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96<div class="title">ArmnnPreparedModel.cpp</div> </div>
97</div><!--header-->
98<div class="contents">
99<a href="_armnn_prepared_model_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">//</span></div>
100<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.</span></div>
101<div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div>
102<div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div>
103<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160; </div>
104<div class="line"><a name="l00006"></a><span class="lineno"><a class="line" href="_armnn_prepared_model_8cpp.html#a7ce0df38eb467e59f209470c8f5ac4e6"> 6</a></span>&#160;<span class="preprocessor">#define LOG_TAG &quot;arm-armnn-sl&quot;</span></div>
105<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160; </div>
106<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_armnn_prepared_model_8hpp.html">ArmnnPreparedModel.hpp</a>&quot;</span></div>
107<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_canonical_utils_8hpp.html">CanonicalUtils.hpp</a>&quot;</span></div>
108<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160; </div>
109<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &lt;DefaultExecution.h&gt;</span></div>
110<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="preprocessor">#include &lt;LegacyUtils.h&gt;</span></div>
111<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#include &lt;nnapi/IBurst.h&gt;</span></div>
112<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="preprocessor">#include &lt;nnapi/IPreparedModel.h&gt;</span></div>
113<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="preprocessor">#include &lt;nnapi/Result.h&gt;</span></div>
114<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="preprocessor">#include &lt;nnapi/SharedMemory.h&gt;</span></div>
115<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="preprocessor">#include &lt;nnapi/TypeUtils.h&gt;</span></div>
116<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="preprocessor">#include &lt;nnapi/Types.h&gt;</span></div>
117<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="preprocessor">#include &lt;nnapi/Validation.h&gt;</span></div>
118<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160; </div>
119<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="preprocessor">#include &lt;memory&gt;</span></div>
120<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="preprocessor">#include &lt;tuple&gt;</span></div>
121<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="preprocessor">#include &lt;utility&gt;</span></div>
122<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="preprocessor">#include &lt;vector&gt;</span></div>
123<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; </div>
124<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;<span class="keyword">using namespace </span><a class="code" href="namespaceandroid.html">android</a>;</div>
125<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="keyword">using namespace </span><a class="code" href="namespaceandroid_1_1nn.html">android::nn</a>;</div>
126<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; </div>
127<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="keyword">static</span> <span class="keyword">const</span> Timing g_NoTiming = {};</div>
128<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; </div>
129<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="keyword">namespace </span>{</div>
130<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; </div>
131<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;<span class="keyword">using namespace </span><a class="code" href="namespacearmnn__driver.html">armnn_driver</a>;</div>
132<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; </div>
133<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;<span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> MicrosecondsDuration(android::nn::TimePoint endPoint, android::nn::TimePoint startPoint)</div>
134<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;{</div>
135<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <span class="keywordflow">return</span> <span class="keyword">static_cast&lt;</span><span class="keywordtype">unsigned</span> <span class="keywordtype">long</span><span class="keyword">&gt;</span>(std::chrono::duration_cast&lt;std::chrono::microseconds&gt;(</div>
136<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; endPoint - startPoint).count());</div>
137<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;}</div>
138<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; </div>
139<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;<span class="keywordtype">bool</span> ValidateRequestArgument(<span class="keyword">const</span> Request::Argument&amp; requestArg, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>&amp; tensorInfo)</div>
140<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;{</div>
141<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; <span class="keywordflow">if</span> (requestArg.dimensions.size() != 0)</div>
142<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; {</div>
143<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <span class="keywordflow">if</span> (requestArg.dimensions.size() != tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>())</div>
144<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; {</div>
145<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;Mismatched dimensions (request argument: &quot;</span></div>
146<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; &lt;&lt; requestArg.dimensions.size() &lt;&lt; <span class="stringliteral">&quot; expected: &quot;</span> &lt;&lt; tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div>
147<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
148<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; }</div>
149<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; </div>
150<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> d = 0; d &lt; tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); ++d)</div>
151<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; {</div>
152<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <span class="keywordflow">if</span> (requestArg.dimensions[d] != 0 &amp;&amp; requestArg.dimensions[d] != tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[d])</div>
153<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; {</div>
154<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;Mismatched dimensions &quot;</span> &lt;&lt; d</div>
155<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; &lt;&lt; <span class="stringliteral">&quot; (request argument: &quot;</span> &lt;&lt; requestArg.dimensions[d]</div>
156<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; &lt;&lt; <span class="stringliteral">&quot; expected: &quot;</span> &lt;&lt; tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[d];</div>
157<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
158<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; }</div>
159<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; }</div>
160<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; }</div>
161<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; </div>
162<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
163<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;}</div>
164<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; </div>
165<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;<a class="code" href="classarmnn_1_1_tensor.html">armnn::Tensor</a> GetTensorForRequestArgument(<span class="keyword">const</span> Request::Argument&amp; requestArg,</div>
166<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>&amp; tensorInfo,</div>
167<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <span class="keyword">const</span> std::vector&lt;::android::nn::RunTimePoolInfo&gt;&amp; requestPools)</div>
168<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;{</div>
169<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <span class="keywordflow">if</span> (!ValidateRequestArgument(requestArg, tensorInfo))</div>
170<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; {</div>
171<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor.html">armnn::Tensor</a>();</div>
172<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; }</div>
173<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; </div>
174<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <span class="keywordflow">if</span> (requestArg.lifetime == Request::Argument::LifeTime::POINTER)</div>
175<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; {</div>
176<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor.html">armnn::Tensor</a>(tensorInfo, <a class="code" href="namespacearmnn__driver.html#a915f2652854e417e26afc297f12e107c">GetMemoryFromPointer</a>(requestArg));</div>
177<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; }</div>
178<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span> (requestArg.lifetime == Request::Argument::LifeTime::POOL)</div>
179<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; {</div>
180<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor.html">armnn::Tensor</a>(tensorInfo, <a class="code" href="namespacearmnn__driver.html#a96666c2945d7fe8c34aee30a449287d5">GetMemoryFromPool</a>(requestArg.location, requestPools));</div>
181<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; }</div>
182<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor.html">armnn::Tensor</a>();</div>
183<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;}</div>
184<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; </div>
185<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160;<span class="keyword">inline</span> std::string BuildTensorName(<span class="keyword">const</span> <span class="keywordtype">char</span>* tensorNamePrefix, std::size_t index)</div>
186<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;{</div>
187<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="keywordflow">return</span> tensorNamePrefix + std::to_string(index);</div>
188<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160;}</div>
189<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; </div>
190<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160;<span class="keywordtype">bool</span> IsPointerTypeMemory(<span class="keyword">const</span> Request&amp; request)</div>
191<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160;{</div>
192<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; input : request.inputs)</div>
193<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; {</div>
194<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <span class="keywordflow">if</span> (input.lifetime != Request::Argument::LifeTime::POINTER)</div>
195<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; {</div>
196<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
197<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; }</div>
198<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; }</div>
199<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; </div>
200<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; output: request.outputs)</div>
201<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; {</div>
202<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; <span class="keywordflow">if</span> (output.lifetime != Request::Argument::LifeTime::POINTER)</div>
203<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; {</div>
204<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
205<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; }</div>
206<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; }</div>
207<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; </div>
208<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
209<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160;}</div>
210<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; </div>
211<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160;} <span class="comment">// anonymous namespace</span></div>
212<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; </div>
213<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160;<span class="keyword">using namespace </span><a class="code" href="namespaceandroid_1_1nn.html">android::nn</a>;</div>
214<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; </div>
215<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn__driver.html">armnn_driver</a></div>
216<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160;{</div>
217<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; </div>
218<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160;<span class="keywordtype">void</span> ArmnnPreparedModel::Init()</div>
219<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160;{</div>
220<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <span class="comment">// Enable profiling if required.</span></div>
221<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; m_Runtime-&gt;GetProfiler(m_NetworkId)-&gt;EnableProfiling(m_GpuProfilingEnabled);</div>
222<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160;}</div>
223<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; </div>
224<div class="line"><a name="l00126"></a><span class="lineno"><a class="line" href="classarmnn__driver_1_1_armnn_prepared_model.html#a4905d77691ee9a2e9705e90557f64c2b"> 126</a></span>&#160;ArmnnPreparedModel::ArmnnPreparedModel(<a class="code" href="namespacearmnn.html#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a> networkId,</div>
225<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <a class="code" href="classarmnn_1_1_i_runtime.html">armnn::IRuntime</a>* runtime,</div>
226<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a>&amp; model,</div>
