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94<div class="header">
95 <div class="summary">
96<a href="#nested-classes">Classes</a> &#124;
97<a href="#pub-types">Public Types</a> &#124;
98<a href="#pub-methods">Public Member Functions</a> &#124;
99<a href="#pub-static-methods">Static Public Member Functions</a> &#124;
100<a href="classarmnn_1_1_loaded_network-members.html">List of all members</a> </div>
101 <div class="headertitle">
102<div class="title">LoadedNetwork Class Reference</div> </div>
103</div><!--header-->
104<div class="contents">
105
106<p><code>#include &lt;<a class="el" href="_loaded_network_8hpp_source.html">LoadedNetwork.hpp</a>&gt;</code></p>
107<table class="memberdecls">
108<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-types"></a>
109Public Types</h2></td></tr>
110<tr class="memitem:a48fe2df41d914c38c913160956acc706"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.html#a48fe2df41d914c38c913160956acc706">WorkloadQueue</a> = std::vector&lt; std::unique_ptr&lt; <a class="el" href="classarmnn_1_1_i_workload.html">IWorkload</a> &gt; &gt;</td></tr>
111<tr class="separator:a48fe2df41d914c38c913160956acc706"><td class="memSeparator" colspan="2">&#160;</td></tr>
112</table><table class="memberdecls">
113<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
114Public Member Functions</h2></td></tr>
115<tr class="memitem:a1bf130efa381d53486c78ea417ea4db1"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.html#a1bf130efa381d53486c78ea417ea4db1">~LoadedNetwork</a> ()</td></tr>
116<tr class="separator:a1bf130efa381d53486c78ea417ea4db1"><td class="memSeparator" colspan="2">&#160;</td></tr>
117<tr class="memitem:a16e72675c37a8f251cf02951e222d4ab"><td class="memItemLeft" align="right" valign="top">std::unique_ptr&lt; <a class="el" href="classarmnn_1_1experimental_1_1_i_working_mem_handle.html">IWorkingMemHandle</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.html#a16e72675c37a8f251cf02951e222d4ab">CreateWorkingMemHandle</a> (<a class="el" href="namespacearmnn.html#a0d8160388a127c1a23b37bc88dc6e2ec">NetworkId</a> networkId)</td></tr>
118<tr class="memdesc:a16e72675c37a8f251cf02951e222d4ab"><td class="mdescLeft">&#160;</td><td class="mdescRight">Create a new unique WorkingMemHandle object. <a href="classarmnn_1_1_loaded_network.html#a16e72675c37a8f251cf02951e222d4ab">More...</a><br /></td></tr>
119<tr class="separator:a16e72675c37a8f251cf02951e222d4ab"><td class="memSeparator" colspan="2">&#160;</td></tr>
120<tr class="memitem:af616683424cb40d83b5a923db7f06f11"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.html#af616683424cb40d83b5a923db7f06f11">GetInputTensorInfo</a> (<a class="el" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> layerId) const</td></tr>
121<tr class="separator:af616683424cb40d83b5a923db7f06f11"><td class="memSeparator" colspan="2">&#160;</td></tr>
122<tr class="memitem:a2b6b57945bc68f659e08d28c8a015e91"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.html#a2b6b57945bc68f659e08d28c8a015e91">GetOutputTensorInfo</a> (<a class="el" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> layerId) const</td></tr>
123<tr class="separator:a2b6b57945bc68f659e08d28c8a015e91"><td class="memSeparator" colspan="2">&#160;</td></tr>
124<tr class="memitem:a704bd570f39deda992bccdc639640dc7"><td class="memItemLeft" align="right" valign="top">std::vector&lt; <a class="el" href="namespacearmnn.html#a1c5ec805688cb558465a82a8d9f56a90">ImportedInputId</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.html#a704bd570f39deda992bccdc639640dc7">ImportInputs</a> (const <a class="el" href="namespacearmnn.html#aa01bce88f89975a5a031db4cc8861527">InputTensors</a> &amp;inputTensors, <a class="el" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277">MemorySource</a> forceImportMemorySource=<a class="el" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">MemorySource::Undefined</a>)</td></tr>
125<tr class="separator:a704bd570f39deda992bccdc639640dc7"><td class="memSeparator" colspan="2">&#160;</td></tr>
126<tr class="memitem:ac88d932e6e015a59551322b25796b11a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; <a class="el" href="namespacearmnn.html#ac68a434f0e78e33726bfb22a39ec813f">ImportedOutputId</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.html#ac88d932e6e015a59551322b25796b11a">ImportOutputs</a> (const <a class="el" href="namespacearmnn.html#a8f091a512915d1cb29a4ebf13dfc53ea">OutputTensors</a> &amp;outputTensors, <a class="el" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277">MemorySource</a> forceImportMemorySource=<a class="el" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">MemorySource::Undefined</a>)</td></tr>
127<tr class="separator:ac88d932e6e015a59551322b25796b11a"><td class="memSeparator" colspan="2">&#160;</td></tr>
128<tr class="memitem:aa792fd8b43401e3d6665110cdb0af27b"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.html#aa792fd8b43401e3d6665110cdb0af27b">ClearImportedInputs</a> (const std::vector&lt; <a class="el" href="namespacearmnn.html#a1c5ec805688cb558465a82a8d9f56a90">ImportedInputId</a> &gt; inputIds)</td></tr>
129<tr class="separator:aa792fd8b43401e3d6665110cdb0af27b"><td class="memSeparator" colspan="2">&#160;</td></tr>
130<tr class="memitem:af06f742ce80985a8fbbbc028c20259b1"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.html#af06f742ce80985a8fbbbc028c20259b1">ClearImportedOutputs</a> (const std::vector&lt; <a class="el" href="namespacearmnn.html#ac68a434f0e78e33726bfb22a39ec813f">ImportedOutputId</a> &gt; outputIds)</td></tr>
131<tr class="separator:af06f742ce80985a8fbbbc028c20259b1"><td class="memSeparator" colspan="2">&#160;</td></tr>
132<tr class="memitem:a87880cba8611688cc57bec8f913958e8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.html#a87880cba8611688cc57bec8f913958e8">EnqueueWorkload</a> (const <a class="el" href="namespacearmnn.html#aa01bce88f89975a5a031db4cc8861527">InputTensors</a> &amp;inputTensors, const <a class="el" href="namespacearmnn.html#a8f091a512915d1cb29a4ebf13dfc53ea">OutputTensors</a> &amp;outputTensors, std::vector&lt; <a class="el" href="namespacearmnn.html#a1c5ec805688cb558465a82a8d9f56a90">ImportedInputId</a> &gt; preImportedInputIds={}, std::vector&lt; <a class="el" href="namespacearmnn.html#ac68a434f0e78e33726bfb22a39ec813f">ImportedOutputId</a> &gt; preImportedOutputIds={})</td></tr>
133<tr class="memdesc:a87880cba8611688cc57bec8f913958e8"><td class="mdescLeft">&#160;</td><td class="mdescRight">Single thread execution of the loaded network. <a href="classarmnn_1_1_loaded_network.html#a87880cba8611688cc57bec8f913958e8">More...</a><br /></td></tr>
134<tr class="separator:a87880cba8611688cc57bec8f913958e8"><td class="memSeparator" colspan="2">&#160;</td></tr>
135<tr class="memitem:a95b1c23f6f296a0c39383bef20fdd46a"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.html#a95b1c23f6f296a0c39383bef20fdd46a">Execute</a> (const <a class="el" href="namespacearmnn.html#aa01bce88f89975a5a031db4cc8861527">InputTensors</a> &amp;inputTensors, const <a class="el" href="namespacearmnn.html#a8f091a512915d1cb29a4ebf13dfc53ea">OutputTensors</a> &amp;outputTensors, <a class="el" href="classarmnn_1_1experimental_1_1_i_working_mem_handle.html">IWorkingMemHandle</a> &amp;workingMemHandle, std::vector&lt; <a class="el" href="namespacearmnn.html#a1c5ec805688cb558465a82a8d9f56a90">ImportedInputId</a> &gt; preImportedInputs={}, std::vector&lt; <a class="el" href="namespacearmnn.html#ac68a434f0e78e33726bfb22a39ec813f">ImportedOutputId</a> &gt; preImportedOutputs={})</td></tr>
136<tr class="memdesc:a95b1c23f6f296a0c39383bef20fdd46a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Thread safe execution of the loaded network. <a href="classarmnn_1_1_loaded_network.html#a95b1c23f6f296a0c39383bef20fdd46a">More...</a><br /></td></tr>
137<tr class="separator:a95b1c23f6f296a0c39383bef20fdd46a"><td class="memSeparator" colspan="2">&#160;</td></tr>
138<tr class="memitem:aee8e1cb09e0d4dcbe64df111c5edd55e"><td class="memItemLeft" align="right" valign="top">const std::shared_ptr&lt; <a class="el" href="classarmnn_1_1_i_profiler.html">IProfiler</a> &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.html#aee8e1cb09e0d4dcbe64df111c5edd55e">GetProfiler</a> () const</td></tr>
139<tr class="separator:aee8e1cb09e0d4dcbe64df111c5edd55e"><td class="memSeparator" colspan="2">&#160;</td></tr>
140<tr class="memitem:aaf8558a23ae9be6e7ea165989f1fa808"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.html#aaf8558a23ae9be6e7ea165989f1fa808">FreeWorkingMemory</a> ()</td></tr>
141<tr class="separator:aaf8558a23ae9be6e7ea165989f1fa808"><td class="memSeparator" colspan="2">&#160;</td></tr>
142<tr class="memitem:a091ea8d2d804c8902f3120fdf2a36512"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.html#a091ea8d2d804c8902f3120fdf2a36512">RegisterDebugCallback</a> (const <a class="el" href="namespacearmnn.html#a15f3ad9b5e4e3d46b0a6dda246a7bc28">DebugCallbackFunction</a> &amp;func)</td></tr>
143<tr class="separator:a091ea8d2d804c8902f3120fdf2a36512"><td class="memSeparator" colspan="2">&#160;</td></tr>
144<tr class="memitem:ae41171032a9c106c1fd4b5991045eb0b"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.html#ae41171032a9c106c1fd4b5991045eb0b">SendNetworkStructure</a> (arm::pipe::IProfilingService &amp;profilingService)</td></tr>
145<tr class="separator:ae41171032a9c106c1fd4b5991045eb0b"><td class="memSeparator" colspan="2">&#160;</td></tr>
146<tr class="memitem:a390c87e27deac4f51af9533053b2ee14"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.html#a390c87e27deac4f51af9533053b2ee14">IsAsyncEnabled</a> ()</td></tr>
147<tr class="separator:a390c87e27deac4f51af9533053b2ee14"><td class="memSeparator" colspan="2">&#160;</td></tr>
148<tr class="memitem:ad90f4f6c9360c5cb64c164b9ddcb3130"><td class="memItemLeft" align="right" valign="top">arm::pipe::ProfilingGuid&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.html#ad90f4f6c9360c5cb64c164b9ddcb3130">GetNetworkGuid</a> ()</td></tr>
149<tr class="separator:ad90f4f6c9360c5cb64c164b9ddcb3130"><td class="memSeparator" colspan="2">&#160;</td></tr>
150</table><table class="memberdecls">
151<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-methods"></a>
152Static Public Member Functions</h2></td></tr>
153<tr class="memitem:af75dd30cff3d42ff35ddd2b625b7e9ae"><td class="memItemLeft" align="right" valign="top">static std::unique_ptr&lt; <a class="el" href="classarmnn_1_1_loaded_network.html">LoadedNetwork</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.html#af75dd30cff3d42ff35ddd2b625b7e9ae">MakeLoadedNetwork</a> (std::unique_ptr&lt; <a class="el" href="classarmnn_1_1_i_optimized_network.html">IOptimizedNetwork</a> &gt; net, std::string &amp;errorMessage, const <a class="el" href="structarmnn_1_1_i_network_properties.html">INetworkProperties</a> &amp;networkProperties, arm::pipe::IProfilingService *profilingService)</td></tr>
154<tr class="separator:af75dd30cff3d42ff35ddd2b625b7e9ae"><td class="memSeparator" colspan="2">&#160;</td></tr>
155</table>
156<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
157<div class="textblock">
158<p class="definition">Definition at line <a class="el" href="_loaded_network_8hpp_source.html#l00042">42</a> of file <a class="el" href="_loaded_network_8hpp_source.html">LoadedNetwork.hpp</a>.</p>
159</div><h2 class="groupheader">Member Typedef Documentation</h2>
160<a id="a48fe2df41d914c38c913160956acc706"></a>
161<h2 class="memtitle"><span class="permalink"><a href="#a48fe2df41d914c38c913160956acc706">&#9670;&nbsp;</a></span>WorkloadQueue</h2>
162
163<div class="memitem">
164<div class="memproto">
165 <table class="memname">
166 <tr>
167 <td class="memname">using <a class="el" href="classarmnn_1_1_loaded_network.html#a48fe2df41d914c38c913160956acc706">WorkloadQueue</a> = std::vector&lt;std::unique_ptr&lt;<a class="el" href="classarmnn_1_1_i_workload.html">IWorkload</a>&gt; &gt;</td>
168 </tr>
169 </table>
170</div><div class="memdoc">
171
172<p class="definition">Definition at line <a class="el" href="_loaded_network_8hpp_source.html#l00045">45</a> of file <a class="el" href="_loaded_network_8hpp_source.html">LoadedNetwork.hpp</a>.</p>
173
174</div>
175</div>
176<h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
177<a id="a1bf130efa381d53486c78ea417ea4db1"></a>
178<h2 class="memtitle"><span class="permalink"><a href="#a1bf130efa381d53486c78ea417ea4db1">&#9670;&nbsp;</a></span>~LoadedNetwork()</h2>
179
180<div class="memitem">
181<div class="memproto">
182<table class="mlabels">
183 <tr>
184 <td class="mlabels-left">
185 <table class="memname">
186 <tr>
187 <td class="memname">~<a class="el" href="classarmnn_1_1_loaded_network.html">LoadedNetwork</a> </td>
188 <td>(</td>
189 <td class="paramname"></td><td>)</td>
190 <td></td>
191 </tr>
192 </table>
193 </td>
194 <td class="mlabels-right">
195<span class="mlabels"><span class="mlabel">inline</span></span> </td>
196 </tr>
197</table>
198</div><div class="memdoc">
199
200<p class="definition">Definition at line <a class="el" href="_loaded_network_8hpp_source.html#l00047">47</a> of file <a class="el" href="_loaded_network_8hpp_source.html">LoadedNetwork.hpp</a>.</p>
201<div class="fragment"><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; {</div>
202<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <a class="code" href="classarmnn_1_1_loaded_network.html#aaf8558a23ae9be6e7ea165989f1fa808">FreeWorkingMemory</a>();</div>
203<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; }</div>
204</div><!-- fragment -->
205<p class="reference">References <a class="el" href="_loaded_network_8cpp_source.html#l01286">LoadedNetwork::FreeWorkingMemory()</a>.</p>
206
207</div>
208</div>
209<h2 class="groupheader">Member Function Documentation</h2>
210<a id="aa792fd8b43401e3d6665110cdb0af27b"></a>
211<h2 class="memtitle"><span class="permalink"><a href="#aa792fd8b43401e3d6665110cdb0af27b">&#9670;&nbsp;</a></span>ClearImportedInputs()</h2>
212
213<div class="memitem">
214<div class="memproto">
215 <table class="memname">
216 <tr>
217 <td class="memname">void ClearImportedInputs </td>
218 <td>(</td>
219 <td class="paramtype">const std::vector&lt; <a class="el" href="namespacearmnn.html#a1c5ec805688cb558465a82a8d9f56a90">ImportedInputId</a> &gt;&#160;</td>
220 <td class="paramname"><em>inputIds</em></td><td>)</td>
221 <td></td>
222 </tr>
223 </table>
224</div><div class="memdoc">
225
226<p class="definition">Definition at line <a class="el" href="_loaded_network_8cpp_source.html#l01761">1761</a> of file <a class="el" href="_loaded_network_8cpp_source.html">LoadedNetwork.cpp</a>.</p>
227<div class="fragment"><div class="line"><a name="l01762"></a><span class="lineno"> 1762</span>&#160;{</div>
228<div class="line"><a name="l01763"></a><span class="lineno"> 1763</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> <span class="keywordtype">id</span> : inputIds)</div>
229<div class="line"><a name="l01764"></a><span class="lineno"> 1764</span>&#160; {</div>
230<div class="line"><a name="l01765"></a><span class="lineno"> 1765</span>&#160; <span class="keywordflow">if</span> (<span class="keywordtype">id</span> &gt; m_PreImportedInputHandles.size())</div>
231<div class="line"><a name="l01766"></a><span class="lineno"> 1766</span>&#160; {</div>
232<div class="line"><a name="l01767"></a><span class="lineno"> 1767</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(fmt::format(<span class="stringliteral">&quot;ClearImportedInputs::Unknown ImportedInputId: {}&quot;</span>, <span class="keywordtype">id</span>));</div>
233<div class="line"><a name="l01768"></a><span class="lineno"> 1768</span>&#160; }</div>
234<div class="line"><a name="l01769"></a><span class="lineno"> 1769</span>&#160; </div>
235<div class="line"><a name="l01770"></a><span class="lineno"> 1770</span>&#160; <span class="keyword">auto</span>&amp; importedTensorHandle = m_PreImportedInputHandles[id].m_TensorHandle;</div>
236<div class="line"><a name="l01771"></a><span class="lineno"> 1771</span>&#160; <span class="keywordflow">if</span> (!importedTensorHandle)</div>
237<div class="line"><a name="l01772"></a><span class="lineno"> 1772</span>&#160; {</div>
238<div class="line"><a name="l01773"></a><span class="lineno"> 1773</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(</div>
239<div class="line"><a name="l01774"></a><span class="lineno"> 1774</span>&#160; fmt::format(<span class="stringliteral">&quot;ClearImportedInputs::ImportedInput with id: {} has already been deleted&quot;</span>, <span class="keywordtype">id</span>));</div>
240<div class="line"><a name="l01775"></a><span class="lineno"> 1775</span>&#160; }</div>
241<div class="line"><a name="l01776"></a><span class="lineno"> 1776</span>&#160; <span class="comment">// Call Unimport then destroy the tensorHandle</span></div>
242<div class="line"><a name="l01777"></a><span class="lineno"> 1777</span>&#160; importedTensorHandle-&gt;Unimport();</div>
243<div class="line"><a name="l01778"></a><span class="lineno"> 1778</span>&#160; importedTensorHandle = {};</div>
244<div class="line"><a name="l01779"></a><span class="lineno"> 1779</span>&#160; }</div>
245<div class="line"><a name="l01780"></a><span class="lineno"> 1780</span>&#160;}</div>
246</div><!-- fragment -->
247<p class="reference">Referenced by <a class="el" href="_runtime_8cpp_source.html#l00638">RuntimeImpl::ClearImportedInputs()</a>.</p>
248
249</div>
250</div>
251<a id="af06f742ce80985a8fbbbc028c20259b1"></a>
252<h2 class="memtitle"><span class="permalink"><a href="#af06f742ce80985a8fbbbc028c20259b1">&#9670;&nbsp;</a></span>ClearImportedOutputs()</h2>
253
254<div class="memitem">
255<div class="memproto">
256 <table class="memname">
257 <tr>
258 <td class="memname">void ClearImportedOutputs </td>
259 <td>(</td>
260 <td class="paramtype">const std::vector&lt; <a class="el" href="namespacearmnn.html#ac68a434f0e78e33726bfb22a39ec813f">ImportedOutputId</a> &gt;&#160;</td>
261 <td class="paramname"><em>outputIds</em></td><td>)</td>
262 <td></td>
263 </tr>
264 </table>
265</div><div class="memdoc">
266
267<p class="definition">Definition at line <a class="el" href="_loaded_network_8cpp_source.html#l01782">1782</a> of file <a class="el" href="_loaded_network_8cpp_source.html">LoadedNetwork.cpp</a>.</p>
268<div class="fragment"><div class="line"><a name="l01783"></a><span class="lineno"> 1783</span>&#160;{</div>
269<div class="line"><a name="l01784"></a><span class="lineno"> 1784</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> <span class="keywordtype">id</span> : outputIds)</div>
270<div class="line"><a name="l01785"></a><span class="lineno"> 1785</span>&#160; {</div>
271<div class="line"><a name="l01786"></a><span class="lineno"> 1786</span>&#160; <span class="keywordflow">if</span> (<span class="keywordtype">id</span> &gt; m_PreImportedOutputHandles.size())</div>
272<div class="line"><a name="l01787"></a><span class="lineno"> 1787</span>&#160; {</div>
273<div class="line"><a name="l01788"></a><span class="lineno"> 1788</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(fmt::format(<span class="stringliteral">&quot;ClearImportedOutputs::Unknown ImportedOutputId: {}&quot;</span>, <span class="keywordtype">id</span>));</div>
274<div class="line"><a name="l01789"></a><span class="lineno"> 1789</span>&#160; }</div>
275<div class="line"><a name="l01790"></a><span class="lineno"> 1790</span>&#160; </div>
276<div class="line"><a name="l01791"></a><span class="lineno"> 1791</span>&#160; <span class="keyword">auto</span>&amp; importedTensorHandle = m_PreImportedOutputHandles[id].m_TensorHandle;</div>
277<div class="line"><a name="l01792"></a><span class="lineno"> 1792</span>&#160; <span class="keywordflow">if</span> (!importedTensorHandle)</div>
278<div class="line"><a name="l01793"></a><span class="lineno"> 1793</span>&#160; {</div>
279<div class="line"><a name="l01794"></a><span class="lineno"> 1794</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(</div>
280<div class="line"><a name="l01795"></a><span class="lineno"> 1795</span>&#160; fmt::format(<span class="stringliteral">&quot;ClearImportedOutputs::ImportedOutput with id: {} has already been deleted&quot;</span>, <span class="keywordtype">id</span>));</div>
281<div class="line"><a name="l01796"></a><span class="lineno"> 1796</span>&#160; }</div>
282<div class="line"><a name="l01797"></a><span class="lineno"> 1797</span>&#160; <span class="comment">// Call Unimport then destroy the tensorHandle</span></div>
283<div class="line"><a name="l01798"></a><span class="lineno"> 1798</span>&#160; importedTensorHandle-&gt;Unimport();</div>
284<div class="line"><a name="l01799"></a><span class="lineno"> 1799</span>&#160; importedTensorHandle = {};</div>
285<div class="line"><a name="l01800"></a><span class="lineno"> 1800</span>&#160; }</div>
286<div class="line"><a name="l01801"></a><span class="lineno"> 1801</span>&#160;}</div>
287</div><!-- fragment -->
288<p class="reference">Referenced by <a class="el" href="_runtime_8cpp_source.html#l00642">RuntimeImpl::ClearImportedOutputs()</a>.</p>
289
290</div>
291</div>
292<a id="a16e72675c37a8f251cf02951e222d4ab"></a>
293<h2 class="memtitle"><span class="permalink"><a href="#a16e72675c37a8f251cf02951e222d4ab">&#9670;&nbsp;</a></span>CreateWorkingMemHandle()</h2>
294
295<div class="memitem">
296<div class="memproto">
297 <table class="memname">
298 <tr>
299 <td class="memname">std::unique_ptr&lt; <a class="el" href="classarmnn_1_1experimental_1_1_i_working_mem_handle.html">IWorkingMemHandle</a> &gt; CreateWorkingMemHandle </td>
300 <td>(</td>
301 <td class="paramtype"><a class="el" href="namespacearmnn.html#a0d8160388a127c1a23b37bc88dc6e2ec">NetworkId</a>&#160;</td>
302 <td class="paramname"><em>networkId</em></td><td>)</td>
303 <td></td>
304 </tr>
305 </table>
306</div><div class="memdoc">
307
308<p>Create a new unique WorkingMemHandle object. </p>
309<p>Create multiple handles if you wish to have overlapped Execution by calling this function from different threads. </p>
310
311<p class="definition">Definition at line <a class="el" href="_loaded_network_8cpp_source.html#l02025">2025</a> of file <a class="el" href="_loaded_network_8cpp_source.html">LoadedNetwork.cpp</a>.</p>
312<div class="fragment"><div class="line"><a name="l02026"></a><span class="lineno"> 2026</span>&#160;{</div>
313<div class="line"><a name="l02027"></a><span class="lineno"> 2027</span>&#160; Graph&amp; order = m_OptimizedNetwork-&gt;pOptimizedNetworkImpl-&gt;GetGraph();</div>
314<div class="line"><a name="l02028"></a><span class="lineno"> 2028</span>&#160; </div>
315<div class="line"><a name="l02029"></a><span class="lineno"> 2029</span>&#160; <span class="comment">// Tensors that will need to be allocated internally within armnn</span></div>
316<div class="line"><a name="l02030"></a><span class="lineno"> 2030</span>&#160; std::vector&lt;std::unique_ptr&lt;ITensorHandle&gt;&gt; managedTensorHandles;</div>
317<div class="line"><a name="l02031"></a><span class="lineno"> 2031</span>&#160; <span class="comment">// Tensors that will be allocated externally by the user</span></div>
318<div class="line"><a name="l02032"></a><span class="lineno"> 2032</span>&#160; std::vector&lt;std::unique_ptr&lt;ITensorHandle&gt;&gt; unmanagedTensorHandles;</div>
319<div class="line"><a name="l02033"></a><span class="lineno"> 2033</span>&#160; </div>
320<div class="line"><a name="l02034"></a><span class="lineno"> 2034</span>&#160; std::vector&lt;WorkingMemDescriptor&gt; workingMemDescriptors;</div>
321<div class="line"><a name="l02035"></a><span class="lineno"> 2035</span>&#160; std::vector&lt;std::pair&lt;BackendId, ExecutionData&gt;&gt; executionDataVec;</div>
322<div class="line"><a name="l02036"></a><span class="lineno"> 2036</span>&#160; </div>
323<div class="line"><a name="l02037"></a><span class="lineno"> 2037</span>&#160; <span class="keyword">auto</span> GetTensorHandle = [&amp;](Layer* layer, <span class="keyword">const</span> OutputSlot&amp; outputSlot)</div>
324<div class="line"><a name="l02038"></a><span class="lineno"> 2038</span>&#160; {</div>
325<div class="line"><a name="l02039"></a><span class="lineno"> 2039</span>&#160; <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> factoryId = outputSlot.GetTensorHandleFactoryId();</div>
