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<div class="title">LoadedNetwork.hpp</div> </div>
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<a href="_loaded_network_8hpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<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>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="preprocessor">#pragma once</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160; </div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_network_8hpp.html">Network.hpp</a>&quot;</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_layer_fwd_8hpp.html">LayerFwd.hpp</a>&quot;</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_profiling_8hpp.html">Profiling.hpp</a>&quot;</span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160; </div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_8hpp.html">armnn/Tensor.hpp</a>&gt;</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160; </div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_i_backend_internal_8hpp.html">armnn/backends/IBackendInternal.hpp</a>&gt;</span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_i_memory_optimizer_strategy_8hpp.html">armnn/backends/IMemoryOptimizerStrategy.hpp</a>&gt;</span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_8hpp.html">armnn/backends/Workload.hpp</a>&gt;</span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_factory_8hpp.html">armnn/backends/WorkloadFactory.hpp</a>&gt;</span></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160; </div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_default_allocator_8hpp.html">backendsCommon/DefaultAllocator.hpp</a>&gt;</span></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_memory_manager_8hpp.html">backendsCommon/MemoryManager.hpp</a>&gt;</span></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_handle_factory_registry_8hpp.html">backendsCommon/TensorHandleFactoryRegistry.hpp</a>&gt;</span></div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_single_axis_priority_list_8hpp.html">backendsCommon/memoryOptimizerStrategyLibrary/strategies/SingleAxisPriorityList.hpp</a>&gt;</span></div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; </div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="preprocessor">#include &lt;client/include/IProfilingService.hpp&gt;</span></div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="preprocessor">#include &lt;client/include/TimelineUtilityMethods.hpp&gt;</span></div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; </div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;<span class="preprocessor">#include &lt;common/include/LabelsAndEventClasses.hpp&gt;</span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; </div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="preprocessor">#include &lt;mutex&gt;</span></div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="preprocessor">#include &lt;condition_variable&gt;</span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;<span class="preprocessor">#include &lt;unordered_map&gt;</span></div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; </div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="keyword">namespace </span>cl</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;{</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="keyword">class </span>Context;</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;<span class="keyword">class </span>CommandQueue;</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="keyword">class </span>Device;</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;}</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; </div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;{</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; </div>
<div class="line"><a name="l00042"></a><span class="lineno"><a class="line" href="classarmnn_1_1_loaded_network.html"> 42</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarmnn_1_1_loaded_network.html">LoadedNetwork</a></div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;{</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;<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.html#a48fe2df41d914c38c913160956acc706"> 45</a></span>&#160; <span class="keyword">using</span> <a class="code" href="classarmnn_1_1_loaded_network.html#a48fe2df41d914c38c913160956acc706">WorkloadQueue</a> = std::vector&lt;std::unique_ptr&lt;IWorkload&gt;&gt;;</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; </div>
