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<div class="title">LoadedNetwork.hpp</div> </div>
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<a href="_loaded_network_8hpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> </div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_network_8hpp.xhtml">Network.hpp</a>"</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_layer_fwd_8hpp.xhtml">LayerFwd.hpp</a>"</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include "<a class="code" href="_profiling_8hpp.xhtml">Profiling.hpp</a>"</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> </div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_tensor_8hpp.xhtml">armnn/Tensor.hpp</a>></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> </div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <<a class="code" href="_i_backend_internal_8hpp.xhtml">armnn/backends/IBackendInternal.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_memory_optimizer_strategy_8hpp.xhtml">armnn/backends/IMemoryOptimizerStrategy.hpp</a>></span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <<a class="code" href="_workload_8hpp.xhtml">armnn/backends/Workload.hpp</a>></span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include <<a class="code" href="_workload_factory_8hpp.xhtml">armnn/backends/WorkloadFactory.hpp</a>></span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> </div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="preprocessor">#include <<a class="code" href="_default_allocator_8hpp.xhtml">backendsCommon/DefaultAllocator.hpp</a>></span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="preprocessor">#include <<a class="code" href="_memory_manager_8hpp.xhtml">backendsCommon/MemoryManager.hpp</a>></span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="preprocessor">#include <<a class="code" href="_tensor_handle_factory_registry_8hpp.xhtml">backendsCommon/TensorHandleFactoryRegistry.hpp</a>></span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor">#include <<a class="code" href="_single_axis_priority_list_8hpp.xhtml">backendsCommon/memoryOptimizerStrategyLibrary/strategies/SingleAxisPriorityList.hpp</a>></span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> </div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="preprocessor">#include <client/include/IProfilingService.hpp></span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include <client/include/TimelineUtilityMethods.hpp></span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include <common/include/LabelsAndEventClasses.hpp></span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> </div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include <mutex></span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include <condition_variable></span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include <unordered_map></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">namespace </span><a class="code" href="namespacecl.xhtml">cl</a></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> {</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="keyword">class </span>Context;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="keyword">class </span>CommandQueue;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="keyword">class </span>Device;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> }</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> {</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div><div class="line"><a name="l00042"></a><span class="lineno"><a class="line" href="classarmnn_1_1_loaded_network.xhtml"> 42</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_1_1_loaded_network.xhtml">LoadedNetwork</a></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> {</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="classarmnn_1_1_loaded_network.xhtml#a48fe2df41d914c38c913160956acc706"> 45</a></span>  <span class="keyword">using</span> <a class="code" href="classarmnn_1_1_loaded_network.xhtml#a48fe2df41d914c38c913160956acc706">WorkloadQueue</a> = std::vector<std::unique_ptr<IWorkload>>;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> </div><div class="line"><a name="l00047"></a><span class="lineno"><a class="line" href="classarmnn_1_1_loaded_network.xhtml#a1bf130efa381d53486c78ea417ea4db1"> 47</a></span>  <a class="code" href="classarmnn_1_1_loaded_network.xhtml#a1bf130efa381d53486c78ea417ea4db1">~LoadedNetwork</a>()</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  {</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  FreeWorkingMemory();</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  }</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment"></span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment"> /// Create a new unique WorkingMemHandle object. Create multiple handles if you wish to have</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment"> /// overlapped Execution by calling this function from different threads.