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<a href="_backend_helper_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017,2022 Arm Ltd and Contributors. All rights reserved.</span></div>
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<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="_backend_helper_8hpp.xhtml">armnn/BackendHelper.hpp</a>></span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include <<a class="code" href="_backend_id_8hpp.xhtml">armnn/BackendId.hpp</a>></span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_backend_options_8hpp.xhtml">armnn/BackendOptions.hpp</a>></span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_backend_registry_8hpp.xhtml">armnn/BackendRegistry.hpp</a>></span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_lstm_params_8hpp.xhtml">armnn/LstmParams.hpp</a>></span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_quantized_lstm_params_8hpp.xhtml">armnn/QuantizedLstmParams.hpp</a>></span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <<a class="code" href="_tensor_8hpp.xhtml">armnn/Tensor.hpp</a>></span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <<a class="code" href="_types_8hpp.xhtml">armnn/Types.hpp</a>></span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <<a class="code" href="_i_layer_support_8hpp.xhtml">armnn/backends/ILayerSupport.hpp</a>></span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <<a class="code" href="_i_backend_internal_8hpp.xhtml">armnn/backends/IBackendInternal.hpp</a>></span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  </div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <stddef.h></span></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  </div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</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="comment">// Return LayerSupportHandle instead of the previous pointer to ILayerSupport.</span></div>
<div class="line"><a name="l00023"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a6d9d90e2ace1cd49789835b0073196a3"> 23</a></span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml">LayerSupportHandle</a> <a class="code" href="namespacearmnn.xhtml#a6d9d90e2ace1cd49789835b0073196a3">GetILayerSupportByBackendId</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a>& backend)</div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span> {</div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <a class="code" href="classarmnn_1_1_backend_registry.xhtml">BackendRegistry</a>& backendRegistry = <a class="code" href="namespacearmnn.xhtml#ac2807505b850738bc8a1991ce669dd47">armnn::BackendRegistryInstance</a>();</div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  </div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keywordflow">if</span> (!backendRegistry.<a class="code" href="classarmnn_1_1_backend_registry.xhtml#a34fad4b6d0db8ebfad2f9178f0a90816">IsBackendRegistered</a>(backend))</div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  {</div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml">LayerSupportHandle</a>(<span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</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="keyword">auto</span> factoryFunc = backendRegistry.<a class="code" href="classarmnn_1_1_backend_registry.xhtml#afc0c63ca8db8957b58826f6d7bd231b2">GetFactory</a>(backend);</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keyword">auto</span> backendObject = factoryFunc();</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml">LayerSupportHandle</a>(backendObject->GetLayerSupport(), backend);</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>  </div>
<div class="line"><a name="l00037"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a71c3bdadfe1c69aba2cbf054bff47744"> 37</a></span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<const BackendOptions::BackendOption></a> <a class="code" href="namespacearmnn.xhtml#a71c3bdadfe1c69aba2cbf054bff47744">GetCapability</a>(<span class="keyword">const</span> std::string& backendCapabilityName,</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_backend_options.xhtml">BackendCapabilities</a>& capabilities)</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> {</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i=0; i < capabilities.<a class="code" href="structarmnn_1_1_backend_options.xhtml#aac6574986901c29b5e0b81083c13502f">GetOptionCount</a>(); i++)</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">const</span> <span class="keyword">auto</span>& capability = capabilities.<a class="code" href="structarmnn_1_1_backend_options.xhtml#a6eb7000b48e63e0e05b94dbc36dd6c30">GetOption</a>(i);</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keywordflow">if</span> (backendCapabilityName == capability.GetName())</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  {</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">return</span> capability;</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>  }</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>();</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span> }</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  </div>
<div class="line"><a name="l00051"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a8d70f94d3f0ffb06067a66c49b2f8689"> 51</a></span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<const BackendOptions::BackendOption></a> <a class="code" href="namespacearmnn.xhtml#a71c3bdadfe1c69aba2cbf054bff47744">GetCapability</a>(<span class="keyword">const</span> std::string& backendCapabilityName,</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a>& backend)</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span> {</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keyword">auto</span> <span class="keyword">const</span>& backendRegistry = <a class="code" href="namespacearmnn.xhtml#ac2807505b850738bc8a1991ce669dd47">armnn::BackendRegistryInstance</a>();</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keywordflow">if</span> (backendRegistry.IsBackendRegistered(backend))</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>  <span class="keyword">auto</span> factoryFunc = backendRegistry.GetFactory(backend);</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keyword">auto</span> backendObject = factoryFunc();</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keyword">auto</span> capabilities = backendObject->GetCapabilities();</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a71c3bdadfe1c69aba2cbf054bff47744">GetCapability</a>(backendCapabilityName, capabilities);</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  }</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>();</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span> }</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  </div>
<div class="line"><a name="l00065"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#abd839f0f103c1ae19a4b38d59b869108"> 65</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#abd839f0f103c1ae19a4b38d59b869108">HasCapability</a>(<span class="keyword">const</span> std::string& name, <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_backend_options.xhtml">BackendCapabilities</a>& capabilities)</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span> {</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a71c3bdadfe1c69aba2cbf054bff47744">GetCapability</a>(name, capabilities).has_value();</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="namespacearmnn.xhtml#a8439e8b224a1fb7abdf449c8e6775469"> 70</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#abd839f0f103c1ae19a4b38d59b869108">HasCapability</a>(<span class="keyword">const</span> std::string& name, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a>& backend)</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span> {</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a71c3bdadfe1c69aba2cbf054bff47744">GetCapability</a>(name, backend).has_value();</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span> }</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  </div>
<div class="line"><a name="l00075"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ae702febbc6139e20b2b8c4f03ff89b01"> 75</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#abd839f0f103c1ae19a4b38d59b869108">HasCapability</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml">BackendOptions::BackendOption</a>& capability, <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_backend_options.xhtml">BackendCapabilities</a>& capabilities)</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span> {</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i=0; i < capabilities.<a class="code" href="structarmnn_1_1_backend_options.xhtml#aac6574986901c29b5e0b81083c13502f">GetOptionCount</a>(); i++)</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>  <span class="keyword">const</span> <span class="keyword">auto</span>& backendCapability = capabilities.<a class="code" href="structarmnn_1_1_backend_options.xhtml#a6eb7000b48e63e0e05b94dbc36dd6c30">GetOption</a>(i);</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordflow">if</span> (capability.<a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml#a9a98946a64f3893b085f650932c9dfee">GetName</a>() == backendCapability.GetName())</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  {</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">if</span> (capability.<a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml#a9dd404db54065d13616225910db3dec4">GetValue</a>().<a class="code" href="classarmnn_1_1_backend_options_1_1_var.xhtml#aec3bdef27fa2d4de29db82d2334ad2d8">IsBool</a>() && backendCapability.GetValue().IsBool())</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>  <span class="keywordflow">return</span> capability.<a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml#a9dd404db54065d13616225910db3dec4">GetValue</a>().<a class="code" href="classarmnn_1_1_backend_options_1_1_var.xhtml#ac488187ef67bf8905cbe686daab95183">AsBool</a>() == backendCapability.GetValue().AsBool();</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  }</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (capability.<a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml#a9dd404db54065d13616225910db3dec4">GetValue</a>().<a class="code" href="classarmnn_1_1_backend_options_1_1_var.xhtml#aec0a6f81c7581924db00ea960358d91b">IsFloat</a>() && backendCapability.GetValue().IsFloat())</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  {</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">return</span> capability.<a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml#a9dd404db54065d13616225910db3dec4">GetValue</a>().<a class="code" href="classarmnn_1_1_backend_options_1_1_var.xhtml#a8f86682f960b846e1c3a59eb7fc6ae95">AsFloat</a>() == backendCapability.GetValue().AsFloat();</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  }</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (capability.<a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml#a9dd404db54065d13616225910db3dec4">GetValue</a>().<a class="code" href="classarmnn_1_1_backend_options_1_1_var.xhtml#aba7f9d096eda6d34bc0c668ee44dd665">IsInt</a>() && backendCapability.GetValue().IsInt())</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  {</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keywordflow">return</span> capability.<a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml#a9dd404db54065d13616225910db3dec4">GetValue</a>().<a class="code" href="classarmnn_1_1_backend_options_1_1_var.xhtml#ad0c302a166dc669426251446bca2748a">AsInt</a>() == backendCapability.GetValue().AsInt();</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  }</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (capability.<a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml#a9dd404db54065d13616225910db3dec4">GetValue</a>().<a class="code" href="classarmnn_1_1_backend_options_1_1_var.xhtml#a7c412f98489e7d252ef40ed053a3908c">IsString</a>() && backendCapability.GetValue().IsString())</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  {</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordflow">return</span> capability.<a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml#a9dd404db54065d13616225910db3dec4">GetValue</a>().<a class="code" href="classarmnn_1_1_backend_options_1_1_var.xhtml#a5e3562cda960da001597e7dd5679b140">AsString</a>() == backendCapability.GetValue().AsString();</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>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (capability.<a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml#a9dd404db54065d13616225910db3dec4">GetValue</a>().<a class="code" href="classarmnn_1_1_backend_options_1_1_var.xhtml#a3a298f343faf362973e3a893555c9c61">IsUnsignedInt</a>() && backendCapability.GetValue().IsUnsignedInt())</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  {</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keywordflow">return</span> capability.<a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml#a9dd404db54065d13616225910db3dec4">GetValue</a>().<a class="code" href="classarmnn_1_1_backend_options_1_1_var.xhtml#a8e1f21bd37f13d6a990f35127974c5d0">AsUnsignedInt</a>() == backendCapability.GetValue().AsUnsignedInt();</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  }</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  }</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  }</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span> }</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  </div>
<div class="line"><a name="l00107"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a78fe085e22e9822075ad791aa5cc34d5"> 107</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#abd839f0f103c1ae19a4b38d59b869108">HasCapability</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml">BackendOptions::BackendOption</a>& backendOption, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a>& backend)</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span> {</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keyword">auto</span> <span class="keyword">const</span>& backendRegistry = <a class="code" href="namespacearmnn.xhtml#ac2807505b850738bc8a1991ce669dd47">armnn::BackendRegistryInstance</a>();</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">if</span> (backendRegistry.IsBackendRegistered(backend))</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  {</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keyword">auto</span> factoryFunc = backendRegistry.GetFactory(backend);</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keyword">auto</span> backendObject = factoryFunc();</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keyword">auto</span> capabilities = backendObject->GetCapabilities();</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#abd839f0f103c1ae19a4b38d59b869108">HasCapability</a>(backendOption, capabilities);</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  }</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span> }</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  </div>
<div class="line"><a name="l00120"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ae266ee8bf362cbf8a88ab6e6b389791a"> 120</a></span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespacearmnn.xhtml#ae266ee8bf362cbf8a88ab6e6b389791a">GetNumberOfCacheFiles</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a>& backend)</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span> {</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keyword">auto</span> <span class="keyword">const</span>& backendRegistry = <a class="code" href="namespacearmnn.xhtml#ac2807505b850738bc8a1991ce669dd47">armnn::BackendRegistryInstance</a>();</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordflow">if</span> (backendRegistry.IsBackendRegistered(backend))</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>  <span class="keyword">auto</span> factoryFunc = backendRegistry.GetFactory(backend);</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keyword">auto</span> backendObject = factoryFunc();</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keywordflow">return</span> backendObject->GetNumberOfCacheFiles();</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  }</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordflow">return</span> 0;</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span> }</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  </div>
<div class="line"><a name="l00132"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a1ba0862636ccfea01078005c4e6ba6de"> 132</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a1ba0862636ccfea01078005c4e6ba6de">LayerSupportHandle::IsBackendRegistered</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keywordflow">if</span> (m_LayerSupport)</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  {</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</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>  </div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">return</span> <span class="keyword">false</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"> 141</span>  </div>
<div class="line"><a name="l00142"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68"> 142</a></span> <span class="keyword">using</span> <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> = std::vector<TensorInfo>;</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  </div>
<div class="line"><a name="l00144"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a347ce0ce0638a48452b7920fde7ddfa8"> 144</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a347ce0ce0638a48452b7920fde7ddfa8">LayerSupportHandle::IsActivationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span> {</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  </div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">LayerType::Activation</a>,</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  infos,</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  descriptor,</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span> }</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  </div>
<div class="line"><a name="l00159"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a47c73a3f41062d0f686229d2054abfb1"> 159</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a47c73a3f41062d0f686229d2054abfb1">LayerSupportHandle::IsAdditionSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span> {</div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input0, input1, output};</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  </div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">LayerType::Addition</a>,</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  infos,</div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a>(),</div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span> }</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  </div>
<div class="line"><a name="l00174"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a4b24ad5272e46963d44bd754fb44773e"> 174</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a4b24ad5272e46963d44bd754fb44773e">LayerSupportHandle::IsArgMinMaxSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml">ArgMinMaxDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span> {</div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  </div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c">LayerType::ArgMinMax</a>,</div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  infos,</div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  descriptor,</div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span> }</div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  </div>
<div class="line"><a name="l00189"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#ace8cf49bfbc94c86e5798f012227e97a"> 189</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#ace8cf49bfbc94c86e5798f012227e97a">LayerSupportHandle::IsBatchMatMulSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">BatchMatMulDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</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>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input0, input1, output};</div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  </div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">LayerType::BatchMatMul</a>,</div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  infos,</div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  descriptor,</div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span> }</div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  </div>
<div class="line"><a name="l00205"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#aea9e3ad6c4591f4bb5288e4ff83cd35f"> 205</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#aea9e3ad6c4591f4bb5288e4ff83cd35f">LayerSupportHandle::IsBatchNormalizationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& mean,</div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& var,</div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& beta,</div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& gamma,</div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml">BatchNormalizationDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span> {</div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output, mean, var, beta, gamma};</div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  </div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">LayerType::BatchNormalization</a>,</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  infos,</div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  descriptor,</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span> }</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  </div>
<div class="line"><a name="l00224"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#ae17257bab002b8730d4db9d46205984f"> 224</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#ae17257bab002b8730d4db9d46205984f">LayerSupportHandle::IsBatchToSpaceNdSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml">BatchToSpaceNdDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span> {</div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  </div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">LayerType::BatchToSpaceNd</a>,</div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  infos,</div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  descriptor,</div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span> }</div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  </div>
<div class="line"><a name="l00239"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a96f2cf5602db8514f2cea3867e7ac926"> 239</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a96f2cf5602db8514f2cea3867e7ac926">LayerSupportHandle::IsCastSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span> {</div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  </div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c">LayerType::Cast</a>,</div>
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  infos,</div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a>(),</div>
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  reasonIfUnsupported);</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_layer_support_handle.xhtml#ac9fc5eef6788cfc03488c843a57b0f19"> 253</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#ac9fc5eef6788cfc03488c843a57b0f19">LayerSupportHandle::IsChannelShuffleSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input,</div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &output,</div>
<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml">ChannelShuffleDescriptor</a> &descriptor,</div>
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string &></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span> {</div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</div>
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  </div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd">LayerType::ChannelShuffle</a>,</div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  infos,</div>
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  descriptor,</div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span> }</div>
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  </div>
<div class="line"><a name="l00268"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a009726b2903177e23e49731c0b26dacb"> 268</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a009726b2903177e23e49731c0b26dacb">LayerSupportHandle::IsComparisonSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml">ComparisonDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span> {</div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input0, input1, output};</div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  </div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a">LayerType::Comparison</a>,</div>
<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  infos,</div>
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  descriptor,</div>
<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span> }</div>
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  </div>
<div class="line"><a name="l00284"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a0fc398e1ec8d7f0cb7ab5a90340d4f58"> 284</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a0fc398e1ec8d7f0cb7ab5a90340d4f58">LayerSupportHandle::IsConcatSupported</a>(<span class="keyword">const</span> std::vector<const TensorInfo*> inputs,</div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span> {</div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos;</div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>* inputInfo : inputs)</div>