326<div class="line"><a name="l02040"></a><span class="lineno"> 2040</span>&#160; <span class="keyword">const</span> TensorInfo&amp; tensorInfo = outputSlot.GetTensorInfo();</div>
327<div class="line"><a name="l02041"></a><span class="lineno"> 2041</span>&#160; </div>
328<div class="line"><a name="l02042"></a><span class="lineno"> 2042</span>&#160; <span class="keywordflow">if</span> (factoryId == <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a9c95f90eb40e31f629e0e2947b8bc6f9">ITensorHandleFactory::LegacyFactoryId</a>)</div>
329<div class="line"><a name="l02043"></a><span class="lineno"> 2043</span>&#160; {</div>
330<div class="line"><a name="l02044"></a><span class="lineno"> 2044</span>&#160; BackendId <span class="keywordtype">id</span> = layer-&gt;GetBackendId();</div>
331<div class="line"><a name="l02045"></a><span class="lineno"> 2045</span>&#160; <a class="code" href="_deprecated_8hpp.html#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div>
332<div class="line"><a name="l02046"></a><span class="lineno"> 2046</span>&#160; <span class="keywordflow">return</span> m_WorkloadFactories.at(<span class="keywordtype">id</span>)-&gt;CreateTensorHandle(tensorInfo, <span class="keyword">false</span>);</div>
333<div class="line"><a name="l02047"></a><span class="lineno"> 2047</span>&#160; <a class="code" href="_deprecated_8hpp.html#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div>
334<div class="line"><a name="l02048"></a><span class="lineno"> 2048</span>&#160; }</div>
335<div class="line"><a name="l02049"></a><span class="lineno"> 2049</span>&#160; <span class="keywordflow">else</span></div>
336<div class="line"><a name="l02050"></a><span class="lineno"> 2050</span>&#160; {</div>
337<div class="line"><a name="l02051"></a><span class="lineno"> 2051</span>&#160; ITensorHandleFactory* handleFactory = m_TensorHandleFactoryRegistry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html#ae5ecc42140a12c855554a4a621fc8456">GetFactory</a>(factoryId);</div>
338<div class="line"><a name="l02052"></a><span class="lineno"> 2052</span>&#160; <span class="keywordflow">if</span> (!handleFactory)</div>
339<div class="line"><a name="l02053"></a><span class="lineno"> 2053</span>&#160; {</div>
340<div class="line"><a name="l02054"></a><span class="lineno"> 2054</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_null_pointer_exception.html">armnn::NullPointerException</a>(<span class="stringliteral">&quot;handleFactory must not be null.&quot;</span>);</div>
341<div class="line"><a name="l02055"></a><span class="lineno"> 2055</span>&#160; }</div>
342<div class="line"><a name="l02056"></a><span class="lineno"> 2056</span>&#160; <span class="keywordflow">return</span> handleFactory-&gt;CreateTensorHandle(tensorInfo, <span class="keyword">false</span>);</div>
343<div class="line"><a name="l02057"></a><span class="lineno"> 2057</span>&#160; }</div>
344<div class="line"><a name="l02058"></a><span class="lineno"> 2058</span>&#160; };</div>
345<div class="line"><a name="l02059"></a><span class="lineno"> 2059</span>&#160; </div>
346<div class="line"><a name="l02060"></a><span class="lineno"> 2060</span>&#160; <span class="keyword">struct </span>HandleInfo</div>
347<div class="line"><a name="l02061"></a><span class="lineno"> 2061</span>&#160; {</div>
348<div class="line"><a name="l02062"></a><span class="lineno"> 2062</span>&#160; ITensorHandle* m_TensorHandle;</div>
349<div class="line"><a name="l02063"></a><span class="lineno"> 2063</span>&#160; </div>
350<div class="line"><a name="l02064"></a><span class="lineno"> 2064</span>&#160; <span class="keywordtype">bool</span> m_IsInputLayerHandle = <span class="keyword">false</span>;</div>
351<div class="line"><a name="l02065"></a><span class="lineno"> 2065</span>&#160; <span class="keywordtype">bool</span> m_IsOutputLayerHandle = <span class="keyword">false</span>;</div>
352<div class="line"><a name="l02066"></a><span class="lineno"> 2066</span>&#160; </div>
353<div class="line"><a name="l02067"></a><span class="lineno"> 2067</span>&#160; WorkingMemHandle::InputMemDescriptorCoords m_InputMemDescriptorCoords;</div>
354<div class="line"><a name="l02068"></a><span class="lineno"> 2068</span>&#160; WorkingMemHandle::OutputMemDescriptorCoords m_OutputMemDescriptorCoords;</div>
355<div class="line"><a name="l02069"></a><span class="lineno"> 2069</span>&#160; };</div>
356<div class="line"><a name="l02070"></a><span class="lineno"> 2070</span>&#160; </div>
357<div class="line"><a name="l02071"></a><span class="lineno"> 2071</span>&#160; std::unordered_map&lt;const OutputSlot*, HandleInfo&gt; outputToHandleInfoMap;</div>
358<div class="line"><a name="l02072"></a><span class="lineno"> 2072</span>&#160; </div>
359<div class="line"><a name="l02073"></a><span class="lineno"> 2073</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> layerIndex = 0;</div>
360<div class="line"><a name="l02074"></a><span class="lineno"> 2074</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp;&amp; layer : order)</div>
361<div class="line"><a name="l02075"></a><span class="lineno"> 2075</span>&#160; {</div>
362<div class="line"><a name="l02076"></a><span class="lineno"> 2076</span>&#160; <span class="comment">// Constant layers execution and management is handled during loaded network construction</span></div>
363<div class="line"><a name="l02077"></a><span class="lineno"> 2077</span>&#160; <span class="keywordflow">if</span> (layer-&gt;GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">LayerType::Constant</a>)</div>
364<div class="line"><a name="l02078"></a><span class="lineno"> 2078</span>&#160; {</div>
365<div class="line"><a name="l02079"></a><span class="lineno"> 2079</span>&#160; <span class="keywordflow">continue</span>;</div>
366<div class="line"><a name="l02080"></a><span class="lineno"> 2080</span>&#160; }</div>
367<div class="line"><a name="l02081"></a><span class="lineno"> 2081</span>&#160; </div>
368<div class="line"><a name="l02082"></a><span class="lineno"> 2082</span>&#160; WorkingMemDescriptor workingMemDescriptor;</div>
369<div class="line"><a name="l02083"></a><span class="lineno"> 2083</span>&#160; </div>
370<div class="line"><a name="l02084"></a><span class="lineno"> 2084</span>&#160; <span class="keywordtype">bool</span> isMemoryManaged = <span class="keyword">true</span>;</div>
371<div class="line"><a name="l02085"></a><span class="lineno"> 2085</span>&#160; <span class="keywordtype">bool</span> isInputLayer = <span class="keyword">false</span>;</div>
372<div class="line"><a name="l02086"></a><span class="lineno"> 2086</span>&#160; <span class="keywordtype">bool</span> isOutputLayer = <span class="keyword">false</span>;</div>
373<div class="line"><a name="l02087"></a><span class="lineno"> 2087</span>&#160; <span class="keywordtype">bool</span> isConnectedToOutputLayer = <span class="keyword">false</span>;</div>
374<div class="line"><a name="l02088"></a><span class="lineno"> 2088</span>&#160; </div>
375<div class="line"><a name="l02089"></a><span class="lineno"> 2089</span>&#160; <span class="keywordflow">if</span> (layer-&gt;GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a> || layer-&gt;GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">LayerType::MemImport</a>)</div>
376<div class="line"><a name="l02090"></a><span class="lineno"> 2090</span>&#160; {</div>
377<div class="line"><a name="l02091"></a><span class="lineno"> 2091</span>&#160; <span class="comment">// Input layers/workloads will not be executed so the descriptor is not added to workingMemDescriptors</span></div>
378<div class="line"><a name="l02092"></a><span class="lineno"> 2092</span>&#160; <span class="comment">// However we will still need to manage the tensorHandle</span></div>
379<div class="line"><a name="l02093"></a><span class="lineno"> 2093</span>&#160; isInputLayer = <span class="keyword">true</span>;</div>
380<div class="line"><a name="l02094"></a><span class="lineno"> 2094</span>&#160; isMemoryManaged = m_NetworkProperties.<a class="code" href="structarmnn_1_1_i_network_properties.html#a53d95b257e52b0fd292ba6d40d3c5dc3">m_InputSource</a> == <a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">MemorySource::Undefined</a>;</div>
381<div class="line"><a name="l02095"></a><span class="lineno"> 2095</span>&#160; }</div>
382<div class="line"><a name="l02096"></a><span class="lineno"> 2096</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span> (layer-&gt;GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a>)</div>
383<div class="line"><a name="l02097"></a><span class="lineno"> 2097</span>&#160; {</div>
384<div class="line"><a name="l02098"></a><span class="lineno"> 2098</span>&#160; isOutputLayer = <span class="keyword">true</span>;</div>
385<div class="line"><a name="l02099"></a><span class="lineno"> 2099</span>&#160; }</div>
386<div class="line"><a name="l02100"></a><span class="lineno"> 2100</span>&#160; </div>
387<div class="line"><a name="l02101"></a><span class="lineno"> 2101</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slotIndex = 0;</div>
388<div class="line"><a name="l02102"></a><span class="lineno"> 2102</span>&#160; <span class="comment">// Create a tensor handle for each output slot of a layer</span></div>
389<div class="line"><a name="l02103"></a><span class="lineno"> 2103</span>&#160; <span class="comment">// Once we create it, we start managing its lifetime</span></div>
390<div class="line"><a name="l02104"></a><span class="lineno"> 2104</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; slot : layer-&gt;GetOutputSlots())</div>
391<div class="line"><a name="l02105"></a><span class="lineno"> 2105</span>&#160; {</div>
392<div class="line"><a name="l02106"></a><span class="lineno"> 2106</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; slot.GetNumConnections(); ++i)</div>
393<div class="line"><a name="l02107"></a><span class="lineno"> 2107</span>&#160; {</div>
394<div class="line"><a name="l02108"></a><span class="lineno"> 2108</span>&#160; <span class="keywordflow">if</span> ((slot.GetConnection(i)-&gt;GetOwningLayer().GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a>))</div>
395<div class="line"><a name="l02109"></a><span class="lineno"> 2109</span>&#160; {</div>
396<div class="line"><a name="l02110"></a><span class="lineno"> 2110</span>&#160; <span class="keywordflow">if</span> (!isConnectedToOutputLayer)</div>
397<div class="line"><a name="l02111"></a><span class="lineno"> 2111</span>&#160; {</div>
398<div class="line"><a name="l02112"></a><span class="lineno"> 2112</span>&#160; isConnectedToOutputLayer = <span class="keyword">true</span>;</div>
399<div class="line"><a name="l02113"></a><span class="lineno"> 2113</span>&#160; <span class="comment">// If Export is enabled disable memory management, so we can export, otherwise we do a copy</span></div>
400<div class="line"><a name="l02114"></a><span class="lineno"> 2114</span>&#160; isMemoryManaged = m_NetworkProperties.<a class="code" href="structarmnn_1_1_i_network_properties.html#a3266436db920d1ca96b0afaadacf3972">m_OutputSource</a> == <a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">MemorySource::Undefined</a>;</div>
401<div class="line"><a name="l02115"></a><span class="lineno"> 2115</span>&#160; }</div>
402<div class="line"><a name="l02116"></a><span class="lineno"> 2116</span>&#160; <span class="keywordflow">else</span></div>
403<div class="line"><a name="l02117"></a><span class="lineno"> 2117</span>&#160; {</div>
404<div class="line"><a name="l02118"></a><span class="lineno"> 2118</span>&#160; <span class="comment">// Importing in this case would likely cause unexpected behaviour, so we disallow it.</span></div>
405<div class="line"><a name="l02119"></a><span class="lineno"> 2119</span>&#160; <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(warning) &lt;&lt;</div>
406<div class="line"><a name="l02120"></a><span class="lineno"> 2120</span>&#160; fmt::format(<span class="stringliteral">&quot;Layer name: &#39;{0}&#39; guid: &#39;{1}&#39; has two or more OutputLayers connected to it. &quot;</span></div>
407<div class="line"><a name="l02121"></a><span class="lineno"> 2121</span>&#160; <span class="stringliteral">&quot;This will prevent importing on the connected OutputLayers.&quot;</span>,</div>
408<div class="line"><a name="l02122"></a><span class="lineno"> 2122</span>&#160; layer-&gt;GetName(), layer-&gt;GetGuid());</div>
409<div class="line"><a name="l02123"></a><span class="lineno"> 2123</span>&#160; isMemoryManaged = <span class="keyword">true</span>;</div>
410<div class="line"><a name="l02124"></a><span class="lineno"> 2124</span>&#160; }</div>
411<div class="line"><a name="l02125"></a><span class="lineno"> 2125</span>&#160; }</div>
412<div class="line"><a name="l02126"></a><span class="lineno"> 2126</span>&#160; }</div>
413<div class="line"><a name="l02127"></a><span class="lineno"> 2127</span>&#160; </div>
414<div class="line"><a name="l02128"></a><span class="lineno"> 2128</span>&#160; ITensorHandle* tensorHandle;</div>
415<div class="line"><a name="l02129"></a><span class="lineno"> 2129</span>&#160; <span class="keywordflow">if</span> (isMemoryManaged)</div>
416<div class="line"><a name="l02130"></a><span class="lineno"> 2130</span>&#160; {</div>
417<div class="line"><a name="l02131"></a><span class="lineno"> 2131</span>&#160; managedTensorHandles.emplace_back(GetTensorHandle(layer, slot));</div>
418<div class="line"><a name="l02132"></a><span class="lineno"> 2132</span>&#160; tensorHandle = managedTensorHandles.back().get();</div>
419<div class="line"><a name="l02133"></a><span class="lineno"> 2133</span>&#160; }</div>
420<div class="line"><a name="l02134"></a><span class="lineno"> 2134</span>&#160; <span class="keywordflow">else</span></div>
421<div class="line"><a name="l02135"></a><span class="lineno"> 2135</span>&#160; {</div>
422<div class="line"><a name="l02136"></a><span class="lineno"> 2136</span>&#160; unmanagedTensorHandles.emplace_back(GetTensorHandle(layer, slot));</div>
423<div class="line"><a name="l02137"></a><span class="lineno"> 2137</span>&#160; tensorHandle = unmanagedTensorHandles.back().get();</div>
424<div class="line"><a name="l02138"></a><span class="lineno"> 2138</span>&#160; }</div>
425<div class="line"><a name="l02139"></a><span class="lineno"> 2139</span>&#160; </div>
426<div class="line"><a name="l02140"></a><span class="lineno"> 2140</span>&#160; workingMemDescriptor.m_Outputs.push_back(tensorHandle);</div>
427<div class="line"><a name="l02141"></a><span class="lineno"> 2141</span>&#160; </div>
428<div class="line"><a name="l02142"></a><span class="lineno"> 2142</span>&#160; HandleInfo&amp; handleInfo = outputToHandleInfoMap[&amp;slot];</div>
429<div class="line"><a name="l02143"></a><span class="lineno"> 2143</span>&#160; handleInfo.m_TensorHandle = tensorHandle;</div>
430<div class="line"><a name="l02144"></a><span class="lineno"> 2144</span>&#160; </div>
431<div class="line"><a name="l02145"></a><span class="lineno"> 2145</span>&#160; <span class="comment">// Store the coordinates of the current layer&#39;s OutputSlot that is connected to the OutputLayer</span></div>
432<div class="line"><a name="l02146"></a><span class="lineno"> 2146</span>&#160; <span class="keywordflow">if</span> (isConnectedToOutputLayer)</div>
433<div class="line"><a name="l02147"></a><span class="lineno"> 2147</span>&#160; {</div>
434<div class="line"><a name="l02148"></a><span class="lineno"> 2148</span>&#160; handleInfo.m_IsOutputLayerHandle = <span class="keyword">true</span>;</div>
435<div class="line"><a name="l02149"></a><span class="lineno"> 2149</span>&#160; handleInfo.m_OutputMemDescriptorCoords.m_OutputSlotCoords = {layerIndex, slotIndex};</div>
436<div class="line"><a name="l02150"></a><span class="lineno"> 2150</span>&#160; }</div>
437<div class="line"><a name="l02151"></a><span class="lineno"> 2151</span>&#160; <span class="comment">// Store the LayerBindingId of the InputLayer</span></div>
438<div class="line"><a name="l02152"></a><span class="lineno"> 2152</span>&#160; <span class="keywordflow">if</span> (isInputLayer)</div>
439<div class="line"><a name="l02153"></a><span class="lineno"> 2153</span>&#160; {</div>
440<div class="line"><a name="l02154"></a><span class="lineno"> 2154</span>&#160; handleInfo.m_IsInputLayerHandle = <span class="keyword">true</span>;</div>
441<div class="line"><a name="l02155"></a><span class="lineno"> 2155</span>&#160; <a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> bindingId = <span class="keyword">static_cast&lt;</span>BindableLayer*<span class="keyword">&gt;</span>(layer)-&gt;GetBindingId();</div>
442<div class="line"><a name="l02156"></a><span class="lineno"> 2156</span>&#160; handleInfo.m_InputMemDescriptorCoords.m_LayerBindingId = bindingId;</div>
443<div class="line"><a name="l02157"></a><span class="lineno"> 2157</span>&#160; }</div>
444<div class="line"><a name="l02158"></a><span class="lineno"> 2158</span>&#160; slotIndex++;</div>
445<div class="line"><a name="l02159"></a><span class="lineno"> 2159</span>&#160; }</div>
446<div class="line"><a name="l02160"></a><span class="lineno"> 2160</span>&#160; <span class="comment">// Loop through the input slots in the same layer and decrement the reference counter associated</span></div>
447<div class="line"><a name="l02161"></a><span class="lineno"> 2161</span>&#160; <span class="comment">// to each tensor handle we encounter.</span></div>
448<div class="line"><a name="l02162"></a><span class="lineno"> 2162</span>&#160; <span class="comment">// Once it reaches zero, the lifetime of the tensor handle has ended, and we mark its memory as available</span></div>
449<div class="line"><a name="l02163"></a><span class="lineno"> 2163</span>&#160; <span class="comment">// so that the next tensor handle with a non overlapping lifetime can share its memory.</span></div>
450<div class="line"><a name="l02164"></a><span class="lineno"> 2164</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; slot : layer-&gt;GetInputSlots())</div>
451<div class="line"><a name="l02165"></a><span class="lineno"> 2165</span>&#160; {</div>
452<div class="line"><a name="l02166"></a><span class="lineno"> 2166</span>&#160; <span class="keywordflow">if</span> (!slot.GetConnection())</div>
453<div class="line"><a name="l02167"></a><span class="lineno"> 2167</span>&#160; {</div>
454<div class="line"><a name="l02168"></a><span class="lineno"> 2168</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_graph_validation_exception.html">armnn::GraphValidationException</a>(<span class="stringliteral">&quot;slot must be a valid input slot.&quot;</span>);</div>
455<div class="line"><a name="l02169"></a><span class="lineno"> 2169</span>&#160; }</div>
456<div class="line"><a name="l02170"></a><span class="lineno"> 2170</span>&#160; </div>
457<div class="line"><a name="l02171"></a><span class="lineno"> 2171</span>&#160; <span class="keyword">auto</span> outputSlot = slot.GetConnectedOutputSlot();</div>
458<div class="line"><a name="l02172"></a><span class="lineno"> 2172</span>&#160; <span class="keyword">auto</span> key = outputSlot-&gt;GetOwningLayer().GetGuid();</div>
459<div class="line"><a name="l02173"></a><span class="lineno"> 2173</span>&#160; </div>
460<div class="line"><a name="l02174"></a><span class="lineno"> 2174</span>&#160; <span class="comment">// Constant layers execution and management is handled during loaded network construction</span></div>
461<div class="line"><a name="l02175"></a><span class="lineno"> 2175</span>&#160; <span class="keyword">auto</span> found = m_ConstantTensorHandles.find(key);</div>
462<div class="line"><a name="l02176"></a><span class="lineno"> 2176</span>&#160; <span class="keywordflow">if</span> (found != m_ConstantTensorHandles.end())</div>
463<div class="line"><a name="l02177"></a><span class="lineno"> 2177</span>&#160; {</div>
464<div class="line"><a name="l02178"></a><span class="lineno"> 2178</span>&#160; ITensorHandle* tensorHandle = found-&gt;second;</div>
465<div class="line"><a name="l02179"></a><span class="lineno"> 2179</span>&#160; <span class="keywordflow">if</span> (slot.IsTensorInfoOverridden())</div>
466<div class="line"><a name="l02180"></a><span class="lineno"> 2180</span>&#160; {</div>
467<div class="line"><a name="l02181"></a><span class="lineno"> 2181</span>&#160; ITensorHandle* decorated = tensorHandle-&gt;DecorateTensorHandle(slot.GetTensorInfo()).get();</div>
468<div class="line"><a name="l02182"></a><span class="lineno"> 2182</span>&#160; <span class="keywordflow">if</span> (decorated)</div>
469<div class="line"><a name="l02183"></a><span class="lineno"> 2183</span>&#160; {</div>
470<div class="line"><a name="l02184"></a><span class="lineno"> 2184</span>&#160; tensorHandle = decorated;</div>
471<div class="line"><a name="l02185"></a><span class="lineno"> 2185</span>&#160; }</div>
472<div class="line"><a name="l02186"></a><span class="lineno"> 2186</span>&#160; }</div>
473<div class="line"><a name="l02187"></a><span class="lineno"> 2187</span>&#160; workingMemDescriptor.m_Inputs.push_back(tensorHandle);</div>
474<div class="line"><a name="l02188"></a><span class="lineno"> 2188</span>&#160; </div>
475<div class="line"><a name="l02189"></a><span class="lineno"> 2189</span>&#160; <span class="comment">// Odd case where a constant layer is connected to an output layer</span></div>
476<div class="line"><a name="l02190"></a><span class="lineno"> 2190</span>&#160; <span class="comment">// We will need to create a HandleInfo to track it</span></div>
477<div class="line"><a name="l02191"></a><span class="lineno"> 2191</span>&#160; <span class="keywordflow">if</span> (isOutputLayer)</div>
478<div class="line"><a name="l02192"></a><span class="lineno"> 2192</span>&#160; {</div>
479<div class="line"><a name="l02193"></a><span class="lineno"> 2193</span>&#160; <a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> bindingId = <span class="keyword">static_cast&lt;</span>BindableLayer*<span class="keyword">&gt;</span>(layer)-&gt;GetBindingId();</div>
480<div class="line"><a name="l02194"></a><span class="lineno"> 2194</span>&#160; </div>
481<div class="line"><a name="l02195"></a><span class="lineno"> 2195</span>&#160; HandleInfo&amp; handleInfo = outputToHandleInfoMap[outputSlot];</div>
482<div class="line"><a name="l02196"></a><span class="lineno"> 2196</span>&#160; handleInfo.m_TensorHandle = tensorHandle;</div>
483<div class="line"><a name="l02197"></a><span class="lineno"> 2197</span>&#160; handleInfo.m_IsOutputLayerHandle = <span class="keyword">true</span>;</div>
484<div class="line"><a name="l02198"></a><span class="lineno"> 2198</span>&#160; handleInfo.m_OutputMemDescriptorCoords.m_LayerBindingIds.push_back(bindingId);</div>
485<div class="line"><a name="l02199"></a><span class="lineno"> 2199</span>&#160; handleInfo.m_OutputMemDescriptorCoords.m_InputSlotCoords.push_back({layerIndex, 0});</div>
486<div class="line"><a name="l02200"></a><span class="lineno"> 2200</span>&#160; }</div>
487<div class="line"><a name="l02201"></a><span class="lineno"> 2201</span>&#160; <span class="keywordflow">continue</span>;</div>
488<div class="line"><a name="l02202"></a><span class="lineno"> 2202</span>&#160; }</div>
489<div class="line"><a name="l02203"></a><span class="lineno"> 2203</span>&#160; </div>
490<div class="line"><a name="l02204"></a><span class="lineno"> 2204</span>&#160; HandleInfo&amp; handleInfo = outputToHandleInfoMap.at(outputSlot);</div>
491<div class="line"><a name="l02205"></a><span class="lineno"> 2205</span>&#160; </div>
492<div class="line"><a name="l02206"></a><span class="lineno"> 2206</span>&#160; ITensorHandle* inputTensorHandle = handleInfo.m_TensorHandle;</div>
493<div class="line"><a name="l02207"></a><span class="lineno"> 2207</span>&#160; <span class="keywordflow">if</span> (slot.IsTensorInfoOverridden())</div>
494<div class="line"><a name="l02208"></a><span class="lineno"> 2208</span>&#160; {</div>
495<div class="line"><a name="l02209"></a><span class="lineno"> 2209</span>&#160; ITensorHandle* decorated = inputTensorHandle-&gt;DecorateTensorHandle(slot.GetTensorInfo()).get();</div>
496<div class="line"><a name="l02210"></a><span class="lineno"> 2210</span>&#160; <span class="keywordflow">if</span> (decorated)</div>
497<div class="line"><a name="l02211"></a><span class="lineno"> 2211</span>&#160; {</div>