227<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; <span class="keyword">const</span> std::string&amp; requestInputsAndOutputsDumpDir,</div>
228<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; <span class="keyword">const</span> <span class="keywordtype">bool</span> gpuProfilingEnabled,</div>
229<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; Priority priority)</div>
230<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; : m_NetworkId(networkId)</div>
231<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; , m_Runtime(runtime)</div>
232<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; , m_Model(model)</div>
233<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; , m_RequestInputsAndOutputsDumpDir(requestInputsAndOutputsDumpDir)</div>
234<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; , m_GpuProfilingEnabled(gpuProfilingEnabled)</div>
235<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; , m_ModelPriority(priority)</div>
236<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; , m_PrepareFromCache(false)</div>
237<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160;{</div>
238<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; Init();</div>
239<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160;}</div>
240<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; </div>
241<div class="line"><a name="l00143"></a><span class="lineno"><a class="line" href="classarmnn__driver_1_1_armnn_prepared_model.html#a5b6d4da9a2af5b8c583f0e646e5798c5"> 143</a></span>&#160;<a class="code" href="classarmnn__driver_1_1_armnn_prepared_model.html#a4905d77691ee9a2e9705e90557f64c2b">ArmnnPreparedModel::ArmnnPreparedModel</a>(<a class="code" href="namespacearmnn.html#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a> networkId,</div>
242<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <a class="code" href="classarmnn_1_1_i_runtime.html">armnn::IRuntime</a>* runtime,</div>
243<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; <span class="keyword">const</span> std::string&amp; requestInputsAndOutputsDumpDir,</div>
244<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <span class="keyword">const</span> <span class="keywordtype">bool</span> gpuProfilingEnabled,</div>
245<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; Priority priority,</div>
246<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <span class="keyword">const</span> <span class="keywordtype">bool</span> prepareModelFromCache)</div>
247<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; : m_NetworkId(networkId)</div>
248<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; , m_Runtime(runtime)</div>
249<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; , m_RequestInputsAndOutputsDumpDir(requestInputsAndOutputsDumpDir)</div>
250<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; , m_GpuProfilingEnabled(gpuProfilingEnabled)</div>
251<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; , m_ModelPriority(priority)</div>
252<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; , m_PrepareFromCache(prepareModelFromCache)</div>
253<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160;{</div>
254<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; Init();</div>
255<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160;}</div>
256<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; </div>
257<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; </div>
258<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160;<a class="code" href="namespacearmnn__driver.html#a1fa5070fa0d079873acaf7581de8a2ad">ErrorStatus</a> ArmnnPreparedModel::PrepareMemoryForInputs(</div>
259<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; <a class="code" href="namespacearmnn.html#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a>&amp; inputs,</div>
260<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; <span class="keyword">const</span> Request&amp; request,</div>
261<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; <span class="keyword">const</span> std::vector&lt;android::nn::RunTimePoolInfo&gt;&amp; memPools)<span class="keyword"> const</span></div>
262<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160;<span class="keyword"></span>{</div>
263<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; inputs.reserve(request.inputs.size());</div>
264<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; request.inputs.size(); i++)</div>
265<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; {</div>
266<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span>&amp; inputArg = request.inputs[i];</div>
267<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; </div>
268<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo = m_Runtime-&gt;<a class="code" href="classarmnn_1_1_i_runtime.html#a25f528b76d8116e08cddc7d4a8661ee1">GetInputTensorInfo</a>(m_NetworkId, i);</div>
269<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; <span class="comment">// inputs (of type InputTensors) is composed of a vector of ConstTensors.</span></div>
270<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; <span class="comment">// Therefore, set all TensorInfo isConstant parameters of input Tensors to true.</span></div>
271<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8ffca1e21bdfa7f945617acd606aac91">SetConstant</a>();</div>
272<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor.html">armnn::Tensor</a> inputTensor = GetTensorForRequestArgument(inputArg, inputTensorInfo, memPools);</div>
273<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; </div>
274<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; <span class="keywordflow">if</span> (inputTensor.<a class="code" href="classarmnn_1_1_base_tensor.html#aa81f67ac64f0c249e26499600c45d996">GetMemoryArea</a>() == <span class="keyword">nullptr</span>)</div>
275<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; {</div>
276<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;Cannot execute request. Error converting request input &quot;</span> &lt;&lt; i &lt;&lt; <span class="stringliteral">&quot;to tensor.&quot;</span>;</div>
277<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; <span class="keywordflow">return</span> ErrorStatus::GENERAL_FAILURE;</div>
278<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; }</div>
279<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; inputs.emplace_back(i, inputTensor);</div>
280<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; }</div>
281<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; </div>
282<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; <span class="keywordflow">return</span> ErrorStatus::NONE;</div>
283<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160;}</div>
284<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; </div>
285<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160;<a class="code" href="namespacearmnn__driver.html#a1fa5070fa0d079873acaf7581de8a2ad">ErrorStatus</a> ArmnnPreparedModel::PrepareMemoryForOutputs(</div>
286<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; <a class="code" href="namespacearmnn.html#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a>&amp; outputs,</div>
287<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; std::vector&lt;OutputShape&gt; &amp;outputShapes,</div>
288<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; <span class="keyword">const</span> Request&amp; request,</div>
289<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; <span class="keyword">const</span> std::vector&lt;android::nn::RunTimePoolInfo&gt;&amp; memPools)<span class="keyword"> const</span></div>
290<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160;<span class="keyword"></span>{</div>
291<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; outputs.reserve(request.outputs.size());</div>
292<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; request.outputs.size(); i++)</div>
293<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; {</div>
294<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; <span class="keyword">auto</span>&amp; outputArg = request.outputs[i];</div>
295<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; </div>
296<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo = m_Runtime-&gt;<a class="code" href="classarmnn_1_1_i_runtime.html#a5dccecd36bb6eda573be616face68035">GetOutputTensorInfo</a>(m_NetworkId, i);</div>
297<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; <a class="code" href="classarmnn_1_1_tensor.html">armnn::Tensor</a> outputTensor = GetTensorForRequestArgument(outputArg, outputTensorInfo, memPools);</div>
298<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; <span class="keywordflow">if</span> (outputTensor.<a class="code" href="classarmnn_1_1_base_tensor.html#aa81f67ac64f0c249e26499600c45d996">GetMemoryArea</a>() == <span class="keyword">nullptr</span>)</div>
299<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; {</div>
300<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;Cannot execute request. Error converting request output &quot;</span> &lt;&lt; i &lt;&lt; <span class="stringliteral">&quot;to tensor.&quot;</span>;</div>
301<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; <span class="keywordflow">return</span> ErrorStatus::GENERAL_FAILURE;</div>
302<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; }</div>
303<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; </div>
304<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> outputSize = outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#abcbdfb544ece4c31d0b37715ad0f3be0">GetNumBytes</a>();</div>
305<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; </div>
306<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> count = 0;</div>
307<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; std::for_each(outputArg.dimensions.begin(), outputArg.dimensions.end(), [&amp;](<span class="keyword">auto</span> dim)</div>
308<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; {</div>
309<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; if (dim != 0)</div>
310<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; {</div>
311<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; outputTensorInfo.GetShape()[count] = dim;</div>
312<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; }</div>
313<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; <span class="keywordflow">else</span></div>
314<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; {</div>
315<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; outputTensorInfo.GetShape()[count] = outputArg.dimensions.size();</div>
316<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; }</div>
317<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; </div>
318<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; count++;</div>
319<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; });</div>
320<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; </div>
321<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; outputs.emplace_back(i, outputTensor);</div>
322<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; outputShapes[i] = <a class="code" href="namespacearmnn__driver.html#a93d7282d7b5701a723304d87fcdc3a43">ComputeShape</a>(outputTensorInfo);</div>
323<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; </div>
324<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; <span class="keywordflow">if</span> (outputArg.location.length &lt; outputSize)</div>
325<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; {</div>
326<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;ArmnnPreparedModel::Execute failed outputArg.location.length &quot;</span></div>
327<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; &lt;&lt; std::to_string(outputArg.location.length).c_str()</div>
328<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; &lt;&lt; <span class="stringliteral">&quot; &lt; outputSize &quot;</span> &lt;&lt; std::to_string(outputSize).c_str();</div>
329<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; outputShapes[i].isSufficient = <span class="keyword">false</span>;</div>
330<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; <span class="keywordflow">return</span> ErrorStatus::OUTPUT_INSUFFICIENT_SIZE;</div>
331<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; }</div>
332<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; </div>
333<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; <span class="keywordflow">if</span> (outputArg.lifetime == Request::Argument::LifeTime::POOL)</div>
334<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; {</div>
335<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; <span class="keywordtype">size_t</span> bufferSize = memPools.at(outputArg.location.poolIndex).getSize();</div>
336<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160; <span class="keywordflow">if</span> (bufferSize &lt; outputSize)</div>
337<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; {</div>
338<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;ArmnnPreparedModel::Execute failed bufferSize &quot;</span></div>
339<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160; &lt;&lt; std::to_string(outputArg.location.length).c_str()</div>
340<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160; &lt;&lt; <span class="stringliteral">&quot; &lt; outputSize &quot;</span> &lt;&lt; std::to_string(outputSize).c_str();</div>
341<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; outputShapes[i].isSufficient = <span class="keyword">false</span>;</div>
342<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; <span class="keywordflow">return</span> ErrorStatus::OUTPUT_INSUFFICIENT_SIZE;</div>
343<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; }</div>
344<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; }</div>
345<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; }</div>