</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"></span> std::unique_ptr<IWorkingMemHandle> CreateWorkingMemHandle(<a class="code" href="namespacearmnn.xhtml#a0d8160388a127c1a23b37bc88dc6e2ec">NetworkId</a> networkId);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> </div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> GetInputTensorInfo(<a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> layerId) <span class="keyword">const</span>;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> GetOutputTensorInfo(<a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> layerId) <span class="keyword">const</span>;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  std::vector<ImportedInputId> ImportInputs(<span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">InputTensors</a>& inputTensors,</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <a class="code" href="namespacearmnn.xhtml#a14fcd7f88d11cea0a018269dca5f9277">MemorySource</a> forceImportMemorySource = MemorySource::Undefined);</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  std::vector<ImportedOutputId> ImportOutputs(<span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">OutputTensors</a>& outputTensors,</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <a class="code" href="namespacearmnn.xhtml#a14fcd7f88d11cea0a018269dca5f9277">MemorySource</a> forceImportMemorySource = MemorySource::Undefined);</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>  <span class="keywordtype">void</span> ClearImportedInputs(<span class="keyword">const</span> std::vector<ImportedInputId> inputIds);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordtype">void</span> ClearImportedOutputs(<span class="keyword">const</span> std::vector<ImportedOutputId> outputIds);</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="comment"></span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="comment"> /// Single thread execution of the loaded network</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> EnqueueWorkload(<span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">InputTensors</a>& inputTensors, <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">OutputTensors</a>& outputTensors,</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  std::vector<ImportedInputId> preImportedInputIds = {},</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  std::vector<ImportedOutputId> preImportedOutputIds = {});</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="comment"></span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="comment"> /// Thread safe execution of the loaded network</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> Execute(<span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">InputTensors</a>& inputTensors,</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">OutputTensors</a>& outputTensors,</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <a class="code" href="classarmnn_1_1experimental_1_1_i_working_mem_handle.xhtml">IWorkingMemHandle</a>& workingMemHandle,</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  std::vector<ImportedInputId> preImportedInputs = {},</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  std::vector<ImportedOutputId> preImportedOutputs = {});</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">static</span> std::unique_ptr<LoadedNetwork> MakeLoadedNetwork(std::unique_ptr<IOptimizedNetwork> net,</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  std::string& errorMessage,</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_i_network_properties.xhtml">INetworkProperties</a>& networkProperties,</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  arm::pipe::IProfilingService* profilingService);</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="comment">// NOTE we return by reference as the purpose of this method is only to provide</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="comment">// access to the private m_Profiler and in theory we should not need to increment</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="comment">// the shared_ptr's reference counter</span></div><div class="line"><a name="l00087"></a><span class="lineno"><a class="line" href="classarmnn_1_1_loaded_network.xhtml#aee8e1cb09e0d4dcbe64df111c5edd55e"> 87</a></span>  <span class="keyword">const</span> std::shared_ptr<IProfiler>& <a class="code" href="classarmnn_1_1_loaded_network.xhtml#aee8e1cb09e0d4dcbe64df111c5edd55e">GetProfiler</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_OptimizedNetwork->GetProfiler(); }</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordtype">void</span> FreeWorkingMemory();</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keywordtype">void</span> RegisterDebugCallback(<span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a15f3ad9b5e4e3d46b0a6dda246a7bc28">DebugCallbackFunction</a>& func);</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordtype">void</span> SendNetworkStructure(arm::pipe::IProfilingService& profilingService);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> </div><div class="line"><a name="l00095"></a><span class="lineno"><a class="line" href="classarmnn_1_1_loaded_network.xhtml#a390c87e27deac4f51af9533053b2ee14"> 95</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_loaded_network.xhtml#a390c87e27deac4f51af9533053b2ee14">IsAsyncEnabled</a>()</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  {</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordflow">return</span> m_NetworkProperties.m_AsyncEnabled;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  }</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  arm::pipe::ProfilingGuid GetNetworkGuid();</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> <span