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  {</div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  infos.push_back(*inputInfo);</div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  }</div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  infos.push_back(output);</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> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">LayerType::Concat</a>,</div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  infos,</div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  descriptor,</div>
<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span> }</div>
<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  </div>
<div class="line"><a name="l00304"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a67abbe7e0891e7e200710db1045b8749"> 304</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a67abbe7e0891e7e200710db1045b8749">LayerSupportHandle::IsConstantSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span> {</div>
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{output};</div>
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  </div>
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">LayerType::Constant</a>,</div>
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  infos,</div>
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a>(),</div>
<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span> }</div>
<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  </div>
<div class="line"><a name="l00317"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#aa2fcc1b20eb337a8f3e4da866d13fdf6"> 317</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#aa2fcc1b20eb337a8f3e4da866d13fdf6">LayerSupportHandle::IsConvertFp16ToFp32Supported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span> {</div>
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</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> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">LayerType::ConvertFp16ToFp32</a>,</div>
<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  infos,</div>
<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a>(),</div>
<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00329"></a><span class="lineno"> 329</span> }</div>
<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  </div>
<div class="line"><a name="l00331"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#ab75d2c31ff8f8a1328ef553add2b9d78"> 331</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#ab75d2c31ff8f8a1328ef553add2b9d78">LayerSupportHandle::IsConvertFp32ToFp16Supported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</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>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</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>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">LayerType::ConvertFp32ToFp16</a>,</div>
<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  infos,</div>
<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a>(),</div>
<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00343"></a><span class="lineno"> 343</span> }</div>
<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  </div>
<div class="line"><a name="l00345"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a492131f8af5a6b908d8b5b8758173741"> 345</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a492131f8af5a6b908d8b5b8758173741">LayerSupportHandle::IsConvolution2dSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml">Convolution2dDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& weights,</div>
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<TensorInfo></a>& biases,</div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00351"></a><span class="lineno"> 351</span> {</div>
<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> biasesVal = biases.<a class="code" href="classarmnn_1_1_optional_base.xhtml#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>() ? biases.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>() : <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>();</div>
<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output, weights, biasesVal};</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>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<const BackendOptions::BackendOption></a> capability ;</div>
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keywordflow">if</span> (!m_BackendId.<a class="code" href="classarmnn_1_1_backend_id.xhtml#ae36f5197d26d2e429d9c5fc100c2d500">IsUndefined</a>())</div>
<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  {</div>
<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  capability = <a class="code" href="namespacearmnn.xhtml#a71c3bdadfe1c69aba2cbf054bff47744">GetCapability</a>(<span class="stringliteral">"NonConstWeights"</span>, m_BackendId);</div>
<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="keywordflow">if</span> (!capability.<a class="code" href="classarmnn_1_1_optional_base.xhtml#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>() || capability.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>().GetValue().AsBool() == <span class="keyword">false</span>)</div>
<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  {</div>
<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="keywordflow">if</span> (!weights.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a945263e85c27f3216a8323cfc16d8919">IsConstant</a>())</div>
<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  {</div>
<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <span class="keywordflow">if</span> (reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_base.xhtml#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>())</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>  reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>() =</div>
<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="stringliteral">"Backend is not capable of supporting dynamic weights (NonConstWeights) and "</span></div>
<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <span class="stringliteral">"Convolution2d weights are set as dynamic (non constant). "</span>;</div>
<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  }</div>
<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  }</div>
<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a> && !biasesVal.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a945263e85c27f3216a8323cfc16d8919">IsConstant</a>())</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">if</span> (reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_base.xhtml#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>())</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>  reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>() =</div>
<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <span class="stringliteral">"Backend is not capable of supporting dynamic biases (NonConstWeights) and "</span></div>
<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <span class="stringliteral">"Convolution2d biases are set as dynamic (non constant). "</span>;</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> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  }</div>
<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  </div>
<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <span class="comment">// At the first stage we will only print a warning. this is to give</span></div>
<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <span class="comment">// backend developers a chance to adopt and read weights from input slots.</span></div>
<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd">warning</a>) << <span class="stringliteral">"The backend makes use of a deprecated interface to read constant tensors. "</span></div>
<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <span class="stringliteral">"If you are a backend developer please find more information in our "</span></div>
<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <span class="stringliteral">"doxygen documentation on github https://github.com/ARM-software/armnn "</span></div>
<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="stringliteral">"under the keyword 'ConstTensorsAsInputs'."</span>;</div>
<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  }</div>
<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  }</div>
<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  </div>
<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">LayerType::Convolution2d</a>,</div>
<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  infos,</div>
<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  descriptor,</div>
<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00397"></a><span class="lineno"> 397</span> }</div>
<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  </div>
<div class="line"><a name="l00399"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a62faa7aebcc7e89e43b1e3311b6d5a6f"> 399</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a62faa7aebcc7e89e43b1e3311b6d5a6f">LayerSupportHandle::IsConvolution3dSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution3d_descriptor.xhtml">Convolution3dDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& weights,</div>
<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<TensorInfo></a>& biases,</div>
<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</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>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> biasesVal = biases.<a class="code" href="classarmnn_1_1_optional_base.xhtml#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>() ? biases.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>() : <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>();</div>
<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output, weights, biasesVal};</div>
<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  </div>
<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">LayerType::Convolution3d</a>,</div>
<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  infos,</div>
<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  descriptor,</div>
<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00415"></a><span class="lineno"> 415</span> }</div>
<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  </div>
<div class="line"><a name="l00417"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#ae4e2808ae00d3b75cf74959931d80d32"> 417</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#ae4e2808ae00d3b75cf74959931d80d32">LayerSupportHandle::IsDebugSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00420"></a><span class="lineno"> 420</span> {</div>
<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</div>
<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  </div>
<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba">LayerType::Debug</a>,</div>
<div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  infos,</div>
<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a>(),</div>
<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00429"></a><span class="lineno"> 429</span> }</div>
<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  </div>
<div class="line"><a name="l00431"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a1091fdebb123263e85d177080b7e0060"> 431</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a1091fdebb123263e85d177080b7e0060">LayerSupportHandle::IsDepthToSpaceSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">DepthToSpaceDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00435"></a><span class="lineno"> 435</span> {</div>
<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</div>
<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  </div>
<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d">LayerType::DepthToSpace</a>,</div>
<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  infos,</div>
<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  descriptor,</div>
<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00444"></a><span class="lineno"> 444</span> }</div>
<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  </div>
<div class="line"><a name="l00446"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#ae9a4633ba37ffaa4af8eb73bc2ce0286"> 446</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#ae9a4633ba37ffaa4af8eb73bc2ce0286">LayerSupportHandle::IsDepthwiseConvolutionSupported</a>(</div>
<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">DepthwiseConvolution2dDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& weights,</div>
<div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<TensorInfo></a>& biases,</div>
<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00453"></a><span class="lineno"> 453</span> {</div>
<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> biasesVal = biases.<a class="code" href="classarmnn_1_1_optional_base.xhtml#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>() ? biases.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>() : <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>();</div>
<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output, weights, biasesVal};</div>
<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  </div>
<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<const BackendOptions::BackendOption></a> capability ;</div>
<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <span class="keywordflow">if</span> (!m_BackendId.<a class="code" href="classarmnn_1_1_backend_id.xhtml#ae36f5197d26d2e429d9c5fc100c2d500">IsUndefined</a>())</div>
<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  {</div>
<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  capability = <a class="code" href="namespacearmnn.xhtml#a71c3bdadfe1c69aba2cbf054bff47744">GetCapability</a>(<span class="stringliteral">"NonConstWeights"</span>, m_BackendId);</div>
<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  <span class="keywordflow">if</span> (!capability.<a class="code" href="classarmnn_1_1_optional_base.xhtml#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>() || capability.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>().GetValue().AsBool() == <span class="keyword">false</span>)</div>
<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  {</div>
<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  <span class="keywordflow">if</span> (!weights.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a945263e85c27f3216a8323cfc16d8919">IsConstant</a>())</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">if</span> (reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_base.xhtml#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>())</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>  reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>() =</div>
<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <span class="stringliteral">"Backend is not capable of supporting dynamic weights (NonConstWeights) and "</span></div>
<div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <span class="stringliteral">"DepthwiseConvolution2d weights are set as dynamic (non constant). "</span>;</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> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  }</div>
<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a> && !biasesVal.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a945263e85c27f3216a8323cfc16d8919">IsConstant</a>())</div>
<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  {</div>
<div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <span class="keywordflow">if</span> (reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_base.xhtml#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>())</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>  reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>() =</div>
<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <span class="stringliteral">"Backend is not capable of supporting dynamic biases (NonConstWeights) and "</span></div>
<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="stringliteral">"DepthwiseConvolution2d biases are set as dynamic (non constant). "</span>;</div>
<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  }</div>
<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</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="comment">// At the first stage we will only print a warning. this is to give</span></div>
<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <span class="comment">// backend developers a chance to adopt and read weights from input slots.</span></div>
<div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd">warning</a>) << <span class="stringliteral">"The backend makes use of a deprecated interface to read constant tensors. "</span></div>
<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <span class="stringliteral">"If you are a backend developer please find more information in our "</span></div>
<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  <span class="stringliteral">"doxygen documentation on github https://github.com/ARM-software/armnn "</span></div>
<div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  <span class="stringliteral">"under the keyword 'ConstTensorsAsInputs'."</span>;</div>
<div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  }</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"> 492</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a>,</div>
<div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  infos,</div>
<div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  descriptor,</div>
<div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00498"></a><span class="lineno"> 498</span> }</div>
<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  </div>
<div class="line"><a name="l00500"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a04da66d00ef1d291cea528334dbf8888"> 500</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a04da66d00ef1d291cea528334dbf8888">LayerSupportHandle::IsDequantizeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00503"></a><span class="lineno"> 503</span> {</div>
<div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</div>
<div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  </div>
<div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">LayerType::Dequantize</a>,</div>
<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  infos,</div>
<div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a>(),</div>
<div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00512"></a><span class="lineno"> 512</span> }</div>
<div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  </div>
<div class="line"><a name="l00514"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a9de03af37ec3dbf50b37878f1243cd59"> 514</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a9de03af37ec3dbf50b37878f1243cd59">LayerSupportHandle::IsDetectionPostProcessSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& boxEncodings,</div>
<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& scores,</div>
<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& anchors,</div>
<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& detectionBoxes,</div>
<div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& detectionClasses,</div>
<div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& detectionScores,</div>
<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& numDetections,</div>
<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml">DetectionPostProcessDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</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="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{boxEncodings, scores, anchors, detectionBoxes, detectionClasses, detectionScores, numDetections};</div>
<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  </div>
<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">LayerType::DetectionPostProcess</a>,</div>
<div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  infos,</div>
<div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  descriptor,</div>
<div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  reasonIfUnsupported);</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_layer_support_handle.xhtml#a95f79bae525468353b390abe94b3c80c"> 534</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a95f79bae525468353b390abe94b3c80c">LayerSupportHandle::IsDilatedDepthwiseConvolutionSupported</a>(</div>
<div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">DepthwiseConvolution2dDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& weights,</div>
<div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<TensorInfo></a>& biases,</div>
<div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</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>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> biasesVal = biases.<a class="code" href="classarmnn_1_1_optional_base.xhtml#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>() ? biases.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>() : <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>();</div>
<div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output, weights, biasesVal};</div>
<div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  </div>
<div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<const BackendOptions::BackendOption></a> capability ;</div>
<div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <span class="keywordflow">if</span> (!m_BackendId.<a class="code" href="classarmnn_1_1_backend_id.xhtml#ae36f5197d26d2e429d9c5fc100c2d500">IsUndefined</a>())</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>  capability = <a class="code" href="namespacearmnn.xhtml#a71c3bdadfe1c69aba2cbf054bff47744">GetCapability</a>(<span class="stringliteral">"NonConstWeights"</span>, m_BackendId);</div>
<div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  <span class="keywordflow">if</span> (!capability.<a class="code" href="classarmnn_1_1_optional_base.xhtml#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>() || capability.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>().GetValue().AsBool() == <span class="keyword">false</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"> 551</span>  <span class="keywordflow">if</span> (!weights.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a945263e85c27f3216a8323cfc16d8919">IsConstant</a>())</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>  <span class="keywordflow">if</span> (reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_base.xhtml#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>())</div>
<div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  {</div>
<div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>() =</div>
<div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  <span class="stringliteral">"Backend is not capable of supporting dynamic weights (NonConstWeights) and "</span></div>
<div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  <span class="stringliteral">"DilatedDepthwiseConvolution2d weights are set as dynamic (non constant). "</span>;</div>
<div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  }</div>
<div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</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">if</span> (descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a> && !biasesVal.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a945263e85c27f3216a8323cfc16d8919">IsConstant</a>())</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>  <span class="keywordflow">if</span> (reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_base.xhtml#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>())</div>
<div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  {</div>
<div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>() =</div>
<div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  <span class="stringliteral">"Backend is not capable of supporting dynamic biases (NonConstWeights) and "</span></div>
<div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  <span class="stringliteral">"DilatedDepthwiseConvolution2d biases are set as dynamic (non constant). "</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"> 569</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</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="comment">// At the first stage we will only print a warning. this is to give</span></div>
<div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  <span class="comment">// backend developers a chance to adopt and read weights from input slots.</span></div>
<div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd">warning</a>) << <span class="stringliteral">"The backend makes use of a deprecated interface to read constant tensors. "</span></div>
<div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  <span class="stringliteral">"If you are a backend developer please find more information in our "</span></div>
<div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  <span class="stringliteral">"doxygen documentation on github https://github.com/ARM-software/armnn "</span></div>
<div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  <span class="stringliteral">"under the keyword 'ConstTensorsAsInputs'."</span>;</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"> 579</span>  </div>
<div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a>,</div>
<div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  infos,</div>
<div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  descriptor,</div>
<div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00586"></a><span class="lineno"> 586</span> }</div>
<div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  </div>
