</a>(src, dst, registry))</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>  <span class="comment">// Copy avoided, increase the score</span></div> |
| <div class="line"><a name="l01684"></a><span class="lineno"> 1684</span>  factoryScores[src]++;</div> |
| <div class="line"><a name="l01685"></a><span class="lineno"> 1685</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l01686"></a><span class="lineno"> 1686</span>  }</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>  }</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>  </div> |
| <div class="line"><a name="l01691"></a><span class="lineno"> 1691</span>  <span class="comment">// Find the lowest score</span></div> |
| <div class="line"><a name="l01692"></a><span class="lineno"> 1692</span>  <span class="keywordtype">int</span> minScore = std::numeric_limits<int>::max();</div> |
| <div class="line"><a name="l01693"></a><span class="lineno"> 1693</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> it : factoryScores)</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>  minScore = std::min(minScore, it.second);</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="comment">// Collect factories matching the best(lowest) score</span></div> |
| <div class="line"><a name="l01699"></a><span class="lineno"> 1699</span>  std::vector<ITensorHandleFactory::FactoryId> optimalFactories;</div> |
| <div class="line"><a name="l01700"></a><span class="lineno"> 1700</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> it : factoryScores)</div> |
| <div class="line"><a name="l01701"></a><span class="lineno"> 1701</span>  {</div> |
| <div class="line"><a name="l01702"></a><span class="lineno"> 1702</span>  <span class="keywordflow">if</span> (it.second == minScore)</div> |
| <div class="line"><a name="l01703"></a><span class="lineno"> 1703</span>  {</div> |
| <div class="line"><a name="l01704"></a><span class="lineno"> 1704</span>  optimalFactories.push_back(it.first);</div> |
| <div class="line"><a name="l01705"></a><span class="lineno"> 1705</span>  }</div> |
| <div class="line"><a name="l01706"></a><span class="lineno"> 1706</span>  }</div> |
| <div class="line"><a name="l01707"></a><span class="lineno"> 1707</span>  </div> |
| <div class="line"><a name="l01708"></a><span class="lineno"> 1708</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="l01709"></a><span class="lineno"> 1709</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& srcPref : srcPrefs)</div> |
| <div class="line"><a name="l01710"></a><span class="lineno"> 1710</span>  {</div> |
| <div class="line"><a name="l01711"></a><span class="lineno"> 1711</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& comp : optimalFactories)</div> |
| <div class="line"><a name="l01712"></a><span class="lineno"> 1712</span>  {</div> |
| <div class="line"><a name="l01713"></a><span class="lineno"> 1713</span>  <span class="keywordflow">if</span> (comp == srcPref)</div> |
| <div class="line"><a name="l01714"></a><span class="lineno"> 1714</span>  {</div> |
| <div class="line"><a name="l01715"></a><span class="lineno"> 1715</span>  <span class="keywordflow">return</span> comp;</div> |
| <div class="line"><a name="l01716"></a><span class="lineno"> 1716</span>  }</div> |
| <div class="line"><a name="l01717"></a><span class="lineno"> 1717</span>  }</div> |
| <div class="line"><a name="l01718"></a><span class="lineno"> 1718</span>  }</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="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a9c95f90eb40e31f629e0e2947b8bc6f9">ITensorHandleFactory::LegacyFactoryId</a>;</div> |
| <div class="line"><a name="l01721"></a><span class="lineno"> 1721</span> }</div> |
| <div class="line"><a name="l01722"></a><span class="lineno"> 1722</span>  </div> |
| <div class="line"><a name="l01723"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a738d3243c1dc564304d78908c6112e4f"> 1723</a></span> <a class="code" href="namespacearmnn.html#aff209afc1dc598da399e3e78617ce016">EdgeStrategy</a> <a class="code" href="namespacearmnn.html#a738d3243c1dc564304d78908c6112e4f">CalculateEdgeStrategy</a>(<a class="code" href="namespacearmnn.html#a9173495a61a0092b5f38b855f02c3585">BackendsMap</a>& backends,</div> |
| <div class="line"><a name="l01724"></a><span class="lineno"> 1724</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> srcFactoryId,</div> |
| <div class="line"><a name="l01725"></a><span class="lineno"> 1725</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& layer,</div> |
| <div class="line"><a name="l01726"></a><span class="lineno"> 1726</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& connectedLayer,</div> |
| <div class="line"><a name="l01727"></a><span class="lineno"> 1727</span>  <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a>& registry,</div> |
| <div class="line"><a name="l01728"></a><span class="lineno"> 1728</span>  <span class="keywordtype">bool</span> importEnabled)</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="keyword">auto</span> toBackend = backends.find(connectedLayer.<a class="code" href="classarmnn_1_1_layer.html#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a>());</div> |
| <div class="line"><a name="l01731"></a><span class="lineno"> 1731</span>  <a class="code" href="_assert_8hpp.html#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="l01732"></a><span class="lineno"> 1732</span>  </div> |
| <div class="line"><a name="l01733"></a><span class="lineno"> 1733</span>  <span class="keyword">auto</span> dstPrefs = toBackend->second.get()->GetHandleFactoryPreferences();</div> |
| <div class="line"><a name="l01734"></a><span class="lineno"> 1734</span>  </div> |
| <div class="line"><a name="l01735"></a><span class="lineno"> 1735</span>  <span class="comment">// Legacy API check for backward compatibility</span></div> |
| <div class="line"><a name="l01736"></a><span class="lineno"> 1736</span>  <span class="keywordflow">if</span> (srcFactoryId == <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a9c95f90eb40e31f629e0e2947b8bc6f9">ITensorHandleFactory::LegacyFactoryId</a> || dstPrefs.empty())</div> |
| <div class="line"><a name="l01737"></a><span class="lineno"> 1737</span>  {</div> |
| <div class="line"><a name="l01738"></a><span class="lineno"> 1738</span>  <span class="keywordflow">if</span> (layer.<a class="code" href="classarmnn_1_1_layer.html#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a>() != connectedLayer.<a class="code" href="classarmnn_1_1_layer.html#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a>())</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>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#aff209afc1dc598da399e3e78617ce016ac366da48cc11956ae377a77751936852">EdgeStrategy::CopyToTarget</a>;</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="keywordflow">else</span></div> |
| <div class="line"><a name="l01743"></a><span class="lineno"> 1743</span>  {</div> |
| <div class="line"><a name="l01744"></a><span class="lineno"> 1744</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#aff209afc1dc598da399e3e78617ce016a78d1be0baa31e083ae8da99aaedaf650">EdgeStrategy::DirectCompatibility</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>  }</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>  <span class="comment">// TensorHandleFactory API present, so perform more sophisticated strategies.</span></div> |
| <div class="line"><a name="l01749"></a><span class="lineno"> 1749</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="l01750"></a><span class="lineno"> 1750</span>  <span class="keywordflow">if</span> (connectedLayer.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a>)</div> |
| <div class="line"><a name="l01751"></a><span class="lineno"> 1751</span>  {</div> |
| <div class="line"><a name="l01752"></a><span class="lineno"> 1752</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#aff209afc1dc598da399e3e78617ce016a78d1be0baa31e083ae8da99aaedaf650">EdgeStrategy::DirectCompatibility</a>;</div> |
| <div class="line"><a name="l01753"></a><span class="lineno"> 1753</span>  }</div> |
| <div class="line"><a name="l01754"></a><span class="lineno"> 1754</span>  </div> |
| <div class="line"><a name="l01755"></a><span class="lineno"> 1755</span>  <span class="comment">// Search for direct match in prefs</span></div> |
| <div class="line"><a name="l01756"></a><span class="lineno"> 1756</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& pref : dstPrefs)</div> |
| <div class="line"><a name="l01757"></a><span class="lineno"> 1757</span>  {</div> |
| <div class="line"><a name="l01758"></a><span class="lineno"> 1758</span>  <span class="keywordflow">if</span> (pref == srcFactoryId)</div> |
| <div class="line"><a name="l01759"></a><span class="lineno"> 1759</span>  {</div> |
| <div class="line"><a name="l01760"></a><span class="lineno"> 1760</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#aff209afc1dc598da399e3e78617ce016a78d1be0baa31e083ae8da99aaedaf650">EdgeStrategy::DirectCompatibility</a>;</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>  }</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>  <span class="comment">// Search for export/import options</span></div> |
| <div class="line"><a name="l01765"></a><span class="lineno"> 1765</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html">ITensorHandleFactory</a>* srcFactory = registry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html#ae5ecc42140a12c855554a4a621fc8456">GetFactory</a>(srcFactoryId);</div> |
| <div class="line"><a name="l01766"></a><span class="lineno"> 1766</span>  <span class="keywordflow">if</span> (srcFactory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a9892b82652ffac03f1e4e7ad93906078">GetExportFlags</a>() != 0 && importEnabled)</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>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& pref : dstPrefs)</div> |
| <div class="line"><a name="l01769"></a><span class="lineno"> 1769</span>  {</div> |
| <div class="line"><a name="l01770"></a><span class="lineno"> 1770</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html">ITensorHandleFactory</a>* dstFactory = registry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html#ae5ecc42140a12c855554a4a621fc8456">GetFactory</a>(pref);</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">// Handles cases when a destPref is not listed in TensorHandleFactoryRegistry</span></div> |
| <div class="line"><a name="l01773"></a><span class="lineno"> 1773</span>  <span class="keywordflow">if</span> (!dstFactory) {</div> |
| <div class="line"><a name="l01774"></a><span class="lineno"> 1774</span>  <span class="keywordflow">continue</span>;</div> |
| <div class="line"><a name="l01775"></a><span class="lineno"> 1775</span>  }</div> |
| <div class="line"><a name="l01776"></a><span class="lineno"> 1776</span>  <span class="keywordflow">if</span> ((dstFactory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#ab17a7eb3afac8667ace153b0fe2f82fe">GetImportFlags</a>() & srcFactory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a9892b82652ffac03f1e4e7ad93906078">GetExportFlags</a>()) != 0)</div> |
| <div class="line"><a name="l01777"></a><span class="lineno"> 1777</span>  {</div> |
| <div class="line"><a name="l01778"></a><span class="lineno"> 1778</span>  <span class="keyword">auto</span> srcCapability = srcFactory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a73fbbe9df988c8cabddea04a8dcb9323">GetCapabilities</a>(&layer, &layer, <a class="code" href="namespacearmnn.html#a10c50bc964cc8cc559eebcd7df5a8af3aa47abd1077ef632a38ada05b6edbf389">CapabilityClass::PaddingRequired</a>);</div> |
| <div class="line"><a name="l01779"></a><span class="lineno"> 1779</span>  <span class="keyword">auto</span> dstCapability = dstFactory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a73fbbe9df988c8cabddea04a8dcb9323">GetCapabilities</a>(&connectedLayer,</div> |
| <div class="line"><a name="l01780"></a><span class="lineno"> 1780</span>  &connectedLayer,</div> |
| <div class="line"><a name="l01781"></a><span class="lineno"> 1781</span>  <a class="code" href="namespacearmnn.html#a10c50bc964cc8cc559eebcd7df5a8af3aa47abd1077ef632a38ada05b6edbf389">CapabilityClass::PaddingRequired</a>);</div> |
| <div class="line"><a name="l01782"></a><span class="lineno"> 1782</span>  <span class="keyword">auto</span> srcFallback = srcFactory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a73fbbe9df988c8cabddea04a8dcb9323">GetCapabilities</a>(&layer, &layer, <a class="code" href="namespacearmnn.html#a10c50bc964cc8cc559eebcd7df5a8af3a5a3e0409dae79a7940aade8d399dcd5d">CapabilityClass::FallbackImportDisabled</a>);</div> |
| <div class="line"><a name="l01783"></a><span class="lineno"> 1783</span>  <span class="keyword">auto</span> dstFallback = dstFactory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a73fbbe9df988c8cabddea04a8dcb9323">GetCapabilities</a>(&connectedLayer,</div> |
| <div class="line"><a name="l01784"></a><span class="lineno"> 1784</span>  &connectedLayer,</div> |
| <div class="line"><a name="l01785"></a><span class="lineno"> 1785</span>  <a class="code" href="namespacearmnn.html#a10c50bc964cc8cc559eebcd7df5a8af3a5a3e0409dae79a7940aade8d399dcd5d">CapabilityClass::FallbackImportDisabled</a>);</div> |
| <div class="line"><a name="l01786"></a><span class="lineno"> 1786</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="l01787"></a><span class="lineno"> 1787</span>  <span class="keywordflow">if</span> (srcCapability.empty() && dstCapability.empty() && srcFallback.empty() && dstFallback.empty())</div> |
| <div class="line"><a name="l01788"></a><span class="lineno"> 1788</span>  {</div> |
| <div class="line"><a name="l01789"></a><span class="lineno"> 1789</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#aff209afc1dc598da399e3e78617ce016a46e8b7bfd6fd3c0cb34a100478a39189">EdgeStrategy::ExportToTarget</a>;</div> |
| <div class="line"><a name="l01790"></a><span class="lineno"> 1790</span>  }</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>  }</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>  </div> |
| <div class="line"><a name="l01795"></a><span class="lineno"> 1795</span>  <span class="comment">// Search for copy options via map/unmap</span></div> |
| <div class="line"><a name="l01796"></a><span class="lineno"> 1796</span>  <span class="keywordflow">if</span> (srcFactory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#aef5b0db52e05e12463d094e509fc8b56">SupportsMapUnmap</a>())</div> |
| <div class="line"><a name="l01797"></a><span class="lineno"> 1797</span>  {</div> |
| <div class="line"><a name="l01798"></a><span class="lineno"> 1798</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& pref : dstPrefs)</div> |
| <div class="line"><a name="l01799"></a><span class="lineno"> 1799</span>  {</div> |
| <div class="line"><a name="l01800"></a><span class="lineno"> 1800</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html">ITensorHandleFactory</a>* dstFactory = registry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html#ae5ecc42140a12c855554a4a621fc8456">GetFactory</a>(pref);</div> |
| <div class="line"><a name="l01801"></a><span class="lineno"> 1801</span>  <span class="keywordflow">if</span> (dstFactory && dstFactory-><a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#aef5b0db52e05e12463d094e509fc8b56">SupportsMapUnmap</a>())</div> |
| <div class="line"><a name="l01802"></a><span class="lineno"> 1802</span>  {</div> |
| <div class="line"><a name="l01803"></a><span class="lineno"> 1803</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#aff209afc1dc598da399e3e78617ce016ac366da48cc11956ae377a77751936852">EdgeStrategy::CopyToTarget</a>;</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>  }</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>  </div> |
| <div class="line"><a name="l01808"></a><span class="lineno"> 1808</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#aff209afc1dc598da399e3e78617ce016aec0fc0100c4fc1ce4eea230c3dc10360">EdgeStrategy::Undefined</a>;</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="comment">// Select the TensorHandleFactories and the corresponding memory strategy</span></div> |
| <div class="line"><a name="l01812"></a><span class="lineno"><a class="line" href="namespacearmnn.html#acbf7c9a630f03ece800f807d946239ab"> 1812</a></span> <a class="code" href="structarmnn_1_1_optimization_result.html">OptimizationResult</a> <a class="code" href="namespacearmnn.html#acbf7c9a630f03ece800f807d946239ab">SelectTensorHandleStrategy</a>(<a class="code" href="classarmnn_1_1_graph.html">Graph</a>& optGraph,</div> |
| <div class="line"><a name="l01813"></a><span class="lineno"> 1813</span>  <a class="code" href="namespacearmnn.html#a9173495a61a0092b5f38b855f02c3585">BackendsMap</a>& backends,</div> |
| <div class="line"><a name="l01814"></a><span class="lineno"> 1814</span>  <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a>& registry,</div> |
| <div class="line"><a name="l01815"></a><span class="lineno"> 1815</span>  <span class="keywordtype">bool</span> importEnabled,</div> |
| <div class="line"><a name="l01816"></a><span class="lineno"> 1816</span>  <span class="keywordtype">bool</span> exportEnabled,</div> |
| <div class="line"><a name="l01817"></a><span class="lineno"> 1817</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional</a><std::vector<std::string>&> errMessages)</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>  <a class="code" href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"Optimizer_SelectTensorHandleStrategy"</span>);</div> |
| <div class="line"><a name="l01820"></a><span class="lineno"> 1820</span>  <a class="code" href="structarmnn_1_1_optimization_result.html">OptimizationResult</a> result;</div> |
| <div class="line"><a name="l01821"></a><span class="lineno"> 1821</span>  </div> |
| <div class="line"><a name="l01822"></a><span class="lineno"> 1822</span>  optGraph.<a class="code" href="classarmnn_1_1_graph.html#ad6521013ad981519904822f2ada2c4ec">ForEachLayer</a>([&backends, &registry, &result, &errMessages, importEnabled, exportEnabled](<a class="code" href="classarmnn_1_1_layer.html">Layer</a>* layer)</div> |
| <div class="line"><a name="l01823"></a><span class="lineno"> 1823</span>  {</div> |
| <div class="line"><a name="l01824"></a><span class="lineno"> 1824</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(layer);</div> |
| <div class="line"><a name="l01825"></a><span class="lineno"> 1825</span>  </div> |
| <div class="line"><a name="l01826"></a><span class="lineno"> 1826</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="l01827"></a><span class="lineno"> 1827</span>  <span class="comment">// assignment if this check fails</span></div> |
| <div class="line"><a name="l01828"></a><span class="lineno"> 1828</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(backends.find(layer-><a class="code" href="classarmnn_1_1_layer.html#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a>()) != backends.end());</div> |
| <div class="line"><a name="l01829"></a><span class="lineno"> 1829</span>  </div> |
| <div class="line"><a name="l01830"></a><span class="lineno"> 1830</span>  <span class="comment">// Check each output separately</span></div> |
| <div class="line"><a name="l01831"></a><span class="lineno"> 1831</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.html#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>(); slotIdx++)</div> |
| <div class="line"><a name="l01832"></a><span class="lineno"> 1832</span>  {</div> |
| <div class="line"><a name="l01833"></a><span class="lineno"> 1833</span>  <a class="code" href="classarmnn_1_1_output_slot.html">OutputSlot</a>& outputSlot = layer-><a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(slotIdx);</div> |
| <div class="line"><a name="l01834"></a><span class="lineno"> 1834</span>  </div> |
| <div class="line"><a name="l01835"></a><span class="lineno"> 1835</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> slotOption = <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a9c95f90eb40e31f629e0e2947b8bc6f9">ITensorHandleFactory::LegacyFactoryId</a>;</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="comment">// Calculate the factory to use which results in the fewest copies being made.</span></div> |
| <div class="line"><a name="l01838"></a><span class="lineno"> 1838</span>  <span class="keywordflow">switch</span>(layer-><a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>())</div> |
| <div class="line"><a name="l01839"></a><span class="lineno"> 1839</span>  {</div> |
| <div class="line"><a name="l01840"></a><span class="lineno"> 1840</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>:</div> |
| <div class="line"><a name="l01841"></a><span class="lineno"> 1841</span>  slotOption = <a class="code" href="namespacearmnn.html#a5f34318a121e010053655204df94720c">CalculateSlotOptionForInput</a>(backends, outputSlot, registry, importEnabled);</div> |
| <div class="line"><a name="l01842"></a><span class="lineno"> 1842</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l01843"></a><span class="lineno"> 1843</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a>:</div> |
| <div class="line"><a name="l01844"></a><span class="lineno"> 1844</span>  slotOption = <a class="code" href="namespacearmnn.html#ab46c7f5f4736d550ab0e5e05a0fff4a9">CalculateSlotOptionForOutput</a>(backends, outputSlot, registry);</div> |
| <div class="line"><a name="l01845"></a><span class="lineno"> 1845</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l01846"></a><span class="lineno"> 1846</span>  <span class="keywordflow">default</span>:</div> |
| <div class="line"><a name="l01847"></a><span class="lineno"> 1847</span>  slotOption = <a class="code" href="namespacearmnn.html#ad52508167694d6d259525b3eec1a4267">CalculateSlotOption</a>(backends, outputSlot, registry, exportEnabled);</div> |
| <div class="line"><a name="l01848"></a><span class="lineno"> 1848</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l01849"></a><span class="lineno"> 1849</span>  }</div> |
| <div class="line"><a name="l01850"></a><span class="lineno"> 1850</span>  outputSlot.<a class="code" href="classarmnn_1_1_output_slot.html#af29f6883785691ef946d0c32b6d2f338">SetTensorHandleFactory</a>(slotOption);</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>  <span class="comment">// Now determine the "best" edge strategy for each connection given the slotOption.</span></div> |
| <div class="line"><a name="l01853"></a><span class="lineno"> 1853</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> connectionIdx = 0;</div> |
| <div class="line"><a name="l01854"></a><span class="lineno"> 1854</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& connection : outputSlot.<a class="code" href="classarmnn_1_1_output_slot.html#a50b562d4a4edc64d7d8abcca056f0b8c">GetConnections</a>())</div> |
| <div class="line"><a name="l01855"></a><span class="lineno"> 1855</span>  {</div> |
| <div class="line"><a name="l01856"></a><span class="lineno"> 1856</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& connectedLayer = connection->GetOwningLayer();</div> |
| <div class="line"><a name="l01857"></a><span class="lineno"> 1857</span>  </div> |
| <div class="line"><a name="l01858"></a><span class="lineno"> 1858</span>  <a class="code" href="namespacearmnn.html#aff209afc1dc598da399e3e78617ce016">EdgeStrategy</a> strategy = <a class="code" href="namespacearmnn.html#a738d3243c1dc564304d78908c6112e4f">CalculateEdgeStrategy</a>(backends, slotOption, *layer, connectedLayer,</div> |
| <div class="line"><a name="l01859"></a><span class="lineno"> 1859</span>  registry, importEnabled);</div> |
| <div class="line"><a name="l01860"></a><span class="lineno"> 1860</span>  </div> |
| <div class="line"><a name="l01861"></a><span class="lineno"> 1861</span>  <span class="keywordflow">if</span> (strategy == <a class="code" href="namespacearmnn.html#aff209afc1dc598da399e3e78617ce016aec0fc0100c4fc1ce4eea230c3dc10360">EdgeStrategy::Undefined</a>)</div> |
| <div class="line"><a name="l01862"></a><span class="lineno"> 1862</span>  {</div> |
| <div class="line"><a name="l01863"></a><span class="lineno"> 1863</span>  result.<a class="code" href="structarmnn_1_1_optimization_result.html#a41a657cfacb52a80a73575c5c730ab88">m_Error</a> = <span class="keyword">true</span>;</div> |
| <div class="line"><a name="l01864"></a><span class="lineno"> 1864</span>  <span class="keywordflow">if</span> (errMessages)</div> |
| <div class="line"><a name="l01865"></a><span class="lineno"> 1865</span>  {</div> |
| <div class="line"><a name="l01866"></a><span class="lineno"> 1866</span>  errMessages.value().emplace_back(<span class="stringliteral">"Could not find valid strategy required for compatibility"</span></div> |
| <div class="line"><a name="l01867"></a><span class="lineno"> 1867</span>  <span class="stringliteral">" between backends."</span>);</div> |
| <div class="line"><a name="l01868"></a><span class="lineno"> 1868</span>  }</div> |
| <div class="line"><a name="l01869"></a><span class="lineno"> 1869</span>  <span class="keywordflow">return</span>;</div> |
| <div class="line"><a name="l01870"></a><span class="lineno"> 1870</span>  }</div> |
| <div class="line"><a name="l01871"></a><span class="lineno"> 1871</span>  </div> |
| <div class="line"><a name="l01872"></a><span class="lineno"> 1872</span>  outputSlot.<a class="code" href="classarmnn_1_1_output_slot.html#a3f80ddd1f76ed4ad599e0d1a00659ee5">SetEdgeStrategy</a>(connectionIdx, strategy);</div> |
| <div class="line"><a name="l01873"></a><span class="lineno"> 1873</span>  </div> |
| <div class="line"><a name="l01874"></a><span class="lineno"> 1874</span>  connectionIdx++;</div> |
| <div class="line"><a name="l01875"></a><span class="lineno"> 1875</span>  }</div> |
| <div class="line"><a name="l01876"></a><span class="lineno"> 1876</span>  }</div> |
| <div class="line"><a name="l01877"></a><span class="lineno"> 1877</span>  });</div> |
| <div class="line"><a name="l01878"></a><span class="lineno"> 1878</span>  </div> |
| <div class="line"><a name="l01879"></a><span class="lineno"> 1879</span>  <span class="keywordflow">return</span> result;</div> |
| <div class="line"><a name="l01880"></a><span class="lineno"> 1880</span> }</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> <span class="comment">// Forwarding function to remain backward compatible with legacy OptimizerOptions</span></div> |
| <div class="line"><a name="l01883"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a4c79e02d43c1fac7d2f073663ef9ca5d"> 1883</a></span> <a class="code" href="namespacearmnn.html#a674efcf6cbdb9e831d653ff0e821fb38">IOptimizedNetworkPtr</a> <a class="code" href="namespacearmnn.html#aa42e128b41f4e966fc901f9bf42c5a1c">Optimize</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_graph.html">Graph</a>& inGraph,</div> |
| <div class="line"><a name="l01884"></a><span class="lineno"> 1884</span>  <span class="keyword">const</span> std::vector<BackendId>& backendPreferences,</div> |
| <div class="line"><a name="l01885"></a><span class="lineno"> 1885</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_device_spec.html">IDeviceSpec</a>& deviceSpec,</div> |
| <div class="line"><a name="l01886"></a><span class="lineno"> 1886</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_optimizer_options.html">OptimizerOptions</a>& options,</div> |
| <div class="line"><a name="l01887"></a><span class="lineno"> 1887</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional</a><std::vector<std::string>&> messages)</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>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#aa42e128b41f4e966fc901f9bf42c5a1c">Optimize</a>(inGraph,</div> |
| <div class="line"><a name="l01890"></a><span class="lineno"> 1890</span>  backendPreferences,</div> |
| <div class="line"><a name="l01891"></a><span class="lineno"> 1891</span>  deviceSpec,</div> |
| <div class="line"><a name="l01892"></a><span class="lineno"> 1892</span>  <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html">OptimizerOptionsOpaque</a>(options),</div> |
| <div class="line"><a name="l01893"></a><span class="lineno"> 1893</span>  messages);</div> |
| <div class="line"><a name="l01894"></a><span class="lineno"> 1894</span> }</div> |
| <div class="line"><a name="l01895"></a><span class="lineno"> 1895</span>  </div> |
| <div class="line"><a name="l01896"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a31b06d0ee0a2eb5879f9af482913a0fe"> 1896</a></span> <a class="code" href="namespacearmnn.html#a674efcf6cbdb9e831d653ff0e821fb38">IOptimizedNetworkPtr</a> <a class="code" href="namespacearmnn.html#aa42e128b41f4e966fc901f9bf42c5a1c">Optimize</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_graph.html">Graph</a>& inGraph,</div> |
| <div class="line"><a name="l01897"></a><span class="lineno"> 1897</span>  <span class="keyword">const</span> std::vector<BackendId>& backendPreferences,</div> |
| <div class="line"><a name="l01898"></a><span class="lineno"> 1898</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_device_spec.html">IDeviceSpec</a>& deviceSpec,</div> |
| <div class="line"><a name="l01899"></a><span class="lineno"> 1899</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html">OptimizerOptionsOpaque</a>& options,</div> |
| <div class="line"><a name="l01900"></a><span class="lineno"> 1900</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional</a><std::vector<std::string>&> messages)</div> |
| <div class="line"><a name="l01901"></a><span class="lineno"> 1901</span> {</div> |
| <div class="line"><a name="l01902"></a><span class="lineno"> 1902</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407aad42f6697b035b7580e4fef93be20b4d">debug</a>) << options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a906953de2f5edc60b2c27bd720a70aa4">ToString</a>();</div> |
| <div class="line"><a name="l01903"></a><span class="lineno"> 1903</span>  </div> |
| <div class="line"><a name="l01904"></a><span class="lineno"> 1904</span>  <span class="comment">// Enable profiling</span></div> |
| <div class="line"><a name="l01905"></a><span class="lineno"> 1905</span>  <span class="keyword">auto</span> profiler = inGraph.<a class="code" href="classarmnn_1_1_graph.html#a880db527e7dbf8d0de3fee52ba072482">GetProfiler</a>();</div> |
| <div class="line"><a name="l01906"></a><span class="lineno"> 1906</span>  <a class="code" href="classarmnn_1_1_profiler_manager.html#a93857080c2523bf3395e7aa7e6024d5c">ProfilerManager::GetInstance</a>().<a class="code" href="classarmnn_1_1_profiler_manager.html#a7b1e3e5bf386004541be2b5b22443208">RegisterProfiler</a>(profiler.get());</div> |
| <div class="line"><a name="l01907"></a><span class="lineno"> 1907</span>  profiler->EnableProfiling(options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a4527a67076f983e8db3496207d120fb5">GetProfilingEnabled</a>());</div> |
| <div class="line"><a name="l01908"></a><span class="lineno"> 1908</span>  </div> |
| <div class="line"><a name="l01909"></a><span class="lineno"> 1909</span>  <span class="comment">// Some backends don't play well together. Check here before continuing.</span></div> |
| <div class="line"><a name="l01910"></a><span class="lineno"> 1910</span>  {</div> |
| <div class="line"><a name="l01911"></a><span class="lineno"> 1911</span>  std::set<BackendId> backendSet(backendPreferences.begin(), backendPreferences.end());</div> |
| <div class="line"><a name="l01912"></a><span class="lineno"> 1912</span>  <span class="comment">// GpuFsa cannot co-exist with GpuAcc.</span></div> |
| <div class="line"><a name="l01913"></a><span class="lineno"> 1913</span>  <span class="keywordflow">if</span> (backendSet.find(<span class="stringliteral">"GpuFsa"</span>) != backendSet.end() &&</div> |
| <div class="line"><a name="l01914"></a><span class="lineno"> 1914</span>  backendSet.find(<span class="stringliteral">"GpuAcc"</span>) != backendSet.end())</div> |
| <div class="line"><a name="l01915"></a><span class="lineno"> 1915</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.html">InvalidArgumentException</a>(<span class="stringliteral">"The backends \"GpuAcc\" and \"GpuFsa\" cannot be specified "</span></div> |
| <div class="line"><a name="l01917"></a><span class="lineno"> 1917</span>  <span class="stringliteral">"for the same optimized network."</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>  }</div> |
| <div class="line"><a name="l01920"></a><span class="lineno"> 1920</span>  </div> |
| <div class="line"><a name="l01921"></a><span class="lineno"> 1921</span>  <a class="code" href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"Optimizer"</span>);</div> |
| <div class="line"><a name="l01922"></a><span class="lineno"> 1922</span>  <span class="keywordflow">if</span> (backendPreferences.empty())</div> |
| <div class="line"><a name="l01923"></a><span class="lineno"> 1923</span>  {</div> |
| <div class="line"><a name="l01924"></a><span class="lineno"> 1924</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"Invoked Optimize with no backends specified"</span>);</div> |
| <div class="line"><a name="l01925"></a><span class="lineno"> 1925</span>  }</div> |
| <div class="line"><a name="l01926"></a><span class="lineno"> 1926</span>  </div> |
| <div class="line"><a name="l01927"></a><span class="lineno"> 1927</span>  <span class="keywordflow">if</span> (options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a41297bcbc0f576cba32fabcdb2f893b8">GetReduceFp32ToBf16</a>())</div> |
| <div class="line"><a name="l01928"></a><span class="lineno"> 1928</span>  {</div> |
| <div class="line"><a name="l01929"></a><span class="lineno"> 1929</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"BFloat16 optimization is currently ignored. In order to use Bf16 optimization "</span></div> |
| <div class="line"><a name="l01930"></a><span class="lineno"> 1930</span>  <span class="stringliteral">"Please use the FastMathEnabled backend option for CpuAcc or GpuAcc."</span>);</div> |
| <div class="line"><a name="l01931"></a><span class="lineno"> 1931</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>  <span class="keywordflow">if</span> (options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a70dc46a7e4105cf24df5a5bb58ae07a5">GetReduceFp32ToFp16</a>() && options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a41297bcbc0f576cba32fabcdb2f893b8">GetReduceFp32ToBf16</a>())</div> |
| <div class="line"><a name="l01934"></a><span class="lineno"> 1934</span>  {</div> |
| <div class="line"><a name="l01935"></a><span class="lineno"> 1935</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"BFloat16 and Float16 optimization cannot be enabled at the same time."</span>);</div> |
| <div class="line"><a name="l01936"></a><span class="lineno"> 1936</span>  }</div> |
| <div class="line"><a name="l01937"></a><span class="lineno"> 1937</span>  </div> |
| <div class="line"><a name="l01938"></a><span class="lineno"> 1938</span>  <span class="comment">// Ensure TensorInfo is set on all output slots of ConstantLayers in the graph</span></div> |
| <div class="line"><a name="l01939"></a><span class="lineno"> 1939</span>  inGraph.<a class="code" href="classarmnn_1_1_graph.html#a6cc2c46f05be1d3bf113d632aed1e496">VerifyConstantLayerSetTensorInfo</a>();</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>  std::unique_ptr<Graph> graph = std::make_unique<Graph>(inGraph);</div> |
| <div class="line"><a name="l01942"></a><span class="lineno"> 1942</span>  </div> |
| <div class="line"><a name="l01943"></a><span class="lineno"> 1943</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="l01944"></a><span class="lineno"> 1944</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="l01945"></a><span class="lineno"> 1945</span>  <a class="code" href="structarmnn_1_1_backend_options.html">armnn::BackendOptions</a> importExport(<span class="stringliteral">"Global"</span>,</div> |
| <div class="line"><a name="l01946"></a><span class="lineno"> 1946</span>  {{<span class="stringliteral">"ImportEnabled"</span>, options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a3cb5ef29e47f60acd88b16d6fee254f5">GetImportEnabled</a>()},</div> |
| <div class="line"><a name="l01947"></a><span class="lineno"> 1947</span>  {<span class="stringliteral">"ExportEnabled"</span>, options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#af7a1f38591d1a19952ac13515becc894">GetExportEnabled</a>()}});</div> |
| <div class="line"><a name="l01948"></a><span class="lineno"> 1948</span>  <a class="code" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> optimizedOptions(options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#aac024dacf704e6933d1a6b18d5330738">GetModelOptions</a>());</div> |
| <div class="line"><a name="l01949"></a><span class="lineno"> 1949</span>  optimizedOptions.push_back(importExport);</div> |
| <div class="line"><a name="l01950"></a><span class="lineno"> 1950</span>  </div> |
| <div class="line"><a name="l01951"></a><span class="lineno"> 1951</span>  <span class="keyword">auto</span> optNet = <a class="code" href="namespacearmnn.html#a674efcf6cbdb9e831d653ff0e821fb38">IOptimizedNetworkPtr</a>(<span class="keyword">new</span> <a class="code" href="classarmnn_1_1_i_optimized_network.html">IOptimizedNetwork</a>(std::move(graph), optimizedOptions),</div> |
| <div class="line"><a name="l01952"></a><span class="lineno"> 1952</span>  &<a class="code" href="classarmnn_1_1_i_optimized_network.html#a58ee539cf95c1e99fe4f54ef6e8bbd05">IOptimizedNetwork::Destroy</a>);</div> |
| <div class="line"><a name="l01953"></a><span class="lineno"> 1953</span>  </div> |
| <div class="line"><a name="l01954"></a><span class="lineno"> 1954</span>  <a class="code" href="classarmnn_1_1_i_optimized_network.html">IOptimizedNetwork</a>* optNetObjPtr = optNet.get();</div> |
| <div class="line"><a name="l01955"></a><span class="lineno"> 1955</span>  </div> |
| <div class="line"><a name="l01956"></a><span class="lineno"> 1956</span>  <span class="comment">// Get the optimized graph</span></div> |
| <div class="line"><a name="l01957"></a><span class="lineno"> 1957</span>  <a class="code" href="classarmnn_1_1_graph.html">Graph</a>& optGraph = optNetObjPtr-><a class="code" href="classarmnn_1_1_i_optimized_network.html#a374d52340ec8dc02a819acc20fb5aa92">pOptimizedNetworkImpl</a>->GetGraph();</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">if</span>(options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a4d0994094ec68328df73a00304fb4af6">GetShapeInferenceMethod</a>() == <a class="code" href="namespacearmnn.html#adf57837d00e8352d9b5cc5ab1fb5fee9a5dd7c525cb1500a2181fd4cc079d7acb">ShapeInferenceMethod::InferAndValidate</a>)</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">// Infer the tensor infos for all output slots. Throws an exception on failure</span></div> |
| <div class="line"><a name="l01962"></a><span class="lineno"> 1962</span>  optGraph.<a class="code" href="classarmnn_1_1_graph.html#a2ceda8d369e861997d558fac74d79c33">InferTensorInfos</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>  <span class="comment">// Perform BroadcastToOptimizationLayer and then AddBroadcastReshapeLayer optimisation</span></div> |
| <div class="line"><a name="l01966"></a><span class="lineno"> 1966</span>  <span class="keyword">using namespace </span>optimizations;</div> |
| <div class="line"><a name="l01967"></a><span class="lineno"> 1967</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#abe2f78445ce58bc35eff698bf77f42d0">BroadcastToOptimizationLayer</a>()));</div> |
| <div class="line"><a name="l01968"></a><span class="lineno"> 1968</span>  </div> |
| <div class="line"><a name="l01969"></a><span class="lineno"> 1969</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#a4fc55afb4885278ad1510b2c4307af76">AddBroadcastReshapeLayer</a>()));</div> |
| <div class="line"><a name="l01970"></a><span class="lineno"> 1970</span>  </div> |
| <div class="line"><a name="l01971"></a><span class="lineno"> 1971</span>  <span class="keywordflow">if</span>(options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a4d0994094ec68328df73a00304fb4af6">GetShapeInferenceMethod</a>() == <a class="code" href="namespacearmnn.html#adf57837d00e8352d9b5cc5ab1fb5fee9af6486a22a9bb11959bfae60a3e5174b1">ShapeInferenceMethod::ValidateOnly</a>)</div> |
| <div class="line"><a name="l01972"></a><span class="lineno"> 1972</span>  {</div> |
| <div class="line"><a name="l01973"></a><span class="lineno"> 1973</span>  <span class="comment">// Validate the tensor infos for all output slots. Throws an exception on failure</span></div> |
| <div class="line"><a name="l01974"></a><span class="lineno"> 1974</span>  optGraph.<a class="code" href="classarmnn_1_1_graph.html#a2ceda8d369e861997d558fac74d79c33">InferTensorInfos</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>  </div> |
| <div class="line"><a name="l01977"></a><span class="lineno"> 1977</span>  </div> |
| <div class="line"><a name="l01978"></a><span class="lineno"> 1978</span>  <span class="comment">// Group Constant Layer optimizations together where possible.</span></div> |
| <div class="line"><a name="l01979"></a><span class="lineno"> 1979</span>  <span class="comment">// This is important as:</span></div> |
| <div class="line"><a name="l01980"></a><span class="lineno"> 1980</span>  <span class="comment">// FusePermuteIntoConstantLayer must happen before FoldPadIntoDepthwiseConvolution2d and</span></div> |
| <div class="line"><a name="l01981"></a><span class="lineno"> 1981</span>  <span class="comment">// FuseBatchNormIntoDepthwiseConvolution2D.</span></div> |
| <div class="line"><a name="l01982"></a><span class="lineno"> 1982</span>  <span class="comment">// ConvertConstDequantisationLayersToConstLayers must happen before FoldPadIntoConvolution2d</span></div> |
| <div class="line"><a name="l01983"></a><span class="lineno"> 1983</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#ad668074369437a111649f51296ff8959">FusePermuteIntoConstLayer</a>(),</div> |
| <div class="line"><a name="l01984"></a><span class="lineno"> 1984</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a4dfbdc8cc90b67e74eccd146d977ff66">ConvertConstDequantisationLayersToConstLayers</a>()));</div> |