class="keyword">private</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> </div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordtype">void</span> AllocateWorkingMemory(</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> #<span class="keywordflow">if</span> !defined(ARMNN_DISABLE_THREADS)</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  std::lock_guard<std::mutex>& lock</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> #endif</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  );</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordtype">void</span> AllocateAndExecuteConstantWorkloads();</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordtype">void</span> AllocateAndExecuteConstantWorkloadsAsync();</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  std::unordered_map<LayerGuid, std::unique_ptr<IWorkload>> m_ConstantWorkloads;</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  std::unordered_map<LayerGuid, ITensorHandle*> m_ConstantTensorHandles;</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> </div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  std::unique_ptr<IMemoryOptimizerStrategy> m_ConstantStrategy = std::make_unique<SingleAxisPriorityList>();</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> </div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <a class="code" href="classarmnn_1_1_loaded_network.xhtml">LoadedNetwork</a>(std::unique_ptr<IOptimizedNetwork> net,</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_i_network_properties.xhtml">INetworkProperties</a>& networkProperties,</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  arm::pipe::IProfilingService* profilingService);</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="keywordtype">void</span> EnqueueInput(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_bindable_layer.xhtml">BindableLayer</a>& layer, <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* tensorHandle, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& tensorInfo);</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> </div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordtype">void</span> EnqueueOutput(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_bindable_layer.xhtml">BindableLayer</a>& layer, <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* tensorHandle, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& tensorInfo);</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> </div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordtype">void</span> EnqueueInput(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>& inputTensor, <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* inputTensorHandle);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordtype">void</span> ImportOutputTensor(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor.xhtml">Tensor</a>& outputTensor, <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* outputTensorHandle);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> </div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordtype">bool</span> Execute(std::unique_ptr<arm::pipe::TimelineUtilityMethods>& timelineUtils,</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  arm::pipe::ProfilingGuid inferenceGuid);</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> </div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">IWorkloadFactory</a>& GetWorkloadFactory(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& layer) <span class="keyword">const</span>;</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keyword">inline</span> <a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> ValidateImportedInputID(<a class="code" href="namespacearmnn.xhtml#a1c5ec805688cb558465a82a8d9f56a90">ImportedInputId</a> <span class="keywordtype">id</span>);</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keyword">inline</span> <a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> ValidateImportedOutputID(<a class="code" href="namespacearmnn.xhtml#ac68a434f0e78e33726bfb22a39ec813f">ImportedOutputId</a> <span class="keywordtype">id</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>  <span class="keywordtype">void</span> CreateMemoryProfile();</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordtype">void</span> CreateMemoryProfileAsync();</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>  std::unique_ptr<MemoryManager> CreateExternalMemoryManger(</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  std::vector<std::pair<std::shared_ptr<TensorMemory>, <a class="code" href="namespacearmnn.xhtml#a14fcd7f88d11cea0a018269dca5f9277">MemorySource</a>>>& tensorMemory);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> </div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keyword">using</span> BackendPtrMap = std::unordered_map<BackendId, IBackendInternalUniquePtr>;</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  BackendPtrMap m_Backends;</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  std::vector<IBackendInternal::IMemoryManagerSharedPtr> m_BackendMemoryMangers;</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>  <span class="keyword">using</span> WorkloadFactoryMap = std::unordered_map<BackendId, IBackendInternal::IWorkloadFactoryPtr>;</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  WorkloadFactoryMap