<div class="line"><a name="l00047"></a><span class="lineno"><a class="line" href="classarmnn_1_1_loaded_network.html#a1bf130efa381d53486c78ea417ea4db1"> 47</a></span>&#160; <a class="code" href="classarmnn_1_1_loaded_network.html#a1bf130efa381d53486c78ea417ea4db1">~LoadedNetwork</a>()</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; {</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <a class="code" href="classarmnn_1_1_loaded_network.html#aaf8558a23ae9be6e7ea165989f1fa808">FreeWorkingMemory</a>();</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; }</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;<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>&#160;<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>&#160;<span class="comment"></span> std::unique_ptr&lt;IWorkingMemHandle&gt; <a class="code" href="classarmnn_1_1_loaded_network.html#a16e72675c37a8f251cf02951e222d4ab">CreateWorkingMemHandle</a>(<a class="code" href="namespacearmnn.html#a0d8160388a127c1a23b37bc88dc6e2ec">NetworkId</a> networkId);</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; </div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> <a class="code" href="classarmnn_1_1_loaded_network.html#af616683424cb40d83b5a923db7f06f11">GetInputTensorInfo</a>(<a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> layerId) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> <a class="code" href="classarmnn_1_1_loaded_network.html#a2b6b57945bc68f659e08d28c8a015e91">GetOutputTensorInfo</a>(<a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> layerId) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; </div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; std::vector&lt;ImportedInputId&gt; <a class="code" href="classarmnn_1_1_loaded_network.html#a704bd570f39deda992bccdc639640dc7">ImportInputs</a>(<span class="keyword">const</span> <a class="code" href="namespacearmnn.html#aa01bce88f89975a5a031db4cc8861527">InputTensors</a>&amp; inputTensors,</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; <a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277">MemorySource</a> forceImportMemorySource = <a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">MemorySource::Undefined</a>);</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; std::vector&lt;ImportedOutputId&gt; <a class="code" href="classarmnn_1_1_loaded_network.html#ac88d932e6e015a59551322b25796b11a">ImportOutputs</a>(<span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a8f091a512915d1cb29a4ebf13dfc53ea">OutputTensors</a>&amp; outputTensors,</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277">MemorySource</a> forceImportMemorySource = <a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">MemorySource::Undefined</a>);</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; </div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_loaded_network.html#aa792fd8b43401e3d6665110cdb0af27b">ClearImportedInputs</a>(<span class="keyword">const</span> std::vector&lt;ImportedInputId&gt; inputIds);</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_loaded_network.html#af06f742ce80985a8fbbbc028c20259b1">ClearImportedOutputs</a>(<span class="keyword">const</span> std::vector&lt;ImportedOutputId&gt; outputIds);</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;<span class="comment"> /// Single thread execution of the loaded network</span></div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> <a class="code" href="classarmnn_1_1_loaded_network.html#a87880cba8611688cc57bec8f913958e8">EnqueueWorkload</a>(<span class="keyword">const</span> <a class="code" href="namespacearmnn.html#aa01bce88f89975a5a031db4cc8861527">InputTensors</a>&amp; inputTensors, <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a8f091a512915d1cb29a4ebf13dfc53ea">OutputTensors</a>&amp; outputTensors,</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; std::vector&lt;ImportedInputId&gt; preImportedInputIds = {},</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; std::vector&lt;ImportedOutputId&gt; preImportedOutputIds = {});</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160;<span class="comment"> /// Thread safe execution of the loaded network</span></div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160;<span class="comment"></span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> <a class="code" href="classarmnn_1_1_loaded_network.html#a95b1c23f6f296a0c39383bef20fdd46a">Execute</a>(<span class="keyword">const</span> <a class="code" href="namespacearmnn.html#aa01bce88f89975a5a031db4cc8861527">InputTensors</a>&amp; inputTensors,</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a8f091a512915d1cb29a4ebf13dfc53ea">OutputTensors</a>&amp; outputTensors,</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; IWorkingMemHandle&amp; workingMemHandle,</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; std::vector&lt;ImportedInputId&gt; preImportedInputs = {},</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; std::vector&lt;ImportedOutputId&gt; preImportedOutputs = {});</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; </div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <span class="keyword">static</span> std::unique_ptr&lt;LoadedNetwork&gt; <a class="code" href="classarmnn_1_1_loaded_network.html#af75dd30cff3d42ff35ddd2b625b7e9ae">MakeLoadedNetwork</a>(std::unique_ptr&lt;IOptimizedNetwork&gt; net,</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; std::string&amp; errorMessage,</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; <span class="keyword">const</span> INetworkProperties&amp; networkProperties,</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; arm::pipe::IProfilingService* profilingService);</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; </div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <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>&#160; <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>&#160; <span class="comment">// the shared_ptr&#39;s reference counter</span></div>