498<div class="line"><a name="l02212"></a><span class="lineno"> 2212</span>&#160; inputTensorHandle = decorated;</div>
499<div class="line"><a name="l02213"></a><span class="lineno"> 2213</span>&#160; }</div>
500<div class="line"><a name="l02214"></a><span class="lineno"> 2214</span>&#160; }</div>
501<div class="line"><a name="l02215"></a><span class="lineno"> 2215</span>&#160; workingMemDescriptor.m_Inputs.push_back(inputTensorHandle);</div>
502<div class="line"><a name="l02216"></a><span class="lineno"> 2216</span>&#160; </div>
503<div class="line"><a name="l02217"></a><span class="lineno"> 2217</span>&#160; <span class="comment">// Store the LayerBindingId of the OutputLayer</span></div>
504<div class="line"><a name="l02218"></a><span class="lineno"> 2218</span>&#160; <span class="keywordflow">if</span> (isOutputLayer)</div>
505<div class="line"><a name="l02219"></a><span class="lineno"> 2219</span>&#160; {</div>
506<div class="line"><a name="l02220"></a><span class="lineno"> 2220</span>&#160; <a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> bindingId = <span class="keyword">static_cast&lt;</span>BindableLayer*<span class="keyword">&gt;</span>(layer)-&gt;GetBindingId();</div>
507<div class="line"><a name="l02221"></a><span class="lineno"> 2221</span>&#160; handleInfo.m_OutputMemDescriptorCoords.m_LayerBindingIds.push_back(bindingId);</div>
508<div class="line"><a name="l02222"></a><span class="lineno"> 2222</span>&#160; handleInfo.m_OutputMemDescriptorCoords.m_InputSlotCoords.push_back({layerIndex, 0});</div>
509<div class="line"><a name="l02223"></a><span class="lineno"> 2223</span>&#160; }</div>
510<div class="line"><a name="l02224"></a><span class="lineno"> 2224</span>&#160; <span class="comment">// In this case the layer is not an Output Layer but shares its input tensorhandle with an OutputLayer</span></div>
511<div class="line"><a name="l02225"></a><span class="lineno"> 2225</span>&#160; <span class="comment">// It will need to be updated as well, if we swap out the tensorhandle</span></div>
512<div class="line"><a name="l02226"></a><span class="lineno"> 2226</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span> (handleInfo.m_IsOutputLayerHandle)</div>
513<div class="line"><a name="l02227"></a><span class="lineno"> 2227</span>&#160; {</div>
514<div class="line"><a name="l02228"></a><span class="lineno"> 2228</span>&#160; handleInfo.m_OutputMemDescriptorCoords.m_InputSlotCoords.push_back({layerIndex, slot.GetSlotIndex()});</div>
515<div class="line"><a name="l02229"></a><span class="lineno"> 2229</span>&#160; }</div>
516<div class="line"><a name="l02230"></a><span class="lineno"> 2230</span>&#160; </div>
517<div class="line"><a name="l02231"></a><span class="lineno"> 2231</span>&#160; <span class="comment">// Store the coordinates of the InputSlots connected to the InputLayer</span></div>
518<div class="line"><a name="l02232"></a><span class="lineno"> 2232</span>&#160; <span class="comment">// There can be more than one InputSlot connected to an InputLayer, so we use a vector</span></div>
519<div class="line"><a name="l02233"></a><span class="lineno"> 2233</span>&#160; <span class="keywordflow">if</span> (handleInfo.m_IsInputLayerHandle)</div>
520<div class="line"><a name="l02234"></a><span class="lineno"> 2234</span>&#160; {</div>
521<div class="line"><a name="l02235"></a><span class="lineno"> 2235</span>&#160; std::pair&lt;LayerGuid, unsigned int&gt; connectionLocation{layerIndex, slot.GetSlotIndex()};</div>
522<div class="line"><a name="l02236"></a><span class="lineno"> 2236</span>&#160; handleInfo.m_InputMemDescriptorCoords.m_InputSlotCoords.emplace_back(connectionLocation);</div>
523<div class="line"><a name="l02237"></a><span class="lineno"> 2237</span>&#160; }</div>
524<div class="line"><a name="l02238"></a><span class="lineno"> 2238</span>&#160; }</div>
525<div class="line"><a name="l02239"></a><span class="lineno"> 2239</span>&#160; </div>
526<div class="line"><a name="l02240"></a><span class="lineno"> 2240</span>&#160; <span class="comment">// Input/Output layers/workloads will not be executed, so the descriptor is not added to workingMemDescriptors</span></div>
527<div class="line"><a name="l02241"></a><span class="lineno"> 2241</span>&#160; <span class="comment">// However we will still need to manage the tensorHandle</span></div>
528<div class="line"><a name="l02242"></a><span class="lineno"> 2242</span>&#160; <span class="keywordflow">if</span> (!isInputLayer)</div>
529<div class="line"><a name="l02243"></a><span class="lineno"> 2243</span>&#160; {</div>
530<div class="line"><a name="l02244"></a><span class="lineno"> 2244</span>&#160; <span class="comment">// Simply auto initialise ExecutionData here, so it&#39;s added only for the layer that require execution.</span></div>
531<div class="line"><a name="l02245"></a><span class="lineno"> 2245</span>&#160; <span class="comment">// The memory and data will be allocated/assigned for the void* in WorkingMemHandle::Allocate.</span></div>
532<div class="line"><a name="l02246"></a><span class="lineno"> 2246</span>&#160; std::pair&lt;BackendId, ExecutionData&gt; dataPair;</div>
533<div class="line"><a name="l02247"></a><span class="lineno"> 2247</span>&#160; dataPair.first = layer-&gt;GetBackendId();</div>
534<div class="line"><a name="l02248"></a><span class="lineno"> 2248</span>&#160; </div>
535<div class="line"><a name="l02249"></a><span class="lineno"> 2249</span>&#160; executionDataVec.push_back(dataPair);</div>
536<div class="line"><a name="l02250"></a><span class="lineno"> 2250</span>&#160; workingMemDescriptors.push_back(workingMemDescriptor);</div>
537<div class="line"><a name="l02251"></a><span class="lineno"> 2251</span>&#160; </div>
538<div class="line"><a name="l02252"></a><span class="lineno"> 2252</span>&#160; layerIndex++;</div>
539<div class="line"><a name="l02253"></a><span class="lineno"> 2253</span>&#160; }</div>
540<div class="line"><a name="l02254"></a><span class="lineno"> 2254</span>&#160; }</div>
541<div class="line"><a name="l02255"></a><span class="lineno"> 2255</span>&#160; </div>
542<div class="line"><a name="l02256"></a><span class="lineno"> 2256</span>&#160; std::vector&lt;std::pair&lt;std::shared_ptr&lt;TensorMemory&gt;, <a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277">MemorySource</a>&gt;&gt; tensorMemory;</div>
543<div class="line"><a name="l02257"></a><span class="lineno"> 2257</span>&#160; </div>
544<div class="line"><a name="l02258"></a><span class="lineno"> 2258</span>&#160; <span class="keyword">auto</span> externalMemoryManager = CreateExternalMemoryManger(tensorMemory);</div>
545<div class="line"><a name="l02259"></a><span class="lineno"> 2259</span>&#160; </div>
546<div class="line"><a name="l02260"></a><span class="lineno"> 2260</span>&#160; <span class="comment">// Sort m_TensorMemory, so it&#39;s order matches the outputSlot order</span></div>
547<div class="line"><a name="l02261"></a><span class="lineno"> 2261</span>&#160; std::sort(tensorMemory.begin(), tensorMemory.end(),</div>
548<div class="line"><a name="l02262"></a><span class="lineno"> 2262</span>&#160; [](<span class="keyword">const</span> std::pair&lt;std::shared_ptr&lt;TensorMemory&gt;, <a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277">MemorySource</a>&gt;&amp; lhs,</div>
549<div class="line"><a name="l02263"></a><span class="lineno"> 2263</span>&#160; <span class="keyword">const</span> std::pair&lt;std::shared_ptr&lt;TensorMemory&gt;, <a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277">MemorySource</a>&gt;&amp; rhs)</div>
550<div class="line"><a name="l02264"></a><span class="lineno"> 2264</span>&#160; {</div>
551<div class="line"><a name="l02265"></a><span class="lineno"> 2265</span>&#160; return lhs.first-&gt;m_OutputSlotId &lt; rhs.first-&gt;m_OutputSlotId;</div>
552<div class="line"><a name="l02266"></a><span class="lineno"> 2266</span>&#160; });</div>
553<div class="line"><a name="l02267"></a><span class="lineno"> 2267</span>&#160; </div>
554<div class="line"><a name="l02268"></a><span class="lineno"> 2268</span>&#160; std::vector&lt;WorkingMemHandle::InputMemDescriptorCoords&gt; inputConnectionsInfo;</div>
555<div class="line"><a name="l02269"></a><span class="lineno"> 2269</span>&#160; std::vector&lt;WorkingMemHandle::OutputMemDescriptorCoords&gt; outputConnectionsInfo;</div>
556<div class="line"><a name="l02270"></a><span class="lineno"> 2270</span>&#160; </div>
557<div class="line"><a name="l02271"></a><span class="lineno"> 2271</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>&amp; handleInfo: outputToHandleInfoMap)</div>
558<div class="line"><a name="l02272"></a><span class="lineno"> 2272</span>&#160; {</div>
559<div class="line"><a name="l02273"></a><span class="lineno"> 2273</span>&#160; <span class="keywordflow">if</span> (handleInfo.second.m_IsOutputLayerHandle)</div>
560<div class="line"><a name="l02274"></a><span class="lineno"> 2274</span>&#160; {</div>
561<div class="line"><a name="l02275"></a><span class="lineno"> 2275</span>&#160; outputConnectionsInfo.emplace_back(handleInfo.second.m_OutputMemDescriptorCoords);</div>
562<div class="line"><a name="l02276"></a><span class="lineno"> 2276</span>&#160; }</div>
563<div class="line"><a name="l02277"></a><span class="lineno"> 2277</span>&#160; </div>
564<div class="line"><a name="l02278"></a><span class="lineno"> 2278</span>&#160; <span class="keywordflow">if</span> (handleInfo.second.m_IsInputLayerHandle)</div>
565<div class="line"><a name="l02279"></a><span class="lineno"> 2279</span>&#160; {</div>
566<div class="line"><a name="l02280"></a><span class="lineno"> 2280</span>&#160; inputConnectionsInfo.emplace_back(handleInfo.second.m_InputMemDescriptorCoords);</div>
567<div class="line"><a name="l02281"></a><span class="lineno"> 2281</span>&#160; }</div>
568<div class="line"><a name="l02282"></a><span class="lineno"> 2282</span>&#160; }</div>
569<div class="line"><a name="l02283"></a><span class="lineno"> 2283</span>&#160; </div>
570<div class="line"><a name="l02284"></a><span class="lineno"> 2284</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;WorkingMemHandle&gt;(networkId,</div>
571<div class="line"><a name="l02285"></a><span class="lineno"> 2285</span>&#160; inputConnectionsInfo,</div>
572<div class="line"><a name="l02286"></a><span class="lineno"> 2286</span>&#160; outputConnectionsInfo,</div>
573<div class="line"><a name="l02287"></a><span class="lineno"> 2287</span>&#160; workingMemDescriptors,</div>
574<div class="line"><a name="l02288"></a><span class="lineno"> 2288</span>&#160; std::move(externalMemoryManager),</div>
575<div class="line"><a name="l02289"></a><span class="lineno"> 2289</span>&#160; std::move(tensorMemory),</div>
576<div class="line"><a name="l02290"></a><span class="lineno"> 2290</span>&#160; std::move(managedTensorHandles),</div>
577<div class="line"><a name="l02291"></a><span class="lineno"> 2291</span>&#160; std::move(unmanagedTensorHandles),</div>
578<div class="line"><a name="l02292"></a><span class="lineno"> 2292</span>&#160; executionDataVec,</div>
579<div class="line"><a name="l02293"></a><span class="lineno"> 2293</span>&#160; &amp;m_Backends);</div>
580<div class="line"><a name="l02294"></a><span class="lineno"> 2294</span>&#160;}</div>
581</div><!-- fragment -->
582<p class="reference">References <a class="el" href="_deprecated_8hpp_source.html#l00033">ARMNN_NO_DEPRECATE_WARN_BEGIN</a>, <a class="el" href="_deprecated_8hpp_source.html#l00034">ARMNN_NO_DEPRECATE_WARN_END</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.html#a375f11dd42ff042435e8771cf287b20c">ITensorHandleFactory::CreateTensorHandle()</a>, <a class="el" href="_layer_8hpp_source.html#l00290">Layer::GetBackendId()</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00039">TensorHandleFactoryRegistry::GetFactory()</a>, and <a class="el" href="_i_tensor_handle_factory_8hpp_source.html#l00050">ITensorHandleFactory::LegacyFactoryId</a>.</p>
583
584<p class="reference">Referenced by <a class="el" href="_runtime_8cpp_source.html#l00738">RuntimeImpl::CreateWorkingMemHandle()</a>.</p>
585
586</div>
587</div>
588<a id="a87880cba8611688cc57bec8f913958e8"></a>
589<h2 class="memtitle"><span class="permalink"><a href="#a87880cba8611688cc57bec8f913958e8">&#9670;&nbsp;</a></span>EnqueueWorkload()</h2>
590
591<div class="memitem">
592<div class="memproto">
593 <table class="memname">
594 <tr>
595 <td class="memname"><a class="el" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> EnqueueWorkload </td>
596 <td>(</td>
597 <td class="paramtype">const <a class="el" href="namespacearmnn.html#aa01bce88f89975a5a031db4cc8861527">InputTensors</a> &amp;&#160;</td>
598 <td class="paramname"><em>inputTensors</em>, </td>
599 </tr>
600 <tr>
601 <td class="paramkey"></td>
602 <td></td>
603 <td class="paramtype">const <a class="el" href="namespacearmnn.html#a8f091a512915d1cb29a4ebf13dfc53ea">OutputTensors</a> &amp;&#160;</td>
604 <td class="paramname"><em>outputTensors</em>, </td>
605 </tr>
606 <tr>
607 <td class="paramkey"></td>
608 <td></td>
609 <td class="paramtype">std::vector&lt; <a class="el" href="namespacearmnn.html#a1c5ec805688cb558465a82a8d9f56a90">ImportedInputId</a> &gt;&#160;</td>
610 <td class="paramname"><em>preImportedInputIds</em> = <code>{}</code>, </td>
611 </tr>
612 <tr>
613 <td class="paramkey"></td>
614 <td></td>
615 <td class="paramtype">std::vector&lt; <a class="el" href="namespacearmnn.html#ac68a434f0e78e33726bfb22a39ec813f">ImportedOutputId</a> &gt;&#160;</td>
616 <td class="paramname"><em>preImportedOutputIds</em> = <code>{}</code>&#160;</td>
617 </tr>
618 <tr>
619 <td></td>
620 <td>)</td>
621 <td></td><td></td>
622 </tr>
623 </table>
624</div><div class="memdoc">
625
626<p>Single thread execution of the loaded network. </p>
627
628<p class="definition">Definition at line <a class="el" href="_loaded_network_8cpp_source.html#l00872">872</a> of file <a class="el" href="_loaded_network_8cpp_source.html">LoadedNetwork.cpp</a>.</p>
629<div class="fragment"><div class="line"><a name="l00876"></a><span class="lineno"> 876</span>&#160;{</div>
630<div class="line"><a name="l00877"></a><span class="lineno"> 877</span>&#160; <span class="keyword">const</span> Graph&amp; graph = m_OptimizedNetwork-&gt;pOptimizedNetworkImpl-&gt;GetGraph();</div>
631<div class="line"><a name="l00878"></a><span class="lineno"> 878</span>&#160; </div>
632<div class="line"><a name="l00879"></a><span class="lineno"> 879</span>&#160; <span class="comment">// Walk graph to determine the order of execution.</span></div>
633<div class="line"><a name="l00880"></a><span class="lineno"> 880</span>&#160; <span class="keywordflow">if</span> (graph.GetNumLayers() &lt; 2)</div>
634<div class="line"><a name="l00881"></a><span class="lineno"> 881</span>&#160; {</div>
635<div class="line"><a name="l00882"></a><span class="lineno"> 882</span>&#160; <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(warning) &lt;&lt; <span class="stringliteral">&quot;IRuntime::EnqueueWorkload()::Less than two nodes in graph&quot;</span>;</div>
636<div class="line"><a name="l00883"></a><span class="lineno"> 883</span>&#160; <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70bae139a585510a502bbf1841cf589f5086">Status::Failure</a>;</div>
637<div class="line"><a name="l00884"></a><span class="lineno"> 884</span>&#160; }</div>
638<div class="line"><a name="l00885"></a><span class="lineno"> 885</span>&#160; </div>
639<div class="line"><a name="l00886"></a><span class="lineno"> 886</span>&#160; <span class="comment">// Data that must be kept alive for the entire execution of the workload.</span></div>
640<div class="line"><a name="l00887"></a><span class="lineno"> 887</span>&#160; WorkloadData workloadData(inputTensors, outputTensors);</div>
641<div class="line"><a name="l00888"></a><span class="lineno"> 888</span>&#160; </div>
642<div class="line"><a name="l00889"></a><span class="lineno"> 889</span>&#160; <span class="comment">// Input tensors can be provided as parameters or pre imported. Either way the number of</span></div>
643<div class="line"><a name="l00890"></a><span class="lineno"> 890</span>&#160; <span class="comment">// tensors should match the number of inputs.</span></div>
644<div class="line"><a name="l00891"></a><span class="lineno"> 891</span>&#160; <span class="keywordflow">if</span> (graph.GetNumInputs() != (inputTensors.size() + preImportedInputIds.size()))</div>
645<div class="line"><a name="l00892"></a><span class="lineno"> 892</span>&#160; {</div>
646<div class="line"><a name="l00893"></a><span class="lineno"> 893</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">&quot;Number of inputs provided does not match network.&quot;</span>);</div>
647<div class="line"><a name="l00894"></a><span class="lineno"> 894</span>&#160; }</div>
648<div class="line"><a name="l00895"></a><span class="lineno"> 895</span>&#160; </div>
649<div class="line"><a name="l00896"></a><span class="lineno"> 896</span>&#160; <span class="comment">// For each input to the network, call EnqueueInput with the data passed by the user.</span></div>
650<div class="line"><a name="l00897"></a><span class="lineno"> 897</span>&#160; {</div>
651<div class="line"><a name="l00898"></a><span class="lineno"> 898</span>&#160; <a class="code" href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">&quot;PrepareInputs&quot;</span>);</div>
652<div class="line"><a name="l00899"></a><span class="lineno"> 899</span>&#160; m_InputQueue.clear();</div>
653<div class="line"><a name="l00900"></a><span class="lineno"> 900</span>&#160; m_InputQueue.reserve(graph.GetNumInputs());</div>
654<div class="line"><a name="l00901"></a><span class="lineno"> 901</span>&#160; </div>
655<div class="line"><a name="l00902"></a><span class="lineno"> 902</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputIndex = 0;</div>
656<div class="line"><a name="l00903"></a><span class="lineno"> 903</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> importedInputIdIndex = 0;</div>
657<div class="line"><a name="l00904"></a><span class="lineno"> 904</span>&#160; std::sort(preImportedInputIds.begin(), preImportedInputIds.end());</div>
658<div class="line"><a name="l00905"></a><span class="lineno"> 905</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">const</span> BindableLayer* inputLayer : graph.GetInputLayers())</div>
659<div class="line"><a name="l00906"></a><span class="lineno"> 906</span>&#160; {</div>
660<div class="line"><a name="l00907"></a><span class="lineno"> 907</span>&#160; <span class="keywordflow">if</span> (importedInputIdIndex &lt; preImportedInputIds.size() &amp;&amp;</div>
661<div class="line"><a name="l00908"></a><span class="lineno"> 908</span>&#160; inputIndex == preImportedInputIds[importedInputIdIndex])</div>
662<div class="line"><a name="l00909"></a><span class="lineno"> 909</span>&#160; {</div>
663<div class="line"><a name="l00910"></a><span class="lineno"> 910</span>&#160; <span class="comment">// Only replace tensorhandles if they have not already been replaced</span></div>
664<div class="line"><a name="l00911"></a><span class="lineno"> 911</span>&#160; <span class="keywordflow">if</span> (!m_IsInputImported[inputIndex])</div>
665<div class="line"><a name="l00912"></a><span class="lineno"> 912</span>&#160; {</div>
666<div class="line"><a name="l00913"></a><span class="lineno"> 913</span>&#160; <span class="keyword">auto</span> outputTensorHandle = m_PreImportedInputHandles[inputIndex].m_TensorHandle.get();</div>
667<div class="line"><a name="l00914"></a><span class="lineno"> 914</span>&#160; </div>
668<div class="line"><a name="l00915"></a><span class="lineno"> 915</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>&amp; workloadInfo: m_InputWorkloadSlotPairs[inputLayer-&gt;GetBindingId()])</div>
669<div class="line"><a name="l00916"></a><span class="lineno"> 916</span>&#160; {</div>
670<div class="line"><a name="l00917"></a><span class="lineno"> 917</span>&#160; <span class="keyword">auto</span> workload = m_WorkloadQueue[workloadInfo.m_WorkloadIndex].get();</div>
671<div class="line"><a name="l00918"></a><span class="lineno"> 918</span>&#160; workload-&gt;ReplaceInputTensorHandle(outputTensorHandle, workloadInfo.m_SlotIndex);</div>
672<div class="line"><a name="l00919"></a><span class="lineno"> 919</span>&#160; }</div>
673<div class="line"><a name="l00920"></a><span class="lineno"> 920</span>&#160; m_IsInputImported[inputIndex] = <span class="keyword">true</span>;</div>
674<div class="line"><a name="l00921"></a><span class="lineno"> 921</span>&#160; }</div>
675<div class="line"><a name="l00922"></a><span class="lineno"> 922</span>&#160; importedInputIdIndex++;</div>
676<div class="line"><a name="l00923"></a><span class="lineno"> 923</span>&#160; }</div>
677<div class="line"><a name="l00924"></a><span class="lineno"> 924</span>&#160; <span class="keywordflow">else</span></div>
678<div class="line"><a name="l00925"></a><span class="lineno"> 925</span>&#160; {</div>
679<div class="line"><a name="l00926"></a><span class="lineno"> 926</span>&#160; <span class="keywordflow">if</span> (m_IsInputImported[inputIndex])</div>
680<div class="line"><a name="l00927"></a><span class="lineno"> 927</span>&#160; {</div>
681<div class="line"><a name="l00928"></a><span class="lineno"> 928</span>&#160; OutputHandler&amp; handler = <span class="keyword">const_cast&lt;</span>OutputHandler&amp;<span class="keyword">&gt;</span>(inputLayer-&gt;GetOutputHandler(0));</div>
682<div class="line"><a name="l00929"></a><span class="lineno"> 929</span>&#160; </div>
683<div class="line"><a name="l00930"></a><span class="lineno"> 930</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>&amp; workloadInfo: m_InputWorkloadSlotPairs[inputLayer-&gt;GetBindingId()])</div>
684<div class="line"><a name="l00931"></a><span class="lineno"> 931</span>&#160; {</div>
685<div class="line"><a name="l00932"></a><span class="lineno"> 932</span>&#160; <span class="keyword">auto</span> workload = m_WorkloadQueue[workloadInfo.m_WorkloadIndex].get();</div>
686<div class="line"><a name="l00933"></a><span class="lineno"> 933</span>&#160; workload-&gt;ReplaceInputTensorHandle(handler.GetData(), workloadInfo.m_SlotIndex);</div>
687<div class="line"><a name="l00934"></a><span class="lineno"> 934</span>&#160; }</div>
688<div class="line"><a name="l00935"></a><span class="lineno"> 935</span>&#160; </div>
689<div class="line"><a name="l00936"></a><span class="lineno"> 936</span>&#160; m_IsInputImported[inputIndex] = <span class="keyword">false</span>;</div>
690<div class="line"><a name="l00937"></a><span class="lineno"> 937</span>&#160; }</div>
691<div class="line"><a name="l00938"></a><span class="lineno"> 938</span>&#160; </div>
692<div class="line"><a name="l00939"></a><span class="lineno"> 939</span>&#160; <span class="comment">// InputTensorHandle is not imported yet, process to enqueue input</span></div>
693<div class="line"><a name="l00940"></a><span class="lineno"> 940</span>&#160; <span class="keyword">const</span> TensorPin&amp; pin = workloadData.GetInputTensorPin(inputLayer-&gt;GetBindingId());</div>
694<div class="line"><a name="l00941"></a><span class="lineno"> 941</span>&#160; EnqueueInput(*inputLayer, pin.GetTensorHandle(), pin.GetTensorInfo());</div>
695<div class="line"><a name="l00942"></a><span class="lineno"> 942</span>&#160; }</div>
696<div class="line"><a name="l00943"></a><span class="lineno"> 943</span>&#160; inputIndex++;</div>
697<div class="line"><a name="l00944"></a><span class="lineno"> 944</span>&#160; }</div>
698<div class="line"><a name="l00945"></a><span class="lineno"> 945</span>&#160; }</div>
699<div class="line"><a name="l00946"></a><span class="lineno"> 946</span>&#160; <span class="comment">// For each output to the network, call EnqueueOutput with the data passed by the user.</span></div>
700<div class="line"><a name="l00947"></a><span class="lineno"> 947</span>&#160; {</div>
701<div class="line"><a name="l00948"></a><span class="lineno"> 948</span>&#160; <a class="code" href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">&quot;PrepareOutputs&quot;</span>);</div>
702<div class="line"><a name="l00949"></a><span class="lineno"> 949</span>&#160; m_OutputQueue.clear();</div>