346<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; <span class="keywordflow">return</span> ErrorStatus::NONE;</div>
347<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160;}</div>
348<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; </div>
349<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160;<a class="code" href="namespacearmnn__driver.html#a1fa5070fa0d079873acaf7581de8a2ad">ErrorStatus</a> ArmnnPreparedModel::PrepareMemoryForIO(<a class="code" href="namespacearmnn.html#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a>&amp; inputs,</div>
350<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; <a class="code" href="namespacearmnn.html#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a>&amp; outputs,</div>
351<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; std::vector&lt;android::nn::RunTimePoolInfo&gt;&amp; memPools,</div>
352<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; <span class="keyword">const</span> Request&amp; request,</div>
353<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160; <span class="keyword">const</span> <span class="keywordtype">bool</span> pointerMemory)<span class="keyword"> const</span></div>
354<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160;<span class="keyword"></span>{</div>
355<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160; <span class="comment">//Check memory pools are not empty</span></div>
356<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160; <span class="comment">// add the inputs and outputs with their data</span></div>
357<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; <span class="keywordflow">try</span></div>
358<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160; {</div>
359<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160; <span class="keywordflow">if</span> (!pointerMemory &amp;&amp; !setRunTimePoolInfosFromMemoryPools(&amp;memPools, request.pools))</div>
360<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160; {</div>
361<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160; <span class="keywordflow">return</span> ErrorStatus::INVALID_ARGUMENT;</div>
362<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; }</div>
363<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; </div>
364<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; <span class="keywordflow">if</span> (PrepareMemoryForInputs(inputs, request, memPools) != ErrorStatus::NONE)</div>
365<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160; {</div>
366<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;Failed when preparing memory for Inputs&quot;</span>;</div>
367<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; <span class="keywordflow">return</span> ErrorStatus::GENERAL_FAILURE;</div>
368<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; }</div>
369<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160; </div>
370<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; std::vector&lt;OutputShape&gt; outputShapes(request.outputs.size());</div>
371<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; </div>
372<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; <span class="keyword">auto</span> errorStatus = PrepareMemoryForOutputs(outputs, outputShapes, request, memPools);</div>
373<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; <span class="keywordflow">if</span> (errorStatus != ErrorStatus::NONE)</div>
374<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; {</div>
375<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; <span class="keywordflow">return</span> errorStatus;</div>
376<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; }</div>
377<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; }</div>
378<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160; <span class="keywordflow">catch</span> (<a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>&amp; e)</div>
379<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160; {</div>
380<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;armnn::Exception caught while preparing for EnqueueWorkload: &quot;</span> &lt;&lt; e.<a class="code" href="classarmnn_1_1_exception.html#abf843cbb29dec939d0731e491bab6f70">what</a>();</div>
381<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160; <span class="keywordflow">return</span> ErrorStatus::GENERAL_FAILURE;</div>
382<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160; }</div>
383<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; <span class="keywordflow">catch</span> (std::exception&amp; e)</div>
384<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; {</div>
385<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160; VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;std::exception caught while preparing for EnqueueWorkload: &quot;</span> &lt;&lt; e.what();</div>
386<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; <span class="keywordflow">return</span> ErrorStatus::GENERAL_FAILURE;</div>
387<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; }</div>
388<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160; </div>
389<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160; <span class="keywordflow">return</span> ErrorStatus::NONE;</div>
390<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160;}</div>
391<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160; </div>
392<div class="line"><a name="l00294"></a><span class="lineno"><a class="line" href="classarmnn__driver_1_1_armnn_prepared_model.html#a67e5c38788f9b0152baee24e8f57bc2b"> 294</a></span>&#160;ExecutionResult&lt;std::pair&lt;std::vector&lt;OutputShape&gt;, Timing&gt;&gt; <a class="code" href="classarmnn__driver_1_1_armnn_prepared_model.html#a67e5c38788f9b0152baee24e8f57bc2b">ArmnnPreparedModel::execute</a>(</div>
393<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160; <span class="keyword">const</span> Request&amp; request,</div>
394<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160; MeasureTiming measureTiming,</div>
395<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; <span class="keyword">const</span> OptionalTimePoint&amp; deadline,</div>
396<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; <span class="keyword">const</span> OptionalDuration&amp;,</div>
397<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; <span class="keyword">const</span> std::vector&lt;android::nn::TokenValuePair&gt;&amp; hints,</div>
398<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160; <span class="keyword">const</span> std::vector&lt;android::nn::ExtensionNameAndPrefix&gt;&amp; extensionNameToPrefix)<span class="keyword"> const</span></div>
399<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160;<span class="keyword"></span>{</div>
400<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;CanonicalDriver::PreparedModel::execute()&quot;</span>;</div>
401<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160; </div>
402<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160; <a class="code" href="structarmnn__driver_1_1_canonical_execution_context.html">CanonicalExecutionContext</a> ctx;</div>
403<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160; <span class="keywordflow">if</span> (measureTiming == MeasureTiming::YES)</div>
404<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160; {</div>
405<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160; ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.html#aeb7cb4ac5b343a8eb2efd91aeee37743">measureTimings</a> = measureTiming;</div>
406<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160; ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.html#ab6f19cc463ef7a388af5de182a393ed2">driverStart</a> = Clock::now();</div>
407<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160; }</div>
408<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160; </div>
409<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160; <span class="keywordflow">if</span> (!m_PrepareFromCache)</div>
410<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160; {</div>
411<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> modelRequest = validateRequestForModel(request, m_Model);</div>
412<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160; <span class="keywordflow">if</span> (!modelRequest.ok())</div>
413<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160; {</div>
414<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160; <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::INVALID_ARGUMENT) &lt;&lt; modelRequest.error();</div>
415<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160; }</div>
416<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160; VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;ArmnnPreparedModel::execute(): &quot;</span> &lt;&lt; <a class="code" href="namespacearmnn__driver.html#a31b494d1b36f5ed7fc7556a0fbc2c17c">GetModelSummary</a>(m_Model).c_str();</div>
417<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160; }</div>
418<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>&#160; <span class="keywordflow">if</span> (hasDeadlinePassed(deadline))</div>
419<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>&#160; {</div>
420<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160; <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::MISSED_DEADLINE_PERSISTENT);</div>
421<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160; }</div>
422<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>&#160; </div>
423<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>&#160; <span class="comment">// map the memory pool into shared pointers</span></div>
424<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>&#160; <span class="comment">// use a shared memory pools vector on the heap, as it is passed to the request thread</span></div>
425<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>&#160; <span class="keyword">auto</span> memPools = std::make_shared&lt;std::vector&lt;android::nn::RunTimePoolInfo&gt;&gt;();</div>
426<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>&#160; </div>
427<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>&#160; <span class="comment">// allocate the tensors on the heap, as they are passed to the request thread</span></div>
428<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>&#160; <span class="keyword">auto</span> inputTensors = std::make_shared&lt;armnn::InputTensors&gt;();</div>
429<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>&#160; <span class="keyword">auto</span> outputTensors = std::make_shared&lt;armnn::OutputTensors&gt;();</div>
430<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>&#160; </div>
431<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>&#160; <span class="keyword">auto</span> isPointerTypeMemory = IsPointerTypeMemory(request);</div>
432<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>&#160; <a class="code" href="namespacearmnn__driver.html#a1fa5070fa0d079873acaf7581de8a2ad">ErrorStatus</a> theErrorStatus = PrepareMemoryForIO(*inputTensors,</div>
433<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>&#160; *outputTensors,</div>
434<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>&#160; *memPools,</div>
435<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>&#160; request,</div>
436<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>&#160; isPointerTypeMemory);</div>
437<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>&#160; </div>
438<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>&#160; <span class="keywordflow">switch</span>(theErrorStatus)</div>
439<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>&#160; {</div>
440<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>&#160; <span class="keywordflow">case</span> ErrorStatus::OUTPUT_INSUFFICIENT_SIZE:</div>
441<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>&#160; <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::OUTPUT_INSUFFICIENT_SIZE);</div>
442<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>&#160; <span class="keywordflow">case</span> ErrorStatus::GENERAL_FAILURE:</div>
443<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>&#160; <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::GENERAL_FAILURE);</div>
444<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>&#160; <span class="keywordflow">case</span> ErrorStatus::INVALID_ARGUMENT:</div>
445<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>&#160; <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::INVALID_ARGUMENT);</div>
446<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160; <span class="keywordflow">default</span>:</div>
447<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160; {}</div>
448<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>&#160; }</div>
449<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160; </div>
450<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>&#160; std::vector&lt;OutputShape&gt; outputShapes(outputTensors-&gt;size());</div>
451<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; outputTensors-&gt;size(); i++)</div>
452<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>&#160; {</div>
453<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>&#160; std::pair&lt;int, armnn::Tensor&gt; outputTensorPair = (*outputTensors)[i];</div>
454<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor.html">armnn::Tensor</a> outputTensor = outputTensorPair.second;</div>
455<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo = outputTensor.<a class="code" href="classarmnn_1_1_base_tensor.html#a8aeddebdcf02e1832b22203c08a6b678">GetInfo</a>();</div>
456<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>&#160; </div>
457<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>&#160; outputShapes[i] = <a class="code" href="namespacearmnn__driver.html#a93d7282d7b5701a723304d87fcdc3a43">ComputeShape</a>(outputTensorInfo);</div>