<div class="line"><a name="l00087"></a><span class="lineno"><a class="line" href="classarmnn_1_1_loaded_network.html#aee8e1cb09e0d4dcbe64df111c5edd55e"> 87</a></span>&#160; <span class="keyword">const</span> std::shared_ptr&lt;IProfiler&gt;&amp; <a class="code" href="classarmnn_1_1_loaded_network.html#aee8e1cb09e0d4dcbe64df111c5edd55e">GetProfiler</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_OptimizedNetwork-&gt;GetProfiler(); }</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; </div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_loaded_network.html#aaf8558a23ae9be6e7ea165989f1fa808">FreeWorkingMemory</a>();</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; </div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_loaded_network.html#a091ea8d2d804c8902f3120fdf2a36512">RegisterDebugCallback</a>(<span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a15f3ad9b5e4e3d46b0a6dda246a7bc28">DebugCallbackFunction</a>&amp; func);</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; </div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_loaded_network.html#ae41171032a9c106c1fd4b5991045eb0b">SendNetworkStructure</a>(arm::pipe::IProfilingService&amp; profilingService);</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; </div>
<div class="line"><a name="l00095"></a><span class="lineno"><a class="line" href="classarmnn_1_1_loaded_network.html#a390c87e27deac4f51af9533053b2ee14"> 95</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_loaded_network.html#a390c87e27deac4f51af9533053b2ee14">IsAsyncEnabled</a>()</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; {</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <span class="keywordflow">return</span> m_NetworkProperties.<a class="code" href="structarmnn_1_1_i_network_properties.html#ad3ab02a7f6310b35c59ca78b509905ca">m_AsyncEnabled</a>;</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; }</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; </div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; arm::pipe::ProfilingGuid <a class="code" href="classarmnn_1_1_loaded_network.html#ad90f4f6c9360c5cb64c164b9ddcb3130">GetNetworkGuid</a>();</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; </div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160;<span class="keyword">private</span>:</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; </div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; </div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; <span class="keywordtype">void</span> AllocateWorkingMemory(</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160;#<span class="keywordflow">if</span> !defined(ARMNN_DISABLE_THREADS)</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; std::lock_guard&lt;std::mutex&gt;&amp; lock</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160;#endif</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; );</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <span class="keywordtype">void</span> AllocateAndExecuteConstantWorkloads();</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <span class="keywordtype">void</span> AllocateAndExecuteConstantWorkloadsAsync();</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; </div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; std::unordered_map&lt;LayerGuid, std::unique_ptr&lt;IWorkload&gt;&gt; m_ConstantWorkloads;</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; std::unordered_map&lt;LayerGuid, ITensorHandle*&gt; m_ConstantTensorHandles;</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; </div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; std::unique_ptr&lt;IMemoryOptimizerStrategy&gt; m_ConstantStrategy = std::make_unique&lt;SingleAxisPriorityList&gt;();</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; </div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; <a class="code" href="classarmnn_1_1_loaded_network.html">LoadedNetwork</a>(std::unique_ptr&lt;IOptimizedNetwork&gt; net,</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_i_network_properties.html">INetworkProperties</a>&amp; networkProperties,</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; arm::pipe::IProfilingService* profilingService);</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; </div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <span class="keywordtype">void</span> EnqueueInput(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_bindable_layer.html">BindableLayer</a>&amp; layer, <a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a>* tensorHandle, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; tensorInfo);</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; </div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; <span