703<div class="line"><a name="l00950"></a><span class="lineno"> 950</span>&#160; m_OutputQueue.reserve(graph.GetNumOutputs());</div>
704<div class="line"><a name="l00951"></a><span class="lineno"> 951</span>&#160; </div>
705<div class="line"><a name="l00952"></a><span class="lineno"> 952</span>&#160; <span class="keywordflow">if</span> (preImportedOutputIds.size() &gt; graph.GetNumOutputs())</div>
706<div class="line"><a name="l00953"></a><span class="lineno"> 953</span>&#160; {</div>
707<div class="line"><a name="l00954"></a><span class="lineno"> 954</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">&quot;Invalid number of preImportedOutputIds&quot;</span>);</div>
708<div class="line"><a name="l00955"></a><span class="lineno"> 955</span>&#160; }</div>
709<div class="line"><a name="l00956"></a><span class="lineno"> 956</span>&#160; </div>
710<div class="line"><a name="l00957"></a><span class="lineno"> 957</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputIndex = 0;</div>
711<div class="line"><a name="l00958"></a><span class="lineno"> 958</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> importedOutputIdIndex = 0;</div>
712<div class="line"><a name="l00959"></a><span class="lineno"> 959</span>&#160; std::sort(preImportedOutputIds.begin(), preImportedOutputIds.end());</div>
713<div class="line"><a name="l00960"></a><span class="lineno"> 960</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">const</span> BindableLayer* outputLayer : graph.GetOutputLayers())</div>
714<div class="line"><a name="l00961"></a><span class="lineno"> 961</span>&#160; {</div>
715<div class="line"><a name="l00962"></a><span class="lineno"> 962</span>&#160; <span class="keywordflow">if</span> (importedOutputIdIndex &lt; preImportedOutputIds.size() &amp;&amp;</div>
716<div class="line"><a name="l00963"></a><span class="lineno"> 963</span>&#160; outputIndex == preImportedOutputIds[importedOutputIdIndex])</div>
717<div class="line"><a name="l00964"></a><span class="lineno"> 964</span>&#160; {</div>
718<div class="line"><a name="l00965"></a><span class="lineno"> 965</span>&#160; <span class="comment">// Only replace tensorhandles if they have not already been replaced</span></div>
719<div class="line"><a name="l00966"></a><span class="lineno"> 966</span>&#160; ITensorHandle* inputTensorHandle = m_PreImportedOutputHandles[outputIndex].m_TensorHandle.get();</div>
720<div class="line"><a name="l00967"></a><span class="lineno"> 967</span>&#160; </div>
721<div class="line"><a name="l00968"></a><span class="lineno"> 968</span>&#160; <span class="keywordflow">if</span> (!m_IsOutputImported[outputIndex])</div>
722<div class="line"><a name="l00969"></a><span class="lineno"> 969</span>&#160; {</div>
723<div class="line"><a name="l00970"></a><span class="lineno"> 970</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> bindingId = outputLayer-&gt;GetBindingId();</div>
724<div class="line"><a name="l00971"></a><span class="lineno"> 971</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span>&amp; indices = m_OutputWorkloadSlotPairs[bindingId];</div>
725<div class="line"><a name="l00972"></a><span class="lineno"> 972</span>&#160; </div>
726<div class="line"><a name="l00973"></a><span class="lineno"> 973</span>&#160; <span class="keyword">auto</span> outputWorkload = m_WorkloadQueue[indices.m_OutputSlotIndices.m_WorkloadIndex].get();</div>
727<div class="line"><a name="l00974"></a><span class="lineno"> 974</span>&#160; </div>
728<div class="line"><a name="l00975"></a><span class="lineno"> 975</span>&#160; outputWorkload-&gt;ReplaceOutputTensorHandle(inputTensorHandle,</div>
729<div class="line"><a name="l00976"></a><span class="lineno"> 976</span>&#160; indices.m_OutputSlotIndices.m_SlotIndex);</div>
730<div class="line"><a name="l00977"></a><span class="lineno"> 977</span>&#160; </div>
731<div class="line"><a name="l00978"></a><span class="lineno"> 978</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>&amp; workloadInfo: indices.m_InputSlotIndices)</div>
732<div class="line"><a name="l00979"></a><span class="lineno"> 979</span>&#160; {</div>
733<div class="line"><a name="l00980"></a><span class="lineno"> 980</span>&#160; <span class="keyword">auto</span> inputWorkload = m_WorkloadQueue[workloadInfo.m_WorkloadIndex].get();</div>
734<div class="line"><a name="l00981"></a><span class="lineno"> 981</span>&#160; inputWorkload-&gt;ReplaceInputTensorHandle(inputTensorHandle, workloadInfo.m_SlotIndex);</div>
735<div class="line"><a name="l00982"></a><span class="lineno"> 982</span>&#160; }</div>
736<div class="line"><a name="l00983"></a><span class="lineno"> 983</span>&#160; m_IsOutputImported[outputIndex] = <span class="keyword">true</span>;</div>
737<div class="line"><a name="l00984"></a><span class="lineno"> 984</span>&#160; }</div>
738<div class="line"><a name="l00985"></a><span class="lineno"> 985</span>&#160; </div>
739<div class="line"><a name="l00986"></a><span class="lineno"> 986</span>&#160; <span class="keywordflow">if</span> (!inputTensorHandle)</div>
740<div class="line"><a name="l00987"></a><span class="lineno"> 987</span>&#160; {</div>
741<div class="line"><a name="l00988"></a><span class="lineno"> 988</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_null_pointer_exception.html">armnn::NullPointerException</a>(<span class="stringliteral">&quot;Data should have been allocated.&quot;</span>);</div>
742<div class="line"><a name="l00989"></a><span class="lineno"> 989</span>&#160; }</div>
743<div class="line"><a name="l00990"></a><span class="lineno"> 990</span>&#160; </div>
744<div class="line"><a name="l00991"></a><span class="lineno"> 991</span>&#160; MemSyncQueueDescriptor syncDesc;</div>
745<div class="line"><a name="l00992"></a><span class="lineno"> 992</span>&#160; syncDesc.m_Inputs.push_back(inputTensorHandle);</div>
746<div class="line"><a name="l00993"></a><span class="lineno"> 993</span>&#160; WorkloadInfo <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div>
747<div class="line"><a name="l00994"></a><span class="lineno"> 994</span>&#160; <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos.push_back(outputLayer-&gt;GetInputSlot(0).GetTensorInfo());</div>
748<div class="line"><a name="l00995"></a><span class="lineno"> 995</span>&#160; </div>
749<div class="line"><a name="l00996"></a><span class="lineno"> 996</span>&#160; <span class="keyword">auto</span> syncWorkload = std::make_unique&lt;SyncMemGenericWorkload&gt;(syncDesc, info);</div>
750<div class="line"><a name="l00997"></a><span class="lineno"> 997</span>&#160; <span class="keywordflow">if</span> (!syncWorkload)</div>
751<div class="line"><a name="l00998"></a><span class="lineno"> 998</span>&#160; {</div>
752<div class="line"><a name="l00999"></a><span class="lineno"> 999</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_null_pointer_exception.html">armnn::NullPointerException</a>(<span class="stringliteral">&quot;No sync workload created&quot;</span>);</div>
753<div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>&#160; }</div>
754<div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>&#160; </div>
755<div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>&#160; m_OutputQueue.push_back(std::move(syncWorkload));</div>
756<div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>&#160; importedOutputIdIndex++;</div>
757<div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>&#160; }</div>
758<div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>&#160; <span class="keywordflow">else</span></div>
759<div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>&#160; {</div>
760<div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>&#160; <span class="keywordflow">if</span> (m_IsOutputImported[outputIndex])</div>
761<div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>&#160; {</div>
762<div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> bindingId = outputLayer-&gt;GetBindingId();</div>
763<div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span>&amp; indices = m_OutputWorkloadSlotPairs[bindingId];</div>
764<div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>&#160; </div>
765<div class="line"><a name="l01012"></a><span class="lineno"> 1012</span>&#160; <span class="keyword">auto</span> outputWorkload = m_WorkloadQueue[indices.m_OutputSlotIndices.m_WorkloadIndex].get();</div>
766<div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>&#160; <span class="keyword">const</span> OutputHandler&amp; outputHandler =</div>
767<div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>&#160; outputLayer-&gt;GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetOutputHandler();</div>
768<div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>&#160; </div>
769<div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>&#160; outputWorkload-&gt;ReplaceOutputTensorHandle(</div>
770<div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>&#160; outputHandler.GetData(), indices.m_OutputSlotIndices.m_SlotIndex);</div>
771<div class="line"><a name="l01018"></a><span class="lineno"> 1018</span>&#160; </div>
772<div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>&amp; workloadInfo: indices.m_InputSlotIndices)</div>
773<div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>&#160; {</div>
774<div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>&#160; <span class="keyword">auto</span> inputWorkload = m_WorkloadQueue[workloadInfo.m_WorkloadIndex].get();</div>
775<div class="line"><a name="l01022"></a><span class="lineno"> 1022</span>&#160; inputWorkload-&gt;ReplaceInputTensorHandle(outputHandler.GetData(), workloadInfo.m_SlotIndex);</div>
776<div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>&#160; }</div>
777<div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>&#160; m_IsOutputImported[outputIndex] = <span class="keyword">false</span>;</div>
778<div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>&#160; }</div>
779<div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>&#160; </div>
780<div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>&#160; <span class="keyword">const</span> TensorPin&amp; pin = workloadData.GetOutputTensorPin(outputLayer-&gt;GetBindingId());</div>
781<div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>&#160; <span class="comment">// OutputTensorHandle is not imported yet, process to enqueue Output</span></div>
782<div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>&#160; EnqueueOutput(*outputLayer, pin.GetTensorHandle(), pin.GetTensorInfo());</div>
783<div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>&#160; }</div>
784<div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>&#160; outputIndex++;</div>
785<div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>&#160; }</div>
786<div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>&#160; }</div>
787<div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>&#160; </div>
788<div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>&#160; std::unique_ptr&lt;TimelineUtilityMethods&gt; timelineUtils =</div>
789<div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>&#160; TimelineUtilityMethods::GetTimelineUtils(*m_ProfilingService);</div>
790<div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>&#160; ProfilingGuid inferenceGuid = m_ProfilingService-&gt;GetNextGuid();</div>
791<div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>&#160; <span class="keywordflow">if</span> (timelineUtils)</div>
792<div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>&#160; {</div>
793<div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>&#160; <span class="comment">// Add inference timeline trace if profiling is enabled.</span></div>
794<div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>&#160; ProfilingGuid networkGuid = m_OptimizedNetwork-&gt;GetGuid();</div>
795<div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>&#160; timelineUtils-&gt;CreateTypedEntity(inferenceGuid, LabelsAndEventClasses::INFERENCE_GUID);</div>
796<div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>&#160; timelineUtils-&gt;CreateRelationship(ProfilingRelationshipType::RetentionLink,</div>
797<div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>&#160; networkGuid,</div>
798<div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>&#160; inferenceGuid,</div>
799<div class="line"><a name="l01046"></a><span class="lineno"> 1046</span>&#160; LabelsAndEventClasses::EXECUTION_OF_GUID);</div>
800<div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>&#160; timelineUtils-&gt;RecordEvent(inferenceGuid, LabelsAndEventClasses::ARMNN_PROFILING_SOL_EVENT_CLASS);</div>
801<div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>&#160; }</div>
802<div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>&#160; </div>
803<div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>&#160; <span class="keywordtype">bool</span> executionSucceeded = <span class="keyword">true</span>;</div>
804<div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>&#160; </div>
805<div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>&#160; {</div>
806<div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>&#160; <span class="keywordflow">if</span> (m_ProfilingService-&gt;IsProfilingEnabled())</div>
807<div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>&#160; {</div>
808<div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>&#160; m_ProfilingService-&gt;IncrementCounterValue(INFERENCES_RUN);</div>
809<div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>&#160; }</div>
810<div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>&#160; <a class="code" href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">&quot;Execute&quot;</span>);</div>
811<div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>&#160; <a class="code" href="_heap_profiling_8hpp.html#aeeb927880fc4ffc2eea754a67d884a53">ARMNN_SCOPED_HEAP_PROFILING</a>(<span class="stringliteral">&quot;Executing&quot;</span>);</div>
812<div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>&#160; executionSucceeded = <a class="code" href="classarmnn_1_1_loaded_network.html#a95b1c23f6f296a0c39383bef20fdd46a">Execute</a>(timelineUtils, inferenceGuid);</div>
813<div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>&#160; }</div>
814<div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>&#160; </div>
815<div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>&#160; <span class="keywordflow">if</span> (timelineUtils)</div>
816<div class="line"><a name="l01063"></a><span class="lineno"> 1063</span>&#160; {</div>
817<div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>&#160; <span class="comment">// Add end of life of the inference timeline if profiling is enabled.</span></div>
818<div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>&#160; timelineUtils-&gt;RecordEvent(inferenceGuid, LabelsAndEventClasses::ARMNN_PROFILING_EOL_EVENT_CLASS);</div>
819<div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>&#160; timelineUtils-&gt;Commit();</div>
820<div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>&#160; }</div>
821<div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>&#160; </div>
822<div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>&#160; <span class="keywordflow">return</span> executionSucceeded ? <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">Status::Success</a> : <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70bae139a585510a502bbf1841cf589f5086">Status::Failure</a>;</div>
823<div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>&#160;}</div>
824</div><!-- fragment -->
825<p class="reference">References <a class="el" href="_logging_8hpp_source.html#l00212">ARMNN_LOG</a>, <a class="el" href="_profiling_8hpp_source.html#l00220">ARMNN_SCOPED_PROFILING_EVENT</a>, <a class="el" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70bae139a585510a502bbf1841cf589f5086">armnn::Failure</a>, <a class="el" href="_output_handler_8hpp_source.html#l00046">OutputHandler::GetData()</a>, <a class="el" href="_graph_8hpp_source.html#l00199">Graph::GetInputLayers()</a>, <a class="el" href="_graph_8hpp_source.html#l00194">Graph::GetNumInputs()</a>, <a class="el" href="_graph_8hpp_source.html#l00205">Graph::GetNumLayers()</a>, <a class="el" href="_graph_8hpp_source.html#l00195">Graph::GetNumOutputs()</a>, <a class="el" href="_graph_8hpp_source.html#l00203">Graph::GetOutputLayers()</a>, <a class="el" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_workload_data_8hpp_source.html#l00026">QueueDescriptor::m_Inputs</a>, <a class="el" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">armnn::Undefined</a>, and <a class="el" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd">armnn::warning</a>.</p>
826
827<p class="reference">Referenced by <a class="el" href="_runtime_8cpp_source.html#l00647">RuntimeImpl::EnqueueWorkload()</a>.</p>
828
829</div>
830</div>
831<a id="a95b1c23f6f296a0c39383bef20fdd46a"></a>
832<h2 class="memtitle"><span class="permalink"><a href="#a95b1c23f6f296a0c39383bef20fdd46a">&#9670;&nbsp;</a></span>Execute()</h2>
833
834<div class="memitem">
835<div class="memproto">
836 <table class="memname">
837 <tr>
838 <td class="memname"><a class="el" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> Execute </td>
839 <td>(</td>
840 <td class="paramtype">const <a class="el" href="namespacearmnn.html#aa01bce88f89975a5a031db4cc8861527">InputTensors</a> &amp;&#160;</td>
841 <td class="paramname"><em>inputTensors</em>, </td>
842 </tr>
843 <tr>
844 <td class="paramkey"></td>
845 <td></td>
846 <td class="paramtype">const <a class="el" href="namespacearmnn.html#a8f091a512915d1cb29a4ebf13dfc53ea">OutputTensors</a> &amp;&#160;</td>
847 <td class="paramname"><em>outputTensors</em>, </td>
848 </tr>
849 <tr>
850 <td class="paramkey"></td>
851 <td></td>
852 <td class="paramtype"><a class="el" href="classarmnn_1_1experimental_1_1_i_working_mem_handle.html">IWorkingMemHandle</a> &amp;&#160;</td>
853 <td class="paramname"><em>workingMemHandle</em>, </td>
854 </tr>
855 <tr>
856 <td class="paramkey"></td>
857 <td></td>
858 <td class="paramtype">std::vector&lt; <a class="el" href="namespacearmnn.html#a1c5ec805688cb558465a82a8d9f56a90">ImportedInputId</a> &gt;&#160;</td>
859 <td class="paramname"><em>preImportedInputs</em> = <code>{}</code>, </td>
860 </tr>
861 <tr>
862 <td class="paramkey"></td>
863 <td></td>
864 <td class="paramtype">std::vector&lt; <a class="el" href="namespacearmnn.html#ac68a434f0e78e33726bfb22a39ec813f">ImportedOutputId</a> &gt;&#160;</td>
865 <td class="paramname"><em>preImportedOutputs</em> = <code>{}</code>&#160;</td>
866 </tr>
867 <tr>
868 <td></td>
869 <td>)</td>
870 <td></td><td></td>
871 </tr>
872 </table>
873</div><div class="memdoc">
874
875<p>Thread safe execution of the loaded network. </p>
876
877<p class="definition">Definition at line <a class="el" href="_loaded_network_8cpp_source.html#l01803">1803</a> of file <a class="el" href="_loaded_network_8cpp_source.html">LoadedNetwork.cpp</a>.</p>
878<div class="fragment"><div class="line"><a name="l01808"></a><span class="lineno"> 1808</span>&#160;{</div>
879<div class="line"><a name="l01809"></a><span class="lineno"> 1809</span>&#160; <span class="keyword">const</span> Graph&amp; graph = m_OptimizedNetwork-&gt;pOptimizedNetworkImpl-&gt;GetGraph();</div>
880<div class="line"><a name="l01810"></a><span class="lineno"> 1810</span>&#160; </div>
881<div class="line"><a name="l01811"></a><span class="lineno"> 1811</span>&#160; <span class="keywordflow">if</span> (inputTensors.size() + preImportedInputs.size() != graph.GetNumInputs())</div>
882<div class="line"><a name="l01812"></a><span class="lineno"> 1812</span>&#160; {</div>
883<div class="line"><a name="l01813"></a><span class="lineno"> 1813</span>&#160; <span class="keywordflow">if</span> (preImportedInputs.empty())</div>
884<div class="line"><a name="l01814"></a><span class="lineno"> 1814</span>&#160; {</div>
885<div class="line"><a name="l01815"></a><span class="lineno"> 1815</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">&quot;LoadedNetwork::Execute: Number of inputs provided does not match network.&quot;</span>);</div>
886<div class="line"><a name="l01816"></a><span class="lineno"> 1816</span>&#160; }</div>
887<div class="line"><a name="l01817"></a><span class="lineno"> 1817</span>&#160; <span class="keywordflow">else</span></div>
888<div class="line"><a name="l01818"></a><span class="lineno"> 1818</span>&#160; {</div>
889<div class="line"><a name="l01819"></a><span class="lineno"> 1819</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">&quot;LoadedNetwork::Execute: &quot;</span></div>
890<div class="line"><a name="l01820"></a><span class="lineno"> 1820</span>&#160; <span class="stringliteral">&quot;Number of inputs + preImportedInputs provided does not match network.&quot;</span>);</div>
891<div class="line"><a name="l01821"></a><span class="lineno"> 1821</span>&#160; }</div>
892<div class="line"><a name="l01822"></a><span class="lineno"> 1822</span>&#160; }</div>
893<div class="line"><a name="l01823"></a><span class="lineno"> 1823</span>&#160; </div>
894<div class="line"><a name="l01824"></a><span class="lineno"> 1824</span>&#160; <span class="keywordflow">if</span> (outputTensors.size() + preImportedOutputs.size() != graph.GetNumOutputs())</div>
895<div class="line"><a name="l01825"></a><span class="lineno"> 1825</span>&#160; {</div>
896<div class="line"><a name="l01826"></a><span class="lineno"> 1826</span>&#160; <span class="keywordflow">if</span> (preImportedOutputs.empty())</div>
897<div class="line"><a name="l01827"></a><span class="lineno"> 1827</span>&#160; {</div>
898<div class="line"><a name="l01828"></a><span class="lineno"> 1828</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">&quot;LoadedNetwork::Execute: &quot;</span></div>
899<div class="line"><a name="l01829"></a><span class="lineno"> 1829</span>&#160; <span class="stringliteral">&quot;Number of outputs provided does not match network.&quot;</span>);</div>
900<div class="line"><a name="l01830"></a><span class="lineno"> 1830</span>&#160; }</div>
901<div class="line"><a name="l01831"></a><span class="lineno"> 1831</span>&#160; <span class="keywordflow">else</span></div>
902<div class="line"><a name="l01832"></a><span class="lineno"> 1832</span>&#160; {</div>
903<div class="line"><a name="l01833"></a><span class="lineno"> 1833</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">&quot;LoadedNetwork::Execute: &quot;</span></div>
904<div class="line"><a name="l01834"></a><span class="lineno"> 1834</span>&#160; <span class="stringliteral">&quot;Number of outputs + preImportedOutputs provided does not match network.&quot;</span>);</div>
905<div class="line"><a name="l01835"></a><span class="lineno"> 1835</span>&#160; }</div>
906<div class="line"><a name="l01836"></a><span class="lineno"> 1836</span>&#160; }</div>
907<div class="line"><a name="l01837"></a><span class="lineno"> 1837</span>&#160; </div>
908<div class="line"><a name="l01838"></a><span class="lineno"> 1838</span>&#160; WorkingMemHandle&amp; workingMemHandle = <span class="keyword">dynamic_cast&lt;</span>WorkingMemHandle&amp;<span class="keyword">&gt;</span>(iWorkingMemHandle);</div>
909<div class="line"><a name="l01839"></a><span class="lineno"> 1839</span>&#160; <span class="comment">// Collect all the given LayerBindingIds and check them for duplicates and unknowns.</span></div>
910<div class="line"><a name="l01840"></a><span class="lineno"> 1840</span>&#160; std::vector&lt;LayerBindingId&gt;&amp; bindingIds = workingMemHandle.GetBindingIdVector();</div>
911<div class="line"><a name="l01841"></a><span class="lineno"> 1841</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index = 0;</div>
912<div class="line"><a name="l01842"></a><span class="lineno"> 1842</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> pair : inputTensors)</div>
913<div class="line"><a name="l01843"></a><span class="lineno"> 1843</span>&#160; {</div>
914<div class="line"><a name="l01844"></a><span class="lineno"> 1844</span>&#160; bindingIds[index++] = pair.first;</div>
915<div class="line"><a name="l01845"></a><span class="lineno"> 1845</span>&#160; }</div>