| <div class="line"><a name="l01985"></a><span class="lineno"> 1985</span>  <span class="comment">// Perform optimisation passes</span></div> |
| <div class="line"><a name="l01986"></a><span class="lineno"> 1986</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#a64ddffb38fbe5b78ec92b753cd4bd0ba">SquashEqualPermuteSiblings</a>(),</div> |
| <div class="line"><a name="l01987"></a><span class="lineno"> 1987</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#aba7b0ca6192b8b58ecd517a82b4f378e">SquashEqualTransposeSiblings</a>(),</div> |
| <div class="line"><a name="l01988"></a><span class="lineno"> 1988</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a29f8d97b2d74f99c88298881cd1d825b">SquashEqualReshapeSiblings</a>(),</div> |
| <div class="line"><a name="l01989"></a><span class="lineno"> 1989</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#aa31127c77d2117f78d43ca2958dcae19">OptimizeInversePermutes</a>(),</div> |
| <div class="line"><a name="l01990"></a><span class="lineno"> 1990</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a2f9d1a13be2ac1c4213729a0ef181fc0">OptimizeInverseTransposes</a>(),</div> |
| <div class="line"><a name="l01991"></a><span class="lineno"> 1991</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#aafc70d5af99400ff5ea7991825658b2f">MovePermuteUp</a>(),</div> |
| <div class="line"><a name="l01992"></a><span class="lineno"> 1992</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a5918588fa316cf4c23f1cf02c81ee706">MoveTransposeUp</a>(),</div> |
| <div class="line"><a name="l01993"></a><span class="lineno"> 1993</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#ae0b1382e3af141896a46531c50e8863f">PermuteAsReshape</a>(),</div> |
| <div class="line"><a name="l01994"></a><span class="lineno"> 1994</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#ad1aaeee71293f34d9f65d2dd2792830d">TransposeAsReshape</a>(),</div> |
| <div class="line"><a name="l01995"></a><span class="lineno"> 1995</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a8341ca3512ebafb19d60eba44d40d9e4">OptimizeConsecutiveReshapes</a>(),</div> |
| <div class="line"><a name="l01996"></a><span class="lineno"> 1996</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a8b394ff60ed829a91f07deac476f3db2">FoldPadIntoConvolution2d</a>(),</div> |
| <div class="line"><a name="l01997"></a><span class="lineno"> 1997</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a227e9ab5e488aa90ba462790ba0e5aec">FoldPadIntoDepthwiseConvolution2d</a>(),</div> |
| <div class="line"><a name="l01998"></a><span class="lineno"> 1998</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a279d0a7c56966cea334303d48a874964">FoldPadIntoPooling2d</a>(),</div> |
| <div class="line"><a name="l01999"></a><span class="lineno"> 1999</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#abe2f78445ce58bc35eff698bf77f42d0">BroadcastToOptimizationLayer</a>(),</div> |
| <div class="line"><a name="l02000"></a><span class="lineno"> 2000</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a17d1279f5f8e3b92c328b1ed3b6fd549">PermuteAndBatchToSpaceAsDepthToSpace</a>(),</div> |
| <div class="line"><a name="l02001"></a><span class="lineno"> 2001</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a98f54d4391347d517c7a7869e7707203">TransposeAndBatchToSpaceAsDepthToSpace</a>(),</div> |
| <div class="line"><a name="l02002"></a><span class="lineno"> 2002</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#aa52c06792e18dc13030e82476f706f9e">FuseBatchNormIntoConvolution2DFloat32</a>(),</div> |
| <div class="line"><a name="l02003"></a><span class="lineno"> 2003</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a8a81178ddcebb93ec0c35b6e6284273c">FuseBatchNormIntoConvolution2DFloat16</a>(),</div> |
| <div class="line"><a name="l02004"></a><span class="lineno"> 2004</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a56e54a818166a2f4b2c1a7f76a3629ff">FuseBatchNormIntoDepthwiseConvolution2DFloat32</a>(),</div> |
| <div class="line"><a name="l02005"></a><span class="lineno"> 2005</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#ab40bb51feca46649eb9d00522bfe51f6">FuseBatchNormIntoDepthwiseConvolution2DFloat16</a>()));</div> |
| <div class="line"><a name="l02006"></a><span class="lineno"> 2006</span>  </div> |
| <div class="line"><a name="l02007"></a><span class="lineno"> 2007</span>  <span class="comment">// Initialize backend settings</span></div> |
| <div class="line"><a name="l02008"></a><span class="lineno"> 2008</span>  <a class="code" href="structarmnn_1_1_backend_settings.html">BackendSettings</a> backendSettings(backendPreferences, deviceSpec);</div> |
| <div class="line"><a name="l02009"></a><span class="lineno"> 2009</span>  <span class="keyword">auto</span> availablePreferredBackends = backendSettings.<a class="code" href="structarmnn_1_1_backend_settings.html#ad4ca579528452c669b45f3f35300fd4e">GetAvailablePreferredBackends</a>();</div> |
| <div class="line"><a name="l02010"></a><span class="lineno"> 2010</span>  <span class="keywordflow">if</span> (availablePreferredBackends.empty())</div> |
| <div class="line"><a name="l02011"></a><span class="lineno"> 2011</span>  {</div> |
| <div class="line"><a name="l02012"></a><span class="lineno"> 2012</span>  std::stringstream failureMsg;</div> |
| <div class="line"><a name="l02013"></a><span class="lineno"> 2013</span>  failureMsg << <span class="stringliteral">"None of the preferred backends "</span> << backendPreferences</div> |
| <div class="line"><a name="l02014"></a><span class="lineno"> 2014</span>  << <span class="stringliteral">" are supported. Current platform provides "</span> << backendSettings.<a class="code" href="structarmnn_1_1_backend_settings.html#a0b160952af61b24d88125d66ed6d43c1">m_SupportedBackends</a>;</div> |
| <div class="line"><a name="l02015"></a><span class="lineno"> 2015</span>  <a class="code" href="namespacearmnn.html#a3cf1cee98e0ed8b54263ec7279f6ec69">ReportError</a>(failureMsg.str(), messages);</div> |
| <div class="line"><a name="l02016"></a><span class="lineno"> 2016</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(failureMsg.str());</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>  </div> |
| <div class="line"><a name="l02019"></a><span class="lineno"> 2019</span>  <span class="comment">// Create a map to temporarily hold initialized backend objects</span></div> |
| <div class="line"><a name="l02020"></a><span class="lineno"> 2020</span>  <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a> tensorHandleFactoryRegistry;</div> |
| <div class="line"><a name="l02021"></a><span class="lineno"> 2021</span>  <a class="code" href="namespacearmnn.html#a9173495a61a0092b5f38b855f02c3585">BackendsMap</a> backends = <a class="code" href="namespacearmnn.html#a1ec6b4c20ed294a96cf94c33c24caaf5">CreateSupportedBackends</a>(tensorHandleFactoryRegistry, backendSettings);</div> |
| <div class="line"><a name="l02022"></a><span class="lineno"> 2022</span>  </div> |
| <div class="line"><a name="l02023"></a><span class="lineno"> 2023</span>  <span class="keywordflow">if</span> (options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a70dc46a7e4105cf24df5a5bb58ae07a5">GetReduceFp32ToFp16</a>())</div> |
| <div class="line"><a name="l02024"></a><span class="lineno"> 2024</span>  {</div> |
| <div class="line"><a name="l02025"></a><span class="lineno"> 2025</span>  <span class="keywordtype">bool</span> hasFp16 = <a class="code" href="namespacearmnn.html#aa52ce4f1fab044ad0c73f9613e2ef6ce">CheckFp16Support</a>(backends, availablePreferredBackends);</div> |
| <div class="line"><a name="l02026"></a><span class="lineno"> 2026</span>  <span class="keywordflow">if</span> (hasFp16)</div> |
| <div class="line"><a name="l02027"></a><span class="lineno"> 2027</span>  {</div> |
| <div class="line"><a name="l02028"></a><span class="lineno"> 2028</span>  <a class="code" href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"Optimizer_ReduceFp32ToFp16"</span>);</div> |
| <div class="line"><a name="l02029"></a><span class="lineno"> 2029</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#a86d19da62b6cfed3928f6fe7026f22fa">Fp32NetworkToFp16Converter</a>()));</div> |
| <div class="line"><a name="l02030"></a><span class="lineno"> 2030</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#a226cef3d775179e25ee35d231f4e8fae">ConvertConstantsFloatToHalf</a>()));</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>  }</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>  <span class="comment">// Assign an available backend to each layer</span></div> |
| <div class="line"><a name="l02035"></a><span class="lineno"> 2035</span>  <a class="code" href="classarmnn_1_1_graph.html#acc25db0641c1c22faf95af3bb49080c9">Graph::Iterator</a> firstLayer = optGraph.<a class="code" href="classarmnn_1_1_graph.html#a2387033802383edbdc95f9bbb12a707e">begin</a>();</div> |
| <div class="line"><a name="l02036"></a><span class="lineno"> 2036</span>  <a class="code" href="classarmnn_1_1_graph.html#acc25db0641c1c22faf95af3bb49080c9">Graph::Iterator</a> lastLayer = optGraph.<a class="code" href="classarmnn_1_1_graph.html#ab45dae688fc5d8983727abffa4389003">end</a>();</div> |
| <div class="line"><a name="l02037"></a><span class="lineno"> 2037</span>  <a class="code" href="structarmnn_1_1_optimization_result.html">OptimizationResult</a> assignBackendsResult = <a class="code" href="namespacearmnn.html#a839ad76f1f52a70b540805b231f05d9c">AssignBackends</a>(optNetObjPtr-><a class="code" href="classarmnn_1_1_i_optimized_network.html#a374d52340ec8dc02a819acc20fb5aa92">pOptimizedNetworkImpl</a>.get(),</div> |
| <div class="line"><a name="l02038"></a><span class="lineno"> 2038</span>  backendSettings,</div> |
| <div class="line"><a name="l02039"></a><span class="lineno"> 2039</span>  firstLayer,</div> |
| <div class="line"><a name="l02040"></a><span class="lineno"> 2040</span>  lastLayer,</div> |
| <div class="line"><a name="l02041"></a><span class="lineno"> 2041</span>  messages);</div> |
| <div class="line"><a name="l02042"></a><span class="lineno"> 2042</span>  <span class="keywordflow">if</span> (assignBackendsResult.<a class="code" href="structarmnn_1_1_optimization_result.html#a41a657cfacb52a80a73575c5c730ab88">m_Error</a>)</div> |
| <div class="line"><a name="l02043"></a><span class="lineno"> 2043</span>  {</div> |
| <div class="line"><a name="l02044"></a><span class="lineno"> 2044</span>  <span class="comment">// Failed to assign a backend to each layer</span></div> |
| <div class="line"><a name="l02045"></a><span class="lineno"> 2045</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"Failed to assign a backend to each layer"</span>);</div> |
| <div class="line"><a name="l02046"></a><span class="lineno"> 2046</span>  }</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>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#a1a9d718b48612b5817a3c369f9fd71ee">OptimizeInverseConversionsFp16</a>(),</div> |
| <div class="line"><a name="l02049"></a><span class="lineno"> 2049</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#ae1509d340bc981b11101c3316ee8afd6">OptimizeInverseConversionsFp32</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>  <span class="comment">// Apply the backend-specific optimizations</span></div> |
| <div class="line"><a name="l02052"></a><span class="lineno"> 2052</span>  <a class="code" href="structarmnn_1_1_optimization_result.html">OptimizationResult</a> backendOptimizationResult = <a class="code" href="namespacearmnn.html#ac39f2b15d34d3e2fc74d586fc3e26231">ApplyBackendOptimizations</a>(optNetObjPtr-><a class="code" href="classarmnn_1_1_i_optimized_network.html#a374d52340ec8dc02a819acc20fb5aa92">pOptimizedNetworkImpl</a>.get(),</div> |
| <div class="line"><a name="l02053"></a><span class="lineno"> 2053</span>  backendSettings,</div> |
| <div class="line"><a name="l02054"></a><span class="lineno"> 2054</span>  backends,</div> |
| <div class="line"><a name="l02055"></a><span class="lineno"> 2055</span>  options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#aac024dacf704e6933d1a6b18d5330738">GetModelOptions</a>(),</div> |
| <div class="line"><a name="l02056"></a><span class="lineno"> 2056</span>  messages);</div> |
| <div class="line"><a name="l02057"></a><span class="lineno"> 2057</span>  <span class="keywordflow">if</span> (backendOptimizationResult.<a class="code" href="structarmnn_1_1_optimization_result.html#a41a657cfacb52a80a73575c5c730ab88">m_Error</a>)</div> |
| <div class="line"><a name="l02058"></a><span class="lineno"> 2058</span>  {</div> |
| <div class="line"><a name="l02059"></a><span class="lineno"> 2059</span>  <span class="comment">// Failed to apply the backend-specific optimizations</span></div> |
| <div class="line"><a name="l02060"></a><span class="lineno"> 2060</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"Failed to apply the backend-specific optimizations"</span>);</div> |
| <div class="line"><a name="l02061"></a><span class="lineno"> 2061</span>  }</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>  <span class="comment">// Convert constants</span></div> |
| <div class="line"><a name="l02064"></a><span class="lineno"> 2064</span>  {</div> |
| <div class="line"><a name="l02065"></a><span class="lineno"> 2065</span>  <a class="code" href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"Optimizer_ConvertConstants"</span>);</div> |
| <div class="line"><a name="l02066"></a><span class="lineno"> 2066</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#a226cef3d775179e25ee35d231f4e8fae">ConvertConstantsFloatToHalf</a>()));</div> |
| <div class="line"><a name="l02067"></a><span class="lineno"> 2067</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#a06cac66872538895dd6b59cdf39173d2">ConvertConstantsHalfToFloat</a>()));</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"> 2070</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="l02071"></a><span class="lineno"> 2071</span>  <span class="comment">// If the debug flag is set, then insert a DebugLayer after each layer</span></div> |
| <div class="line"><a name="l02072"></a><span class="lineno"> 2072</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="l02073"></a><span class="lineno"> 2073</span>  <span class="keywordflow">if</span> (options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a5c25504e5efe52a17f5b0ca45753aaf0">GetDebugEnabled</a>() && !options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a8933eb842c6152f61535b69bd37c867e">GetDebugToFileEnabled</a>())</div> |
| <div class="line"><a name="l02074"></a><span class="lineno"> 2074</span>  {</div> |
| <div class="line"><a name="l02075"></a><span class="lineno"> 2075</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#aa76c76565125ad77092403176d74fd85">InsertDebugLayer</a>()));</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">else</span> <span class="keywordflow">if</span> (options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a8933eb842c6152f61535b69bd37c867e">GetDebugToFileEnabled</a>())</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>  <span class="comment">// Setup the output file path</span></div> |
| <div class="line"><a name="l02080"></a><span class="lineno"> 2080</span>  <span class="keywordflow">try</span></div> |
| <div class="line"><a name="l02081"></a><span class="lineno"> 2081</span>  {</div> |
| <div class="line"><a name="l02082"></a><span class="lineno"> 2082</span> <span class="preprocessor">#if !defined(ARMNN_DISABLE_FILESYSTEM)</span></div> |
| <div class="line"><a name="l02083"></a><span class="lineno"> 2083</span>  <span class="keyword">auto</span> result = <a class="code" href="namespacearmnn_utils_1_1_filesystem.html#a0477efb2c6f5b41fbfe937fef6db312d">armnnUtils::Filesystem::CreateDirectory</a>(<span class="stringliteral">"/ArmNNIntermediateLayerOutputs"</span>);</div> |
| <div class="line"><a name="l02084"></a><span class="lineno"> 2084</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) << <span class="stringliteral">"Intermediate tensors will be written to: "</span> << result;</div> |
| <div class="line"><a name="l02085"></a><span class="lineno"> 2085</span> <span class="preprocessor">#endif</span></div> |
| <div class="line"><a name="l02086"></a><span class="lineno"> 2086</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#a9c0a3a9a388a01bc21e20a16e70055f0">InsertDebugToFileLayer</a>()));</div> |
| <div class="line"><a name="l02087"></a><span class="lineno"> 2087</span>  }</div> |
| <div class="line"><a name="l02088"></a><span class="lineno"> 2088</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_runtime_exception.html">armnn::RuntimeException</a>& e)</div> |
| <div class="line"><a name="l02089"></a><span class="lineno"> 2089</span>  {</div> |
| <div class="line"><a name="l02090"></a><span class="lineno"> 2090</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="l02091"></a><span class="lineno"> 2091</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd">warning</a>) << <span class="stringliteral">"Unable to print intermediate layer outputs : "</span> << e.<a class="code" href="classarmnn_1_1_exception.html#abf843cbb29dec939d0731e491bab6f70">what</a>();</div> |
| <div class="line"><a name="l02092"></a><span class="lineno"> 2092</span>  }</div> |
| <div class="line"><a name="l02093"></a><span class="lineno"> 2093</span>  }</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="comment">// Calculate the compatibility strategies for tensor handles</span></div> |
| <div class="line"><a name="l02096"></a><span class="lineno"> 2096</span>  <a class="code" href="structarmnn_1_1_optimization_result.html">OptimizationResult</a> strategyResult = <a class="code" href="namespacearmnn.html#acbf7c9a630f03ece800f807d946239ab">SelectTensorHandleStrategy</a>(optGraph,</div> |
| <div class="line"><a name="l02097"></a><span class="lineno"> 2097</span>  backends,</div> |
| <div class="line"><a name="l02098"></a><span class="lineno"> 2098</span>  tensorHandleFactoryRegistry,</div> |
| <div class="line"><a name="l02099"></a><span class="lineno"> 2099</span>  options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a3cb5ef29e47f60acd88b16d6fee254f5">GetImportEnabled</a>(),</div> |
| <div class="line"><a name="l02100"></a><span class="lineno"> 2100</span>  options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#af7a1f38591d1a19952ac13515becc894">GetExportEnabled</a>(),</div> |
| <div class="line"><a name="l02101"></a><span class="lineno"> 2101</span>  messages);</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>  <span class="keywordflow">if</span> (strategyResult.<a class="code" href="structarmnn_1_1_optimization_result.html#a41a657cfacb52a80a73575c5c730ab88">m_Error</a>)</div> |
| <div class="line"><a name="l02104"></a><span class="lineno"> 2104</span>  {</div> |
| <div class="line"><a name="l02105"></a><span class="lineno"> 2105</span>  <span class="comment">// Failed to apply the backend-specific optimizations</span></div> |
| <div class="line"><a name="l02106"></a><span class="lineno"> 2106</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#a674efcf6cbdb9e831d653ff0e821fb38">IOptimizedNetworkPtr</a>(<span class="keyword">nullptr</span>, &<a class="code" href="classarmnn_1_1_i_optimized_network.html#a58ee539cf95c1e99fe4f54ef6e8bbd05">IOptimizedNetwork::Destroy</a>);</div> |
| <div class="line"><a name="l02107"></a><span class="lineno"> 2107</span>  }</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>  <span class="comment">// Based on the tensor handle strategy determined above, insert copy layers where required.</span></div> |
| <div class="line"><a name="l02110"></a><span class="lineno"> 2110</span>  {</div> |
| <div class="line"><a name="l02111"></a><span class="lineno"> 2111</span>  <a class="code" href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"Optimizer_AddCompatibilityLayers"</span>);</div> |
| <div class="line"><a name="l02112"></a><span class="lineno"> 2112</span>  optGraph.<a class="code" href="classarmnn_1_1_graph.html#ad1bbee7bf5f93b792675886f57d3ebe0">AddCompatibilityLayers</a>(backends, tensorHandleFactoryRegistry);</div> |
| <div class="line"><a name="l02113"></a><span class="lineno"> 2113</span>  }</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>  <span class="keywordflow">return</span> optNet;</div> |
| <div class="line"><a name="l02116"></a><span class="lineno"> 2116</span> }</div> |
| <div class="line"><a name="l02117"></a><span class="lineno"> 2117</span>  </div> |
| <div class="line"><a name="l02118"></a><span class="lineno"> 2118</span> <span class="comment">// Forwarding function to remain backward compatible with legacy OptimizerOptions</span></div> |
| <div class="line"><a name="l02119"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ab7116c24a003e722c09c86a2f5cf1a37"> 2119</a></span> <a class="code" href="namespacearmnn.html#a674efcf6cbdb9e831d653ff0e821fb38">IOptimizedNetworkPtr</a> <a class="code" href="namespacearmnn.html#aa42e128b41f4e966fc901f9bf42c5a1c">Optimize</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_network.html">INetwork</a>& inNetwork,</div> |
| <div class="line"><a name="l02120"></a><span class="lineno"> 2120</span>  <span class="keyword">const</span> std::vector<BackendId>& backendPreferences,</div> |
| <div class="line"><a name="l02121"></a><span class="lineno"> 2121</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_device_spec.html">IDeviceSpec</a>& deviceSpec,</div> |
| <div class="line"><a name="l02122"></a><span class="lineno"> 2122</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_optimizer_options.html">OptimizerOptions</a>& options,</div> |
| <div class="line"><a name="l02123"></a><span class="lineno"> 2123</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional</a><std::vector<std::string>&> messages)</div> |
| <div class="line"><a name="l02124"></a><span class="lineno"> 2124</span> {</div> |
| <div class="line"><a name="l02125"></a><span class="lineno"> 2125</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#aa42e128b41f4e966fc901f9bf42c5a1c">Optimize</a>(inNetwork,</div> |
| <div class="line"><a name="l02126"></a><span class="lineno"> 2126</span>  backendPreferences,</div> |
| <div class="line"><a name="l02127"></a><span class="lineno"> 2127</span>  deviceSpec,</div> |
| <div class="line"><a name="l02128"></a><span class="lineno"> 2128</span>  <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html">OptimizerOptionsOpaque</a>(options),</div> |
| <div class="line"><a name="l02129"></a><span class="lineno"> 2129</span>  messages);</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="namespacearmnn.html#aa42e128b41f4e966fc901f9bf42c5a1c"> 2132</a></span> <a class="code" href="namespacearmnn.html#a674efcf6cbdb9e831d653ff0e821fb38">IOptimizedNetworkPtr</a> <a class="code" href="namespacearmnn.html#aa42e128b41f4e966fc901f9bf42c5a1c">Optimize</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_network.html">INetwork</a>& inNetwork,</div> |
| <div class="line"><a name="l02133"></a><span class="lineno"> 2133</span>  <span class="keyword">const</span> std::vector<BackendId>& backendPreferences,</div> |
| <div class="line"><a name="l02134"></a><span class="lineno"> 2134</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_device_spec.html">IDeviceSpec</a>& deviceSpec,</div> |
| <div class="line"><a name="l02135"></a><span class="lineno"> 2135</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html">OptimizerOptionsOpaque</a>& options,</div> |
| <div class="line"><a name="l02136"></a><span class="lineno"> 2136</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional</a><std::vector<std::string>&> messages)</div> |
| <div class="line"><a name="l02137"></a><span class="lineno"> 2137</span> {</div> |
| <div class="line"><a name="l02138"></a><span class="lineno"> 2138</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#aa42e128b41f4e966fc901f9bf42c5a1c">Optimize</a>(inNetwork.<a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->GetGraph(),</div> |
| <div class="line"><a name="l02139"></a><span class="lineno"> 2139</span>  backendPreferences,</div> |
| <div class="line"><a name="l02140"></a><span class="lineno"> 2140</span>  deviceSpec,</div> |
| <div class="line"><a name="l02141"></a><span class="lineno"> 2141</span>  options,</div> |
| <div class="line"><a name="l02142"></a><span class="lineno"> 2142</span>  messages);</div> |
| <div class="line"><a name="l02143"></a><span class="lineno"> 2143</span> }</div> |
| <div class="line"><a name="l02144"></a><span class="lineno"> 2144</span>  </div> |
| <div class="line"><a name="l02145"></a><span class="lineno"> 2145</span> <span class="keywordtype">bool</span> NetworkImpl::GetShapeInferenceMethod()</div> |
| <div class="line"><a name="l02146"></a><span class="lineno"> 2146</span> {</div> |
| <div class="line"><a name="l02147"></a><span class="lineno"> 2147</span>  <span class="keywordtype">bool</span> shapeInferenceMethod = <span class="keyword">false</span>;</div> |
| <div class="line"><a name="l02148"></a><span class="lineno"> 2148</span>  </div> |
| <div class="line"><a name="l02149"></a><span class="lineno"> 2149</span>  <a class="code" href="namespacearmnn.html#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="l02150"></a><span class="lineno"> 2150</span>  {</div> |
| <div class="line"><a name="l02151"></a><span class="lineno"> 2151</span>  <span class="keywordflow">if</span> (name == <span class="stringliteral">"InferAndValidate"</span>)</div> |
| <div class="line"><a name="l02152"></a><span class="lineno"> 2152</span>  {</div> |
| <div class="line"><a name="l02153"></a><span class="lineno"> 2153</span>  shapeInferenceMethod |= value.AsBool();</div> |
| <div class="line"><a name="l02154"></a><span class="lineno"> 2154</span>  }</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>  <span class="keywordflow">return</span> shapeInferenceMethod;</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>  </div> |
| <div class="line"><a name="l02159"></a><span class="lineno"> 2159</span> <span class="keywordtype">bool</span> NetworkImpl::GetAllowExpandedDims()</div> |
| <div class="line"><a name="l02160"></a><span class="lineno"> 2160</span> {</div> |
| <div class="line"><a name="l02161"></a><span class="lineno"> 2161</span>  <span class="keywordtype">bool</span> allowExpandedDims = <span class="keyword">false</span>;</div> |
| <div class="line"><a name="l02162"></a><span class="lineno"> 2162</span>  </div> |
| <div class="line"><a name="l02163"></a><span class="lineno"> 2163</span>  <a class="code" href="namespacearmnn.html#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="l02164"></a><span class="lineno"> 2164</span>  {</div> |
| <div class="line"><a name="l02165"></a><span class="lineno"> 2165</span>  <span class="keywordflow">if</span> (name == <span class="stringliteral">"AllowExpandedDims"</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"> 2167</span>  allowExpandedDims |= value.AsBool();</div> |
| <div class="line"><a name="l02168"></a><span class="lineno"> 2168</span>  }</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> allowExpandedDims;</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.html#a1ba03515c88a4c042bffa446d306caf0"> 2173</a></span> <a class="code" href="classarmnn_1_1_network_impl.html#a1ba03515c88a4c042bffa446d306caf0">NetworkImpl::NetworkImpl</a>(<span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a4de71c3661093e5c4ae7775114f43413">NetworkOptions</a>& networkOptions)</div> |
| <div class="line"><a name="l02174"></a><span class="lineno"> 2174</span> : m_NetworkOptions(networkOptions),</div> |
| <div class="line"><a name="l02175"></a><span class="lineno"> 2175</span>  m_Graph(<a class="code" href="namespacestd.html">std</a>::make_unique<<a class="code" href="classarmnn_1_1_graph.html">Graph</a>>(GetShapeInferenceMethod(), GetAllowExpandedDims()))</div> |
| <div class="line"><a name="l02176"></a><span class="lineno"> 2176</span> {}</div> |
| <div class="line"><a name="l02177"></a><span class="lineno"> 2177</span>  </div> |
| <div class="line"><a name="l02178"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#ad443897d51b291c83d81d809af07f4e0"> 2178</a></span> <a class="code" href="classarmnn_1_1_network_impl.html#ad443897d51b291c83d81d809af07f4e0">NetworkImpl::~NetworkImpl</a>()</div> |
| <div class="line"><a name="l02179"></a><span class="lineno"> 2179</span> {</div> |
| <div class="line"><a name="l02180"></a><span class="lineno"> 2180</span> }</div> |
| <div class="line"><a name="l02181"></a><span class="lineno"> 2181</span>  </div> |
| <div class="line"><a name="l02182"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#aff3fde909d22ed157046682e70129259"> 2182</a></span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> <a class="code" href="classarmnn_1_1_network_impl.html#aff3fde909d22ed157046682e70129259">NetworkImpl::PrintGraph</a>()</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>  m_Graph->Print();</div> |
| <div class="line"><a name="l02185"></a><span class="lineno"> 2185</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">Status::Success</a>;</div> |
| <div class="line"><a name="l02186"></a><span class="lineno"> 2186</span> }</div> |
| <div class="line"><a name="l02187"></a><span class="lineno"> 2187</span>  </div> |
| <div class="line"><a name="l02188"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#aa6c1c42ea44777302e87ce0fad5ac510"> 2188</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#aa6c1c42ea44777302e87ce0fad5ac510">NetworkImpl::AddInputLayer</a>(<a class="code" href="namespacearmnn.html#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="l02189"></a><span class="lineno"> 2189</span> {</div> |
| <div class="line"><a name="l02190"></a><span class="lineno"> 2190</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_input_layer.html">InputLayer</a>>(id, name);</div> |
| <div class="line"><a name="l02191"></a><span class="lineno"> 2191</span> }</div> |
| <div class="line"><a name="l02192"></a><span class="lineno"> 2192</span>  </div> |
| <div class="line"><a name="l02193"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a9a9bcc00ae3d96343c93b437d6f77088"> 2193</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a9a9bcc00ae3d96343c93b437d6f77088">NetworkImpl::AddBatchToSpaceNdLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html">BatchToSpaceNdDescriptor</a>& batchToSpaceNdDescriptor,</div> |
| <div class="line"><a name="l02194"></a><span class="lineno"> 2194</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02195"></a><span class="lineno"> 2195</span> {</div> |
| <div class="line"><a name="l02196"></a><span class="lineno"> 2196</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_batch_to_space_nd_layer.html">BatchToSpaceNdLayer</a>>(batchToSpaceNdDescriptor, name);</div> |
| <div class="line"><a name="l02197"></a><span class="lineno"> 2197</span> }</div> |
| <div class="line"><a name="l02198"></a><span class="lineno"> 2198</span>  </div> |
| <div class="line"><a name="l02199"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a72f7f58c37d9d856fcb648b5fa68cf59"> 2199</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a72f7f58c37d9d856fcb648b5fa68cf59">NetworkImpl::AddCastLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02200"></a><span class="lineno"> 2200</span> {</div> |
| <div class="line"><a name="l02201"></a><span class="lineno"> 2201</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_cast_layer.html">CastLayer</a>>(name);</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.html#a5c58d2b496d24e637f613af857aa3c3d"> 2203</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a5c58d2b496d24e637f613af857aa3c3d">NetworkImpl::AddChannelShuffleLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.html">ChannelShuffleDescriptor</a>& channelShuffleDescriptor,</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_channel_shuffle_layer.html">ChannelShuffleLayer</a>>(channelShuffleDescriptor, 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.html#ac7dca3e9f2ab2f2c64b42fc59a67188a"> 2209</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#ac7dca3e9f2ab2f2c64b42fc59a67188a">NetworkImpl::AddComparisonLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_comparison_descriptor.html">ComparisonDescriptor</a>& comparisonDescriptor,</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_comparison_layer.html">ComparisonLayer</a>>(comparisonDescriptor, 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.html#aab976306ba3424cbc0c7ea33417d718d"> 2215</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#aab976306ba3424cbc0c7ea33417d718d">NetworkImpl::AddElementwiseBinaryLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_binary_descriptor.html">ElementwiseBinaryDescriptor</a>& elementwiseBinaryDesc,</div> |
| <div class="line"><a name="l02216"></a><span class="lineno"> 2216</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02217"></a><span class="lineno"> 2217</span> {</div> |
| <div class="line"><a name="l02218"></a><span class="lineno"> 2218</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_elementwise_binary_layer.html">ElementwiseBinaryLayer</a>>(elementwiseBinaryDesc, name);</div> |
| <div class="line"><a name="l02219"></a><span class="lineno"> 2219</span> }</div> |
| <div class="line"><a name="l02220"></a><span class="lineno"> 2220</span>  </div> |
| <div class="line"><a name="l02221"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a095a9b700dc857edc23c5d3bf088919f"> 2221</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a095a9b700dc857edc23c5d3bf088919f">NetworkImpl::AddElementwiseUnaryLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.html">ElementwiseUnaryDescriptor</a>& elementwiseUnaryDescriptor,</div> |
| <div class="line"><a name="l02222"></a><span class="lineno"> 2222</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* 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>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_elementwise_unary_layer.html">ElementwiseUnaryLayer</a>>(elementwiseUnaryDescriptor, name);</div> |
| <div class="line"><a name="l02225"></a><span class="lineno"> 2225</span> }</div> |
| <div class="line"><a name="l02226"></a><span class="lineno"> 2226</span>  </div> |
| <div class="line"><a name="l02227"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#afc94c35c0bbe852a60046bf2e756b2e0"> 2227</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#afc94c35c0bbe852a60046bf2e756b2e0">NetworkImpl::AddFillLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fill_descriptor.html">FillDescriptor</a>& fillDescriptor,</div> |
| <div class="line"><a name="l02228"></a><span class="lineno"> 2228</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02229"></a><span class="lineno"> 2229</span> {</div> |
| <div class="line"><a name="l02230"></a><span class="lineno"> 2230</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_fill_layer.html">FillLayer</a>>(fillDescriptor, 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>  </div> |
| <div class="line"><a name="l02233"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a471991a84030eb3ae601da2bee757870"> 2233</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a471991a84030eb3ae601da2bee757870">NetworkImpl::AddFullyConnectedLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fully_connected_descriptor.html">FullyConnectedDescriptor</a>& fullyConnectedDescriptor,</div> |
| <div class="line"><a name="l02234"></a><span class="lineno"> 2234</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02235"></a><span class="lineno"> 2235</span> {</div> |
| <div class="line"><a name="l02236"></a><span class="lineno"> 2236</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_fully_connected_layer.html">FullyConnectedLayer</a>>(fullyConnectedDescriptor, name);</div> |
| <div class="line"><a name="l02237"></a><span class="lineno"> 2237</span> }</div> |
| <div class="line"><a name="l02238"></a><span class="lineno"> 2238</span>  </div> |
| <div class="line"><a name="l02239"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a08f9f3cdeb77b6a0c615e8fa48f0ee94"> 2239</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a08f9f3cdeb77b6a0c615e8fa48f0ee94">NetworkImpl::AddFusedLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fused_descriptor.html">FusedDescriptor</a>& fusedDescriptor,</div> |
| <div class="line"><a name="l02240"></a><span class="lineno"> 2240</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02241"></a><span class="lineno"> 2241</span> {</div> |
| <div class="line"><a name="l02242"></a><span class="lineno"> 2242</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_fused_layer.html">FusedLayer</a>>(fusedDescriptor, name);</div> |
| <div class="line"><a name="l02243"></a><span class="lineno"> 2243</span> }</div> |
| <div class="line"><a name="l02244"></a><span class="lineno"> 2244</span>  </div> |
| <div class="line"><a name="l02245"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#aea1059833739d3dccebb3a03ec35a1e6"> 2245</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#aea1059833739d3dccebb3a03ec35a1e6">NetworkImpl::AddConcatLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_origins_descriptor.html">ConcatDescriptor</a>& concatDescriptor,</div> |
| <div class="line"><a name="l02246"></a><span class="lineno"> 2246</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02247"></a><span class="lineno"> 2247</span> {</div> |
| <div class="line"><a name="l02248"></a><span class="lineno"> 2248</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_concat_layer.html">ConcatLayer</a>>(concatDescriptor, name);</div> |
| <div class="line"><a name="l02249"></a><span class="lineno"> 2249</span> }</div> |
| <div class="line"><a name="l02250"></a><span class="lineno"> 2250</span>  </div> |
| <div class="line"><a name="l02251"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a383e74ef080d4a81b8b371be4b840248"> 2251</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a383e74ef080d4a81b8b371be4b840248">NetworkImpl::AddConvolution2dLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.html">Convolution2dDescriptor</a>& convolution2dDescriptor,</div> |
| <div class="line"><a name="l02252"></a><span class="lineno"> 2252</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</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> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_convolution2d_layer.html">Convolution2dLayer</a>>(convolution2dDescriptor, name);</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.html#a2090bf6670b73c69309ed592068aa3af"> 2257</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a2090bf6670b73c69309ed592068aa3af">NetworkImpl::AddConvertFp16ToFp32Layer</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_convert_fp16_to_fp32_layer.html">ConvertFp16ToFp32Layer</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.html#ab71c4df72f6587aea671acaacd6a0d9a"> 2262</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#ab71c4df72f6587aea671acaacd6a0d9a">NetworkImpl::AddConvertFp32ToFp16Layer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02263"></a><span class="lineno"> 2263</span> {</div> |
| <div class="line"><a name="l02264"></a><span class="lineno"> 2264</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_convert_fp32_to_fp16_layer.html">ConvertFp32ToFp16Layer</a>>(name);</div> |
| <div class="line"><a name="l02265"></a><span class="lineno"> 2265</span> }</div> |
| <div class="line"><a name="l02266"></a><span class="lineno"> 2266</span>  </div> |
| <div class="line"><a name="l02267"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a43de8213707de0e76d80a32cd4b9b482"> 2267</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a43de8213707de0e76d80a32cd4b9b482">NetworkImpl::AddConvolution3dLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution3d_descriptor.html">Convolution3dDescriptor</a>& convolution3dDescriptor,</div> |
| <div class="line"><a name="l02268"></a><span class="lineno"> 2268</span>  <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_convolution3d_layer.html">Convolution3dLayer</a>>(convolution3dDescriptor, 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.html#af1853466264ac187607c96b501a74e2b"> 2273</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#af1853466264ac187607c96b501a74e2b">NetworkImpl::AddDepthToSpaceLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html">DepthToSpaceDescriptor</a>& depthToSpaceDescriptor,</div> |
| <div class="line"><a name="l02274"></a><span class="lineno"> 2274</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02275"></a><span class="lineno"> 2275</span> {</div> |
| <div class="line"><a name="l02276"></a><span class="lineno"> 2276</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_depth_to_space_layer.html">DepthToSpaceLayer</a>>(depthToSpaceDescriptor, name);</div> |
| <div class="line"><a name="l02277"></a><span class="lineno"> 2277</span> }</div> |
| <div class="line"><a name="l02278"></a><span class="lineno"> 2278</span>  </div> |
| <div class="line"><a name="l02279"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#ac6771c8752811fcfa91b3f0dee748144"> 2279</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#ac6771c8752811fcfa91b3f0dee748144">NetworkImpl::AddDepthwiseConvolution2dLayer</a>(</div> |
| <div class="line"><a name="l02280"></a><span class="lineno"> 2280</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">DepthwiseConvolution2dDescriptor</a>& convolution2dDescriptor,</div> |
| <div class="line"><a name="l02281"></a><span class="lineno"> 2281</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* 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>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_depthwise_convolution2d_layer.html">DepthwiseConvolution2dLayer</a>>(convolution2dDescriptor, name);</div> |
| <div class="line"><a name="l02284"></a><span class="lineno"> 2284</span> }</div> |
| <div class="line"><a name="l02285"></a><span class="lineno"> 2285</span>  </div> |