class="keywordtype">void</span> EnqueueOutput(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_bindable_layer.html">BindableLayer</a>&amp; layer, <a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a>* tensorHandle, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; tensorInfo);</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; </div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; <span class="keywordtype">void</span> EnqueueInput(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>&amp; inputTensor, <a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a>* inputTensorHandle);</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; </div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; <span class="keywordtype">void</span> ImportOutputTensor(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor.html">Tensor</a>&amp; outputTensor, <a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a>* outputTensorHandle);</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; </div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_loaded_network.html#a95b1c23f6f296a0c39383bef20fdd46a">Execute</a>(std::unique_ptr&lt;arm::pipe::TimelineUtilityMethods&gt;&amp; timelineUtils,</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; arm::pipe::ProfilingGuid inferenceGuid);</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; </div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.html">IWorkloadFactory</a>&amp; GetWorkloadFactory(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.html">Layer</a>&amp; layer) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; </div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; <span class="keyword">inline</span> <a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> ValidateImportedInputID(<a class="code" href="namespacearmnn.html#a1c5ec805688cb558465a82a8d9f56a90">ImportedInputId</a> <span class="keywordtype">id</span>);</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; <span class="keyword">inline</span> <a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> ValidateImportedOutputID(<a class="code" href="namespacearmnn.html#ac68a434f0e78e33726bfb22a39ec813f">ImportedOutputId</a> <span class="keywordtype">id</span>);</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; </div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; <span class="keywordtype">void</span> CreateMemoryProfile();</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <span class="keywordtype">void</span> CreateMemoryProfileAsync();</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; </div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; std::unique_ptr&lt;MemoryManager&gt; CreateExternalMemoryManger(</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; std::vector&lt;std::pair&lt;std::shared_ptr&lt;TensorMemory&gt;, <a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277">MemorySource</a>&gt;&gt;&amp; tensorMemory);</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; </div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <span class="keyword">using</span> <a class="code" href="namespacearmnn_1_1experimental.html#a6ecc50f3f0bfbe5e0ed1439e58ad59ef">BackendPtrMap</a> = std::unordered_map&lt;BackendId, IBackendInternalUniquePtr&gt;;</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; </div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <a class="code" href="namespacearmnn_1_1experimental.html#a6ecc50f3f0bfbe5e0ed1439e58ad59ef">BackendPtrMap</a> m_Backends;</div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; std::vector&lt;IBackendInternal::IMemoryManagerSharedPtr&gt; m_BackendMemoryMangers;</div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; </div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; <span class="keyword">using</span> WorkloadFactoryMap = std::unordered_map&lt;BackendId, IBackendInternal::IWorkloadFactoryPtr&gt;;</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; WorkloadFactoryMap m_WorkloadFactories;</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; </div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; std::unique_ptr&lt;IOptimizedNetwork&gt; m_OptimizedNetwork;</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; </div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; <a class="code" href="namespacearmnn.html#a15f53f26b8495b51d0bba3d1bc4efc80">WorkloadQueue</a> m_InputQueue;</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; <a class="code" href="namespacearmnn.html#a15f53f26b8495b51d0bba3d1bc4efc80">WorkloadQueue</a> m_WorkloadQueue;</div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; <a class="code" href="namespacearmnn.html#a15f53f26b8495b51d0bba3d1bc4efc80">WorkloadQueue</a> m_OutputQueue;</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; </div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160;<span class="preprocessor">#if !defined(ARMNN_DISABLE_THREADS)</span></div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; <span class="keyword">mutable</span> std::mutex m_WorkingMemMutex;</div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; </div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; <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>&#160; </div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; <a