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<div class="title">WorkingMemHandle.cpp</div> </div>
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<a href="_working_mem_handle_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_working_mem_handle_8hpp.xhtml">WorkingMemHandle.hpp</a>"</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="include_2armnn_2backends_2_i_memory_manager_8hpp.xhtml">armnn/backends/IMemoryManager.hpp</a>></span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="include_2armnn_2backends_2_tensor_handle_8hpp.xhtml">armnn/backends/TensorHandle.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <fmt/format.h></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> </div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> {</div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="keyword">namespace </span>experimental</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> {</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> </div><div class="line"><a name="l00018"></a><span class="lineno"><a class="line" href="classarmnn_1_1experimental_1_1_working_mem_handle.xhtml#a96d8b01c08cef8777555dc89c4afe8e8"> 18</a></span> <a class="code" href="classarmnn_1_1experimental_1_1_working_mem_handle.xhtml#af67131ba41e1e6df7fe1428bd0475b92">WorkingMemHandle::WorkingMemHandle</a>(<a class="code" href="namespacearmnn.xhtml#a0d8160388a127c1a23b37bc88dc6e2ec">NetworkId</a> networkId,</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  std::vector<InputMemDescriptorCoords> inputLayerInfo,</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  std::vector<OutputMemDescriptorCoords> outputLayerInfo,</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  std::vector<WorkingMemDescriptor> workingMemDescriptors,</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  std::unique_ptr<MemoryManager> memoryManager,</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</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="l00024"></a><span class="lineno"> 24</span>  std::vector<std::unique_ptr<ITensorHandle>> managedTensorHandles,</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  std::vector<std::unique_ptr<ITensorHandle>> unmanagedTensorHandles,</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  std::vector<std::pair<BackendId, ExecutionData>> executionDataVec,</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <a class="code" href="namespacearmnn_1_1experimental.xhtml#a6ecc50f3f0bfbe5e0ed1439e58ad59ef">BackendPtrMap</a>* backends)</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  : m_NetworkId(networkId)</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  , m_WorkingMemDescriptors(workingMemDescriptors)</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  , m_MemoryManager(<a class="code" href="namespacestd.xhtml">std</a>::move(memoryManager))</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  , m_TensorMemory(<a class="code" href="namespacestd.xhtml">std</a>::move(tensorMemory))</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  , m_ManagedTensorHandles(<a class="code" href="namespacestd.xhtml">std</a>::move(managedTensorHandles))</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  , m_UnmanagedTensorHandles(<a class="code" href="namespacestd.xhtml">std</a>::move(unmanagedTensorHandles))</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  , m_InputSize(<a class="code" href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">numeric_cast</a><DifferenceType>(inputLayerInfo.size()))</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  , m_IsAllocated(false)</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  , m_ExecutionDataVec(executionDataVec)</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  , m_Backends(backends)</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="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>& inputInfo : inputLayerInfo)</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>  m_InputValidationMap[inputInfo.m_LayerBindingId] = <span class="keyword">false</span>;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="comment">// Map the LayerBindingIds to the corresponding input ITensorHandle*</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">auto</span> memDesc = m_WorkingMemDescriptors.at(inputInfo.m_InputSlotCoords[0].first);</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* inputTensorHandle = memDesc.m_Inputs[inputInfo.m_InputSlotCoords[0].second];</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  m_InputHandleMap[inputInfo.m_LayerBindingId] = inputTensorHandle;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> </div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="comment">// For every input we need to store all locations from which that input's ITensorHandle* is read.</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="comment">// So we can, at a later point, swap in and out the ITensorHandle* at that location.</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> inputSlot : inputInfo.m_InputSlotCoords)</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  {</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.xhtml">WorkingMemDescriptor</a>& workingMemDescriptor = m_WorkingMemDescriptors.at(inputSlot.first);</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keyword">auto</span> inputPos = workingMemDescriptor.<a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>.begin();</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>  <span class="comment">// The DifferenceType of a vector can be unsigned int or signed int depending on the std implementation</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="comment">// This cast removes any conversion warnings</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  inputPos += <a class="code" href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">numeric_cast</a><DifferenceType>(inputSlot.second);</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  m_InputConnectionMap[inputInfo.m_LayerBindingId].push_back(inputPos);</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  }</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  }</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordtype">size_t</span> bindingIdCount = inputLayerInfo.size();</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>& outputInfo : outputLayerInfo)</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  {</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> bindingId : outputInfo.m_LayerBindingIds)</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  {</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  m_OutputValidationMap[bindingId] = <span class="keyword">false</span>;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="comment">// Store the outputSlot position of the tensorhandle</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keyword">auto</span> outputPos = m_WorkingMemDescriptors.at(outputInfo.m_OutputSlotCoords.first).m_Outputs.begin();</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  outputPos += <a class="code" href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">numeric_cast</a><DifferenceType>(outputInfo.m_OutputSlotCoords.second);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  m_OutputHandleMap[bindingId] = *outputPos;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  }</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  bindingIdCount += outputInfo.m_LayerBindingIds.size();</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="comment">// More than one layerBinding id means the tensorhandle is connected to more than one OutputLayer.</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="comment">// Importing in this case would likely cause unexpected behaviour, so we disallow it.</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">if</span> (outputInfo.m_LayerBindingIds.size() != 1)</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  {</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordflow">continue</span>;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  }</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> </div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="comment">// Store the inputSlot positions of the tensorhandle</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> outputSlot : outputInfo.m_InputSlotCoords)</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  {</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.xhtml">WorkingMemDescriptor</a>& workingMemDescriptor = m_WorkingMemDescriptors.at(outputSlot.first);</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> </div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keyword">auto</span> inputPos = workingMemDescriptor.<a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>.begin();</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> </div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="comment">// The DifferenceType of a vector can be unsigned int or signed int depending on the std implementation</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="comment">// This cast removes any conversion warnings</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  inputPos += <a class="code" href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">numeric_cast</a><DifferenceType>(outputSlot.second);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  m_OutputConnectionMap[outputInfo.m_LayerBindingIds[0]].push_back(inputPos);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  }</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  }</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  m_BindingIdVec = std::vector<LayerBindingId>(bindingIdCount);</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(m_UnmanagedTensorHandles);</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"><a class="line" href="classarmnn_1_1experimental_1_1_working_mem_handle.xhtml#a8518772c5d692e334a76617582b10b92"> 100</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1experimental_1_1_working_mem_handle.xhtml#a8518772c5d692e334a76617582b10b92">WorkingMemHandle::Allocate</a>()</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="keywordflow">if</span> (m_IsAllocated)</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  {</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  }</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  m_IsAllocated = <span class="keyword">true</span>;</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  m_MemoryManager->Allocate();</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="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < m_TensorMemory.size(); ++i)</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  {</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  m_ManagedTensorHandles[i]->Import(m_TensorMemory[i].first->m_Data, m_TensorMemory[i].second);</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  }</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> </div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="comment">// Assign previously allocated ExecutionData. Needs to be assigned after allocation so the void* are allocated.</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < m_ExecutionDataVec.size(); ++i)</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>  <span class="keyword">auto</span>& backend = m_Backends->at(m_ExecutionDataVec[i].first);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> </div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <a class="code" href="structarmnn_1_1experimental_1_1_execution_data.xhtml">ExecutionData</a> executionData = backend->CreateExecutionData(<a class="code" href="classarmnn_1_1experimental_1_1_working_mem_handle.xhtml#a1915a1eb2ba2554103a09de391a9f6bd">GetWorkingMemDescriptorAt</a>(i));</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  m_ExecutionDataVec[i].second = executionData;</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  }</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> }</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div><div class="line"><a name="l00125"></a><span class="lineno"><a class="line" href="classarmnn_1_1experimental_1_1_working_mem_handle.xhtml#a2688c89e6bdec61e0f483d9be6fd688c"> 125</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1experimental_1_1_working_mem_handle.xhtml#a2688c89e6bdec61e0f483d9be6fd688c">WorkingMemHandle::Free</a>()</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> {</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keywordflow">if</span> (!m_IsAllocated)</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  {</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  }</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  m_IsAllocated = <span class="keyword">false</span>;</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>  m_MemoryManager->Deallocate();</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> }</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> </div><div