458<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>&#160; }</div>
459<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>&#160; Timing theTiming;</div>
460<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>&#160; </div>
461<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>&#160; VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;ArmnnPreparedModel::execute(...) before ExecuteGraph&quot;</span>;</div>
462<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>&#160; <span class="keyword">auto</span> errorStatus = <a class="code" href="classarmnn__driver_1_1_armnn_prepared_model.html#af62ba010a5b9f3187cfeb50db1dcad0a">ExecuteGraph</a>(memPools, *inputTensors, *outputTensors, ctx, isPointerTypeMemory);</div>
463<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>&#160; <span class="keywordflow">if</span> (errorStatus != ErrorStatus::NONE)</div>
464<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>&#160; {</div>
465<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>&#160; <span class="keywordflow">return</span> NN_ERROR(errorStatus) &lt;&lt; <span class="stringliteral">&quot;execute() failed&quot;</span>;</div>
466<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>&#160; }</div>
467<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>&#160; VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;ArmnnPreparedModel::execute(...) after ExecuteGraph&quot;</span>;</div>
468<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>&#160; </div>
469<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>&#160; <span class="keywordflow">return</span> std::make_pair(outputShapes, theTiming);</div>
470<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>&#160;}</div>
471<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>&#160; </div>
472<div class="line"><a name="l00374"></a><span class="lineno"><a class="line" href="classarmnn__driver_1_1_armnn_prepared_model.html#af62ba010a5b9f3187cfeb50db1dcad0a"> 374</a></span>&#160;<a class="code" href="namespacearmnn__driver.html#a1fa5070fa0d079873acaf7581de8a2ad">ErrorStatus</a> <a class="code" href="classarmnn__driver_1_1_armnn_prepared_model.html#af62ba010a5b9f3187cfeb50db1dcad0a">ArmnnPreparedModel::ExecuteGraph</a>(</div>
473<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>&#160; std::shared_ptr&lt;std::vector&lt;android::nn::RunTimePoolInfo&gt;&gt;&amp; pMemPools,</div>
474<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>&#160; <a class="code" href="namespacearmnn.html#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a>&amp; inputTensors,</div>
475<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>&#160; <a class="code" href="namespacearmnn.html#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a>&amp; outputTensors,</div>
476<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>&#160; <a class="code" href="structarmnn__driver_1_1_canonical_execution_context.html">CanonicalExecutionContext</a> ctx,</div>
477<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>&#160; <span class="keyword">const</span> <span class="keywordtype">bool</span> pointerMemory)<span class="keyword"> const</span></div>
478<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>&#160;<span class="keyword"></span>{</div>
479<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>&#160; VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;ArmnnPreparedModel::ExecuteGraph(...)&quot;</span>;</div>
480<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>&#160; </div>
481<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>&#160; DumpTensorsIfRequired(<span class="stringliteral">&quot;Input&quot;</span>, inputTensors);</div>
482<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>&#160; std::vector&lt;armnn::ImportedInputId&gt; importedInputIds;</div>
483<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>&#160; std::vector&lt;armnn::ImportedOutputId&gt; importedOutputIds;</div>
484<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>&#160; <span class="keywordflow">try</span></div>
485<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>&#160; {</div>
486<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>&#160; <span class="keywordflow">if</span> (ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.html#aeb7cb4ac5b343a8eb2efd91aeee37743">measureTimings</a> == MeasureTiming::YES)</div>
487<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>&#160; {</div>
488<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>&#160; ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.html#a6da5957063ca094917c6e5bfeac65898">deviceStart</a> = Clock::now();</div>
489<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>&#160; }</div>
490<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>&#160; <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a> status;</div>
491<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>&#160; VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;ArmnnPreparedModel::ExecuteGraph m_AsyncModelExecutionEnabled false&quot;</span>;</div>
492<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>&#160; importedInputIds = m_Runtime-&gt;<a class="code" href="classarmnn_1_1_i_runtime.html#ac2cb56a0d7ee6fb53e9f97e624973c19">ImportInputs</a>(m_NetworkId, inputTensors, <a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">armnn::MemorySource::Malloc</a>);</div>
493<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>&#160; <span class="keywordflow">if</span> (!importedInputIds.empty())</div>
494<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>&#160; {</div>
495<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>&#160; <span class="comment">// Some or all of the input tensors been imported. We need to remove the ones that could from</span></div>
496<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>&#160; <span class="comment">// inputTensors.</span></div>
497<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>&#160; <span class="keywordflow">for</span> (<a class="code" href="namespacearmnn.html#a1c5ec805688cb558465a82a8d9f56a90">armnn::ImportedInputId</a>&amp; importedId : importedInputIds)</div>
498<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>&#160; {</div>
499<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>&#160; inputTensors.erase(</div>
500<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>&#160; std::remove_if(</div>
501<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>&#160; inputTensors.begin(), inputTensors.end(),</div>
502<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>&#160; [&amp;importedId](std::pair&lt;armnn::LayerBindingId, class armnn::ConstTensor&gt;&amp; element) {</div>
503<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>&#160; return (element.first == static_cast&lt;int&gt;(importedId));</div>
504<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>&#160; }),</div>
505<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>&#160; inputTensors.end());</div>
506<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>&#160; }</div>
507<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>&#160; }</div>
508<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>&#160; importedOutputIds = m_Runtime-&gt;<a class="code" href="classarmnn_1_1_i_runtime.html#a7db39b06bc7f50287f54320d26df4373">ImportOutputs</a>(m_NetworkId, outputTensors, <a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">armnn::MemorySource::Malloc</a>);</div>
509<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>&#160; <span class="keywordflow">if</span> (!importedOutputIds.empty())</div>
510<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>&#160; {</div>
511<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>&#160; <span class="comment">// Some or all of the output tensors could not be imported. We need to remove the ones that could</span></div>
512<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>&#160; <span class="comment">// from outputTensors.</span></div>
513<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>&#160; <span class="keywordflow">for</span> (<a class="code" href="namespacearmnn.html#a1c5ec805688cb558465a82a8d9f56a90">armnn::ImportedInputId</a>&amp; importedId : importedOutputIds)</div>
514<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>&#160; {</div>
515<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>&#160; outputTensors.erase(</div>
516<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>&#160; std::remove_if(</div>
517<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>&#160; outputTensors.begin(), outputTensors.end(),</div>
518<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>&#160; [&amp;importedId](std::pair&lt;armnn::LayerBindingId, class armnn::Tensor&gt;&amp; element) {</div>
519<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>&#160; return (element.first == static_cast&lt;int&gt;(importedId));</div>
520<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>&#160; }),</div>
521<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>&#160; outputTensors.end());</div>
522<div class="line"><a name="l00424"></a><span class="lineno"> 424</span>&#160; }</div>
523<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>&#160; }</div>
524<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>&#160; status = m_Runtime-&gt;<a class="code" href="classarmnn_1_1_i_runtime.html#aca51209383683ab8dbe801bbfddfe0c0">EnqueueWorkload</a>(m_NetworkId,</div>
525<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>&#160; inputTensors,</div>
526<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>&#160; outputTensors,</div>
527<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>&#160; importedInputIds,</div>
528<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>&#160; importedOutputIds);</div>
529<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>&#160; </div>
530<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>&#160; <span class="keywordflow">if</span> (ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.html#aeb7cb4ac5b343a8eb2efd91aeee37743">measureTimings</a> == MeasureTiming::YES)</div>
531<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>&#160; {</div>
532<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>&#160; ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.html#ac4711bb6ab33a33529c62c2c6842a831">deviceEnd</a> = Clock::now();</div>
533<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>&#160; }</div>
534<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>&#160; <span class="keywordflow">if</span> (status != <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Status::Success</a>)</div>
535<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>&#160; {</div>
536<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>&#160; VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;ArmnnPreparedModel:ExecuteGraph EnqueueWorkload failed&quot;</span>;</div>
537<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>&#160; <span class="keywordflow">return</span> ErrorStatus::GENERAL_FAILURE;</div>
538<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>&#160; }</div>
539<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>&#160; }</div>
540<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>&#160; <span class="keywordflow">catch</span> (<a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>&amp; e)</div>
541<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>&#160; {</div>
542<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>&#160; VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;armnn:Exception caught from EnqueueWorkload: &quot;</span> &lt;&lt; e.<a class="code" href="classarmnn_1_1_exception.html#abf843cbb29dec939d0731e491bab6f70">what</a>();</div>
543<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>&#160; <span class="keywordflow">return</span> ErrorStatus::GENERAL_FAILURE;</div>
544<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>&#160; }</div>
545<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>&#160; <span class="keywordflow">catch</span> (std::exception&amp; e)</div>
546<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>&#160; {</div>
547<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>&#160; VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;std::exception caught from EnqueueWorkload: &quot;</span> &lt;&lt; e.what();</div>
548<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>&#160; <span class="keywordflow">return</span> ErrorStatus::GENERAL_FAILURE;</div>
549<div class="line"><a name="l00451"></a><span class="lineno"> 451</span>&#160; }</div>
550<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>&#160; </div>
551<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>&#160; <span class="keywordflow">if</span> (!pointerMemory &amp;&amp; (!importedInputIds.empty() || !importedOutputIds.empty()))</div>
552<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>&#160; {</div>
553<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>&#160; <a class="code" href="namespacearmnn__driver.html#a7c1c80ee0f432b6b621c40571410195a">CommitPools</a>(*pMemPools);</div>
554<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>&#160; }</div>
555<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>&#160; DumpTensorsIfRequired(<span class="stringliteral">&quot;Output&quot;</span>, outputTensors);</div>
556<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>&#160; </div>
557<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>&#160; <span class="keywordflow">if</span> (ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.html#aeb7cb4ac5b343a8eb2efd91aeee37743">measureTimings</a> == MeasureTiming::YES)</div>
558<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>&#160; {</div>
559<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>&#160; ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.html#a45f03338910173fc12dd2ac19521a742">driverEnd</a> = Clock::now();</div>