class="code" href="structarmnn_1_1_i_network_properties.html">INetworkProperties</a> m_NetworkProperties;</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; </div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a> m_TensorHandleFactoryRegistry;</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; </div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; <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>&#160; arm::pipe::IProfilingService* m_ProfilingService;</div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; </div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; <span class="keyword">struct </span>ImportedTensorHandlePin</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; {</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; ImportedTensorHandlePin()</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; {}</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; </div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; ImportedTensorHandlePin(<a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> layerBindingId,</div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; std::unique_ptr&lt;ITensorHandle&gt; tensorHandle)</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; : m_LayerBindingId(layerBindingId)</div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; , m_TensorHandle(<a class="code" href="namespacestd.html">std</a>::move(tensorHandle))</div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; {}</div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; </div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; ImportedTensorHandlePin(ImportedTensorHandlePin&amp;&amp;) = <span class="keywordflow">default</span>;</div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; </div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; ~ImportedTensorHandlePin()</div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; {</div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; <span class="keywordflow">if</span> (m_TensorHandle)</div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; {</div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; m_TensorHandle-&gt;Unimport();</div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; }</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; }</div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; </div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; <a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> m_LayerBindingId;</div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; std::unique_ptr&lt;ITensorHandle&gt; m_TensorHandle;</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; };</div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; </div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; std::vector&lt;ImportedTensorHandlePin&gt; m_PreImportedInputHandles;</div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; std::vector&lt;ImportedTensorHandlePin&gt; m_PreImportedOutputHandles;</div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; </div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; <a class="code" href="namespacearmnn.html#a1c5ec805688cb558465a82a8d9f56a90">ImportedInputId</a> m_CurImportedInputId = 0;</div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; <a class="code" href="namespacearmnn.html#a1c5ec805688cb558465a82a8d9f56a90">ImportedInputId</a> m_CurImportedOutputId = 0;</div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; </div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; std::unordered_map&lt;BackendId, std::vector&lt;MemBlock&gt;&gt; m_MemBlockMap;</div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; std::unordered_map&lt;BackendId, std::vector&lt;MemBin&gt;&gt; m_MemBinMap;</div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; </div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; std::vector&lt;ITensorHandle*&gt; m_Tensorhandles;</div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; </div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; std::vector&lt;std::pair&lt;std::shared_ptr&lt;TensorMemory&gt;, <a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277">MemorySource</a>&gt;&gt; m_TensorMemory;</div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; </div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; std::unique_ptr&lt;MemoryManager&gt; m_ExternalMemoryManager;</div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; </div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; std::unordered_map&lt;BackendId, bool&gt; m_SupportsExternallyManagedMemory;</div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; </div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; <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>&#160; <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>&#160; <span class="keyword">struct </span>WorkloadIndices</div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; {</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; <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>&#160; <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>&#160; };</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; </div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; <span