<div class="line"><a name="l00588"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a512e9f2a0569448552dada8d0fa56560"> 588</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a512e9f2a0569448552dada8d0fa56560">LayerSupportHandle::IsDivisionSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div>
<div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div>
<div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00592"></a><span class="lineno"> 592</span> {</div>
<div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input0, input1, output};</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> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">LayerType::Division</a>,</div>
<div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  infos,</div>
<div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a>(),</div>
<div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00601"></a><span class="lineno"> 601</span> }</div>
<div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  </div>
<div class="line"><a name="l00603"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#ab14cf394d41e0d2e054168ac750609eb"> 603</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#ab14cf394d41e0d2e054168ac750609eb">LayerSupportHandle::IsElementwiseBinarySupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input0,</div>
<div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input1,</div>
<div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &output,</div>
<div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_binary_descriptor.xhtml">ElementwiseBinaryDescriptor</a> &descriptor,</div>
<div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string &></a> reasonIfUnsupported)</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>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input0, input1, output};</div>
<div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  </div>
<div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">LayerType::ElementwiseBinary</a>,</div>
<div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  infos,</div>
<div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  descriptor,</div>
<div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00617"></a><span class="lineno"> 617</span> }</div>
<div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  </div>
<div class="line"><a name="l00619"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a79c5c5b719cda20e6c98b817d5d017dc"> 619</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a79c5c5b719cda20e6c98b817d5d017dc">LayerSupportHandle::IsElementwiseUnarySupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">ElementwiseUnaryDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00623"></a><span class="lineno"> 623</span> {</div>
<div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</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> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7">LayerType::ElementwiseUnary</a>,</div>
<div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  infos,</div>
<div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  descriptor,</div>
<div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00632"></a><span class="lineno"> 632</span> }</div>
<div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  </div>
<div class="line"><a name="l00634"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a25f39ae864922988e81774018f83184e"> 634</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a25f39ae864922988e81774018f83184e">LayerSupportHandle::IsFakeQuantizationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fake_quantization_descriptor.xhtml">FakeQuantizationDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00637"></a><span class="lineno"> 637</span> {</div>
<div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input};</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> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3489c7b05e180496cb2ce8ac73887f48">LayerType::FakeQuantization</a>,</div>
<div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  infos,</div>
<div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  descriptor,</div>
<div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00646"></a><span class="lineno"> 646</span> }</div>
<div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  </div>
<div class="line"><a name="l00648"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#ad6875dbc48201de4686cea7d92545d20"> 648</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#ad6875dbc48201de4686cea7d92545d20">LayerSupportHandle::IsFillSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fill_descriptor.xhtml">FillDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</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>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</div>
<div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  </div>
<div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed">LayerType::Fill</a>,</div>
<div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  infos,</div>
<div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  descriptor,</div>
<div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00661"></a><span class="lineno"> 661</span> }</div>
<div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  </div>
<div class="line"><a name="l00663"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a8ead902c2b5299ef327260808d68f18e"> 663</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a8ead902c2b5299ef327260808d68f18e">LayerSupportHandle::IsFloorSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00666"></a><span class="lineno"> 666</span> {</div>
<div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</div>
<div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  </div>
<div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af3f6d0343d56ce88ce7958170ed05cb3">LayerType::Floor</a>,</div>
<div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  infos,</div>
<div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a>(),</div>
<div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00675"></a><span class="lineno"> 675</span> }</div>
<div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  </div>
<div class="line"><a name="l00677"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a2d5274abadcaba1d3065d2e411c7a180"> 677</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a2d5274abadcaba1d3065d2e411c7a180">LayerSupportHandle::IsFullyConnectedSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& weights,</div>
<div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& biases,</div>
<div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml">FullyConnectedDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00683"></a><span class="lineno"> 683</span> {</div>
<div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output, weights, biases};</div>
<div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  </div>
<div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<const BackendOptions::BackendOption></a> capability;</div>
<div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  <span class="keywordflow">if</span> (!m_BackendId.<a class="code" href="classarmnn_1_1_backend_id.xhtml#ae36f5197d26d2e429d9c5fc100c2d500">IsUndefined</a>())</div>
<div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  {</div>
<div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  capability = <a class="code" href="namespacearmnn.xhtml#a71c3bdadfe1c69aba2cbf054bff47744">GetCapability</a>(<span class="stringliteral">"NonConstWeights"</span>, m_BackendId);</div>
<div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  <span class="keywordflow">if</span> (!capability.<a class="code" href="classarmnn_1_1_optional_base.xhtml#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>() || capability.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>().GetValue().AsBool() == <span class="keyword">false</span>)</div>
<div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  {</div>
<div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  <span class="keywordflow">if</span> (!descriptor.<a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#a2d3dcfc10f90adedc995b64211dab6e9">m_ConstantWeights</a>)</div>
<div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  {</div>
<div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  <span class="keywordflow">if</span> (reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_base.xhtml#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>())</div>
<div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  {</div>
<div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>() =</div>
<div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  <span class="stringliteral">"Backend is not capable of supporting dynamic weights (NonConstWeights) and "</span></div>
<div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  <span class="stringliteral">"FullyConnected descriptor indicates that weights are dynamic (non constant). "</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"> 700</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</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="keywordflow">if</span> (!weights.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a945263e85c27f3216a8323cfc16d8919">IsConstant</a>())</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>  <span class="keywordflow">if</span> (reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_base.xhtml#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>())</div>
<div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  {</div>
<div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>() =</div>
<div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  <span class="stringliteral">"Backend is not capable of supporting dynamic weights (NonConstWeights) and "</span></div>
<div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  <span class="stringliteral">"FullyConnected weights are set as dynamic (non constant). "</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"> 710</span>  </div>
<div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  }</div>
<div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a> && !biases.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a945263e85c27f3216a8323cfc16d8919">IsConstant</a>())</div>
<div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  {</div>
<div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  <span class="keywordflow">if</span> (reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_base.xhtml#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>())</div>
<div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  {</div>
<div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  reasonIfUnsupported.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>() =</div>
<div class="line"><a name="l00718"></a><span class="lineno"> 718</span>  <span class="stringliteral">"Backend is not capable of supporting dynamic biases (NonConstWeights) and "</span></div>
<div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  <span class="stringliteral">"FullyConnected biases are set as dynamic (non constant). "</span>;</div>
<div class="line"><a name="l00720"></a><span class="lineno"> 720</span>  }</div>
<div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  }</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>  <span class="comment">// At the first stage we will only print a warning. this is to give</span></div>
<div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  <span class="comment">// backend developers a chance to adopt and read weights from input slots.</span></div>
<div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd">warning</a>) << <span class="stringliteral">"The backend makes use of a deprecated interface to read constant tensors. "</span></div>
<div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  <span class="stringliteral">"If you are a backend developer please find more information in our "</span></div>
<div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  <span class="stringliteral">"doxygen documentation on github https://github.com/ARM-software/armnn "</span></div>
<div class="line"><a name="l00729"></a><span class="lineno"> 729</span>  <span class="stringliteral">"under the keyword 'ConstTensorsAsInputs'."</span>;</div>
<div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  }</div>
<div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  }</div>
<div class="line"><a name="l00732"></a><span class="lineno"> 732</span>  </div>
<div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">LayerType::FullyConnected</a>,</div>
<div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  infos,</div>
<div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  descriptor,</div>
<div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  reasonIfUnsupported);</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_layer_support_handle.xhtml#a7ef5e420337dd6c60ff00a780da8b8e7"> 741</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a7ef5e420337dd6c60ff00a780da8b8e7">LayerSupportHandle::IsGatherSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div>
<div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div>
<div class="line"><a name="l00743"></a><span class="lineno"> 743</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_gather_descriptor.xhtml">GatherDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00745"></a><span class="lineno"> 745</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00746"></a><span class="lineno"> 746</span> {</div>
<div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input0, input1, output};</div>
<div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  </div>
<div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53">LayerType::Gather</a>,</div>
<div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  infos,</div>
<div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  descriptor,</div>
<div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00755"></a><span class="lineno"> 755</span> }</div>
<div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  </div>
<div class="line"><a name="l00757"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a13ea2c461ec421c0ce6eb1be1d540fb4"> 757</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a13ea2c461ec421c0ce6eb1be1d540fb4">LayerSupportHandle::IsGatherNdSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div>
<div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div>
<div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00761"></a><span class="lineno"> 761</span> {</div>
<div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input0, input1, output};</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>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3028cc42e40f9a1f4f8b35556d9715a4">LayerType::GatherNd</a>,</div>
<div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  infos,</div>
<div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a>(),</div>
<div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00768"></a><span class="lineno"> 768</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  reasonIfUnsupported);</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>  </div>
<div class="line"><a name="l00772"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#ae1dd7bce774b0aa7dd3524eb44f89a55"> 772</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#ae1dd7bce774b0aa7dd3524eb44f89a55">LayerSupportHandle::IsInputSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00774"></a><span class="lineno"> 774</span> {</div>
<div class="line"><a name="l00775"></a><span class="lineno"> 775</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input};</div>
<div class="line"><a name="l00776"></a><span class="lineno"> 776</span>  </div>
<div class="line"><a name="l00777"></a><span class="lineno"> 777</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>,</div>
<div class="line"><a name="l00778"></a><span class="lineno"> 778</span>  infos,</div>
<div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a>(),</div>
<div class="line"><a name="l00780"></a><span class="lineno"> 780</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00781"></a><span class="lineno"> 781</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00782"></a><span class="lineno"> 782</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00783"></a><span class="lineno"> 783</span> }</div>
<div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  </div>
<div class="line"><a name="l00785"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a7d0dbbd1bcbe31d7cf1d0f0773a9cfc9"> 785</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a7d0dbbd1bcbe31d7cf1d0f0773a9cfc9">LayerSupportHandle::IsInstanceNormalizationSupported</a>(</div>
<div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml">InstanceNormalizationDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00790"></a><span class="lineno"> 790</span> {</div>
<div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</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>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4">LayerType::InstanceNormalization</a>,</div>
<div class="line"><a name="l00794"></a><span class="lineno"> 794</span>  infos,</div>
<div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  descriptor,</div>
<div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00799"></a><span class="lineno"> 799</span> }</div>
<div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  </div>
<div class="line"><a name="l00801"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#aa873260ae605212ed99da7783a9dc9c1"> 801</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#aa873260ae605212ed99da7783a9dc9c1">LayerSupportHandle::IsL2NormalizationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00803"></a><span class="lineno"> 803</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_l2_normalization_descriptor.xhtml">L2NormalizationDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00804"></a><span class="lineno"> 804</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00805"></a><span class="lineno"> 805</span> {</div>
<div class="line"><a name="l00806"></a><span class="lineno"> 806</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</div>
<div class="line"><a name="l00807"></a><span class="lineno"> 807</span>  </div>
<div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">LayerType::L2Normalization</a>,</div>
<div class="line"><a name="l00809"></a><span class="lineno"> 809</span>  infos,</div>
<div class="line"><a name="l00810"></a><span class="lineno"> 810</span>  descriptor,</div>
<div class="line"><a name="l00811"></a><span class="lineno"> 811</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00812"></a><span class="lineno"> 812</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  reasonIfUnsupported);</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>  </div>
<div class="line"><a name="l00816"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#ad27447d85b494ac487e6747699f984e6"> 816</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#ad27447d85b494ac487e6747699f984e6">LayerSupportHandle::IsLogicalBinarySupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div>
<div class="line"><a name="l00817"></a><span class="lineno"> 817</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div>
<div class="line"><a name="l00818"></a><span class="lineno"> 818</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00819"></a><span class="lineno"> 819</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_logical_binary_descriptor.xhtml">LogicalBinaryDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00820"></a><span class="lineno"> 820</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00821"></a><span class="lineno"> 821</span> {</div>
<div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input0, input1, output};</div>
<div class="line"><a name="l00823"></a><span class="lineno"> 823</span>  </div>
<div class="line"><a name="l00824"></a><span class="lineno"> 824</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30">LayerType::LogicalBinary</a>,</div>
<div class="line"><a name="l00825"></a><span class="lineno"> 825</span>  infos,</div>
<div class="line"><a name="l00826"></a><span class="lineno"> 826</span>  descriptor,</div>
<div class="line"><a name="l00827"></a><span class="lineno"> 827</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00828"></a><span class="lineno"> 828</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00829"></a><span class="lineno"> 829</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00830"></a><span class="lineno"> 830</span> }</div>
<div class="line"><a name="l00831"></a><span class="lineno"> 831</span>  </div>
<div class="line"><a name="l00832"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a1c15b1a6fe9a0ad5fc3bec97ad7be376"> 832</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a1c15b1a6fe9a0ad5fc3bec97ad7be376">LayerSupportHandle::IsLogicalUnarySupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l00833"></a><span class="lineno"> 833</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00834"></a><span class="lineno"> 834</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">ElementwiseUnaryDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00835"></a><span class="lineno"> 835</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00836"></a><span class="lineno"> 836</span> {</div>
<div class="line"><a name="l00837"></a><span class="lineno"> 837</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</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">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7">LayerType::ElementwiseUnary</a>,</div>
<div class="line"><a name="l00840"></a><span class="lineno"> 840</span>  infos,</div>
<div class="line"><a name="l00841"></a><span class="lineno"> 841</span>  descriptor,</div>
<div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00843"></a><span class="lineno"> 843</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00844"></a><span class="lineno"> 844</span>  reasonIfUnsupported);</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="classarmnn_1_1_layer_support_handle.xhtml#ab3db15cd8b26b0d524e38a032038909f"> 847</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#ab3db15cd8b26b0d524e38a032038909f">LayerSupportHandle::IsLogSoftmaxSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00849"></a><span class="lineno"> 849</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">LogSoftmaxDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00851"></a><span class="lineno"> 851</span> {</div>
<div class="line"><a name="l00852"></a><span class="lineno"> 852</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</div>
<div class="line"><a name="l00853"></a><span class="lineno"> 853</span>  </div>
<div class="line"><a name="l00854"></a><span class="lineno"> 854</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">LayerType::LogSoftmax</a>,</div>
<div class="line"><a name="l00855"></a><span class="lineno"> 855</span>  infos,</div>
<div class="line"><a name="l00856"></a><span class="lineno"> 856</span>  descriptor,</div>
<div class="line"><a name="l00857"></a><span class="lineno"> 857</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00858"></a><span class="lineno"> 858</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00859"></a><span class="lineno"> 859</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00860"></a><span class="lineno"> 860</span> }</div>
<div class="line"><a name="l00861"></a><span class="lineno"> 861</span>  </div>
<div class="line"><a name="l00862"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#aa07db64cfdc35b36c98c85a151ced2c3"> 862</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#aa07db64cfdc35b36c98c85a151ced2c3">LayerSupportHandle::IsLstmSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& outputStateIn,</div>
<div class="line"><a name="l00864"></a><span class="lineno"> 864</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& cellStateIn,</div>
<div class="line"><a name="l00865"></a><span class="lineno"> 865</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& scratchBuffer,</div>
<div class="line"><a name="l00866"></a><span class="lineno"> 866</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& outputStateOut,</div>
<div class="line"><a name="l00867"></a><span class="lineno"> 867</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& cellStateOut,</div>
<div class="line"><a name="l00868"></a><span class="lineno"> 868</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00869"></a><span class="lineno"> 869</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml">LstmDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00870"></a><span class="lineno"> 870</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml">LstmInputParamsInfo</a>& paramsInfo,</div>
<div class="line"><a name="l00871"></a><span class="lineno"> 871</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00872"></a><span class="lineno"> 872</span> {</div>
<div class="line"><a name="l00873"></a><span class="lineno"> 873</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, outputStateIn, cellStateIn, scratchBuffer, outputStateOut, cellStateOut, output};</div>
<div class="line"><a name="l00874"></a><span class="lineno"> 874</span>  </div>
<div class="line"><a name="l00875"></a><span class="lineno"> 875</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925">LayerType::Lstm</a>,</div>
<div class="line"><a name="l00876"></a><span class="lineno"> 876</span>  infos,</div>
<div class="line"><a name="l00877"></a><span class="lineno"> 877</span>  descriptor,</div>
<div class="line"><a name="l00878"></a><span class="lineno"> 878</span>  paramsInfo,</div>
<div class="line"><a name="l00879"></a><span class="lineno"> 879</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00880"></a><span class="lineno"> 880</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00881"></a><span class="lineno"> 881</span> }</div>