560<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>&#160; Timing timing;</div>
561<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>&#160; timing.timeOnDevice = ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.html#ac4711bb6ab33a33529c62c2c6842a831">deviceEnd</a> - ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.html#a6da5957063ca094917c6e5bfeac65898">deviceStart</a>;</div>
562<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>&#160; timing.timeInDriver = ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.html#a45f03338910173fc12dd2ac19521a742">driverEnd</a> - ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.html#ab6f19cc463ef7a388af5de182a393ed2">driverStart</a>;</div>
563<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>&#160; VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;ArmnnPreparedModel::execute timing - Device = &quot;</span></div>
564<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>&#160; &lt;&lt; timing.timeOnDevice &lt;&lt; <span class="stringliteral">&quot;Driver = &quot;</span> &lt;&lt; timing.timeInDriver;</div>
565<div class="line"><a name="l00467"></a><span class="lineno"> 467</span>&#160; }</div>
566<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>&#160; <span class="keywordflow">return</span> ErrorStatus::NONE;</div>
567<div class="line"><a name="l00469"></a><span class="lineno"> 469</span>&#160;}</div>
568<div class="line"><a name="l00470"></a><span class="lineno"> 470</span>&#160; </div>
569<div class="line"><a name="l00471"></a><span class="lineno"><a class="line" href="classarmnn__driver_1_1_armnn_prepared_model.html#ac88833eb361390437abc2a81ab43d04a"> 471</a></span>&#160;Priority <a class="code" href="classarmnn__driver_1_1_armnn_prepared_model.html#ac88833eb361390437abc2a81ab43d04a">ArmnnPreparedModel::GetModelPriority</a>()<span class="keyword"> const</span></div>
570<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>&#160;<span class="keyword"></span>{</div>
571<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>&#160; <span class="keywordflow">return</span> m_ModelPriority;</div>
572<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>&#160;}</div>
573<div class="line"><a name="l00475"></a><span class="lineno"> 475</span>&#160; </div>
574<div class="line"><a name="l00476"></a><span class="lineno"> 476</span>&#160; </div>
575<div class="line"><a name="l00477"></a><span class="lineno"><a class="line" href="classarmnn__driver_1_1_armnn_prepared_model.html#a8d70cd869c7c1eda1c5891ba7e015661"> 477</a></span>&#160;GeneralResult&lt;std::pair&lt;SyncFence, ExecuteFencedInfoCallback&gt;&gt; <a class="code" href="classarmnn__driver_1_1_armnn_prepared_model.html#a8d70cd869c7c1eda1c5891ba7e015661">ArmnnPreparedModel::executeFenced</a>(</div>
576<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>&#160; <span class="keyword">const</span> Request&amp; request,</div>
577<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>&#160; <span class="keyword">const</span> std::vector&lt;SyncFence&gt;&amp; waitFor,</div>
578<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>&#160; MeasureTiming measureTiming,</div>
579<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>&#160; <span class="keyword">const</span> OptionalTimePoint&amp; deadline,</div>
580<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>&#160; <span class="keyword">const</span> OptionalDuration&amp;,</div>
581<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>&#160; <span class="keyword">const</span> OptionalDuration&amp;,</div>
582<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>&#160; <span class="keyword">const</span> std::vector&lt;android::nn::TokenValuePair&gt;&amp; hints,</div>
583<div class="line"><a name="l00485"></a><span class="lineno"> 485</span>&#160; <span class="keyword">const</span> std::vector&lt;android::nn::ExtensionNameAndPrefix&gt;&amp; extensionNameToPrefix)<span class="keyword"> const</span></div>
584<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>&#160;<span class="keyword"></span>{</div>
585<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>&#160; VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;ArmnnPreparedModel::executeFenced()&quot;</span>;</div>
586<div class="line"><a name="l00488"></a><span class="lineno"> 488</span>&#160; </div>
587<div class="line"><a name="l00489"></a><span class="lineno"> 489</span>&#160; <span class="keywordflow">if</span> (!m_PrepareFromCache) {</div>
588<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> modelRequest = validateRequestForModel(request, m_Model);</div>
589<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>&#160; <span class="keywordflow">if</span> (!modelRequest.ok())</div>
590<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>&#160; {</div>
591<div class="line"><a name="l00493"></a><span class="lineno"> 493</span>&#160; <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::INVALID_ARGUMENT) &lt;&lt; modelRequest.error();</div>
592<div class="line"><a name="l00494"></a><span class="lineno"> 494</span>&#160; }</div>
593<div class="line"><a name="l00495"></a><span class="lineno"> 495</span>&#160; VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;ArmnnPreparedModel::executeFenced(): &quot;</span> &lt;&lt; <a class="code" href="namespacearmnn__driver.html#a31b494d1b36f5ed7fc7556a0fbc2c17c">GetModelSummary</a>(m_Model).c_str();</div>
594<div class="line"><a name="l00496"></a><span class="lineno"> 496</span>&#160; }</div>
595<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>&#160; <span class="keywordflow">if</span> (hasDeadlinePassed(deadline))</div>
596<div class="line"><a name="l00498"></a><span class="lineno"> 498</span>&#160; {</div>
597<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>&#160; <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::MISSED_DEADLINE_PERSISTENT);</div>
598<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>&#160; }</div>
599<div class="line"><a name="l00501"></a><span class="lineno"> 501</span>&#160; </div>
600<div class="line"><a name="l00502"></a><span class="lineno"> 502</span>&#160; <a class="code" href="structarmnn__driver_1_1_canonical_execution_context.html">CanonicalExecutionContext</a> ctx;</div>
601<div class="line"><a name="l00503"></a><span class="lineno"> 503</span>&#160; <span class="keywordflow">if</span> (measureTiming == MeasureTiming::YES)</div>
602<div class="line"><a name="l00504"></a><span class="lineno"> 504</span>&#160; {</div>
603<div class="line"><a name="l00505"></a><span class="lineno"> 505</span>&#160; ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.html#aeb7cb4ac5b343a8eb2efd91aeee37743">measureTimings</a> = measureTiming;</div>
604<div class="line"><a name="l00506"></a><span class="lineno"> 506</span>&#160; ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.html#ab6f19cc463ef7a388af5de182a393ed2">driverStart</a> = Clock::now();</div>
605<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>&#160; }</div>
606<div class="line"><a name="l00508"></a><span class="lineno"> 508</span>&#160; </div>
607<div class="line"><a name="l00509"></a><span class="lineno"> 509</span>&#160; <span class="comment">// Wait for the dependent events to signal</span></div>
608<div class="line"><a name="l00510"></a><span class="lineno"> 510</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>&amp; syncFence : waitFor)</div>
609<div class="line"><a name="l00511"></a><span class="lineno"> 511</span>&#160; {</div>
610<div class="line"><a name="l00512"></a><span class="lineno"> 512</span>&#160; <span class="keywordflow">if</span> (!syncFence.getSharedHandle())</div>
611<div class="line"><a name="l00513"></a><span class="lineno"> 513</span>&#160; {</div>
612<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>&#160; <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::INVALID_ARGUMENT);</div>
613<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>&#160; }</div>
614<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>&#160; <span class="keywordflow">if</span> (syncFence.syncWait({}) != SyncFence::FenceState::SIGNALED)</div>
615<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>&#160; {</div>
616<div class="line"><a name="l00518"></a><span class="lineno"> 518</span>&#160; <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::GENERAL_FAILURE) &lt;&lt; <span class="stringliteral">&quot;syncWait failed&quot;</span>;</div>
617<div class="line"><a name="l00519"></a><span class="lineno"> 519</span>&#160; }</div>
618<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>&#160; }</div>
619<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>&#160; </div>
620<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>&#160; android::nn::TimePoint fenceExecutionStart;</div>
621<div class="line"><a name="l00523"></a><span class="lineno"> 523</span>&#160; <span class="keywordflow">if</span> (measureTiming == MeasureTiming::YES)</div>
622<div class="line"><a name="l00524"></a><span class="lineno"> 524</span>&#160; {</div>
623<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>&#160; fenceExecutionStart = Clock::now();</div>
624<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>&#160; }</div>
625<div class="line"><a name="l00527"></a><span class="lineno"> 527</span>&#160; </div>
626<div class="line"><a name="l00528"></a><span class="lineno"> 528</span>&#160; <span class="comment">// map the memory pool into shared pointers</span></div>
627<div class="line"><a name="l00529"></a><span class="lineno"> 529</span>&#160; <span class="comment">// use a shared memory pools vector on the heap, as it is passed to the request thread</span></div>
628<div class="line"><a name="l00530"></a><span class="lineno"> 530</span>&#160; <span class="keyword">auto</span> memPools = std::make_shared&lt;std::vector&lt;android::nn::RunTimePoolInfo&gt;&gt;();</div>
629<div class="line"><a name="l00531"></a><span class="lineno"> 531</span>&#160; </div>
630<div class="line"><a name="l00532"></a><span class="lineno"> 532</span>&#160; <span class="comment">// allocate the tensors on the heap, as they are passed to the request thread</span></div>
631<div class="line"><a name="l00533"></a><span class="lineno"> 533</span>&#160; <span class="keyword">auto</span> inputTensors = std::make_shared&lt;armnn::InputTensors&gt;();</div>
632<div class="line"><a name="l00534"></a><span class="lineno"> 534</span>&#160; <span class="keyword">auto</span> outputTensors = std::make_shared&lt;armnn::OutputTensors&gt;();</div>
633<div class="line"><a name="l00535"></a><span class="lineno"> 535</span>&#160; </div>
634<div class="line"><a name="l00536"></a><span class="lineno"> 536</span>&#160; <span class="keyword">auto</span> isPointerTypeMemory = IsPointerTypeMemory(request);</div>
635<div class="line"><a name="l00537"></a><span class="lineno"> 537</span>&#160; <a class="code" href="namespacearmnn__driver.html#a1fa5070fa0d079873acaf7581de8a2ad">ErrorStatus</a> theErrorStatus = PrepareMemoryForIO(*inputTensors,</div>
636<div class="line"><a name="l00538"></a><span class="lineno"> 538</span>&#160; *outputTensors,</div>
637<div class="line"><a name="l00539"></a><span class="lineno"> 539</span>&#160; *memPools,</div>
638<div class="line"><a name="l00540"></a><span class="lineno"> 540</span>&#160; request,</div>
639<div class="line"><a name="l00541"></a><span class="lineno"> 541</span>&#160; isPointerTypeMemory);</div>
640<div class="line"><a name="l00542"></a><span class="lineno"> 542</span>&#160; </div>
641<div class="line"><a name="l00543"></a><span class="lineno"> 543</span>&#160; <span class="keywordflow">if</span> (theErrorStatus != ErrorStatus::NONE)</div>
642<div class="line"><a name="l00544"></a><span class="lineno"> 544</span>&#160; {</div>
643<div class="line"><a name="l00545"></a><span class="lineno"> 545</span>&#160; <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::INVALID_ARGUMENT) &lt;&lt; <span class="stringliteral">&quot;executeFenced() failed&quot;</span>;</div>
644<div class="line"><a name="l00546"></a><span class="lineno"> 546</span>&#160; }</div>
645<div class="line"><a name="l00547"></a><span class="lineno"> 547</span>&#160; </div>
646<div class="line"><a name="l00548"></a><span class="lineno"> 548</span>&#160; Timing timingSinceLaunch = {};</div>
647<div class="line"><a name="l00549"></a><span class="lineno"> 549</span>&#160; Timing timingAfterFence = {};</div>
648<div class="line"><a name="l00550"></a><span class="lineno"> 550</span>&#160; <span class="keywordflow">if</span> (measureTiming == MeasureTiming::YES)</div>
649<div class="line"><a name="l00551"></a><span class="lineno"> 551</span>&#160; {</div>
650<div class="line"><a name="l00552"></a><span class="lineno"> 552</span>&#160; timingAfterFence.timeOnDevice = ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.html#ac4711bb6ab33a33529c62c2c6842a831">deviceEnd</a> - ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.html#a6da5957063ca094917c6e5bfeac65898">deviceStart</a>;</div>
651<div class="line"><a name="l00553"></a><span class="lineno"> 553</span>&#160; timingAfterFence.timeInDriver = ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.html#a45f03338910173fc12dd2ac19521a742">driverEnd</a> - fenceExecutionStart;</div>
652<div class="line"><a name="l00554"></a><span class="lineno"> 554</span>&#160; VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;executeFenced timingSinceLaunch = &quot;</span> &lt;&lt; timingAfterFence.timeOnDevice;</div>
653<div class="line"><a name="l00555"></a><span class="lineno"> 555</span>&#160; VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;executeFenced timingAfterFence = &quot;</span> &lt;&lt; timingAfterFence.timeInDriver;</div>
654<div class="line"><a name="l00556"></a><span class="lineno"> 556</span>&#160; }</div>
655<div class="line"><a name="l00557"></a><span class="lineno"> 557</span>&#160; </div>