class="keyword">struct </span>OutputWorkloadIndices</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; {</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; WorkloadIndices m_OutputSlotIndices;</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; std::vector&lt;WorkloadIndices&gt; m_InputSlotIndices;</div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; };</div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; std::unordered_map&lt;LayerBindingId, std::vector&lt;WorkloadIndices&gt;&gt; m_InputWorkloadSlotPairs;</div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; std::unordered_map&lt;LayerBindingId, OutputWorkloadIndices&gt; m_OutputWorkloadSlotPairs;</div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; std::vector&lt;bool&gt; m_IsInputImported;</div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; std::vector&lt;bool&gt; m_IsOutputImported;</div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; </div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160;};</div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; </div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160;}</div>
</div><!-- fragment --></div><!-- contents -->
</div><!-- doc-content -->
<div class="ttc" id="aclassarmnn_1_1_bindable_layer_html"><div class="ttname"><a href="classarmnn_1_1_bindable_layer.html">armnn::BindableLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00470">Layer.hpp:470</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a1c5ec805688cb558465a82a8d9f56a90"><div class="ttname"><a href="namespacearmnn.html#a1c5ec805688cb558465a82a8d9f56a90">armnn::ImportedInputId</a></div><div class="ttdeci">unsigned int ImportedInputId</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00310">Types.hpp:310</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_html"><div class="ttname"><a href="classarmnn_1_1_tensor.html">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.html#l00321">Tensor.hpp:321</a></div></div>
<div class="ttc" id="astructarmnn_1_1_i_network_properties_html_ad3ab02a7f6310b35c59ca78b509905ca"><div class="ttname"><a href="structarmnn_1_1_i_network_properties.html#ad3ab02a7f6310b35c59ca78b509905ca">armnn::INetworkProperties::m_AsyncEnabled</a></div><div class="ttdeci">const bool m_AsyncEnabled</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.html#l00059">IRuntime.hpp:59</a></div></div>
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<div class="ttc" id="aclassarmnn_1_1_loaded_network_html_a87880cba8611688cc57bec8f913958e8"><div class="ttname"><a href="classarmnn_1_1_loaded_network.html#a87880cba8611688cc57bec8f913958e8">armnn::LoadedNetwork::EnqueueWorkload</a></div><div class="ttdeci">Status EnqueueWorkload(const InputTensors &amp;inputTensors, const OutputTensors &amp;outputTensors, std::vector&lt; ImportedInputId &gt; preImportedInputIds={}, std::vector&lt; ImportedOutputId &gt; preImportedOutputIds={})</div><div class="ttdoc">Single thread execution of the loaded network.</div><div class="ttdef"><b>Definition:</b> <a href="_loaded_network_8cpp_source.html#l00872">LoadedNetwork.cpp:872</a></div></div>
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<div class="ttc" id="anamespacearmnn_html_a15f53f26b8495b51d0bba3d1bc4efc80"><div class="ttname"><a href="namespacearmnn.html#a15f53f26b8495b51d0bba3d1bc4efc80">armnn::WorkloadQueue</a></div><div class="ttdeci">std::vector&lt; std::unique_ptr&lt; IWorkload &gt; &gt; WorkloadQueue</div><div class="ttdef"><b>Definition:</b> <a href="_execution_frame_8hpp_source.html#l00013">ExecutionFrame.hpp:13</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_loaded_network_html_ae41171032a9c106c1fd4b5991045eb0b"><div class="ttname"><a href="classarmnn_1_1_loaded_network.html#ae41171032a9c106c1fd4b5991045eb0b">armnn::LoadedNetwork::SendNetworkStructure</a></div><div class="ttdeci">void SendNetworkStructure(arm::pipe::IProfilingService &amp;profilingService)</div><div class="ttdef"><b>Definition:</b> <a href="_loaded_network_8cpp_source.html#l00672">LoadedNetwork.cpp:672</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a8f091a512915d1cb29a4ebf13dfc53ea"><div class="ttname"><a href="namespacearmnn.html#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a></div><div class="ttdeci">std::vector&lt; std::pair&lt; LayerBindingId, class Tensor &gt; &gt; OutputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00395">Tensor.hpp:395</a></div></div>
<div class="ttc" id="a_tensor_handle_factory_registry_8hpp_html"><div class="ttname"><a href="_tensor_handle_factory_registry_8hpp.html">TensorHandleFactoryRegistry.hpp</a></div></div>
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<div class="ttc" id="aclassarmnn_1_1_i_workload_factory_html"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.html#l00022">WorkloadFactory.hpp:22</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ab8cf8f9fb6792e654c2d8d8382f6f01b"><div class="ttname"><a href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a></div><div class="ttdeci">int LayerBindingId</div><div class="ttdoc">Type of identifiers for bindable layers (inputs, outputs).</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00309">Types.hpp:309</a></div></div>