| <div class="line"><a name="l02286"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#ac1134a94265293ea7347180260f787d2"> 2286</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#ac1134a94265293ea7347180260f787d2">NetworkImpl::AddDetectionPostProcessLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.html">armnn::DetectionPostProcessDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l02287"></a><span class="lineno"> 2287</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>& anchors, <span class="keyword">const</span> <span class="keywordtype">char</span>* 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>  <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.html">DetectionPostProcessLayer</a>>(descriptor, name);</div> |
| <div class="line"><a name="l02290"></a><span class="lineno"> 2290</span>  </div> |
| <div class="line"><a name="l02291"></a><span class="lineno"> 2291</span>  layer-><a class="code" href="classarmnn_1_1_detection_post_process_layer.html#a6dc8f4e1c0a2109b2a8412251c2cf7b0">m_Anchors</a> = std::make_shared<ScopedTensorHandle>(anchors);</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> layer;</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.html#a11f49d84f0cfd8df65f4d5206cd43b6d"> 2296</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a11f49d84f0cfd8df65f4d5206cd43b6d">NetworkImpl::AddPermuteLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_permute_descriptor.html">PermuteDescriptor</a>& permuteDescriptor,</div> |
| <div class="line"><a name="l02297"></a><span class="lineno"> 2297</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02298"></a><span class="lineno"> 2298</span> {</div> |
| <div class="line"><a name="l02299"></a><span class="lineno"> 2299</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_permute_layer.html">PermuteLayer</a>>(permuteDescriptor, name);</div> |
| <div class="line"><a name="l02300"></a><span class="lineno"> 2300</span> }</div> |
| <div class="line"><a name="l02301"></a><span class="lineno"> 2301</span>  </div> |
| <div class="line"><a name="l02302"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#ae913b4351b7027f37eb5657dd7867733"> 2302</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#ae913b4351b7027f37eb5657dd7867733">NetworkImpl::AddPooling2dLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pooling2d_descriptor.html">Pooling2dDescriptor</a>& pooling2dDescriptor,</div> |
| <div class="line"><a name="l02303"></a><span class="lineno"> 2303</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02304"></a><span class="lineno"> 2304</span> {</div> |
| <div class="line"><a name="l02305"></a><span class="lineno"> 2305</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_pooling2d_layer.html">Pooling2dLayer</a>>(pooling2dDescriptor, name);</div> |
| <div class="line"><a name="l02306"></a><span class="lineno"> 2306</span> }</div> |
| <div class="line"><a name="l02307"></a><span class="lineno"> 2307</span>  </div> |
| <div class="line"><a name="l02308"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#aee282f8e3379d3f5bed1032d20884248"> 2308</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#aee282f8e3379d3f5bed1032d20884248">NetworkImpl::AddPooling3dLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pooling3d_descriptor.html">Pooling3dDescriptor</a>& pooling3dDescriptor,</div> |
| <div class="line"><a name="l02309"></a><span class="lineno"> 2309</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02310"></a><span class="lineno"> 2310</span> {</div> |
| <div class="line"><a name="l02311"></a><span class="lineno"> 2311</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_pooling3d_layer.html">Pooling3dLayer</a>>(pooling3dDescriptor, name);</div> |
| <div class="line"><a name="l02312"></a><span class="lineno"> 2312</span> }</div> |
| <div class="line"><a name="l02313"></a><span class="lineno"> 2313</span>  </div> |
| <div class="line"><a name="l02314"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#aa51350bdd4976f3dd5a4e9d00a906b2c"> 2314</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#aa51350bdd4976f3dd5a4e9d00a906b2c">NetworkImpl::AddActivationLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_descriptor.html">ActivationDescriptor</a>& activationDescriptor,</div> |
| <div class="line"><a name="l02315"></a><span class="lineno"> 2315</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02316"></a><span class="lineno"> 2316</span> {</div> |
| <div class="line"><a name="l02317"></a><span class="lineno"> 2317</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_activation_layer.html">ActivationLayer</a>>(activationDescriptor, name);</div> |
| <div class="line"><a name="l02318"></a><span class="lineno"> 2318</span> }</div> |
| <div class="line"><a name="l02319"></a><span class="lineno"> 2319</span>  </div> |
| <div class="line"><a name="l02320"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#adc8c1c505bca8233fe238b3b7fb80200"> 2320</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#adc8c1c505bca8233fe238b3b7fb80200">NetworkImpl::AddArgMinMaxLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.html">ArgMinMaxDescriptor</a>& argMinMaxDescriptor,</div> |
| <div class="line"><a name="l02321"></a><span class="lineno"> 2321</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02322"></a><span class="lineno"> 2322</span> {</div> |
| <div class="line"><a name="l02323"></a><span class="lineno"> 2323</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_arg_min_max_layer.html">ArgMinMaxLayer</a>>(argMinMaxDescriptor, 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>  </div> |
| <div class="line"><a name="l02326"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a6c5376053e1f875776d7bc36fd0b7d45"> 2326</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a6c5376053e1f875776d7bc36fd0b7d45">NetworkImpl::AddNormalizationLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_normalization_descriptor.html">NormalizationDescriptor</a>&</div> |
| <div class="line"><a name="l02327"></a><span class="lineno"> 2327</span> normalizationDescriptor,</div> |
| <div class="line"><a name="l02328"></a><span class="lineno"> 2328</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02329"></a><span class="lineno"> 2329</span> {</div> |
| <div class="line"><a name="l02330"></a><span class="lineno"> 2330</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_normalization_layer.html">NormalizationLayer</a>>(normalizationDescriptor, 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>  </div> |
| <div class="line"><a name="l02333"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a8de6b047fcaff95df48dca683e1f3aa4"> 2333</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a8de6b047fcaff95df48dca683e1f3aa4">NetworkImpl::AddSliceLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_slice_descriptor.html">SliceDescriptor</a>& sliceDescriptor, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02334"></a><span class="lineno"> 2334</span> {</div> |
| <div class="line"><a name="l02335"></a><span class="lineno"> 2335</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_slice_layer.html">SliceLayer</a>>(sliceDescriptor, name);</div> |
| <div class="line"><a name="l02336"></a><span class="lineno"> 2336</span> }</div> |
| <div class="line"><a name="l02337"></a><span class="lineno"> 2337</span>  </div> |
| <div class="line"><a name="l02338"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a30528a3bd85a0dba158bd14e252bd68a"> 2338</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a30528a3bd85a0dba158bd14e252bd68a">NetworkImpl::AddSoftmaxLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.html">SoftmaxDescriptor</a>& softmaxDescriptor,</div> |
| <div class="line"><a name="l02339"></a><span class="lineno"> 2339</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02340"></a><span class="lineno"> 2340</span> {</div> |
| <div class="line"><a name="l02341"></a><span class="lineno"> 2341</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_softmax_layer.html">SoftmaxLayer</a>>(softmaxDescriptor, name);</div> |
| <div class="line"><a name="l02342"></a><span class="lineno"> 2342</span> }</div> |
| <div class="line"><a name="l02343"></a><span class="lineno"> 2343</span>  </div> |
| <div class="line"><a name="l02344"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a6f6d81d8a4f1f85f3616e8306760061c"> 2344</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a6f6d81d8a4f1f85f3616e8306760061c">NetworkImpl::AddSplitterLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_views_descriptor.html">ViewsDescriptor</a>& splitterDescriptor,</div> |
| <div class="line"><a name="l02345"></a><span class="lineno"> 2345</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02346"></a><span class="lineno"> 2346</span> {</div> |
| <div class="line"><a name="l02347"></a><span class="lineno"> 2347</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_splitter_layer.html">SplitterLayer</a>>(splitterDescriptor, name);</div> |
| <div class="line"><a name="l02348"></a><span class="lineno"> 2348</span> }</div> |
| <div class="line"><a name="l02349"></a><span class="lineno"> 2349</span>  </div> |
| <div class="line"><a name="l02350"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a57590d7777211673d2052f702f0b07a1"> 2350</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a57590d7777211673d2052f702f0b07a1">NetworkImpl::AddMaximumLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02351"></a><span class="lineno"> 2351</span> {</div> |
| <div class="line"><a name="l02352"></a><span class="lineno"> 2352</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_maximum_layer.html">MaximumLayer</a>>(name);</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>  </div> |
| <div class="line"><a name="l02355"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a4bfd8dee1a0315b651e977c672c0847c"> 2355</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a4bfd8dee1a0315b651e977c672c0847c">NetworkImpl::AddMinimumLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</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">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_minimum_layer.html">MinimumLayer</a>>(name);</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>  </div> |
| <div class="line"><a name="l02360"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a39f1b38d89c4de186742eafcbb3b1319"> 2360</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a39f1b38d89c4de186742eafcbb3b1319">NetworkImpl::AddAdditionLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</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">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_addition_layer.html">AdditionLayer</a>>(name);</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>  </div> |
| <div class="line"><a name="l02365"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#abb59f6ba9988dae88e0f48e68d87fc32"> 2365</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#abb59f6ba9988dae88e0f48e68d87fc32">NetworkImpl::AddMultiplicationLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02366"></a><span class="lineno"> 2366</span> {</div> |
| <div class="line"><a name="l02367"></a><span class="lineno"> 2367</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_multiplication_layer.html">MultiplicationLayer</a>>(name);</div> |
| <div class="line"><a name="l02368"></a><span class="lineno"> 2368</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"><a class="line" href="classarmnn_1_1_network_impl.html#af5790069aa11fd1c5bb2e17cecb06528"> 2370</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#af5790069aa11fd1c5bb2e17cecb06528">NetworkImpl::AddOutputLayer</a>(<a class="code" href="namespacearmnn.html#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="l02371"></a><span class="lineno"> 2371</span> {</div> |
| <div class="line"><a name="l02372"></a><span class="lineno"> 2372</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_output_layer.html">OutputLayer</a>>(id, name);</div> |
| <div class="line"><a name="l02373"></a><span class="lineno"> 2373</span> }</div> |
| <div class="line"><a name="l02374"></a><span class="lineno"> 2374</span>  </div> |
| <div class="line"><a name="l02375"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a8f798e19187ac7ae6ae6153ee64ab645"> 2375</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a8f798e19187ac7ae6ae6153ee64ab645">NetworkImpl::AddBatchNormalizationLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.html">BatchNormalizationDescriptor</a>& desc,</div> |
| <div class="line"><a name="l02376"></a><span class="lineno"> 2376</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>& mean,</div> |
| <div class="line"><a name="l02377"></a><span class="lineno"> 2377</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>& variance,</div> |
| <div class="line"><a name="l02378"></a><span class="lineno"> 2378</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>& beta,</div> |
| <div class="line"><a name="l02379"></a><span class="lineno"> 2379</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>& gamma,</div> |
| <div class="line"><a name="l02380"></a><span class="lineno"> 2380</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02381"></a><span class="lineno"> 2381</span> {</div> |
| <div class="line"><a name="l02382"></a><span class="lineno"> 2382</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.html">BatchNormalizationLayer</a>>(desc, name);</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>  layer-><a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a2dfc280952c7939299c304fcbf855b97">m_Mean</a> = std::make_shared<ScopedTensorHandle>(mean);</div> |
| <div class="line"><a name="l02385"></a><span class="lineno"> 2385</span>  layer->m_Variance = std::make_shared<ScopedTensorHandle>(variance);</div> |
| <div class="line"><a name="l02386"></a><span class="lineno"> 2386</span>  layer->m_Beta = std::make_shared<ScopedTensorHandle>(beta);</div> |
| <div class="line"><a name="l02387"></a><span class="lineno"> 2387</span>  layer->m_Gamma = std::make_shared<ScopedTensorHandle>(gamma);</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>  <span class="keywordflow">return</span> layer;</div> |
| <div class="line"><a name="l02390"></a><span class="lineno"> 2390</span> }</div> |
| <div class="line"><a name="l02391"></a><span class="lineno"> 2391</span>  </div> |
| <div class="line"><a name="l02392"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a25563024ec66627ee83727244a53e944"> 2392</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a25563024ec66627ee83727244a53e944">NetworkImpl::AddRankLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02393"></a><span class="lineno"> 2393</span> {</div> |
| <div class="line"><a name="l02394"></a><span class="lineno"> 2394</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_rank_layer.html">RankLayer</a>>(name);</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"><a class="line" href="classarmnn_1_1_network_impl.html#ae0cfae1ea51669892608a1a060d24fa0"> 2397</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#ae0cfae1ea51669892608a1a060d24fa0">NetworkImpl::AddReduceLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reduce_descriptor.html">ReduceDescriptor</a>& reduceDescriptor,</div> |
| <div class="line"><a name="l02398"></a><span class="lineno"> 2398</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02399"></a><span class="lineno"> 2399</span> {</div> |
| <div class="line"><a name="l02400"></a><span class="lineno"> 2400</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_reduce_layer.html">ReduceLayer</a>>(reduceDescriptor, name);</div> |
| <div class="line"><a name="l02401"></a><span class="lineno"> 2401</span> }</div> |
| <div class="line"><a name="l02402"></a><span class="lineno"> 2402</span>  </div> |
| <div class="line"><a name="l02403"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#ad97411f1fcb2c30c212483d8c673506f"> 2403</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#ad97411f1fcb2c30c212483d8c673506f">NetworkImpl::AddResizeLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_resize_descriptor.html">ResizeDescriptor</a>& resizeDescriptor, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</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">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_resize_layer.html">ResizeLayer</a>>(resizeDescriptor, name);</div> |
| <div class="line"><a name="l02406"></a><span class="lineno"> 2406</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"><a class="line" href="classarmnn_1_1_network_impl.html#af9dd4b5273829b846ab83b3ae7f3defc"> 2408</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#af9dd4b5273829b846ab83b3ae7f3defc">NetworkImpl::AddShapeLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02409"></a><span class="lineno"> 2409</span> {</div> |
| <div class="line"><a name="l02410"></a><span class="lineno"> 2410</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_shape_layer.html">ShapeLayer</a>>(name);</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"><a class="line" href="classarmnn_1_1_network_impl.html#abd61d3e7ab67551c75bc219bbc4baeb5"> 2413</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#abd61d3e7ab67551c75bc219bbc4baeb5">NetworkImpl::AddInstanceNormalizationLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.html">InstanceNormalizationDescriptor</a>& desc,</div> |
| <div class="line"><a name="l02414"></a><span class="lineno"> 2414</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02415"></a><span class="lineno"> 2415</span> {</div> |
| <div class="line"><a name="l02416"></a><span class="lineno"> 2416</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_instance_normalization_layer.html">InstanceNormalizationLayer</a>>(desc, name);</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>  </div> |
| <div class="line"><a name="l02419"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#aaff51346dadec2c1430abf007fed4cc9"> 2419</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#aaff51346dadec2c1430abf007fed4cc9">NetworkImpl::AddL2NormalizationLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_l2_normalization_descriptor.html">L2NormalizationDescriptor</a>& desc,</div> |
| <div class="line"><a name="l02420"></a><span class="lineno"> 2420</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02421"></a><span class="lineno"> 2421</span> {</div> |
| <div class="line"><a name="l02422"></a><span class="lineno"> 2422</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_l2_normalization_layer.html">L2NormalizationLayer</a>>(desc, name);</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>  </div> |
| <div class="line"><a name="l02425"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a83b33973ca12078166b2436b313627b9"> 2425</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a83b33973ca12078166b2436b313627b9">NetworkImpl::AddLogSoftmaxLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.html">LogSoftmaxDescriptor</a>& desc,</div> |
| <div class="line"><a name="l02426"></a><span class="lineno"> 2426</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02427"></a><span class="lineno"> 2427</span> {</div> |
| <div class="line"><a name="l02428"></a><span class="lineno"> 2428</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_log_softmax_layer.html">LogSoftmaxLayer</a>>(desc, name);</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>  </div> |
| <div class="line"><a name="l02431"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a1aa567f46c30960851c02847dc7b4215"> 2431</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a1aa567f46c30960851c02847dc7b4215">NetworkImpl::AddConstantLayer</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>& input, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</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="keyword">auto</span> layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_constant_layer.html">ConstantLayer</a>>(name);</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>  layer-><a class="code" href="classarmnn_1_1_constant_layer.html#ad0c4b8ee0efd8f9336571cbeab8a53fe">m_LayerOutput</a> = std::make_shared<ScopedTensorHandle>(input);</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">return</span> layer;</div> |
| <div class="line"><a name="l02438"></a><span class="lineno"> 2438</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"><a class="line" href="classarmnn_1_1_network_impl.html#a8a3380be13fba749fc4208214b049347"> 2440</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a8a3380be13fba749fc4208214b049347">NetworkImpl::AddReshapeLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reshape_descriptor.html">ReshapeDescriptor</a>& reshapeDescriptor,</div> |
| <div class="line"><a name="l02441"></a><span class="lineno"> 2441</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</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>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_reshape_layer.html">ReshapeLayer</a>>(reshapeDescriptor, name);</div> |
| <div class="line"><a name="l02444"></a><span class="lineno"> 2444</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"><a class="line" href="classarmnn_1_1_network_impl.html#a72b9d30e9d555bb5c35460b62faedf0d"> 2446</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a72b9d30e9d555bb5c35460b62faedf0d">NetworkImpl::AddSpaceToBatchNdLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html">SpaceToBatchNdDescriptor</a>& spaceToBatchNdDescriptor,</div> |
| <div class="line"><a name="l02447"></a><span class="lineno"> 2447</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</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">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_space_to_batch_nd_layer.html">SpaceToBatchNdLayer</a>>(spaceToBatchNdDescriptor, name);</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>  </div> |
| <div class="line"><a name="l02452"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a19bad0cc50526ca9f4f84a688812cdf5"> 2452</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a19bad0cc50526ca9f4f84a688812cdf5">NetworkImpl::AddSpaceToDepthLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html">SpaceToDepthDescriptor</a>& spaceToDepthDescriptor,</div> |
| <div class="line"><a name="l02453"></a><span class="lineno"> 2453</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02454"></a><span class="lineno"> 2454</span> {</div> |
| <div class="line"><a name="l02455"></a><span class="lineno"> 2455</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_space_to_depth_layer.html">SpaceToDepthLayer</a>>(spaceToDepthDescriptor, name);</div> |
| <div class="line"><a name="l02456"></a><span class="lineno"> 2456</span> }</div> |
| <div class="line"><a name="l02457"></a><span class="lineno"> 2457</span>  </div> |
| <div class="line"><a name="l02458"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a435ea88480b8645026dd45fd692663a1"> 2458</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a435ea88480b8645026dd45fd692663a1">NetworkImpl::AddFloorLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02459"></a><span class="lineno"> 2459</span> {</div> |
| <div class="line"><a name="l02460"></a><span class="lineno"> 2460</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_floor_layer.html">FloorLayer</a>>(name);</div> |
| <div class="line"><a name="l02461"></a><span class="lineno"> 2461</span> }</div> |
| <div class="line"><a name="l02462"></a><span class="lineno"> 2462</span>  </div> |
| <div class="line"><a name="l02463"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a0a2fdd4f442952c97a8f24de6700473a"> 2463</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a0a2fdd4f442952c97a8f24de6700473a">NetworkImpl::AddLstmLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.html">LstmDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l02464"></a><span class="lineno"> 2464</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params.html">LstmInputParams</a>& params,</div> |
| <div class="line"><a name="l02465"></a><span class="lineno"> 2465</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02466"></a><span class="lineno"> 2466</span> {</div> |
| <div class="line"><a name="l02467"></a><span class="lineno"> 2467</span>  <span class="keyword">const</span> <span class="keyword">auto</span> layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_lstm_layer.html">LstmLayer</a>>(descriptor, name);</div> |
| <div class="line"><a name="l02468"></a><span class="lineno"> 2468</span>  </div> |
| <div class="line"><a name="l02469"></a><span class="lineno"> 2469</span>  <span class="comment">//Lstm Basic Parameters</span></div> |
| <div class="line"><a name="l02470"></a><span class="lineno"> 2470</span>  layer-><a class="code" href="classarmnn_1_1_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> =</div> |
| <div class="line"><a name="l02471"></a><span class="lineno"> 2471</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a31da1ead6794dd64571afdd0b6efc771">m_InputToForgetWeights</a>));</div> |
| <div class="line"><a name="l02472"></a><span class="lineno"> 2472</span>  layer->m_BasicParameters.m_InputToCellWeights =</div> |
| <div class="line"><a name="l02473"></a><span class="lineno"> 2473</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a49e11acda22742cbaf6f1b259ead0d84">m_InputToCellWeights</a>));</div> |
| <div class="line"><a name="l02474"></a><span class="lineno"> 2474</span>  layer->m_BasicParameters.m_InputToOutputWeights =</div> |
| <div class="line"><a name="l02475"></a><span class="lineno"> 2475</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a6e30c7b3451da3ea9cf4259fb602e6e6">m_InputToOutputWeights</a>));</div> |
| <div class="line"><a name="l02476"></a><span class="lineno"> 2476</span>  layer->m_BasicParameters.m_RecurrentToForgetWeights =</div> |
| <div class="line"><a name="l02477"></a><span class="lineno"> 2477</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ae83131e16df1cace69395a5f99bc5ecb">m_RecurrentToForgetWeights</a>));</div> |
| <div class="line"><a name="l02478"></a><span class="lineno"> 2478</span>  layer->m_BasicParameters.m_RecurrentToCellWeights =</div> |
| <div class="line"><a name="l02479"></a><span class="lineno"> 2479</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a1759754ccb88ecc9af44f3aae6e244ee">m_RecurrentToCellWeights</a>));</div> |
| <div class="line"><a name="l02480"></a><span class="lineno"> 2480</span>  layer->m_BasicParameters.m_RecurrentToOutputWeights =</div> |
| <div class="line"><a name="l02481"></a><span class="lineno"> 2481</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a56b81ca8ba4b4937e0787e4951f043fc">m_RecurrentToOutputWeights</a>));</div> |
| <div class="line"><a name="l02482"></a><span class="lineno"> 2482</span>  layer->m_BasicParameters.m_ForgetGateBias =</div> |
| <div class="line"><a name="l02483"></a><span class="lineno"> 2483</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ace7a1f1f1041b412b7d8ef82b95ff352">m_ForgetGateBias</a>));</div> |
| <div class="line"><a name="l02484"></a><span class="lineno"> 2484</span>  layer->m_BasicParameters.m_CellBias =</div> |
| <div class="line"><a name="l02485"></a><span class="lineno"> 2485</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a4a9d678146f572808a361dbdc5489f38">m_CellBias</a>));</div> |
| <div class="line"><a name="l02486"></a><span class="lineno"> 2486</span>  layer->m_BasicParameters.m_OutputGateBias =</div> |
| <div class="line"><a name="l02487"></a><span class="lineno"> 2487</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a8c0f6d48705f40c5590dde09be262222">m_OutputGateBias</a>));</div> |
| <div class="line"><a name="l02488"></a><span class="lineno"> 2488</span>  </div> |
| <div class="line"><a name="l02489"></a><span class="lineno"> 2489</span>  <span class="comment">//Lstm Cifg parameters</span></div> |
| <div class="line"><a name="l02490"></a><span class="lineno"> 2490</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div> |
| <div class="line"><a name="l02491"></a><span class="lineno"> 2491</span>  {</div> |
| <div class="line"><a name="l02492"></a><span class="lineno"> 2492</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#affcee5f4ab5994a21bee3b78b4e43de3">m_InputToInputWeights</a> == <span class="keyword">nullptr</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"> 2494</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Input To Input Weights cannot be NULL "</span></div> |
| <div class="line"><a name="l02495"></a><span class="lineno"> 2495</span>  <span class="stringliteral">"when CIFG is disabled."</span>);</div> |
| <div class="line"><a name="l02496"></a><span class="lineno"> 2496</span>  }</div> |
| <div class="line"><a name="l02497"></a><span class="lineno"> 2497</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a435d3651482bbfcc11263b4e4e0c900f">m_RecurrentToInputWeights</a> == <span class="keyword">nullptr</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"> 2499</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(</div> |
| <div class="line"><a name="l02500"></a><span class="lineno"> 2500</span>  <span class="stringliteral">"AddLstmLayer: Recurrent To Input Weights cannot be NULL "</span></div> |
| <div class="line"><a name="l02501"></a><span class="lineno"> 2501</span>  <span class="stringliteral">"when CIFG is disabled."</span>);</div> |
| <div class="line"><a name="l02502"></a><span class="lineno"> 2502</span>  }</div> |
| <div class="line"><a name="l02503"></a><span class="lineno"> 2503</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9e081a9b94defb30d1558dc912507e0e">m_InputGateBias</a> == <span class="keyword">nullptr</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"> 2505</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Input Gate Bias cannot be NULL "</span></div> |
| <div class="line"><a name="l02506"></a><span class="lineno"> 2506</span>  <span class="stringliteral">"when CIFG is disabled."</span>);</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>  layer->m_CifgParameters.m_InputToInputWeights =</div> |
| <div class="line"><a name="l02509"></a><span class="lineno"> 2509</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#affcee5f4ab5994a21bee3b78b4e43de3">m_InputToInputWeights</a>));</div> |
| <div class="line"><a name="l02510"></a><span class="lineno"> 2510</span>  layer->m_CifgParameters.m_RecurrentToInputWeights =</div> |
| <div class="line"><a name="l02511"></a><span class="lineno"> 2511</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a435d3651482bbfcc11263b4e4e0c900f">m_RecurrentToInputWeights</a>));</div> |
| <div class="line"><a name="l02512"></a><span class="lineno"> 2512</span>  layer->m_CifgParameters.m_InputGateBias =</div> |
| <div class="line"><a name="l02513"></a><span class="lineno"> 2513</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9e081a9b94defb30d1558dc912507e0e">m_InputGateBias</a>));</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"> 2516</span>  <span class="comment">//Lstm projection parameters</span></div> |
| <div class="line"><a name="l02517"></a><span class="lineno"> 2517</span>  <span class="keywordflow">if</span>(descriptor.m_ProjectionEnabled)</div> |
| <div class="line"><a name="l02518"></a><span class="lineno"> 2518</span>  {</div> |
| <div class="line"><a name="l02519"></a><span class="lineno"> 2519</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ab03e6e1514f74427916c892f473fe04c">m_ProjectionWeights</a> == <span class="keyword">nullptr</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"> 2521</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Projection Weights cannot be NULL "</span></div> |
| <div class="line"><a name="l02522"></a><span class="lineno"> 2522</span>  <span class="stringliteral">"when projection is enabled."</span>);</div> |
| <div class="line"><a name="l02523"></a><span class="lineno"> 2523</span>  }</div> |
| <div class="line"><a name="l02524"></a><span class="lineno"> 2524</span>  layer->m_ProjectionParameters.m_ProjectionWeights =</div> |
| <div class="line"><a name="l02525"></a><span class="lineno"> 2525</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ab03e6e1514f74427916c892f473fe04c">m_ProjectionWeights</a>));</div> |
| <div class="line"><a name="l02526"></a><span class="lineno"> 2526</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a44b0e6b16708df7f0d2bbab141688aaa">m_ProjectionBias</a> != <span class="keyword">nullptr</span>)</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>  layer->m_ProjectionParameters.m_ProjectionBias =</div> |
| <div class="line"><a name="l02529"></a><span class="lineno"> 2529</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a44b0e6b16708df7f0d2bbab141688aaa">m_ProjectionBias</a>));</div> |
| <div class="line"><a name="l02530"></a><span class="lineno"> 2530</span>  }</div> |
| <div class="line"><a name="l02531"></a><span class="lineno"> 2531</span>  }</div> |
| <div class="line"><a name="l02532"></a><span class="lineno"> 2532</span>  </div> |
| <div class="line"><a name="l02533"></a><span class="lineno"> 2533</span>  <span class="comment">//Lstm Peephole params</span></div> |
| <div class="line"><a name="l02534"></a><span class="lineno"> 2534</span>  <span class="keywordflow">if</span>(descriptor.m_PeepholeEnabled)</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.m_CifgEnabled)</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">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a484bafa2f8453a7c5a4a00b92a61b006">m_CellToInputWeights</a> == <span class="keyword">nullptr</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>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Cell To Input Weights cannot be NULL "</span></div> |
| <div class="line"><a name="l02541"></a><span class="lineno"> 2541</span>  <span class="stringliteral">"when Peephole is enabled and CIFG disabled."</span>);</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>  </div> |
| <div class="line"><a name="l02544"></a><span class="lineno"> 2544</span>  layer->m_PeepholeParameters.m_CellToInputWeights =</div> |
| <div class="line"><a name="l02545"></a><span class="lineno"> 2545</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a484bafa2f8453a7c5a4a00b92a61b006">m_CellToInputWeights</a>));</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>  </div> |
| <div class="line"><a name="l02548"></a><span class="lineno"> 2548</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a35b112e30c3eb153806a2a8c16d178e3">m_CellToForgetWeights</a> == <span class="keyword">nullptr</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">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Cell To Forget Weights cannot be NULL "</span></div> |
| <div class="line"><a name="l02551"></a><span class="lineno"> 2551</span>  <span class="stringliteral">"when Peephole is enabled."</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"> 2553</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#afe204ca375b74e9a72640c9227918d0a">m_CellToOutputWeights</a> == <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l02554"></a><span class="lineno"> 2554</span>  {</div> |
| <div class="line"><a name="l02555"></a><span class="lineno"> 2555</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Cell To Output Weights cannot be NULL "</span></div> |
| <div class="line"><a name="l02556"></a><span class="lineno"> 2556</span>  <span class="stringliteral">"when Peephole is enabled."</span>);</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"> 2559</span>  layer->m_PeepholeParameters.m_CellToForgetWeights =</div> |
| <div class="line"><a name="l02560"></a><span class="lineno"> 2560</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a35b112e30c3eb153806a2a8c16d178e3">m_CellToForgetWeights</a>));</div> |
| <div class="line"><a name="l02561"></a><span class="lineno"> 2561</span>  layer->m_PeepholeParameters.m_CellToOutputWeights =</div> |
| <div class="line"><a name="l02562"></a><span class="lineno"> 2562</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#afe204ca375b74e9a72640c9227918d0a">m_CellToOutputWeights</a>));</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>  <span class="comment">//Lstm Layer Normalization params</span></div> |
| <div class="line"><a name="l02566"></a><span class="lineno"> 2566</span>  <span class="keywordflow">if</span>(descriptor.m_LayerNormEnabled)</div> |
| <div class="line"><a name="l02567"></a><span class="lineno"> 2567</span>  {</div> |
| <div class="line"><a name="l02568"></a><span class="lineno"> 2568</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div> |
| <div class="line"><a name="l02569"></a><span class="lineno"> 2569</span>  {</div> |
| <div class="line"><a name="l02570"></a><span class="lineno"> 2570</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a0cd848f65ec31778d708852f0042fe37">m_InputLayerNormWeights</a> == <span class="keyword">nullptr</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"> 2572</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Input layer normalization weights cannot be NULL "</span></div> |
| <div class="line"><a name="l02573"></a><span class="lineno"> 2573</span>  <span class="stringliteral">"when layer normalization is enabled and CIFG disabled."</span>);</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>  layer->m_LayerNormParameters.m_InputLayerNormWeights =</div> |
| <div class="line"><a name="l02576"></a><span class="lineno"> 2576</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a0cd848f65ec31778d708852f0042fe37">m_InputLayerNormWeights</a>));</div> |
| <div class="line"><a name="l02577"></a><span class="lineno"> 2577</span>  }</div> |
| <div class="line"><a name="l02578"></a><span class="lineno"> 2578</span>  </div> |
| <div class="line"><a name="l02579"></a><span class="lineno"> 2579</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#af0f796fba1a2be9c56b4c9ee534577ee">m_ForgetLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l02580"></a><span class="lineno"> 2580</span>  {</div> |
| <div class="line"><a name="l02581"></a><span class="lineno"> 2581</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Forget layer normalization weights cannot be NULL "</span></div> |
| <div class="line"><a name="l02582"></a><span class="lineno"> 2582</span>  <span class="stringliteral">"when layer normalization is enabled."</span>);</div> |
| <div class="line"><a name="l02583"></a><span class="lineno"> 2583</span>  }</div> |
| <div class="line"><a name="l02584"></a><span class="lineno"> 2584</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ad0b8c32bb5381f4cc999093ba3b98b43">m_CellLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l02585"></a><span class="lineno"> 2585</span>  {</div> |
| <div class="line"><a name="l02586"></a><span class="lineno"> 2586</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Cell layer normalization weights cannot be NULL "</span></div> |
| <div class="line"><a name="l02587"></a><span class="lineno"> 2587</span>  <span class="stringliteral">"when layer normalization is enabled."</span>);</div> |
| <div class="line"><a name="l02588"></a><span class="lineno"> 2588</span>  }</div> |
| <div class="line"><a name="l02589"></a><span class="lineno"> 2589</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9b18daea2e9f42386055326fd016519a">m_OutputLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l02590"></a><span class="lineno"> 2590</span>  {</div> |
| <div class="line"><a name="l02591"></a><span class="lineno"> 2591</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Output layer normalization weights cannot be NULL "</span></div> |
| <div class="line"><a name="l02592"></a><span class="lineno"> 2592</span>  <span class="stringliteral">"when layer normalization is enabled."</span>);</div> |
| <div class="line"><a name="l02593"></a><span class="lineno"> 2593</span>  }</div> |
| <div class="line"><a name="l02594"></a><span class="lineno"> 2594</span>  layer->m_LayerNormParameters.m_ForgetLayerNormWeights =</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_lstm_input_params.html#af0f796fba1a2be9c56b4c9ee534577ee">m_ForgetLayerNormWeights</a>));</div> |
| <div class="line"><a name="l02596"></a><span class="lineno"> 2596</span>  layer->m_LayerNormParameters.m_CellLayerNormWeights =</div> |
| <div class="line"><a name="l02597"></a><span class="lineno"> 2597</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ad0b8c32bb5381f4cc999093ba3b98b43">m_CellLayerNormWeights</a>));</div> |
| <div class="line"><a name="l02598"></a><span class="lineno"> 2598</span>  layer->m_LayerNormParameters.m_OutputLayerNormWeights =</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_lstm_input_params.html#a9b18daea2e9f42386055326fd016519a">m_OutputLayerNormWeights</a>));</div> |
| <div class="line"><a name="l02600"></a><span class="lineno"> 2600</span>  }</div> |
| <div class="line"><a name="l02601"></a><span class="lineno"> 2601</span>  <span class="keywordflow">return</span> layer;</div> |
| <div class="line"><a name="l02602"></a><span class="lineno"> 2602</span> }</div> |
| <div class="line"><a name="l02603"></a><span class="lineno"> 2603</span>  </div> |
| <div class="line"><a name="l02604"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a0aeb4e528cf6ba4b7caca14a94fbcafe"> 2604</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a0aeb4e528cf6ba4b7caca14a94fbcafe">NetworkImpl::AddDivisionLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02605"></a><span class="lineno"> 2605</span> {</div> |
| <div class="line"><a name="l02606"></a><span class="lineno"> 2606</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_division_layer.html">DivisionLayer</a>>(name);</div> |
| <div class="line"><a name="l02607"></a><span class="lineno"> 2607</span> }</div> |
| <div class="line"><a name="l02608"></a><span class="lineno"> 2608</span>  </div> |
| <div class="line"><a name="l02609"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#af13795cdf49e63d8bc3cb409592cdb9d"> 2609</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#af13795cdf49e63d8bc3cb409592cdb9d">NetworkImpl::AddSubtractionLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02610"></a><span class="lineno"> 2610</span> {</div> |
| <div class="line"><a name="l02611"></a><span class="lineno"> 2611</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_subtraction_layer.html">SubtractionLayer</a>>(name);</div> |
| <div class="line"><a name="l02612"></a><span class="lineno"> 2612</span> }</div> |
| <div class="line"><a name="l02613"></a><span class="lineno"> 2613</span>  </div> |