m_WorkloadFactories;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> </div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  std::unique_ptr<IOptimizedNetwork> m_OptimizedNetwork;</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> </div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <a class="code" href="classarmnn_1_1_loaded_network.xhtml#a48fe2df41d914c38c913160956acc706">WorkloadQueue</a> m_InputQueue;</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <a class="code" href="classarmnn_1_1_loaded_network.xhtml#a48fe2df41d914c38c913160956acc706">WorkloadQueue</a> m_WorkloadQueue;</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <a class="code" href="classarmnn_1_1_loaded_network.xhtml#a48fe2df41d914c38c913160956acc706">WorkloadQueue</a> m_OutputQueue;</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> <span class="preprocessor">#if !defined(ARMNN_DISABLE_THREADS)</span></div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keyword">mutable</span> std::mutex m_WorkingMemMutex;</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> </div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keywordtype">bool</span> m_IsWorkingMemAllocated = <span class="keyword">false</span>;</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="structarmnn_1_1_i_network_properties.xhtml">INetworkProperties</a> m_NetworkProperties;</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>  <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">TensorHandleFactoryRegistry</a> m_TensorHandleFactoryRegistry;</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> </div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="comment">// NOTE: raw pointer because the profiling service is controlled by the Runtime</span></div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  arm::pipe::IProfilingService* m_ProfilingService;</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> </div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keyword">struct </span>ImportedTensorHandlePin</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>  ImportedTensorHandlePin()</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  {}</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> </div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  ImportedTensorHandlePin(<a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> layerBindingId,</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  std::unique_ptr<ITensorHandle> tensorHandle)</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  : m_LayerBindingId(layerBindingId)</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  , m_TensorHandle(std::move(tensorHandle))</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> </div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  ImportedTensorHandlePin(ImportedTensorHandlePin&&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> </div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  ~ImportedTensorHandlePin()</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  {</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keywordflow">if</span> (m_TensorHandle)</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>  m_TensorHandle->Unimport();</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  }</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  }</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> </div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> m_LayerBindingId;</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  std::unique_ptr<ITensorHandle> m_TensorHandle;</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  };</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> </div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  std::vector<ImportedTensorHandlePin> m_PreImportedInputHandles;</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  std::vector<ImportedTensorHandlePin> m_PreImportedOutputHandles;</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> </div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <a class="code" href="namespacearmnn.xhtml#a1c5ec805688cb558465a82a8d9f56a90">ImportedInputId</a> m_CurImportedInputId = 0;</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <a class="code" href="namespacearmnn.xhtml#a1c5ec805688cb558465a82a8d9f56a90">ImportedInputId</a> m_CurImportedOutputId = 0;</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> </div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  std::unordered_map<BackendId, std::vector<MemBlock>> m_MemBlockMap;</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  std::unordered_map<BackendId, std::vector<MemBin>> m_MemBinMap;</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> </div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  std::vector<ITensorHandle*> m_Tensorhandles;</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> </div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  std::vector<std::pair<std::shared_ptr<TensorMemory>, <a class="code" href="namespacearmnn.xhtml#a14fcd7f88d11cea0a018269dca5f9277">MemorySource</a>>> m_TensorMemory;</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> </div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  std::unique_ptr<MemoryManager> m_ExternalMemoryManager;</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> </div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  std::unordered_map<BackendId, bool> m_SupportsExternallyManagedMemory;</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> </div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="comment">// A set of vectors to record the workload queue indexes and their corresponding Input/Output Slot indexes</span></div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="comment">// which are connected to Inputs and Outputs for the network.