656<div class="line"><a name="l00558"></a><span class="lineno"> 558</span>&#160; VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;ArmnnCanonicalPreparedModel::executeFenced(...) before ExecuteGraph&quot;</span>;</div>
657<div class="line"><a name="l00559"></a><span class="lineno"> 559</span>&#160; <span class="keyword">auto</span> errorStatus = <a class="code" href="classarmnn__driver_1_1_armnn_prepared_model.html#af62ba010a5b9f3187cfeb50db1dcad0a">ExecuteGraph</a>(memPools, *inputTensors, *outputTensors, ctx, isPointerTypeMemory);</div>
658<div class="line"><a name="l00560"></a><span class="lineno"> 560</span>&#160; VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;ArmnnCanonicalPreparedModel::executeFenced(...) after ExecuteGraph&quot;</span>;</div>
659<div class="line"><a name="l00561"></a><span class="lineno"> 561</span>&#160; </div>
660<div class="line"><a name="l00562"></a><span class="lineno"> 562</span>&#160; ExecuteFencedInfoCallback armnnFencedExecutionCallback =</div>
661<div class="line"><a name="l00563"></a><span class="lineno"> 563</span>&#160; [timingSinceLaunch, timingAfterFence, errorStatus]() {</div>
662<div class="line"><a name="l00564"></a><span class="lineno"> 564</span>&#160; </div>
663<div class="line"><a name="l00565"></a><span class="lineno"> 565</span>&#160; GeneralResult&lt;std::pair&lt;Timing, Timing&gt;&gt; result;</div>
664<div class="line"><a name="l00566"></a><span class="lineno"> 566</span>&#160; </div>
665<div class="line"><a name="l00567"></a><span class="lineno"> 567</span>&#160; <span class="keywordflow">switch</span>(errorStatus)</div>
666<div class="line"><a name="l00568"></a><span class="lineno"> 568</span>&#160; {</div>
667<div class="line"><a name="l00569"></a><span class="lineno"> 569</span>&#160; <span class="keywordflow">case</span> ErrorStatus::OUTPUT_INSUFFICIENT_SIZE:</div>
668<div class="line"><a name="l00570"></a><span class="lineno"> 570</span>&#160; result.error().code = (ErrorStatus::OUTPUT_INSUFFICIENT_SIZE);</div>
669<div class="line"><a name="l00571"></a><span class="lineno"> 571</span>&#160; <span class="keywordflow">case</span> ErrorStatus::GENERAL_FAILURE:</div>
670<div class="line"><a name="l00572"></a><span class="lineno"> 572</span>&#160; result.error().code = (ErrorStatus::GENERAL_FAILURE);</div>
671<div class="line"><a name="l00573"></a><span class="lineno"> 573</span>&#160; <span class="keywordflow">case</span> ErrorStatus::INVALID_ARGUMENT:</div>
672<div class="line"><a name="l00574"></a><span class="lineno"> 574</span>&#160; result.error().code = (ErrorStatus::INVALID_ARGUMENT);</div>
673<div class="line"><a name="l00575"></a><span class="lineno"> 575</span>&#160; <span class="keywordflow">default</span>:</div>
674<div class="line"><a name="l00576"></a><span class="lineno"> 576</span>&#160; {</div>
675<div class="line"><a name="l00577"></a><span class="lineno"> 577</span>&#160; result.value() = std::make_pair(timingSinceLaunch, timingAfterFence);</div>
676<div class="line"><a name="l00578"></a><span class="lineno"> 578</span>&#160; }</div>
677<div class="line"><a name="l00579"></a><span class="lineno"> 579</span>&#160; }</div>
678<div class="line"><a name="l00580"></a><span class="lineno"> 580</span>&#160; <span class="keywordflow">return</span> result;</div>
679<div class="line"><a name="l00581"></a><span class="lineno"> 581</span>&#160; };</div>
680<div class="line"><a name="l00582"></a><span class="lineno"> 582</span>&#160; <span class="keywordflow">return</span> std::make_pair(SyncFence::createAsSignaled(), std::move(armnnFencedExecutionCallback ));</div>
681<div class="line"><a name="l00583"></a><span class="lineno"> 583</span>&#160;}</div>
682<div class="line"><a name="l00584"></a><span class="lineno"> 584</span>&#160; </div>
683<div class="line"><a name="l00585"></a><span class="lineno"><a class="line" href="classarmnn__driver_1_1_armnn_prepared_model.html#ab108fedcef5c0d766444eb2def3b7bad"> 585</a></span>&#160;GeneralResult&lt;SharedExecution&gt; <a class="code" href="classarmnn__driver_1_1_armnn_prepared_model.html#ab108fedcef5c0d766444eb2def3b7bad">ArmnnPreparedModel::createReusableExecution</a>(</div>
684<div class="line"><a name="l00586"></a><span class="lineno"> 586</span>&#160; <span class="keyword">const</span> Request&amp; request,</div>
685<div class="line"><a name="l00587"></a><span class="lineno"> 587</span>&#160; MeasureTiming measureTiming,</div>
686<div class="line"><a name="l00588"></a><span class="lineno"> 588</span>&#160; <span class="keyword">const</span> OptionalDuration&amp; loopTimeoutDuration,</div>
687<div class="line"><a name="l00589"></a><span class="lineno"> 589</span>&#160; <span class="keyword">const</span> std::vector&lt;android::nn::TokenValuePair&gt;&amp; hints,</div>
688<div class="line"><a name="l00590"></a><span class="lineno"> 590</span>&#160; <span class="keyword">const</span> std::vector&lt;android::nn::ExtensionNameAndPrefix&gt;&amp; extensionNameToPrefix)<span class="keyword"> const</span></div>
689<div class="line"><a name="l00591"></a><span class="lineno"> 591</span>&#160;<span class="keyword"></span>{</div>
690<div class="line"><a name="l00592"></a><span class="lineno"> 592</span>&#160; VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;ArmnnPreparedModel::createReusableExecution()&quot;</span>;</div>
691<div class="line"><a name="l00593"></a><span class="lineno"> 593</span>&#160; <span class="keywordflow">return</span> std::make_shared&lt;DefaultExecution&gt;(shared_from_this(),</div>
692<div class="line"><a name="l00594"></a><span class="lineno"> 594</span>&#160; request,</div>
693<div class="line"><a name="l00595"></a><span class="lineno"> 595</span>&#160; measureTiming,</div>
694<div class="line"><a name="l00596"></a><span class="lineno"> 596</span>&#160; loopTimeoutDuration);</div>
695<div class="line"><a name="l00597"></a><span class="lineno"> 597</span>&#160;}</div>
696<div class="line"><a name="l00598"></a><span class="lineno"> 598</span>&#160; </div>
697<div class="line"><a name="l00599"></a><span class="lineno"><a class="line" href="classarmnn__driver_1_1_armnn_prepared_model.html#a6d898cab83b5bb67f5b8f6a766ea245b"> 599</a></span>&#160;GeneralResult&lt;SharedBurst&gt; <a class="code" href="classarmnn__driver_1_1_armnn_prepared_model.html#a6d898cab83b5bb67f5b8f6a766ea245b">ArmnnPreparedModel::configureExecutionBurst</a>()<span class="keyword"> const</span></div>
698<div class="line"><a name="l00600"></a><span class="lineno"> 600</span>&#160;<span class="keyword"></span>{</div>
699<div class="line"><a name="l00601"></a><span class="lineno"> 601</span>&#160; <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div>
700<div class="line"><a name="l00602"></a><span class="lineno"> 602</span>&#160;}</div>
701<div class="line"><a name="l00603"></a><span class="lineno"> 603</span>&#160; </div>
702<div class="line"><a name="l00604"></a><span class="lineno"><a class="line" href="classarmnn__driver_1_1_armnn_prepared_model.html#a0481f4c1ca5608339a5688daf256a4e4"> 604</a></span>&#160;std::any <a class="code" href="classarmnn__driver_1_1_armnn_prepared_model.html#a0481f4c1ca5608339a5688daf256a4e4">ArmnnPreparedModel::getUnderlyingResource</a>()<span class="keyword"> const</span></div>
703<div class="line"><a name="l00605"></a><span class="lineno"> 605</span>&#160;<span class="keyword"></span>{</div>
704<div class="line"><a name="l00606"></a><span class="lineno"> 606</span>&#160; <span class="keywordflow">return</span> &amp;m_Model;</div>
705<div class="line"><a name="l00607"></a><span class="lineno"> 607</span>&#160;}</div>
706<div class="line"><a name="l00608"></a><span class="lineno"> 608</span>&#160; </div>
707<div class="line"><a name="l00609"></a><span class="lineno"> 609</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> TensorBindingCollection&gt;</div>
708<div class="line"><a name="l00610"></a><span class="lineno"> 610</span>&#160;<span class="keywordtype">void</span> ArmnnPreparedModel::DumpTensorsIfRequired(<span class="keywordtype">char</span> <span class="keyword">const</span>* tensorNamePrefix,</div>
709<div class="line"><a name="l00611"></a><span class="lineno"> 611</span>&#160; <span class="keyword">const</span> TensorBindingCollection&amp; tensorBindings)<span class="keyword"> const</span></div>
710<div class="line"><a name="l00612"></a><span class="lineno"> 612</span>&#160;<span class="keyword"></span>{</div>
711<div class="line"><a name="l00613"></a><span class="lineno"> 613</span>&#160; <span class="keywordflow">if</span> (!m_RequestInputsAndOutputsDumpDir.empty())</div>
712<div class="line"><a name="l00614"></a><span class="lineno"> 614</span>&#160; {</div>
713<div class="line"><a name="l00615"></a><span class="lineno"> 615</span>&#160; <span class="keyword">const</span> std::string requestName = std::to_string(m_NetworkId) + <span class="stringliteral">&quot;.dump&quot;</span>;</div>
714<div class="line"><a name="l00616"></a><span class="lineno"> 616</span>&#160; <span class="keywordflow">for</span> (std::size_t i = 0u; i &lt; tensorBindings.size(); ++i)</div>
715<div class="line"><a name="l00617"></a><span class="lineno"> 617</span>&#160; {</div>
716<div class="line"><a name="l00618"></a><span class="lineno"> 618</span>&#160; <a class="code" href="namespacearmnn__driver.html#aa25bddb175983b2d3e0965440323d789">DumpTensor</a>(m_RequestInputsAndOutputsDumpDir,</div>
717<div class="line"><a name="l00619"></a><span class="lineno"> 619</span>&#160; requestName,</div>
718<div class="line"><a name="l00620"></a><span class="lineno"> 620</span>&#160; BuildTensorName(tensorNamePrefix, i),</div>
719<div class="line"><a name="l00621"></a><span class="lineno"> 621</span>&#160; tensorBindings[i].second);</div>
720<div class="line"><a name="l00622"></a><span class="lineno"> 622</span>&#160; }</div>
721<div class="line"><a name="l00623"></a><span class="lineno"> 623</span>&#160; }</div>
722<div class="line"><a name="l00624"></a><span class="lineno"> 624</span>&#160;}</div>
723<div class="line"><a name="l00625"></a><span class="lineno"> 625</span>&#160; </div>
724<div class="line"><a name="l00626"></a><span class="lineno"><a class="line" href="classarmnn__driver_1_1_armnn_prepared_model.html#ac8ea5639172e7326168e2b73ed07e47e"> 626</a></span>&#160;<a class="code" href="classarmnn__driver_1_1_armnn_prepared_model.html#ac8ea5639172e7326168e2b73ed07e47e">ArmnnPreparedModel::~ArmnnPreparedModel</a>()</div>
725<div class="line"><a name="l00627"></a><span class="lineno"> 627</span>&#160;{</div>
726<div class="line"><a name="l00628"></a><span class="lineno"> 628</span>&#160; VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;ArmnnPreparedModel::~ArmnnPreparedModel()&quot;</span>;</div>
727<div class="line"><a name="l00629"></a><span class="lineno"> 629</span>&#160; <span class="comment">// Get a hold of the profiler used by this model.</span></div>
728<div class="line"><a name="l00630"></a><span class="lineno"> 630</span>&#160; <span class="keywordflow">if</span> (m_GpuProfilingEnabled)</div>
729<div class="line"><a name="l00631"></a><span class="lineno"> 631</span>&#160; {</div>
730<div class="line"><a name="l00632"></a><span class="lineno"> 632</span>&#160; <span class="keyword">auto</span> profiler = m_Runtime-&gt;<a class="code" href="classarmnn_1_1_i_runtime.html#af87d0743d1266e264c3197a32299f4b2">GetProfiler</a>(m_NetworkId);</div>
731<div class="line"><a name="l00633"></a><span class="lineno"> 633</span>&#160; <span class="keywordflow">if</span> (profiler)</div>
732<div class="line"><a name="l00634"></a><span class="lineno"> 634</span>&#160; {</div>
733<div class="line"><a name="l00635"></a><span class="lineno"> 635</span>&#160; <span class="comment">// Dump the profiling info to a file if required.</span></div>
734<div class="line"><a name="l00636"></a><span class="lineno"> 636</span>&#160; <a class="code" href="namespacearmnn__driver.html#aa313ae79f70102e3451d45d3387c2e46">DumpJsonProfilingIfRequired</a>(m_GpuProfilingEnabled,</div>
735<div class="line"><a name="l00637"></a><span class="lineno"> 637</span>&#160; m_RequestInputsAndOutputsDumpDir,</div>
736<div class="line"><a name="l00638"></a><span class="lineno"> 638</span>&#160; m_NetworkId,</div>
737<div class="line"><a name="l00639"></a><span class="lineno"> 639</span>&#160; profiler.get());</div>
738<div class="line"><a name="l00640"></a><span class="lineno"> 640</span>&#160; }</div>
739<div class="line"><a name="l00641"></a><span class="lineno"> 641</span>&#160; }</div>
740<div class="line"><a name="l00642"></a><span class="lineno"> 642</span>&#160; <span class="comment">// Unload the network associated with this model</span></div>
741<div class="line"><a name="l00643"></a><span class="lineno"> 643</span>&#160; m_Runtime-&gt;<a class="code" href="classarmnn_1_1_i_runtime.html#aed397991b99f485ffab9a42aece47019">UnloadNetwork</a>(m_NetworkId);</div>
742<div class="line"><a name="l00644"></a><span class="lineno"> 644</span>&#160;}</div>
743<div class="line"><a name="l00645"></a><span class="lineno"> 645</span>&#160; </div>
744<div class="line"><a name="l00646"></a><span class="lineno"><a class="line" href="classarmnn__driver_1_1_armnn_prepared_model.html#ad84aace3d1df79ad6fa37dcd952c085f"> 646</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn__driver_1_1_armnn_prepared_model.html#ad84aace3d1df79ad6fa37dcd952c085f">ArmnnPreparedModel::ExecuteWithDummyInputs</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numInputs, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutputs)<span class="keyword"> const</span></div>
745<div class="line"><a name="l00647"></a><span class="lineno"> 647</span>&#160;<span class="keyword"></span>{</div>
746<div class="line"><a name="l00648"></a><span class="lineno"> 648</span>&#160; std::vector&lt;std::vector&lt;char&gt;&gt; storage;</div>