| <div class="line"><a name="l02614"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#ad4726f9b7dd11db250d2a494a8a39494"> 2614</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#ad4726f9b7dd11db250d2a494a8a39494">NetworkImpl::AddMeanLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_mean_descriptor.html">MeanDescriptor</a>& meanDescriptor, <span class="keyword">const</span> <span class="keywordtype">char</span>* 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="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_mean_layer.html">MeanLayer</a>>(meanDescriptor,name);</div> |
| <div class="line"><a name="l02617"></a><span class="lineno"> 2617</span> }</div> |
| <div class="line"><a name="l02618"></a><span class="lineno"> 2618</span>  </div> |
| <div class="line"><a name="l02619"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a6e2df484ecc65bc82712590b96e04df4"> 2619</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a6e2df484ecc65bc82712590b96e04df4">NetworkImpl::AddPadLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pad_descriptor.html">PadDescriptor</a>& padDescriptor, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02620"></a><span class="lineno"> 2620</span> {</div> |
| <div class="line"><a name="l02621"></a><span class="lineno"> 2621</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_pad_layer.html">PadLayer</a>>(padDescriptor,name);</div> |
| <div class="line"><a name="l02622"></a><span class="lineno"> 2622</span> }</div> |
| <div class="line"><a name="l02623"></a><span class="lineno"> 2623</span>  </div> |
| <div class="line"><a name="l02624"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a0b426a3feffc76e66d73b5761806e899"> 2624</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a> *<a class="code" href="classarmnn_1_1_network_impl.html#a0b426a3feffc76e66d73b5761806e899">NetworkImpl::AddQuantizeLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span> *name)</div> |
| <div class="line"><a name="l02625"></a><span class="lineno"> 2625</span> {</div> |
| <div class="line"><a name="l02626"></a><span class="lineno"> 2626</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_quantize_layer.html">QuantizeLayer</a>>(name);</div> |
| <div class="line"><a name="l02627"></a><span class="lineno"> 2627</span> }</div> |
| <div class="line"><a name="l02628"></a><span class="lineno"> 2628</span>  </div> |
| <div class="line"><a name="l02629"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a357aca04172ed22fa32e5a69122b0fec"> 2629</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a357aca04172ed22fa32e5a69122b0fec">NetworkImpl::AddDequantizeLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02630"></a><span class="lineno"> 2630</span> {</div> |
| <div class="line"><a name="l02631"></a><span class="lineno"> 2631</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_dequantize_layer.html">DequantizeLayer</a>>(name);</div> |
| <div class="line"><a name="l02632"></a><span class="lineno"> 2632</span> }</div> |
| <div class="line"><a name="l02633"></a><span class="lineno"> 2633</span>  </div> |
| <div class="line"><a name="l02634"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#ac5c93cad39a690af862d49ffaec0d3c0"> 2634</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#ac5c93cad39a690af862d49ffaec0d3c0">NetworkImpl::AddStridedSliceLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_strided_slice_descriptor.html">StridedSliceDescriptor</a>& stridedSliceDescriptor,</div> |
| <div class="line"><a name="l02635"></a><span class="lineno"> 2635</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02636"></a><span class="lineno"> 2636</span> {</div> |
| <div class="line"><a name="l02637"></a><span class="lineno"> 2637</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_strided_slice_layer.html">StridedSliceLayer</a>>(stridedSliceDescriptor, name);</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>  </div> |
| <div class="line"><a name="l02640"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#aaf5e9645806f49d0fcd7ac07ba187f4e"> 2640</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#aaf5e9645806f49d0fcd7ac07ba187f4e">NetworkImpl::AddGatherLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_gather_descriptor.html">GatherDescriptor</a>& gatherDescriptor,</div> |
| <div class="line"><a name="l02641"></a><span class="lineno"> 2641</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</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>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_gather_layer.html">GatherLayer</a>>(gatherDescriptor, name);</div> |
| <div class="line"><a name="l02644"></a><span class="lineno"> 2644</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"><a class="line" href="classarmnn_1_1_network_impl.html#af776e284b9e2c4a3563abb8cf5e8ac5e"> 2646</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#af776e284b9e2c4a3563abb8cf5e8ac5e">NetworkImpl::AddGatherNdLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02647"></a><span class="lineno"> 2647</span> {</div> |
| <div class="line"><a name="l02648"></a><span class="lineno"> 2648</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_gather_nd_layer.html">GatherNdLayer</a>>(name);</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>  </div> |
| <div class="line"><a name="l02651"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a0f19808bdada45222e72edf7671a275a"> 2651</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a0f19808bdada45222e72edf7671a275a">NetworkImpl::AddMergeLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02652"></a><span class="lineno"> 2652</span> {</div> |
| <div class="line"><a name="l02653"></a><span class="lineno"> 2653</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_merge_layer.html">MergeLayer</a>>(name);</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>  </div> |
| <div class="line"><a name="l02656"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a26e69cda5fe9642f9198c24ae5fdf9bc"> 2656</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a26e69cda5fe9642f9198c24ae5fdf9bc">NetworkImpl::AddSwitchLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02657"></a><span class="lineno"> 2657</span> {</div> |
| <div class="line"><a name="l02658"></a><span class="lineno"> 2658</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_switch_layer.html">SwitchLayer</a>>(name);</div> |
| <div class="line"><a name="l02659"></a><span class="lineno"> 2659</span> }</div> |
| <div class="line"><a name="l02660"></a><span class="lineno"> 2660</span>  </div> |
| <div class="line"><a name="l02661"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a6d614a503a34ea3712b388aa4340ddbe"> 2661</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a6d614a503a34ea3712b388aa4340ddbe">NetworkImpl::AddPreluLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</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="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_prelu_layer.html">PreluLayer</a>>(name);</div> |
| <div class="line"><a name="l02664"></a><span class="lineno"> 2664</span> }</div> |
| <div class="line"><a name="l02665"></a><span class="lineno"> 2665</span>  </div> |
| <div class="line"><a name="l02666"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a41fd7b56923d5625bac2cbfebed1a393"> 2666</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a41fd7b56923d5625bac2cbfebed1a393">NetworkImpl::AddTransposeConvolution2dLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html">TransposeConvolution2dDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l02667"></a><span class="lineno"> 2667</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>& weights,</div> |
| <div class="line"><a name="l02668"></a><span class="lineno"> 2668</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.html">Optional<ConstTensor></a>& biases,</div> |
| <div class="line"><a name="l02669"></a><span class="lineno"> 2669</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</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>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a> && !biases.<a class="code" href="classarmnn_1_1_optional_base.html#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>())</div> |
| <div class="line"><a name="l02672"></a><span class="lineno"> 2672</span>  {</div> |
| <div class="line"><a name="l02673"></a><span class="lineno"> 2673</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddTransposeConvolution2dLayer: Biases cannot be empty"</span>);</div> |
| <div class="line"><a name="l02674"></a><span class="lineno"> 2674</span>  }</div> |
| <div class="line"><a name="l02675"></a><span class="lineno"> 2675</span>  </div> |
| <div class="line"><a name="l02676"></a><span class="lineno"> 2676</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.html">TransposeConvolution2dLayer</a>>(descriptor, name);</div> |
| <div class="line"><a name="l02677"></a><span class="lineno"> 2677</span>  </div> |
| <div class="line"><a name="l02678"></a><span class="lineno"> 2678</span>  layer-><a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#a6266a703017d7296f87cc4923df2d725">m_Weight</a> = std::make_shared<ScopedTensorHandle>(weights);</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>  <span class="keywordflow">if</span> (descriptor.m_BiasEnabled)</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>  layer->m_Bias = std::make_shared<ScopedTensorHandle>(biases.<a class="code" href="classarmnn_1_1_optional_reference_switch.html#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div> |
| <div class="line"><a name="l02683"></a><span class="lineno"> 2683</span>  }</div> |
| <div class="line"><a name="l02684"></a><span class="lineno"> 2684</span>  </div> |
| <div class="line"><a name="l02685"></a><span class="lineno"> 2685</span>  <span class="keywordflow">return</span> layer;</div> |
| <div class="line"><a name="l02686"></a><span class="lineno"> 2686</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"><a class="line" href="classarmnn_1_1_network_impl.html#ab067ba4ee9416d93abb8a52f3dc8feba"> 2688</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#ab067ba4ee9416d93abb8a52f3dc8feba">NetworkImpl::AddTransposeLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_descriptor.html">TransposeDescriptor</a>& transposeDescriptor,</div> |
| <div class="line"><a name="l02689"></a><span class="lineno"> 2689</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</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">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_transpose_layer.html">TransposeLayer</a>>(transposeDescriptor, name);</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>  </div> |
| <div class="line"><a name="l02694"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a446181daeb60b49cbcfd9f907f974ec1"> 2694</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a446181daeb60b49cbcfd9f907f974ec1">NetworkImpl::AddStackLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stack_descriptor.html">StackDescriptor</a>& stackDescriptor,</div> |
| <div class="line"><a name="l02695"></a><span class="lineno"> 2695</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02696"></a><span class="lineno"> 2696</span> {</div> |
| <div class="line"><a name="l02697"></a><span class="lineno"> 2697</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_stack_layer.html">StackLayer</a>>(stackDescriptor, name);</div> |
| <div class="line"><a name="l02698"></a><span class="lineno"> 2698</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>  </div> |
| <div class="line"><a name="l02701"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a74894d085e78ff80f45fc09dd2381f08"> 2701</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a74894d085e78ff80f45fc09dd2381f08">NetworkImpl::AddStandInLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stand_in_descriptor.html">StandInDescriptor</a>& desc,</div> |
| <div class="line"><a name="l02702"></a><span class="lineno"> 2702</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02703"></a><span class="lineno"> 2703</span> {</div> |
| <div class="line"><a name="l02704"></a><span class="lineno"> 2704</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_stand_in_layer.html">StandInLayer</a>>(desc, name);</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"><a class="line" href="classarmnn_1_1_network_impl.html#a40067b05f30a3ab65568c826df7a8ea7"> 2707</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a40067b05f30a3ab65568c826df7a8ea7">NetworkImpl::AddQuantizedLstmLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html">QuantizedLstmInputParams</a>& params,</div> |
| <div class="line"><a name="l02708"></a><span class="lineno"> 2708</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02709"></a><span class="lineno"> 2709</span> {</div> |
| <div class="line"><a name="l02710"></a><span class="lineno"> 2710</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.html">QuantizedLstmLayer</a>>(name);</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>  <span class="comment">// InputToX weights</span></div> |
| <div class="line"><a name="l02713"></a><span class="lineno"> 2713</span>  layer-><a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a> =</div> |
| <div class="line"><a name="l02714"></a><span class="lineno"> 2714</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a23d6133552ba91cc0571517896792ea4">GetInputToInputWeights</a>());</div> |
| <div class="line"><a name="l02715"></a><span class="lineno"> 2715</span>  layer->m_QuantizedLstmParameters.m_InputToForgetWeights =</div> |
| <div class="line"><a name="l02716"></a><span class="lineno"> 2716</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a339c19855613274cf0ea13921af9e5a3">GetInputToForgetWeights</a>());</div> |
| <div class="line"><a name="l02717"></a><span class="lineno"> 2717</span>  layer->m_QuantizedLstmParameters.m_InputToCellWeights =</div> |
| <div class="line"><a name="l02718"></a><span class="lineno"> 2718</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a928f70dd19a2b0d3e9b75c27a2099c44">GetInputToCellWeights</a>());</div> |
| <div class="line"><a name="l02719"></a><span class="lineno"> 2719</span>  layer->m_QuantizedLstmParameters.m_InputToOutputWeights =</div> |
| <div class="line"><a name="l02720"></a><span class="lineno"> 2720</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a477440c44fe870fb6f2486bf68214395">GetInputToOutputWeights</a>());</div> |
| <div class="line"><a name="l02721"></a><span class="lineno"> 2721</span>  </div> |
| <div class="line"><a name="l02722"></a><span class="lineno"> 2722</span>  <span class="comment">// RecurrentToX weights</span></div> |
| <div class="line"><a name="l02723"></a><span class="lineno"> 2723</span>  layer->m_QuantizedLstmParameters.m_RecurrentToInputWeights =</div> |
| <div class="line"><a name="l02724"></a><span class="lineno"> 2724</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#ad2e53e6428416a65ae4ba566207cc6bf">GetRecurrentToInputWeights</a>());</div> |
| <div class="line"><a name="l02725"></a><span class="lineno"> 2725</span>  layer->m_QuantizedLstmParameters.m_RecurrentToForgetWeights =</div> |
| <div class="line"><a name="l02726"></a><span class="lineno"> 2726</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a8ad69d6d46b4b12f47fbe6032c9b7a18">GetRecurrentToForgetWeights</a>());</div> |
| <div class="line"><a name="l02727"></a><span class="lineno"> 2727</span>  layer->m_QuantizedLstmParameters.m_RecurrentToCellWeights =</div> |
| <div class="line"><a name="l02728"></a><span class="lineno"> 2728</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a63e34dd3e41262e750f7a54de8ca81d1">GetRecurrentToCellWeights</a>());</div> |
| <div class="line"><a name="l02729"></a><span class="lineno"> 2729</span>  layer->m_QuantizedLstmParameters.m_RecurrentToOutputWeights =</div> |
| <div class="line"><a name="l02730"></a><span class="lineno"> 2730</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a94645f29b99800c2e57acc4832519a53">GetRecurrentToOutputWeights</a>());</div> |
| <div class="line"><a name="l02731"></a><span class="lineno"> 2731</span>  </div> |
| <div class="line"><a name="l02732"></a><span class="lineno"> 2732</span>  <span class="comment">// Bias</span></div> |
| <div class="line"><a name="l02733"></a><span class="lineno"> 2733</span>  layer->m_QuantizedLstmParameters.m_InputGateBias =</div> |
| <div class="line"><a name="l02734"></a><span class="lineno"> 2734</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#aba6d12c9d5671017b6711b80316069ff">GetInputGateBias</a>());</div> |
| <div class="line"><a name="l02735"></a><span class="lineno"> 2735</span>  layer->m_QuantizedLstmParameters.m_ForgetGateBias =</div> |
| <div class="line"><a name="l02736"></a><span class="lineno"> 2736</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a715696f29b5376cbb8aaec0b77a092af">GetForgetGateBias</a>());</div> |
| <div class="line"><a name="l02737"></a><span class="lineno"> 2737</span>  layer->m_QuantizedLstmParameters.m_CellBias =</div> |
| <div class="line"><a name="l02738"></a><span class="lineno"> 2738</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a89f3c8b72e3a802240156915141de5ca">GetCellBias</a>());</div> |
| <div class="line"><a name="l02739"></a><span class="lineno"> 2739</span>  layer->m_QuantizedLstmParameters.m_OutputGateBias =</div> |
| <div class="line"><a name="l02740"></a><span class="lineno"> 2740</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a1691bf16df2cabf1a4b82aecbb021f31">GetOutputGateBias</a>());</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>  <span class="keywordflow">return</span> layer;</div> |
| <div class="line"><a name="l02743"></a><span class="lineno"> 2743</span> }</div> |
| <div class="line"><a name="l02744"></a><span class="lineno"> 2744</span>  </div> |
| <div class="line"><a name="l02745"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a2acbae0b9e98c94b843677484775c86a"> 2745</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a2acbae0b9e98c94b843677484775c86a">NetworkImpl::AddQLstmLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.html">QLstmDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l02746"></a><span class="lineno"> 2746</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params.html">LstmInputParams</a>& params,</div> |
| <div class="line"><a name="l02747"></a><span class="lineno"> 2747</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</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="keyword">const</span> <span class="keyword">auto</span> layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_q_lstm_layer.html">QLstmLayer</a>>(descriptor, name);</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>  <span class="comment">// QLstm Basic Parameters</span></div> |
| <div class="line"><a name="l02752"></a><span class="lineno"> 2752</span>  layer-><a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> =</div> |
| <div class="line"><a name="l02753"></a><span class="lineno"> 2753</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a31da1ead6794dd64571afdd0b6efc771">m_InputToForgetWeights</a>));</div> |
| <div class="line"><a name="l02754"></a><span class="lineno"> 2754</span>  layer->m_BasicParameters.m_InputToCellWeights =</div> |
| <div class="line"><a name="l02755"></a><span class="lineno"> 2755</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a49e11acda22742cbaf6f1b259ead0d84">m_InputToCellWeights</a>));</div> |
| <div class="line"><a name="l02756"></a><span class="lineno"> 2756</span>  layer->m_BasicParameters.m_InputToOutputWeights =</div> |
| <div class="line"><a name="l02757"></a><span class="lineno"> 2757</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a6e30c7b3451da3ea9cf4259fb602e6e6">m_InputToOutputWeights</a>));</div> |
| <div class="line"><a name="l02758"></a><span class="lineno"> 2758</span>  layer->m_BasicParameters.m_RecurrentToForgetWeights =</div> |
| <div class="line"><a name="l02759"></a><span class="lineno"> 2759</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ae83131e16df1cace69395a5f99bc5ecb">m_RecurrentToForgetWeights</a>));</div> |
| <div class="line"><a name="l02760"></a><span class="lineno"> 2760</span>  layer->m_BasicParameters.m_RecurrentToCellWeights =</div> |
| <div class="line"><a name="l02761"></a><span class="lineno"> 2761</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a1759754ccb88ecc9af44f3aae6e244ee">m_RecurrentToCellWeights</a>));</div> |
| <div class="line"><a name="l02762"></a><span class="lineno"> 2762</span>  layer->m_BasicParameters.m_RecurrentToOutputWeights =</div> |
| <div class="line"><a name="l02763"></a><span class="lineno"> 2763</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a56b81ca8ba4b4937e0787e4951f043fc">m_RecurrentToOutputWeights</a>));</div> |
| <div class="line"><a name="l02764"></a><span class="lineno"> 2764</span>  layer->m_BasicParameters.m_ForgetGateBias =</div> |
| <div class="line"><a name="l02765"></a><span class="lineno"> 2765</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ace7a1f1f1041b412b7d8ef82b95ff352">m_ForgetGateBias</a>));</div> |
| <div class="line"><a name="l02766"></a><span class="lineno"> 2766</span>  layer->m_BasicParameters.m_CellBias =</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.html#a4a9d678146f572808a361dbdc5489f38">m_CellBias</a>));</div> |
| <div class="line"><a name="l02768"></a><span class="lineno"> 2768</span>  layer->m_BasicParameters.m_OutputGateBias =</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.html#a8c0f6d48705f40c5590dde09be262222">m_OutputGateBias</a>));</div> |
| <div class="line"><a name="l02770"></a><span class="lineno"> 2770</span>  </div> |
| <div class="line"><a name="l02771"></a><span class="lineno"> 2771</span>  <span class="comment">// QLstm Cifg parameters</span></div> |
| <div class="line"><a name="l02772"></a><span class="lineno"> 2772</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div> |
| <div class="line"><a name="l02773"></a><span class="lineno"> 2773</span>  {</div> |
| <div class="line"><a name="l02774"></a><span class="lineno"> 2774</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#affcee5f4ab5994a21bee3b78b4e43de3">m_InputToInputWeights</a> == <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l02775"></a><span class="lineno"> 2775</span>  {</div> |
| <div class="line"><a name="l02776"></a><span class="lineno"> 2776</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Input To Input Weights cannot be NULL"</span>);</div> |
| <div class="line"><a name="l02777"></a><span class="lineno"> 2777</span>  }</div> |
| <div class="line"><a name="l02778"></a><span class="lineno"> 2778</span>  </div> |
| <div class="line"><a name="l02779"></a><span class="lineno"> 2779</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a435d3651482bbfcc11263b4e4e0c900f">m_RecurrentToInputWeights</a> == <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l02780"></a><span class="lineno"> 2780</span>  {</div> |
| <div class="line"><a name="l02781"></a><span class="lineno"> 2781</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(</div> |
| <div class="line"><a name="l02782"></a><span class="lineno"> 2782</span>  <span class="stringliteral">"AddQLstmLayer: Recurrent To Input Weights cannot be NULL"</span>);</div> |
| <div class="line"><a name="l02783"></a><span class="lineno"> 2783</span>  }</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="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9e081a9b94defb30d1558dc912507e0e">m_InputGateBias</a> == <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l02786"></a><span class="lineno"> 2786</span>  {</div> |
| <div class="line"><a name="l02787"></a><span class="lineno"> 2787</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Input Gate Bias cannot be NULL"</span>);</div> |
| <div class="line"><a name="l02788"></a><span class="lineno"> 2788</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>  layer->m_CifgParameters.m_InputToInputWeights =</div> |
| <div class="line"><a name="l02791"></a><span class="lineno"> 2791</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#affcee5f4ab5994a21bee3b78b4e43de3">m_InputToInputWeights</a>));</div> |
| <div class="line"><a name="l02792"></a><span class="lineno"> 2792</span>  layer->m_CifgParameters.m_RecurrentToInputWeights =</div> |
| <div class="line"><a name="l02793"></a><span class="lineno"> 2793</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a435d3651482bbfcc11263b4e4e0c900f">m_RecurrentToInputWeights</a>));</div> |
| <div class="line"><a name="l02794"></a><span class="lineno"> 2794</span>  layer->m_CifgParameters.m_InputGateBias =</div> |
| <div class="line"><a name="l02795"></a><span class="lineno"> 2795</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9e081a9b94defb30d1558dc912507e0e">m_InputGateBias</a>));</div> |
| <div class="line"><a name="l02796"></a><span class="lineno"> 2796</span>  }</div> |
| <div class="line"><a name="l02797"></a><span class="lineno"> 2797</span>  </div> |
| <div class="line"><a name="l02798"></a><span class="lineno"> 2798</span>  <span class="comment">// QLstm Projection parameters</span></div> |
| <div class="line"><a name="l02799"></a><span class="lineno"> 2799</span>  <span class="keywordflow">if</span>(descriptor.m_ProjectionEnabled)</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">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ab03e6e1514f74427916c892f473fe04c">m_ProjectionWeights</a> == <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l02802"></a><span class="lineno"> 2802</span>  {</div> |
| <div class="line"><a name="l02803"></a><span class="lineno"> 2803</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Projection Weights cannot be NULL"</span>);</div> |
| <div class="line"><a name="l02804"></a><span class="lineno"> 2804</span>  }</div> |
| <div class="line"><a name="l02805"></a><span class="lineno"> 2805</span>  </div> |
| <div class="line"><a name="l02806"></a><span class="lineno"> 2806</span>  layer->m_ProjectionParameters.m_ProjectionWeights =</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.html#ab03e6e1514f74427916c892f473fe04c">m_ProjectionWeights</a>));</div> |
| <div class="line"><a name="l02808"></a><span class="lineno"> 2808</span>  </div> |
| <div class="line"><a name="l02809"></a><span class="lineno"> 2809</span>  <span class="comment">// Projection bias is optional even if projection is enabled</span></div> |
| <div class="line"><a name="l02810"></a><span class="lineno"> 2810</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a44b0e6b16708df7f0d2bbab141688aaa">m_ProjectionBias</a> != <span class="keyword">nullptr</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>  layer->m_ProjectionParameters.m_ProjectionBias =</div> |
| <div class="line"><a name="l02813"></a><span class="lineno"> 2813</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a44b0e6b16708df7f0d2bbab141688aaa">m_ProjectionBias</a>));</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>  </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>  </div> |
| <div class="line"><a name="l02818"></a><span class="lineno"> 2818</span>  <span class="comment">// QLstm Peephole params</span></div> |
| <div class="line"><a name="l02819"></a><span class="lineno"> 2819</span>  <span class="keywordflow">if</span>(descriptor.m_PeepholeEnabled)</div> |
| <div class="line"><a name="l02820"></a><span class="lineno"> 2820</span>  {</div> |
| <div class="line"><a name="l02821"></a><span class="lineno"> 2821</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a35b112e30c3eb153806a2a8c16d178e3">m_CellToForgetWeights</a> == <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l02822"></a><span class="lineno"> 2822</span>  {</div> |
| <div class="line"><a name="l02823"></a><span class="lineno"> 2823</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Cell To Forget Weights cannot be NULL"</span>);</div> |
| <div class="line"><a name="l02824"></a><span class="lineno"> 2824</span>  }</div> |
| <div class="line"><a name="l02825"></a><span class="lineno"> 2825</span>  </div> |
| <div class="line"><a name="l02826"></a><span class="lineno"> 2826</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#afe204ca375b74e9a72640c9227918d0a">m_CellToOutputWeights</a> == <span class="keyword">nullptr</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>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Cell To Output Weights cannot be NULL"</span>);</div> |
| <div class="line"><a name="l02829"></a><span class="lineno"> 2829</span>  }</div> |
| <div class="line"><a name="l02830"></a><span class="lineno"> 2830</span>  </div> |
| <div class="line"><a name="l02831"></a><span class="lineno"> 2831</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div> |
| <div class="line"><a name="l02832"></a><span class="lineno"> 2832</span>  {</div> |
| <div class="line"><a name="l02833"></a><span class="lineno"> 2833</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a484bafa2f8453a7c5a4a00b92a61b006">m_CellToInputWeights</a> == <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l02834"></a><span class="lineno"> 2834</span>  {</div> |
| <div class="line"><a name="l02835"></a><span class="lineno"> 2835</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Cell To Input Weights cannot be NULL"</span>);</div> |
| <div class="line"><a name="l02836"></a><span class="lineno"> 2836</span>  }</div> |
| <div class="line"><a name="l02837"></a><span class="lineno"> 2837</span>  </div> |
| <div class="line"><a name="l02838"></a><span class="lineno"> 2838</span>  layer->m_PeepholeParameters.m_CellToInputWeights =</div> |
| <div class="line"><a name="l02839"></a><span class="lineno"> 2839</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a484bafa2f8453a7c5a4a00b92a61b006">m_CellToInputWeights</a>));</div> |
| <div class="line"><a name="l02840"></a><span class="lineno"> 2840</span>  }</div> |
| <div class="line"><a name="l02841"></a><span class="lineno"> 2841</span>  </div> |
| <div class="line"><a name="l02842"></a><span class="lineno"> 2842</span>  layer->m_PeepholeParameters.m_CellToForgetWeights =</div> |
| <div class="line"><a name="l02843"></a><span class="lineno"> 2843</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a35b112e30c3eb153806a2a8c16d178e3">m_CellToForgetWeights</a>));</div> |
| <div class="line"><a name="l02844"></a><span class="lineno"> 2844</span>  layer->m_PeepholeParameters.m_CellToOutputWeights =</div> |
| <div class="line"><a name="l02845"></a><span class="lineno"> 2845</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#afe204ca375b74e9a72640c9227918d0a">m_CellToOutputWeights</a>));</div> |
| <div class="line"><a name="l02846"></a><span class="lineno"> 2846</span>  }</div> |
| <div class="line"><a name="l02847"></a><span class="lineno"> 2847</span>  </div> |
| <div class="line"><a name="l02848"></a><span class="lineno"> 2848</span>  <span class="comment">// QLstm Layer Normalization params</span></div> |
| <div class="line"><a name="l02849"></a><span class="lineno"> 2849</span>  <span class="keywordflow">if</span>(descriptor.m_LayerNormEnabled)</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">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#af0f796fba1a2be9c56b4c9ee534577ee">m_ForgetLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l02852"></a><span class="lineno"> 2852</span>  {</div> |
| <div class="line"><a name="l02853"></a><span class="lineno"> 2853</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Forget layer normalization weights cannot be NULL"</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>  </div> |
| <div class="line"><a name="l02856"></a><span class="lineno"> 2856</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ad0b8c32bb5381f4cc999093ba3b98b43">m_CellLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l02857"></a><span class="lineno"> 2857</span>  {</div> |
| <div class="line"><a name="l02858"></a><span class="lineno"> 2858</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Cell layer normalization weights cannot be NULL"</span>);</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="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9b18daea2e9f42386055326fd016519a">m_OutputLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l02862"></a><span class="lineno"> 2862</span>  {</div> |
| <div class="line"><a name="l02863"></a><span class="lineno"> 2863</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Output layer normalization weights cannot be NULL"</span>);</div> |
| <div class="line"><a name="l02864"></a><span class="lineno"> 2864</span>  }</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>(!descriptor.m_CifgEnabled)</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">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a0cd848f65ec31778d708852f0042fe37">m_InputLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l02869"></a><span class="lineno"> 2869</span>  {</div> |
| <div class="line"><a name="l02870"></a><span class="lineno"> 2870</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Input layer normalization weights cannot be NULL"</span>);</div> |
| <div class="line"><a name="l02871"></a><span class="lineno"> 2871</span>  }</div> |
| <div class="line"><a name="l02872"></a><span class="lineno"> 2872</span>  </div> |
| <div class="line"><a name="l02873"></a><span class="lineno"> 2873</span>  layer->m_LayerNormParameters.m_InputLayerNormWeights =</div> |
| <div class="line"><a name="l02874"></a><span class="lineno"> 2874</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a0cd848f65ec31778d708852f0042fe37">m_InputLayerNormWeights</a>));</div> |
| <div class="line"><a name="l02875"></a><span class="lineno"> 2875</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>  layer->m_LayerNormParameters.m_ForgetLayerNormWeights =</div> |
| <div class="line"><a name="l02878"></a><span class="lineno"> 2878</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#af0f796fba1a2be9c56b4c9ee534577ee">m_ForgetLayerNormWeights</a>));</div> |
| <div class="line"><a name="l02879"></a><span class="lineno"> 2879</span>  layer->m_LayerNormParameters.m_CellLayerNormWeights =</div> |
| <div class="line"><a name="l02880"></a><span class="lineno"> 2880</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ad0b8c32bb5381f4cc999093ba3b98b43">m_CellLayerNormWeights</a>));</div> |
| <div class="line"><a name="l02881"></a><span class="lineno"> 2881</span>  layer->m_LayerNormParameters.m_OutputLayerNormWeights =</div> |
| <div class="line"><a name="l02882"></a><span class="lineno"> 2882</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9b18daea2e9f42386055326fd016519a">m_OutputLayerNormWeights</a>));</div> |
| <div class="line"><a name="l02883"></a><span class="lineno"> 2883</span>  }</div> |
| <div class="line"><a name="l02884"></a><span class="lineno"> 2884</span>  <span class="keywordflow">return</span> layer;</div> |
| <div class="line"><a name="l02885"></a><span class="lineno"> 2885</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"><a class="line" href="classarmnn_1_1_network_impl.html#a1ff7534e1254dfb3ef8288194cca7ce3"> 2887</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a1ff7534e1254dfb3ef8288194cca7ce3">NetworkImpl::AddLogicalBinaryLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_logical_binary_descriptor.html">LogicalBinaryDescriptor</a>& logicalBinaryDescriptor,</div> |
| <div class="line"><a name="l02888"></a><span class="lineno"> 2888</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</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>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_logical_binary_layer.html">LogicalBinaryLayer</a>>(logicalBinaryDescriptor, name);</div> |
| <div class="line"><a name="l02891"></a><span class="lineno"> 2891</span> }</div> |
| <div class="line"><a name="l02892"></a><span class="lineno"> 2892</span>  </div> |
| <div class="line"><a name="l02893"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#aba22dcdeed6e7c489aea6eb798c0a10a"> 2893</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#aba22dcdeed6e7c489aea6eb798c0a10a">NetworkImpl::AddUnidirectionalSequenceLstmLayer</a>(</div> |
| <div class="line"><a name="l02894"></a><span class="lineno"> 2894</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.html">UnidirectionalSequenceLstmDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l02895"></a><span class="lineno"> 2895</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params.html">LstmInputParams</a>& params,</div> |
| <div class="line"><a name="l02896"></a><span class="lineno"> 2896</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l02897"></a><span class="lineno"> 2897</span> {</div> |
| <div class="line"><a name="l02898"></a><span class="lineno"> 2898</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.html">UnidirectionalSequenceLstmLayer</a>>(descriptor, name);</div> |
| <div class="line"><a name="l02899"></a><span class="lineno"> 2899</span>  </div> |
| <div class="line"><a name="l02900"></a><span class="lineno"> 2900</span>  <span class="comment">//Lstm Basic Parameters</span></div> |
| <div class="line"><a name="l02901"></a><span class="lineno"> 2901</span>  layer-><a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> =</div> |
| <div class="line"><a name="l02902"></a><span class="lineno"> 2902</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a31da1ead6794dd64571afdd0b6efc771">m_InputToForgetWeights</a>));</div> |
| <div class="line"><a name="l02903"></a><span class="lineno"> 2903</span>  layer->m_BasicParameters.m_InputToCellWeights =</div> |
| <div class="line"><a name="l02904"></a><span class="lineno"> 2904</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a49e11acda22742cbaf6f1b259ead0d84">m_InputToCellWeights</a>));</div> |
| <div class="line"><a name="l02905"></a><span class="lineno"> 2905</span>  layer->m_BasicParameters.m_InputToOutputWeights =</div> |
| <div class="line"><a name="l02906"></a><span class="lineno"> 2906</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a6e30c7b3451da3ea9cf4259fb602e6e6">m_InputToOutputWeights</a>));</div> |
| <div class="line"><a name="l02907"></a><span class="lineno"> 2907</span>  layer->m_BasicParameters.m_RecurrentToForgetWeights =</div> |
| <div class="line"><a name="l02908"></a><span class="lineno"> 2908</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ae83131e16df1cace69395a5f99bc5ecb">m_RecurrentToForgetWeights</a>));</div> |
| <div class="line"><a name="l02909"></a><span class="lineno"> 2909</span>  layer->m_BasicParameters.m_RecurrentToCellWeights =</div> |
| <div class="line"><a name="l02910"></a><span class="lineno"> 2910</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a1759754ccb88ecc9af44f3aae6e244ee">m_RecurrentToCellWeights</a>));</div> |
| <div class="line"><a name="l02911"></a><span class="lineno"> 2911</span>  layer->m_BasicParameters.m_RecurrentToOutputWeights =</div> |
| <div class="line"><a name="l02912"></a><span class="lineno"> 2912</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a56b81ca8ba4b4937e0787e4951f043fc">m_RecurrentToOutputWeights</a>));</div> |
| <div class="line"><a name="l02913"></a><span class="lineno"> 2913</span>  layer->m_BasicParameters.m_ForgetGateBias =</div> |
| <div class="line"><a name="l02914"></a><span class="lineno"> 2914</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ace7a1f1f1041b412b7d8ef82b95ff352">m_ForgetGateBias</a>));</div> |
| <div class="line"><a name="l02915"></a><span class="lineno"> 2915</span>  layer->m_BasicParameters.m_CellBias =</div> |
| <div class="line"><a name="l02916"></a><span class="lineno"> 2916</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a4a9d678146f572808a361dbdc5489f38">m_CellBias</a>));</div> |
| <div class="line"><a name="l02917"></a><span class="lineno"> 2917</span>  layer->m_BasicParameters.m_OutputGateBias =</div> |
| <div class="line"><a name="l02918"></a><span class="lineno"> 2918</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a8c0f6d48705f40c5590dde09be262222">m_OutputGateBias</a>));</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>  <span class="comment">//Lstm Cifg parameters</span></div> |
| <div class="line"><a name="l02921"></a><span class="lineno"> 2921</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div> |
| <div class="line"><a name="l02922"></a><span class="lineno"> 2922</span>  {</div> |
| <div class="line"><a name="l02923"></a><span class="lineno"> 2923</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#affcee5f4ab5994a21bee3b78b4e43de3">m_InputToInputWeights</a> == <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l02924"></a><span class="lineno"> 2924</span>  {</div> |
| <div class="line"><a name="l02925"></a><span class="lineno"> 2925</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Input To Input Weights cannot be NULL "</span></div> |
| <div class="line"><a name="l02926"></a><span class="lineno"> 2926</span>  <span class="stringliteral">"when CIFG is disabled."</span>);</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>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a435d3651482bbfcc11263b4e4e0c900f">m_RecurrentToInputWeights</a> == <span class="keyword">nullptr</span>)</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">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(</div> |
| <div class="line"><a name="l02931"></a><span class="lineno"> 2931</span>  <span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Recurrent To Input Weights cannot be NULL "</span></div> |
| <div class="line"><a name="l02932"></a><span class="lineno"> 2932</span>  <span class="stringliteral">"when CIFG is disabled."</span>);</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>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9e081a9b94defb30d1558dc912507e0e">m_InputGateBias</a> == <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l02935"></a><span class="lineno"> 2935</span>  {</div> |
| <div class="line"><a name="l02936"></a><span class="lineno"> 2936</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Input Gate Bias cannot be NULL "</span></div> |
| <div class="line"><a name="l02937"></a><span class="lineno"> 2937</span>  <span class="stringliteral">"when CIFG is disabled."</span>);</div> |
| <div class="line"><a name="l02938"></a><span class="lineno"> 2938</span>  }</div> |