<div class="line"><a name="l00882"></a><span class="lineno"> 882</span>  </div>
<div class="line"><a name="l00883"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a5baeb3570280a96f36a31aea428bad93"> 883</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a5baeb3570280a96f36a31aea428bad93">LayerSupportHandle::IsMaximumSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div>
<div class="line"><a name="l00884"></a><span class="lineno"> 884</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div>
<div class="line"><a name="l00885"></a><span class="lineno"> 885</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00886"></a><span class="lineno"> 886</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00887"></a><span class="lineno"> 887</span> {</div>
<div class="line"><a name="l00888"></a><span class="lineno"> 888</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input0, input1, output};</div>
<div class="line"><a name="l00889"></a><span class="lineno"> 889</span>  </div>
<div class="line"><a name="l00890"></a><span class="lineno"> 890</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892">LayerType::Maximum</a>,</div>
<div class="line"><a name="l00891"></a><span class="lineno"> 891</span>  infos,</div>
<div class="line"><a name="l00892"></a><span class="lineno"> 892</span>  <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a>(),</div>
<div class="line"><a name="l00893"></a><span class="lineno"> 893</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00894"></a><span class="lineno"> 894</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00895"></a><span class="lineno"> 895</span>  reasonIfUnsupported);</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>  </div>
<div class="line"><a name="l00898"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#acdc0add206b2be4aa1f3cc06990e8902"> 898</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#acdc0add206b2be4aa1f3cc06990e8902">LayerSupportHandle::IsMeanSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l00899"></a><span class="lineno"> 899</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00900"></a><span class="lineno"> 900</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml">MeanDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00901"></a><span class="lineno"> 901</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00902"></a><span class="lineno"> 902</span> {</div>
<div class="line"><a name="l00903"></a><span class="lineno"> 903</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</div>
<div class="line"><a name="l00904"></a><span class="lineno"> 904</span>  </div>
<div class="line"><a name="l00905"></a><span class="lineno"> 905</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d">LayerType::Mean</a>,</div>
<div class="line"><a name="l00906"></a><span class="lineno"> 906</span>  infos,</div>
<div class="line"><a name="l00907"></a><span class="lineno"> 907</span>  descriptor,</div>
<div class="line"><a name="l00908"></a><span class="lineno"> 908</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00909"></a><span class="lineno"> 909</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00910"></a><span class="lineno"> 910</span>  reasonIfUnsupported);</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"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#acf1dbab33ad4dfddb5c77d1b5615e0f9"> 913</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#acf1dbab33ad4dfddb5c77d1b5615e0f9">LayerSupportHandle::IsMemCopySupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l00914"></a><span class="lineno"> 914</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00915"></a><span class="lineno"> 915</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00916"></a><span class="lineno"> 916</span> {</div>
<div class="line"><a name="l00917"></a><span class="lineno"> 917</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</div>
<div class="line"><a name="l00918"></a><span class="lineno"> 918</span>  </div>
<div class="line"><a name="l00919"></a><span class="lineno"> 919</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">LayerType::MemCopy</a>,</div>
<div class="line"><a name="l00920"></a><span class="lineno"> 920</span>  infos,</div>
<div class="line"><a name="l00921"></a><span class="lineno"> 921</span>  <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a>(),</div>
<div class="line"><a name="l00922"></a><span class="lineno"> 922</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00923"></a><span class="lineno"> 923</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00924"></a><span class="lineno"> 924</span>  reasonIfUnsupported);</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"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a8d9016c939cefa350d98bf0de1df12c3"> 927</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a8d9016c939cefa350d98bf0de1df12c3">LayerSupportHandle::IsMemImportSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l00928"></a><span class="lineno"> 928</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00929"></a><span class="lineno"> 929</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00930"></a><span class="lineno"> 930</span> {</div>
<div class="line"><a name="l00931"></a><span class="lineno"> 931</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</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>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">LayerType::MemImport</a>,</div>
<div class="line"><a name="l00934"></a><span class="lineno"> 934</span>  infos,</div>
<div class="line"><a name="l00935"></a><span class="lineno"> 935</span>  <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a>(),</div>
<div class="line"><a name="l00936"></a><span class="lineno"> 936</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00937"></a><span class="lineno"> 937</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00938"></a><span class="lineno"> 938</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00939"></a><span class="lineno"> 939</span> }</div>
<div class="line"><a name="l00940"></a><span class="lineno"> 940</span>  </div>
<div class="line"><a name="l00941"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a284539ab273e1816e76f320bf90e9546"> 941</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a284539ab273e1816e76f320bf90e9546">LayerSupportHandle::IsMergeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div>
<div class="line"><a name="l00942"></a><span class="lineno"> 942</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div>
<div class="line"><a name="l00943"></a><span class="lineno"> 943</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00944"></a><span class="lineno"> 944</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00945"></a><span class="lineno"> 945</span> {</div>
<div class="line"><a name="l00946"></a><span class="lineno"> 946</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input0, input1, output};</div>
<div class="line"><a name="l00947"></a><span class="lineno"> 947</span>  </div>
<div class="line"><a name="l00948"></a><span class="lineno"> 948</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00">LayerType::Merge</a>,</div>
<div class="line"><a name="l00949"></a><span class="lineno"> 949</span>  infos,</div>
<div class="line"><a name="l00950"></a><span class="lineno"> 950</span>  <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a>(),</div>
<div class="line"><a name="l00951"></a><span class="lineno"> 951</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00952"></a><span class="lineno"> 952</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00953"></a><span class="lineno"> 953</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00954"></a><span class="lineno"> 954</span> }</div>
<div class="line"><a name="l00955"></a><span class="lineno"> 955</span>  </div>
<div class="line"><a name="l00956"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a9bde2dc2423d317d1c61f5198a32ffc5"> 956</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a9bde2dc2423d317d1c61f5198a32ffc5">LayerSupportHandle::IsMinimumSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div>
<div class="line"><a name="l00957"></a><span class="lineno"> 957</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div>
<div class="line"><a name="l00958"></a><span class="lineno"> 958</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00959"></a><span class="lineno"> 959</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</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>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input0, input1, output};</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="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4">LayerType::Minimum</a>,</div>
<div class="line"><a name="l00964"></a><span class="lineno"> 964</span>  infos,</div>
<div class="line"><a name="l00965"></a><span class="lineno"> 965</span>  <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a>(),</div>
<div class="line"><a name="l00966"></a><span class="lineno"> 966</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00967"></a><span class="lineno"> 967</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00968"></a><span class="lineno"> 968</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00969"></a><span class="lineno"> 969</span> }</div>
<div class="line"><a name="l00970"></a><span class="lineno"> 970</span>  </div>
<div class="line"><a name="l00971"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#add5a8f2717325875648d328a3600b929"> 971</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#add5a8f2717325875648d328a3600b929">LayerSupportHandle::IsMultiplicationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div>
<div class="line"><a name="l00972"></a><span class="lineno"> 972</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div>
<div class="line"><a name="l00973"></a><span class="lineno"> 973</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00974"></a><span class="lineno"> 974</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l00975"></a><span class="lineno"> 975</span> {</div>
<div class="line"><a name="l00976"></a><span class="lineno"> 976</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input0, input1, output};</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>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">LayerType::Multiplication</a>,</div>
<div class="line"><a name="l00979"></a><span class="lineno"> 979</span>  infos,</div>
<div class="line"><a name="l00980"></a><span class="lineno"> 980</span>  <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a>(),</div>
<div class="line"><a name="l00981"></a><span class="lineno"> 981</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00982"></a><span class="lineno"> 982</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00983"></a><span class="lineno"> 983</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00984"></a><span class="lineno"> 984</span> }</div>
<div class="line"><a name="l00985"></a><span class="lineno"> 985</span>  </div>
<div class="line"><a name="l00986"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a377fd57c904ad7550bbc3a9132c22ebd"> 986</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a377fd57c904ad7550bbc3a9132c22ebd">LayerSupportHandle::IsNormalizationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l00987"></a><span class="lineno"> 987</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l00988"></a><span class="lineno"> 988</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml">NormalizationDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00989"></a><span class="lineno"> 989</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</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>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</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">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f">LayerType::Normalization</a>,</div>
<div class="line"><a name="l00994"></a><span class="lineno"> 994</span>  infos,</div>
<div class="line"><a name="l00995"></a><span class="lineno"> 995</span>  descriptor,</div>
<div class="line"><a name="l00996"></a><span class="lineno"> 996</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00997"></a><span class="lineno"> 997</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l00998"></a><span class="lineno"> 998</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l00999"></a><span class="lineno"> 999</span> }</div>
<div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>  </div>
<div class="line"><a name="l01001"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a35e39e6ee9f01ac026213845c74d9c73"> 1001</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a35e39e6ee9f01ac026213845c74d9c73">LayerSupportHandle::IsOutputSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l01003"></a><span class="lineno"> 1003</span> {</div>
<div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{output};</div>
<div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>  </div>
<div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a>,</div>
<div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>  infos,</div>
<div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>  <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a>(),</div>
<div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l01012"></a><span class="lineno"> 1012</span> }</div>
<div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>  </div>
<div class="line"><a name="l01014"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a61938d90f2190e9a434548adbd9bde16"> 1014</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a61938d90f2190e9a434548adbd9bde16">LayerSupportHandle::IsPadSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml">PadDescriptor</a>& descriptor,</div>
<div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</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>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</div>
<div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>  </div>
<div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">LayerType::Pad</a>,</div>
<div class="line"><a name="l01022"></a><span class="lineno"> 1022</span>  infos,</div>
<div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>  descriptor,</div>
<div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>  reasonIfUnsupported);</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="classarmnn_1_1_layer_support_handle.xhtml#a14351d5b82d15aba03b8bd6891812116"> 1029</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a14351d5b82d15aba03b8bd6891812116">LayerSupportHandle::IsPermuteSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_permute_descriptor.xhtml">PermuteDescriptor</a>& descriptor,</div>
<div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l01033"></a><span class="lineno"> 1033</span> {</div>
<div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</div>
<div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>  </div>
<div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">LayerType::Permute</a>,</div>
<div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>  infos,</div>
<div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>  descriptor,</div>
<div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l01042"></a><span class="lineno"> 1042</span> }</div>
<div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>  </div>
<div class="line"><a name="l01044"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a425de524495e5ea749baeb66582f793f"> 1044</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a425de524495e5ea749baeb66582f793f">LayerSupportHandle::IsPooling2dSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l01046"></a><span class="lineno"> 1046</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml">Pooling2dDescriptor</a>& descriptor,</div>
<div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</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="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</div>
<div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>  </div>
<div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">LayerType::Pooling2d</a>,</div>
<div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>  infos,</div>
<div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>  descriptor,</div>
<div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l01057"></a><span class="lineno"> 1057</span> }</div>
<div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>  </div>
<div class="line"><a name="l01059"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#abe8e1064e0eedc0ba00d547f10fa1f3a"> 1059</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#abe8e1064e0eedc0ba00d547f10fa1f3a">LayerSupportHandle::IsPooling3dSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pooling3d_descriptor.xhtml">Pooling3dDescriptor</a>& descriptor,</div>
<div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l01063"></a><span class="lineno"> 1063</span> {</div>
<div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</div>
<div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>  </div>
<div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c">LayerType::Pooling3d</a>,</div>
<div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>  infos,</div>
<div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>  descriptor,</div>
<div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01071"></a><span class="lineno"> 1071</span>  reasonIfUnsupported);</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"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a670680b77e9a5f921d7d3e82971f1c50"> 1074</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a670680b77e9a5f921d7d3e82971f1c50">LayerSupportHandle::IsPreCompiledSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l01075"></a><span class="lineno"> 1075</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pre_compiled_descriptor.xhtml">PreCompiledDescriptor</a>& descriptor,</div>
<div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l01077"></a><span class="lineno"> 1077</span> {</div>
<div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input};</div>
<div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>  </div>
<div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1ba143ebe524d46181a4b53470693278">LayerType::PreCompiled</a>,</div>
<div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>  infos,</div>
<div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>  descriptor,</div>
<div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>  reasonIfUnsupported);</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"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a42baab5c8ebed94453b04f5003d5b350"> 1088</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a42baab5c8ebed94453b04f5003d5b350">LayerSupportHandle::IsPreluSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& alpha,</div>
<div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l01092"></a><span class="lineno"> 1092</span> {</div>
<div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, alpha, output};</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>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">LayerType::Prelu</a>,</div>
<div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>  infos,</div>
<div class="line"><a name="l01097"></a><span class="lineno"> 1097</span>  <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a>(),</div>
<div class="line"><a name="l01098"></a><span class="lineno"> 1098</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01099"></a><span class="lineno"> 1099</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01100"></a><span class="lineno"> 1100</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l01101"></a><span class="lineno"> 1101</span> }</div>
<div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>  </div>
<div class="line"><a name="l01103"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a8591ee5c0af1e6e8cb9dd303e09b9329"> 1103</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a8591ee5c0af1e6e8cb9dd303e09b9329">LayerSupportHandle::IsQuantizeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l01104"></a><span class="lineno"> 1104</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l01105"></a><span class="lineno"> 1105</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l01106"></a><span class="lineno"> 1106</span> {</div>
<div class="line"><a name="l01107"></a><span class="lineno"> 1107</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</div>
<div class="line"><a name="l01108"></a><span class="lineno"> 1108</span>  </div>
<div class="line"><a name="l01109"></a><span class="lineno"> 1109</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">LayerType::Quantize</a>,</div>
<div class="line"><a name="l01110"></a><span class="lineno"> 1110</span>  infos,</div>
<div class="line"><a name="l01111"></a><span class="lineno"> 1111</span>  <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a>(),</div>
<div class="line"><a name="l01112"></a><span class="lineno"> 1112</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01113"></a><span class="lineno"> 1113</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01114"></a><span class="lineno"> 1114</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l01115"></a><span class="lineno"> 1115</span> }</div>
<div class="line"><a name="l01116"></a><span class="lineno"> 1116</span>  </div>
<div class="line"><a name="l01117"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#ae6871b9b6a4b8d56ec70caaf25721598"> 1117</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#ae6871b9b6a4b8d56ec70caaf25721598">LayerSupportHandle::IsQLstmSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l01118"></a><span class="lineno"> 1118</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& previousOutputIn,</div>
<div class="line"><a name="l01119"></a><span class="lineno"> 1119</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& previousCellStateIn,</div>
<div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& outputStateOut,</div>
<div class="line"><a name="l01121"></a><span class="lineno"> 1121</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& cellStateOut,</div>
<div class="line"><a name="l01122"></a><span class="lineno"> 1122</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l01123"></a><span class="lineno"> 1123</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml">QLstmDescriptor</a>& descriptor,</div>
<div class="line"><a name="l01124"></a><span class="lineno"> 1124</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml">LstmInputParamsInfo</a>& paramsInfo,</div>
<div class="line"><a name="l01125"></a><span class="lineno"> 1125</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</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>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, previousOutputIn, previousCellStateIn, outputStateOut, cellStateOut, output};</div>
<div class="line"><a name="l01128"></a><span class="lineno"> 1128</span>  </div>
<div class="line"><a name="l01129"></a><span class="lineno"> 1129</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">LayerType::QLstm</a>,</div>
<div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>  infos,</div>
<div class="line"><a name="l01131"></a><span class="lineno"> 1131</span>  descriptor,</div>
<div class="line"><a name="l01132"></a><span class="lineno"> 1132</span>  paramsInfo,</div>
<div class="line"><a name="l01133"></a><span class="lineno"> 1133</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01134"></a><span class="lineno"> 1134</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l01135"></a><span class="lineno"> 1135</span> }</div>
<div class="line"><a name="l01136"></a><span class="lineno"> 1136</span>  </div>
<div class="line"><a name="l01137"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a9ebdb86421ed46f710b5f0be0e6cd65c"> 1137</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a9ebdb86421ed46f710b5f0be0e6cd65c">LayerSupportHandle::IsQuantizedLstmSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& previousCellStateIn,</div>
<div class="line"><a name="l01139"></a><span class="lineno"> 1139</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& previousOutputIn,</div>
<div class="line"><a name="l01140"></a><span class="lineno"> 1140</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& cellStateOut,</div>
<div class="line"><a name="l01141"></a><span class="lineno"> 1141</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l01142"></a><span class="lineno"> 1142</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml">QuantizedLstmInputParamsInfo</a>& paramsInfo,</div>
<div class="line"><a name="l01143"></a><span class="lineno"> 1143</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</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>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, previousCellStateIn, previousOutputIn, cellStateOut, output};</div>
<div class="line"><a name="l01146"></a><span class="lineno"> 1146</span>  </div>
<div class="line"><a name="l01147"></a><span class="lineno"> 1147</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">LayerType::QuantizedLstm</a>,</div>
<div class="line"><a name="l01148"></a><span class="lineno"> 1148</span>  infos,</div>
<div class="line"><a name="l01149"></a><span class="lineno"> 1149</span>  <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a>(),</div>
<div class="line"><a name="l01150"></a><span class="lineno"> 1150</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01151"></a><span class="lineno"> 1151</span>  paramsInfo,</div>