916<div class="line"><a name="l01846"></a><span class="lineno"> 1846</span>&#160; <span class="keywordflow">for</span> (<a class="code" href="namespacearmnn.html#a1c5ec805688cb558465a82a8d9f56a90">ImportedInputId</a> <span class="keywordtype">id</span> : preImportedInputs)</div>
917<div class="line"><a name="l01847"></a><span class="lineno"> 1847</span>&#160; {</div>
918<div class="line"><a name="l01848"></a><span class="lineno"> 1848</span>&#160; bindingIds[index++] = ValidateImportedInputID(<span class="keywordtype">id</span>);</div>
919<div class="line"><a name="l01849"></a><span class="lineno"> 1849</span>&#160; }</div>
920<div class="line"><a name="l01850"></a><span class="lineno"> 1850</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> pair : outputTensors)</div>
921<div class="line"><a name="l01851"></a><span class="lineno"> 1851</span>&#160; {</div>
922<div class="line"><a name="l01852"></a><span class="lineno"> 1852</span>&#160; bindingIds[index++] = pair.first;</div>
923<div class="line"><a name="l01853"></a><span class="lineno"> 1853</span>&#160; }</div>
924<div class="line"><a name="l01854"></a><span class="lineno"> 1854</span>&#160; <span class="keywordflow">for</span> (<a class="code" href="namespacearmnn.html#ac68a434f0e78e33726bfb22a39ec813f">ImportedOutputId</a> <span class="keywordtype">id</span> : preImportedOutputs)</div>
925<div class="line"><a name="l01855"></a><span class="lineno"> 1855</span>&#160; {</div>
926<div class="line"><a name="l01856"></a><span class="lineno"> 1856</span>&#160; bindingIds[index++] = ValidateImportedOutputID(<span class="keywordtype">id</span>);</div>
927<div class="line"><a name="l01857"></a><span class="lineno"> 1857</span>&#160; }</div>
928<div class="line"><a name="l01858"></a><span class="lineno"> 1858</span>&#160; </div>
929<div class="line"><a name="l01859"></a><span class="lineno"> 1859</span>&#160; workingMemHandle.ValidateBindingIds();</div>
930<div class="line"><a name="l01860"></a><span class="lineno"> 1860</span>&#160; </div>
931<div class="line"><a name="l01861"></a><span class="lineno"> 1861</span>&#160; <span class="keyword">auto</span> resetMemHandle = [&amp;]()</div>
932<div class="line"><a name="l01862"></a><span class="lineno"> 1862</span>&#160; {</div>
933<div class="line"><a name="l01863"></a><span class="lineno"> 1863</span>&#160; <span class="keywordflow">for</span> (<a class="code" href="namespacearmnn.html#a1c5ec805688cb558465a82a8d9f56a90">ImportedInputId</a> <span class="keywordtype">id</span>: preImportedInputs)</div>
934<div class="line"><a name="l01864"></a><span class="lineno"> 1864</span>&#160; {</div>
935<div class="line"><a name="l01865"></a><span class="lineno"> 1865</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> layerBindingId = m_PreImportedInputHandles[id].m_LayerBindingId;</div>
936<div class="line"><a name="l01866"></a><span class="lineno"> 1866</span>&#160; </div>
937<div class="line"><a name="l01867"></a><span class="lineno"> 1867</span>&#160; <span class="keyword">auto</span> inputHandle = workingMemHandle.GetInputHandle(layerBindingId);</div>
938<div class="line"><a name="l01868"></a><span class="lineno"> 1868</span>&#160; <span class="keyword">auto</span> inputConnections = workingMemHandle.GetInputConnections(layerBindingId);</div>
939<div class="line"><a name="l01869"></a><span class="lineno"> 1869</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> it : inputConnections)</div>
940<div class="line"><a name="l01870"></a><span class="lineno"> 1870</span>&#160; {</div>
941<div class="line"><a name="l01871"></a><span class="lineno"> 1871</span>&#160; *it = inputHandle;</div>
942<div class="line"><a name="l01872"></a><span class="lineno"> 1872</span>&#160; }</div>
943<div class="line"><a name="l01873"></a><span class="lineno"> 1873</span>&#160; }</div>
944<div class="line"><a name="l01874"></a><span class="lineno"> 1874</span>&#160; </div>
945<div class="line"><a name="l01875"></a><span class="lineno"> 1875</span>&#160; <span class="keywordflow">for</span> (<a class="code" href="namespacearmnn.html#ac68a434f0e78e33726bfb22a39ec813f">ImportedOutputId</a> <span class="keywordtype">id</span>: preImportedOutputs)</div>
946<div class="line"><a name="l01876"></a><span class="lineno"> 1876</span>&#160; {</div>
947<div class="line"><a name="l01877"></a><span class="lineno"> 1877</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> layerBindingId = m_PreImportedOutputHandles[id].m_LayerBindingId;</div>
948<div class="line"><a name="l01878"></a><span class="lineno"> 1878</span>&#160; </div>
949<div class="line"><a name="l01879"></a><span class="lineno"> 1879</span>&#160; <span class="keyword">auto</span> outputHandle = workingMemHandle.GetOutputHandle(layerBindingId);</div>
950<div class="line"><a name="l01880"></a><span class="lineno"> 1880</span>&#160; <span class="keyword">auto</span> outputConnections = workingMemHandle.GetOutputConnection(layerBindingId);</div>
951<div class="line"><a name="l01881"></a><span class="lineno"> 1881</span>&#160; </div>
952<div class="line"><a name="l01882"></a><span class="lineno"> 1882</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> it : outputConnections)</div>
953<div class="line"><a name="l01883"></a><span class="lineno"> 1883</span>&#160; {</div>
954<div class="line"><a name="l01884"></a><span class="lineno"> 1884</span>&#160; *it = outputHandle;</div>
955<div class="line"><a name="l01885"></a><span class="lineno"> 1885</span>&#160; }</div>
956<div class="line"><a name="l01886"></a><span class="lineno"> 1886</span>&#160; }</div>
957<div class="line"><a name="l01887"></a><span class="lineno"> 1887</span>&#160; };</div>
958<div class="line"><a name="l01888"></a><span class="lineno"> 1888</span>&#160; </div>
959<div class="line"><a name="l01889"></a><span class="lineno"> 1889</span>&#160; std::unique_ptr&lt;TimelineUtilityMethods&gt; timelineUtils =</div>
960<div class="line"><a name="l01890"></a><span class="lineno"> 1890</span>&#160; TimelineUtilityMethods::GetTimelineUtils(*m_ProfilingService);</div>
961<div class="line"><a name="l01891"></a><span class="lineno"> 1891</span>&#160; ProfilingGuid inferenceGuid = m_ProfilingService-&gt;GetNextGuid();</div>
962<div class="line"><a name="l01892"></a><span class="lineno"> 1892</span>&#160; <span class="keywordflow">if</span> (timelineUtils)</div>
963<div class="line"><a name="l01893"></a><span class="lineno"> 1893</span>&#160; {</div>
964<div class="line"><a name="l01894"></a><span class="lineno"> 1894</span>&#160; <span class="comment">// Add inference timeline trace if profiling is enabled.</span></div>
965<div class="line"><a name="l01895"></a><span class="lineno"> 1895</span>&#160; ProfilingGuid networkGuid = m_OptimizedNetwork-&gt;GetGuid();</div>
966<div class="line"><a name="l01896"></a><span class="lineno"> 1896</span>&#160; timelineUtils-&gt;CreateTypedEntity(inferenceGuid,LabelsAndEventClasses::INFERENCE_GUID);</div>
967<div class="line"><a name="l01897"></a><span class="lineno"> 1897</span>&#160; timelineUtils-&gt;CreateRelationship(ProfilingRelationshipType::RetentionLink,</div>
968<div class="line"><a name="l01898"></a><span class="lineno"> 1898</span>&#160; networkGuid,</div>
969<div class="line"><a name="l01899"></a><span class="lineno"> 1899</span>&#160; inferenceGuid,</div>
970<div class="line"><a name="l01900"></a><span class="lineno"> 1900</span>&#160; LabelsAndEventClasses::EXECUTION_OF_GUID);</div>
971<div class="line"><a name="l01901"></a><span class="lineno"> 1901</span>&#160; timelineUtils-&gt;RecordEvent(inferenceGuid,LabelsAndEventClasses::ARMNN_PROFILING_SOL_EVENT_CLASS);</div>
972<div class="line"><a name="l01902"></a><span class="lineno"> 1902</span>&#160; }</div>
973<div class="line"><a name="l01903"></a><span class="lineno"> 1903</span>&#160; </div>
974<div class="line"><a name="l01904"></a><span class="lineno"> 1904</span>&#160; <span class="keywordtype">bool</span> executionSucceeded = <span class="keyword">true</span>;</div>
975<div class="line"><a name="l01905"></a><span class="lineno"> 1905</span>&#160; </div>
976<div class="line"><a name="l01906"></a><span class="lineno"> 1906</span>&#160; <span class="keywordflow">if</span> (timelineUtils)</div>
977<div class="line"><a name="l01907"></a><span class="lineno"> 1907</span>&#160; {</div>
978<div class="line"><a name="l01908"></a><span class="lineno"> 1908</span>&#160; <span class="comment">// Add end of life of the inference timeline if profiling is enabled.</span></div>
979<div class="line"><a name="l01909"></a><span class="lineno"> 1909</span>&#160; timelineUtils-&gt;RecordEvent(inferenceGuid,LabelsAndEventClasses::ARMNN_PROFILING_EOL_EVENT_CLASS);</div>
980<div class="line"><a name="l01910"></a><span class="lineno"> 1910</span>&#160; timelineUtils-&gt;Commit();</div>
981<div class="line"><a name="l01911"></a><span class="lineno"> 1911</span>&#160; }</div>
982<div class="line"><a name="l01912"></a><span class="lineno"> 1912</span>&#160; </div>
983<div class="line"><a name="l01913"></a><span class="lineno"> 1913</span>&#160; <span class="keywordflow">if</span> (!workingMemHandle.IsAllocated())</div>
984<div class="line"><a name="l01914"></a><span class="lineno"> 1914</span>&#160; {</div>
985<div class="line"><a name="l01915"></a><span class="lineno"> 1915</span>&#160; workingMemHandle.Allocate();</div>
986<div class="line"><a name="l01916"></a><span class="lineno"> 1916</span>&#160; }</div>
987<div class="line"><a name="l01917"></a><span class="lineno"> 1917</span>&#160; </div>
988<div class="line"><a name="l01918"></a><span class="lineno"> 1918</span>&#160; {</div>
989<div class="line"><a name="l01919"></a><span class="lineno"> 1919</span>&#160; <a class="code" href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">&quot;PrepareInputs&quot;</span>);</div>
990<div class="line"><a name="l01920"></a><span class="lineno"> 1920</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> pair : inputTensors)</div>
991<div class="line"><a name="l01921"></a><span class="lineno"> 1921</span>&#160; {</div>
992<div class="line"><a name="l01922"></a><span class="lineno"> 1922</span>&#160; EnqueueInput(pair.second, workingMemHandle.GetInputHandle(pair.first));</div>
993<div class="line"><a name="l01923"></a><span class="lineno"> 1923</span>&#160; }</div>
994<div class="line"><a name="l01924"></a><span class="lineno"> 1924</span>&#160; </div>
995<div class="line"><a name="l01925"></a><span class="lineno"> 1925</span>&#160; <span class="comment">// Swap in the pre-imported inputs if any</span></div>
996<div class="line"><a name="l01926"></a><span class="lineno"> 1926</span>&#160; <span class="keywordflow">for</span> (<a class="code" href="namespacearmnn.html#a1c5ec805688cb558465a82a8d9f56a90">ImportedInputId</a> <span class="keywordtype">id</span> : preImportedInputs)</div>
997<div class="line"><a name="l01927"></a><span class="lineno"> 1927</span>&#160; {</div>
998<div class="line"><a name="l01928"></a><span class="lineno"> 1928</span>&#160; <span class="keyword">const</span> ImportedTensorHandlePin&amp; importedInputPin = m_PreImportedInputHandles[id];</div>
999<div class="line"><a name="l01929"></a><span class="lineno"> 1929</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> layerBindingId = m_PreImportedInputHandles[id].m_LayerBindingId;</div>
1000<div class="line"><a name="l01930"></a><span class="lineno"> 1930</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span>&amp; preimportedHandle = importedInputPin.m_TensorHandle;</div>
1001<div class="line"><a name="l01931"></a><span class="lineno"> 1931</span>&#160; </div>
1002<div class="line"><a name="l01932"></a><span class="lineno"> 1932</span>&#160; <span class="keyword">auto</span> inputConnections = workingMemHandle.GetInputConnections(layerBindingId);</div>
1003<div class="line"><a name="l01933"></a><span class="lineno"> 1933</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> it : inputConnections)</div>
1004<div class="line"><a name="l01934"></a><span class="lineno"> 1934</span>&#160; {</div>
1005<div class="line"><a name="l01935"></a><span class="lineno"> 1935</span>&#160; *it = preimportedHandle.get();</div>
1006<div class="line"><a name="l01936"></a><span class="lineno"> 1936</span>&#160; }</div>
1007<div class="line"><a name="l01937"></a><span class="lineno"> 1937</span>&#160; }</div>
1008<div class="line"><a name="l01938"></a><span class="lineno"> 1938</span>&#160; }</div>
1009<div class="line"><a name="l01939"></a><span class="lineno"> 1939</span>&#160; {</div>
1010<div class="line"><a name="l01940"></a><span class="lineno"> 1940</span>&#160; <a class="code" href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">&quot;PrepareOutputs&quot;</span>);</div>
1011<div class="line"><a name="l01941"></a><span class="lineno"> 1941</span>&#160; <span class="keywordflow">if</span> (m_NetworkProperties.<a class="code" href="structarmnn_1_1_i_network_properties.html#a3266436db920d1ca96b0afaadacf3972">m_OutputSource</a> != <a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">MemorySource::Undefined</a>)</div>
1012<div class="line"><a name="l01942"></a><span class="lineno"> 1942</span>&#160; {</div>
1013<div class="line"><a name="l01943"></a><span class="lineno"> 1943</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> pair: outputTensors)</div>
1014<div class="line"><a name="l01944"></a><span class="lineno"> 1944</span>&#160; {</div>
1015<div class="line"><a name="l01945"></a><span class="lineno"> 1945</span>&#160; ImportOutputTensor(pair.second, workingMemHandle.GetOutputHandle(pair.first));</div>
1016<div class="line"><a name="l01946"></a><span class="lineno"> 1946</span>&#160; }</div>
1017<div class="line"><a name="l01947"></a><span class="lineno"> 1947</span>&#160; }</div>
1018<div class="line"><a name="l01948"></a><span class="lineno"> 1948</span>&#160; </div>
1019<div class="line"><a name="l01949"></a><span class="lineno"> 1949</span>&#160; <span class="keywordflow">for</span> (<a class="code" href="namespacearmnn.html#ac68a434f0e78e33726bfb22a39ec813f">ImportedOutputId</a> <span class="keywordtype">id</span> : preImportedOutputs)</div>
1020<div class="line"><a name="l01950"></a><span class="lineno"> 1950</span>&#160; {</div>
1021<div class="line"><a name="l01951"></a><span class="lineno"> 1951</span>&#160; <span class="keyword">const</span> ImportedTensorHandlePin&amp; importedOutputPin = m_PreImportedOutputHandles[id];</div>
1022<div class="line"><a name="l01952"></a><span class="lineno"> 1952</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> layerBindingId = m_PreImportedOutputHandles[id].m_LayerBindingId;</div>
1023<div class="line"><a name="l01953"></a><span class="lineno"> 1953</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span>&amp; preimportedHandle = importedOutputPin.m_TensorHandle;</div>
1024<div class="line"><a name="l01954"></a><span class="lineno"> 1954</span>&#160; </div>
1025<div class="line"><a name="l01955"></a><span class="lineno"> 1955</span>&#160; <span class="keyword">auto</span> outputConnections = workingMemHandle.GetOutputConnection(layerBindingId);</div>
1026<div class="line"><a name="l01956"></a><span class="lineno"> 1956</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> it : outputConnections)</div>
1027<div class="line"><a name="l01957"></a><span class="lineno"> 1957</span>&#160; {</div>
1028<div class="line"><a name="l01958"></a><span class="lineno"> 1958</span>&#160; *it = preimportedHandle.get();</div>
1029<div class="line"><a name="l01959"></a><span class="lineno"> 1959</span>&#160; }</div>
1030<div class="line"><a name="l01960"></a><span class="lineno"> 1960</span>&#160; }</div>
1031<div class="line"><a name="l01961"></a><span class="lineno"> 1961</span>&#160; }</div>
1032<div class="line"><a name="l01962"></a><span class="lineno"> 1962</span>&#160; </div>
1033<div class="line"><a name="l01963"></a><span class="lineno"> 1963</span>&#160; <span class="keyword">auto</span> Fail = [&amp;](<span class="keyword">const</span> std::exception&amp; <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acb5e100e5a9a3e7f6d1fd97512215282">error</a>)</div>
1034<div class="line"><a name="l01964"></a><span class="lineno"> 1964</span>&#160; {</div>
1035<div class="line"><a name="l01965"></a><span class="lineno"> 1965</span>&#160; <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(error) &lt;&lt; <span class="stringliteral">&quot;An error occurred attempting to execute a workload: &quot;</span> &lt;&lt; <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acb5e100e5a9a3e7f6d1fd97512215282">error</a>.what();</div>
1036<div class="line"><a name="l01966"></a><span class="lineno"> 1966</span>&#160; executionSucceeded = <span class="keyword">false</span>;</div>
1037<div class="line"><a name="l01967"></a><span class="lineno"> 1967</span>&#160; };</div>
1038<div class="line"><a name="l01968"></a><span class="lineno"> 1968</span>&#160; ProfilingDynamicGuid workloadInferenceID(0);</div>
1039<div class="line"><a name="l01969"></a><span class="lineno"> 1969</span>&#160; </div>
1040<div class="line"><a name="l01970"></a><span class="lineno"> 1970</span>&#160; <span class="keywordflow">try</span></div>
1041<div class="line"><a name="l01971"></a><span class="lineno"> 1971</span>&#160; {</div>
1042<div class="line"><a name="l01972"></a><span class="lineno"> 1972</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; m_WorkloadQueue.size(); ++i)</div>
1043<div class="line"><a name="l01973"></a><span class="lineno"> 1973</span>&#160; {</div>
1044<div class="line"><a name="l01974"></a><span class="lineno"> 1974</span>&#160; <span class="keyword">auto</span>&amp; workload = m_WorkloadQueue[i];</div>
1045<div class="line"><a name="l01975"></a><span class="lineno"> 1975</span>&#160; <span class="keywordflow">if</span> (timelineUtils)</div>
1046<div class="line"><a name="l01976"></a><span class="lineno"> 1976</span>&#160; {</div>
1047<div class="line"><a name="l01977"></a><span class="lineno"> 1977</span>&#160; workloadInferenceID = timelineUtils-&gt;RecordWorkloadInferenceAndStartOfLifeEvent(workload-&gt;GetGuid(),</div>
1048<div class="line"><a name="l01978"></a><span class="lineno"> 1978</span>&#160; inferenceGuid);</div>
1049<div class="line"><a name="l01979"></a><span class="lineno"> 1979</span>&#160; }</div>
1050<div class="line"><a name="l01980"></a><span class="lineno"> 1980</span>&#160; </div>
1051<div class="line"><a name="l01981"></a><span class="lineno"> 1981</span>&#160; workload-&gt;ExecuteAsync(workingMemHandle.GetExecutionDataAt(i).second);</div>
1052<div class="line"><a name="l01982"></a><span class="lineno"> 1982</span>&#160; </div>
1053<div class="line"><a name="l01983"></a><span class="lineno"> 1983</span>&#160; <span class="keywordflow">if</span> (timelineUtils)</div>
1054<div class="line"><a name="l01984"></a><span class="lineno"> 1984</span>&#160; {</div>
1055<div class="line"><a name="l01985"></a><span class="lineno"> 1985</span>&#160; timelineUtils-&gt;RecordEndOfLifeEvent(workloadInferenceID);</div>
1056<div class="line"><a name="l01986"></a><span class="lineno"> 1986</span>&#160; }</div>
1057<div class="line"><a name="l01987"></a><span class="lineno"> 1987</span>&#160; }</div>
1058<div class="line"><a name="l01988"></a><span class="lineno"> 1988</span>&#160; }</div>
1059<div class="line"><a name="l01989"></a><span class="lineno"> 1989</span>&#160; <span class="keywordflow">catch</span> (<span class="keyword">const</span> RuntimeException&amp; error)</div>
1060<div class="line"><a name="l01990"></a><span class="lineno"> 1990</span>&#160; {</div>
1061<div class="line"><a name="l01991"></a><span class="lineno"> 1991</span>&#160; resetMemHandle();</div>
1062<div class="line"><a name="l01992"></a><span class="lineno"> 1992</span>&#160; Fail(error);</div>
1063<div class="line"><a name="l01993"></a><span class="lineno"> 1993</span>&#160; }</div>
1064<div class="line"><a name="l01994"></a><span class="lineno"> 1994</span>&#160; <span class="keywordflow">catch</span> (<span class="keyword">const</span> std::runtime_error&amp; error)</div>
1065<div class="line"><a name="l01995"></a><span class="lineno"> 1995</span>&#160; {</div>
1066<div class="line"><a name="l01996"></a><span class="lineno"> 1996</span>&#160; resetMemHandle();</div>
1067<div class="line"><a name="l01997"></a><span class="lineno"> 1997</span>&#160; Fail(error);</div>
1068<div class="line"><a name="l01998"></a><span class="lineno"> 1998</span>&#160; }</div>
1069<div class="line"><a name="l01999"></a><span class="lineno"> 1999</span>&#160; <span class="keywordflow">catch</span> (...)</div>
1070<div class="line"><a name="l02000"></a><span class="lineno"> 2000</span>&#160; {</div>
1071<div class="line"><a name="l02001"></a><span class="lineno"> 2001</span>&#160; resetMemHandle();</div>
1072<div class="line"><a name="l02002"></a><span class="lineno"> 2002</span>&#160; <span class="keywordflow">throw</span>;</div>
1073<div class="line"><a name="l02003"></a><span class="lineno"> 2003</span>&#160; }</div>
1074<div class="line"><a name="l02004"></a><span class="lineno"> 2004</span>&#160; </div>
1075<div class="line"><a name="l02005"></a><span class="lineno"> 2005</span>&#160; <span class="keywordflow">if</span> (m_NetworkProperties.<a class="code" href="structarmnn_1_1_i_network_properties.html#a3266436db920d1ca96b0afaadacf3972">m_OutputSource</a> == <a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">MemorySource::Undefined</a>)</div>
1076<div class="line"><a name="l02006"></a><span class="lineno"> 2006</span>&#160; {</div>
1077<div class="line"><a name="l02007"></a><span class="lineno"> 2007</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> pair: outputTensors)</div>
1078<div class="line"><a name="l02008"></a><span class="lineno"> 2008</span>&#160; {</div>
1079<div class="line"><a name="l02009"></a><span class="lineno"> 2009</span>&#160; <a class="code" href="namespacearmnn.html#a5acae80f1d8fd03cdb3878bd356683d7">CopyToOutputTensor</a>(pair.second, workingMemHandle.GetOutputHandle(pair.first));</div>
1080<div class="line"><a name="l02010"></a><span class="lineno"> 2010</span>&#160; }</div>
1081<div class="line"><a name="l02011"></a><span class="lineno"> 2011</span>&#160; }</div>
1082<div class="line"><a name="l02012"></a><span class="lineno"> 2012</span>&#160; <span class="keywordflow">else</span></div>
1083<div class="line"><a name="l02013"></a><span class="lineno"> 2013</span>&#160; {</div>
1084<div class="line"><a name="l02014"></a><span class="lineno"> 2014</span>&#160; <a class="code" href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">&quot;SyncMemGeneric_Execute&quot;</span>);</div>
1085<div class="line"><a name="l02015"></a><span class="lineno"> 2015</span>&#160; workingMemHandle.MemSyncOutputs();</div>
1086<div class="line"><a name="l02016"></a><span class="lineno"> 2016</span>&#160; }</div>
1087<div class="line"><a name="l02017"></a><span class="lineno"> 2017</span>&#160; </div>
1088<div class="line"><a name="l02018"></a><span class="lineno"> 2018</span>&#160; resetMemHandle();</div>
1089<div class="line"><a name="l02019"></a><span class="lineno"> 2019</span>&#160; </div>
1090<div class="line"><a name="l02020"></a><span class="lineno"> 2020</span>&#160; <span class="keywordflow">return</span> executionSucceeded ? <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">Status::Success</a> : <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70bae139a585510a502bbf1841cf589f5086">Status::Failure</a>;</div>
1091<div class="line"><a name="l02021"></a><span class="lineno"> 2021</span>&#160;}</div>
1092</div><!-- fragment -->