| <div class="line"><a name="l02939"></a><span class="lineno"> 2939</span>  layer->m_CifgParameters.m_InputToInputWeights =</div> |
| <div class="line"><a name="l02940"></a><span class="lineno"> 2940</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#affcee5f4ab5994a21bee3b78b4e43de3">m_InputToInputWeights</a>));</div> |
| <div class="line"><a name="l02941"></a><span class="lineno"> 2941</span>  layer->m_CifgParameters.m_RecurrentToInputWeights =</div> |
| <div class="line"><a name="l02942"></a><span class="lineno"> 2942</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a435d3651482bbfcc11263b4e4e0c900f">m_RecurrentToInputWeights</a>));</div> |
| <div class="line"><a name="l02943"></a><span class="lineno"> 2943</span>  layer->m_CifgParameters.m_InputGateBias =</div> |
| <div class="line"><a name="l02944"></a><span class="lineno"> 2944</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9e081a9b94defb30d1558dc912507e0e">m_InputGateBias</a>));</div> |
| <div class="line"><a name="l02945"></a><span class="lineno"> 2945</span>  }</div> |
| <div class="line"><a name="l02946"></a><span class="lineno"> 2946</span>  </div> |
| <div class="line"><a name="l02947"></a><span class="lineno"> 2947</span>  <span class="comment">//Lstm projection parameters</span></div> |
| <div class="line"><a name="l02948"></a><span class="lineno"> 2948</span>  <span class="keywordflow">if</span>(descriptor.m_ProjectionEnabled)</div> |
| <div class="line"><a name="l02949"></a><span class="lineno"> 2949</span>  {</div> |
| <div class="line"><a name="l02950"></a><span class="lineno"> 2950</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ab03e6e1514f74427916c892f473fe04c">m_ProjectionWeights</a> == <span class="keyword">nullptr</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>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Projection Weights cannot be NULL "</span></div> |
| <div class="line"><a name="l02953"></a><span class="lineno"> 2953</span>  <span class="stringliteral">"when projection is enabled."</span>);</div> |
| <div class="line"><a name="l02954"></a><span class="lineno"> 2954</span>  }</div> |
| <div class="line"><a name="l02955"></a><span class="lineno"> 2955</span>  layer->m_ProjectionParameters.m_ProjectionWeights =</div> |
| <div class="line"><a name="l02956"></a><span class="lineno"> 2956</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ab03e6e1514f74427916c892f473fe04c">m_ProjectionWeights</a>));</div> |
| <div class="line"><a name="l02957"></a><span class="lineno"> 2957</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a44b0e6b16708df7f0d2bbab141688aaa">m_ProjectionBias</a> != <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l02958"></a><span class="lineno"> 2958</span>  {</div> |
| <div class="line"><a name="l02959"></a><span class="lineno"> 2959</span>  layer->m_ProjectionParameters.m_ProjectionBias =</div> |
| <div class="line"><a name="l02960"></a><span class="lineno"> 2960</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a44b0e6b16708df7f0d2bbab141688aaa">m_ProjectionBias</a>));</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"> 2963</span>  </div> |
| <div class="line"><a name="l02964"></a><span class="lineno"> 2964</span>  <span class="comment">//Lstm Peephole params</span></div> |
| <div class="line"><a name="l02965"></a><span class="lineno"> 2965</span>  <span class="keywordflow">if</span>(descriptor.m_PeepholeEnabled)</div> |
| <div class="line"><a name="l02966"></a><span class="lineno"> 2966</span>  {</div> |
| <div class="line"><a name="l02967"></a><span class="lineno"> 2967</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div> |
| <div class="line"><a name="l02968"></a><span class="lineno"> 2968</span>  {</div> |
| <div class="line"><a name="l02969"></a><span class="lineno"> 2969</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a484bafa2f8453a7c5a4a00b92a61b006">m_CellToInputWeights</a> == <span class="keyword">nullptr</span>)</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>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Cell To Input Weights "</span></div> |
| <div class="line"><a name="l02972"></a><span class="lineno"> 2972</span>  <span class="stringliteral">"cannot be NULL when Peephole is enabled and CIFG disabled."</span>);</div> |
| <div class="line"><a name="l02973"></a><span class="lineno"> 2973</span>  }</div> |
| <div class="line"><a name="l02974"></a><span class="lineno"> 2974</span>  </div> |
| <div class="line"><a name="l02975"></a><span class="lineno"> 2975</span>  layer->m_PeepholeParameters.m_CellToInputWeights =</div> |
| <div class="line"><a name="l02976"></a><span class="lineno"> 2976</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a484bafa2f8453a7c5a4a00b92a61b006">m_CellToInputWeights</a>));</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>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a35b112e30c3eb153806a2a8c16d178e3">m_CellToForgetWeights</a> == <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l02980"></a><span class="lineno"> 2980</span>  {</div> |
| <div class="line"><a name="l02981"></a><span class="lineno"> 2981</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Cell To Forget Weights cannot be NULL "</span></div> |
| <div class="line"><a name="l02982"></a><span class="lineno"> 2982</span>  <span class="stringliteral">"when Peephole is enabled."</span>);</div> |
| <div class="line"><a name="l02983"></a><span class="lineno"> 2983</span>  }</div> |
| <div class="line"><a name="l02984"></a><span class="lineno"> 2984</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#afe204ca375b74e9a72640c9227918d0a">m_CellToOutputWeights</a> == <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l02985"></a><span class="lineno"> 2985</span>  {</div> |
| <div class="line"><a name="l02986"></a><span class="lineno"> 2986</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Cell To Output Weights cannot be NULL "</span></div> |
| <div class="line"><a name="l02987"></a><span class="lineno"> 2987</span>  <span class="stringliteral">"when Peephole is enabled."</span>);</div> |
| <div class="line"><a name="l02988"></a><span class="lineno"> 2988</span>  }</div> |
| <div class="line"><a name="l02989"></a><span class="lineno"> 2989</span>  </div> |
| <div class="line"><a name="l02990"></a><span class="lineno"> 2990</span>  layer->m_PeepholeParameters.m_CellToForgetWeights =</div> |
| <div class="line"><a name="l02991"></a><span class="lineno"> 2991</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a35b112e30c3eb153806a2a8c16d178e3">m_CellToForgetWeights</a>));</div> |
| <div class="line"><a name="l02992"></a><span class="lineno"> 2992</span>  layer->m_PeepholeParameters.m_CellToOutputWeights =</div> |
| <div class="line"><a name="l02993"></a><span class="lineno"> 2993</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#afe204ca375b74e9a72640c9227918d0a">m_CellToOutputWeights</a>));</div> |
| <div class="line"><a name="l02994"></a><span class="lineno"> 2994</span>  }</div> |
| <div class="line"><a name="l02995"></a><span class="lineno"> 2995</span>  </div> |
| <div class="line"><a name="l02996"></a><span class="lineno"> 2996</span>  <span class="comment">//Lstm Layer Normalization params</span></div> |
| <div class="line"><a name="l02997"></a><span class="lineno"> 2997</span>  <span class="keywordflow">if</span>(descriptor.m_LayerNormEnabled)</div> |
| <div class="line"><a name="l02998"></a><span class="lineno"> 2998</span>  {</div> |
| <div class="line"><a name="l02999"></a><span class="lineno"> 2999</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div> |
| <div class="line"><a name="l03000"></a><span class="lineno"> 3000</span>  {</div> |
| <div class="line"><a name="l03001"></a><span class="lineno"> 3001</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a0cd848f65ec31778d708852f0042fe37">m_InputLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l03002"></a><span class="lineno"> 3002</span>  {</div> |
| <div class="line"><a name="l03003"></a><span class="lineno"> 3003</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Input layer normalization weights "</span></div> |
| <div class="line"><a name="l03004"></a><span class="lineno"> 3004</span>  <span class="stringliteral">"cannot be NULL when layer normalization is enabled and CIFG disabled."</span>);</div> |
| <div class="line"><a name="l03005"></a><span class="lineno"> 3005</span>  }</div> |
| <div class="line"><a name="l03006"></a><span class="lineno"> 3006</span>  layer->m_LayerNormParameters.m_InputLayerNormWeights =</div> |
| <div class="line"><a name="l03007"></a><span class="lineno"> 3007</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a0cd848f65ec31778d708852f0042fe37">m_InputLayerNormWeights</a>));</div> |
| <div class="line"><a name="l03008"></a><span class="lineno"> 3008</span>  }</div> |
| <div class="line"><a name="l03009"></a><span class="lineno"> 3009</span>  </div> |
| <div class="line"><a name="l03010"></a><span class="lineno"> 3010</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#af0f796fba1a2be9c56b4c9ee534577ee">m_ForgetLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l03011"></a><span class="lineno"> 3011</span>  {</div> |
| <div class="line"><a name="l03012"></a><span class="lineno"> 3012</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Forget layer normalization weights "</span></div> |
| <div class="line"><a name="l03013"></a><span class="lineno"> 3013</span>  <span class="stringliteral">"cannot be NULL when layer normalization is enabled."</span>);</div> |
| <div class="line"><a name="l03014"></a><span class="lineno"> 3014</span>  }</div> |
| <div class="line"><a name="l03015"></a><span class="lineno"> 3015</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ad0b8c32bb5381f4cc999093ba3b98b43">m_CellLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l03016"></a><span class="lineno"> 3016</span>  {</div> |
| <div class="line"><a name="l03017"></a><span class="lineno"> 3017</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Cell layer normalization weights "</span></div> |
| <div class="line"><a name="l03018"></a><span class="lineno"> 3018</span>  <span class="stringliteral">"cannot be NULL when layer normalization is enabled."</span>);</div> |
| <div class="line"><a name="l03019"></a><span class="lineno"> 3019</span>  }</div> |
| <div class="line"><a name="l03020"></a><span class="lineno"> 3020</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9b18daea2e9f42386055326fd016519a">m_OutputLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l03021"></a><span class="lineno"> 3021</span>  {</div> |
| <div class="line"><a name="l03022"></a><span class="lineno"> 3022</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Output layer normalization weights "</span></div> |
| <div class="line"><a name="l03023"></a><span class="lineno"> 3023</span>  <span class="stringliteral">"cannot be NULL when layer normalization is enabled."</span>);</div> |
| <div class="line"><a name="l03024"></a><span class="lineno"> 3024</span>  }</div> |
| <div class="line"><a name="l03025"></a><span class="lineno"> 3025</span>  layer->m_LayerNormParameters.m_ForgetLayerNormWeights =</div> |
| <div class="line"><a name="l03026"></a><span class="lineno"> 3026</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#af0f796fba1a2be9c56b4c9ee534577ee">m_ForgetLayerNormWeights</a>));</div> |
| <div class="line"><a name="l03027"></a><span class="lineno"> 3027</span>  layer->m_LayerNormParameters.m_CellLayerNormWeights =</div> |
| <div class="line"><a name="l03028"></a><span class="lineno"> 3028</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ad0b8c32bb5381f4cc999093ba3b98b43">m_CellLayerNormWeights</a>));</div> |
| <div class="line"><a name="l03029"></a><span class="lineno"> 3029</span>  layer->m_LayerNormParameters.m_OutputLayerNormWeights =</div> |
| <div class="line"><a name="l03030"></a><span class="lineno"> 3030</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9b18daea2e9f42386055326fd016519a">m_OutputLayerNormWeights</a>));</div> |
| <div class="line"><a name="l03031"></a><span class="lineno"> 3031</span>  }</div> |
| <div class="line"><a name="l03032"></a><span class="lineno"> 3032</span>  <span class="keywordflow">return</span> layer;</div> |
| <div class="line"><a name="l03033"></a><span class="lineno"> 3033</span> }</div> |
| <div class="line"><a name="l03034"></a><span class="lineno"> 3034</span>  </div> |
| <div class="line"><a name="l03035"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a7b74bd646ccf7ee6eaf3e23a958606ff"> 3035</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a7b74bd646ccf7ee6eaf3e23a958606ff">NetworkImpl::AddBatchMatMulLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html">BatchMatMulDescriptor</a>& desc, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l03036"></a><span class="lineno"> 3036</span> {</div> |
| <div class="line"><a name="l03037"></a><span class="lineno"> 3037</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_batch_mat_mul_layer.html">BatchMatMulLayer</a>>(desc, name);</div> |
| <div class="line"><a name="l03038"></a><span class="lineno"> 3038</span> }</div> |
| <div class="line"><a name="l03039"></a><span class="lineno"> 3039</span>  </div> |
| <div class="line"><a name="l03040"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#af6b8b1eccd67565e345e3977a4adc195"> 3040</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#af6b8b1eccd67565e345e3977a4adc195">NetworkImpl::AddReverseV2Layer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span> *name)</div> |
| <div class="line"><a name="l03041"></a><span class="lineno"> 3041</span> {</div> |
| <div class="line"><a name="l03042"></a><span class="lineno"> 3042</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_reverse_v2_layer.html">ReverseV2Layer</a>>(name);</div> |
| <div class="line"><a name="l03043"></a><span class="lineno"> 3043</span> }</div> |
| <div class="line"><a name="l03044"></a><span class="lineno"> 3044</span>  </div> |
| <div class="line"><a name="l03045"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#aaeb550250a93542aef8ef68fbfdd8e98"> 3045</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#aaeb550250a93542aef8ef68fbfdd8e98">NetworkImpl::AddTileLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_tile_descriptor.html">TileDescriptor</a> &desc, <span class="keyword">const</span> <span class="keywordtype">char</span> *name)</div> |
| <div class="line"><a name="l03046"></a><span class="lineno"> 3046</span> {</div> |
| <div class="line"><a name="l03047"></a><span class="lineno"> 3047</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_tile_layer.html">TileLayer</a>>(desc, name);</div> |
| <div class="line"><a name="l03048"></a><span class="lineno"> 3048</span> }</div> |
| <div class="line"><a name="l03049"></a><span class="lineno"> 3049</span>  </div> |
| <div class="line"><a name="l03050"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#aee3a15d2fa419f50a8ac45e6d3c11e16"> 3050</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#aee3a15d2fa419f50a8ac45e6d3c11e16">NetworkImpl::AddPrecompiledLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pre_compiled_descriptor.html">PreCompiledDescriptor</a>& preCompiledDescriptor,</div> |
| <div class="line"><a name="l03051"></a><span class="lineno"> 3051</span>  <a class="code" href="namespacearmnn.html#af362583b7b4c471c434cb0fdb86c2ae2">CompiledBlobPtr</a> compiledBlobPtr,</div> |
| <div class="line"><a name="l03052"></a><span class="lineno"> 3052</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.html">Optional<BackendId></a>& backend,</div> |
| <div class="line"><a name="l03053"></a><span class="lineno"> 3053</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l03054"></a><span class="lineno"> 3054</span> {</div> |
| <div class="line"><a name="l03055"></a><span class="lineno"> 3055</span>  <span class="comment">// Method use is for backend users.</span></div> |
| <div class="line"><a name="l03056"></a><span class="lineno"> 3056</span>  <a class="code" href="classarmnn_1_1_pre_compiled_layer.html">PreCompiledLayer</a>* layer;</div> |
| <div class="line"><a name="l03057"></a><span class="lineno"> 3057</span>  <span class="keywordflow">if</span> (name)</div> |
| <div class="line"><a name="l03058"></a><span class="lineno"> 3058</span>  {</div> |
| <div class="line"><a name="l03059"></a><span class="lineno"> 3059</span>  layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_pre_compiled_layer.html">PreCompiledLayer</a>>(preCompiledDescriptor, name);</div> |
| <div class="line"><a name="l03060"></a><span class="lineno"> 3060</span>  }</div> |
| <div class="line"><a name="l03061"></a><span class="lineno"> 3061</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l03062"></a><span class="lineno"> 3062</span>  {</div> |
| <div class="line"><a name="l03063"></a><span class="lineno"> 3063</span>  layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_pre_compiled_layer.html">PreCompiledLayer</a>>(preCompiledDescriptor, <span class="stringliteral">"pre-compiled"</span>);</div> |
| <div class="line"><a name="l03064"></a><span class="lineno"> 3064</span>  }</div> |
| <div class="line"><a name="l03065"></a><span class="lineno"> 3065</span>  </div> |
| <div class="line"><a name="l03066"></a><span class="lineno"> 3066</span>  <span class="comment">// Assign the pre-compiled object to layer</span></div> |
| <div class="line"><a name="l03067"></a><span class="lineno"> 3067</span>  <span class="comment">// Pass only one compiled network, Arm NN does not handle multiple</span></div> |
| <div class="line"><a name="l03068"></a><span class="lineno"> 3068</span>  <span class="comment">// pre-compiled objects in a single pre-compiled layer currently</span></div> |
| <div class="line"><a name="l03069"></a><span class="lineno"> 3069</span>  layer-><a class="code" href="classarmnn_1_1_pre_compiled_layer.html#a1e06bf299b99f9eecb2e8ac5ce7457e2">SetPreCompiledObject</a>(std::move(compiledBlobPtr));</div> |
| <div class="line"><a name="l03070"></a><span class="lineno"> 3070</span>  </div> |
| <div class="line"><a name="l03071"></a><span class="lineno"> 3071</span>  <span class="keywordflow">if</span> (backend.<a class="code" href="classarmnn_1_1_optional_base.html#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>())</div> |
| <div class="line"><a name="l03072"></a><span class="lineno"> 3072</span>  {</div> |
| <div class="line"><a name="l03073"></a><span class="lineno"> 3073</span>  layer-><a class="code" href="classarmnn_1_1_layer.html#a316670cb6b65902e017c32ca4bcb4b98">SetBackendId</a>(backend.<a class="code" href="classarmnn_1_1_optional_reference_switch.html#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div> |
| <div class="line"><a name="l03074"></a><span class="lineno"> 3074</span>  }</div> |
| <div class="line"><a name="l03075"></a><span class="lineno"> 3075</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (layer-><a class="code" href="classarmnn_1_1_layer.html#a6ff80e440308295056b57e2adaa42888">GetBackendHint</a>().has_value())</div> |
| <div class="line"><a name="l03076"></a><span class="lineno"> 3076</span>  {</div> |
| <div class="line"><a name="l03077"></a><span class="lineno"> 3077</span>  layer-><a class="code" href="classarmnn_1_1_layer.html#a316670cb6b65902e017c32ca4bcb4b98">SetBackendId</a>(layer-><a class="code" href="classarmnn_1_1_layer.html#a6ff80e440308295056b57e2adaa42888">GetBackendHint</a>().value());</div> |
| <div class="line"><a name="l03078"></a><span class="lineno"> 3078</span>  }</div> |
| <div class="line"><a name="l03079"></a><span class="lineno"> 3079</span>  </div> |
| <div class="line"><a name="l03080"></a><span class="lineno"> 3080</span>  <span class="keywordflow">return</span> layer;</div> |
| <div class="line"><a name="l03081"></a><span class="lineno"> 3081</span> }</div> |
| <div class="line"><a name="l03082"></a><span class="lineno"> 3082</span>  </div> |
| <div class="line"><a name="l03083"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a35e19d74e14ce4cec0261b799a39c921"> 3083</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a35e19d74e14ce4cec0261b799a39c921">NetworkImpl::AddBroadcastToLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_broadcast_to_descriptor.html">BroadcastToDescriptor</a> &desc, <span class="keyword">const</span> <span class="keywordtype">char</span> *name)</div> |
| <div class="line"><a name="l03084"></a><span class="lineno"> 3084</span> {</div> |
| <div class="line"><a name="l03085"></a><span class="lineno"> 3085</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_broadcast_to_layer.html">BroadcastToLayer</a>>(desc, name);</div> |
| <div class="line"><a name="l03086"></a><span class="lineno"> 3086</span> }</div> |
| <div class="line"><a name="l03087"></a><span class="lineno"> 3087</span>  </div> |
| <div class="line"><a name="l03088"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a72032c65bf8b8acf09b564b7d80078c5"> 3088</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_network_impl.html#a72032c65bf8b8acf09b564b7d80078c5">NetworkImpl::ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.html">IStrategy</a>& strategy)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l03089"></a><span class="lineno"> 3089</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l03090"></a><span class="lineno"> 3090</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> layer : <a class="code" href="classarmnn_1_1_network_impl.html#afe0a4f719f9752a405e71878da7012ba">GetGraph</a>())</div> |
| <div class="line"><a name="l03091"></a><span class="lineno"> 3091</span>  {</div> |
| <div class="line"><a name="l03092"></a><span class="lineno"> 3092</span>  layer->ExecuteStrategy(strategy);</div> |
| <div class="line"><a name="l03093"></a><span class="lineno"> 3093</span>  };</div> |
| <div class="line"><a name="l03094"></a><span class="lineno"> 3094</span> }</div> |
| <div class="line"><a name="l03095"></a><span class="lineno"> 3095</span>  </div> |
| <div class="line"><a name="l03096"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimized_network_impl.html#aef978fb468fb765301a95c7c0a936926"> 3096</a></span> <a class="code" href="classarmnn_1_1_optimized_network_impl.html#aef978fb468fb765301a95c7c0a936926">OptimizedNetworkImpl::OptimizedNetworkImpl</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optimized_network_impl.html">OptimizedNetworkImpl</a>& other, <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a>& modelOptions)</div> |
| <div class="line"><a name="l03097"></a><span class="lineno"> 3097</span>  : m_Graph(new <a class="code" href="classarmnn_1_1_graph.html">Graph</a>(*other.m_Graph.get()))</div> |
| <div class="line"><a name="l03098"></a><span class="lineno"> 3098</span>  , m_Guid(<a class="code" href="namespacearm.html">arm</a>::pipe::IProfilingService::GetNextGuid())</div> |
| <div class="line"><a name="l03099"></a><span class="lineno"> 3099</span>  , m_ModelOptions(modelOptions)</div> |
| <div class="line"><a name="l03100"></a><span class="lineno"> 3100</span> {</div> |
| <div class="line"><a name="l03101"></a><span class="lineno"> 3101</span> }</div> |
| <div class="line"><a name="l03102"></a><span class="lineno"> 3102</span>  </div> |
| <div class="line"><a name="l03103"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimized_network_impl.html#afc73993a557309c43043aa0592fd7981"> 3103</a></span> <a class="code" href="classarmnn_1_1_optimized_network_impl.html#aef978fb468fb765301a95c7c0a936926">OptimizedNetworkImpl::OptimizedNetworkImpl</a>(std::unique_ptr<Graph> graph)</div> |
| <div class="line"><a name="l03104"></a><span class="lineno"> 3104</span>  : m_Graph(<a class="code" href="namespacestd.html">std</a>::move(graph)), m_Guid(<a class="code" href="namespacearm.html">arm</a>::pipe::IProfilingService::GetNextGuid())</div> |
| <div class="line"><a name="l03105"></a><span class="lineno"> 3105</span> {</div> |
| <div class="line"><a name="l03106"></a><span class="lineno"> 3106</span> }</div> |
| <div class="line"><a name="l03107"></a><span class="lineno"> 3107</span>  </div> |
| <div class="line"><a name="l03108"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimized_network_impl.html#a9a2e9e1491ef82892e7ea2308957ff44"> 3108</a></span> <a class="code" href="classarmnn_1_1_optimized_network_impl.html#aef978fb468fb765301a95c7c0a936926">OptimizedNetworkImpl::OptimizedNetworkImpl</a>(std::unique_ptr<Graph> graph, <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a>& modelOptions)</div> |
| <div class="line"><a name="l03109"></a><span class="lineno"> 3109</span>  : m_Graph(<a class="code" href="namespacestd.html">std</a>::move(graph)), m_Guid(<a class="code" href="namespacearm.html">arm</a>::pipe::IProfilingService::GetNextGuid()), m_ModelOptions(modelOptions)</div> |
| <div class="line"><a name="l03110"></a><span class="lineno"> 3110</span> {</div> |
| <div class="line"><a name="l03111"></a><span class="lineno"> 3111</span> }</div> |
| <div class="line"><a name="l03112"></a><span class="lineno"> 3112</span>  </div> |
| <div class="line"><a name="l03113"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimized_network_impl.html#a06d0b70cbc134b412ff7715d9db1617b"> 3113</a></span> <a class="code" href="classarmnn_1_1_optimized_network_impl.html#a06d0b70cbc134b412ff7715d9db1617b">OptimizedNetworkImpl::~OptimizedNetworkImpl</a>()</div> |
| <div class="line"><a name="l03114"></a><span class="lineno"> 3114</span> {</div> |
| <div class="line"><a name="l03115"></a><span class="lineno"> 3115</span> }</div> |
| <div class="line"><a name="l03116"></a><span class="lineno"> 3116</span>  </div> |
| <div class="line"><a name="l03117"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_optimized_network.html#a72032c65bf8b8acf09b564b7d80078c5"> 3117</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_i_optimized_network.html#a72032c65bf8b8acf09b564b7d80078c5">IOptimizedNetwork::ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.html">IStrategy</a> &strategy)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l03118"></a><span class="lineno"> 3118</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l03119"></a><span class="lineno"> 3119</span>  <a class="code" href="classarmnn_1_1_i_optimized_network.html#a374d52340ec8dc02a819acc20fb5aa92">pOptimizedNetworkImpl</a>->ExecuteStrategy(strategy);</div> |
| <div class="line"><a name="l03120"></a><span class="lineno"> 3120</span> }</div> |
| <div class="line"><a name="l03121"></a><span class="lineno"> 3121</span>  </div> |
| <div class="line"><a name="l03122"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimized_network_impl.html#a72032c65bf8b8acf09b564b7d80078c5"> 3122</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_optimized_network_impl.html#a72032c65bf8b8acf09b564b7d80078c5">OptimizedNetworkImpl::ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.html">IStrategy</a> &strategy)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l03123"></a><span class="lineno"> 3123</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l03124"></a><span class="lineno"> 3124</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> layer : <a class="code" href="classarmnn_1_1_optimized_network_impl.html#a49800ad35ea869aa5569519760d3b339">GetGraph</a>())</div> |
| <div class="line"><a name="l03125"></a><span class="lineno"> 3125</span>  {</div> |
| <div class="line"><a name="l03126"></a><span class="lineno"> 3126</span>  layer->ExecuteStrategy(strategy);</div> |
| <div class="line"><a name="l03127"></a><span class="lineno"> 3127</span>  };</div> |
| <div class="line"><a name="l03128"></a><span class="lineno"> 3128</span> }</div> |
| <div class="line"><a name="l03129"></a><span class="lineno"> 3129</span>  </div> |
| <div class="line"><a name="l03130"></a><span class="lineno"> 3130</span> } <span class="comment">// namespace armnn</span></div> |
| </div><!-- fragment --></div><!-- contents --> |
| </div><!-- doc-content --> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a8a3380be13fba749fc4208214b049347"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00474">Network.cpp:474</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_input_layer_html"><div class="ttname"><a href="classarmnn_1_1_input_layer.html">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.html#l00013">InputLayer.hpp:13</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_af1853466264ac187607c96b501a74e2b"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02273">Network.cpp:2273</a></div></div> |
| <div class="ttc" id="a_assert_8hpp_html_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.html#l00014">Assert.hpp:14</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_normalization_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.html">armnn::BatchNormalizationDescriptor</a></div><div class="ttdoc">A BatchNormalizationDescriptor for the BatchNormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00828">Descriptors.hpp:828</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a41fd7b56923d5625bac2cbfebed1a393"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02666">Network.cpp:2666</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ace74f6f9feb95a964a49d79458232703"><div class="ttname"><a href="namespacearmnn.html#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.html#l00339">INetwork.hpp:339</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a10c50bc964cc8cc559eebcd7df5a8af3a5a3e0409dae79a7940aade8d399dcd5d"><div class="ttname"><a href="namespacearmnn.html#a10c50bc964cc8cc559eebcd7df5a8af3a5a3e0409dae79a7940aade8d399dcd5d">armnn::CapabilityClass::FallbackImportDisabled</a></div><div class="ttdeci">@ FallbackImportDisabled</div></div> |
| <div class="ttc" id="anamespacearmnn_1_1optimizations_html_a9c0a3a9a388a01bc21e20a16e70055f0"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#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.html#l00054">AddDebug.hpp:54</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_af6b8b1eccd67565e345e3977a4adc195"><div class="ttname"><a href="classarmnn_1_1_i_network.html#af6b8b1eccd67565e345e3977a4adc195">armnn::INetwork::AddReverseV2Layer</a></div><div class="ttdeci">IConnectableLayer * AddReverseV2Layer(const char *name=nullptr)</div><div class="ttdoc">Add a ReverseV2 layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00649">Network.cpp:649</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_optimization_result_html_a41a657cfacb52a80a73575c5c730ab88"><div class="ttname"><a href="structarmnn_1_1_optimization_result.html#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.html#l00263">Network.hpp:263</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a674efcf6cbdb9e831d653ff0e821fb38"><div class="ttname"><a href="namespacearmnn.html#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.html#l00340">INetwork.hpp:340</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_optimized_network_html_a72032c65bf8b8acf09b564b7d80078c5"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.html#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.html#l03117">Network.cpp:3117</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ac39f2b15d34d3e2fc74d586fc3e26231"><div class="ttname"><a href="namespacearmnn.html#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.html#l01328">Network.cpp:1328</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_parameters_html_a281954ff495d27f7a29e42a98768c670"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#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.html#l00017">QuantizedLstmLayer.hpp:17</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_ae83131e16df1cace69395a5f99bc5ecb"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#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.html#l00045">LstmParams.hpp:45</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_a8c0b43721b8e82c9518e4a53b47c78e4"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#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.html#l00116">Network.cpp:116</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a1aa567f46c30960851c02847dc7b4215"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00468">Network.cpp:468</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a72032c65bf8b8acf09b564b7d80078c5"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00666">Network.cpp:666</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a1ff7534e1254dfb3ef8288194cca7ce3"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02887">Network.cpp:2887</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360"><div class="ttname"><a href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">armnn::Compute::Undefined</a></div><div class="ttdeci">@ Undefined</div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_html_a1691bf16df2cabf1a4b82aecbb021f31"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html#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.html#l00113">QuantizedLstmParams.hpp:113</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_output_slot_html_af29f6883785691ef946d0c32b6d2f338"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#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.html#l00200">Layer.cpp:200</a></div></div> |
| <div class="ttc" id="anamespacearmnn_1_1optimizations_html_aa76c76565125ad77092403176d74fd85"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#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.html#l00053">AddDebug.hpp:53</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_views_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.html">armnn::ViewsDescriptor</a></div><div class="ttdoc">A ViewsDescriptor for the SplitterLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00244">Descriptors.hpp:244</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_a9b18daea2e9f42386055326fd016519a"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#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.html#l00060">LstmParams.hpp:60</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_optimized_network_html_a880db527e7dbf8d0de3fee52ba072482"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.html#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.html#l00715">Network.cpp:715</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">armnn::LayerType::Permute</a></div><div class="ttdeci">@ Permute</div></div> |
| <div class="ttc" id="astructarmnn_1_1_activation_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00036">Descriptors.hpp:36</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a471991a84030eb3ae601da2bee757870"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02233">Network.cpp:2233</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a2acbae0b9e98c94b843677484775c86a"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00616">Network.cpp:616</a></div></div> |
| <div class="ttc" id="anamespacearmnn_1_1optimizations_html_aa52c06792e18dc13030e82476f706f9e"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#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.html#l00222">FuseBatchNorm.hpp:222</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_backend_settings_html"><div class="ttname"><a href="structarmnn_1_1_backend_settings.html">armnn::BackendSettings</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_settings_8hpp_source.html#l00018">BackendSettings.hpp:18</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_rank_layer_html"><div class="ttname"><a href="classarmnn_1_1_rank_layer.html">armnn::RankLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_rank_layer_8hpp_source.html#l00013">RankLayer.hpp:13</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_fully_connected_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.html">armnn::FullyConnectedDescriptor</a></div><div class="ttdoc">A FullyConnectedDescriptor for the FullyConnectedLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00507">Descriptors.hpp:507</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_af6b8b1eccd67565e345e3977a4adc195"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#af6b8b1eccd67565e345e3977a4adc195">armnn::NetworkImpl::AddReverseV2Layer</a></div><div class="ttdeci">IConnectableLayer * AddReverseV2Layer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l03040">Network.cpp:3040</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_optimization_result_html_a2a35773a5a0e08b180a12205c3e15500"><div class="ttname"><a href="structarmnn_1_1_optimization_result.html#a2a35773a5a0e08b180a12205c3e15500">armnn::OptimizationResult::IsWarningOnly</a></div><div class="ttdeci">bool IsWarningOnly() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.html#l00275">Network.hpp:275</a></div></div> |
| <div class="ttc" id="anamespacearm_html"><div class="ttname"><a href="namespacearm.html">arm</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_registry_8hpp_source.html#l00015">BackendRegistry.hpp:15</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a72f7f58c37d9d856fcb648b5fa68cf59"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00253">Network.cpp:253</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_ae0cfae1ea51669892608a1a060d24fa0"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00444">Network.cpp:444</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a57590d7777211673d2052f702f0b07a1"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00522">Network.cpp:522</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_comparison_layer_html"><div class="ttname"><a href="classarmnn_1_1_comparison_layer.html">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.html#l00014">ComparisonLayer.hpp:14</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_optimizer_options_html_a05c1bba6ba3ecc1339d4c4c10c0d8890"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.html#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.html#l00253">INetwork.hpp:253</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html">armnn::QLstmDescriptor</a></div><div class="ttdoc">A QLstmDescriptor for the QLstmLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01380">Descriptors.hpp:1380</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_factory_html_aef5b0db52e05e12463d094e509fc8b56"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.html#aef5b0db52e05e12463d094e509fc8b56">armnn::ITensorHandleFactory::SupportsMapUnmap</a></div><div class="ttdeci">virtual bool SupportsMapUnmap() const</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_handle_factory_8hpp_source.html#l00088">ITensorHandleFactory.hpp:88</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optional_html"><div class="ttname"><a href="classarmnn_1_1_optional.html">armnn::Optional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.html#l00270">Optional.hpp:270</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_addb6b14dd1b632263ffe77430259a7c4"><div class="ttname"><a href="namespacearmnn.html#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.html#l00013">InternalTypes.cpp:13</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_depth_to_space_layer_html"><div class="ttname"><a href="classarmnn_1_1_depth_to_space_layer.html">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.html#l00014">DepthToSpaceLayer.hpp:14</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_html_a715696f29b5376cbb8aaec0b77a092af"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html#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.html#l00103">QuantizedLstmParams.hpp:103</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_splitter_layer_html"><div class="ttname"><a href="classarmnn_1_1_splitter_layer.html">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.html#l00013">SplitterLayer.hpp:13</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_concat_layer_html"><div class="ttname"><a href="classarmnn_1_1_concat_layer.html">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.html#l00013">ConcatLayer.hpp:13</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b"><div class="ttname"><a href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::Compute::GpuAcc</a></div><div class="ttdeci">@ GpuAcc</div><div class="ttdoc">GPU Execution: OpenCL: ArmCompute.</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_ab067ba4ee9416d93abb8a52f3dc8feba"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02688">Network.cpp:2688</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_profiler_manager_html_a7b1e3e5bf386004541be2b5b22443208"><div class="ttname"><a href="classarmnn_1_1_profiler_manager.html#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.html#l00600">Profiling.cpp:600</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a39f1b38d89c4de186742eafcbb3b1319"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00409">Network.cpp:409</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad31c56533e4f9f9f51719599fbfcf7bb"><div class="ttname"><a href="namespacearmnn.html#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.html#l00040">NetworkUtils.cpp:40</a></div></div> |