<div class="line"><a name="l01152"></a><span class="lineno"> 1152</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l01153"></a><span class="lineno"> 1153</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"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a83e575fda7eaaf4ec619bb2a1475215a"> 1155</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a83e575fda7eaaf4ec619bb2a1475215a">LayerSupportHandle::IsRankSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l01156"></a><span class="lineno"> 1156</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l01157"></a><span class="lineno"> 1157</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</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>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</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>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3">LayerType::Rank</a>,</div>
<div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>  infos,</div>
<div class="line"><a name="l01163"></a><span class="lineno"> 1163</span>  <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a>(),</div>
<div class="line"><a name="l01164"></a><span class="lineno"> 1164</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01165"></a><span class="lineno"> 1165</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01166"></a><span class="lineno"> 1166</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l01167"></a><span class="lineno"> 1167</span> }</div>
<div class="line"><a name="l01168"></a><span class="lineno"> 1168</span>  </div>
<div class="line"><a name="l01169"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a7acaa4ebbfe486c22d91d34892647f00"> 1169</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a7acaa4ebbfe486c22d91d34892647f00">LayerSupportHandle::IsReduceSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l01170"></a><span class="lineno"> 1170</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l01171"></a><span class="lineno"> 1171</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reduce_descriptor.xhtml">ReduceDescriptor</a>& descriptor,</div>
<div class="line"><a name="l01172"></a><span class="lineno"> 1172</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</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="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</div>
<div class="line"><a name="l01175"></a><span class="lineno"> 1175</span>  </div>
<div class="line"><a name="l01176"></a><span class="lineno"> 1176</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">LayerType::Reduce</a>,</div>
<div class="line"><a name="l01177"></a><span class="lineno"> 1177</span>  infos,</div>
<div class="line"><a name="l01178"></a><span class="lineno"> 1178</span>  descriptor,</div>
<div class="line"><a name="l01179"></a><span class="lineno"> 1179</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01180"></a><span class="lineno"> 1180</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01181"></a><span class="lineno"> 1181</span>  reasonIfUnsupported);</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"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#abe180ec59b242ebcab0d4d6fa76d8a5b"> 1184</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#abe180ec59b242ebcab0d4d6fa76d8a5b">LayerSupportHandle::IsReshapeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l01185"></a><span class="lineno"> 1185</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l01186"></a><span class="lineno"> 1186</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reshape_descriptor.xhtml">ReshapeDescriptor</a>& descriptor,</div>
<div class="line"><a name="l01187"></a><span class="lineno"> 1187</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l01188"></a><span class="lineno"> 1188</span> {</div>
<div class="line"><a name="l01189"></a><span class="lineno"> 1189</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</div>
<div class="line"><a name="l01190"></a><span class="lineno"> 1190</span>  </div>
<div class="line"><a name="l01191"></a><span class="lineno"> 1191</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">LayerType::Reshape</a>,</div>
<div class="line"><a name="l01192"></a><span class="lineno"> 1192</span>  infos,</div>
<div class="line"><a name="l01193"></a><span class="lineno"> 1193</span>  descriptor,</div>
<div class="line"><a name="l01194"></a><span class="lineno"> 1194</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01195"></a><span class="lineno"> 1195</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01196"></a><span class="lineno"> 1196</span>  reasonIfUnsupported);</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>  </div>
<div class="line"><a name="l01199"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#ad9d63207a6729eb7aee5799925b947f1"> 1199</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#ad9d63207a6729eb7aee5799925b947f1">LayerSupportHandle::IsResizeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l01200"></a><span class="lineno"> 1200</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l01201"></a><span class="lineno"> 1201</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml">ResizeDescriptor</a>& descriptor,</div>
<div class="line"><a name="l01202"></a><span class="lineno"> 1202</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l01203"></a><span class="lineno"> 1203</span> {</div>
<div class="line"><a name="l01204"></a><span class="lineno"> 1204</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</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">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">LayerType::Resize</a>,</div>
<div class="line"><a name="l01207"></a><span class="lineno"> 1207</span>  infos,</div>
<div class="line"><a name="l01208"></a><span class="lineno"> 1208</span>  descriptor,</div>
<div class="line"><a name="l01209"></a><span class="lineno"> 1209</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01210"></a><span class="lineno"> 1210</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01211"></a><span class="lineno"> 1211</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l01212"></a><span class="lineno"> 1212</span> }</div>
<div class="line"><a name="l01213"></a><span class="lineno"> 1213</span>  </div>
<div class="line"><a name="l01214"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#ad43a5771d0a7c807d847f102d958bd7e"> 1214</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#ad43a5771d0a7c807d847f102d958bd7e">LayerSupportHandle::IsShapeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l01215"></a><span class="lineno"> 1215</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l01216"></a><span class="lineno"> 1216</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l01217"></a><span class="lineno"> 1217</span> {</div>
<div class="line"><a name="l01218"></a><span class="lineno"> 1218</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</div>
<div class="line"><a name="l01219"></a><span class="lineno"> 1219</span>  </div>
<div class="line"><a name="l01220"></a><span class="lineno"> 1220</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a880c1273b27d27cfc82004c3a4b205c9">LayerType::Shape</a>,</div>
<div class="line"><a name="l01221"></a><span class="lineno"> 1221</span>  infos,</div>
<div class="line"><a name="l01222"></a><span class="lineno"> 1222</span>  <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a>(),</div>
<div class="line"><a name="l01223"></a><span class="lineno"> 1223</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01224"></a><span class="lineno"> 1224</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01225"></a><span class="lineno"> 1225</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l01226"></a><span class="lineno"> 1226</span> }</div>
<div class="line"><a name="l01227"></a><span class="lineno"> 1227</span>  </div>
<div class="line"><a name="l01228"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a07a5657f1412279928aba85d387ec692"> 1228</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a07a5657f1412279928aba85d387ec692">LayerSupportHandle::IsSliceSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l01229"></a><span class="lineno"> 1229</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l01230"></a><span class="lineno"> 1230</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_slice_descriptor.xhtml">SliceDescriptor</a>& descriptor,</div>
<div class="line"><a name="l01231"></a><span class="lineno"> 1231</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l01232"></a><span class="lineno"> 1232</span> {</div>
<div class="line"><a name="l01233"></a><span class="lineno"> 1233</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</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>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb">LayerType::Slice</a>,</div>
<div class="line"><a name="l01236"></a><span class="lineno"> 1236</span>  infos,</div>
<div class="line"><a name="l01237"></a><span class="lineno"> 1237</span>  descriptor,</div>
<div class="line"><a name="l01238"></a><span class="lineno"> 1238</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01239"></a><span class="lineno"> 1239</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01240"></a><span class="lineno"> 1240</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l01241"></a><span class="lineno"> 1241</span> }</div>
<div class="line"><a name="l01242"></a><span class="lineno"> 1242</span>  </div>
<div class="line"><a name="l01243"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a89407076f8400401c82e53ba269c8604"> 1243</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a89407076f8400401c82e53ba269c8604">LayerSupportHandle::IsSoftmaxSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l01244"></a><span class="lineno"> 1244</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l01245"></a><span class="lineno"> 1245</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">SoftmaxDescriptor</a>& descriptor,</div>
<div class="line"><a name="l01246"></a><span class="lineno"> 1246</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</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>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</div>
<div class="line"><a name="l01249"></a><span class="lineno"> 1249</span>  </div>
<div class="line"><a name="l01250"></a><span class="lineno"> 1250</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">LayerType::Softmax</a>,</div>
<div class="line"><a name="l01251"></a><span class="lineno"> 1251</span>  infos,</div>
<div class="line"><a name="l01252"></a><span class="lineno"> 1252</span>  descriptor,</div>
<div class="line"><a name="l01253"></a><span class="lineno"> 1253</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01254"></a><span class="lineno"> 1254</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01255"></a><span class="lineno"> 1255</span>  reasonIfUnsupported);</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>  </div>
<div class="line"><a name="l01258"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a8e2dbea6818f145899ffbd0bbad9416b"> 1258</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a8e2dbea6818f145899ffbd0bbad9416b">LayerSupportHandle::IsSpaceToBatchNdSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l01259"></a><span class="lineno"> 1259</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l01260"></a><span class="lineno"> 1260</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml">SpaceToBatchNdDescriptor</a>& descriptor,</div>
<div class="line"><a name="l01261"></a><span class="lineno"> 1261</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</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>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</div>
<div class="line"><a name="l01264"></a><span class="lineno"> 1264</span>  </div>
<div class="line"><a name="l01265"></a><span class="lineno"> 1265</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279">LayerType::SpaceToBatchNd</a>,</div>
<div class="line"><a name="l01266"></a><span class="lineno"> 1266</span>  infos,</div>
<div class="line"><a name="l01267"></a><span class="lineno"> 1267</span>  descriptor,</div>
<div class="line"><a name="l01268"></a><span class="lineno"> 1268</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01269"></a><span class="lineno"> 1269</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01270"></a><span class="lineno"> 1270</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l01271"></a><span class="lineno"> 1271</span> }</div>
<div class="line"><a name="l01272"></a><span class="lineno"> 1272</span>  </div>
<div class="line"><a name="l01273"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a11cc006e8d09651811d483baf965572d"> 1273</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a11cc006e8d09651811d483baf965572d">LayerSupportHandle::IsSpaceToDepthSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l01274"></a><span class="lineno"> 1274</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l01275"></a><span class="lineno"> 1275</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">SpaceToDepthDescriptor</a>& descriptor,</div>
<div class="line"><a name="l01276"></a><span class="lineno"> 1276</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l01277"></a><span class="lineno"> 1277</span> {</div>
<div class="line"><a name="l01278"></a><span class="lineno"> 1278</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</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>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a">LayerType::SpaceToDepth</a>,</div>
<div class="line"><a name="l01281"></a><span class="lineno"> 1281</span>  infos,</div>
<div class="line"><a name="l01282"></a><span class="lineno"> 1282</span>  descriptor,</div>
<div class="line"><a name="l01283"></a><span class="lineno"> 1283</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01284"></a><span class="lineno"> 1284</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01285"></a><span class="lineno"> 1285</span>  reasonIfUnsupported);</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>  </div>
<div class="line"><a name="l01288"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a6b93f36d8107b656ee5d218bbf135526"> 1288</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a6b93f36d8107b656ee5d218bbf135526">LayerSupportHandle::IsSplitterSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l01289"></a><span class="lineno"> 1289</span>  <span class="keyword">const</span> std::vector<std::reference_wrapper<TensorInfo>>& outputs,</div>
<div class="line"><a name="l01290"></a><span class="lineno"> 1290</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>& descriptor,</div>
<div class="line"><a name="l01291"></a><span class="lineno"> 1291</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l01292"></a><span class="lineno"> 1292</span> {</div>
<div class="line"><a name="l01293"></a><span class="lineno"> 1293</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input};</div>
<div class="line"><a name="l01294"></a><span class="lineno"> 1294</span>  <span class="keywordflow">for</span> (<a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> outInfo : outputs)</div>
<div class="line"><a name="l01295"></a><span class="lineno"> 1295</span>  {</div>
<div class="line"><a name="l01296"></a><span class="lineno"> 1296</span>  infos.push_back(outInfo);</div>
<div class="line"><a name="l01297"></a><span class="lineno"> 1297</span>  }</div>
<div class="line"><a name="l01298"></a><span class="lineno"> 1298</span>  </div>
<div class="line"><a name="l01299"></a><span class="lineno"> 1299</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf">LayerType::Splitter</a>,</div>
<div class="line"><a name="l01300"></a><span class="lineno"> 1300</span>  infos,</div>
<div class="line"><a name="l01301"></a><span class="lineno"> 1301</span>  descriptor,</div>
<div class="line"><a name="l01302"></a><span class="lineno"> 1302</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01303"></a><span class="lineno"> 1303</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01304"></a><span class="lineno"> 1304</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l01305"></a><span class="lineno"> 1305</span> }</div>
<div class="line"><a name="l01306"></a><span class="lineno"> 1306</span>  </div>
<div class="line"><a name="l01307"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a539f763ea554e067ef3d5fab0e174614"> 1307</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a539f763ea554e067ef3d5fab0e174614">LayerSupportHandle::IsStackSupported</a>(<span class="keyword">const</span> std::vector<const TensorInfo*>& inputs,</div>
<div class="line"><a name="l01308"></a><span class="lineno"> 1308</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l01309"></a><span class="lineno"> 1309</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stack_descriptor.xhtml">StackDescriptor</a>& descriptor,</div>
<div class="line"><a name="l01310"></a><span class="lineno"> 1310</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</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.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos;</div>
<div class="line"><a name="l01313"></a><span class="lineno"> 1313</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>* inputInfo : inputs)</div>
<div class="line"><a name="l01314"></a><span class="lineno"> 1314</span>  {</div>
<div class="line"><a name="l01315"></a><span class="lineno"> 1315</span>  infos.push_back(*inputInfo);</div>
<div class="line"><a name="l01316"></a><span class="lineno"> 1316</span>  }</div>
<div class="line"><a name="l01317"></a><span class="lineno"> 1317</span>  infos.push_back(output);</div>
<div class="line"><a name="l01318"></a><span class="lineno"> 1318</span>  </div>
<div class="line"><a name="l01319"></a><span class="lineno"> 1319</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca">LayerType::Stack</a>,</div>
<div class="line"><a name="l01320"></a><span class="lineno"> 1320</span>  infos,</div>
<div class="line"><a name="l01321"></a><span class="lineno"> 1321</span>  descriptor,</div>
<div class="line"><a name="l01322"></a><span class="lineno"> 1322</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01323"></a><span class="lineno"> 1323</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01324"></a><span class="lineno"> 1324</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l01325"></a><span class="lineno"> 1325</span> }</div>
<div class="line"><a name="l01326"></a><span class="lineno"> 1326</span>  </div>
<div class="line"><a name="l01327"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a06bfadb5ec12fb337ce0aa77f7969bf9"> 1327</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a06bfadb5ec12fb337ce0aa77f7969bf9">LayerSupportHandle::IsStandInSupported</a>(<span class="keyword">const</span> std::vector<const TensorInfo*>& inputs,</div>
<div class="line"><a name="l01328"></a><span class="lineno"> 1328</span>  <span class="keyword">const</span> std::vector<const TensorInfo*>& outputs,</div>
<div class="line"><a name="l01329"></a><span class="lineno"> 1329</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml">StandInDescriptor</a>& descriptor,</div>
<div class="line"><a name="l01330"></a><span class="lineno"> 1330</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l01331"></a><span class="lineno"> 1331</span> {</div>
<div class="line"><a name="l01332"></a><span class="lineno"> 1332</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos;</div>
<div class="line"><a name="l01333"></a><span class="lineno"> 1333</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>* inputInfo : inputs)</div>
<div class="line"><a name="l01334"></a><span class="lineno"> 1334</span>  {</div>
<div class="line"><a name="l01335"></a><span class="lineno"> 1335</span>  infos.push_back(*inputInfo);</div>
<div class="line"><a name="l01336"></a><span class="lineno"> 1336</span>  }</div>
<div class="line"><a name="l01337"></a><span class="lineno"> 1337</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>* outputInfo : outputs)</div>
<div class="line"><a name="l01338"></a><span class="lineno"> 1338</span>  {</div>
<div class="line"><a name="l01339"></a><span class="lineno"> 1339</span>  infos.push_back(*outputInfo);</div>
<div class="line"><a name="l01340"></a><span class="lineno"> 1340</span>  }</div>
<div class="line"><a name="l01341"></a><span class="lineno"> 1341</span>  </div>
<div class="line"><a name="l01342"></a><span class="lineno"> 1342</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a93bca63ecbb003649425dd0e4ba79a99">LayerType::StandIn</a>,</div>
<div class="line"><a name="l01343"></a><span class="lineno"> 1343</span>  infos,</div>
<div class="line"><a name="l01344"></a><span class="lineno"> 1344</span>  descriptor,</div>
<div class="line"><a name="l01345"></a><span class="lineno"> 1345</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01346"></a><span class="lineno"> 1346</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01347"></a><span class="lineno"> 1347</span>  reasonIfUnsupported);</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>  </div>
<div class="line"><a name="l01350"></a><span class="lineno"> 1350</span>  </div>
<div class="line"><a name="l01351"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a68ea49b6b6765182e7444c80b26dfad0"> 1351</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a68ea49b6b6765182e7444c80b26dfad0">LayerSupportHandle::IsStridedSliceSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l01352"></a><span class="lineno"> 1352</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l01353"></a><span class="lineno"> 1353</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml">StridedSliceDescriptor</a>& descriptor,</div>
<div class="line"><a name="l01354"></a><span class="lineno"> 1354</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l01355"></a><span class="lineno"> 1355</span> {</div>
<div class="line"><a name="l01356"></a><span class="lineno"> 1356</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</div>
<div class="line"><a name="l01357"></a><span class="lineno"> 1357</span>  </div>
<div class="line"><a name="l01358"></a><span class="lineno"> 1358</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d">LayerType::StridedSlice</a>,</div>
<div class="line"><a name="l01359"></a><span class="lineno"> 1359</span>  infos,</div>
<div class="line"><a name="l01360"></a><span class="lineno"> 1360</span>  descriptor,</div>
<div class="line"><a name="l01361"></a><span class="lineno"> 1361</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01362"></a><span class="lineno"> 1362</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01363"></a><span class="lineno"> 1363</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l01364"></a><span class="lineno"> 1364</span> }</div>
<div class="line"><a name="l01365"></a><span class="lineno"> 1365</span>  </div>
<div class="line"><a name="l01366"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#afdcb4b8205b86fc16e74b357c4e06005"> 1366</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#afdcb4b8205b86fc16e74b357c4e06005">LayerSupportHandle::IsSubtractionSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div>
<div class="line"><a name="l01367"></a><span class="lineno"> 1367</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div>
<div class="line"><a name="l01368"></a><span class="lineno"> 1368</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l01369"></a><span class="lineno"> 1369</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l01370"></a><span class="lineno"> 1370</span> {</div>
<div class="line"><a name="l01371"></a><span class="lineno"> 1371</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input0, input1, output};</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="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">LayerType::Subtraction</a>,</div>
<div class="line"><a name="l01374"></a><span class="lineno"> 1374</span>  infos,</div>
<div class="line"><a name="l01375"></a><span class="lineno"> 1375</span>  <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a>(),</div>
<div class="line"><a name="l01376"></a><span class="lineno"> 1376</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01377"></a><span class="lineno"> 1377</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01378"></a><span class="lineno"> 1378</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l01379"></a><span class="lineno"> 1379</span> }</div>
<div class="line"><a name="l01380"></a><span class="lineno"> 1380</span>  </div>
<div class="line"><a name="l01381"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#ab834a38c8b6a52e539b06dcca92e4e15"> 1381</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#ab834a38c8b6a52e539b06dcca92e4e15">LayerSupportHandle::IsSwitchSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div>
<div class="line"><a name="l01382"></a><span class="lineno"> 1382</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div>
<div class="line"><a name="l01383"></a><span class="lineno"> 1383</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output0,</div>
<div class="line"><a name="l01384"></a><span class="lineno"> 1384</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output1,</div>
<div class="line"><a name="l01385"></a><span class="lineno"> 1385</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l01386"></a><span class="lineno"> 1386</span> {</div>
<div class="line"><a name="l01387"></a><span class="lineno"> 1387</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input0, input1, output0, output1};</div>
<div class="line"><a name="l01388"></a><span class="lineno"> 1388</span>  </div>
<div class="line"><a name="l01389"></a><span class="lineno"> 1389</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4abbc155fb2b111bf61c4f5ff892915e6b">LayerType::Switch</a>,</div>
<div class="line"><a name="l01390"></a><span class="lineno"> 1390</span>  infos,</div>
<div class="line"><a name="l01391"></a><span class="lineno"> 1391</span>  <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a>(),</div>