747<div class="line"><a name="l00649"></a><span class="lineno"> 649</span>&#160; <a class="code" href="namespacearmnn.html#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a> inputTensors;</div>
748<div class="line"><a name="l00650"></a><span class="lineno"> 650</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; numInputs; i++)</div>
749<div class="line"><a name="l00651"></a><span class="lineno"> 651</span>&#160; {</div>
750<div class="line"><a name="l00652"></a><span class="lineno"> 652</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo = m_Runtime-&gt;<a class="code" href="classarmnn_1_1_i_runtime.html#a25f528b76d8116e08cddc7d4a8661ee1">GetInputTensorInfo</a>(m_NetworkId, i);</div>
751<div class="line"><a name="l00653"></a><span class="lineno"> 653</span>&#160; <span class="comment">// pInputTensors (of type InputTensors) is composed of a vector of ConstTensors.</span></div>
752<div class="line"><a name="l00654"></a><span class="lineno"> 654</span>&#160; <span class="comment">// Therefore, set all TensorInfo isConstant parameters of input Tensors to true.</span></div>
753<div class="line"><a name="l00655"></a><span class="lineno"> 655</span>&#160; inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8ffca1e21bdfa7f945617acd606aac91">SetConstant</a>();</div>
754<div class="line"><a name="l00656"></a><span class="lineno"> 656</span>&#160; storage.emplace_back(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#abcbdfb544ece4c31d0b37715ad0f3be0">GetNumBytes</a>());</div>
755<div class="line"><a name="l00657"></a><span class="lineno"> 657</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a> inputTensor(inputTensorInfo, storage.back().data());</div>
756<div class="line"><a name="l00658"></a><span class="lineno"> 658</span>&#160; </div>
757<div class="line"><a name="l00659"></a><span class="lineno"> 659</span>&#160; inputTensors.emplace_back(i, inputTensor);</div>
758<div class="line"><a name="l00660"></a><span class="lineno"> 660</span>&#160; }</div>
759<div class="line"><a name="l00661"></a><span class="lineno"> 661</span>&#160; </div>
760<div class="line"><a name="l00662"></a><span class="lineno"> 662</span>&#160; <a class="code" href="namespacearmnn.html#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a> outputTensors;</div>
761<div class="line"><a name="l00663"></a><span class="lineno"> 663</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; numOutputs; i++)</div>
762<div class="line"><a name="l00664"></a><span class="lineno"> 664</span>&#160; {</div>
763<div class="line"><a name="l00665"></a><span class="lineno"> 665</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo = m_Runtime-&gt;<a class="code" href="classarmnn_1_1_i_runtime.html#a5dccecd36bb6eda573be616face68035">GetOutputTensorInfo</a>(m_NetworkId, i);</div>
764<div class="line"><a name="l00666"></a><span class="lineno"> 666</span>&#160; storage.emplace_back(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#abcbdfb544ece4c31d0b37715ad0f3be0">GetNumBytes</a>());</div>
765<div class="line"><a name="l00667"></a><span class="lineno"> 667</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor.html">armnn::Tensor</a> outputTensor(outputTensorInfo, storage.back().data());</div>
766<div class="line"><a name="l00668"></a><span class="lineno"> 668</span>&#160; </div>
767<div class="line"><a name="l00669"></a><span class="lineno"> 669</span>&#160; outputTensors.emplace_back(i, outputTensor);</div>
768<div class="line"><a name="l00670"></a><span class="lineno"> 670</span>&#160; }</div>
769<div class="line"><a name="l00671"></a><span class="lineno"> 671</span>&#160; <a class="code" href="structarmnn__driver_1_1_canonical_execution_context.html">CanonicalExecutionContext</a> ctx;</div>
770<div class="line"><a name="l00672"></a><span class="lineno"> 672</span>&#160; ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.html#aeb7cb4ac5b343a8eb2efd91aeee37743">measureTimings</a> = MeasureTiming::NO;</div>
771<div class="line"><a name="l00673"></a><span class="lineno"> 673</span>&#160; <span class="keyword">auto</span> memPools = std::make_shared&lt;std::vector&lt;::android::nn::RunTimePoolInfo&gt;&gt;();</div>
772<div class="line"><a name="l00674"></a><span class="lineno"> 674</span>&#160; </div>
773<div class="line"><a name="l00675"></a><span class="lineno"> 675</span>&#160; <span class="keyword">auto</span> errorStatus = <a class="code" href="classarmnn__driver_1_1_armnn_prepared_model.html#af62ba010a5b9f3187cfeb50db1dcad0a">ExecuteGraph</a>(memPools,</div>
774<div class="line"><a name="l00676"></a><span class="lineno"> 676</span>&#160; inputTensors,</div>
775<div class="line"><a name="l00677"></a><span class="lineno"> 677</span>&#160; outputTensors,</div>
776<div class="line"><a name="l00678"></a><span class="lineno"> 678</span>&#160; ctx);</div>
777<div class="line"><a name="l00679"></a><span class="lineno"> 679</span>&#160; </div>
778<div class="line"><a name="l00680"></a><span class="lineno"> 680</span>&#160; <span class="keywordflow">return</span> errorStatus == ErrorStatus::NONE;</div>
779<div class="line"><a name="l00681"></a><span class="lineno"> 681</span>&#160;}</div>
780<div class="line"><a name="l00682"></a><span class="lineno"> 682</span>&#160; </div>
781<div class="line"><a name="l00683"></a><span class="lineno"> 683</span>&#160;} <span class="comment">// namespace armnn_driver</span></div>
782</div><!-- fragment --></div><!-- contents -->
783</div><!-- doc-content -->
784<div class="ttc" id="anamespacearmnn_html_a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523"><div class="ttname"><a href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">armnn::MemorySource::Malloc</a></div><div class="ttdeci">@ Malloc</div></div>
785<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>
786<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>
787<div class="ttc" id="aclassarmnn_1_1_base_tensor_html_aa81f67ac64f0c249e26499600c45d996"><div class="ttname"><a href="classarmnn_1_1_base_tensor.html#aa81f67ac64f0c249e26499600c45d996">armnn::BaseTensor::GetMemoryArea</a></div><div class="ttdeci">MemoryType GetMemoryArea() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00307">Tensor.hpp:307</a></div></div>
788<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_abcbdfb544ece4c31d0b37715ad0f3be0"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#abcbdfb544ece4c31d0b37715ad0f3be0">armnn::TensorInfo::GetNumBytes</a></div><div class="ttdeci">unsigned int GetNumBytes() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00427">Tensor.cpp:427</a></div></div>
789<div class="ttc" id="anamespacearmnn__driver_html_aa313ae79f70102e3451d45d3387c2e46"><div class="ttname"><a href="namespacearmnn__driver.html#aa313ae79f70102e3451d45d3387c2e46">armnn_driver::DumpJsonProfilingIfRequired</a></div><div class="ttdeci">void DumpJsonProfilingIfRequired(bool gpuProfilingEnabled, const std::string &amp;dumpDir, armnn::NetworkId networkId, const armnn::IProfiler *profiler)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.html#l00352">CanonicalUtils.cpp:352</a></div></div>
790<div class="ttc" id="aclassarmnn__driver_1_1_armnn_prepared_model_html_ac88833eb361390437abc2a81ab43d04a"><div class="ttname"><a href="classarmnn__driver_1_1_armnn_prepared_model.html#ac88833eb361390437abc2a81ab43d04a">armnn_driver::ArmnnPreparedModel::GetModelPriority</a></div><div class="ttdeci">Priority GetModelPriority() const</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8cpp_source.html#l00471">ArmnnPreparedModel.cpp:471</a></div></div>
791<div class="ttc" id="anamespacearmnn_html_aa01bce88f89975a5a031db4cc8861527"><div class="ttname"><a href="namespacearmnn.html#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a></div><div class="ttdeci">std::vector&lt; std::pair&lt; LayerBindingId, class ConstTensor &gt; &gt; InputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00394">Tensor.hpp:394</a></div></div>
792<div class="ttc" id="astructarmnn__driver_1_1_canonical_execution_context_html_ac4711bb6ab33a33529c62c2c6842a831"><div class="ttname"><a href="structarmnn__driver_1_1_canonical_execution_context.html#ac4711bb6ab33a33529c62c2c6842a831">armnn_driver::CanonicalExecutionContext::deviceEnd</a></div><div class="ttdeci">android::nn::TimePoint deviceEnd</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8hpp_source.html#l00036">ArmnnPreparedModel.hpp:36</a></div></div>
793<div class="ttc" id="anamespacearmnn__driver_html_a7c1c80ee0f432b6b621c40571410195a"><div class="ttname"><a href="namespacearmnn__driver.html#a7c1c80ee0f432b6b621c40571410195a">armnn_driver::CommitPools</a></div><div class="ttdeci">void CommitPools(std::vector&lt;::android::nn::RunTimePoolInfo &gt; &amp;memPools)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.html#l00615">CanonicalUtils.cpp:615</a></div></div>
794<div class="ttc" id="aclassarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00152">Tensor.hpp:152</a></div></div>
795<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00197">Tensor.hpp:197</a></div></div>
796<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>
797<div class="ttc" id="aclassarmnn__driver_1_1_armnn_prepared_model_html_a4905d77691ee9a2e9705e90557f64c2b"><div class="ttname"><a href="classarmnn__driver_1_1_armnn_prepared_model.html#a4905d77691ee9a2e9705e90557f64c2b">armnn_driver::ArmnnPreparedModel::ArmnnPreparedModel</a></div><div class="ttdeci">ArmnnPreparedModel(armnn::NetworkId networkId, armnn::IRuntime *runtime, const Model &amp;model, const std::string &amp;requestInputsAndOutputsDumpDir, const bool gpuProfilingEnabled, Priority priority=Priority::MEDIUM)</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8cpp_source.html#l00126">ArmnnPreparedModel.cpp:126</a></div></div>
798<div class="ttc" id="aclassarmnn_1_1_i_runtime_html"><div class="ttname"><a href="classarmnn_1_1_i_runtime.html">armnn::IRuntime</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.html#l00075">IRuntime.hpp:75</a></div></div>
799<div class="ttc" id="aclassarmnn_1_1_exception_html_abf843cbb29dec939d0731e491bab6f70"><div class="ttname"><a href="classarmnn_1_1_exception.html#abf843cbb29dec939d0731e491bab6f70">armnn::Exception::what</a></div><div class="ttdeci">virtual const char * what() const noexcept override</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8cpp_source.html#l00032">Exceptions.cpp:32</a></div></div>
800<div class="ttc" id="aclassarmnn_1_1_i_runtime_html_ac2cb56a0d7ee6fb53e9f97e624973c19"><div class="ttname"><a href="classarmnn_1_1_i_runtime.html#ac2cb56a0d7ee6fb53e9f97e624973c19">armnn::IRuntime::ImportInputs</a></div><div class="ttdeci">std::vector&lt; ImportedInputId &gt; ImportInputs(NetworkId networkId, const InputTensors &amp;inputTensors, MemorySource forceImportMemorySource=MemorySource::Undefined)</div><div class="ttdoc">ImportInputs separates the importing and mapping of InputTensors from network execution.</div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.html#l00092">Runtime.cpp:92</a></div></div>
801<div class="ttc" id="a_armnn_prepared_model_8hpp_html"><div class="ttname"><a href="_armnn_prepared_model_8hpp.html">ArmnnPreparedModel.hpp</a></div></div>
802<div class="ttc" id="a_canonical_utils_8hpp_html"><div class="ttname"><a href="_canonical_utils_8hpp.html">CanonicalUtils.hpp</a></div></div>
803<div class="ttc" id="anamespacearmnn_html_a0d8160388a127c1a23b37bc88dc6e2ec"><div class="ttname"><a href="namespacearmnn.html#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a></div><div class="ttdeci">int NetworkId</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.html#l00035">IRuntime.hpp:35</a></div></div>
804<div class="ttc" id="anamespacearmnn__driver_html_a93d7282d7b5701a723304d87fcdc3a43"><div class="ttname"><a href="namespacearmnn__driver.html#a93d7282d7b5701a723304d87fcdc3a43">armnn_driver::ComputeShape</a></div><div class="ttdeci">OutputShape ComputeShape(const armnn::TensorInfo &amp;info)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8hpp_source.html#l00095">CanonicalUtils.hpp:95</a></div></div>
805<div class="ttc" id="aclassarmnn__driver_1_1_armnn_prepared_model_html_a0481f4c1ca5608339a5688daf256a4e4"><div class="ttname"><a href="classarmnn__driver_1_1_armnn_prepared_model.html#a0481f4c1ca5608339a5688daf256a4e4">armnn_driver::ArmnnPreparedModel::getUnderlyingResource</a></div><div class="ttdeci">std::any getUnderlyingResource() const override</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8cpp_source.html#l00604">ArmnnPreparedModel.cpp:604</a></div></div>
806<div class="ttc" id="anamespacearmnn__driver_html_a1fa5070fa0d079873acaf7581de8a2ad"><div class="ttname"><a href="namespacearmnn__driver.html#a1fa5070fa0d079873acaf7581de8a2ad">armnn_driver::ErrorStatus</a></div><div class="ttdeci">::android::nn::ErrorStatus ErrorStatus</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.html#l00051">ConversionUtils.hpp:51</a></div></div>
807<div class="ttc" id="astructarmnn__driver_1_1_canonical_execution_context_html_a45f03338910173fc12dd2ac19521a742"><div class="ttname"><a href="structarmnn__driver_1_1_canonical_execution_context.html#a45f03338910173fc12dd2ac19521a742">armnn_driver::CanonicalExecutionContext::driverEnd</a></div><div class="ttdeci">android::nn::TimePoint driverEnd</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8hpp_source.html#l00034">ArmnnPreparedModel.hpp:34</a></div></div>
808<div class="ttc" id="anamespacearmnn__driver_html"><div class="ttname"><a href="namespacearmnn__driver.html">armnn_driver</a></div><div class="ttdoc">Helper classes.</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_device_8cpp_source.html#l00037">ArmnnDevice.cpp:37</a></div></div>
809<div class="ttc" id="anamespacearmnn__driver_html_a96666c2945d7fe8c34aee30a449287d5"><div class="ttname"><a href="namespacearmnn__driver.html#a96666c2945d7fe8c34aee30a449287d5">armnn_driver::GetMemoryFromPool</a></div><div class="ttdeci">void * GetMemoryFromPool(DataLocation location, const std::vector&lt; android::nn::RunTimePoolInfo &gt; &amp;memPools)</div><div class="ttdoc">Returns a pointer to a specific location in a pool`.</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.html#l00066">CanonicalUtils.cpp:66</a></div></div>