| <div class="ttc" id="a_subgraph_view_selector_8hpp_html"><div class="ttname"><a href="_subgraph_view_selector_8hpp.html">SubgraphViewSelector.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_q_lstm_layer_html"><div class="ttname"><a href="classarmnn_1_1_q_lstm_layer.html">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.html#l00079">QLstmLayer.hpp:79</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_graph_html_ad6521013ad981519904822f2ada2c4ec"><div class="ttname"><a href="classarmnn_1_1_graph.html#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.html#l00040">Graph.hpp:40</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_output_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#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.html#l00092">Layer.cpp:92</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a383e74ef080d4a81b8b371be4b840248"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02251">Network.cpp:2251</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_backend_options_1_1_backend_option_html_a9a98946a64f3893b085f650932c9dfee"><div class="ttname"><a href="structarmnn_1_1_backend_options_1_1_backend_option.html#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.html#l00251">BackendOptions.hpp:251</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a35e19d74e14ce4cec0261b799a39c921"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a35e19d74e14ce4cec0261b799a39c921">armnn::NetworkImpl::AddBroadcastToLayer</a></div><div class="ttdeci">IConnectableLayer * AddBroadcastToLayer(const BroadcastToDescriptor &descriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l03083">Network.cpp:3083</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_a2bb6d411e26a7eb77664bd7040e7e8ab"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#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.html#l00096">Network.cpp:96</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimized_network_impl_html_aff3fde909d22ed157046682e70129259"><div class="ttname"><a href="classarmnn_1_1_optimized_network_impl.html#aff3fde909d22ed157046682e70129259">armnn::OptimizedNetworkImpl::PrintGraph</a></div><div class="ttdeci">virtual Status PrintGraph()</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00735">Network.cpp:735</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a8de6b047fcaff95df48dca683e1f3aa4"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00388">Network.cpp:388</a></div></div> |
| <div class="ttc" id="a_device_spec_8hpp_html"><div class="ttname"><a href="_device_spec_8hpp.html">DeviceSpec.hpp</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_a44b0e6b16708df7f0d2bbab141688aaa"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#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.html#l00056">LstmParams.hpp:56</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_aaeb550250a93542aef8ef68fbfdd8e98"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#aaeb550250a93542aef8ef68fbfdd8e98">armnn::NetworkImpl::AddTileLayer</a></div><div class="ttdeci">IConnectableLayer * AddTileLayer(const TileDescriptor &tileDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l03045">Network.cpp:3045</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_normalization_layer_html"><div class="ttname"><a href="classarmnn_1_1_normalization_layer.html">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.html#l00013">NormalizationLayer.hpp:13</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_backend_options_1_1_backend_option_html_a9dd404db54065d13616225910db3dec4"><div class="ttname"><a href="structarmnn_1_1_backend_options_1_1_backend_option.html#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.html#l00252">BackendOptions.hpp:252</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.html">armnn::Pooling3dDescriptor</a></div><div class="ttdoc">A Pooling3dDescriptor for the Pooling3dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00431">Descriptors.hpp:431</a></div></div> |
| <div class="ttc" id="anamespacearmnn_1_1optimizations_html_aa31127c77d2117f78d43ca2958dcae19"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#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.html#l00043">OptimizeInversePermutes.hpp:43</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_backend_settings_html_a552a322b7e66b580caf4652f262687db"><div class="ttname"><a href="structarmnn_1_1_backend_settings.html#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.html#l00023">BackendSettings.hpp:23</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_a1759754ccb88ecc9af44f3aae6e244ee"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#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.html#l00046">LstmParams.hpp:46</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_log_softmax_layer_html"><div class="ttname"><a href="classarmnn_1_1_log_softmax_layer.html">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.html#l00014">LogSoftmaxLayer.hpp:14</a></div></div> |
| <div class="ttc" id="anamespacearmnn_1_1optimizations_html_a98f54d4391347d517c7a7869e7707203"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#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.html#l00104">PermuteAndBatchToSpaceAsDepthToSpace.hpp:104</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a0aeb4e528cf6ba4b7caca14a94fbcafe"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02604">Network.cpp:2604</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_a4a9d678146f572808a361dbdc5489f38"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#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.html#l00053">LstmParams.hpp:53</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_broadcast_to_layer_html"><div class="ttname"><a href="classarmnn_1_1_broadcast_to_layer.html">armnn::BroadcastToLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_broadcast_to_layer_8hpp_source.html#l00013">BroadcastToLayer.hpp:13</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_batch_normalization_layer_html_a2dfc280952c7939299c304fcbf855b97"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.html#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.html#l00019">BatchNormalizationLayer.hpp:19</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_resize_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.html">armnn::ResizeDescriptor</a></div><div class="ttdoc">A ResizeDescriptor for the ResizeLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00985">Descriptors.hpp:985</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_subtraction_layer_html"><div class="ttname"><a href="classarmnn_1_1_subtraction_layer.html">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.html#l00014">SubtractionLayer.hpp:14</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_aff209afc1dc598da399e3e78617ce016a78d1be0baa31e083ae8da99aaedaf650"><div class="ttname"><a href="namespacearmnn.html#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="anamespacearmnn_html_ad52508167694d6d259525b3eec1a4267"><div class="ttname"><a href="namespacearmnn.html#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.html#l01573">Network.cpp:1573</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_a6ff80e440308295056b57e2adaa42888"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00355">Layer.hpp:355</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_arg_min_max_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.html">armnn::ArgMinMaxDescriptor</a></div><div class="ttdoc">An ArgMinMaxDescriptor for ArgMinMaxLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00067">Descriptors.hpp:67</a></div></div> |
| <div class="ttc" id="anamespacearmnn_1_1optimizations_html_a279d0a7c56966cea334303d48a874964"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#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.html#l00283">FoldPadIntoLayer2d.hpp:283</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64"><div class="ttname"><a href="namespacearmnn.html#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="aclassarmnn_1_1_pooling3d_layer_html"><div class="ttname"><a href="classarmnn_1_1_pooling3d_layer.html">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.html#l00013">Pooling3dLayer.hpp:13</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_instance_normalization_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.html">armnn::InstanceNormalizationDescriptor</a></div><div class="ttdoc">An InstanceNormalizationDescriptor for InstanceNormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00847">Descriptors.hpp:847</a></div></div> |
| <div class="ttc" id="anamespacearmnn_1_1optimizations_html_a86d19da62b6cfed3928f6fe7026f22fa"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#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.html#l00087">ConvertFp32NetworkToFp16.hpp:87</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_graph_html_a96d76fd10af39fbfabfd0caf0d1439fa"><div class="ttname"><a href="classarmnn_1_1_graph.html#a96d76fd10af39fbfabfd0caf0d1439fa">armnn::Graph::EraseLayer</a></div><div class="ttdeci">void EraseLayer(Iterator pos)</div><div class="ttdoc">Deletes the layer at the specified position.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.html#l00504">Graph.hpp:504</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_handle_factory_registry_html"><div class="ttname"><a href="classarmnn_1_1_tensor_handle_factory_registry.html">armnn::TensorHandleFactoryRegistry</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_factory_registry_8hpp_source.html#l00023">TensorHandleFactoryRegistry.hpp:23</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_output_slot_html"><div class="ttname"><a href="classarmnn_1_1_output_slot.html">armnn::OutputSlot</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00100">Layer.hpp:100</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_depthwise_convolution2d_layer_html"><div class="ttname"><a href="classarmnn_1_1_depthwise_convolution2d_layer.html">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.html#l00015">DepthwiseConvolution2dLayer.hpp:15</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a39f1b38d89c4de186742eafcbb3b1319"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02360">Network.cpp:2360</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_output_slot_html_a7e5c5771d741dd5473989047a9314728"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#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.html#l00087">Layer.cpp:87</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_gather_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_gather_descriptor.html">armnn::GatherDescriptor</a></div><div class="ttdoc">A GatherDescriptor for the GatherLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00965">Descriptors.hpp:965</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_ad4726f9b7dd11db250d2a494a8a39494"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00529">Network.cpp:529</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_graph_html_aafbd4b469e47160017f409df8d077184"><div class="ttname"><a href="classarmnn_1_1_graph.html#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.html#l00461">Graph.cpp:461</a></div></div> |
| <div class="ttc" id="a_types_utils_8hpp_html"><div class="ttname"><a href="_types_utils_8hpp.html">TypesUtils.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">armnn::LayerType::ConvertFp16ToFp32</a></div><div class="ttdeci">@ ConvertFp16ToFp32</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_handle_factory_registry_html_ae5ecc42140a12c855554a4a621fc8456"><div class="ttname"><a href="classarmnn_1_1_tensor_handle_factory_registry.html#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.html#l00039">TensorHandleFactoryRegistry.cpp:39</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_floor_layer_html"><div class="ttname"><a href="classarmnn_1_1_floor_layer.html">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.html#l00013">FloorLayer.hpp:13</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimized_network_impl_html_a26794f014974a6f963a8925de07bffeb"><div class="ttname"><a href="classarmnn_1_1_optimized_network_impl.html#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.html#l00741">Network.cpp:741</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a357aca04172ed22fa32e5a69122b0fec"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00300">Network.cpp:300</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00152">Tensor.hpp:152</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_optimized_network_html_a8d8179a4a0703602a5d7dbb6e92eaf69"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.html#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.html#l00725">Network.cpp:725</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_ac66bb5773d48442282eeca81b851494f"><div class="ttname"><a href="classarmnn_1_1_i_network.html#ac66bb5773d48442282eeca81b851494f">armnn::INetwork::AddTileLayer</a></div><div class="ttdeci">IConnectableLayer * AddTileLayer(const TileDescriptor &descriptor, const char *name=nullptr)</div><div class="ttdoc">Add a Tile layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00654">Network.cpp:654</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a6f6d81d8a4f1f85f3616e8306760061c"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02344">Network.cpp:2344</a></div></div> |
| <div class="ttc" id="anamespacearmnn_1_1optimizations_html_a8b394ff60ed829a91f07deac476f3db2"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#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.html#l00277">FoldPadIntoLayer2d.hpp:277</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimized_network_impl_html_a72032c65bf8b8acf09b564b7d80078c5"><div class="ttname"><a href="classarmnn_1_1_optimized_network_impl.html#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.html#l03122">Network.cpp:3122</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_l2_normalization_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_descriptor.html">armnn::L2NormalizationDescriptor</a></div><div class="ttdoc">A L2NormalizationDescriptor for the L2NormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00809">Descriptors.hpp:809</a></div></div> |
| <div class="ttc" id="a_all_8hpp_html"><div class="ttname"><a href="_all_8hpp.html">All.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_fused_layer_html"><div class="ttname"><a href="classarmnn_1_1_fused_layer.html">armnn::FusedLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_fused_layer_8hpp_source.html#l00019">FusedLayer.hpp:19</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_mean_layer_html"><div class="ttname"><a href="classarmnn_1_1_mean_layer.html">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.html#l00014">MeanLayer.hpp:14</a></div></div> |
| <div class="ttc" id="a_graph_8hpp_html"><div class="ttname"><a href="_graph_8hpp.html">Graph.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_a4c8ca1fa6bed9a68a78ab00f02d0fb38"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#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.html#l00136">Network.cpp:136</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a72b9d30e9d555bb5c35460b62faedf0d"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00480">Network.cpp:480</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimization_views_html_ad5fee4381bf82ffa37658dddf4d1fa01"><div class="ttname"><a href="classarmnn_1_1_optimization_views.html#ad5fee4381bf82ffa37658dddf4d1fa01">armnn::OptimizationViews::GetFailedSubgraphs</a></div><div class="ttdeci">const Subgraphs & GetFailedSubgraphs() const</div><div class="ttdef"><b>Definition:</b> <a href="_optimization_views_8hpp_source.html#l00059">OptimizationViews.hpp:59</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a81b5ff8545adad19a1c9d4ca076d552c"><div class="ttname"><a href="namespacearmnn.html#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.html#l00233">TypesUtils.hpp:233</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_aaff51346dadec2c1430abf007fed4cc9"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00456">Network.cpp:456</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a71975fcec1464d639f1a78f73164d1bd"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#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.html#l00201">Tensor.hpp:201</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_optimized_network_html_a26794f014974a6f963a8925de07bffeb"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.html#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.html#l00710">Network.cpp:710</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_normalization_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.html">armnn::NormalizationDescriptor</a></div><div class="ttdoc">A NormalizationDescriptor for the NormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00769">Descriptors.hpp:769</a></div></div> |
| <div class="ttc" id="anamespacearmnn_1_1optimizations_html_a4dfbdc8cc90b67e74eccd146d977ff66"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#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.html#l00173">ConvertConstDequantisationLayersToConstLayers.hpp:173</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_optimized_network_html_aa1b6106cb25d38e369fd647f4324cebe"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.html#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.html#l00720">Network.cpp:720</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_af7a1f38591d1a19952ac13515becc894"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#af7a1f38591d1a19952ac13515becc894">armnn::OptimizerOptionsOpaque::GetExportEnabled</a></div><div class="ttdeci">bool GetExportEnabled() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00166">Network.cpp:166</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_af13795cdf49e63d8bc3cb409592cdb9d"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02609">Network.cpp:2609</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_ac7dca3e9f2ab2f2c64b42fc59a67188a"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00258">Network.cpp:258</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_a05c07a263bb054a828db2fe3f841e31f"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#a05c07a263bb054a828db2fe3f841e31f">armnn::OptimizerOptionsOpaque::~OptimizerOptionsOpaque</a></div><div class="ttdeci">~OptimizerOptionsOpaque()</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_optimized_network_html_aff3fde909d22ed157046682e70129259"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.html#aff3fde909d22ed157046682e70129259">armnn::IOptimizedNetwork::PrintGraph</a></div><div class="ttdeci">Status PrintGraph()</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00705">Network.cpp:705</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_ac5c93cad39a690af862d49ffaec0d3c0"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02634">Network.cpp:2634</a></div></div> |
| <div class="ttc" id="anamespacearmnn_1_1optimizations_html_a5918588fa316cf4c23f1cf02c81ee706"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#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.html#l00083">MoveTransposeUp.hpp:83</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_channel_shuffle_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.html">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.html#l01562">Descriptors.hpp:1562</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a83b33973ca12078166b2436b313627b9"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02425">Network.cpp:2425</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_ad443897d51b291c83d81d809af07f4e0"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#ad443897d51b291c83d81d809af07f4e0">armnn::NetworkImpl::~NetworkImpl</a></div><div class="ttdeci">~NetworkImpl()</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02178">Network.cpp:2178</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_unidirectional_sequence_lstm_layer_html_a8838b317568861294a9df608221f185e"><div class="ttname"><a href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#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.html#l00020">UnidirectionalSequenceLstmLayer.hpp:20</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_graph_html_a6cc2c46f05be1d3bf113d632aed1e496"><div class="ttname"><a href="classarmnn_1_1_graph.html#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.html#l00581">Graph.cpp:581</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a471991a84030eb3ae601da2bee757870"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00332">Network.cpp:332</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div><div class="ttdeci">@ Float32</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_optimized_network_html"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.html">armnn::IOptimizedNetwork</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00901">INetwork.hpp:901</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_ad4726f9b7dd11db250d2a494a8a39494"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02614">Network.cpp:2614</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimized_network_impl_html_a49800ad35ea869aa5569519760d3b339"><div class="ttname"><a href="classarmnn_1_1_optimized_network_impl.html#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.html#l00027">OptimizedNetworkImpl.hpp:27</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_optimization_result_html_aca1654c65182fe4e7d5fd45f556fcd57"><div class="ttname"><a href="structarmnn_1_1_optimization_result.html#aca1654c65182fe4e7d5fd45f556fcd57">armnn::OptimizationResult::IsError</a></div><div class="ttdeci">bool IsError() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.html#l00277">Network.hpp:277</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_transpose_convolution2d_layer_html"><div class="ttname"><a href="classarmnn_1_1_transpose_convolution2d_layer.html">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.html#l00015">TransposeConvolution2dLayer.hpp:15</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_ad97411f1fcb2c30c212483d8c673506f"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02403">Network.cpp:2403</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_prelu_layer_html"><div class="ttname"><a href="classarmnn_1_1_prelu_layer.html">armnn::PreluLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_prelu_layer_8hpp_source.html#l00014">PreluLayer.hpp:14</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_aead50fe5965878e58cfdbe782736fa2a"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00643">Network.cpp:643</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_factory_html_a9892b82652ffac03f1e4e7ad93906078"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.html#a9892b82652ffac03f1e4e7ad93906078">armnn::ITensorHandleFactory::GetExportFlags</a></div><div class="ttdeci">virtual MemorySourceFlags GetExportFlags() const</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_handle_factory_8hpp_source.html#l00090">ITensorHandleFactory.hpp:90</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_gather_layer_html"><div class="ttname"><a href="classarmnn_1_1_gather_layer.html">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.html#l00014">GatherLayer.hpp:14</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_html_a23d6133552ba91cc0571517896792ea4"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html#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.html#l00058">QuantizedLstmParams.hpp:58</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00339">Layer.hpp:339</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_backend_options_1_1_backend_option_html"><div class="ttname"><a href="structarmnn_1_1_backend_options_1_1_backend_option.html">armnn::BackendOptions::BackendOption</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.html#l00215">BackendOptions.hpp:215</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_aac024dacf704e6933d1a6b18d5330738"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#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.html#l00196">Network.cpp:196</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a839ad76f1f52a70b540805b231f05d9c"><div class="ttname"><a href="namespacearmnn.html#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.html#l01186">Network.cpp:1186</a></div></div> |
| <div class="ttc" id="anamespacearmnn_1_1optimizations_html_abe2f78445ce58bc35eff698bf77f42d0"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#abe2f78445ce58bc35eff698bf77f42d0">armnn::optimizations::BroadcastToOptimizationLayer</a></div><div class="ttdeci">OptimizeForType< BroadcastToLayer, DeleteBroadcastToImpl > BroadcastToOptimizationLayer</div><div class="ttdef"><b>Definition:</b> <a href="_delete_broadcast_to_8hpp_source.html#l00038">DeleteBroadcastTo.hpp:38</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a83b33973ca12078166b2436b313627b9"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00462">Network.cpp:462</a></div></div> |
| <div class="ttc" id="a_deprecated_8hpp_html_ab66a241a0ed3ee89c866e777b035d0ed"><div class="ttname"><a href="_deprecated_8hpp.html#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.html#l00033">Deprecated.hpp:33</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a7b74bd646ccf7ee6eaf3e23a958606ff"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l03035">Network.cpp:3035</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_graph_html_acc25db0641c1c22faf95af3bb49080c9"><div class="ttname"><a href="classarmnn_1_1_graph.html#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.html#l00053">Graph.hpp:53</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_afe204ca375b74e9a72640c9227918d0a"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#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.html#l00050">LstmParams.hpp:50</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a0a2fdd4f442952c97a8f24de6700473a"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02463">Network.cpp:2463</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_ae0cfae1ea51669892608a1a060d24fa0"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02397">Network.cpp:2397</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_a49e11acda22742cbaf6f1b259ead0d84"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#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.html#l00042">LstmParams.hpp:42</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a1aa567f46c30960851c02847dc7b4215"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02431">Network.cpp:2431</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div><div class="ttdeci">@ QAsymmU8</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_a3cb5ef29e47f60acd88b16d6fee254f5"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#a3cb5ef29e47f60acd88b16d6fee254f5">armnn::OptimizerOptionsOpaque::GetImportEnabled</a></div><div class="ttdeci">bool GetImportEnabled() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00161">Network.cpp:161</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_arg_min_max_layer_html"><div class="ttname"><a href="classarmnn_1_1_arg_min_max_layer.html">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.html#l00014">ArgMinMaxLayer.hpp:14</a></div></div> |
| <div class="ttc" id="anamespacearmnn_1_1optimizations_html_ae0b1382e3af141896a46531c50e8863f"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#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.html#l00066">PermuteAsReshape.hpp:66</a></div></div> |
| <div class="ttc" id="a_backend_registry_8hpp_html"><div class="ttname"><a href="_backend_registry_8hpp.html">BackendRegistry.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_subgraph_view_html_a308b86dbdd0a745cef76904674c9850f"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.html#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.html#l00064">SubgraphView.hpp:64</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a></div><div class="ttdeci">@ QSymmS8</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a070307e9ee0f7969f7d4320145d1dddb"><div class="ttname"><a href="namespacearmnn.html#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.html#l00768">Network.cpp:768</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_stack_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.html">armnn::StackDescriptor</a></div><div class="ttdoc">A StackDescriptor for the StackLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01251">Descriptors.hpp:1251</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a0b49aa352b84d572942185ce72cef751"><div class="ttname"><a href="namespacearmnn.html#a0b49aa352b84d572942185ce72cef751">armnn::Half</a></div><div class="ttdeci">half_float::half Half</div><div class="ttdef"><b>Definition:</b> <a href="_half_8hpp_source.html#l00022">Half.hpp:22</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_a41297bcbc0f576cba32fabcdb2f893b8"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#a41297bcbc0f576cba32fabcdb2f893b8">armnn::OptimizerOptionsOpaque::GetReduceFp32ToBf16</a></div><div class="ttdeci">bool GetReduceFp32ToBf16() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00176">Network.cpp:176</a></div></div> |
| <div class="ttc" id="a_ignore_unused_8hpp_html"><div class="ttname"><a href="_ignore_unused_8hpp.html">IgnoreUnused.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_ab534dfa7f086a5f09fd9e3734ca6ab28"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00671">Network.cpp:671</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_stack_layer_html"><div class="ttname"><a href="classarmnn_1_1_stack_layer.html">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.html#l00013">StackLayer.hpp:13</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_ac6771c8752811fcfa91b3f0dee748144"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02279">Network.cpp:2279</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_backend_internal_html"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.html">armnn::IBackendInternal</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8hpp_source.html#l00077">IBackendInternal.hpp:77</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_af5f530544d09a44d726f24702b67b35b"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00258">Layer.hpp:258</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_optimizer_options_html_a6e1a42622ca43dafc7ba8e684c016eb4"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.html#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.html#l00237">INetwork.hpp:237</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimized_network_impl_html_a06d0b70cbc134b412ff7715d9db1617b"><div class="ttname"><a href="classarmnn_1_1_optimized_network_impl.html#a06d0b70cbc134b412ff7715d9db1617b">armnn::OptimizedNetworkImpl::~OptimizedNetworkImpl</a></div><div class="ttdeci">virtual ~OptimizedNetworkImpl()</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l03113">Network.cpp:3113</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_output_slot_html_adcfb97035799ea4c043f9ef370714815"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#adcfb97035799ea4c043f9ef370714815">armnn::OutputSlot::Connect</a></div><div class="ttdeci">int Connect(InputSlot &destination)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00112">Layer.cpp:112</a></div></div> |
| <div class="ttc" id="anamespacearmnn_1_1optimizations_html_a17d1279f5f8e3b92c328b1ed3b6fd549"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#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.html#l00102">PermuteAndBatchToSpaceAsDepthToSpace.hpp:102</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_strategy_html"><div class="ttname"><a href="classarmnn_1_1_i_strategy.html">armnn::IStrategy</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_strategy_8hpp_source.html#l00016">IStrategy.hpp:16</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimized_network_impl_html_aef978fb468fb765301a95c7c0a936926"><div class="ttname"><a href="classarmnn_1_1_optimized_network_impl.html#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.html#l03096">Network.cpp:3096</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_batch_normalization_layer_html"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.html">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.html#l00015">BatchNormalizationLayer.hpp:15</a></div></div> |
| <div class="ttc" id="a_optimizer_8hpp_html"><div class="ttname"><a href="_optimizer_8hpp.html">Optimizer.hpp</a></div></div> |
| <div class="ttc" id="a_assert_8hpp_html_a91c4dfde57907d7698c7531785690a7f"><div class="ttname"><a href="_assert_8hpp.html#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.html#l00015">Assert.hpp:15</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a6d614a503a34ea3712b388aa4340ddbe"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00574">Network.cpp:574</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_a70dc46a7e4105cf24df5a5bb58ae07a5"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#a70dc46a7e4105cf24df5a5bb58ae07a5">armnn::OptimizerOptionsOpaque::GetReduceFp32ToFp16</a></div><div class="ttdeci">bool GetReduceFp32ToFp16() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00171">Network.cpp:171</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_acbf7c9a630f03ece800f807d946239ab"><div class="ttname"><a href="namespacearmnn.html#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.html#l01812">Network.cpp:1812</a></div></div> |
| <div class="ttc" id="a_tensor_handle_factory_registry_8hpp_html"><div class="ttname"><a href="_tensor_handle_factory_registry_8hpp.html">TensorHandleFactoryRegistry.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_batch_to_space_nd_layer_html"><div class="ttname"><a href="classarmnn_1_1_batch_to_space_nd_layer.html">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.html#l00013">BatchToSpaceNdLayer.hpp:13</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_af5790069aa11fd1c5bb2e17cecb06528"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00496">Network.cpp:496</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_ac7dca3e9f2ab2f2c64b42fc59a67188a"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02209">Network.cpp:2209</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00337">Layer.hpp:337</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a72032c65bf8b8acf09b564b7d80078c5"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l03088">Network.cpp:3088</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div><div class="ttdeci">@ QSymmS16</div></div> |
| <div class="ttc" id="a_workload_factory_8hpp_html"><div class="ttname"><a href="_workload_factory_8hpp.html">WorkloadFactory.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_ac5c93cad39a690af862d49ffaec0d3c0"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00545">Network.cpp:545</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimized_network_impl_html"><div class="ttname"><a href="classarmnn_1_1_optimized_network_impl.html">armnn::OptimizedNetworkImpl</a></div><div class="ttdef"><b>Definition:</b> <a href="_optimized_network_impl_8hpp_source.html#l00011">OptimizedNetworkImpl.hpp:11</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a08f9f3cdeb77b6a0c615e8fa48f0ee94"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a08f9f3cdeb77b6a0c615e8fa48f0ee94">armnn::INetwork::AddFusedLayer</a></div><div class="ttdeci">IConnectableLayer * AddFusedLayer(const FusedDescriptor &fusedDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a Fused layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00338">Network.cpp:338</a></div></div> |
| <div class="ttc" id="anamespacearmnn_1_1optimizations_html_aafc70d5af99400ff5ea7991825658b2f"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#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.html#l00083">MovePermuteUp.hpp:83</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_ace7a1f1f1041b412b7d8ef82b95ff352"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#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.html#l00052">LstmParams.hpp:52</a></div></div> |
| <div class="ttc" id="anamespacearmnn_1_1optimizations_html_a1a9d718b48612b5817a3c369f9fd71ee"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#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.html#l00042">OptimizeInverseConversions.hpp:42</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a26e69cda5fe9642f9198c24ae5fdf9bc"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02656">Network.cpp:2656</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_optimization_result_html"><div class="ttname"><a href="structarmnn_1_1_optimization_result.html">armnn::OptimizationResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.html#l00260">Network.hpp:260</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a19bad0cc50526ca9f4f84a688812cdf5"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02452">Network.cpp:2452</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_factory_html_a9c95f90eb40e31f629e0e2947b8bc6f9"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.html#a9c95f90eb40e31f629e0e2947b8bc6f9">armnn::ITensorHandleFactory::LegacyFactoryId</a></div><div class="ttdeci">static const FactoryId LegacyFactoryId</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_handle_factory_8hpp_source.html#l00050">ITensorHandleFactory.hpp:50</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a435ea88480b8645026dd45fd692663a1"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02458">Network.cpp:2458</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a30528a3bd85a0dba158bd14e252bd68a"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00392">Network.cpp:392</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_minimum_layer_html"><div class="ttname"><a href="classarmnn_1_1_minimum_layer.html">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.html#l00014">MinimumLayer.hpp:14</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_backend_settings_html_aa09ac75b83067c5ed455f2bb35c7c98d"><div class="ttname"><a href="structarmnn_1_1_backend_settings.html#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.html#l00022">BackendSettings.hpp:22</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a11f49d84f0cfd8df65f4d5206cd43b6d"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00344">Network.cpp:344</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_convolution2d_layer_html"><div class="ttname"><a href="classarmnn_1_1_convolution2d_layer.html">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.html#l00015">Convolution2dLayer.hpp:15</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_a484bafa2f8453a7c5a4a00b92a61b006"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#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.html#l00048">LstmParams.hpp:48</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_exception_html_abf843cbb29dec939d0731e491bab6f70"><div class="ttname"><a href="classarmnn_1_1_exception.html#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.html#l00032">Exceptions.cpp:32</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">armnn::LayerType::ConvertFp32ToFp16</a></div><div class="ttdeci">@ ConvertFp32ToFp16</div></div> |
| <div class="ttc" id="astructarmnn_1_1_optimization_result_html_a955b65059e7f9429a5d6041136bc1487"><div class="ttname"><a href="structarmnn_1_1_optimization_result.html#a955b65059e7f9429a5d6041136bc1487">armnn::OptimizationResult::IsOk</a></div><div class="ttdeci">bool IsOk() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.html#l00273">Network.hpp:273</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a11f49d84f0cfd8df65f4d5206cd43b6d"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02296">Network.cpp:2296</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a25563024ec66627ee83727244a53e944"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02392">Network.cpp:2392</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html"><div class="ttname"><a href="classarmnn_1_1_layer.html">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00230">Layer.hpp:230</a></div></div> |
| <div class="ttc" id="a_logging_8hpp_html_a7b6ad073975f437ec38ca7d20154727f"><div class="ttname"><a href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a></div><div class="ttdeci">#define ARMNN_LOG(severity)</div><div class="ttdef"><b>Definition:</b> <a href="_logging_8hpp_source.html#l00212">Logging.hpp:212</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_ab067ba4ee9416d93abb8a52f3dc8feba"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00587">Network.cpp:587</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_aff209afc1dc598da399e3e78617ce016ac366da48cc11956ae377a77751936852"><div class="ttname"><a href="namespacearmnn.html#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_optimizer_options_opaque_html_a4d0994094ec68328df73a00304fb4af6"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#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.html#l00201">Network.cpp:201</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_adc8c1c505bca8233fe238b3b7fb80200"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02320">Network.cpp:2320</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_factory_html_a73fbbe9df988c8cabddea04a8dcb9323"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.html#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="_i_tensor_handle_factory_8hpp_source.html#l00093">ITensorHandleFactory.hpp:93</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tile_layer_html"><div class="ttname"><a href="classarmnn_1_1_tile_layer.html">armnn::TileLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_tile_layer_8hpp_source.html#l00013">TileLayer.hpp:13</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_acad25c09a856d551c88b183f08edc2c1"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#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.html#l00141">Network.cpp:141</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_elementwise_binary_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_elementwise_binary_descriptor.html">armnn::ElementwiseBinaryDescriptor</a></div><div class="ttdoc">A ElementwiseBinaryDescriptor for the ElementwiseBinaryLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00109">Descriptors.hpp:109</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a5210b3df77e7a51ab369b577de821aa2"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00598">Network.cpp:598</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_transpose_layer_html"><div class="ttname"><a href="classarmnn_1_1_transpose_layer.html">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.html#l00015">TransposeLayer.hpp:15</a></div></div> |