1093<p class="reference">References <a class="el" href="_working_mem_handle_8cpp_source.html#l00100">WorkingMemHandle::Allocate()</a>, <a class="el" href="_logging_8hpp_source.html#l00212">ARMNN_LOG</a>, <a class="el" href="_profiling_8hpp_source.html#l00220">ARMNN_SCOPED_PROFILING_EVENT</a>, <a class="el" href="_loaded_network_8cpp_source.html#l01444">armnn::CopyToOutputTensor()</a>, <a class="el" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acb5e100e5a9a3e7f6d1fd97512215282">armnn::error</a>, <a class="el" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70bae139a585510a502bbf1841cf589f5086">armnn::Failure</a>, <a class="el" href="_working_mem_handle_8hpp_source.html#l00119">WorkingMemHandle::GetBindingIdVector()</a>, <a class="el" href="_working_mem_handle_8hpp_source.html#l00092">WorkingMemHandle::GetExecutionDataAt()</a>, <a class="el" href="_working_mem_handle_8hpp_source.html#l00107">WorkingMemHandle::GetInputConnections()</a>, <a class="el" href="_working_mem_handle_8hpp_source.html#l00097">WorkingMemHandle::GetInputHandle()</a>, <a class="el" href="_graph_8hpp_source.html#l00194">Graph::GetNumInputs()</a>, <a class="el" href="_graph_8hpp_source.html#l00195">Graph::GetNumOutputs()</a>, <a class="el" href="_working_mem_handle_8hpp_source.html#l00112">WorkingMemHandle::GetOutputConnection()</a>, <a class="el" href="_working_mem_handle_8hpp_source.html#l00102">WorkingMemHandle::GetOutputHandle()</a>, <a class="el" href="_working_mem_handle_8hpp_source.html#l00077">WorkingMemHandle::IsAllocated()</a>, <a class="el" href="_i_runtime_8hpp_source.html#l00066">INetworkProperties::m_OutputSource</a>, <a class="el" href="_working_mem_handle_8cpp_source.html#l00136">WorkingMemHandle::MemSyncOutputs()</a>, <a class="el" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Success</a>, <a class="el" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">armnn::Undefined</a>, and <a class="el" href="_working_mem_handle_8cpp_source.html#l00145">WorkingMemHandle::ValidateBindingIds()</a>.</p>
1094
1095<p class="reference">Referenced by <a class="el" href="_runtime_8cpp_source.html#l00699">RuntimeImpl::Execute()</a>.</p>
1096
1097</div>
1098</div>
1099<a id="aaf8558a23ae9be6e7ea165989f1fa808"></a>
1100<h2 class="memtitle"><span class="permalink"><a href="#aaf8558a23ae9be6e7ea165989f1fa808">&#9670;&nbsp;</a></span>FreeWorkingMemory()</h2>
1101
1102<div class="memitem">
1103<div class="memproto">
1104 <table class="memname">
1105 <tr>
1106 <td class="memname">void FreeWorkingMemory </td>
1107 <td>(</td>
1108 <td class="paramname"></td><td>)</td>
1109 <td></td>
1110 </tr>
1111 </table>
1112</div><div class="memdoc">
1113
1114<p class="definition">Definition at line <a class="el" href="_loaded_network_8cpp_source.html#l01286">1286</a> of file <a class="el" href="_loaded_network_8cpp_source.html">LoadedNetwork.cpp</a>.</p>
1115<div class="fragment"><div class="line"><a name="l01287"></a><span class="lineno"> 1287</span>&#160;{</div>
1116<div class="line"><a name="l01288"></a><span class="lineno"> 1288</span>&#160;<span class="preprocessor">#if !defined(ARMNN_DISABLE_THREADS)</span></div>
1117<div class="line"><a name="l01289"></a><span class="lineno"> 1289</span>&#160; std::lock_guard&lt;std::mutex&gt; lockGuard(m_WorkingMemMutex);</div>
1118<div class="line"><a name="l01290"></a><span class="lineno"> 1290</span>&#160;<span class="preprocessor">#endif</span></div>
1119<div class="line"><a name="l01291"></a><span class="lineno"> 1291</span>&#160; </div>
1120<div class="line"><a name="l01292"></a><span class="lineno"> 1292</span>&#160; <span class="keywordflow">if</span> (!m_IsWorkingMemAllocated)</div>
1121<div class="line"><a name="l01293"></a><span class="lineno"> 1293</span>&#160; {</div>
1122<div class="line"><a name="l01294"></a><span class="lineno"> 1294</span>&#160; <span class="keywordflow">return</span>;</div>
1123<div class="line"><a name="l01295"></a><span class="lineno"> 1295</span>&#160; }</div>
1124<div class="line"><a name="l01296"></a><span class="lineno"> 1296</span>&#160; </div>
1125<div class="line"><a name="l01297"></a><span class="lineno"> 1297</span>&#160; <span class="keywordflow">if</span> (m_ExternalMemoryManager)</div>
1126<div class="line"><a name="l01298"></a><span class="lineno"> 1298</span>&#160; {</div>
1127<div class="line"><a name="l01299"></a><span class="lineno"> 1299</span>&#160; m_ExternalMemoryManager-&gt;Deallocate();</div>
1128<div class="line"><a name="l01300"></a><span class="lineno"> 1300</span>&#160; }</div>
1129<div class="line"><a name="l01301"></a><span class="lineno"> 1301</span>&#160; </div>
1130<div class="line"><a name="l01302"></a><span class="lineno"> 1302</span>&#160; <span class="comment">// Informs the memory managers to release memory in its respective memory group</span></div>
1131<div class="line"><a name="l01303"></a><span class="lineno"> 1303</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp;&amp; memoryManager : m_BackendMemoryMangers)</div>
1132<div class="line"><a name="l01304"></a><span class="lineno"> 1304</span>&#160; {</div>
1133<div class="line"><a name="l01305"></a><span class="lineno"> 1305</span>&#160; <span class="keywordflow">if</span> (memoryManager)</div>
1134<div class="line"><a name="l01306"></a><span class="lineno"> 1306</span>&#160; {</div>
1135<div class="line"><a name="l01307"></a><span class="lineno"> 1307</span>&#160; memoryManager-&gt;Release();</div>
1136<div class="line"><a name="l01308"></a><span class="lineno"> 1308</span>&#160; }</div>
1137<div class="line"><a name="l01309"></a><span class="lineno"> 1309</span>&#160; }</div>
1138<div class="line"><a name="l01310"></a><span class="lineno"> 1310</span>&#160; m_TensorHandleFactoryRegistry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html#a69ca23561f4f8a887f19c6580cbd34c8">ReleaseMemory</a>();</div>
1139<div class="line"><a name="l01311"></a><span class="lineno"> 1311</span>&#160; m_IsWorkingMemAllocated = <span class="keyword">false</span>;</div>
1140<div class="line"><a name="l01312"></a><span class="lineno"> 1312</span>&#160;}</div>
1141</div><!-- fragment -->
1142<p class="reference">References <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00086">TensorHandleFactoryRegistry::ReleaseMemory()</a>.</p>
1143
1144<p class="reference">Referenced by <a class="el" href="_runtime_8cpp_source.html#l00738">RuntimeImpl::CreateWorkingMemHandle()</a>, <a class="el" href="_runtime_8cpp_source.html#l00647">RuntimeImpl::EnqueueWorkload()</a>, and <a class="el" href="_loaded_network_8hpp_source.html#l00047">LoadedNetwork::~LoadedNetwork()</a>.</p>
1145
1146</div>
1147</div>
1148<a id="af616683424cb40d83b5a923db7f06f11"></a>
1149<h2 class="memtitle"><span class="permalink"><a href="#af616683424cb40d83b5a923db7f06f11">&#9670;&nbsp;</a></span>GetInputTensorInfo()</h2>
1150
1151<div class="memitem">
1152<div class="memproto">
1153 <table class="memname">
1154 <tr>
1155 <td class="memname"><a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> GetInputTensorInfo </td>
1156 <td>(</td>
1157 <td class="paramtype"><a class="el" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a>&#160;</td>
1158 <td class="paramname"><em>layerId</em></td><td>)</td>
1159 <td> const</td>
1160 </tr>
1161 </table>
1162</div><div class="memdoc">
1163
1164<p class="definition">Definition at line <a class="el" href="_loaded_network_8cpp_source.html#l00715">715</a> of file <a class="el" href="_loaded_network_8cpp_source.html">LoadedNetwork.cpp</a>.</p>
1165<div class="fragment"><div class="line"><a name="l00716"></a><span class="lineno"> 716</span>&#160;{</div>
1166<div class="line"><a name="l00717"></a><span class="lineno"> 717</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp;&amp; inputLayer : m_OptimizedNetwork-&gt;pOptimizedNetworkImpl-&gt;GetGraph().GetInputLayers())</div>
1167<div class="line"><a name="l00718"></a><span class="lineno"> 718</span>&#160; {</div>
1168<div class="line"><a name="l00719"></a><span class="lineno"> 719</span>&#160; <span class="keywordflow">if</span> (inputLayer-&gt;GetNumOutputSlots() != 1)</div>
1169<div class="line"><a name="l00720"></a><span class="lineno"> 720</span>&#160; {</div>
1170<div class="line"><a name="l00721"></a><span class="lineno"> 721</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_graph_validation_exception.html">armnn::GraphValidationException</a>(<span class="stringliteral">&quot;Input layer should have exactly 1 output slot&quot;</span>);</div>
1171<div class="line"><a name="l00722"></a><span class="lineno"> 722</span>&#160; }</div>
1172<div class="line"><a name="l00723"></a><span class="lineno"> 723</span>&#160; </div>
1173<div class="line"><a name="l00724"></a><span class="lineno"> 724</span>&#160; <span class="keywordflow">if</span> (inputLayer-&gt;GetBindingId() == layerId)</div>
1174<div class="line"><a name="l00725"></a><span class="lineno"> 725</span>&#160; {</div>
1175<div class="line"><a name="l00726"></a><span class="lineno"> 726</span>&#160; <span class="keywordflow">return</span> inputLayer-&gt;GetOutputSlot(0).GetTensorInfo();</div>
1176<div class="line"><a name="l00727"></a><span class="lineno"> 727</span>&#160; }</div>
1177<div class="line"><a name="l00728"></a><span class="lineno"> 728</span>&#160; }</div>
1178<div class="line"><a name="l00729"></a><span class="lineno"> 729</span>&#160; </div>
1179<div class="line"><a name="l00730"></a><span class="lineno"> 730</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(fmt::format(<span class="stringliteral">&quot;No input layer is associated with id {}&quot;</span>, layerId));</div>
1180<div class="line"><a name="l00731"></a><span class="lineno"> 731</span>&#160;}</div>
1181</div><!-- fragment -->
1182<p class="reference">Referenced by <a class="el" href="_runtime_8cpp_source.html#l00616">RuntimeImpl::GetInputTensorInfo()</a>.</p>
1183
1184</div>
1185</div>
1186<a id="ad90f4f6c9360c5cb64c164b9ddcb3130"></a>
1187<h2 class="memtitle"><span class="permalink"><a href="#ad90f4f6c9360c5cb64c164b9ddcb3130">&#9670;&nbsp;</a></span>GetNetworkGuid()</h2>
1188
1189<div class="memitem">
1190<div class="memproto">
1191 <table class="memname">
1192 <tr>
1193 <td class="memname">ProfilingGuid GetNetworkGuid </td>
1194 <td>(</td>
1195 <td class="paramname"></td><td>)</td>
1196 <td></td>
1197 </tr>
1198 </table>
1199</div><div class="memdoc">
1200
1201<p class="definition">Definition at line <a class="el" href="_loaded_network_8cpp_source.html#l00710">710</a> of file <a class="el" href="_loaded_network_8cpp_source.html">LoadedNetwork.cpp</a>.</p>
1202<div class="fragment"><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>&#160;{</div>
1203<div class="line"><a name="l00712"></a><span class="lineno"> 712</span>&#160; <span class="keywordflow">return</span> m_OptimizedNetwork-&gt;GetGuid();</div>
1204<div class="line"><a name="l00713"></a><span class="lineno"> 713</span>&#160;}</div>
1205</div><!-- fragment -->
1206</div>
1207</div>
1208<a id="a2b6b57945bc68f659e08d28c8a015e91"></a>
1209<h2 class="memtitle"><span class="permalink"><a href="#a2b6b57945bc68f659e08d28c8a015e91">&#9670;&nbsp;</a></span>GetOutputTensorInfo()</h2>
1210
1211<div class="memitem">
1212<div class="memproto">
1213 <table class="memname">
1214 <tr>
1215 <td class="memname"><a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> GetOutputTensorInfo </td>
1216 <td>(</td>
1217 <td class="paramtype"><a class="el" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a>&#160;</td>
1218 <td class="paramname"><em>layerId</em></td><td>)</td>
1219 <td> const</td>
1220 </tr>
1221 </table>
1222</div><div class="memdoc">
1223
1224<p class="definition">Definition at line <a class="el" href="_loaded_network_8cpp_source.html#l00733">733</a> of file <a class="el" href="_loaded_network_8cpp_source.html">LoadedNetwork.cpp</a>.</p>
1225<div class="fragment"><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>&#160;{</div>
1226<div class="line"><a name="l00735"></a><span class="lineno"> 735</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp;&amp; outputLayer : m_OptimizedNetwork-&gt;pOptimizedNetworkImpl-&gt;GetGraph().GetOutputLayers())</div>
1227<div class="line"><a name="l00736"></a><span class="lineno"> 736</span>&#160; {</div>
1228<div class="line"><a name="l00737"></a><span class="lineno"> 737</span>&#160; <span class="keywordflow">if</span> (outputLayer-&gt;GetNumInputSlots() != 1)</div>
1229<div class="line"><a name="l00738"></a><span class="lineno"> 738</span>&#160; {</div>
1230<div class="line"><a name="l00739"></a><span class="lineno"> 739</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_graph_validation_exception.html">armnn::GraphValidationException</a>(<span class="stringliteral">&quot;Output layer should have exactly 1 input slot&quot;</span>);</div>
1231<div class="line"><a name="l00740"></a><span class="lineno"> 740</span>&#160; }</div>
1232<div class="line"><a name="l00741"></a><span class="lineno"> 741</span>&#160; </div>
1233<div class="line"><a name="l00742"></a><span class="lineno"> 742</span>&#160; <span class="keywordflow">if</span> (!outputLayer-&gt;GetInputSlot(0).GetConnection())</div>
1234<div class="line"><a name="l00743"></a><span class="lineno"> 743</span>&#160; {</div>
1235<div class="line"><a name="l00744"></a><span class="lineno"> 744</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_graph_validation_exception.html">armnn::GraphValidationException</a>(<span class="stringliteral">&quot;Input slot on Output layer must be connected&quot;</span>);</div>
1236<div class="line"><a name="l00745"></a><span class="lineno"> 745</span>&#160; }</div>
1237<div class="line"><a name="l00746"></a><span class="lineno"> 746</span>&#160; </div>
1238<div class="line"><a name="l00747"></a><span class="lineno"> 747</span>&#160; <span class="keywordflow">if</span> (outputLayer-&gt;GetBindingId() == layerId)</div>
1239<div class="line"><a name="l00748"></a><span class="lineno"> 748</span>&#160; {</div>
1240<div class="line"><a name="l00749"></a><span class="lineno"> 749</span>&#160; <span class="keywordflow">return</span> outputLayer-&gt;GetInputSlot(0).GetTensorInfo();</div>
1241<div class="line"><a name="l00750"></a><span class="lineno"> 750</span>&#160; }</div>
1242<div class="line"><a name="l00751"></a><span class="lineno"> 751</span>&#160; }</div>
1243<div class="line"><a name="l00752"></a><span class="lineno"> 752</span>&#160; </div>
1244<div class="line"><a name="l00753"></a><span class="lineno"> 753</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(fmt::format(<span class="stringliteral">&quot;No output layer is associated with id {}&quot;</span>, layerId));</div>
1245<div class="line"><a name="l00754"></a><span class="lineno"> 754</span>&#160;}</div>
1246</div><!-- fragment -->
1247<p class="reference">Referenced by <a class="el" href="_runtime_8cpp_source.html#l00621">RuntimeImpl::GetOutputTensorInfo()</a>.</p>
1248
1249</div>
1250</div>
1251<a id="aee8e1cb09e0d4dcbe64df111c5edd55e"></a>
1252<h2 class="memtitle"><span class="permalink"><a href="#aee8e1cb09e0d4dcbe64df111c5edd55e">&#9670;&nbsp;</a></span>GetProfiler()</h2>
1253
1254<div class="memitem">
1255<div class="memproto">
1256<table class="mlabels">
1257 <tr>
1258 <td class="mlabels-left">
1259 <table class="memname">
1260 <tr>
1261 <td class="memname">const std::shared_ptr&lt;<a class="el" href="classarmnn_1_1_i_profiler.html">IProfiler</a>&gt;&amp; GetProfiler </td>
1262 <td>(</td>
1263 <td class="paramname"></td><td>)</td>
1264 <td> const</td>
1265 </tr>
1266 </table>
1267 </td>
1268 <td class="mlabels-right">
1269<span class="mlabels"><span class="mlabel">inline</span></span> </td>
1270 </tr>
1271</table>
1272</div><div class="memdoc">
1273
1274<p class="definition">Definition at line <a class="el" href="_loaded_network_8hpp_source.html#l00087">87</a> of file <a class="el" href="_loaded_network_8hpp_source.html">LoadedNetwork.hpp</a>.</p>
1275<div class="fragment"><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160;{ <span class="keywordflow">return</span> m_OptimizedNetwork-&gt;GetProfiler(); }</div>
1276</div><!-- fragment -->
1277<p class="reference">Referenced by <a class="el" href="_runtime_8cpp_source.html#l00738">RuntimeImpl::CreateWorkingMemHandle()</a>, <a class="el" href="_runtime_8cpp_source.html#l00647">RuntimeImpl::EnqueueWorkload()</a>, and <a class="el" href="_runtime_8cpp_source.html#l00699">RuntimeImpl::Execute()</a>.</p>
1278
1279</div>
1280</div>
1281<a id="a704bd570f39deda992bccdc639640dc7"></a>
1282<h2 class="memtitle"><span class="permalink"><a href="#a704bd570f39deda992bccdc639640dc7">&#9670;&nbsp;</a></span>ImportInputs()</h2>
1283
1284<div class="memitem">
1285<div class="memproto">
1286 <table class="memname">
1287 <tr>
1288 <td class="memname">std::vector&lt; <a class="el" href="namespacearmnn.html#a1c5ec805688cb558465a82a8d9f56a90">ImportedInputId</a> &gt; ImportInputs </td>
1289 <td>(</td>
1290 <td class="paramtype">const <a class="el" href="namespacearmnn.html#aa01bce88f89975a5a031db4cc8861527">InputTensors</a> &amp;&#160;</td>
1291 <td class="paramname"><em>inputTensors</em>, </td>
1292 </tr>
1293 <tr>
1294 <td class="paramkey"></td>
1295 <td></td>
1296 <td class="paramtype"><a class="el" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277">MemorySource</a>&#160;</td>
1297 <td class="paramname"><em>forceImportMemorySource</em> = <code><a class="el" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">MemorySource::Undefined</a></code>&#160;</td>
1298 </tr>
1299 <tr>
1300 <td></td>
1301 <td>)</td>
1302 <td></td><td></td>
1303 </tr>
1304 </table>
1305</div><div class="memdoc">
1306
1307<p class="definition">Definition at line <a class="el" href="_loaded_network_8cpp_source.html#l01486">1486</a> of file <a class="el" href="_loaded_network_8cpp_source.html">LoadedNetwork.cpp</a>.</p>
1308<div class="fragment"><div class="line"><a name="l01488"></a><span class="lineno"> 1488</span>&#160;{</div>
1309<div class="line"><a name="l01489"></a><span class="lineno"> 1489</span>&#160; <span class="keywordflow">if</span> (!m_NetworkProperties.<a class="code" href="structarmnn_1_1_i_network_properties.html#ad3ab02a7f6310b35c59ca78b509905ca">m_AsyncEnabled</a>)</div>
1310<div class="line"><a name="l01490"></a><span class="lineno"> 1490</span>&#160; {</div>
1311<div class="line"><a name="l01491"></a><span class="lineno"> 1491</span>&#160; <span class="comment">// Cannot import if import is not enabled and forceImportMemorySource is undefined</span></div>
1312<div class="line"><a name="l01492"></a><span class="lineno"> 1492</span>&#160; <span class="keywordflow">if</span> (forceImportMemorySource == <a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">MemorySource::Undefined</a>)</div>
1313<div class="line"><a name="l01493"></a><span class="lineno"> 1493</span>&#160; {</div>
1314<div class="line"><a name="l01494"></a><span class="lineno"> 1494</span>&#160; <span class="keywordflow">throw</span> MemoryImportException(<span class="stringliteral">&quot;ImportInputs: Memory Import failed, NetworkProperties.m_ImportEnabled&quot;</span>);</div>
1315<div class="line"><a name="l01495"></a><span class="lineno"> 1495</span>&#160; }</div>
1316<div class="line"><a name="l01496"></a><span class="lineno"> 1496</span>&#160; <span class="comment">// The number of pre imported tensors should not exceed the number of inputs.</span></div>
1317<div class="line"><a name="l01497"></a><span class="lineno"> 1497</span>&#160; <span class="keywordflow">if</span> (inputTensors.size() &gt; m_OptimizedNetwork-&gt;pOptimizedNetworkImpl-&gt;GetGraph().GetNumInputs())</div>
1318<div class="line"><a name="l01498"></a><span class="lineno"> 1498</span>&#160; {</div>
1319<div class="line"><a name="l01499"></a><span class="lineno"> 1499</span>&#160; <span class="keywordflow">throw</span> MemoryImportException(<span class="stringliteral">&quot;ImportInputs: The number of tensors provided exceeds the number of inputs.&quot;</span>);</div>
1320<div class="line"><a name="l01500"></a><span class="lineno"> 1500</span>&#160; }</div>
1321<div class="line"><a name="l01501"></a><span class="lineno"> 1501</span>&#160; </div>
1322<div class="line"><a name="l01502"></a><span class="lineno"> 1502</span>&#160; std::vector&lt;ImportedInputId&gt; importedInputs;</div>
1323<div class="line"><a name="l01503"></a><span class="lineno"> 1503</span>&#160; Graph&amp; graph = m_OptimizedNetwork-&gt;pOptimizedNetworkImpl-&gt;GetGraph().TopologicalSort();</div>
1324<div class="line"><a name="l01504"></a><span class="lineno"> 1504</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputIndex = 0;</div>
1325<div class="line"><a name="l01505"></a><span class="lineno"> 1505</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">const</span> BindableLayer* inputLayer : graph.GetInputLayers())</div>
1326<div class="line"><a name="l01506"></a><span class="lineno"> 1506</span>&#160; {</div>
1327<div class="line"><a name="l01507"></a><span class="lineno"> 1507</span>&#160; <span class="keyword">auto</span> outputTensorHandle = m_PreImportedInputHandles[inputIndex].m_TensorHandle.get();</div>
1328<div class="line"><a name="l01508"></a><span class="lineno"> 1508</span>&#160; </div>
1329<div class="line"><a name="l01509"></a><span class="lineno"> 1509</span>&#160; <span class="keywordflow">if</span> (!outputTensorHandle)</div>
1330<div class="line"><a name="l01510"></a><span class="lineno"> 1510</span>&#160; {</div>
1331<div class="line"><a name="l01511"></a><span class="lineno"> 1511</span>&#160; inputIndex++;</div>
1332<div class="line"><a name="l01512"></a><span class="lineno"> 1512</span>&#160; <span class="keywordflow">continue</span>;</div>
1333<div class="line"><a name="l01513"></a><span class="lineno"> 1513</span>&#160; }</div>
1334<div class="line"><a name="l01514"></a><span class="lineno"> 1514</span>&#160; </div>
1335<div class="line"><a name="l01515"></a><span class="lineno"> 1515</span>&#160; <span class="keyword">auto</span> layerBindingId = inputLayer-&gt;GetBindingId();</div>
1336<div class="line"><a name="l01516"></a><span class="lineno"> 1516</span>&#160; <span class="keyword">auto</span> it = std::find_if(inputTensors.begin(), inputTensors.end(), [=](<span class="keyword">const</span> <span class="keyword">auto</span>&amp; inputTensor)</div>
1337<div class="line"><a name="l01517"></a><span class="lineno"> 1517</span>&#160; {</div>
1338<div class="line"><a name="l01518"></a><span class="lineno"> 1518</span>&#160; return inputTensor.first == layerBindingId;</div>
1339<div class="line"><a name="l01519"></a><span class="lineno"> 1519</span>&#160; });</div>
1340<div class="line"><a name="l01520"></a><span class="lineno"> 1520</span>&#160; </div>
1341<div class="line"><a name="l01521"></a><span class="lineno"> 1521</span>&#160; <span class="keywordflow">if</span> (it == inputTensors.end())</div>
1342<div class="line"><a name="l01522"></a><span class="lineno"> 1522</span>&#160; {</div>
1343<div class="line"><a name="l01523"></a><span class="lineno"> 1523</span>&#160; inputIndex++;</div>
1344<div class="line"><a name="l01524"></a><span class="lineno"> 1524</span>&#160; <span class="keywordflow">continue</span>;</div>
1345<div class="line"><a name="l01525"></a><span class="lineno"> 1525</span>&#160; }</div>
1346<div class="line"><a name="l01526"></a><span class="lineno"> 1526</span>&#160; </div>
1347<div class="line"><a name="l01527"></a><span class="lineno"> 1527</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span>&amp; inputTensor = *it;</div>
1348<div class="line"><a name="l01528"></a><span class="lineno"> 1528</span>&#160; std::unique_ptr&lt;ITensorHandle&gt; passThroughTensorHandle =</div>
1349<div class="line"><a name="l01529"></a><span class="lineno"> 1529</span>&#160; std::make_unique&lt;ConstPassthroughTensorHandle&gt;(inputTensor.second.GetInfo(),</div>
1350<div class="line"><a name="l01530"></a><span class="lineno"> 1530</span>&#160; inputTensor.second.GetMemoryArea());</div>
1351<div class="line"><a name="l01531"></a><span class="lineno"> 1531</span>&#160; </div>
1352<div class="line"><a name="l01532"></a><span class="lineno"> 1532</span>&#160; <span class="keywordflow">try</span></div>
1353<div class="line"><a name="l01533"></a><span class="lineno"> 1533</span>&#160; {</div>
1354<div class="line"><a name="l01534"></a><span class="lineno"> 1534</span>&#160; <span class="keywordflow">if</span> (outputTensorHandle-&gt;CanBeImported(passThroughTensorHandle-&gt;Map(), forceImportMemorySource)</div>
1355<div class="line"><a name="l01535"></a><span class="lineno"> 1535</span>&#160; &amp;&amp; (outputTensorHandle-&gt;Import(passThroughTensorHandle-&gt;Map(), forceImportMemorySource)))</div>
1356<div class="line"><a name="l01536"></a><span class="lineno"> 1536</span>&#160; {</div>
1357<div class="line"><a name="l01537"></a><span class="lineno"> 1537</span>&#160; importedInputs.push_back(inputIndex);</div>
1358<div class="line"><a name="l01538"></a><span class="lineno"> 1538</span>&#160; }</div>