class="line"><a name="l00136"></a><span class="lineno"><a class="line" href="classarmnn_1_1experimental_1_1_working_mem_handle.xhtml#a7487c3835e842582920969f2663bcc30"> 136</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1experimental_1_1_working_mem_handle.xhtml#a7487c3835e842582920969f2663bcc30">WorkingMemHandle::MemSyncOutputs</a>()</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="keywordflow">for</span> (<span class="keyword">auto</span> output : m_OutputConnectionMap)</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  {</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  (*output.second[0])-><a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>(<span class="keyword">true</span>);</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  (*output.second[0])-><a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a48180ddd584de21589006d56a86d3410">Unmap</a>();</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  }</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> }</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> </div><div class="line"><a name="l00145"></a><span class="lineno"><a class="line" href="classarmnn_1_1experimental_1_1_working_mem_handle.xhtml#ab35a0f45d4b1bdad5c8e6614c7bf8d18"> 145</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1experimental_1_1_working_mem_handle.xhtml#ab35a0f45d4b1bdad5c8e6614c7bf8d18">WorkingMemHandle::ValidateBindingIds</a>()</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> {</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keyword">auto</span> resetInputValidationMap = [&]()</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="keywordflow">for</span> (<span class="keyword">auto</span>& pair: m_InputValidationMap)</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  {</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  pair.second = <span class="keyword">false</span>;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  }</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  };</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> </div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keyword">auto</span> resetOutputValidationMap = [&]()</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  {</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& pair: m_OutputValidationMap)</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  {</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  pair.second = <span class="keyword">false</span>;</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  }</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  };</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> </div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  std::for_each(m_BindingIdVec.begin(), m_BindingIdVec.begin() + m_InputSize, [&](<a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> id)</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  {</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  {</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keywordtype">bool</span>& isUsed = m_InputValidationMap.at(<span class="keywordtype">id</span>);</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keywordflow">if</span> (isUsed)</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  {</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  resetInputValidationMap();</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(fmt::format(<span class="stringliteral">"Duplicate Input LayerBindingId: {}"</span>, <span class="keywordtype">id</span>));</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>  isUsed = <span class="keyword">true</span>;</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  }</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> std::out_of_range&)</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  {</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  resetInputValidationMap();</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(fmt::format(<span class="stringliteral">"Unknown Input LayerBindingId: {}"</span>, <span class="keywordtype">id</span>));</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  }</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  });</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  resetInputValidationMap();</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> </div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  std::for_each(m_BindingIdVec.begin() + m_InputSize, m_BindingIdVec.end(), [&](<a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> id)</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  {</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  {</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keywordtype">bool</span>& isUsed = m_OutputValidationMap.at(<span class="keywordtype">id</span>);</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keywordflow">if</span> (isUsed)</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>  resetOutputValidationMap();</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(fmt::format(<span class="stringliteral">"Duplicate Output LayerBindingId: {}"</span>, <span class="keywordtype">id</span>));</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  }</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  isUsed = <span class="keyword">true</span>;</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  }</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> std::out_of_range&)</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  {</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  resetOutputValidationMap();</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(fmt::format(<span class="stringliteral">"Unknown Output LayerBindingId: {}"</span>, <span class="keywordtype">id</span>));</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  }</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  });</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  resetOutputValidationMap();</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> }</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> </div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> } <span class="comment">// end experimental namespace</span></div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> </div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> } <span class="comment">// end armnn namespace</span></div><div class="ttc" id="namespacearmnn_1_1experimental_xhtml_a6ecc50f3f0bfbe5e0ed1439e58ad59ef"><div class="ttname"><a href="namespacearmnn_1_1experimental.xhtml#a6ecc50f3f0bfbe5e0ed1439e58ad59ef">armnn::experimental::BackendPtrMap</a></div><div class="ttdeci">std::unordered_map< BackendId, IBackendInternalUniquePtr > BackendPtrMap</div><div class="ttdef"><b>Definition:</b> <a href="_working_mem_handle_8hpp_source.xhtml#l00027">WorkingMemHandle.hpp:27</a></div></div>