</span></div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keyword">struct </span>WorkloadIndices</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  {</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> m_WorkloadIndex;</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> m_SlotIndex;</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  };</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> </div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keyword">struct </span>OutputWorkloadIndices</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>  WorkloadIndices m_OutputSlotIndices;</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  std::vector<WorkloadIndices> m_InputSlotIndices;</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  };</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  std::unordered_map<LayerBindingId, std::vector<WorkloadIndices>> m_InputWorkloadSlotPairs;</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  std::unordered_map<LayerBindingId, OutputWorkloadIndices> m_OutputWorkloadSlotPairs;</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  std::vector<bool> m_IsInputImported;</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  std::vector<bool> m_IsOutputImported;</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> </div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> };</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> </div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span> }</div><div class="ttc" id="namespacecl_xhtml"><div class="ttname"><a href="namespacecl.xhtml">cl</a></div><div class="ttdef"><b>Definition:</b> <a href="_loaded_network_8hpp_source.xhtml#l00032">LoadedNetwork.hpp:32</a></div></div>
<div class="ttc" id="_tensor_8hpp_xhtml"><div class="ttname"><a href="_tensor_8hpp.xhtml">Tensor.hpp</a></div></div>
<div class="ttc" id="_i_backend_internal_8hpp_xhtml"><div class="ttname"><a href="_i_backend_internal_8hpp.xhtml">IBackendInternal.hpp</a></div></div>
<div class="ttc" id="_workload_factory_8hpp_xhtml"><div class="ttname"><a href="_workload_factory_8hpp.xhtml">WorkloadFactory.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.xhtml#l00022">WorkloadFactory.hpp:22</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ac68a434f0e78e33726bfb22a39ec813f"><div class="ttname"><a href="namespacearmnn.xhtml#ac68a434f0e78e33726bfb22a39ec813f">armnn::ImportedOutputId</a></div><div class="ttdeci">unsigned int ImportedOutputId</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00292">Types.hpp:292</a></div></div>
<div class="ttc" id="classarmnn_1_1_bindable_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_bindable_layer.xhtml">armnn::BindableLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00452">Layer.hpp:452</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_aa01bce88f89975a5a031db4cc8861527"><div class="ttname"><a href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a></div><div class="ttdeci">std::vector< std::pair< LayerBindingId, class ConstTensor > > InputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00392">Tensor.hpp:392</a></div></div>
<div class="ttc" id="namespacearmnn_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="namespacearmnn_xhtml_a15f3ad9b5e4e3d46b0a6dda246a7bc28"><div class="ttname"><a href="namespacearmnn.xhtml#a15f3ad9b5e4e3d46b0a6dda246a7bc28">armnn::DebugCallbackFunction</a></div><div class="ttdeci">std::function< void(LayerGuid guid, unsigned int slotIndex, ITensorHandle *tensorHandle)> DebugCallbackFunction</div><div class="ttdoc">Define the type of callback for the Debug layer to call. </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00379">Types.hpp:379</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ab8cf8f9fb6792e654c2d8d8382f6f01b"><div class="ttname"><a href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a></div><div class="ttdeci">int LayerBindingId</div><div class="ttdoc">Type of identifiers for bindable layers (inputs, outputs). </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00290">Types.hpp:290</a></div></div>
<div class="ttc" id="structarmnn_1_1_i_network_properties_xhtml"><div class="ttname"><a href="structarmnn_1_1_i_network_properties.xhtml">armnn::INetworkProperties</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00043">IRuntime.hpp:43</a></div></div>
<div class="ttc" id="_default_allocator_8hpp_xhtml"><div class="ttname"><a href="_default_allocator_8hpp.xhtml">DefaultAllocator.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and a mutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00319">Tensor.hpp:319</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml">armnn::ITensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_8hpp_source.xhtml#l00015">ITensorHandle.hpp:15</a></div></div>