<div class="line"><a name="l01392"></a><span class="lineno"> 1392</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01393"></a><span class="lineno"> 1393</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01394"></a><span class="lineno"> 1394</span>  reasonIfUnsupported);</div>
<div class="line"><a name="l01395"></a><span class="lineno"> 1395</span> }</div>
<div class="line"><a name="l01396"></a><span class="lineno"> 1396</span>  </div>
<div class="line"><a name="l01397"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a8e707c1f8d5b962e1ffcc633bd584852"> 1397</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a8e707c1f8d5b962e1ffcc633bd584852">LayerSupportHandle::IsTransposeConvolution2dSupported</a>(</div>
<div class="line"><a name="l01398"></a><span class="lineno"> 1398</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l01399"></a><span class="lineno"> 1399</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l01400"></a><span class="lineno"> 1400</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml">TransposeConvolution2dDescriptor</a>& descriptor,</div>
<div class="line"><a name="l01401"></a><span class="lineno"> 1401</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& weights,</div>
<div class="line"><a name="l01402"></a><span class="lineno"> 1402</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<TensorInfo></a>& biases,</div>
<div class="line"><a name="l01403"></a><span class="lineno"> 1403</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l01404"></a><span class="lineno"> 1404</span> {</div>
<div class="line"><a name="l01405"></a><span class="lineno"> 1405</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> biasesVal = biases.<a class="code" href="classarmnn_1_1_optional_base.xhtml#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>() ? biases.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>() : <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>();</div>
<div class="line"><a name="l01406"></a><span class="lineno"> 1406</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output, weights, biasesVal};</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>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">LayerType::TransposeConvolution2d</a>,</div>
<div class="line"><a name="l01409"></a><span class="lineno"> 1409</span>  infos,</div>
<div class="line"><a name="l01410"></a><span class="lineno"> 1410</span>  descriptor,</div>
<div class="line"><a name="l01411"></a><span class="lineno"> 1411</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01412"></a><span class="lineno"> 1412</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01413"></a><span class="lineno"> 1413</span>  reasonIfUnsupported);</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"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a7a251af153dad9a73c91b5e8ee5a4206"> 1416</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a7a251af153dad9a73c91b5e8ee5a4206">LayerSupportHandle::IsTransposeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l01417"></a><span class="lineno"> 1417</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l01418"></a><span class="lineno"> 1418</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_descriptor.xhtml">TransposeDescriptor</a>& descriptor,</div>
<div class="line"><a name="l01419"></a><span class="lineno"> 1419</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l01420"></a><span class="lineno"> 1420</span> {</div>
<div class="line"><a name="l01421"></a><span class="lineno"> 1421</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, output};</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="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">LayerType::Transpose</a>,</div>
<div class="line"><a name="l01424"></a><span class="lineno"> 1424</span>  infos,</div>
<div class="line"><a name="l01425"></a><span class="lineno"> 1425</span>  descriptor,</div>
<div class="line"><a name="l01426"></a><span class="lineno"> 1426</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01427"></a><span class="lineno"> 1427</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01428"></a><span class="lineno"> 1428</span>  reasonIfUnsupported);</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"><a class="line" href="classarmnn_1_1_layer_support_handle.xhtml#a211d54f7f551a5943718dfd1c7cc82b6"> 1431</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer_support_handle.xhtml#a211d54f7f551a5943718dfd1c7cc82b6">LayerSupportHandle::IsUnidirectionalSequenceLstmSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div>
<div class="line"><a name="l01432"></a><span class="lineno"> 1432</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& outputStateIn,</div>
<div class="line"><a name="l01433"></a><span class="lineno"> 1433</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& cellStateIn,</div>
<div class="line"><a name="l01434"></a><span class="lineno"> 1434</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& outputStateOut,</div>
<div class="line"><a name="l01435"></a><span class="lineno"> 1435</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& cellStateOut,</div>
<div class="line"><a name="l01436"></a><span class="lineno"> 1436</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div>
<div class="line"><a name="l01437"></a><span class="lineno"> 1437</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml">LstmDescriptor</a>& descriptor,</div>
<div class="line"><a name="l01438"></a><span class="lineno"> 1438</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml">LstmInputParamsInfo</a>& paramsInfo,</div>
<div class="line"><a name="l01439"></a><span class="lineno"> 1439</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)</div>
<div class="line"><a name="l01440"></a><span class="lineno"> 1440</span> {</div>
<div class="line"><a name="l01441"></a><span class="lineno"> 1441</span>  <a class="code" href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">TensorInfos</a> infos{input, outputStateIn, cellStateIn, outputStateOut, cellStateOut, output};</div>
<div class="line"><a name="l01442"></a><span class="lineno"> 1442</span>  </div>
<div class="line"><a name="l01443"></a><span class="lineno"> 1443</span>  <span class="keywordflow">return</span> m_LayerSupport->IsLayerSupported(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5">LayerType::UnidirectionalSequenceLstm</a>,</div>
<div class="line"><a name="l01444"></a><span class="lineno"> 1444</span>  infos,</div>
<div class="line"><a name="l01445"></a><span class="lineno"> 1445</span>  descriptor,</div>
<div class="line"><a name="l01446"></a><span class="lineno"> 1446</span>  paramsInfo,</div>
<div class="line"><a name="l01447"></a><span class="lineno"> 1447</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>(),</div>
<div class="line"><a name="l01448"></a><span class="lineno"> 1448</span>  reasonIfUnsupported);</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><!-- fragment --></div><!-- contents -->
</div><!-- doc-content -->
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4af3f6d0343d56ce88ce7958170ed05cb3"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af3f6d0343d56ce88ce7958170ed05cb3">armnn::LayerType::Floor</a></div><div class="ttdeci">@ Floor</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">armnn::LayerType::MemCopy</a></div><div class="ttdeci">@ MemCopy</div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a7a251af153dad9a73c91b5e8ee5a4206"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a7a251af153dad9a73c91b5e8ee5a4206">armnn::LayerSupportHandle::IsTransposeSupported</a></div><div class="ttdeci">bool IsTransposeSupported(const TensorInfo &input, const TensorInfo &output, const TransposeDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l01416">BackendHelper.cpp:1416</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_backend_id_xhtml"><div class="ttname"><a href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_id_8hpp_source.xhtml#l00075">BackendId.hpp:75</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">armnn::LayerType::Softmax</a></div><div class="ttdeci">@ Softmax</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c">armnn::LayerType::Pooling3d</a></div><div class="ttdeci">@ Pooling3d</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::LayerType::FullyConnected</a></div><div class="ttdeci">@ FullyConnected</div></div>
<div class="ttc" id="astructarmnn_1_1_backend_options_1_1_backend_option_xhtml_a9dd404db54065d13616225910db3dec4"><div class="ttname"><a href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml#a9dd404db54065d13616225910db3dec4">armnn::BackendOptions::BackendOption::GetValue</a></div><div class="ttdeci">Var GetValue() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00252">BackendOptions.hpp:252</a></div></div>
<div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_xhtml_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">armnn::Convolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00570">Descriptors.hpp:570</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">armnn::LayerType::Transpose</a></div><div class="ttdeci">@ Transpose</div></div>
<div class="ttc" id="a_lstm_params_8hpp_xhtml"><div class="ttname"><a href="_lstm_params_8hpp.xhtml">LstmParams.hpp</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_ac2807505b850738bc8a1991ce669dd47"><div class="ttname"><a href="namespacearmnn.xhtml#ac2807505b850738bc8a1991ce669dd47">armnn::BackendRegistryInstance</a></div><div class="ttdeci">BackendRegistry & BackendRegistryInstance()</div><div class="ttdef"><b>Definition:</b> <a href="_backend_registry_8cpp_source.xhtml#l00015">BackendRegistry.cpp:15</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.xhtml">armnn::LstmInputParamsInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00063">LstmParams.hpp:63</a></div></div>
<div class="ttc" id="astructarmnn_1_1_backend_options_xhtml_aac6574986901c29b5e0b81083c13502f"><div class="ttname"><a href="structarmnn_1_1_backend_options.xhtml#aac6574986901c29b5e0b81083c13502f">armnn::BackendOptions::GetOptionCount</a></div><div class="ttdeci">size_t GetOptionCount() const noexcept</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00284">BackendOptions.hpp:284</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a0ca5f33c1d35fd4105d3a26a2823f9dd">armnn::LayerType::ChannelShuffle</a></div><div class="ttdeci">@ ChannelShuffle</div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_ad43a5771d0a7c807d847f102d958bd7e"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#ad43a5771d0a7c807d847f102d958bd7e">armnn::LayerSupportHandle::IsShapeSupported</a></div><div class="ttdeci">bool IsShapeSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l01214">BackendHelper.cpp:1214</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a1c15b1a6fe9a0ad5fc3bec97ad7be376"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a1c15b1a6fe9a0ad5fc3bec97ad7be376">armnn::LayerSupportHandle::IsLogicalUnarySupported</a></div><div class="ttdeci">bool IsLogicalUnarySupported(const TensorInfo &input, const TensorInfo &output, const ElementwiseUnaryDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00832">BackendHelper.cpp:832</a></div></div>
<div class="ttc" id="astructarmnn_1_1_fully_connected_descriptor_xhtml_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">armnn::FullyConnectedDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00514">Descriptors.hpp:514</a></div></div>
<div class="ttc" id="a_quantized_lstm_params_8hpp_xhtml"><div class="ttname"><a href="_quantized_lstm_params_8hpp.xhtml">QuantizedLstmParams.hpp</a></div></div>
<div class="ttc" id="astructarmnn_1_1_gather_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_gather_descriptor.xhtml">armnn::GatherDescriptor</a></div><div class="ttdoc">A GatherDescriptor for the GatherLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00932">Descriptors.hpp:932</a></div></div>
<div class="ttc" id="astructarmnn_1_1_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml">armnn::NormalizationDescriptor</a></div><div class="ttdoc">A NormalizationDescriptor for the NormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00757">Descriptors.hpp:757</a></div></div>
<div class="ttc" id="astructarmnn_1_1_transpose_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.xhtml">armnn::TransposeDescriptor</a></div><div class="ttdoc">A TransposeDescriptor for the TransposeLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01457">Descriptors.hpp:1457</a></div></div>
<div class="ttc" id="a_i_layer_support_8hpp_xhtml"><div class="ttname"><a href="_i_layer_support_8hpp.xhtml">ILayerSupport.hpp</a></div></div>
<div class="ttc" id="a_i_backend_internal_8hpp_xhtml"><div class="ttname"><a href="_i_backend_internal_8hpp.xhtml">IBackendInternal.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a68ea49b6b6765182e7444c80b26dfad0"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a68ea49b6b6765182e7444c80b26dfad0">armnn::LayerSupportHandle::IsStridedSliceSupported</a></div><div class="ttdeci">bool IsStridedSliceSupported(const TensorInfo &input, const TensorInfo &output, const StridedSliceDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l01351">BackendHelper.cpp:1351</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_abe180ec59b242ebcab0d4d6fa76d8a5b"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#abe180ec59b242ebcab0d4d6fa76d8a5b">armnn::LayerSupportHandle::IsReshapeSupported</a></div><div class="ttdeci">bool IsReshapeSupported(const TensorInfo &input, const TensorInfo &output, const ReshapeDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l01184">BackendHelper.cpp:1184</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a492131f8af5a6b908d8b5b8758173741"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a492131f8af5a6b908d8b5b8758173741">armnn::LayerSupportHandle::IsConvolution2dSupported</a></div><div class="ttdeci">bool IsConvolution2dSupported(const TensorInfo &input, const TensorInfo &output, const Convolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00345">BackendHelper.cpp:345</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_aea9e3ad6c4591f4bb5288e4ff83cd35f"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#aea9e3ad6c4591f4bb5288e4ff83cd35f">armnn::LayerSupportHandle::IsBatchNormalizationSupported</a></div><div class="ttdeci">bool IsBatchNormalizationSupported(const TensorInfo &input, const TensorInfo &output, const TensorInfo &mean, const TensorInfo &var, const TensorInfo &beta, const TensorInfo &gamma, const BatchNormalizationDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00205">BackendHelper.cpp:205</a></div></div>
<div class="ttc" id="astructarmnn_1_1_elementwise_unary_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">armnn::ElementwiseUnaryDescriptor</a></div><div class="ttdoc">A ElementwiseUnaryDescriptor for the ElementwiseUnaryLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00129">Descriptors.hpp:129</a></div></div>
<div class="ttc" id="astructarmnn_1_1_pad_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml">armnn::PadDescriptor</a></div><div class="ttdoc">A PadDescriptor for the PadLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01163">Descriptors.hpp:1163</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_ab834a38c8b6a52e539b06dcca92e4e15"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#ab834a38c8b6a52e539b06dcca92e4e15">armnn::LayerSupportHandle::IsSwitchSupported</a></div><div class="ttdeci">bool IsSwitchSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output0, const TensorInfo &output1, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l01381">BackendHelper.cpp:1381</a></div></div>
<div class="ttc" id="astructarmnn_1_1_softmax_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.xhtml">armnn::SoftmaxDescriptor</a></div><div class="ttdoc">A SoftmaxDescriptor for the SoftmaxLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00177">Descriptors.hpp:177</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">armnn::LayerType::ConvertFp32ToFp16</a></div><div class="ttdeci">@ ConvertFp32ToFp16</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">armnn::LayerType::L2Normalization</a></div><div class="ttdeci">@ L2Normalization</div></div>
<div class="ttc" id="astructarmnn_1_1_stack_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.xhtml">armnn::StackDescriptor</a></div><div class="ttdoc">A StackDescriptor for the StackLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01218">Descriptors.hpp:1218</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a35e39e6ee9f01ac026213845c74d9c73"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a35e39e6ee9f01ac026213845c74d9c73">armnn::LayerSupportHandle::IsOutputSupported</a></div><div class="ttdeci">bool IsOutputSupported(const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l01001">BackendHelper.cpp:1001</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">armnn::LayerType::TransposeConvolution2d</a></div><div class="ttdeci">@ TransposeConvolution2d</div></div>
<div class="ttc" id="astructarmnn_1_1_slice_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.xhtml">armnn::SliceDescriptor</a></div><div class="ttdoc">A SliceDescriptor for the SliceLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01195">Descriptors.hpp:1195</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a13ea2c461ec421c0ce6eb1be1d540fb4"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a13ea2c461ec421c0ce6eb1be1d540fb4">armnn::LayerSupportHandle::IsGatherNdSupported</a></div><div class="ttdeci">bool IsGatherNdSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00757">BackendHelper.cpp:757</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a11cc006e8d09651811d483baf965572d"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a11cc006e8d09651811d483baf965572d">armnn::LayerSupportHandle::IsSpaceToDepthSupported</a></div><div class="ttdeci">bool IsSpaceToDepthSupported(const TensorInfo &input, const TensorInfo &output, const SpaceToDepthDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l01273">BackendHelper.cpp:1273</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a62faa7aebcc7e89e43b1e3311b6d5a6f"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a62faa7aebcc7e89e43b1e3311b6d5a6f">armnn::LayerSupportHandle::IsConvolution3dSupported</a></div><div class="ttdeci">bool IsConvolution3dSupported(const TensorInfo &input, const TensorInfo &output, const Convolution3dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00399">BackendHelper.cpp:399</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a></div><div class="ttdeci">@ Input</div></div>
<div class="ttc" id="aclassarmnn_1_1_backend_options_1_1_var_xhtml_aba7f9d096eda6d34bc0c668ee44dd665"><div class="ttname"><a href="classarmnn_1_1_backend_options_1_1_var.xhtml#aba7f9d096eda6d34bc0c668ee44dd665">armnn::BackendOptions::Var::IsInt</a></div><div class="ttdeci">bool IsInt() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00113">BackendOptions.hpp:113</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad140d37ad98c12ccd8e1c432f548bcdb">armnn::LayerType::Slice</a></div><div class="ttdeci">@ Slice</div></div>
<div class="ttc" id="astructarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00036">Descriptors.hpp:36</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a25f39ae864922988e81774018f83184e"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a25f39ae864922988e81774018f83184e">armnn::LayerSupportHandle::IsFakeQuantizationSupported</a></div><div class="ttdeci">bool IsFakeQuantizationSupported(const TensorInfo &input, const FakeQuantizationDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00634">BackendHelper.cpp:634</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml">armnn::LstmDescriptor</a></div><div class="ttdoc">An LstmDescriptor for the LstmLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01069">Descriptors.hpp:1069</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_ae9a4633ba37ffaa4af8eb73bc2ce0286"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#ae9a4633ba37ffaa4af8eb73bc2ce0286">armnn::LayerSupportHandle::IsDepthwiseConvolutionSupported</a></div><div class="ttdeci">bool IsDepthwiseConvolutionSupported(const TensorInfo &input, const TensorInfo &output, const DepthwiseConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00446">BackendHelper.cpp:446</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">armnn::LayerType::ElementwiseBinary</a></div><div class="ttdeci">@ ElementwiseBinary</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a8321e79c278ec510f63675c040594892">armnn::LayerType::Maximum</a></div><div class="ttdeci">@ Maximum</div></div>
<div class="ttc" id="astructarmnn_1_1_fully_connected_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.xhtml">armnn::FullyConnectedDescriptor</a></div><div class="ttdoc">A FullyConnectedDescriptor for the FullyConnectedLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00495">Descriptors.hpp:495</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">armnn::LayerType::Quantize</a></div><div class="ttdeci">@ Quantize</div></div>
<div class="ttc" id="aclassarmnn_1_1_backend_options_1_1_var_xhtml_a5e3562cda960da001597e7dd5679b140"><div class="ttname"><a href="classarmnn_1_1_backend_options_1_1_var.xhtml#a5e3562cda960da001597e7dd5679b140">armnn::BackendOptions::Var::AsString</a></div><div class="ttdeci">std::string AsString() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00123">BackendOptions.hpp:123</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_backend_registry_xhtml_afc0c63ca8db8957b58826f6d7bd231b2"><div class="ttname"><a href="classarmnn_1_1_backend_registry.xhtml#afc0c63ca8db8957b58826f6d7bd231b2">armnn::BackendRegistry::GetFactory</a></div><div class="ttdeci">FactoryFunction GetFactory(const BackendId &id) const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_registry_8cpp_source.xhtml#l00057">BackendRegistry.cpp:57</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_abe8e1064e0eedc0ba00d547f10fa1f3a"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#abe8e1064e0eedc0ba00d547f10fa1f3a">armnn::LayerSupportHandle::IsPooling3dSupported</a></div><div class="ttdeci">bool IsPooling3dSupported(const TensorInfo &input, const TensorInfo &output, const Pooling3dDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l01059">BackendHelper.cpp:1059</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a377fd57c904ad7550bbc3a9132c22ebd"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a377fd57c904ad7550bbc3a9132c22ebd">armnn::LayerSupportHandle::IsNormalizationSupported</a></div><div class="ttdeci">bool IsNormalizationSupported(const TensorInfo &input, const TensorInfo &output, const NormalizationDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00986">BackendHelper.cpp:986</a></div></div>
<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">armnn::BatchMatMulDescriptor</a></div><div class="ttdoc">A BatchMatMulDescriptor for the BatchMatMul operator.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01551">Descriptors.hpp:1551</a></div></div>
<div class="ttc" id="a_backend_helper_8hpp_xhtml"><div class="ttname"><a href="_backend_helper_8hpp.xhtml">BackendHelper.hpp</a></div></div>
<div class="ttc" id="astructarmnn_1_1_resize_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml">armnn::ResizeDescriptor</a></div><div class="ttdoc">A ResizeDescriptor for the ResizeLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00952">Descriptors.hpp:952</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2139684546b147c106b329f41547640c">armnn::LayerType::ArgMinMax</a></div><div class="ttdeci">@ ArgMinMax</div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_aa2fcc1b20eb337a8f3e4da866d13fdf6"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#aa2fcc1b20eb337a8f3e4da866d13fdf6">armnn::LayerSupportHandle::IsConvertFp16ToFp32Supported</a></div><div class="ttdeci">bool IsConvertFp16ToFp32Supported(const TensorInfo &input, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00317">BackendHelper.cpp:317</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a14351d5b82d15aba03b8bd6891812116"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a14351d5b82d15aba03b8bd6891812116">armnn::LayerSupportHandle::IsPermuteSupported</a></div><div class="ttdeci">bool IsPermuteSupported(const TensorInfo &input, const TensorInfo &output, const PermuteDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l01029">BackendHelper.cpp:1029</a></div></div>
<div class="ttc" id="astructarmnn_1_1_fully_connected_descriptor_xhtml_a2d3dcfc10f90adedc995b64211dab6e9"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.xhtml#a2d3dcfc10f90adedc995b64211dab6e9">armnn::FullyConnectedDescriptor::m_ConstantWeights</a></div><div class="ttdeci">bool m_ConstantWeights</div><div class="ttdoc">Enable/disable constant weights and biases.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00518">Descriptors.hpp:518</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a71c3bdadfe1c69aba2cbf054bff47744"><div class="ttname"><a href="namespacearmnn.xhtml#a71c3bdadfe1c69aba2cbf054bff47744">armnn::GetCapability</a></div><div class="ttdeci">Optional< const BackendOptions::BackendOption > GetCapability(const std::string &backendCapabilityName, const BackendCapabilities &capabilities)</div><div class="ttdoc">Returns a BackendCapability if the backend lists the capability The BackendCapability must then be in...</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00037">BackendHelper.cpp:37</a></div></div>