1359<div class="line"><a name="l01539"></a><span class="lineno"> 1539</span>&#160; passThroughTensorHandle-&gt;Unmap();</div>
1360<div class="line"><a name="l01540"></a><span class="lineno"> 1540</span>&#160; }</div>
1361<div class="line"><a name="l01541"></a><span class="lineno"> 1541</span>&#160; <span class="keywordflow">catch</span>(<span class="keyword">const</span> MemoryImportException&amp; exception)</div>
1362<div class="line"><a name="l01542"></a><span class="lineno"> 1542</span>&#160; {</div>
1363<div class="line"><a name="l01543"></a><span class="lineno"> 1543</span>&#160; <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(error) &lt;&lt; <span class="stringliteral">&quot;An error occurred attempting to import input_&quot;</span></div>
1364<div class="line"><a name="l01544"></a><span class="lineno"> 1544</span>&#160; &lt;&lt; inputIndex &lt;&lt; <span class="stringliteral">&quot; : &quot;</span> &lt;&lt; exception.what();</div>
1365<div class="line"><a name="l01545"></a><span class="lineno"> 1545</span>&#160; passThroughTensorHandle-&gt;Unmap();</div>
1366<div class="line"><a name="l01546"></a><span class="lineno"> 1546</span>&#160; }</div>
1367<div class="line"><a name="l01547"></a><span class="lineno"> 1547</span>&#160; inputIndex++;</div>
1368<div class="line"><a name="l01548"></a><span class="lineno"> 1548</span>&#160; }</div>
1369<div class="line"><a name="l01549"></a><span class="lineno"> 1549</span>&#160; </div>
1370<div class="line"><a name="l01550"></a><span class="lineno"> 1550</span>&#160; <span class="keywordflow">return</span> importedInputs;</div>
1371<div class="line"><a name="l01551"></a><span class="lineno"> 1551</span>&#160; }</div>
1372<div class="line"><a name="l01552"></a><span class="lineno"> 1552</span>&#160; <span class="keywordflow">else</span></div>
1373<div class="line"><a name="l01553"></a><span class="lineno"> 1553</span>&#160; {</div>
1374<div class="line"><a name="l01554"></a><span class="lineno"> 1554</span>&#160; <span class="comment">// Import when the import of network properties is enabled</span></div>
1375<div class="line"><a name="l01555"></a><span class="lineno"> 1555</span>&#160; std::vector&lt;ImportedInputId&gt; importedInputs;</div>
1376<div class="line"><a name="l01556"></a><span class="lineno"> 1556</span>&#160; Graph&amp; graph = m_OptimizedNetwork-&gt;pOptimizedNetworkImpl-&gt;GetGraph().TopologicalSort();</div>
1377<div class="line"><a name="l01557"></a><span class="lineno"> 1557</span>&#160; </div>
1378<div class="line"><a name="l01558"></a><span class="lineno"> 1558</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> inputTensor : inputTensors)</div>
1379<div class="line"><a name="l01559"></a><span class="lineno"> 1559</span>&#160; {</div>
1380<div class="line"><a name="l01560"></a><span class="lineno"> 1560</span>&#160; <span class="keyword">auto</span> layerBindingId = inputTensor.first;</div>
1381<div class="line"><a name="l01561"></a><span class="lineno"> 1561</span>&#160; <span class="keyword">auto</span> it = std::find_if(graph.GetInputLayers().begin(), graph.GetInputLayers().end(), [=](<span class="keyword">auto</span>* layer)</div>
1382<div class="line"><a name="l01562"></a><span class="lineno"> 1562</span>&#160; {</div>
1383<div class="line"><a name="l01563"></a><span class="lineno"> 1563</span>&#160; return layer-&gt;GetBindingId() == layerBindingId;</div>
1384<div class="line"><a name="l01564"></a><span class="lineno"> 1564</span>&#160; });</div>
1385<div class="line"><a name="l01565"></a><span class="lineno"> 1565</span>&#160; </div>
1386<div class="line"><a name="l01566"></a><span class="lineno"> 1566</span>&#160; <span class="keywordflow">if</span> (it == graph.GetInputLayers().end())</div>
1387<div class="line"><a name="l01567"></a><span class="lineno"> 1567</span>&#160; {</div>
1388<div class="line"><a name="l01568"></a><span class="lineno"> 1568</span>&#160; <span class="keywordflow">throw</span> MemoryImportException(fmt::format(</div>
1389<div class="line"><a name="l01569"></a><span class="lineno"> 1569</span>&#160; <span class="stringliteral">&quot;ImportInputs: Memory Import failed, unknown LayerBindingId: {}&quot;</span>, layerBindingId));</div>
1390<div class="line"><a name="l01570"></a><span class="lineno"> 1570</span>&#160; }</div>
1391<div class="line"><a name="l01571"></a><span class="lineno"> 1571</span>&#160; </div>
1392<div class="line"><a name="l01572"></a><span class="lineno"> 1572</span>&#160; <span class="keyword">const</span> Layer* layer = *it;</div>
1393<div class="line"><a name="l01573"></a><span class="lineno"> 1573</span>&#160; <span class="keywordflow">if</span> (layer-&gt;GetType() != <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>)</div>
1394<div class="line"><a name="l01574"></a><span class="lineno"> 1574</span>&#160; {</div>
1395<div class="line"><a name="l01575"></a><span class="lineno"> 1575</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">&quot;ImportInputs: given layer not an InputLayer&quot;</span>);</div>
1396<div class="line"><a name="l01576"></a><span class="lineno"> 1576</span>&#160; }</div>
1397<div class="line"><a name="l01577"></a><span class="lineno"> 1577</span>&#160; </div>
1398<div class="line"><a name="l01578"></a><span class="lineno"> 1578</span>&#160; <span class="keyword">auto</span>&amp; backend = m_Backends.at(layer-&gt;GetBackendId());</div>
1399<div class="line"><a name="l01579"></a><span class="lineno"> 1579</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="namespacearmnn.html#a406399d2a16ead98e4e93cdd57adead4">HasMatchingCapability</a>(BackendOptions::BackendOption{<span class="stringliteral">&quot;PreImportIOTensors&quot;</span>, <span class="keyword">true</span>},</div>
1400<div class="line"><a name="l01580"></a><span class="lineno"> 1580</span>&#160; backend-&gt;GetCapabilities()))</div>
1401<div class="line"><a name="l01581"></a><span class="lineno"> 1581</span>&#160; {</div>
1402<div class="line"><a name="l01582"></a><span class="lineno"> 1582</span>&#160; std::string er = backend-&gt;GetId();</div>
1403<div class="line"><a name="l01583"></a><span class="lineno"> 1583</span>&#160; er += <span class="stringliteral">&quot; does not have PreImportIOTensors capability&quot;</span>;</div>
1404<div class="line"><a name="l01584"></a><span class="lineno"> 1584</span>&#160; <span class="keywordflow">throw</span> BackendCapabilityException(er);</div>
1405<div class="line"><a name="l01585"></a><span class="lineno"> 1585</span>&#160; }</div>
1406<div class="line"><a name="l01586"></a><span class="lineno"> 1586</span>&#160; </div>
1407<div class="line"><a name="l01587"></a><span class="lineno"> 1587</span>&#160; <span class="keyword">const</span> OutputSlot&amp; outputSlot = layer-&gt;GetOutputSlots()[0];</div>
1408<div class="line"><a name="l01588"></a><span class="lineno"> 1588</span>&#160; </div>
1409<div class="line"><a name="l01589"></a><span class="lineno"> 1589</span>&#160; <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> factoryId = outputSlot.GetTensorHandleFactoryId();</div>
1410<div class="line"><a name="l01590"></a><span class="lineno"> 1590</span>&#160; <span class="keyword">const</span> TensorInfo&amp; tensorInfo = outputSlot.GetTensorInfo();</div>
1411<div class="line"><a name="l01591"></a><span class="lineno"> 1591</span>&#160; </div>
1412<div class="line"><a name="l01592"></a><span class="lineno"> 1592</span>&#160; ITensorHandleFactory* handleFactory = m_TensorHandleFactoryRegistry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html#ae5ecc42140a12c855554a4a621fc8456">GetFactory</a>(factoryId);</div>
1413<div class="line"><a name="l01593"></a><span class="lineno"> 1593</span>&#160; <span class="keywordflow">if</span> (!handleFactory)</div>
1414<div class="line"><a name="l01594"></a><span class="lineno"> 1594</span>&#160; {</div>
1415<div class="line"><a name="l01595"></a><span class="lineno"> 1595</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_null_pointer_exception.html">armnn::NullPointerException</a>(<span class="stringliteral">&quot;handleFactory must not be null.&quot;</span>);</div>
1416<div class="line"><a name="l01596"></a><span class="lineno"> 1596</span>&#160; }</div>
1417<div class="line"><a name="l01597"></a><span class="lineno"> 1597</span>&#160; </div>
1418<div class="line"><a name="l01598"></a><span class="lineno"> 1598</span>&#160; ImportedTensorHandlePin importedTensorHandlePin{layerBindingId,</div>
1419<div class="line"><a name="l01599"></a><span class="lineno"> 1599</span>&#160; handleFactory-&gt;CreateTensorHandle(tensorInfo, <span class="keyword">false</span>)};</div>
1420<div class="line"><a name="l01600"></a><span class="lineno"> 1600</span>&#160; </div>
1421<div class="line"><a name="l01601"></a><span class="lineno"> 1601</span>&#160; ITensorHandle* tensorHandle = importedTensorHandlePin.m_TensorHandle.get();</div>
1422<div class="line"><a name="l01602"></a><span class="lineno"> 1602</span>&#160; </div>
1423<div class="line"><a name="l01603"></a><span class="lineno"> 1603</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="namespacearmnn.html#a84f86b4de5adf0b164e811c87051a0ee">CheckFlag</a>(tensorHandle-&gt;GetImportFlags(), forceImportMemorySource))</div>
1424<div class="line"><a name="l01604"></a><span class="lineno"> 1604</span>&#160; {</div>
1425<div class="line"><a name="l01605"></a><span class="lineno"> 1605</span>&#160; <span class="keywordflow">throw</span> MemoryImportException(</div>
1426<div class="line"><a name="l01606"></a><span class="lineno"> 1606</span>&#160; fmt::format(<span class="stringliteral">&quot;ImportInputs: Memory Import failed, backend: &quot;</span></div>
1427<div class="line"><a name="l01607"></a><span class="lineno"> 1607</span>&#160; <span class="stringliteral">&quot;{} does not support importing from source {}&quot;</span></div>
1428<div class="line"><a name="l01608"></a><span class="lineno"> 1608</span>&#160; , factoryId, m_NetworkProperties.<a class="code" href="structarmnn_1_1_i_network_properties.html#a53d95b257e52b0fd292ba6d40d3c5dc3">m_InputSource</a>));</div>
1429<div class="line"><a name="l01609"></a><span class="lineno"> 1609</span>&#160; }</div>
1430<div class="line"><a name="l01610"></a><span class="lineno"> 1610</span>&#160; </div>
1431<div class="line"><a name="l01611"></a><span class="lineno"> 1611</span>&#160; std::unique_ptr&lt;ITensorHandle&gt; passThroughTensorHandle =</div>
1432<div class="line"><a name="l01612"></a><span class="lineno"> 1612</span>&#160; std::make_unique&lt;ConstPassthroughTensorHandle&gt;(inputTensor.second.GetInfo(),</div>
1433<div class="line"><a name="l01613"></a><span class="lineno"> 1613</span>&#160; inputTensor.second.GetMemoryArea());</div>
1434<div class="line"><a name="l01614"></a><span class="lineno"> 1614</span>&#160; </div>
1435<div class="line"><a name="l01615"></a><span class="lineno"> 1615</span>&#160; <span class="keywordflow">if</span> (tensorHandle-&gt;Import(passThroughTensorHandle-&gt;Map(), forceImportMemorySource))</div>
1436<div class="line"><a name="l01616"></a><span class="lineno"> 1616</span>&#160; {</div>
1437<div class="line"><a name="l01617"></a><span class="lineno"> 1617</span>&#160; importedInputs.push_back(m_CurImportedInputId++);</div>
1438<div class="line"><a name="l01618"></a><span class="lineno"> 1618</span>&#160; passThroughTensorHandle-&gt;Unmap();</div>
1439<div class="line"><a name="l01619"></a><span class="lineno"> 1619</span>&#160; }</div>
1440<div class="line"><a name="l01620"></a><span class="lineno"> 1620</span>&#160; <span class="keywordflow">else</span></div>
1441<div class="line"><a name="l01621"></a><span class="lineno"> 1621</span>&#160; {</div>
1442<div class="line"><a name="l01622"></a><span class="lineno"> 1622</span>&#160; passThroughTensorHandle-&gt;Unmap();</div>
1443<div class="line"><a name="l01623"></a><span class="lineno"> 1623</span>&#160; <span class="keywordflow">throw</span> MemoryImportException(<span class="stringliteral">&quot;ImportInputs: Memory Import failed&quot;</span>);</div>
1444<div class="line"><a name="l01624"></a><span class="lineno"> 1624</span>&#160; }</div>
1445<div class="line"><a name="l01625"></a><span class="lineno"> 1625</span>&#160; </div>
1446<div class="line"><a name="l01626"></a><span class="lineno"> 1626</span>&#160; m_PreImportedInputHandles.push_back(std::move(importedTensorHandlePin));</div>
1447<div class="line"><a name="l01627"></a><span class="lineno"> 1627</span>&#160; }</div>
1448<div class="line"><a name="l01628"></a><span class="lineno"> 1628</span>&#160; <span class="keywordflow">return</span> importedInputs;</div>
1449<div class="line"><a name="l01629"></a><span class="lineno"> 1629</span>&#160; }</div>
1450<div class="line"><a name="l01630"></a><span class="lineno"> 1630</span>&#160;}</div>
1451</div><!-- fragment -->
1452<p class="reference">References <a class="el" href="_logging_8hpp_source.html#l00212">ARMNN_LOG</a>, <a class="el" href="_graph_8hpp_source.html#l00065">Graph::InputLayersAccessor::begin()</a>, <a class="el" href="_memory_sources_8hpp_source.html#l00041">armnn::CheckFlag()</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.html#a375f11dd42ff042435e8771cf287b20c">ITensorHandleFactory::CreateTensorHandle()</a>, <a class="el" href="_graph_8hpp_source.html#l00070">Graph::InputLayersAccessor::end()</a>, <a class="el" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acb5e100e5a9a3e7f6d1fd97512215282">armnn::error</a>, <a class="el" href="_layer_8hpp_source.html#l00290">Layer::GetBackendId()</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00039">TensorHandleFactoryRegistry::GetFactory()</a>, <a class="el" href="_i_tensor_handle_8hpp_source.html#l00070">ITensorHandle::GetImportFlags()</a>, <a class="el" href="_graph_8hpp_source.html#l00199">Graph::GetInputLayers()</a>, <a class="el" href="_layer_8hpp_source.html#l00259">Layer::GetOutputSlots()</a>, <a class="el" href="_layer_8cpp_source.html#l00218">OutputSlot::GetTensorHandleFactoryId()</a>, <a class="el" href="_layer_8cpp_source.html#l00100">OutputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8hpp_source.html#l00286">Layer::GetType()</a>, <a class="el" href="_backend_helper_8cpp_source.html#l00085">armnn::HasMatchingCapability()</a>, <a class="el" href="_i_tensor_handle_8hpp_source.html#l00076">ITensorHandle::Import()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::Input</a>, <a class="el" href="_i_runtime_8hpp_source.html#l00059">INetworkProperties::m_AsyncEnabled</a>, <a class="el" href="_i_runtime_8hpp_source.html#l00065">INetworkProperties::m_InputSource</a>, <a class="el" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">armnn::Undefined</a>, and <a class="el" href="_exceptions_8cpp_source.html#l00032">Exception::what()</a>.</p>
1453
1454<p class="reference">Referenced by <a class="el" href="_runtime_8cpp_source.html#l00626">RuntimeImpl::ImportInputs()</a>.</p>
1455
1456</div>
1457</div>
1458<a id="ac88d932e6e015a59551322b25796b11a"></a>
1459<h2 class="memtitle"><span class="permalink"><a href="#ac88d932e6e015a59551322b25796b11a">&#9670;&nbsp;</a></span>ImportOutputs()</h2>
1460
1461<div class="memitem">
1462<div class="memproto">
1463 <table class="memname">
1464 <tr>
1465 <td class="memname">std::vector&lt; <a class="el" href="namespacearmnn.html#ac68a434f0e78e33726bfb22a39ec813f">ImportedOutputId</a> &gt; ImportOutputs </td>
1466 <td>(</td>
1467 <td class="paramtype">const <a class="el" href="namespacearmnn.html#a8f091a512915d1cb29a4ebf13dfc53ea">OutputTensors</a> &amp;&#160;</td>
1468 <td class="paramname"><em>outputTensors</em>, </td>
1469 </tr>
1470 <tr>
1471 <td class="paramkey"></td>
1472 <td></td>
1473 <td class="paramtype"><a class="el" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277">MemorySource</a>&#160;</td>
1474 <td class="paramname"><em>forceImportMemorySource</em> = <code><a class="el" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">MemorySource::Undefined</a></code>&#160;</td>
1475 </tr>
1476 <tr>
1477 <td></td>
1478 <td>)</td>
1479 <td></td><td></td>
1480 </tr>
1481 </table>
1482</div><div class="memdoc">
1483
1484<p class="definition">Definition at line <a class="el" href="_loaded_network_8cpp_source.html#l01632">1632</a> of file <a class="el" href="_loaded_network_8cpp_source.html">LoadedNetwork.cpp</a>.</p>
1485<div class="fragment"><div class="line"><a name="l01634"></a><span class="lineno"> 1634</span>&#160;{</div>
1486<div class="line"><a name="l01635"></a><span class="lineno"> 1635</span>&#160; <span class="keywordflow">if</span> (!m_NetworkProperties.<a class="code" href="structarmnn_1_1_i_network_properties.html#ad3ab02a7f6310b35c59ca78b509905ca">m_AsyncEnabled</a>)</div>
1487<div class="line"><a name="l01636"></a><span class="lineno"> 1636</span>&#160; {</div>
1488<div class="line"><a name="l01637"></a><span class="lineno"> 1637</span>&#160; <span class="comment">// Cannot import if import is not enabled and forceImportMemorySource is undefined</span></div>
1489<div class="line"><a name="l01638"></a><span class="lineno"> 1638</span>&#160; <span class="keywordflow">if</span> (forceImportMemorySource == <a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">MemorySource::Undefined</a>)</div>
1490<div class="line"><a name="l01639"></a><span class="lineno"> 1639</span>&#160; {</div>
1491<div class="line"><a name="l01640"></a><span class="lineno"> 1640</span>&#160; <span class="keywordflow">throw</span> MemoryImportException(<span class="stringliteral">&quot;ImportOutputs: Memory Import failed, NetworkProperties.m_ImportEnabled&quot;</span>);</div>
1492<div class="line"><a name="l01641"></a><span class="lineno"> 1641</span>&#160; }</div>
1493<div class="line"><a name="l01642"></a><span class="lineno"> 1642</span>&#160; <span class="comment">// If forceImportMemorySource is defined, try import if memory is aligned</span></div>
1494<div class="line"><a name="l01643"></a><span class="lineno"> 1643</span>&#160; <span class="keywordflow">if</span> (outputTensors.size() != m_OptimizedNetwork-&gt;pOptimizedNetworkImpl-&gt;GetGraph().GetNumOutputs())</div>
1495<div class="line"><a name="l01644"></a><span class="lineno"> 1644</span>&#160; {</div>
1496<div class="line"><a name="l01645"></a><span class="lineno"> 1645</span>&#160; <span class="keywordflow">throw</span> MemoryImportException(<span class="stringliteral">&quot;ImportOutputs: Force Import failed, incorrect number of tensors&quot;</span>);</div>
1497<div class="line"><a name="l01646"></a><span class="lineno"> 1646</span>&#160; }</div>
1498<div class="line"><a name="l01647"></a><span class="lineno"> 1647</span>&#160; std::vector&lt;ImportedOutputId&gt; importedOutputs;</div>
1499<div class="line"><a name="l01648"></a><span class="lineno"> 1648</span>&#160; Graph&amp; graph = m_OptimizedNetwork-&gt;pOptimizedNetworkImpl-&gt;GetGraph().TopologicalSort();</div>
1500<div class="line"><a name="l01649"></a><span class="lineno"> 1649</span>&#160; </div>
1501<div class="line"><a name="l01650"></a><span class="lineno"> 1650</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputIndex = 0;</div>
1502<div class="line"><a name="l01651"></a><span class="lineno"> 1651</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">const</span> BindableLayer* <span class="keyword">const</span> outputLayer : graph.GetOutputLayers())</div>
1503<div class="line"><a name="l01652"></a><span class="lineno"> 1652</span>&#160; {</div>
1504<div class="line"><a name="l01653"></a><span class="lineno"> 1653</span>&#160; <span class="keyword">auto</span> inputTensorHandle = m_PreImportedOutputHandles[outputIndex].m_TensorHandle.get();</div>
1505<div class="line"><a name="l01654"></a><span class="lineno"> 1654</span>&#160; <span class="keywordflow">if</span> (!inputTensorHandle)</div>
1506<div class="line"><a name="l01655"></a><span class="lineno"> 1655</span>&#160; {</div>
1507<div class="line"><a name="l01656"></a><span class="lineno"> 1656</span>&#160; outputIndex++;</div>
1508<div class="line"><a name="l01657"></a><span class="lineno"> 1657</span>&#160; <span class="keywordflow">continue</span>;</div>
1509<div class="line"><a name="l01658"></a><span class="lineno"> 1658</span>&#160; }</div>
1510<div class="line"><a name="l01659"></a><span class="lineno"> 1659</span>&#160; </div>
1511<div class="line"><a name="l01660"></a><span class="lineno"> 1660</span>&#160; <span class="keyword">auto</span> layerBindingId = outputLayer-&gt;GetBindingId();</div>
1512<div class="line"><a name="l01661"></a><span class="lineno"> 1661</span>&#160; <span class="keyword">auto</span> it = std::find_if(outputTensors.begin(), outputTensors.end(), [=] (<span class="keyword">const</span> <span class="keyword">auto</span>&amp; outputTensor)</div>
1513<div class="line"><a name="l01662"></a><span class="lineno"> 1662</span>&#160; {</div>
1514<div class="line"><a name="l01663"></a><span class="lineno"> 1663</span>&#160; return outputTensor.first == layerBindingId;</div>
1515<div class="line"><a name="l01664"></a><span class="lineno"> 1664</span>&#160; });</div>
1516<div class="line"><a name="l01665"></a><span class="lineno"> 1665</span>&#160; </div>
1517<div class="line"><a name="l01666"></a><span class="lineno"> 1666</span>&#160; <span class="keywordflow">if</span> (it == outputTensors.end())</div>
1518<div class="line"><a name="l01667"></a><span class="lineno"> 1667</span>&#160; {</div>
1519<div class="line"><a name="l01668"></a><span class="lineno"> 1668</span>&#160; outputIndex++;</div>
1520<div class="line"><a name="l01669"></a><span class="lineno"> 1669</span>&#160; <span class="keywordflow">continue</span>;</div>
1521<div class="line"><a name="l01670"></a><span class="lineno"> 1670</span>&#160; }</div>
1522<div class="line"><a name="l01671"></a><span class="lineno"> 1671</span>&#160; </div>
1523<div class="line"><a name="l01672"></a><span class="lineno"> 1672</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> outputTensor = *it;</div>
1524<div class="line"><a name="l01673"></a><span class="lineno"> 1673</span>&#160; <span class="keywordflow">try</span></div>
1525<div class="line"><a name="l01674"></a><span class="lineno"> 1674</span>&#160; {</div>
1526<div class="line"><a name="l01675"></a><span class="lineno"> 1675</span>&#160; <span class="comment">// Check if the output memory can be imported</span></div>
1527<div class="line"><a name="l01676"></a><span class="lineno"> 1676</span>&#160; <span class="keywordflow">if</span> (inputTensorHandle-&gt;CanBeImported(outputTensor.second.GetMemoryArea(), forceImportMemorySource)</div>
1528<div class="line"><a name="l01677"></a><span class="lineno"> 1677</span>&#160; &amp;&amp; inputTensorHandle-&gt;Import(outputTensor.second.GetMemoryArea(), forceImportMemorySource))</div>
1529<div class="line"><a name="l01678"></a><span class="lineno"> 1678</span>&#160; {</div>
1530<div class="line"><a name="l01679"></a><span class="lineno"> 1679</span>&#160; importedOutputs.push_back(outputIndex);</div>
1531<div class="line"><a name="l01680"></a><span class="lineno"> 1680</span>&#160; }</div>
1532<div class="line"><a name="l01681"></a><span class="lineno"> 1681</span>&#160; }</div>
1533<div class="line"><a name="l01682"></a><span class="lineno"> 1682</span>&#160; <span class="keywordflow">catch</span>(<span class="keyword">const</span> MemoryImportException&amp; exception)</div>
1534<div class="line"><a name="l01683"></a><span class="lineno"> 1683</span>&#160; {</div>
1535<div class="line"><a name="l01684"></a><span class="lineno"> 1684</span>&#160; <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(error) &lt;&lt; <span class="stringliteral">&quot;An error occurred attempting to import output_&quot;</span></div>
1536<div class="line"><a name="l01685"></a><span class="lineno"> 1685</span>&#160; &lt;&lt; outputIndex &lt;&lt; <span class="stringliteral">&quot; : &quot;</span> &lt;&lt; exception.what();</div>
1537<div class="line"><a name="l01686"></a><span class="lineno"> 1686</span>&#160; }</div>
1538<div class="line"><a name="l01687"></a><span class="lineno"> 1687</span>&#160; outputIndex++;</div>
1539<div class="line"><a name="l01688"></a><span class="lineno"> 1688</span>&#160; }</div>
1540<div class="line"><a name="l01689"></a><span class="lineno"> 1689</span>&#160; <span class="keywordflow">return</span> importedOutputs;</div>