<div class="ttc" id="classarmnn_1_1experimental_1_1_working_mem_handle_xhtml_a1915a1eb2ba2554103a09de391a9f6bd"><div class="ttname"><a href="classarmnn_1_1experimental_1_1_working_mem_handle.xhtml#a1915a1eb2ba2554103a09de391a9f6bd">armnn::experimental::WorkingMemHandle::GetWorkingMemDescriptorAt</a></div><div class="ttdeci">WorkingMemDescriptor & GetWorkingMemDescriptorAt(unsigned int id) override</div><div class="ttdoc">Get the WorkingMemDescriptor at an index. </div><div class="ttdef"><b>Definition:</b> <a href="_working_mem_handle_8hpp_source.xhtml#l00084">WorkingMemHandle.hpp:84</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_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div>
<div class="ttc" id="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_1experimental_1_1_working_mem_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_working_mem_descriptor.xhtml">armnn::experimental::WorkingMemDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_working_mem_descriptor_8hpp_source.xhtml#l00018">WorkingMemDescriptor.hpp:18</a></div></div>
<div class="ttc" id="_working_mem_handle_8hpp_xhtml"><div class="ttname"><a href="_working_mem_handle_8hpp.xhtml">WorkingMemHandle.hpp</a></div></div>
<div class="ttc" id="structarmnn_1_1experimental_1_1_working_mem_descriptor_xhtml_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_working_mem_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">armnn::experimental::WorkingMemDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_working_mem_descriptor_8hpp_source.xhtml#l00020">WorkingMemDescriptor.hpp:20</a></div></div>
<div class="ttc" id="namespacestd_xhtml"><div class="ttname"><a href="namespacestd.xhtml">std</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_id_8hpp_source.xhtml#l00149">BackendId.hpp:149</a></div></div>
<div class="ttc" id="classarmnn_1_1experimental_1_1_working_mem_handle_xhtml_a7487c3835e842582920969f2663bcc30"><div class="ttname"><a href="classarmnn_1_1experimental_1_1_working_mem_handle.xhtml#a7487c3835e842582920969f2663bcc30">armnn::experimental::WorkingMemHandle::MemSyncOutputs</a></div><div class="ttdeci">void MemSyncOutputs()</div><div class="ttdef"><b>Definition:</b> <a href="_working_mem_handle_8cpp_source.xhtml#l00136">WorkingMemHandle.cpp:136</a></div></div>
<div class="ttc" id="classarmnn_1_1experimental_1_1_working_mem_handle_xhtml_ab35a0f45d4b1bdad5c8e6614c7bf8d18"><div class="ttname"><a href="classarmnn_1_1experimental_1_1_working_mem_handle.xhtml#ab35a0f45d4b1bdad5c8e6614c7bf8d18">armnn::experimental::WorkingMemHandle::ValidateBindingIds</a></div><div class="ttdeci">void ValidateBindingIds()</div><div class="ttdef"><b>Definition:</b> <a href="_working_mem_handle_8cpp_source.xhtml#l00145">WorkingMemHandle.cpp:145</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="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#l00027">IRuntime.hpp:27</a></div></div>
<div class="ttc" id="include_2armnn_2backends_2_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="include_2armnn_2backends_2_tensor_handle_8hpp.xhtml">TensorHandle.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1experimental_1_1_working_mem_handle_xhtml_af67131ba41e1e6df7fe1428bd0475b92"><div class="ttname"><a href="classarmnn_1_1experimental_1_1_working_mem_handle.xhtml#af67131ba41e1e6df7fe1428bd0475b92">armnn::experimental::WorkingMemHandle::WorkingMemHandle</a></div><div class="ttdeci">WorkingMemHandle(NetworkId networkId)</div><div class="ttdef"><b>Definition:</b> <a href="_working_mem_handle_8hpp_source.xhtml#l00048">WorkingMemHandle.hpp:48</a></div></div>
<div class="ttc" id="classarmnn_1_1_invalid_argument_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00080">Exceptions.hpp:80</a></div></div>
<div class="ttc" id="structarmnn_1_1experimental_1_1_execution_data_xhtml"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_execution_data.xhtml">armnn::experimental::ExecutionData</a></div><div class="ttdef"><b>Definition:</b> <a href="_execution_data_8hpp_source.xhtml#l00014">ExecutionData.hpp:14</a></div></div>
<div class="ttc" id="classarmnn_1_1experimental_1_1_working_mem_handle_xhtml_a8518772c5d692e334a76617582b10b92"><div class="ttname"><a href="classarmnn_1_1experimental_1_1_working_mem_handle.xhtml#a8518772c5d692e334a76617582b10b92">armnn::experimental::WorkingMemHandle::Allocate</a></div><div class="ttdeci">void Allocate() override</div><div class="ttdoc">Allocate the backing memory required for execution. </div><div class="ttdef"><b>Definition:</b> <a href="_working_mem_handle_8cpp_source.xhtml#l00100">WorkingMemHandle.cpp:100</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a48180ddd584de21589006d56a86d3410"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a48180ddd584de21589006d56a86d3410">armnn::LayerType::Unmap</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">armnn::LayerType::Map</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="include_2armnn_2backends_2_i_memory_manager_8hpp_xhtml"><div class="ttname"><a href="include_2armnn_2backends_2_i_memory_manager_8hpp.xhtml">IMemoryManager.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a375ca3cff9f1b005d1412dc5f3cf5b6e"><div class="ttname"><a href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a></div><div class="ttdeci">std::enable_if_t< std::is_unsigned< Source >::value &&std::is_unsigned< Dest >::value, Dest > numeric_cast(Source source)</div><div class="ttdef"><b>Definition:</b> <a href="_numeric_cast_8hpp_source.xhtml#l00035">NumericCast.hpp:35</a></div></div>
<div class="ttc" id="classarmnn_1_1experimental_1_1_working_mem_handle_xhtml_a2688c89e6bdec61e0f483d9be6fd688c"><div class="ttname"><a href="classarmnn_1_1experimental_1_1_working_mem_handle.xhtml#a2688c89e6bdec61e0f483d9be6fd688c">armnn::experimental::WorkingMemHandle::Free</a></div><div class="ttdeci">void Free() override</div><div class="ttdoc">Free the backing memory required for execution. </div><div class="ttdef"><b>Definition:</b> <a href="_working_mem_handle_8cpp_source.xhtml#l00125">WorkingMemHandle.cpp:125</a></div></div>
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