810<div class="ttc" id="anamespacearmnn__driver_html_a923b39ec5f83672f50289cbaf5de6798"><div class="ttname"><a href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">armnn_driver::Model</a></div><div class="ttdeci">::android::nn::Model Model</div><div class="ttdoc">Helper classes.</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.html#l00045">ConversionUtils.hpp:45</a></div></div>
811<div class="ttc" id="aclassarmnn__driver_1_1_armnn_prepared_model_html_ad84aace3d1df79ad6fa37dcd952c085f"><div class="ttname"><a href="classarmnn__driver_1_1_armnn_prepared_model.html#ad84aace3d1df79ad6fa37dcd952c085f">armnn_driver::ArmnnPreparedModel::ExecuteWithDummyInputs</a></div><div class="ttdeci">bool ExecuteWithDummyInputs(unsigned int numInputs, unsigned int numOutputs) const</div><div class="ttdoc">Executes this model with dummy inputs (e.g.</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8cpp_source.html#l00646">ArmnnPreparedModel.cpp:646</a></div></div>
812<div class="ttc" id="astructarmnn__driver_1_1_canonical_execution_context_html"><div class="ttname"><a href="structarmnn__driver_1_1_canonical_execution_context.html">armnn_driver::CanonicalExecutionContext</a></div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8hpp_source.html#l00029">ArmnnPreparedModel.hpp:29</a></div></div>
813<div class="ttc" id="aclassarmnn_1_1_i_runtime_html_a5dccecd36bb6eda573be616face68035"><div class="ttname"><a href="classarmnn_1_1_i_runtime.html#a5dccecd36bb6eda573be616face68035">armnn::IRuntime::GetOutputTensorInfo</a></div><div class="ttdeci">TensorInfo GetOutputTensorInfo(NetworkId networkId, LayerBindingId layerId) const</div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.html#l00087">Runtime.cpp:87</a></div></div>
814<div class="ttc" id="anamespacearmnn_html_a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38"><div class="ttname"><a href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Status::Success</a></div><div class="ttdeci">@ Success</div></div>
815<div class="ttc" id="aclassarmnn_1_1_exception_html"><div class="ttname"><a href="classarmnn_1_1_exception.html">armnn::Exception</a></div><div class="ttdoc">Base class for all ArmNN exceptions so that users can filter to just those.</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00046">Exceptions.hpp:46</a></div></div>
816<div class="ttc" id="anamespacearmnn__driver_html_a31b494d1b36f5ed7fc7556a0fbc2c17c"><div class="ttname"><a href="namespacearmnn__driver.html#a31b494d1b36f5ed7fc7556a0fbc2c17c">armnn_driver::GetModelSummary</a></div><div class="ttdeci">std::string GetModelSummary(const Model &amp;model)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.html#l00526">CanonicalUtils.cpp:526</a></div></div>
817<div class="ttc" id="aclassarmnn__driver_1_1_armnn_prepared_model_html_ac8ea5639172e7326168e2b73ed07e47e"><div class="ttname"><a href="classarmnn__driver_1_1_armnn_prepared_model.html#ac8ea5639172e7326168e2b73ed07e47e">armnn_driver::ArmnnPreparedModel::~ArmnnPreparedModel</a></div><div class="ttdeci">virtual ~ArmnnPreparedModel()</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8cpp_source.html#l00626">ArmnnPreparedModel.cpp:626</a></div></div>
818<div class="ttc" id="aclassarmnn_1_1_base_tensor_html_a8aeddebdcf02e1832b22203c08a6b678"><div class="ttname"><a href="classarmnn_1_1_base_tensor.html#a8aeddebdcf02e1832b22203c08a6b678">armnn::BaseTensor::GetInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00297">Tensor.hpp:297</a></div></div>
819<div class="ttc" id="aclassarmnn_1_1_i_runtime_html_af87d0743d1266e264c3197a32299f4b2"><div class="ttname"><a href="classarmnn_1_1_i_runtime.html#af87d0743d1266e264c3197a32299f4b2">armnn::IRuntime::GetProfiler</a></div><div class="ttdeci">const std::shared_ptr&lt; IProfiler &gt; GetProfiler(NetworkId networkId) const</div><div class="ttdoc">Gets the profiler corresponding to the given network id.</div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.html#l00151">Runtime.cpp:151</a></div></div>
820<div class="ttc" id="astructarmnn__driver_1_1_canonical_execution_context_html_ab6f19cc463ef7a388af5de182a393ed2"><div class="ttname"><a href="structarmnn__driver_1_1_canonical_execution_context.html#ab6f19cc463ef7a388af5de182a393ed2">armnn_driver::CanonicalExecutionContext::driverStart</a></div><div class="ttdeci">android::nn::TimePoint driverStart</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8hpp_source.html#l00033">ArmnnPreparedModel.hpp:33</a></div></div>
821<div class="ttc" id="astructarmnn__driver_1_1_canonical_execution_context_html_a6da5957063ca094917c6e5bfeac65898"><div class="ttname"><a href="structarmnn__driver_1_1_canonical_execution_context.html#a6da5957063ca094917c6e5bfeac65898">armnn_driver::CanonicalExecutionContext::deviceStart</a></div><div class="ttdeci">android::nn::TimePoint deviceStart</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8hpp_source.html#l00035">ArmnnPreparedModel.hpp:35</a></div></div>
822<div class="ttc" id="astructarmnn__driver_1_1_canonical_execution_context_html_aeb7cb4ac5b343a8eb2efd91aeee37743"><div class="ttname"><a href="structarmnn__driver_1_1_canonical_execution_context.html#aeb7cb4ac5b343a8eb2efd91aeee37743">armnn_driver::CanonicalExecutionContext::measureTimings</a></div><div class="ttdeci">::android::nn::MeasureTiming measureTimings</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8hpp_source.html#l00031">ArmnnPreparedModel.hpp:31</a></div></div>
823<div class="ttc" id="aclassarmnn_1_1_i_runtime_html_aed397991b99f485ffab9a42aece47019"><div class="ttname"><a href="classarmnn_1_1_i_runtime.html#aed397991b99f485ffab9a42aece47019">armnn::IRuntime::UnloadNetwork</a></div><div class="ttdeci">Status UnloadNetwork(NetworkId networkId)</div><div class="ttdoc">Unloads a network from the IRuntime.</div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.html#l00136">Runtime.cpp:136</a></div></div>
824<div class="ttc" id="anamespacearmnn_html_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00042">Types.hpp:42</a></div></div>
825<div class="ttc" id="aclassarmnn__driver_1_1_armnn_prepared_model_html_a67e5c38788f9b0152baee24e8f57bc2b"><div class="ttname"><a href="classarmnn__driver_1_1_armnn_prepared_model.html#a67e5c38788f9b0152baee24e8f57bc2b">armnn_driver::ArmnnPreparedModel::execute</a></div><div class="ttdeci">ExecutionResult&lt; std::pair&lt; std::vector&lt; OutputShape &gt;, Timing &gt; &gt; execute(const Request &amp;request, MeasureTiming measureTiming, const OptionalTimePoint &amp;deadline, const OptionalDuration &amp;loopTimeoutDuration, const std::vector&lt; android::nn::TokenValuePair &gt; &amp;hints, const std::vector&lt; android::nn::ExtensionNameAndPrefix &gt; &amp;extensionNameToPrefix) const override</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8cpp_source.html#l00294">ArmnnPreparedModel.cpp:294</a></div></div>
826<div class="ttc" id="anamespacearmnn__driver_html_a915f2652854e417e26afc297f12e107c"><div class="ttname"><a href="namespacearmnn__driver.html#a915f2652854e417e26afc297f12e107c">armnn_driver::GetMemoryFromPointer</a></div><div class="ttdeci">void * GetMemoryFromPointer(const Request::Argument &amp;requestArg)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.html#l00077">CanonicalUtils.cpp:77</a></div></div>
827<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00193">Tensor.hpp:193</a></div></div>
828<div class="ttc" id="anamespaceandroid_1_1nn_html"><div class="ttname"><a href="namespaceandroid_1_1nn.html">android::nn</a></div><div class="ttdef"><b>Definition:</b> <a href="support__library__service_8cpp_source.html#l00010">support_library_service.cpp:10</a></div></div>
829<div class="ttc" id="aclassarmnn__driver_1_1_armnn_prepared_model_html_a8d70cd869c7c1eda1c5891ba7e015661"><div class="ttname"><a href="classarmnn__driver_1_1_armnn_prepared_model.html#a8d70cd869c7c1eda1c5891ba7e015661">armnn_driver::ArmnnPreparedModel::executeFenced</a></div><div class="ttdeci">GeneralResult&lt; std::pair&lt; SyncFence, ExecuteFencedInfoCallback &gt; &gt; executeFenced(const Request &amp;request, const std::vector&lt; SyncFence &gt; &amp;waitFor, MeasureTiming measureTiming, const OptionalTimePoint &amp;deadline, const OptionalDuration &amp;loopTimeoutDuration, const OptionalDuration &amp;timeoutDurationAfterFence, const std::vector&lt; android::nn::TokenValuePair &gt; &amp;hints, const std::vector&lt; android::nn::ExtensionNameAndPrefix &gt; &amp;extensionNameToPrefix) const override</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8cpp_source.html#l00477">ArmnnPreparedModel.cpp:477</a></div></div>
830<div class="ttc" id="anamespacearmnn__driver_html_aa25bddb175983b2d3e0965440323d789"><div class="ttname"><a href="namespacearmnn__driver.html#aa25bddb175983b2d3e0965440323d789">armnn_driver::DumpTensor</a></div><div class="ttdeci">void DumpTensor(const std::string &amp;dumpDir, const std::string &amp;requestName, const std::string &amp;tensorName, const TensorType &amp;tensor)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.html#l00219">CanonicalUtils.cpp:219</a></div></div>
831<div class="ttc" id="aclassarmnn__driver_1_1_armnn_prepared_model_html_ab108fedcef5c0d766444eb2def3b7bad"><div class="ttname"><a href="classarmnn__driver_1_1_armnn_prepared_model.html#ab108fedcef5c0d766444eb2def3b7bad">armnn_driver::ArmnnPreparedModel::createReusableExecution</a></div><div class="ttdeci">GeneralResult&lt; android::nn::SharedExecution &gt; createReusableExecution(const Request &amp;request, MeasureTiming measureTiming, const OptionalDuration &amp;loopTimeoutDuration, const std::vector&lt; android::nn::TokenValuePair &gt; &amp;hints, const std::vector&lt; android::nn::ExtensionNameAndPrefix &gt; &amp;extensionNameToPrefix) const override</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8cpp_source.html#l00585">ArmnnPreparedModel.cpp:585</a></div></div>
832<div class="ttc" id="aclassarmnn_1_1_i_runtime_html_a25f528b76d8116e08cddc7d4a8661ee1"><div class="ttname"><a href="classarmnn_1_1_i_runtime.html#a25f528b76d8116e08cddc7d4a8661ee1">armnn::IRuntime::GetInputTensorInfo</a></div><div class="ttdeci">TensorInfo GetInputTensorInfo(NetworkId networkId, LayerBindingId layerId) const</div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.html#l00082">Runtime.cpp:82</a></div></div>
833<div class="ttc" id="aclassarmnn_1_1_i_runtime_html_aca51209383683ab8dbe801bbfddfe0c0"><div class="ttname"><a href="classarmnn_1_1_i_runtime.html#aca51209383683ab8dbe801bbfddfe0c0">armnn::IRuntime::EnqueueWorkload</a></div><div class="ttdeci">Status EnqueueWorkload(NetworkId networkId, const InputTensors &amp;inputTensors, const OutputTensors &amp;outputTensors, std::vector&lt; ImportedInputId &gt; preImportedInputIds={}, std::vector&lt; ImportedOutputId &gt; preImportedOutputIds={})</div><div class="ttdoc">Evaluates a network using input in inputTensors and outputs filled into outputTensors.</div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.html#l00113">Runtime.cpp:113</a></div></div>
834<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>
835<div class="ttc" id="aclassarmnn__driver_1_1_armnn_prepared_model_html_af62ba010a5b9f3187cfeb50db1dcad0a"><div class="ttname"><a href="classarmnn__driver_1_1_armnn_prepared_model.html#af62ba010a5b9f3187cfeb50db1dcad0a">armnn_driver::ArmnnPreparedModel::ExecuteGraph</a></div><div class="ttdeci">ErrorStatus ExecuteGraph(std::shared_ptr&lt; std::vector&lt; android::nn::RunTimePoolInfo &gt;&gt; &amp;pMemPools, armnn::InputTensors &amp;inputTensors, armnn::OutputTensors &amp;outputTensors, CanonicalExecutionContext callback, const bool pointerMemory=false) const</div><div class="ttdoc">execute the graph prepared from the request</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8cpp_source.html#l00374">ArmnnPreparedModel.cpp:374</a></div></div>
836<div class="ttc" id="aclassarmnn__driver_1_1_armnn_prepared_model_html_a6d898cab83b5bb67f5b8f6a766ea245b"><div class="ttname"><a href="classarmnn__driver_1_1_armnn_prepared_model.html#a6d898cab83b5bb67f5b8f6a766ea245b">armnn_driver::ArmnnPreparedModel::configureExecutionBurst</a></div><div class="ttdeci">GeneralResult&lt; SharedBurst &gt; configureExecutionBurst() const override</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8cpp_source.html#l00599">ArmnnPreparedModel.cpp:599</a></div></div>
837<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8ffca1e21bdfa7f945617acd606aac91"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8ffca1e21bdfa7f945617acd606aac91">armnn::TensorInfo::SetConstant</a></div><div class="ttdeci">void SetConstant(const bool IsConstant=true)</div><div class="ttdoc">Marks the data corresponding to this tensor info as constant.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00514">Tensor.cpp:514</a></div></div>
838<div class="ttc" id="aclassarmnn_1_1_i_runtime_html_a7db39b06bc7f50287f54320d26df4373"><div class="ttname"><a href="classarmnn_1_1_i_runtime.html#a7db39b06bc7f50287f54320d26df4373">armnn::IRuntime::ImportOutputs</a></div><div class="ttdeci">std::vector&lt; ImportedOutputId &gt; ImportOutputs(NetworkId networkId, const OutputTensors &amp;outputTensors, MemorySource forceImportMemorySource=MemorySource::Undefined)</div><div class="ttdoc">ImportOutputs separates the importing and mapping of OutputTensors from network execution.</div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.html#l00098">Runtime.cpp:98</a></div></div>
839<div class="ttc" id="anamespaceandroid_html"><div class="ttname"><a href="namespaceandroid.html">android</a></div><div class="ttdef"><b>Definition:</b> <a href="support__library__service_8cpp_source.html#l00010">support_library_service.cpp:10</a></div></div>
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