| <div class="ttc" id="a_assert_8hpp_html"><div class="ttname"><a href="_assert_8hpp.html">Assert.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_addition_layer_html"><div class="ttname"><a href="classarmnn_1_1_addition_layer.html">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.html#l00013">AdditionLayer.hpp:13</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a1ec6b4c20ed294a96cf94c33c24caaf5"><div class="ttname"><a href="namespacearmnn.html#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.html#l01309">Network.cpp:1309</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a9a9bcc00ae3d96343c93b437d6f77088"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02193">Network.cpp:2193</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a6d614a503a34ea3712b388aa4340ddbe"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02661">Network.cpp:2661</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_optimizer_options_html_a9416d94a8aad7cdfa47eb35e825cbda5"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.html#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.html#l00250">INetwork.hpp:250</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_a6e30c7b3451da3ea9cf4259fb602e6e6"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#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.html#l00043">LstmParams.hpp:43</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_aee282f8e3379d3f5bed1032d20884248"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00362">Network.cpp:362</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_subgraph_view_html_ad7c7687cd3542e5cbb45e56f9a9456e7"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.html#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.html#l00062">SubgraphView.hpp:62</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_aba22dcdeed6e7c489aea6eb798c0a10a"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02893">Network.cpp:2893</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a30528a3bd85a0dba158bd14e252bd68a"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02338">Network.cpp:2338</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a4de71c3661093e5c4ae7775114f43413"><div class="ttname"><a href="namespacearmnn.html#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.html#l00016">BackendOptions.hpp:16</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_a35b112e30c3eb153806a2a8c16d178e3"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#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.html#l00049">LstmParams.hpp:49</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_fused_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_fused_descriptor.html">armnn::FusedDescriptor</a></div><div class="ttdoc">A FusedDescriptor for the FusedLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00944">Descriptors.hpp:944</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_output_slot_html_a7ddaf04177053a536f0e7be83a642bc6"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#a7ddaf04177053a536f0e7be83a642bc6">armnn::OutputSlot::GetOwningLayer</a></div><div class="ttdeci">Layer & GetOwningLayer() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00132">Layer.hpp:132</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a8f798e19187ac7ae6ae6153ee64ab645"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02375">Network.cpp:2375</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_graph_html_a2387033802383edbdc95f9bbb12a707e"><div class="ttname"><a href="classarmnn_1_1_graph.html#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.html#l00169">Graph.hpp:169</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_aba22dcdeed6e7c489aea6eb798c0a10a"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00629">Network.cpp:629</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_af1853466264ac187607c96b501a74e2b"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00285">Network.cpp:285</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_reshape_layer_html"><div class="ttname"><a href="classarmnn_1_1_reshape_layer.html">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.html#l00015">ReshapeLayer.hpp:15</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_html_a94645f29b99800c2e57acc4832519a53"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html#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.html#l00093">QuantizedLstmParams.hpp:93</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div><div class="ttdeci">@ Float16</div></div> |
| <div class="ttc" id="anamespacearmnn_1_1optimizations_html_a226cef3d775179e25ee35d231f4e8fae"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#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.html#l00099">ConvertConstants.hpp:99</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_a435d3651482bbfcc11263b4e4e0c900f"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#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.html#l00044">LstmParams.hpp:44</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_subgraph_view_selector_html_a3730b0a6006f0d87f894a44e01869d90"><div class="ttname"><a href="classarmnn_1_1_subgraph_view_selector.html#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.html#l00259">SubgraphViewSelector.cpp:259</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_subgraph_view_html_a8055e06b4f21d51fd8b4fc22ead2bdf0"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.html#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.html#l00278">SubgraphView.cpp:278</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_abd660675ae5a9df777dcdb30c50224f6"><div class="ttname"><a href="namespacearmnn.html#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.html#l00847">Network.cpp:847</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_aff209afc1dc598da399e3e78617ce016aec0fc0100c4fc1ce4eea230c3dc10360"><div class="ttname"><a href="namespacearmnn.html#aff209afc1dc598da399e3e78617ce016aec0fc0100c4fc1ce4eea230c3dc10360">armnn::EdgeStrategy::Undefined</a></div><div class="ttdeci">@ Undefined</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a0f19808bdada45222e72edf7671a275a"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00404">Network.cpp:404</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_convert_fp32_to_fp16_layer_html"><div class="ttname"><a href="classarmnn_1_1_convert_fp32_to_fp16_layer.html">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.html#l00013">ConvertFp32ToFp16Layer.hpp:13</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_backend_settings_html_a0b160952af61b24d88125d66ed6d43c1"><div class="ttname"><a href="structarmnn_1_1_backend_settings.html#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.html#l00021">BackendSettings.hpp:21</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimize_for_connection_html"><div class="ttname"><a href="classarmnn_1_1_optimize_for_connection.html">armnn::OptimizeForConnection</a></div><div class="ttdef"><b>Definition:</b> <a href="_optimization_8hpp_source.html#l00118">Optimization.hpp:118</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_backend_options_1_1_var_html_a7ef596a0c429a1a74709cf14d8fa15d2"><div class="ttname"><a href="classarmnn_1_1_backend_options_1_1_var.html#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.html#l00124">BackendOptions.hpp:124</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_convert_fp16_to_fp32_layer_html"><div class="ttname"><a href="classarmnn_1_1_convert_fp16_to_fp32_layer.html">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.html#l00014">ConvertFp16ToFp32Layer.hpp:14</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_lstm_layer_html"><div class="ttname"><a href="classarmnn_1_1_lstm_layer.html">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.html#l00016">LstmLayer.hpp:16</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_affcee5f4ab5994a21bee3b78b4e43de3"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#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.html#l00040">LstmParams.hpp:40</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_output_slot_html_ac72a192dfcfa19e6ce826f99b415a11d"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#ac72a192dfcfa19e6ce826f99b415a11d">armnn::OutputSlot::Disconnect</a></div><div class="ttdeci">void Disconnect(InputSlot &slot)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00120">Layer.cpp:120</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_afc94c35c0bbe852a60046bf2e756b2e0"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02227">Network.cpp:2227</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a19bad0cc50526ca9f4f84a688812cdf5"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00486">Network.cpp:486</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_a1ad03005dfb602c109a1b4fed7fca9e3"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#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.html#l00151">Network.cpp:151</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_subgraph_view_html_ad2570202bb366163f8b4660bfe78c49d"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.html#ad2570202bb366163f8b4660bfe78c49d">armnn::SubgraphView::begin</a></div><div class="ttdeci">IConnectableLayerIterator begin()</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8cpp_source.html#l00283">SubgraphView.cpp:283</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_a56b81ca8ba4b4937e0787e4951f043fc"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#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.html#l00047">LstmParams.hpp:47</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_factory_html_ac043d9a6e3f861fc6aa057ff95e56f18"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.html#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="_i_tensor_handle_factory_8hpp_source.html#l00051">ITensorHandleFactory.hpp:51</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_a58fbf98b638ebabb8bad26760f20a554"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#a58fbf98b638ebabb8bad26760f20a554">armnn::OptimizerOptionsOpaque::OptimizerOptionsOpaque</a></div><div class="ttdeci">OptimizerOptionsOpaque()</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00049">Network.cpp:49</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_aee3a15d2fa419f50a8ac45e6d3c11e16"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00368">Network.cpp:368</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_abf625e50a5eaeafce5b39580dc95a9d3"><div class="ttname"><a href="namespacearmnn.html#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.html#l00079">NetworkUtils.cpp:79</a></div></div> |
| <div class="ttc" id="a_logging_8hpp_html"><div class="ttname"><a href="_logging_8hpp.html">Logging.hpp</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pad_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.html">armnn::PadDescriptor</a></div><div class="ttdoc">A PadDescriptor for the PadLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01196">Descriptors.hpp:1196</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_af776e284b9e2c4a3563abb8cf5e8ac5e"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02646">Network.cpp:2646</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_channel_shuffle_layer_html"><div class="ttname"><a href="classarmnn_1_1_channel_shuffle_layer.html">armnn::ChannelShuffleLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_channel_shuffle_layer_8hpp_source.html#l00011">ChannelShuffleLayer.hpp:11</a></div></div> |
| <div class="ttc" id="a_profiling_8hpp_html_a5ccc65e2c464ac05ce311fdae7ede03a"><div class="ttname"><a href="_profiling_8hpp.html#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.html#l00220">Profiling.hpp:220</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_reduce_layer_html"><div class="ttname"><a href="classarmnn_1_1_reduce_layer.html">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.html#l00014">ReduceLayer.hpp:14</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_transpose_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.html">armnn::TransposeDescriptor</a></div><div class="ttdoc">A TransposeDescriptor for the TransposeLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01490">Descriptors.hpp:1490</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_multiplication_layer_html"><div class="ttname"><a href="classarmnn_1_1_multiplication_layer.html">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.html#l00014">MultiplicationLayer.hpp:14</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_output_slot_html_a25b0119c02aece1d341b99953d169c0f"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#a25b0119c02aece1d341b99953d169c0f">armnn::OutputSlot::GetNumConnections</a></div><div class="ttdeci">unsigned int GetNumConnections() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00158">Layer.hpp:158</a></div></div> |
| <div class="ttc" id="a_polymorphic_downcast_8hpp_html"><div class="ttname"><a href="_polymorphic_downcast_8hpp.html">PolymorphicDowncast.hpp</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_empty_optional_html"><div class="ttname"><a href="structarmnn_1_1_empty_optional.html">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.html#l00032">Optional.hpp:32</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_slice_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.html">armnn::SliceDescriptor</a></div><div class="ttdoc">A SliceDescriptor for the SliceLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01228">Descriptors.hpp:1228</a></div></div> |
| <div class="ttc" id="aclassarmnn_utils_1_1_floating_point_converter_html_ac1f1568f02163a68906a0030e0ba9871"><div class="ttname"><a href="classarmnn_utils_1_1_floating_point_converter.html#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.html#l00043">FloatingPointConverter.cpp:43</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00048">Types.hpp:48</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a3cf1cee98e0ed8b54263ec7279f6ec69"><div class="ttname"><a href="namespacearmnn.html#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.html#l00756">Network.cpp:756</a></div></div> |
| <div class="ttc" id="a_i_backend_internal_8hpp_html"><div class="ttname"><a href="_i_backend_internal_8hpp.html">IBackendInternal.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">armnn::LayerType::Softmax</a></div><div class="ttdeci">@ Softmax</div></div> |
| <div class="ttc" id="anamespacearmnn_html_aa52ce4f1fab044ad0c73f9613e2ef6ce"><div class="ttname"><a href="namespacearmnn.html#aa52ce4f1fab044ad0c73f9613e2ef6ce">armnn::CheckFp16Support</a></div><div class="ttdeci">bool CheckFp16Support(BackendsMap &backends, const std::vector< BackendId > &availablePreferredBackends)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l01029">Network.cpp:1029</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a446181daeb60b49cbcfd9f907f974ec1"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02694">Network.cpp:2694</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_a9e081a9b94defb30d1558dc912507e0e"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#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.html#l00051">LstmParams.hpp:51</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a6f6d81d8a4f1f85f3616e8306760061c"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00398">Network.cpp:398</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_af9dd4b5273829b846ab83b3ae7f3defc"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00593">Network.cpp:593</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a095a9b700dc857edc23c5d3bf088919f"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02221">Network.cpp:2221</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_space_to_depth_layer_html"><div class="ttname"><a href="classarmnn_1_1_space_to_depth_layer.html">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.html#l00014">SpaceToDepthLayer.hpp:14</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ac2807505b850738bc8a1991ce669dd47"><div class="ttname"><a href="namespacearmnn.html#ac2807505b850738bc8a1991ce669dd47">armnn::BackendRegistryInstance</a></div><div class="ttdeci">BackendRegistry & BackendRegistryInstance()</div><div class="ttdef"><b>Definition:</b> <a href="_backend_registry_8cpp_source.html#l00015">BackendRegistry.cpp:15</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a8f798e19187ac7ae6ae6153ee64ab645"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00423">Network.cpp:423</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_reshape_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_reshape_descriptor.html">armnn::ReshapeDescriptor</a></div><div class="ttdoc">A ReshapeDescriptor for the ReshapeLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01023">Descriptors.hpp:1023</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_output_layer_html"><div class="ttname"><a href="classarmnn_1_1_output_layer.html">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.html#l00013">OutputLayer.hpp:13</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a2090bf6670b73c69309ed592068aa3af"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02257">Network.cpp:2257</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_af5790069aa11fd1c5bb2e17cecb06528"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02370">Network.cpp:2370</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_html_a928f70dd19a2b0d3e9b75c27a2099c44"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html#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.html#l00068">QuantizedLstmParams.hpp:68</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_invalid_argument_exception_html"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00080">Exceptions.hpp:80</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_optimizer_options_html_a69eb14082d40fa0a3cff50457344a5e0"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.html#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.html#l00240">INetwork.hpp:240</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_html_a63e34dd3e41262e750f7a54de8ca81d1"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html#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.html#l00088">QuantizedLstmParams.hpp:88</a></div></div> |
| <div class="ttc" id="anamespacearmnn_1_1optimizations_html_ad668074369437a111649f51296ff8959"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#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.html#l00124">ConvertConstPermuteLayersToConstLayers.hpp:124</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ab8cf8f9fb6792e654c2d8d8382f6f01b"><div class="ttname"><a href="namespacearmnn.html#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.html#l00309">Types.hpp:309</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a8a3380be13fba749fc4208214b049347"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02440">Network.cpp:2440</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a2acbae0b9e98c94b843677484775c86a"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02745">Network.cpp:2745</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_l2_normalization_layer_html"><div class="ttname"><a href="classarmnn_1_1_l2_normalization_layer.html">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.html#l00013">L2NormalizationLayer.hpp:13</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_optimizer_options_html_a0054f53e4e70bb39c000bcf240627b18"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.html#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.html#l00262">INetwork.hpp:262</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a4bfd8dee1a0315b651e977c672c0847c"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00551">Network.cpp:551</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_aff3fde909d22ed157046682e70129259"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#aff3fde909d22ed157046682e70129259">armnn::NetworkImpl::PrintGraph</a></div><div class="ttdeci">Status PrintGraph()</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02182">Network.cpp:2182</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_backend_id_html_af7445617163d3f07c47b92ae56c6cf8b"><div class="ttname"><a href="classarmnn_1_1_backend_id.html#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.html#l00138">BackendId.hpp:138</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a383e74ef080d4a81b8b371be4b840248"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00272">Network.cpp:272</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_aff209afc1dc598da399e3e78617ce016"><div class="ttname"><a href="namespacearmnn.html#aff209afc1dc598da399e3e78617ce016">armnn::EdgeStrategy</a></div><div class="ttdeci">EdgeStrategy</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_handle_factory_8hpp_source.html#l00104">ITensorHandleFactory.hpp:104</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_html_ad2e53e6428416a65ae4ba566207cc6bf"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html#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.html#l00078">QuantizedLstmParams.hpp:78</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_a1594bddc87d6477df300317658f566bb"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00335">Layer.hpp:335</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_aa7427025a851113a492de0b68b23d22a"><div class="ttname"><a href="namespacearmnn.html#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.html#l00043">Optimizer.hpp:43</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_aa6c1c42ea44777302e87ce0fad5ac510"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02188">Network.cpp:2188</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_afe0a4f719f9752a405e71878da7012ba"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l00038">Network.hpp:38</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_ac1134a94265293ea7347180260f787d2"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00306">Network.cpp:306</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_permute_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.html">armnn::PermuteDescriptor</a></div><div class="ttdoc">A PermuteDescriptor for the PermuteLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00149">Descriptors.hpp:149</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_dequantize_layer_html"><div class="ttname"><a href="classarmnn_1_1_dequantize_layer.html">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.html#l00013">DequantizeLayer.hpp:13</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.html">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.html#l01584">Descriptors.hpp:1584</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_reverse_v2_layer_html"><div class="ttname"><a href="classarmnn_1_1_reverse_v2_layer.html">armnn::ReverseV2Layer</a></div><div class="ttdoc">This layer represents a ReverseV2 operation.</div><div class="ttdef"><b>Definition:</b> <a href="_reverse_v2_layer_8hpp_source.html#l00014">ReverseV2Layer.hpp:14</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a7dfc9717e76257867ad0a9239f210df0"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00623">Network.cpp:623</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_space_to_batch_nd_layer_html"><div class="ttname"><a href="classarmnn_1_1_space_to_batch_nd_layer.html">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.html#l00014">SpaceToBatchNdLayer.hpp:14</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a4bfd8dee1a0315b651e977c672c0847c"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02355">Network.cpp:2355</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_factory_html"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.html">armnn::ITensorHandleFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_handle_factory_8hpp_source.html#l00046">ITensorHandleFactory.hpp:46</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_graph_html_a880db527e7dbf8d0de3fee52ba072482"><div class="ttname"><a href="classarmnn_1_1_graph.html#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.html#l00692">Graph.cpp:692</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimized_network_impl_html_a8d8179a4a0703602a5d7dbb6e92eaf69"><div class="ttname"><a href="classarmnn_1_1_optimized_network_impl.html#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.html#l00746">Network.cpp:746</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a5ee4a1cca55f69b31e625c786655ed1a"><div class="ttname"><a href="namespacearmnn.html#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.html#l01458">Network.cpp:1458</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_subgraph_view_html"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.html">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.html#l00031">SubgraphView.hpp:31</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_fully_connected_layer_html"><div class="ttname"><a href="classarmnn_1_1_fully_connected_layer.html">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.html#l00015">FullyConnectedLayer.hpp:15</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimization_views_html"><div class="ttname"><a href="classarmnn_1_1_optimization_views.html">armnn::OptimizationViews</a></div><div class="ttdef"><b>Definition:</b> <a href="_optimization_views_8hpp_source.html#l00017">OptimizationViews.hpp:17</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a0aeb4e528cf6ba4b7caca14a94fbcafe"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00508">Network.cpp:508</a></div></div> |
| <div class="ttc" id="a_filesystem_8hpp_html"><div class="ttname"><a href="_filesystem_8hpp.html">Filesystem.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_stand_in_layer_html"><div class="ttname"><a href="classarmnn_1_1_stand_in_layer.html">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.html#l00014">StandInLayer.hpp:14</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_aeee4e55e6ad4fe12b2168f9fd1e88141"><div class="ttname"><a href="namespacearmnn.html#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.html#l00780">Network.cpp:780</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_slice_layer_html"><div class="ttname"><a href="classarmnn_1_1_slice_layer.html">armnn::SliceLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_slice_layer_8hpp_source.html#l00013">SliceLayer.hpp:13</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_factory_html_ab17a7eb3afac8667ace153b0fe2f82fe"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.html#ab17a7eb3afac8667ace153b0fe2f82fe">armnn::ITensorHandleFactory::GetImportFlags</a></div><div class="ttdeci">virtual MemorySourceFlags GetImportFlags() const</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_handle_factory_8hpp_source.html#l00091">ITensorHandleFactory.hpp:91</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_aab976306ba3424cbc0c7ea33417d718d"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02215">Network.cpp:2215</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_a8933eb842c6152f61535b69bd37c867e"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#a8933eb842c6152f61535b69bd37c867e">armnn::OptimizerOptionsOpaque::GetDebugToFileEnabled</a></div><div class="ttdeci">bool GetDebugToFileEnabled() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00186">Network.cpp:186</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_space_to_batch_nd_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.html">armnn::SpaceToBatchNdDescriptor</a></div><div class="ttdoc">A SpaceToBatchNdDescriptor for the SpaceToBatchNdLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01043">Descriptors.hpp:1043</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a25563024ec66627ee83727244a53e944"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00433">Network.cpp:433</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a6e2df484ecc65bc82712590b96e04df4"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00534">Network.cpp:534</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38"><div class="ttname"><a href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Status::Success</a></div><div class="ttdeci">@ Success</div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html">armnn::Convolution3dDescriptor</a></div><div class="ttdoc">A Convolution3dDescriptor for the Convolution3dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00588">Descriptors.hpp:588</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_quantized_lstm_layer_html"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.html">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.html#l00045">QuantizedLstmLayer.hpp:45</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_elementwise_binary_layer_html"><div class="ttname"><a href="classarmnn_1_1_elementwise_binary_layer.html">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.html#l00014">ElementwiseBinaryLayer.hpp:14</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_pooling2d_layer_html"><div class="ttname"><a href="classarmnn_1_1_pooling2d_layer.html">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.html#l00013">Pooling2dLayer.hpp:13</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a0b426a3feffc76e66d73b5761806e899"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02624">Network.cpp:2624</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_runtime_exception_html"><div class="ttname"><a href="classarmnn_1_1_runtime_exception.html">armnn::RuntimeException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00120">Exceptions.hpp:120</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_switch_layer_html"><div class="ttname"><a href="classarmnn_1_1_switch_layer.html">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.html#l00013">SwitchLayer.hpp:13</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a6c5376053e1f875776d7bc36fd0b7d45"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02326">Network.cpp:2326</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_division_layer_html"><div class="ttname"><a href="classarmnn_1_1_division_layer.html">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.html#l00014">DivisionLayer.hpp:14</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a0a2fdd4f442952c97a8f24de6700473a"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00501">Network.cpp:501</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html"><div class="ttname"><a href="classarmnn_1_1_network_impl.html">armnn::NetworkImpl</a></div><div class="ttdoc">Private implementation of INetwork.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.html#l00032">Network.hpp:32</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_quantize_layer_html"><div class="ttname"><a href="classarmnn_1_1_quantize_layer.html">armnn::QuantizeLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_quantize_layer_8hpp_source.html#l00016">QuantizeLayer.hpp:16</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_optimized_network_html_a604654b453ec291a503d62a0beb849d3"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.html#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.html#l00730">Network.cpp:730</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a2b8ec686784330e8f20e4444f1ed7e98"><div class="ttname"><a href="namespacearmnn.html#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.html#l01020">Network.cpp:1020</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_html_a89f3c8b72e3a802240156915141de5ca"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html#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.html#l00108">QuantizedLstmParams.hpp:108</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_backend_settings_html_ad4ca579528452c669b45f3f35300fd4e"><div class="ttname"><a href="structarmnn_1_1_backend_settings.html#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.html#l00067">BackendSettings.hpp:67</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_graph_html_a2ceda8d369e861997d558fac74d79c33"><div class="ttname"><a href="classarmnn_1_1_graph.html#a2ceda8d369e861997d558fac74d79c33">armnn::Graph::InferTensorInfos</a></div><div class="ttdeci">void InferTensorInfos()</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.html#l00604">Graph.cpp:604</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div><div class="ttdeci">@ info</div></div> |
| <div class="ttc" id="astructarmnn_1_1_optimizer_options_html_a1b1892da2aaf7eaedaa38671d56b7f19"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.html#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.html#l00259">INetwork.hpp:259</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a0f19808bdada45222e72edf7671a275a"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02651">Network.cpp:2651</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_a5a864f9b972da52f3ca9028f1c8ee44a"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#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.html#l00146">Network.cpp:146</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_af9dd4b5273829b846ab83b3ae7f3defc"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02408">Network.cpp:2408</a></div></div> |
| <div class="ttc" id="a_backend_settings_8hpp_html"><div class="ttname"><a href="_backend_settings_8hpp.html">BackendSettings.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00200">Tensor.hpp:200</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a74894d085e78ff80f45fc09dd2381f08"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00604">Network.cpp:604</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_a9a97cb6d32661a57fc33bd29b8e41ff4"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00240">Layer.hpp:240</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_workload_factory_html_a74dc9ec1a223eab8b072368b2dacee87"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#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.html#l01614">WorkloadFactory.cpp:1614</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_fill_layer_html"><div class="ttname"><a href="classarmnn_1_1_fill_layer.html">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.html#l00013">FillLayer.hpp:13</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_aea1059833739d3dccebb3a03ec35a1e6"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02245">Network.cpp:2245</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_a5c25504e5efe52a17f5b0ca45753aaf0"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#a5c25504e5efe52a17f5b0ca45753aaf0">armnn::OptimizerOptionsOpaque::GetDebugEnabled</a></div><div class="ttdeci">bool GetDebugEnabled() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00181">Network.cpp:181</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_abc0660dc440c8a285b456c9ef6383c26"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00334">Layer.hpp:334</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_html_a477440c44fe870fb6f2486bf68214395"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html#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.html#l00073">QuantizedLstmParams.hpp:73</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_input_slot_html"><div class="ttname"><a href="classarmnn_1_1_input_slot.html">armnn::InputSlot</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00042">Layer.hpp:42</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_instance_normalization_layer_html"><div class="ttname"><a href="classarmnn_1_1_instance_normalization_layer.html">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.html#l00013">InstanceNormalizationLayer.hpp:13</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_optimized_network_html_a437cc59f5247f213adf34e84696f60da"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.html#a437cc59f5247f213adf34e84696f60da">armnn::IOptimizedNetwork::~IOptimizedNetwork</a></div><div class="ttdeci">~IOptimizedNetwork()</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a72f7f58c37d9d856fcb648b5fa68cf59"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02199">Network.cpp:2199</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a26e69cda5fe9642f9198c24ae5fdf9bc"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00569">Network.cpp:569</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_a0cd848f65ec31778d708852f0042fe37"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#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.html#l00057">LstmParams.hpp:57</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_aab976306ba3424cbc0c7ea33417d718d"><div class="ttname"><a href="classarmnn_1_1_i_network.html#aab976306ba3424cbc0c7ea33417d718d">armnn::INetwork::AddElementwiseBinaryLayer</a></div><div class="ttdeci">IConnectableLayer * AddElementwiseBinaryLayer(const ElementwiseBinaryDescriptor &elementwiseBinaryDescriptor, 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.html#l00314">Network.cpp:314</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_html_a8ad69d6d46b4b12f47fbe6032c9b7a18"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html#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.html#l00083">QuantizedLstmParams.hpp:83</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_detection_post_process_layer_html_a6dc8f4e1c0a2109b2a8412251c2cf7b0"><div class="ttname"><a href="classarmnn_1_1_detection_post_process_layer.html#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.html#l00020">DetectionPostProcessLayer.hpp:20</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_adf57837d00e8352d9b5cc5ab1fb5fee9af6486a22a9bb11959bfae60a3e5174b1"><div class="ttname"><a href="namespacearmnn.html#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_cast_layer_html"><div class="ttname"><a href="classarmnn_1_1_cast_layer.html">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.html#l00014">CastLayer.hpp:14</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_unidirectional_sequence_lstm_layer_html"><div class="ttname"><a href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html">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.html#l00016">UnidirectionalSequenceLstmLayer.hpp:16</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_afc94c35c0bbe852a60046bf2e756b2e0"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00326">Network.cpp:326</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_to_space_nd_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.html">armnn::BatchToSpaceNdDescriptor</a></div><div class="ttdoc">A BatchToSpaceNdDescriptor for the BatchToSpaceNdLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00875">Descriptors.hpp:875</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_adf57837d00e8352d9b5cc5ab1fb5fee9a5dd7c525cb1500a2181fd4cc079d7acb"><div class="ttname"><a href="namespacearmnn.html#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="astructarmnn_1_1_convolution2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html">armnn::Convolution2dDescriptor</a></div><div class="ttdoc">A Convolution2dDescriptor for the Convolution2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00534">Descriptors.hpp:534</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimize_for_type_html"><div class="ttname"><a href="classarmnn_1_1_optimize_for_type.html">armnn::OptimizeForType</a></div><div class="ttdef"><b>Definition:</b> <a href="_optimization_8hpp_source.html#l00067">Optimization.hpp:67</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a08f9f3cdeb77b6a0c615e8fa48f0ee94"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a08f9f3cdeb77b6a0c615e8fa48f0ee94">armnn::NetworkImpl::AddFusedLayer</a></div><div class="ttdeci">IConnectableLayer * AddFusedLayer(const FusedDescriptor &fusedDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02239">Network.cpp:2239</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a74894d085e78ff80f45fc09dd2381f08"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02701">Network.cpp:2701</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_comparison_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_comparison_descriptor.html">armnn::ComparisonDescriptor</a></div><div class="ttdoc">A ComparisonDescriptor for the ComparisonLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00089">Descriptors.hpp:89</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_fill_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_fill_descriptor.html">armnn::FillDescriptor</a></div><div class="ttdoc">A FillDescriptor for the FillLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00925">Descriptors.hpp:925</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_af13795cdf49e63d8bc3cb409592cdb9d"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00515">Network.cpp:515</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_optimizer_options_html_a11f463726addcc1d2845266997d79e9c"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.html#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.html#l00247">INetwork.hpp:247</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div><div class="ttdeci">@ QAsymmS8</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a10c50bc964cc8cc559eebcd7df5a8af3aa47abd1077ef632a38ada05b6edbf389"><div class="ttname"><a href="namespacearmnn.html#a10c50bc964cc8cc559eebcd7df5a8af3aa47abd1077ef632a38ada05b6edbf389">armnn::CapabilityClass::PaddingRequired</a></div><div class="ttdeci">@ PaddingRequired</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a40067b05f30a3ab65568c826df7a8ea7"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02707">Network.cpp:2707</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_af457790132251cde6545072d879c7684"><div class="ttname"><a href="namespacearmnn.html#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.html#l00297">BackendOptions.hpp:297</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_stand_in_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_stand_in_descriptor.html">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.html#l01281">Descriptors.hpp:1281</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_quantized_lstm_layer_html_ad3c37b52145c3cf1b4856c0df008a468"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.html#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.html#l00049">QuantizedLstmLayer.hpp:49</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_optimizer_options_html_a71194277c60153a5f86539f5d39f01db"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.html#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.html#l00256">INetwork.hpp:256</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a40067b05f30a3ab65568c826df7a8ea7"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00610">Network.cpp:610</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_strided_slice_layer_html"><div class="ttname"><a href="classarmnn_1_1_strided_slice_layer.html">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.html#l00013">StridedSliceLayer.hpp:13</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_af0f796fba1a2be9c56b4c9ee534577ee"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#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.html#l00058">LstmParams.hpp:58</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_lstm_layer_html_a8838b317568861294a9df608221f185e"><div class="ttname"><a href="classarmnn_1_1_lstm_layer.html#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.html#l00020">LstmLayer.hpp:20</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimization_views_html_a58dc3ea86870112f745b2a1f7dca55e9"><div class="ttname"><a href="classarmnn_1_1_optimization_views.html#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.html#l00011">OptimizationViews.cpp:11</a></div></div> |