<div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml">armnn::StridedSliceDescriptor</a></div><div class="ttdoc">A StridedSliceDescriptor for the StridedSliceLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01270">Descriptors.hpp:1270</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::LayerType::Subtraction</a></div><div class="ttdeci">@ Subtraction</div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_ae4e2808ae00d3b75cf74959931d80d32"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#ae4e2808ae00d3b75cf74959931d80d32">armnn::LayerSupportHandle::IsDebugSupported</a></div><div class="ttdeci">bool IsDebugSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00417">BackendHelper.cpp:417</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a61938d90f2190e9a434548adbd9bde16"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a61938d90f2190e9a434548adbd9bde16">armnn::LayerSupportHandle::IsPadSupported</a></div><div class="ttdeci">bool IsPadSupported(const TensorInfo &input, const TensorInfo &output, const PadDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l01014">BackendHelper.cpp:1014</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279">armnn::LayerType::SpaceToBatchNd</a></div><div class="ttdeci">@ SpaceToBatchNd</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::LayerType::Convolution2d</a></div><div class="ttdeci">@ Convolution2d</div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_acdc0add206b2be4aa1f3cc06990e8902"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#acdc0add206b2be4aa1f3cc06990e8902">armnn::LayerSupportHandle::IsMeanSupported</a></div><div class="ttdeci">bool IsMeanSupported(const TensorInfo &input, const TensorInfo &output, const MeanDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00898">BackendHelper.cpp:898</a></div></div>
<div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.xhtml">armnn::Pooling3dDescriptor</a></div><div class="ttdoc">A Pooling3dDescriptor for the Pooling3dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00419">Descriptors.hpp:419</a></div></div>
<div class="ttc" id="astructarmnn_1_1_reduce_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.xhtml">armnn::ReduceDescriptor</a></div><div class="ttdoc">A ReduceDescriptor for the REDUCE operators.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01505">Descriptors.hpp:1505</a></div></div>
<div class="ttc" id="astructarmnn_1_1_backend_options_xhtml"><div class="ttname"><a href="structarmnn_1_1_backend_options.xhtml">armnn::BackendOptions</a></div><div class="ttdoc">Struct for the users to pass backend specific options.</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00022">BackendOptions.hpp:22</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_aa873260ae605212ed99da7783a9dc9c1"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#aa873260ae605212ed99da7783a9dc9c1">armnn::LayerSupportHandle::IsL2NormalizationSupported</a></div><div class="ttdeci">bool IsL2NormalizationSupported(const TensorInfo &input, const TensorInfo &output, const L2NormalizationDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00801">BackendHelper.cpp:801</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a880c1273b27d27cfc82004c3a4b205c9"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a880c1273b27d27cfc82004c3a4b205c9">armnn::LayerType::Shape</a></div><div class="ttdeci">@ Shape</div></div>
<div class="ttc" id="astructarmnn_1_1_comparison_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_comparison_descriptor.xhtml">armnn::ComparisonDescriptor</a></div><div class="ttdoc">A ComparisonDescriptor for the ComparisonLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00089">Descriptors.hpp:89</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a670680b77e9a5f921d7d3e82971f1c50"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a670680b77e9a5f921d7d3e82971f1c50">armnn::LayerSupportHandle::IsPreCompiledSupported</a></div><div class="ttdeci">bool IsPreCompiledSupported(const TensorInfo &input, const PreCompiledDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l01074">BackendHelper.cpp:1074</a></div></div>
<div class="ttc" id="astructarmnn_1_1_stand_in_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_stand_in_descriptor.xhtml">armnn::StandInDescriptor</a></div><div class="ttdoc">A StandInDescriptor for the StandIn layer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01248">Descriptors.hpp:1248</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00">armnn::LayerType::Merge</a></div><div class="ttdeci">@ Merge</div></div>
<div class="ttc" id="astructarmnn_1_1_views_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml">armnn::ViewsDescriptor</a></div><div class="ttdoc">A ViewsDescriptor for the SplitterLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00244">Descriptors.hpp:244</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">armnn::LayerType::Permute</a></div><div class="ttdeci">@ Permute</div></div>
<div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">armnn::DepthwiseConvolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00696">Descriptors.hpp:696</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">armnn::LayerType::ConvertFp16ToFp32</a></div><div class="ttdeci">@ ConvertFp16ToFp32</div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_add5a8f2717325875648d328a3600b929"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#add5a8f2717325875648d328a3600b929">armnn::LayerSupportHandle::IsMultiplicationSupported</a></div><div class="ttdeci">bool IsMultiplicationSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00971">BackendHelper.cpp:971</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_backend_options_1_1_var_xhtml_aec3bdef27fa2d4de29db82d2334ad2d8"><div class="ttname"><a href="classarmnn_1_1_backend_options_1_1_var.xhtml#aec3bdef27fa2d4de29db82d2334ad2d8">armnn::BackendOptions::Var::IsBool</a></div><div class="ttdeci">bool IsBool() const</div><div class="ttdoc">Type getters.</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00112">BackendOptions.hpp:112</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a91880b71ea6d007439b7bc7c320b5c25">armnn::LayerType::QLstm</a></div><div class="ttdeci">@ QLstm</div></div>
<div class="ttc" id="astructarmnn_1_1_pre_compiled_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pre_compiled_descriptor.xhtml">armnn::PreCompiledDescriptor</a></div><div class="ttdoc">A PreCompiledDescriptor for the PreCompiledLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01334">Descriptors.hpp:1334</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">armnn::LayerType::Pad</a></div><div class="ttdeci">@ Pad</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::LayerType::Addition</a></div><div class="ttdeci">@ Addition</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">armnn::LayerType::QuantizedLstm</a></div><div class="ttdeci">@ QuantizedLstm</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">armnn::LayerType::BatchNormalization</a></div><div class="ttdeci">@ BatchNormalization</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">armnn::LayerType::Reduce</a></div><div class="ttdeci">@ Reduce</div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a9de03af37ec3dbf50b37878f1243cd59"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a9de03af37ec3dbf50b37878f1243cd59">armnn::LayerSupportHandle::IsDetectionPostProcessSupported</a></div><div class="ttdeci">bool IsDetectionPostProcessSupported(const TensorInfo &boxEncodings, const TensorInfo &scores, const TensorInfo &anchors, const TensorInfo &detectionBoxes, const TensorInfo &detectionClasses, const TensorInfo &detectionScores, const TensorInfo &numDetections, const DetectionPostProcessDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00514">BackendHelper.cpp:514</a></div></div>
<div class="ttc" id="a_logging_8hpp_xhtml_a7b6ad073975f437ec38ca7d20154727f"><div class="ttname"><a href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a></div><div class="ttdeci">#define ARMNN_LOG(severity)</div><div class="ttdef"><b>Definition:</b> <a href="_logging_8hpp_source.xhtml#l00212">Logging.hpp:212</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_ae266ee8bf362cbf8a88ab6e6b389791a"><div class="ttname"><a href="namespacearmnn.xhtml#ae266ee8bf362cbf8a88ab6e6b389791a">armnn::GetNumberOfCacheFiles</a></div><div class="ttdeci">unsigned int GetNumberOfCacheFiles(const armnn::BackendId &backend)</div><div class="ttdoc">Returns the number of cached files if backend supports caching.</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00120">BackendHelper.cpp:120</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">armnn::LayerType::Division</a></div><div class="ttdeci">@ Division</div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a95f79bae525468353b390abe94b3c80c"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a95f79bae525468353b390abe94b3c80c">armnn::LayerSupportHandle::IsDilatedDepthwiseConvolutionSupported</a></div><div class="ttdeci">bool IsDilatedDepthwiseConvolutionSupported(const TensorInfo &input, const TensorInfo &output, const DepthwiseConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00534">BackendHelper.cpp:534</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a1091fdebb123263e85d177080b7e0060"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a1091fdebb123263e85d177080b7e0060">armnn::LayerSupportHandle::IsDepthToSpaceSupported</a></div><div class="ttdeci">bool IsDepthToSpaceSupported(const TensorInfo &input, const TensorInfo &output, const DepthToSpaceDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00431">BackendHelper.cpp:431</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_backend_id_xhtml_ae36f5197d26d2e429d9c5fc100c2d500"><div class="ttname"><a href="classarmnn_1_1_backend_id.xhtml#ae36f5197d26d2e429d9c5fc100c2d500">armnn::BackendId::IsUndefined</a></div><div class="ttdeci">bool IsUndefined() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_id_8hpp_source.xhtml#l00141">BackendId.hpp:141</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a8e2dbea6818f145899ffbd0bbad9416b"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a8e2dbea6818f145899ffbd0bbad9416b">armnn::LayerSupportHandle::IsSpaceToBatchNdSupported</a></div><div class="ttdeci">bool IsSpaceToBatchNdSupported(const TensorInfo &input, const TensorInfo &output, const SpaceToBatchNdDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l01258">BackendHelper.cpp:1258</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.xhtml#l00006">01_00_quick_start.dox:6</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_backend_registry_xhtml"><div class="ttname"><a href="classarmnn_1_1_backend_registry.xhtml">armnn::BackendRegistry</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_registry_8hpp_source.xhtml#l00035">BackendRegistry.hpp:35</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba">armnn::LayerType::Debug</a></div><div class="ttdeci">@ Debug</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4">armnn::LayerType::InstanceNormalization</a></div><div class="ttdeci">@ InstanceNormalization</div></div>
<div class="ttc" id="aclassarmnn_1_1_backend_options_1_1_var_xhtml_a7c412f98489e7d252ef40ed053a3908c"><div class="ttname"><a href="classarmnn_1_1_backend_options_1_1_var.xhtml#a7c412f98489e7d252ef40ed053a3908c">armnn::BackendOptions::Var::IsString</a></div><div class="ttdeci">bool IsString() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00116">BackendOptions.hpp:116</a></div></div>
<div class="ttc" id="astructarmnn_1_1_backend_options_1_1_backend_option_xhtml_a9a98946a64f3893b085f650932c9dfee"><div class="ttname"><a href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml#a9a98946a64f3893b085f650932c9dfee">armnn::BackendOptions::BackendOption::GetName</a></div><div class="ttdeci">std::string GetName() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00251">BackendOptions.hpp:251</a></div></div>
<div class="ttc" id="a_backend_id_8hpp_xhtml"><div class="ttname"><a href="_backend_id_8hpp.xhtml">BackendId.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_backend_options_1_1_var_xhtml_a3a298f343faf362973e3a893555c9c61"><div class="ttname"><a href="classarmnn_1_1_backend_options_1_1_var.xhtml#a3a298f343faf362973e3a893555c9c61">armnn::BackendOptions::Var::IsUnsignedInt</a></div><div class="ttdeci">bool IsUnsignedInt() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00114">BackendOptions.hpp:114</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd">armnn::BoostLogSeverityMapping::warning</a></div><div class="ttdeci">@ warning</div></div>
<div class="ttc" id="astructarmnn_1_1_batch_to_space_nd_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml">armnn::BatchToSpaceNdDescriptor</a></div><div class="ttdoc">A BatchToSpaceNdDescriptor for the BatchToSpaceNdLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00863">Descriptors.hpp:863</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optional_reference_switch_xhtml_a77c7d528ac063d870b8c8426ec81c1c3"><div class="ttname"><a href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">armnn::OptionalReferenceSwitch< std::is_reference< T >::value, T >::value</a></div><div class="ttdeci">const T & value() const</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00146">Optional.hpp:146</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_ae17257bab002b8730d4db9d46205984f"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#ae17257bab002b8730d4db9d46205984f">armnn::LayerSupportHandle::IsBatchToSpaceNdSupported</a></div><div class="ttdeci">bool IsBatchToSpaceNdSupported(const TensorInfo &input, const TensorInfo &output, const BatchToSpaceNdDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00224">BackendHelper.cpp:224</a></div></div>
<div class="ttc" id="astructarmnn_1_1_space_to_depth_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.xhtml">armnn::SpaceToDepthDescriptor</a></div><div class="ttdoc">A SpaceToDepthDescriptor for the SpaceToDepthLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01042">Descriptors.hpp:1042</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a96f2cf5602db8514f2cea3867e7ac926"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a96f2cf5602db8514f2cea3867e7ac926">armnn::LayerSupportHandle::IsCastSupported</a></div><div class="ttdeci">bool IsCastSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00239">BackendHelper.cpp:239</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a211d54f7f551a5943718dfd1c7cc82b6"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a211d54f7f551a5943718dfd1c7cc82b6">armnn::LayerSupportHandle::IsUnidirectionalSequenceLstmSupported</a></div><div class="ttdeci">bool IsUnidirectionalSequenceLstmSupported(const TensorInfo &input, const TensorInfo &outputStateIn, const TensorInfo &cellStateIn, const TensorInfo &outputStateOut, const TensorInfo &cellStateOut, const TensorInfo &output, const LstmDescriptor &descriptor, const LstmInputParamsInfo &paramsInfo, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l01431">BackendHelper.cpp:1431</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a347ce0ce0638a48452b7920fde7ddfa8"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a347ce0ce0638a48452b7920fde7ddfa8">armnn::LayerSupportHandle::IsActivationSupported</a></div><div class="ttdeci">bool IsActivationSupported(const TensorInfo &input, const TensorInfo &output, const ActivationDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00144">BackendHelper.cpp:144</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::LayerType::Activation</a></div><div class="ttdeci">@ Activation</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f">armnn::LayerType::Normalization</a></div><div class="ttdeci">@ Normalization</div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a512e9f2a0569448552dada8d0fa56560"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a512e9f2a0569448552dada8d0fa56560">armnn::LayerSupportHandle::IsDivisionSupported</a></div><div class="ttdeci">bool IsDivisionSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00588">BackendHelper.cpp:588</a></div></div>
<div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml">armnn::DetectionPostProcessDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00701">Descriptors.hpp:701</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a42baab5c8ebed94453b04f5003d5b350"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a42baab5c8ebed94453b04f5003d5b350">armnn::LayerSupportHandle::IsPreluSupported</a></div><div class="ttdeci">bool IsPreluSupported(const TensorInfo &input, const TensorInfo &alpha, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l01088">BackendHelper.cpp:1088</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af6c0e3a1c3cfabd32ae8d3ae741fcf0a">armnn::LayerType::Comparison</a></div><div class="ttdeci">@ Comparison</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a2187e1021a911b3807cc1bea2eb1a9ca">armnn::LayerType::Stack</a></div><div class="ttdeci">@ Stack</div></div>
<div class="ttc" id="astructarmnn_1_1_fill_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_fill_descriptor.xhtml">armnn::FillDescriptor</a></div><div class="ttdoc">A FillDescriptor for the FillLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00913">Descriptors.hpp:913</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">armnn::LayerType::Reshape</a></div><div class="ttdeci">@ Reshape</div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_acf1dbab33ad4dfddb5c77d1b5615e0f9"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#acf1dbab33ad4dfddb5c77d1b5615e0f9">armnn::LayerSupportHandle::IsMemCopySupported</a></div><div class="ttdeci">bool IsMemCopySupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00913">BackendHelper.cpp:913</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a06bfadb5ec12fb337ce0aa77f7969bf9"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a06bfadb5ec12fb337ce0aa77f7969bf9">armnn::LayerSupportHandle::IsStandInSupported</a></div><div class="ttdeci">bool IsStandInSupported(const std::vector< const TensorInfo * > &inputs, const std::vector< const TensorInfo * > &outputs, const StandInDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l01327">BackendHelper.cpp:1327</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aad22c799930d644e8468fe44c0312d53">armnn::LayerType::Gather</a></div><div class="ttdeci">@ Gather</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::LayerType::DepthwiseConvolution2d</a></div><div class="ttdeci">@ DepthwiseConvolution2d</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed">armnn::LayerType::Fill</a></div><div class="ttdeci">@ Fill</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9d723d04c40bfd81835c0766a698cf63">armnn::LayerType::Resize</a></div><div class="ttdeci">@ Resize</div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a8e707c1f8d5b962e1ffcc633bd584852"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a8e707c1f8d5b962e1ffcc633bd584852">armnn::LayerSupportHandle::IsTransposeConvolution2dSupported</a></div><div class="ttdeci">bool IsTransposeConvolution2dSupported(const TensorInfo &input, const TensorInfo &output, const TransposeConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l01397">BackendHelper.cpp:1397</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a9ebdb86421ed46f710b5f0be0e6cd65c"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a9ebdb86421ed46f710b5f0be0e6cd65c">armnn::LayerSupportHandle::IsQuantizedLstmSupported</a></div><div class="ttdeci">bool IsQuantizedLstmSupported(const TensorInfo &input, const TensorInfo &previousCellStateIn, const TensorInfo &previousOutputIn, const TensorInfo &cellStateOut, const TensorInfo &output, const QuantizedLstmInputParamsInfo &paramsInfo, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l01137">BackendHelper.cpp:1137</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a5baeb3570280a96f36a31aea428bad93"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a5baeb3570280a96f36a31aea428bad93">armnn::LayerSupportHandle::IsMaximumSupported</a></div><div class="ttdeci">bool IsMaximumSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00883">BackendHelper.cpp:883</a></div></div>
<div class="ttc" id="astructarmnn_1_1_backend_options_xhtml_a6eb7000b48e63e0e05b94dbc36dd6c30"><div class="ttname"><a href="structarmnn_1_1_backend_options.xhtml#a6eb7000b48e63e0e05b94dbc36dd6c30">armnn::BackendOptions::GetOption</a></div><div class="ttdeci">const BackendOption & GetOption(size_t idx) const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00285">BackendOptions.hpp:285</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml_a945263e85c27f3216a8323cfc16d8919"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a945263e85c27f3216a8323cfc16d8919">armnn::TensorInfo::IsConstant</a></div><div class="ttdeci">bool IsConstant() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00509">Tensor.cpp:509</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a021da1b20f73dc252361a54d80497ef3">armnn::LayerType::Rank</a></div><div class="ttdeci">@ Rank</div></div>
<div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">armnn::DepthwiseConvolution2dDescriptor</a></div><div class="ttdoc">A DepthwiseConvolution2dDescriptor for the DepthwiseConvolution2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00647">Descriptors.hpp:647</a></div></div>
<div class="ttc" id="astructarmnn_1_1_mean_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.xhtml">armnn::MeanDescriptor</a></div><div class="ttdoc">A MeanDescriptor for the MeanLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01139">Descriptors.hpp:1139</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a425de524495e5ea749baeb66582f793f"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a425de524495e5ea749baeb66582f793f">armnn::LayerSupportHandle::IsPooling2dSupported</a></div><div class="ttdeci">bool IsPooling2dSupported(const TensorInfo &input, const TensorInfo &output, const Pooling2dDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l01044">BackendHelper.cpp:1044</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af4f53c8297dc1cb53d4e6f8151070a30">armnn::LayerType::LogicalBinary</a></div><div class="ttdeci">@ LogicalBinary</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a300124b2433e0376ec4b19251ac3a9e5">armnn::LayerType::UnidirectionalSequenceLstm</a></div><div class="ttdeci">@ UnidirectionalSequenceLstm</div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_ace8cf49bfbc94c86e5798f012227e97a"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#ace8cf49bfbc94c86e5798f012227e97a">armnn::LayerSupportHandle::IsBatchMatMulSupported</a></div><div class="ttdeci">bool IsBatchMatMulSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const BatchMatMulDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00189">BackendHelper.cpp:189</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a89407076f8400401c82e53ba269c8604"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a89407076f8400401c82e53ba269c8604">armnn::LayerSupportHandle::IsSoftmaxSupported</a></div><div class="ttdeci">bool IsSoftmaxSupported(const TensorInfo &input, const TensorInfo &output, const SoftmaxDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l01243">BackendHelper.cpp:1243</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">armnn::LayerType::Pooling2d</a></div><div class="ttdeci">@ Pooling2d</div></div>
<div class="ttc" id="astructarmnn_1_1_l2_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_descriptor.xhtml">armnn::L2NormalizationDescriptor</a></div><div class="ttdoc">A L2NormalizationDescriptor for the L2NormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00797">Descriptors.hpp:797</a></div></div>
<div class="ttc" id="astructarmnn_1_1_channel_shuffle_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.xhtml">armnn::ChannelShuffleDescriptor</a></div><div class="ttdoc">A ChannelShuffleDescriptor for the ChannelShuffle operator.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01529">Descriptors.hpp:1529</a></div></div>
<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.xhtml">armnn::Convolution3dDescriptor</a></div><div class="ttdoc">A Convolution3dDescriptor for the Convolution3dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00576">Descriptors.hpp:576</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a009726b2903177e23e49731c0b26dacb"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a009726b2903177e23e49731c0b26dacb">armnn::LayerSupportHandle::IsComparisonSupported</a></div><div class="ttdeci">bool IsComparisonSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const ComparisonDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00268">BackendHelper.cpp:268</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a3028cc42e40f9a1f4f8b35556d9715a4"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3028cc42e40f9a1f4f8b35556d9715a4">armnn::LayerType::GatherNd</a></div><div class="ttdeci">@ GatherNd</div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa1d0ec6d56f8833a078b5a7ac4caf2d4">armnn::LayerType::Minimum</a></div><div class="ttdeci">@ Minimum</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a></div><div class="ttdeci">@ Constant</div></div>
<div class="ttc" id="aclassarmnn_1_1_backend_options_1_1_var_xhtml_a8e1f21bd37f13d6a990f35127974c5d0"><div class="ttname"><a href="classarmnn_1_1_backend_options_1_1_var.xhtml#a8e1f21bd37f13d6a990f35127974c5d0">armnn::BackendOptions::Var::AsUnsignedInt</a></div><div class="ttdeci">unsigned int AsUnsignedInt() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00121">BackendOptions.hpp:121</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a04da66d00ef1d291cea528334dbf8888"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a04da66d00ef1d291cea528334dbf8888">armnn::LayerSupportHandle::IsDequantizeSupported</a></div><div class="ttdeci">bool IsDequantizeSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00500">BackendHelper.cpp:500</a></div></div>