<div class="ttc" id="astructarmnn_1_1_i_network_properties_html"><div class="ttname"><a href="structarmnn_1_1_i_network_properties.html">armnn::INetworkProperties</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.html#l00043">IRuntime.hpp:43</a></div></div>
<div class="ttc" id="a_single_axis_priority_list_8hpp_html"><div class="ttname"><a href="_single_axis_priority_list_8hpp.html">SingleAxisPriorityList.hpp</a></div></div>
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<div class="ttc" id="aclassarmnn_1_1_loaded_network_html_af616683424cb40d83b5a923db7f06f11"><div class="ttname"><a href="classarmnn_1_1_loaded_network.html#af616683424cb40d83b5a923db7f06f11">armnn::LoadedNetwork::GetInputTensorInfo</a></div><div class="ttdeci">TensorInfo GetInputTensorInfo(LayerBindingId layerId) const</div><div class="ttdef"><b>Definition:</b> <a href="_loaded_network_8cpp_source.html#l00715">LoadedNetwork.cpp:715</a></div></div>
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<div class="ttc" id="a_tensor_8hpp_html"><div class="ttname"><a href="_tensor_8hpp.html">Tensor.hpp</a></div></div>
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<div class="ttc" id="aclassarmnn_1_1_loaded_network_html_a16e72675c37a8f251cf02951e222d4ab"><div class="ttname"><a href="classarmnn_1_1_loaded_network.html#a16e72675c37a8f251cf02951e222d4ab">armnn::LoadedNetwork::CreateWorkingMemHandle</a></div><div class="ttdeci">std::unique_ptr&lt; IWorkingMemHandle &gt; CreateWorkingMemHandle(NetworkId networkId)</div><div class="ttdoc">Create a new unique WorkingMemHandle object.</div><div class="ttdef"><b>Definition:</b> <a href="_loaded_network_8cpp_source.html#l02025">LoadedNetwork.cpp:2025</a></div></div>
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<div class="ttc" id="anamespacearmnn_html_a15f3ad9b5e4e3d46b0a6dda246a7bc28"><div class="ttname"><a href="namespacearmnn.html#a15f3ad9b5e4e3d46b0a6dda246a7bc28">armnn::DebugCallbackFunction</a></div><div class="ttdeci">std::function&lt; void(LayerGuid guid, unsigned int slotIndex, ITensorHandle *tensorHandle)&gt; 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.html#l00398">Types.hpp:398</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a14fcd7f88d11cea0a018269dca5f9277"><div class="ttname"><a href="namespacearmnn.html#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.html#l00244">Types.hpp:244</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_loaded_network_html_aee8e1cb09e0d4dcbe64df111c5edd55e"><div class="ttname"><a href="classarmnn_1_1_loaded_network.html#aee8e1cb09e0d4dcbe64df111c5edd55e">armnn::LoadedNetwork::GetProfiler</a></div><div class="ttdeci">const std::shared_ptr&lt; IProfiler &gt; &amp; GetProfiler() const</div><div class="ttdef"><b>Definition:</b> <a href="_loaded_network_8hpp_source.html#l00087">LoadedNetwork.hpp:87</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_loaded_network_html_af06f742ce80985a8fbbbc028c20259b1"><div class="ttname"><a href="classarmnn_1_1_loaded_network.html#af06f742ce80985a8fbbbc028c20259b1">armnn::LoadedNetwork::ClearImportedOutputs</a></div><div class="ttdeci">void ClearImportedOutputs(const std::vector&lt; ImportedOutputId &gt; outputIds)</div><div class="ttdef"><b>Definition:</b> <a href="_loaded_network_8cpp_source.html#l01782">LoadedNetwork.cpp:1782</a></div></div>
<div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.html#l00006">01_00_quick_start.dox:6</a></div></div>
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<div class="ttc" id="aclassarmnn_1_1_const_tensor_html"><div class="ttname"><a href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00329">Tensor.hpp:329</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_loaded_network_html_a390c87e27deac4f51af9533053b2ee14"><div class="ttname"><a href="classarmnn_1_1_loaded_network.html#a390c87e27deac4f51af9533053b2ee14">armnn::LoadedNetwork::IsAsyncEnabled</a></div><div class="ttdeci">bool IsAsyncEnabled()</div><div class="ttdef"><b>Definition:</b> <a href="_loaded_network_8hpp_source.html#l00095">LoadedNetwork.hpp:95</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1experimental_html_a6ecc50f3f0bfbe5e0ed1439e58ad59ef"><div class="ttname"><a href="namespacearmnn_1_1experimental.html#a6ecc50f3f0bfbe5e0ed1439e58ad59ef">armnn::experimental::BackendPtrMap</a></div><div class="ttdeci">std::unordered_map&lt; BackendId, IBackendInternalUniquePtr &gt; BackendPtrMap</div><div class="ttdef"><b>Definition:</b> <a href="_working_mem_handle_8hpp_source.html#l00027">WorkingMemHandle.hpp:27</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_loaded_network_html_aa792fd8b43401e3d6665110cdb0af27b"><div class="ttname"><a href="classarmnn_1_1_loaded_network.html#aa792fd8b43401e3d6665110cdb0af27b">armnn::LoadedNetwork::ClearImportedInputs</a></div><div class="ttdeci">void ClearImportedInputs(const std::vector&lt; ImportedInputId &gt; inputIds)</div><div class="ttdef"><b>Definition:</b> <a href="_loaded_network_8cpp_source.html#l01761">LoadedNetwork.cpp:1761</a></div></div>
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