| <div class="ttc" id="anamespacearmnn_1_1optimizations_html_ae1509d340bc981b11101c3316ee8afd6"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#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.html#l00044">OptimizeInverseConversions.hpp:44</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_backend_settings_html_ae4f9f2c5e3b5cf694315f66cde5b33f0"><div class="ttname"><a href="structarmnn_1_1_backend_settings.html#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.html#l00061">BackendSettings.hpp:61</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_backend_options_html"><div class="ttname"><a href="structarmnn_1_1_backend_options.html">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.html#l00022">BackendOptions.hpp:22</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a357aca04172ed22fa32e5a69122b0fec"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02629">Network.cpp:2629</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_ad8e15c530c929ab823d89ae9fd2d3f11"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00286">Layer.hpp:286</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_graph_html_ad1bbee7bf5f93b792675886f57d3ebe0"><div class="ttname"><a href="classarmnn_1_1_graph.html#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.html#l00329">Graph.cpp:329</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_basic_parameters_html_aafad117fb253359c1d472c9faefe49ef"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.html#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.html#l00057">LstmParameters.hpp:57</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html">armnn::LstmDescriptor</a></div><div class="ttdoc">An LstmDescriptor for the LstmLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01102">Descriptors.hpp:1102</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.html">armnn::StridedSliceDescriptor</a></div><div class="ttdoc">A StridedSliceDescriptor for the StridedSliceLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01303">Descriptors.hpp:1303</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ab46c7f5f4736d550ab0e5e05a0fff4a9"><div class="ttname"><a href="namespacearmnn.html#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.html#l01563">Network.cpp:1563</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a41fd7b56923d5625bac2cbfebed1a393"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00579">Network.cpp:579</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a2d936beb0fcf3c5d22ff332f0812b05e"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a2d936beb0fcf3c5d22ff332f0812b05e">armnn::INetwork::INetwork</a></div><div class="ttdeci">INetwork(NetworkOptions networkOptions={})</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00045">Network.cpp:45</a></div></div> |
| <div class="ttc" id="a_tensor_handle_8hpp_html"><div class="ttname"><a href="_tensor_handle_8hpp.html">TensorHandle.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00042">Types.hpp:42</a></div></div> |
| <div class="ttc" id="anamespacearmnn_1_1optimizations_html_ad1aaeee71293f34d9f65d2dd2792830d"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#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.html#l00077">TransposeAsReshape.hpp:77</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_transpose_convolution2d_layer_html_a6266a703017d7296f87cc4923df2d725"><div class="ttname"><a href="classarmnn_1_1_transpose_convolution2d_layer.html#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.html#l00019">TransposeConvolution2dLayer.hpp:19</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_graph_html_ab45dae688fc5d8983727abffa4389003"><div class="ttname"><a href="classarmnn_1_1_graph.html#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.html#l00171">Graph.hpp:171</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_logical_binary_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_logical_binary_descriptor.html">armnn::LogicalBinaryDescriptor</a></div><div class="ttdoc">A LogicalBinaryDescriptor for the LogicalBinaryLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01518">Descriptors.hpp:1518</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_profiler_manager_html_a93857080c2523bf3395e7aa7e6024d5c"><div class="ttname"><a href="classarmnn_1_1_profiler_manager.html#a93857080c2523bf3395e7aa7e6024d5c">armnn::ProfilerManager::GetInstance</a></div><div class="ttdeci">static ProfilerManager & GetInstance()</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8cpp_source.html#l00593">Profiling.cpp:593</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_activation_layer_html"><div class="ttname"><a href="classarmnn_1_1_activation_layer.html">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.html#l00012">ActivationLayer.hpp:12</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_ad6f282c92535e2be398a9b350d4e2ee9"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#ad6f282c92535e2be398a9b350d4e2ee9">armnn::OptimizerOptionsOpaque::GetAllowExpandedDims</a></div><div class="ttdeci">bool GetAllowExpandedDims() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00191">Network.cpp:191</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_softmax_layer_html"><div class="ttname"><a href="classarmnn_1_1_softmax_layer.html">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.html#l00013">SoftmaxLayer.hpp:13</a></div></div> |
| <div class="ttc" id="a_network_8hpp_html"><div class="ttname"><a href="_network_8hpp.html">Network.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a5f34318a121e010053655204df94720c"><div class="ttname"><a href="namespacearmnn.html#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.html#l01478">Network.cpp:1478</a></div></div> |
| <div class="ttc" id="a_deprecated_8hpp_html_ad762b11b48e5c1d1c1743f529485728a"><div class="ttname"><a href="_deprecated_8hpp.html#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.html#l00034">Deprecated.hpp:34</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_ac6771c8752811fcfa91b3f0dee748144"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00292">Network.cpp:292</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_ae913b4351b7027f37eb5657dd7867733"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00356">Network.cpp:356</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a4dc0adc6737b5944e7671bee71788407aad42f6697b035b7580e4fef93be20b4d"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407aad42f6697b035b7580e4fef93be20b4d">armnn::BoostLogSeverityMapping::debug</a></div><div class="ttdeci">@ debug</div></div> |
| <div class="ttc" id="anamespacearmnn_1_1optimizations_html_a8a81178ddcebb93ec0c35b6e6284273c"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#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.html#l00227">FuseBatchNorm.hpp:227</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_constant_layer_html_ad0c4b8ee0efd8f9336571cbeab8a53fe"><div class="ttname"><a href="classarmnn_1_1_constant_layer.html#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.html#l00046">ConstantLayer.hpp:46</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a6c5376053e1f875776d7bc36fd0b7d45"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00382">Network.cpp:382</a></div></div> |
| <div class="ttc" id="anamespacestd_html"><div class="ttname"><a href="namespacestd.html">std</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_id_8hpp_source.html#l00149">BackendId.hpp:149</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_a906953de2f5edc60b2c27bd720a70aa4"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#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.html#l00206">Network.cpp:206</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_gather_nd_layer_html"><div class="ttname"><a href="classarmnn_1_1_gather_nd_layer.html">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.html#l00014">GatherNdLayer.hpp:14</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_batch_mat_mul_layer_html"><div class="ttname"><a href="classarmnn_1_1_batch_mat_mul_layer.html">armnn::BatchMatMulLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_batch_mat_mul_layer_8hpp_source.html#l00013">BatchMatMulLayer.hpp:13</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.html#l00014">IgnoreUnused.hpp:14</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_shape_layer_html"><div class="ttname"><a href="classarmnn_1_1_shape_layer.html">armnn::ShapeLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_shape_layer_8hpp_source.html#l00013">ShapeLayer.hpp:13</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a0b426a3feffc76e66d73b5761806e899"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00540">Network.cpp:540</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_pre_compiled_layer_html"><div class="ttname"><a href="classarmnn_1_1_pre_compiled_layer.html">armnn::PreCompiledLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_pre_compiled_layer_8hpp_source.html#l00022">PreCompiledLayer.hpp:22</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_aff209afc1dc598da399e3e78617ce016a46e8b7bfd6fd3c0cb34a100478a39189"><div class="ttname"><a href="namespacearmnn.html#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_i_network_html_a55bd1bb29076dc45bb335e7322781463"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00681">Network.cpp:681</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_output_slot_html_a50b562d4a4edc64d7d8abcca056f0b8c"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#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.html#l00145">Layer.hpp:145</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_output_slot_html_a3f80ddd1f76ed4ad599e0d1a00659ee5"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#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.html#l00210">Layer.cpp:210</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimization_views_html_a9a1555f25af4a0ae2c0a1fc0ed9aded8"><div class="ttname"><a href="classarmnn_1_1_optimization_views.html#a9a1555f25af4a0ae2c0a1fc0ed9aded8">armnn::OptimizationViews::GetSubstitutions</a></div><div class="ttdeci">const Substitutions & GetSubstitutions() const</div><div class="ttdef"><b>Definition:</b> <a href="_optimization_views_8hpp_source.html#l00058">OptimizationViews.hpp:58</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a4353fa80ece13e3b1664881c27f5a67c"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00888">INetwork.hpp:888</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_subgraph_view_html_afc40490fb4f488bd2a211e81c06a6971"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.html#afc40490fb4f488bd2a211e81c06a6971">armnn::SubgraphView::end</a></div><div class="ttdeci">IConnectableLayerIterator end()</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8cpp_source.html#l00288">SubgraphView.cpp:288</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_optimizer_options_html"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.html">armnn::OptimizerOptions</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00151">INetwork.hpp:151</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_optimized_network_html_a58ee539cf95c1e99fe4f54ef6e8bbd05"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.html#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.html#l00700">Network.cpp:700</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimization_views_html_aa3792ea74cfe24d25460a6cf8e851f85"><div class="ttname"><a href="classarmnn_1_1_optimization_views.html#aa3792ea74cfe24d25460a6cf8e851f85">armnn::OptimizationViews::GetDeletedSubgraphs</a></div><div class="ttdeci">const Subgraphs & GetDeletedSubgraphs() const</div><div class="ttdef"><b>Definition:</b> <a href="_optimization_views_8hpp_source.html#l00061">OptimizationViews.hpp:61</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_a8c0f6d48705f40c5590dde09be262222"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#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.html#l00054">LstmParams.hpp:54</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_afdb1d37740e7a083b625d669588b6a0e"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00290">Layer.hpp:290</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_backend_id_html"><div class="ttname"><a href="classarmnn_1_1_backend_id.html">armnn::BackendId</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_id_8hpp_source.html#l00075">BackendId.hpp:75</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_aaff51346dadec2c1430abf007fed4cc9"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02419">Network.cpp:2419</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_convolution3d_layer_html"><div class="ttname"><a href="classarmnn_1_1_convolution3d_layer.html">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.html#l00016">Convolution3dLayer.hpp:16</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_aa51350bdd4976f3dd5a4e9d00a906b2c"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02314">Network.cpp:2314</a></div></div> |
| <div class="ttc" id="anamespacearmnn_1_1optimizations_html_ab40bb51feca46649eb9d00522bfe51f6"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#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.html#l00237">FuseBatchNorm.hpp:237</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_origins_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.html">armnn::OriginsDescriptor</a></div><div class="ttdoc">An OriginsDescriptor for the ConcatLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00201">Descriptors.hpp:201</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a9173495a61a0092b5f38b855f02c3585"><div class="ttname"><a href="namespacearmnn.html#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.html#l00282">Network.hpp:282</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1"><div class="ttname"><a href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1">armnn::Compute::CpuAcc</a></div><div class="ttdeci">@ CpuAcc</div><div class="ttdoc">CPU Execution: NEON: ArmCompute.</div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_ab03e6e1514f74427916c892f473fe04c"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#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.html#l00055">LstmParams.hpp:55</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_aee282f8e3379d3f5bed1032d20884248"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02308">Network.cpp:2308</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_a4527a67076f983e8db3496207d120fb5"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#a4527a67076f983e8db3496207d120fb5">armnn::OptimizerOptionsOpaque::GetProfilingEnabled</a></div><div class="ttdeci">bool GetProfilingEnabled() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00156">Network.cpp:156</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_a31da1ead6794dd64571afdd0b6efc771"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#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.html#l00041">LstmParams.hpp:41</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_input_slot_html_a9effd325a6d512a3f8ff4bd207d53255"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#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.html#l00056">Layer.hpp:56</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">armnn::LayerType::MemCopy</a></div><div class="ttdeci">@ MemCopy</div></div> |
| <div class="ttc" id="anamespacearmnn_1_1optimizations_html_aba7b0ca6192b8b58ecd517a82b4f378e"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#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.html#l00069">SquashEqualSiblings.hpp:69</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_constant_layer_html"><div class="ttname"><a href="classarmnn_1_1_constant_layer.html">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.html#l00015">ConstantLayer.hpp:15</a></div></div> |
| <div class="ttc" id="a_exceptions_8hpp_html"><div class="ttname"><a href="_exceptions_8hpp.html">Exceptions.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">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.html#l00006">01_00_quick_start.dox:6</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_elementwise_unary_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.html">armnn::ElementwiseUnaryDescriptor</a></div><div class="ttdoc">A ElementwiseUnaryDescriptor for the ElementwiseUnaryLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00129">Descriptors.hpp:129</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html">armnn::TransposeConvolution2dDescriptor</a></div><div class="ttdoc">A TransposeConvolution2dDescriptor for the TransposeConvolution2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01440">Descriptors.hpp:1440</a></div></div> |
| <div class="ttc" id="anamespacearmnn_1_1optimizations_html_a06cac66872538895dd6b59cdf39173d2"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#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.html#l00098">ConvertConstants.hpp:98</a></div></div> |
| <div class="ttc" id="a_arm_n_n_8hpp_html"><div class="ttname"><a href="_arm_n_n_8hpp.html">ArmNN.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_pre_compiled_layer_html_a1e06bf299b99f9eecb2e8ac5ce7457e2"><div class="ttname"><a href="classarmnn_1_1_pre_compiled_layer.html#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.html#l00047">PreCompiledLayer.cpp:47</a></div></div> |
| <div class="ttc" id="a_layer_8hpp_html"><div class="ttname"><a href="_layer_8hpp.html">Layer.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_a316670cb6b65902e017c32ca4bcb4b98"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00291">Layer.hpp:291</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_ae913b4351b7027f37eb5657dd7867733"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02302">Network.cpp:2302</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_elementwise_unary_layer_html"><div class="ttname"><a href="classarmnn_1_1_elementwise_unary_layer.html">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.html#l00014">ElementwiseUnaryLayer.hpp:14</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_detection_post_process_layer_html"><div class="ttname"><a href="classarmnn_1_1_detection_post_process_layer.html">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.html#l00016">DetectionPostProcessLayer.hpp:16</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_a78aff12fa10e9a2df9989a469ba0b7bd"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#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.html#l00121">Network.cpp:121</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_optimized_network_html_a32eecbed1d4cd2602204a2ab3f5f249e"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.html#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.html#l00686">Network.cpp:686</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_aea1059833739d3dccebb3a03ec35a1e6"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00265">Network.cpp:265</a></div></div> |
| <div class="ttc" id="anamespacearmnn_1_1optimizations_html_a64ddffb38fbe5b78ec92b753cd4bd0ba"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#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.html#l00067">SquashEqualSiblings.hpp:67</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_a8a2218764dede9c24b0e52833469b5fe"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#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.html#l00131">Network.cpp:131</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_logical_binary_layer_html"><div class="ttname"><a href="classarmnn_1_1_logical_binary_layer.html">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.html#l00014">LogicalBinaryLayer.hpp:14</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_optimizer_options_html_afc07add3304c3d79293acb881c2168df"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.html#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.html#l00243">INetwork.hpp:243</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_factory_html_a32f4aa6a7089d877af08928139c2c277"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.html#a32f4aa6a7089d877af08928139c2c277">armnn::ITensorHandleFactory::FactoryId</a></div><div class="ttdeci">std::string FactoryId</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_handle_factory_8hpp_source.html#l00049">ITensorHandleFactory.hpp:49</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_abb59f6ba9988dae88e0f48e68d87fc32"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00416">Network.cpp:416</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_html_a339c19855613274cf0ea13921af9e5a3"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html#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.html#l00063">QuantizedLstmParams.hpp:63</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a43de8213707de0e76d80a32cd4b9b482"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00278">Network.cpp:278</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd">armnn::BoostLogSeverityMapping::warning</a></div><div class="ttdeci">@ warning</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_const_tensor_html"><div class="ttname"><a href="classarmnn_1_1_const_tensor.html">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.html#l00329">Tensor.hpp:329</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html">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.html#l00080">INetwork.hpp:80</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_permute_layer_html"><div class="ttname"><a href="classarmnn_1_1_permute_layer.html">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.html#l00015">PermuteLayer.hpp:15</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimizer_html_a1f48ba622b76ea04d15c9b62f642bf08"><div class="ttname"><a href="classarmnn_1_1_optimizer.html#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.html#l00016">Optimizer.cpp:16</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_device_spec_html"><div class="ttname"><a href="classarmnn_1_1_i_device_spec.html">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.html#l00299">Types.hpp:299</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_abb59f6ba9988dae88e0f48e68d87fc32"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02365">Network.cpp:2365</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a></div><div class="ttdeci">@ Input</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_backend_internal_html_ac5d107c5672f446603b6e6b92bce6244"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.html#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.html#l00143">IBackendInternal.cpp:143</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a5b6893cda5b69359a4244c06054da18f"><div class="ttname"><a href="namespacearmnn.html#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.html#l00018">BackendOptions.hpp:18</a></div></div> |
| <div class="ttc" id="anamespacearmnn_1_1optimizations_html_a227e9ab5e488aa90ba462790ba0e5aec"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#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.html#l00281">FoldPadIntoLayer2d.hpp:281</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a095a9b700dc857edc23c5d3bf088919f"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00320">Network.cpp:320</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#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.html#l01481">Descriptors.hpp:1481</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.html">armnn::DetectionPostProcessDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00713">Descriptors.hpp:713</a></div></div> |
| <div class="ttc" id="a_timer_8hpp_html"><div class="ttname"><a href="_timer_8hpp.html">Timer.hpp</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pre_compiled_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_pre_compiled_descriptor.html">armnn::PreCompiledDescriptor</a></div><div class="ttdoc">A PreCompiledDescriptor for the PreCompiledLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01367">Descriptors.hpp:1367</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_ab71c4df72f6587aea671acaacd6a0d9a"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02262">Network.cpp:2262</a></div></div> |
| <div class="ttc" id="anamespacearmnn_utils_1_1_filesystem_html_a0477efb2c6f5b41fbfe937fef6db312d"><div class="ttname"><a href="namespacearmnn_utils_1_1_filesystem.html#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.html#l00047">Filesystem.cpp:47</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_abd61d3e7ab67551c75bc219bbc4baeb5"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02413">Network.cpp:2413</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_scoped_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_scoped_tensor_handle.html">armnn::ScopedTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.html#l00115">TensorHandle.hpp:115</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a786be4af14ba595c9946f935ba99f170"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00637">Network.cpp:637</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_abd61d3e7ab67551c75bc219bbc4baeb5"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00450">Network.cpp:450</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_backend_settings_html_aa5df3120ee0fbb3321df3133ec9e83ae"><div class="ttname"><a href="structarmnn_1_1_backend_settings.html#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.html#l00046">BackendSettings.hpp:46</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a1ba03515c88a4c042bffa446d306caf0"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02173">Network.cpp:2173</a></div></div> |
| <div class="ttc" id="anamespacearmnn_1_1optimizations_html_a29f8d97b2d74f99c88298881cd1d825b"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#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.html#l00070">SquashEqualSiblings.hpp:70</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_html_aba6d12c9d5671017b6711b80316069ff"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html#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.html#l00098">QuantizedLstmParams.hpp:98</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a435ea88480b8645026dd45fd692663a1"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00492">Network.cpp:492</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a43de8213707de0e76d80a32cd4b9b482"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02267">Network.cpp:2267</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_resize_layer_html"><div class="ttname"><a href="classarmnn_1_1_resize_layer.html">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.html#l00013">ResizeLayer.hpp:13</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_maximum_layer_html"><div class="ttname"><a href="classarmnn_1_1_maximum_layer.html">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.html#l00014">MaximumLayer.hpp:14</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a738d3243c1dc564304d78908c6112e4f"><div class="ttname"><a href="namespacearmnn.html#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.html#l01723">Network.cpp:1723</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.html">armnn::Pooling2dDescriptor</a></div><div class="ttdoc">A Pooling2dDescriptor for the Pooling2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00371">Descriptors.hpp:371</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_aa42e128b41f4e966fc901f9bf42c5a1c"><div class="ttname"><a href="namespacearmnn.html#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.html#l02132">Network.cpp:2132</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a5c58d2b496d24e637f613af857aa3c3d"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02203">Network.cpp:2203</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_broadcast_to_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_broadcast_to_descriptor.html">armnn::BroadcastToDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01659">Descriptors.hpp:1659</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">armnn::DepthwiseConvolution2dDescriptor</a></div><div class="ttdoc">A DepthwiseConvolution2dDescriptor for the DepthwiseConvolution2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00659">Descriptors.hpp:659</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_adf57837d00e8352d9b5cc5ab1fb5fee9"><div class="ttname"><a href="namespacearmnn.html#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.html#l00235">Types.hpp:235</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_optimizer_options_html_a9ef8ddbeee4b869e4c68eb2ed278b8d9"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.html#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.html#l00265">INetwork.hpp:265</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a1da203a7e3caa6ae4f0630a4758aac55"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00558">Network.cpp:558</a></div></div> |
| <div class="ttc" id="anamespacearmnn_1_1optimizations_html_a2f9d1a13be2ac1c4213729a0ef181fc0"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#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.html#l00045">OptimizeInversePermutes.hpp:45</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_q_lstm_layer_html_aada2b9060461ecf785d483eee0dc071a"><div class="ttname"><a href="classarmnn_1_1_q_lstm_layer.html#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.html#l00083">QLstmLayer.hpp:83</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_reduce_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.html">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.html#l01538">Descriptors.hpp:1538</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a72b9d30e9d555bb5c35460b62faedf0d"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02446">Network.cpp:2446</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a8de6b047fcaff95df48dca683e1f3aa4"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02333">Network.cpp:2333</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a35e19d74e14ce4cec0261b799a39c921"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a35e19d74e14ce4cec0261b799a39c921">armnn::INetwork::AddBroadcastToLayer</a></div><div class="ttdeci">IConnectableLayer * AddBroadcastToLayer(const BroadcastToDescriptor &descriptor, const char *name=nullptr)</div><div class="ttdoc">Add a BroadcastTo layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00660">Network.cpp:660</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a41ce159095e95f7cd4174ce5d4662697"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00676">Network.cpp:676</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_optimizer_options_opaque_impl_html"><div class="ttname"><a href="structarmnn_1_1_optimizer_options_opaque_impl.html">armnn::OptimizerOptionsOpaqueImpl</a></div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.html#l00307">Network.hpp:307</a></div></div> |
| <div class="ttc" id="anamespacearmnn_1_1optimizations_html_a4fc55afb4885278ad1510b2c4307af76"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#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.html#l00094">AddBroadcastReshapeLayer.hpp:94</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_input_params_html"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html">armnn::LstmInputParams</a></div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00013">LstmParams.hpp:13</a></div></div> |
| <div class="ttc" id="anamespacearmnn_1_1optimizations_html_a56e54a818166a2f4b2c1a7f76a3629ff"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#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.html#l00232">FuseBatchNorm.hpp:232</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_ad0b8c32bb5381f4cc999093ba3b98b43"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#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.html#l00059">LstmParams.hpp:59</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.html#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.html#l00491">Types.hpp:491</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_output_slot_html_a048e8c1536cf6b8871b093a73a4a3a85"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#a048e8c1536cf6b8871b093a73a4a3a85">armnn::OutputSlot::GetConnection</a></div><div class="ttdeci">const InputSlot * GetConnection(unsigned int index) const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00075">Layer.cpp:75</a></div></div> |
| <div class="ttc" id="anamespacearmnn_1_1optimizations_html_a8341ca3512ebafb19d60eba44d40d9e4"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#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.html#l00061">OptimizeConsecutiveReshapes.hpp:61</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimized_network_impl_html_a604654b453ec291a503d62a0beb849d3"><div class="ttname"><a href="classarmnn_1_1_optimized_network_impl.html#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.html#l00751">Network.cpp:751</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_mean_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.html">armnn::MeanDescriptor</a></div><div class="ttdoc">A MeanDescriptor for the MeanLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01172">Descriptors.hpp:1172</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_html"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html">armnn::QuantizedLstmInputParams</a></div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00013">QuantizedLstmParams.hpp:13</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_af362583b7b4c471c434cb0fdb86c2ae2"><div class="ttname"><a href="namespacearmnn.html#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.html#l00343">INetwork.hpp:343</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_subgraph_view_selector_html_ab9e8c2ce720efe33c8a20b8f74bb9d5f"><div class="ttname"><a href="classarmnn_1_1_subgraph_view_selector.html#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.html#l00024">SubgraphViewSelector.hpp:24</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_graph_html"><div class="ttname"><a href="classarmnn_1_1_graph.html">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.html#l00030">Graph.hpp:30</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_aaf5e9645806f49d0fcd7ac07ba187f4e"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02640">Network.cpp:2640</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_aee3a15d2fa419f50a8ac45e6d3c11e16"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l03050">Network.cpp:3050</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a8bf1222ae8931bf663fa076b3e3b6f0e"><div class="ttname"><a href="namespacearmnn.html#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.html#l00795">Network.cpp:795</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optional_reference_switch_html_a77c7d528ac063d870b8c8426ec81c1c3"><div class="ttname"><a href="classarmnn_1_1_optional_reference_switch.html#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.html#l00146">Optional.hpp:146</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_a2559eecf0b1317953b2ec24e83d0f0b4"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#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.html#l00126">Network.cpp:126</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_tile_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_tile_descriptor.html">armnn::TileDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01640">Descriptors.hpp:1640</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a9a9bcc00ae3d96343c93b437d6f77088"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00350">Network.cpp:350</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_aff3fde909d22ed157046682e70129259"><div class="ttname"><a href="classarmnn_1_1_i_network.html#aff3fde909d22ed157046682e70129259">armnn::INetwork::PrintGraph</a></div><div class="ttdeci">Status PrintGraph()</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00237">Network.cpp:237</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_pad_layer_html"><div class="ttname"><a href="classarmnn_1_1_pad_layer.html">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.html#l00014">PadLayer.hpp:14</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a6e2df484ecc65bc82712590b96e04df4"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02619">Network.cpp:2619</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_softmax_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.html">armnn::SoftmaxDescriptor</a></div><div class="ttdoc">A SoftmaxDescriptor for the SoftmaxLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00177">Descriptors.hpp:177</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_backend_settings_html_ae6d0506ac92f9ba9529d019847144aa3"><div class="ttname"><a href="structarmnn_1_1_backend_settings.html#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.html#l00020">BackendSettings.hpp:20</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_basic_parameters_html_aafad117fb253359c1d472c9faefe49ef"><div class="ttname"><a href="structarmnn_1_1_q_lstm_basic_parameters.html#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.html#l00017">QLstmLayer.hpp:17</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_ad97411f1fcb2c30c212483d8c673506f"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00438">Network.cpp:438</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_aa6c1c42ea44777302e87ce0fad5ac510"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00242">Network.cpp:242</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_space_to_depth_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.html">armnn::SpaceToDepthDescriptor</a></div><div class="ttdoc">A SpaceToDepthDescriptor for the SpaceToDepthLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01075">Descriptors.hpp:1075</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optional_base_html_a86b749ce2c4bc627fa8a1fcfaf0e314f"><div class="ttname"><a href="classarmnn_1_1_optional_base.html#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.html#l00053">Optional.hpp:53</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_a57590d7777211673d2052f702f0b07a1"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02350">Network.cpp:2350</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_af760179196d57e2ddbc64b989fb72586"><div class="ttname"><a href="classarmnn_1_1_i_network.html#af760179196d57e2ddbc64b989fb72586">armnn::INetwork::~INetwork</a></div><div class="ttdeci">~INetwork()</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_network_impl_html_ac1134a94265293ea7347180260f787d2"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#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.html#l02286">Network.cpp:2286</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_merge_layer_html"><div class="ttname"><a href="classarmnn_1_1_merge_layer.html">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.html#l00013">MergeLayer.hpp:13</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a></div><div class="ttdeci">@ Output</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a></div><div class="ttdeci">@ Constant</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_adc8c1c505bca8233fe238b3b7fb80200"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00247">Network.cpp:247</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_optimized_network_html_a374d52340ec8dc02a819acc20fb5aa92"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.html#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.html#l00946">INetwork.hpp:946</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_af52a698836d638d0a71263c6c1496a05"><div class="ttname"><a href="namespacearmnn.html#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.html#l01076">Network.cpp:1076</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_af776e284b9e2c4a3563abb8cf5e8ac5e"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00564">Network.cpp:564</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_aa51350bdd4976f3dd5a4e9d00a906b2c"><div class="ttname"><a href="classarmnn_1_1_i_network.html#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.html#l00376">Network.cpp:376</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a406399d2a16ead98e4e93cdd57adead4"><div class="ttname"><a href="namespacearmnn.html#a406399d2a16ead98e4e93cdd57adead4">armnn::HasMatchingCapability</a></div><div class="ttdeci">bool HasMatchingCapability(const BackendOptions::BackendOption &capability, const BackendCapabilities &capabilities)</div><div class="ttdoc">Convenience function to check if a given capability matches a capability in a BackendCapabilities str...</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.html#l00085">BackendHelper.cpp:85</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html"><div class="ttname"><a href="classarmnn_1_1_i_network.html">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.html#l00347">INetwork.hpp:347</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_a9258f2763407b5dec4c88f7f6109cbd7"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#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.html#l00111">Network.cpp:111</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html">armnn::OptimizerOptionsOpaque</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00272">INetwork.hpp:272</a></div></div> |
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