<div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml">armnn::Convolution2dDescriptor</a></div><div class="ttdoc">A Convolution2dDescriptor for the Convolution2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00522">Descriptors.hpp:522</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a7acaa4ebbfe486c22d91d34892647f00"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a7acaa4ebbfe486c22d91d34892647f00">armnn::LayerSupportHandle::IsReduceSupported</a></div><div class="ttdeci">bool IsReduceSupported(const TensorInfo &input, const TensorInfo &output, const ReduceDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l01169">BackendHelper.cpp:1169</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a06b091bc9aea697ba473c71f0bb55925">armnn::LayerType::Lstm</a></div><div class="ttdeci">@ Lstm</div></div>
<div class="ttc" id="astructarmnn_1_1_batch_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.xhtml">armnn::BatchNormalizationDescriptor</a></div><div class="ttdoc">A BatchNormalizationDescriptor for the BatchNormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00816">Descriptors.hpp:816</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_ad9d63207a6729eb7aee5799925b947f1"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#ad9d63207a6729eb7aee5799925b947f1">armnn::LayerSupportHandle::IsResizeSupported</a></div><div class="ttdeci">bool IsResizeSupported(const TensorInfo &input, const TensorInfo &output, const ResizeDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l01199">BackendHelper.cpp:1199</a></div></div>
<div class="ttc" id="astructarmnn_1_1_backend_options_1_1_backend_option_xhtml"><div class="ttname"><a href="structarmnn_1_1_backend_options_1_1_backend_option.xhtml">armnn::BackendOptions::BackendOption</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00215">BackendOptions.hpp:215</a></div></div>
<div class="ttc" id="a_tensor_8hpp_xhtml"><div class="ttname"><a href="_tensor_8hpp.xhtml">Tensor.hpp</a></div></div>
<div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml">armnn::QLstmDescriptor</a></div><div class="ttdoc">A QLstmDescriptor for the QLstmLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01347">Descriptors.hpp:1347</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4abcd30d7ea97ad20c2cddc0f47e6b70c7">armnn::LayerType::ElementwiseUnary</a></div><div class="ttdeci">@ ElementwiseUnary</div></div>
<div class="ttc" id="aclassarmnn_1_1_optional_base_xhtml_a86b749ce2c4bc627fa8a1fcfaf0e314f"><div class="ttname"><a href="classarmnn_1_1_optional_base.xhtml#a86b749ce2c4bc627fa8a1fcfaf0e314f">armnn::OptionalBase::has_value</a></div><div class="ttdeci">bool has_value() const noexcept</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00053">Optional.hpp:53</a></div></div>
<div class="ttc" id="astructarmnn_1_1_empty_optional_xhtml"><div class="ttname"><a href="structarmnn_1_1_empty_optional.xhtml">armnn::EmptyOptional</a></div><div class="ttdoc">EmptyOptional is used to initialize the Optional class in case we want to have default value for an O...</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00032">Optional.hpp:32</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_ad6875dbc48201de4686cea7d92545d20"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#ad6875dbc48201de4686cea7d92545d20">armnn::LayerSupportHandle::IsFillSupported</a></div><div class="ttdeci">bool IsFillSupported(const TensorInfo &input, const TensorInfo &output, const FillDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00648">BackendHelper.cpp:648</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a">armnn::LayerType::SpaceToDepth</a></div><div class="ttdeci">@ SpaceToDepth</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a3489c7b05e180496cb2ce8ac73887f48"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3489c7b05e180496cb2ce8ac73887f48">armnn::LayerType::FakeQuantization</a></div><div class="ttdeci">@ FakeQuantization</div></div>
<div class="ttc" id="aclassarmnn_1_1_backend_registry_xhtml_a34fad4b6d0db8ebfad2f9178f0a90816"><div class="ttname"><a href="classarmnn_1_1_backend_registry.xhtml#a34fad4b6d0db8ebfad2f9178f0a90816">armnn::BackendRegistry::IsBackendRegistered</a></div><div class="ttdeci">bool IsBackendRegistered(const BackendId &id) const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_registry_8cpp_source.xhtml#l00052">BackendRegistry.cpp:52</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_ab3db15cd8b26b0d524e38a032038909f"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#ab3db15cd8b26b0d524e38a032038909f">armnn::LayerSupportHandle::IsLogSoftmaxSupported</a></div><div class="ttdeci">bool IsLogSoftmaxSupported(const TensorInfo &input, const TensorInfo &output, const LogSoftmaxDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00847">BackendHelper.cpp:847</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a93bca63ecbb003649425dd0e4ba79a99"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a93bca63ecbb003649425dd0e4ba79a99">armnn::LayerType::StandIn</a></div><div class="ttdeci">@ StandIn</div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_ac9fc5eef6788cfc03488c843a57b0f19"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#ac9fc5eef6788cfc03488c843a57b0f19">armnn::LayerSupportHandle::IsChannelShuffleSupported</a></div><div class="ttdeci">bool IsChannelShuffleSupported(const TensorInfo &input, const TensorInfo &output, const ChannelShuffleDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00253">BackendHelper.cpp:253</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a83e575fda7eaaf4ec619bb2a1475215a"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a83e575fda7eaaf4ec619bb2a1475215a">armnn::LayerSupportHandle::IsRankSupported</a></div><div class="ttdeci">bool IsRankSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l01155">BackendHelper.cpp:1155</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_backend_options_1_1_var_xhtml_ac488187ef67bf8905cbe686daab95183"><div class="ttname"><a href="classarmnn_1_1_backend_options_1_1_var.xhtml#ac488187ef67bf8905cbe686daab95183">armnn::BackendOptions::Var::AsBool</a></div><div class="ttdeci">bool AsBool() const</div><div class="ttdoc">Value getters.</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00119">BackendOptions.hpp:119</a></div></div>
<div class="ttc" id="a_backend_registry_8hpp_xhtml"><div class="ttname"><a href="_backend_registry_8hpp.xhtml">BackendRegistry.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a67abbe7e0891e7e200710db1045b8749"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a67abbe7e0891e7e200710db1045b8749">armnn::LayerSupportHandle::IsConstantSupported</a></div><div class="ttdeci">bool IsConstantSupported(const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00304">BackendHelper.cpp:304</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d">armnn::LayerType::StridedSlice</a></div><div class="ttdeci">@ StridedSlice</div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_ae6871b9b6a4b8d56ec70caaf25721598"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#ae6871b9b6a4b8d56ec70caaf25721598">armnn::LayerSupportHandle::IsQLstmSupported</a></div><div class="ttdeci">bool IsQLstmSupported(const TensorInfo &input, const TensorInfo &previousOutputIn, const TensorInfo &previousCellStateIn, const TensorInfo &outputStateOut, const TensorInfo &cellStateOut, const TensorInfo &output, const QLstmDescriptor &descriptor, const LstmInputParamsInfo &paramsInfo, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l01117">BackendHelper.cpp:1117</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">armnn::LayerType::DetectionPostProcess</a></div><div class="ttdeci">@ DetectionPostProcess</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3d6c9ac08ada31c184094bbc67afe00d">armnn::LayerType::Mean</a></div><div class="ttdeci">@ Mean</div></div>
<div class="ttc" id="astructarmnn_1_1_base_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_base_descriptor.xhtml">armnn::BaseDescriptor</a></div><div class="ttdoc">Base class for all descriptors.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00022">Descriptors.hpp:22</a></div></div>
<div class="ttc" id="astructarmnn_1_1_origins_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml">armnn::OriginsDescriptor</a></div><div class="ttdoc">An OriginsDescriptor for the ConcatLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00201">Descriptors.hpp:201</a></div></div>
<div class="ttc" id="astructarmnn_1_1_reshape_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_reshape_descriptor.xhtml">armnn::ReshapeDescriptor</a></div><div class="ttdoc">A ReshapeDescriptor for the ReshapeLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00990">Descriptors.hpp:990</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_ab75d2c31ff8f8a1328ef553add2b9d78"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#ab75d2c31ff8f8a1328ef553add2b9d78">armnn::LayerSupportHandle::IsConvertFp32ToFp16Supported</a></div><div class="ttdeci">bool IsConvertFp32ToFp16Supported(const TensorInfo &input, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00331">BackendHelper.cpp:331</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">armnn::LayerType::BatchToSpaceNd</a></div><div class="ttdeci">@ BatchToSpaceNd</div></div>
<div class="ttc" id="aclassarmnn_1_1_backend_options_1_1_var_xhtml_ad0c302a166dc669426251446bca2748a"><div class="ttname"><a href="classarmnn_1_1_backend_options_1_1_var.xhtml#ad0c302a166dc669426251446bca2748a">armnn::BackendOptions::Var::AsInt</a></div><div class="ttdeci">int AsInt() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00120">BackendOptions.hpp:120</a></div></div>
<div class="ttc" id="astructarmnn_1_1_permute_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.xhtml">armnn::PermuteDescriptor</a></div><div class="ttdoc">A PermuteDescriptor for the PermuteLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00149">Descriptors.hpp:149</a></div></div>
<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml">armnn::TransposeConvolution2dDescriptor</a></div><div class="ttdoc">A TransposeConvolution2dDescriptor for the TransposeConvolution2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01407">Descriptors.hpp:1407</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml">armnn::LayerSupportHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8hpp_source.xhtml#l00029">BackendHelper.hpp:29</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a731729ad1b2c0eb9399b62c770b3482d">armnn::LayerType::DepthToSpace</a></div><div class="ttdeci">@ DepthToSpace</div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a0fc398e1ec8d7f0cb7ab5a90340d4f58"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a0fc398e1ec8d7f0cb7ab5a90340d4f58">armnn::LayerSupportHandle::IsConcatSupported</a></div><div class="ttdeci">bool IsConcatSupported(const std::vector< const TensorInfo * > inputs, const TensorInfo &output, const OriginsDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00284">BackendHelper.cpp:284</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a6b93f36d8107b656ee5d218bbf135526"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a6b93f36d8107b656ee5d218bbf135526">armnn::LayerSupportHandle::IsSplitterSupported</a></div><div class="ttdeci">bool IsSplitterSupported(const TensorInfo &input, const std::vector< std::reference_wrapper< TensorInfo >> &outputs, const ViewsDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l01288">BackendHelper.cpp:1288</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a9bde2dc2423d317d1c61f5198a32ffc5"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a9bde2dc2423d317d1c61f5198a32ffc5">armnn::LayerSupportHandle::IsMinimumSupported</a></div><div class="ttdeci">bool IsMinimumSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00956">BackendHelper.cpp:956</a></div></div>
<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml">armnn::Pooling2dDescriptor</a></div><div class="ttdoc">A Pooling2dDescriptor for the Pooling2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00359">Descriptors.hpp:359</a></div></div>
<div class="ttc" id="astructarmnn_1_1_logical_binary_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_logical_binary_descriptor.xhtml">armnn::LogicalBinaryDescriptor</a></div><div class="ttdoc">A LogicalBinaryDescriptor for the LogicalBinaryLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01485">Descriptors.hpp:1485</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4abbc155fb2b111bf61c4f5ff892915e6b"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4abbc155fb2b111bf61c4f5ff892915e6b">armnn::LayerType::Switch</a></div><div class="ttdeci">@ Switch</div></div>
<div class="ttc" id="aclassarmnn_1_1_optional_xhtml"><div class="ttname"><a href="classarmnn_1_1_optional.xhtml">armnn::Optional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00270">Optional.hpp:270</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_backend_options_1_1_var_xhtml_aec0a6f81c7581924db00ea960358d91b"><div class="ttname"><a href="classarmnn_1_1_backend_options_1_1_var.xhtml#aec0a6f81c7581924db00ea960358d91b">armnn::BackendOptions::Var::IsFloat</a></div><div class="ttdeci">bool IsFloat() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00115">BackendOptions.hpp:115</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a14275495042ea02d0348dd70eeaf3d68"><div class="ttname"><a href="namespacearmnn.xhtml#a14275495042ea02d0348dd70eeaf3d68">armnn::TensorInfos</a></div><div class="ttdeci">std::vector< TensorInfo > TensorInfos</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00142">BackendHelper.cpp:142</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a6d9d90e2ace1cd49789835b0073196a3"><div class="ttname"><a href="namespacearmnn.xhtml#a6d9d90e2ace1cd49789835b0073196a3">armnn::GetILayerSupportByBackendId</a></div><div class="ttdeci">LayerSupportHandle GetILayerSupportByBackendId(const armnn::BackendId &backend)</div><div class="ttdoc">Convenience function to retrieve the ILayerSupportHandle for a backend.</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00023">BackendHelper.cpp:23</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">armnn::LayerType::Concat</a></div><div class="ttdeci">@ Concat</div></div>
<div class="ttc" id="astructarmnn_1_1_arg_min_max_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.xhtml">armnn::ArgMinMaxDescriptor</a></div><div class="ttdoc">An ArgMinMaxDescriptor for ArgMinMaxLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00067">Descriptors.hpp:67</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a4b24ad5272e46963d44bd754fb44773e"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a4b24ad5272e46963d44bd754fb44773e">armnn::LayerSupportHandle::IsArgMinMaxSupported</a></div><div class="ttdeci">bool IsArgMinMaxSupported(const TensorInfo &input, const TensorInfo &output, const ArgMinMaxDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00174">BackendHelper.cpp:174</a></div></div>
<div class="ttc" id="astructarmnn_1_1_fake_quantization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_fake_quantization_descriptor.xhtml">armnn::FakeQuantizationDescriptor</a></div><div class="ttdoc">A FakeQuantizationDescriptor for the FakeQuantizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00894">Descriptors.hpp:894</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_afdcb4b8205b86fc16e74b357c4e06005"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#afdcb4b8205b86fc16e74b357c4e06005">armnn::LayerSupportHandle::IsSubtractionSupported</a></div><div class="ttdeci">bool IsSubtractionSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l01366">BackendHelper.cpp:1366</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a47c73a3f41062d0f686229d2054abfb1"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a47c73a3f41062d0f686229d2054abfb1">armnn::LayerSupportHandle::IsAdditionSupported</a></div><div class="ttdeci">bool IsAdditionSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00159">BackendHelper.cpp:159</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4cd9f3996d60790cd11c04f842ebc43c">armnn::LayerType::Cast</a></div><div class="ttdeci">@ Cast</div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a8591ee5c0af1e6e8cb9dd303e09b9329"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a8591ee5c0af1e6e8cb9dd303e09b9329">armnn::LayerSupportHandle::IsQuantizeSupported</a></div><div class="ttdeci">bool IsQuantizeSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l01103">BackendHelper.cpp:1103</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a7d0dbbd1bcbe31d7cf1d0f0773a9cfc9"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a7d0dbbd1bcbe31d7cf1d0f0773a9cfc9">armnn::LayerSupportHandle::IsInstanceNormalizationSupported</a></div><div class="ttdeci">bool IsInstanceNormalizationSupported(const TensorInfo &input, const TensorInfo &output, const InstanceNormalizationDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00785">BackendHelper.cpp:785</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">armnn::LayerType::BatchMatMul</a></div><div class="ttdeci">@ BatchMatMul</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">armnn::LayerType::Convolution3d</a></div><div class="ttdeci">@ Convolution3d</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a41cb9b797ebc6f6f6314e3ded935f4cf">armnn::LayerType::Splitter</a></div><div class="ttdeci">@ Splitter</div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml">armnn::QuantizedLstmInputParamsInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00119">QuantizedLstmParams.hpp:119</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ac21dbda57d88c21ec9857f5d1522c488">armnn::LayerType::LogSoftmax</a></div><div class="ttdeci">@ LogSoftmax</div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a8d9016c939cefa350d98bf0de1df12c3"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a8d9016c939cefa350d98bf0de1df12c3">armnn::LayerSupportHandle::IsMemImportSupported</a></div><div class="ttdeci">bool IsMemImportSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00927">BackendHelper.cpp:927</a></div></div>
<div class="ttc" id="a_backend_options_8hpp_xhtml"><div class="ttname"><a href="_backend_options_8hpp.xhtml">BackendOptions.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a7ef5e420337dd6c60ff00a780da8b8e7"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a7ef5e420337dd6c60ff00a780da8b8e7">armnn::LayerSupportHandle::IsGatherSupported</a></div><div class="ttdeci">bool IsGatherSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const GatherDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00741">BackendHelper.cpp:741</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a1ba0862636ccfea01078005c4e6ba6de"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a1ba0862636ccfea01078005c4e6ba6de">armnn::LayerSupportHandle::IsBackendRegistered</a></div><div class="ttdeci">bool IsBackendRegistered() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00132">BackendHelper.cpp:132</a></div></div>
<div class="ttc" id="a_types_8hpp_xhtml"><div class="ttname"><a href="_types_8hpp.xhtml">Types.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a539f763ea554e067ef3d5fab0e174614"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a539f763ea554e067ef3d5fab0e174614">armnn::LayerSupportHandle::IsStackSupported</a></div><div class="ttdeci">bool IsStackSupported(const std::vector< const TensorInfo * > &inputs, const TensorInfo &output, const StackDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l01307">BackendHelper.cpp:1307</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a></div><div class="ttdeci">@ Output</div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_ae1dd7bce774b0aa7dd3524eb44f89a55"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#ae1dd7bce774b0aa7dd3524eb44f89a55">armnn::LayerSupportHandle::IsInputSupported</a></div><div class="ttdeci">bool IsInputSupported(const TensorInfo &input, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00772">BackendHelper.cpp:772</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_aa07db64cfdc35b36c98c85a151ced2c3"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#aa07db64cfdc35b36c98c85a151ced2c3">armnn::LayerSupportHandle::IsLstmSupported</a></div><div class="ttdeci">bool IsLstmSupported(const TensorInfo &input, const TensorInfo &outputStateIn, const TensorInfo &cellStateIn, const TensorInfo &scratchBuffer, const TensorInfo &outputStateOut, const TensorInfo &cellStateOut, const TensorInfo &output, const LstmDescriptor &descriptor, const LstmInputParamsInfo &paramsInfo, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00862">BackendHelper.cpp:862</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">armnn::LayerType::Multiplication</a></div><div class="ttdeci">@ Multiplication</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">armnn::LayerType::MemImport</a></div><div class="ttdeci">@ MemImport</div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_ab14cf394d41e0d2e054168ac750609eb"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#ab14cf394d41e0d2e054168ac750609eb">armnn::LayerSupportHandle::IsElementwiseBinarySupported</a></div><div class="ttdeci">bool IsElementwiseBinarySupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const ElementwiseBinaryDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00603">BackendHelper.cpp:603</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_backend_options_1_1_var_xhtml_a8f86682f960b846e1c3a59eb7fc6ae95"><div class="ttname"><a href="classarmnn_1_1_backend_options_1_1_var.xhtml#a8f86682f960b846e1c3a59eb7fc6ae95">armnn::BackendOptions::Var::AsFloat</a></div><div class="ttdeci">float AsFloat() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00122">BackendOptions.hpp:122</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">armnn::LayerType::Prelu</a></div><div class="ttdeci">@ Prelu</div></div>
<div class="ttc" id="astructarmnn_1_1_instance_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.xhtml">armnn::InstanceNormalizationDescriptor</a></div><div class="ttdoc">An InstanceNormalizationDescriptor for InstanceNormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00835">Descriptors.hpp:835</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_ad27447d85b494ac487e6747699f984e6"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#ad27447d85b494ac487e6747699f984e6">armnn::LayerSupportHandle::IsLogicalBinarySupported</a></div><div class="ttdeci">bool IsLogicalBinarySupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const LogicalBinaryDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00816">BackendHelper.cpp:816</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">armnn::LayerType::Dequantize</a></div><div class="ttdeci">@ Dequantize</div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a07a5657f1412279928aba85d387ec692"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a07a5657f1412279928aba85d387ec692">armnn::LayerSupportHandle::IsSliceSupported</a></div><div class="ttdeci">bool IsSliceSupported(const TensorInfo &input, const TensorInfo &output, const SliceDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l01228">BackendHelper.cpp:1228</a></div></div>
<div class="ttc" id="astructarmnn_1_1_elementwise_binary_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_elementwise_binary_descriptor.xhtml">armnn::ElementwiseBinaryDescriptor</a></div><div class="ttdoc">A ElementwiseBinaryDescriptor for the ElementwiseBinaryLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00109">Descriptors.hpp:109</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a2d5274abadcaba1d3065d2e411c7a180"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a2d5274abadcaba1d3065d2e411c7a180">armnn::LayerSupportHandle::IsFullyConnectedSupported</a></div><div class="ttdeci">bool IsFullyConnectedSupported(const TensorInfo &input, const TensorInfo &output, const TensorInfo &weights, const TensorInfo &biases, const FullyConnectedDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00677">BackendHelper.cpp:677</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a284539ab273e1816e76f320bf90e9546"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a284539ab273e1816e76f320bf90e9546">armnn::LayerSupportHandle::IsMergeSupported</a></div><div class="ttdeci">bool IsMergeSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00941">BackendHelper.cpp:941</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_abd839f0f103c1ae19a4b38d59b869108"><div class="ttname"><a href="namespacearmnn.xhtml#abd839f0f103c1ae19a4b38d59b869108">armnn::HasCapability</a></div><div class="ttdeci">bool HasCapability(const std::string &name, const BackendCapabilities &capabilities)</div><div class="ttdoc">Convenience function to check if a capability exists in a BackendCapabilites struct.</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00065">BackendHelper.cpp:65</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a1ba143ebe524d46181a4b53470693278"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1ba143ebe524d46181a4b53470693278">armnn::LayerType::PreCompiled</a></div><div class="ttdeci">@ PreCompiled</div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a79c5c5b719cda20e6c98b817d5d017dc"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a79c5c5b719cda20e6c98b817d5d017dc">armnn::LayerSupportHandle::IsElementwiseUnarySupported</a></div><div class="ttdeci">bool IsElementwiseUnarySupported(const TensorInfo &input, const TensorInfo &output, const ElementwiseUnaryDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00619">BackendHelper.cpp:619</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_support_handle_xhtml_a8ead902c2b5299ef327260808d68f18e"><div class="ttname"><a href="classarmnn_1_1_layer_support_handle.xhtml#a8ead902c2b5299ef327260808d68f18e">armnn::LayerSupportHandle::IsFloorSupported</a></div><div class="ttdeci">bool IsFloorSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00663">BackendHelper.cpp:663</a></div></div>
<div class="ttc" id="astructarmnn_1_1_space_to_batch_nd_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml">armnn::SpaceToBatchNdDescriptor</a></div><div class="ttdoc">A SpaceToBatchNdDescriptor for the SpaceToBatchNdLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01010">Descriptors.hpp:1010</a></div></div>
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