<div class="ttc" id="classarmnn_1_1_loaded_network_xhtml_a1bf130efa381d53486c78ea417ea4db1"><div class="ttname"><a href="classarmnn_1_1_loaded_network.xhtml#a1bf130efa381d53486c78ea417ea4db1">armnn::LoadedNetwork::~LoadedNetwork</a></div><div class="ttdeci">~LoadedNetwork()</div><div class="ttdef"><b>Definition:</b> <a href="_loaded_network_8hpp_source.xhtml#l00047">LoadedNetwork.hpp:47</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a0d8160388a127c1a23b37bc88dc6e2ec"><div class="ttname"><a href="namespacearmnn.xhtml#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a></div><div class="ttdeci">int NetworkId</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00035">IRuntime.hpp:35</a></div></div>
<div class="ttc" id="classarmnn_1_1_const_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00327">Tensor.hpp:327</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a8f091a512915d1cb29a4ebf13dfc53ea"><div class="ttname"><a href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a></div><div class="ttdeci">std::vector< std::pair< LayerBindingId, class Tensor > > OutputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00393">Tensor.hpp:393</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdoc">enumeration </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00042">Types.hpp:42</a></div></div>
<div class="ttc" id="classarmnn_1_1experimental_1_1_i_working_mem_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1experimental_1_1_i_working_mem_handle.xhtml">armnn::experimental::IWorkingMemHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_working_mem_handle_8hpp_source.xhtml#l00020">IWorkingMemHandle.hpp:20</a></div></div>
<div class="ttc" id="classarmnn_1_1_loaded_network_xhtml_a48fe2df41d914c38c913160956acc706"><div class="ttname"><a href="classarmnn_1_1_loaded_network.xhtml#a48fe2df41d914c38c913160956acc706">armnn::LoadedNetwork::WorkloadQueue</a></div><div class="ttdeci">std::vector< std::unique_ptr< IWorkload > > WorkloadQueue</div><div class="ttdef"><b>Definition:</b> <a href="_loaded_network_8hpp_source.xhtml#l00045">LoadedNetwork.hpp:45</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_handle_factory_registry_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">armnn::TensorHandleFactoryRegistry</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_factory_registry_8hpp_source.xhtml#l00022">TensorHandleFactoryRegistry.hpp:22</a></div></div>
<div class="ttc" id="_i_memory_optimizer_strategy_8hpp_xhtml"><div class="ttname"><a href="_i_memory_optimizer_strategy_8hpp.xhtml">IMemoryOptimizerStrategy.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a1c5ec805688cb558465a82a8d9f56a90"><div class="ttname"><a href="namespacearmnn.xhtml#a1c5ec805688cb558465a82a8d9f56a90">armnn::ImportedInputId</a></div><div class="ttdeci">unsigned int ImportedInputId</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00291">Types.hpp:291</a></div></div>
<div class="ttc" id="_workload_8hpp_xhtml"><div class="ttname"><a href="_workload_8hpp.xhtml">Workload.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_loaded_network_xhtml"><div class="ttname"><a href="classarmnn_1_1_loaded_network.xhtml">armnn::LoadedNetwork</a></div><div class="ttdef"><b>Definition:</b> <a href="_loaded_network_8hpp_source.xhtml#l00042">LoadedNetwork.hpp:42</a></div></div>
<div class="ttc" id="_layer_fwd_8hpp_xhtml"><div class="ttname"><a href="_layer_fwd_8hpp.xhtml">LayerFwd.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_loaded_network_xhtml_aee8e1cb09e0d4dcbe64df111c5edd55e"><div class="ttname"><a href="classarmnn_1_1_loaded_network.xhtml#aee8e1cb09e0d4dcbe64df111c5edd55e">armnn::LoadedNetwork::GetProfiler</a></div><div class="ttdeci">const std::shared_ptr< IProfiler > & GetProfiler() const</div><div class="ttdef"><b>Definition:</b> <a href="_loaded_network_8hpp_source.xhtml#l00087">LoadedNetwork.hpp:87</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a14fcd7f88d11cea0a018269dca5f9277"><div class="ttname"><a href="namespacearmnn.xhtml#a14fcd7f88d11cea0a018269dca5f9277">armnn::MemorySource</a></div><div class="ttdeci">MemorySource</div><div class="ttdoc">Define the Memory Source to reduce copies. </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00230">Types.hpp:230</a></div></div>
<div class="ttc" id="_network_8hpp_xhtml"><div class="ttname"><a href="_network_8hpp.xhtml">Network.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_loaded_network_xhtml_a390c87e27deac4f51af9533053b2ee14"><div class="ttname"><a href="classarmnn_1_1_loaded_network.xhtml#a390c87e27deac4f51af9533053b2ee14">armnn::LoadedNetwork::IsAsyncEnabled</a></div><div class="ttdeci">bool IsAsyncEnabled()</div><div class="ttdef"><b>Definition:</b> <a href="_loaded_network_8hpp_source.xhtml#l00095">LoadedNetwork.hpp:95</a></div></div>
<div class="ttc" id="_profiling_8hpp_xhtml"><div class="ttname"><a href="_profiling_8hpp.xhtml">Profiling.hpp</a></div></div>
<div class="ttc" id="_tensor_handle_factory_registry_8hpp_xhtml"><div class="ttname"><a href="_tensor_handle_factory_registry_8hpp.xhtml">TensorHandleFactoryRegistry.hpp</a></div></div>
<div class="ttc" id="_memory_manager_8hpp_xhtml"><div class="ttname"><a href="_memory_manager_8hpp.xhtml">MemoryManager.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00217">Layer.hpp:217</a></div></div>
<div class="ttc" id="_single_axis_priority_list_8hpp_xhtml"><div class="ttname"><a href="_single_axis_priority_list_8hpp.xhtml">SingleAxisPriorityList.hpp</a></div></div>
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