1541<div class="line"><a name="l01690"></a><span class="lineno"> 1690</span>&#160; }</div>
1542<div class="line"><a name="l01691"></a><span class="lineno"> 1691</span>&#160; </div>
1543<div class="line"><a name="l01692"></a><span class="lineno"> 1692</span>&#160; std::vector&lt;ImportedOutputId&gt; importedOutputs;</div>
1544<div class="line"><a name="l01693"></a><span class="lineno"> 1693</span>&#160; Graph&amp; graph = m_OptimizedNetwork-&gt;pOptimizedNetworkImpl-&gt;GetGraph().TopologicalSort();</div>
1545<div class="line"><a name="l01694"></a><span class="lineno"> 1694</span>&#160; </div>
1546<div class="line"><a name="l01695"></a><span class="lineno"> 1695</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>&amp; outputTensor : outputTensors)</div>
1547<div class="line"><a name="l01696"></a><span class="lineno"> 1696</span>&#160; {</div>
1548<div class="line"><a name="l01697"></a><span class="lineno"> 1697</span>&#160; <span class="keyword">auto</span> layerBindingId = outputTensor.first;</div>
1549<div class="line"><a name="l01698"></a><span class="lineno"> 1698</span>&#160; <span class="keyword">auto</span> it = std::find_if(graph.GetOutputLayers().begin(), graph.GetOutputLayers().end(), [=](<span class="keyword">auto</span>* layer)</div>
1550<div class="line"><a name="l01699"></a><span class="lineno"> 1699</span>&#160; {</div>
1551<div class="line"><a name="l01700"></a><span class="lineno"> 1700</span>&#160; return layer-&gt;GetBindingId() == layerBindingId;</div>
1552<div class="line"><a name="l01701"></a><span class="lineno"> 1701</span>&#160; });</div>
1553<div class="line"><a name="l01702"></a><span class="lineno"> 1702</span>&#160; </div>
1554<div class="line"><a name="l01703"></a><span class="lineno"> 1703</span>&#160; <span class="keywordflow">if</span> (it == graph.GetOutputLayers().end())</div>
1555<div class="line"><a name="l01704"></a><span class="lineno"> 1704</span>&#160; {</div>
1556<div class="line"><a name="l01705"></a><span class="lineno"> 1705</span>&#160; <span class="keywordflow">throw</span> MemoryImportException(fmt::format(<span class="stringliteral">&quot;ImportOutputs: Memory Import failed, unknown LayerBindingId: {}&quot;</span>,</div>
1557<div class="line"><a name="l01706"></a><span class="lineno"> 1706</span>&#160; layerBindingId));</div>
1558<div class="line"><a name="l01707"></a><span class="lineno"> 1707</span>&#160; }</div>
1559<div class="line"><a name="l01708"></a><span class="lineno"> 1708</span>&#160; </div>
1560<div class="line"><a name="l01709"></a><span class="lineno"> 1709</span>&#160; <span class="keyword">const</span> Layer* layer = *it;</div>
1561<div class="line"><a name="l01710"></a><span class="lineno"> 1710</span>&#160; <span class="keywordflow">if</span> (layer-&gt;GetType() != <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a>)</div>
1562<div class="line"><a name="l01711"></a><span class="lineno"> 1711</span>&#160; {</div>
1563<div class="line"><a name="l01712"></a><span class="lineno"> 1712</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">&quot;ImportOutputs: given layer not an OutputLayer&quot;</span>);</div>
1564<div class="line"><a name="l01713"></a><span class="lineno"> 1713</span>&#160; }</div>
1565<div class="line"><a name="l01714"></a><span class="lineno"> 1714</span>&#160; </div>
1566<div class="line"><a name="l01715"></a><span class="lineno"> 1715</span>&#160; <span class="keyword">auto</span>&amp; backend = m_Backends.at(layer-&gt;GetBackendId());</div>
1567<div class="line"><a name="l01716"></a><span class="lineno"> 1716</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="namespacearmnn.html#a406399d2a16ead98e4e93cdd57adead4">HasMatchingCapability</a>(BackendOptions::BackendOption{<span class="stringliteral">&quot;PreImportIOTensors&quot;</span>, <span class="keyword">true</span>},</div>
1568<div class="line"><a name="l01717"></a><span class="lineno"> 1717</span>&#160; backend-&gt;GetCapabilities()))</div>
1569<div class="line"><a name="l01718"></a><span class="lineno"> 1718</span>&#160; {</div>
1570<div class="line"><a name="l01719"></a><span class="lineno"> 1719</span>&#160; std::string er = backend-&gt;GetId();</div>
1571<div class="line"><a name="l01720"></a><span class="lineno"> 1720</span>&#160; er += <span class="stringliteral">&quot; does not have PreImportIOTensors capability&quot;</span>;</div>
1572<div class="line"><a name="l01721"></a><span class="lineno"> 1721</span>&#160; <span class="keywordflow">throw</span> BackendCapabilityException(er);</div>
1573<div class="line"><a name="l01722"></a><span class="lineno"> 1722</span>&#160; }</div>
1574<div class="line"><a name="l01723"></a><span class="lineno"> 1723</span>&#160; </div>
1575<div class="line"><a name="l01724"></a><span class="lineno"> 1724</span>&#160; <span class="keyword">const</span> InputSlot&amp; inputSlot = layer-&gt;GetInputSlots()[0];</div>
1576<div class="line"><a name="l01725"></a><span class="lineno"> 1725</span>&#160; <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> factoryId = inputSlot.GetConnectedOutputSlot()-&gt;GetTensorHandleFactoryId();</div>
1577<div class="line"><a name="l01726"></a><span class="lineno"> 1726</span>&#160; <span class="keyword">const</span> TensorInfo&amp; tensorInfo = inputSlot.GetTensorInfo();</div>
1578<div class="line"><a name="l01727"></a><span class="lineno"> 1727</span>&#160; </div>
1579<div class="line"><a name="l01728"></a><span class="lineno"> 1728</span>&#160; ITensorHandleFactory* handleFactory = m_TensorHandleFactoryRegistry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html#ae5ecc42140a12c855554a4a621fc8456">GetFactory</a>(factoryId);</div>
1580<div class="line"><a name="l01729"></a><span class="lineno"> 1729</span>&#160; <span class="keywordflow">if</span> (!handleFactory)</div>
1581<div class="line"><a name="l01730"></a><span class="lineno"> 1730</span>&#160; {</div>
1582<div class="line"><a name="l01731"></a><span class="lineno"> 1731</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_null_pointer_exception.html">armnn::NullPointerException</a>(<span class="stringliteral">&quot;handleFactory must not be null.&quot;</span>);</div>
1583<div class="line"><a name="l01732"></a><span class="lineno"> 1732</span>&#160; }</div>
1584<div class="line"><a name="l01733"></a><span class="lineno"> 1733</span>&#160; </div>
1585<div class="line"><a name="l01734"></a><span class="lineno"> 1734</span>&#160; ImportedTensorHandlePin importedTensorHandlePin{layerBindingId,</div>
1586<div class="line"><a name="l01735"></a><span class="lineno"> 1735</span>&#160; handleFactory-&gt;CreateTensorHandle(tensorInfo, <span class="keyword">false</span>)};</div>
1587<div class="line"><a name="l01736"></a><span class="lineno"> 1736</span>&#160; </div>
1588<div class="line"><a name="l01737"></a><span class="lineno"> 1737</span>&#160; ITensorHandle* tensorHandle = importedTensorHandlePin.m_TensorHandle.get();</div>
1589<div class="line"><a name="l01738"></a><span class="lineno"> 1738</span>&#160; </div>
1590<div class="line"><a name="l01739"></a><span class="lineno"> 1739</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="namespacearmnn.html#a84f86b4de5adf0b164e811c87051a0ee">CheckFlag</a>(tensorHandle-&gt;GetImportFlags(), forceImportMemorySource))</div>
1591<div class="line"><a name="l01740"></a><span class="lineno"> 1740</span>&#160; {</div>
1592<div class="line"><a name="l01741"></a><span class="lineno"> 1741</span>&#160; <span class="keywordflow">throw</span> MemoryImportException(fmt::format(<span class="stringliteral">&quot;ImportInputs: Memory Import failed, backend: &quot;</span></div>
1593<div class="line"><a name="l01742"></a><span class="lineno"> 1742</span>&#160; <span class="stringliteral">&quot;{} does not support importing from source {}&quot;</span></div>
1594<div class="line"><a name="l01743"></a><span class="lineno"> 1743</span>&#160; , factoryId, forceImportMemorySource));</div>
1595<div class="line"><a name="l01744"></a><span class="lineno"> 1744</span>&#160; }</div>
1596<div class="line"><a name="l01745"></a><span class="lineno"> 1745</span>&#160; </div>
1597<div class="line"><a name="l01746"></a><span class="lineno"> 1746</span>&#160; <span class="keywordflow">if</span> (tensorHandle-&gt;Import(outputTensor.second.GetMemoryArea(), forceImportMemorySource))</div>
1598<div class="line"><a name="l01747"></a><span class="lineno"> 1747</span>&#160; {</div>
1599<div class="line"><a name="l01748"></a><span class="lineno"> 1748</span>&#160; importedOutputs.push_back(m_CurImportedOutputId++);</div>
1600<div class="line"><a name="l01749"></a><span class="lineno"> 1749</span>&#160; }</div>
1601<div class="line"><a name="l01750"></a><span class="lineno"> 1750</span>&#160; <span class="keywordflow">else</span></div>
1602<div class="line"><a name="l01751"></a><span class="lineno"> 1751</span>&#160; {</div>
1603<div class="line"><a name="l01752"></a><span class="lineno"> 1752</span>&#160; <span class="keywordflow">throw</span> MemoryImportException(<span class="stringliteral">&quot;ImportInputs: Memory Import failed&quot;</span>);</div>
1604<div class="line"><a name="l01753"></a><span class="lineno"> 1753</span>&#160; }</div>
1605<div class="line"><a name="l01754"></a><span class="lineno"> 1754</span>&#160; </div>
1606<div class="line"><a name="l01755"></a><span class="lineno"> 1755</span>&#160; m_PreImportedOutputHandles.push_back(std::move(importedTensorHandlePin));</div>
1607<div class="line"><a name="l01756"></a><span class="lineno"> 1756</span>&#160; }</div>
1608<div class="line"><a name="l01757"></a><span class="lineno"> 1757</span>&#160; </div>
1609<div class="line"><a name="l01758"></a><span class="lineno"> 1758</span>&#160; <span class="keywordflow">return</span> importedOutputs;</div>
1610<div class="line"><a name="l01759"></a><span class="lineno"> 1759</span>&#160;}</div>
1611</div><!-- fragment -->
1612<p class="reference">References <a class="el" href="_logging_8hpp_source.html#l00212">ARMNN_LOG</a>, <a class="el" href="_graph_8hpp_source.html#l00084">Graph::OutputLayersAccessor::begin()</a>, <a class="el" href="_memory_sources_8hpp_source.html#l00041">armnn::CheckFlag()</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.html#a375f11dd42ff042435e8771cf287b20c">ITensorHandleFactory::CreateTensorHandle()</a>, <a class="el" href="_graph_8hpp_source.html#l00090">Graph::OutputLayersAccessor::end()</a>, <a class="el" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acb5e100e5a9a3e7f6d1fd97512215282">armnn::error</a>, <a class="el" href="_layer_8hpp_source.html#l00290">Layer::GetBackendId()</a>, <a class="el" href="_layer_8hpp_source.html#l00056">InputSlot::GetConnectedOutputSlot()</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00039">TensorHandleFactoryRegistry::GetFactory()</a>, <a class="el" href="_i_tensor_handle_8hpp_source.html#l00070">ITensorHandle::GetImportFlags()</a>, <a class="el" href="_layer_8hpp_source.html#l00258">Layer::GetInputSlots()</a>, <a class="el" href="_graph_8hpp_source.html#l00203">Graph::GetOutputLayers()</a>, <a class="el" href="_layer_8cpp_source.html#l00218">OutputSlot::GetTensorHandleFactoryId()</a>, <a class="el" href="_layer_8cpp_source.html#l00614">InputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8hpp_source.html#l00286">Layer::GetType()</a>, <a class="el" href="_backend_helper_8cpp_source.html#l00085">armnn::HasMatchingCapability()</a>, <a class="el" href="_i_tensor_handle_8hpp_source.html#l00076">ITensorHandle::Import()</a>, <a class="el" href="_i_runtime_8hpp_source.html#l00059">INetworkProperties::m_AsyncEnabled</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::Output</a>, <a class="el" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">armnn::Undefined</a>, and <a class="el" href="_exceptions_8cpp_source.html#l00032">Exception::what()</a>.</p>
1613
1614<p class="reference">Referenced by <a class="el" href="_runtime_8cpp_source.html#l00632">RuntimeImpl::ImportOutputs()</a>.</p>
1615
1616</div>
1617</div>
1618<a id="a390c87e27deac4f51af9533053b2ee14"></a>
1619<h2 class="memtitle"><span class="permalink"><a href="#a390c87e27deac4f51af9533053b2ee14">&#9670;&nbsp;</a></span>IsAsyncEnabled()</h2>
1620
1621<div class="memitem">
1622<div class="memproto">
1623<table class="mlabels">
1624 <tr>
1625 <td class="mlabels-left">
1626 <table class="memname">
1627 <tr>
1628 <td class="memname">bool IsAsyncEnabled </td>
1629 <td>(</td>
1630 <td class="paramname"></td><td>)</td>
1631 <td></td>
1632 </tr>
1633 </table>
1634 </td>
1635 <td class="mlabels-right">
1636<span class="mlabels"><span class="mlabel">inline</span></span> </td>
1637 </tr>
1638</table>
1639</div><div class="memdoc">
1640
1641<p class="definition">Definition at line <a class="el" href="_loaded_network_8hpp_source.html#l00095">95</a> of file <a class="el" href="_loaded_network_8hpp_source.html">LoadedNetwork.hpp</a>.</p>
1642<div class="fragment"><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; {</div>
1643<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <span class="keywordflow">return</span> m_NetworkProperties.<a class="code" href="structarmnn_1_1_i_network_properties.html#ad3ab02a7f6310b35c59ca78b509905ca">m_AsyncEnabled</a>;</div>
1644<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; }</div>
1645</div><!-- fragment -->
1646<p class="reference">References <a class="el" href="_i_runtime_8hpp_source.html#l00059">INetworkProperties::m_AsyncEnabled</a>.</p>
1647
1648<p class="reference">Referenced by <a class="el" href="_runtime_8cpp_source.html#l00738">RuntimeImpl::CreateWorkingMemHandle()</a>, <a class="el" href="_runtime_8cpp_source.html#l00647">RuntimeImpl::EnqueueWorkload()</a>, and <a class="el" href="_runtime_8cpp_source.html#l00699">RuntimeImpl::Execute()</a>.</p>
1649
1650</div>
1651</div>
1652<a id="af75dd30cff3d42ff35ddd2b625b7e9ae"></a>
1653<h2 class="memtitle"><span class="permalink"><a href="#af75dd30cff3d42ff35ddd2b625b7e9ae">&#9670;&nbsp;</a></span>MakeLoadedNetwork()</h2>
1654
1655<div class="memitem">
1656<div class="memproto">
1657<table class="mlabels">
1658 <tr>
1659 <td class="mlabels-left">
1660 <table class="memname">
1661 <tr>
1662 <td class="memname">std::unique_ptr&lt; <a class="el" href="classarmnn_1_1_loaded_network.html">LoadedNetwork</a> &gt; MakeLoadedNetwork </td>
1663 <td>(</td>
1664 <td class="paramtype">std::unique_ptr&lt; <a class="el" href="classarmnn_1_1_i_optimized_network.html">IOptimizedNetwork</a> &gt;&#160;</td>
1665 <td class="paramname"><em>net</em>, </td>
1666 </tr>
1667 <tr>
1668 <td class="paramkey"></td>
1669 <td></td>
1670 <td class="paramtype">std::string &amp;&#160;</td>
1671 <td class="paramname"><em>errorMessage</em>, </td>
1672 </tr>
1673 <tr>
1674 <td class="paramkey"></td>
1675 <td></td>
1676 <td class="paramtype">const <a class="el" href="structarmnn_1_1_i_network_properties.html">INetworkProperties</a> &amp;&#160;</td>
1677 <td class="paramname"><em>networkProperties</em>, </td>
1678 </tr>
1679 <tr>
1680 <td class="paramkey"></td>
1681 <td></td>
1682 <td class="paramtype">arm::pipe::IProfilingService *&#160;</td>
1683 <td class="paramname"><em>profilingService</em>&#160;</td>
1684 </tr>
1685 <tr>
1686 <td></td>
1687 <td>)</td>
1688 <td></td><td></td>
1689 </tr>
1690 </table>
1691 </td>
1692 <td class="mlabels-right">
1693<span class="mlabels"><span class="mlabel">static</span></span> </td>
1694 </tr>
1695</table>
1696</div><div class="memdoc">
1697
1698<p class="definition">Definition at line <a class="el" href="_loaded_network_8cpp_source.html#l00173">173</a> of file <a class="el" href="_loaded_network_8cpp_source.html">LoadedNetwork.cpp</a>.</p>
1699<div class="fragment"><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160;{</div>
1700<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; std::unique_ptr&lt;LoadedNetwork&gt; loadedNetwork;</div>
1701<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; </div>
1702<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; <span class="keyword">auto</span> Fail = [&amp;](<span class="keyword">const</span> std::exception&amp; <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acb5e100e5a9a3e7f6d1fd97512215282">error</a>) -&gt; std::unique_ptr&lt;LoadedNetwork&gt;</div>
1703<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; {</div>
1704<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; errorMessage = ToErrorMessage(<span class="stringliteral">&quot;An error occurred when preparing the network workloads: &quot;</span>, error);</div>
1705<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(error) &lt;&lt; errorMessage;</div>
1706<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; </div>
1707<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; <span class="keywordflow">return</span> std::unique_ptr&lt;LoadedNetwork&gt;();</div>
1708<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; };</div>
1709<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; </div>
1710<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; <span class="keywordflow">try</span></div>
1711<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; {</div>
1712<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; loadedNetwork.reset(<span class="keyword">new</span> LoadedNetwork(std::move(net), networkProperties, profilingService));</div>
1713<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; }</div>
1714<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; <span class="keywordflow">catch</span> (<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_runtime_exception.html">armnn::RuntimeException</a>&amp; error)</div>
1715<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; {</div>
1716<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; <span class="keywordflow">return</span> Fail(error);</div>
1717<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; }</div>
1718<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; <span class="keywordflow">catch</span> (<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>&amp; error)</div>
1719<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; {</div>
1720<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; <span class="keywordflow">return</span> Fail(error);</div>
1721<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; }</div>
1722<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; <span class="keywordflow">catch</span> (<span class="keyword">const</span> std::runtime_error&amp; error)</div>
1723<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; {</div>
1724<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; <span class="keywordflow">return</span> Fail(error);</div>
1725<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; }</div>
1726<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; </div>
1727<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; <span class="keywordflow">return</span> loadedNetwork;</div>
1728<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160;}</div>
1729</div><!-- fragment -->
1730<p class="reference">References <a class="el" href="_logging_8hpp_source.html#l00212">ARMNN_LOG</a>, and <a class="el" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acb5e100e5a9a3e7f6d1fd97512215282">armnn::error</a>.</p>
1731
1732<p class="reference">Referenced by <a class="el" href="_runtime_8cpp_source.html#l00181">RuntimeImpl::LoadNetwork()</a>.</p>
1733
1734</div>
1735</div>
1736<a id="a091ea8d2d804c8902f3120fdf2a36512"></a>
1737<h2 class="memtitle"><span class="permalink"><a href="#a091ea8d2d804c8902f3120fdf2a36512">&#9670;&nbsp;</a></span>RegisterDebugCallback()</h2>
1738
1739<div class="memitem">
1740<div class="memproto">
1741 <table class="memname">
1742 <tr>
1743 <td class="memname">void RegisterDebugCallback </td>
1744 <td>(</td>
1745 <td class="paramtype">const <a class="el" href="namespacearmnn.html#a15f3ad9b5e4e3d46b0a6dda246a7bc28">DebugCallbackFunction</a> &amp;&#160;</td>
1746 <td class="paramname"><em>func</em></td><td>)</td>
1747 <td></td>
1748 </tr>
1749 </table>
1750</div><div class="memdoc">
1751
1752<p class="definition">Definition at line <a class="el" href="_loaded_network_8cpp_source.html#l02296">2296</a> of file <a class="el" href="_loaded_network_8cpp_source.html">LoadedNetwork.cpp</a>.</p>
1753<div class="fragment"><div class="line"><a name="l02297"></a><span class="lineno"> 2297</span>&#160;{</div>
1754<div class="line"><a name="l02298"></a><span class="lineno"> 2298</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp;&amp; workloadPtr: m_WorkloadQueue)</div>
1755<div class="line"><a name="l02299"></a><span class="lineno"> 2299</span>&#160; {</div>
1756<div class="line"><a name="l02300"></a><span class="lineno"> 2300</span>&#160; workloadPtr.get()-&gt;RegisterDebugCallback(func);</div>
1757<div class="line"><a name="l02301"></a><span class="lineno"> 2301</span>&#160; }</div>
1758<div class="line"><a name="l02302"></a><span class="lineno"> 2302</span>&#160;}</div>
1759</div><!-- fragment -->
1760<p class="reference">Referenced by <a class="el" href="_runtime_8cpp_source.html#l00769">RuntimeImpl::RegisterDebugCallback()</a>.</p>
1761
1762</div>
1763</div>
1764<a id="ae41171032a9c106c1fd4b5991045eb0b"></a>
1765<h2 class="memtitle"><span class="permalink"><a href="#ae41171032a9c106c1fd4b5991045eb0b">&#9670;&nbsp;</a></span>SendNetworkStructure()</h2>
1766
1767<div class="memitem">
1768<div class="memproto">
1769 <table class="memname">
1770 <tr>
1771 <td class="memname">void SendNetworkStructure </td>
1772 <td>(</td>
1773 <td class="paramtype">arm::pipe::IProfilingService &amp;&#160;</td>
1774 <td class="paramname"><em>profilingService</em></td><td>)</td>
1775 <td></td>
1776 </tr>
1777 </table>
1778</div><div class="memdoc">
1779
1780<p class="definition">Definition at line <a class="el" href="_loaded_network_8cpp_source.html#l00672">672</a> of file <a class="el" href="_loaded_network_8cpp_source.html">LoadedNetwork.cpp</a>.</p>
1781<div class="fragment"><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>&#160;{</div>
1782<div class="line"><a name="l00674"></a><span class="lineno"> 674</span>&#160; <a class="code" href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">&quot;LoadNetwork_SendNetworkStructure&quot;</span>);</div>
1783<div class="line"><a name="l00675"></a><span class="lineno"> 675</span>&#160; Graph&amp; order = m_OptimizedNetwork-&gt;pOptimizedNetworkImpl-&gt;GetGraph().TopologicalSort();</div>
1784<div class="line"><a name="l00676"></a><span class="lineno"> 676</span>&#160; ProfilingGuid networkGuid = m_OptimizedNetwork-&gt;GetGuid();</div>
1785<div class="line"><a name="l00677"></a><span class="lineno"> 677</span>&#160; </div>
1786<div class="line"><a name="l00678"></a><span class="lineno"> 678</span>&#160; std::unique_ptr&lt;TimelineUtilityMethods&gt; timelineUtils =</div>
1787<div class="line"><a name="l00679"></a><span class="lineno"> 679</span>&#160; TimelineUtilityMethods::GetTimelineUtils(profilingService);</div>
1788<div class="line"><a name="l00680"></a><span class="lineno"> 680</span>&#160; </div>
1789<div class="line"><a name="l00681"></a><span class="lineno"> 681</span>&#160; timelineUtils-&gt;CreateTypedEntity(networkGuid, LabelsAndEventClasses::NETWORK_GUID);</div>
1790<div class="line"><a name="l00682"></a><span class="lineno"> 682</span>&#160; </div>
1791<div class="line"><a name="l00683"></a><span class="lineno"> 683</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp;&amp; layer : order)</div>
1792<div class="line"><a name="l00684"></a><span class="lineno"> 684</span>&#160; {</div>
1793<div class="line"><a name="l00685"></a><span class="lineno"> 685</span>&#160; <span class="comment">// Add layer to the post-optimisation network structure</span></div>
1794<div class="line"><a name="l00686"></a><span class="lineno"> 686</span>&#160; AddLayerStructure(timelineUtils, *layer, networkGuid);</div>
1795<div class="line"><a name="l00687"></a><span class="lineno"> 687</span>&#160; <span class="keywordflow">switch</span> (layer-&gt;GetType())</div>
1796<div class="line"><a name="l00688"></a><span class="lineno"> 688</span>&#160; {</div>
1797<div class="line"><a name="l00689"></a><span class="lineno"> 689</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>:</div>
1798<div class="line"><a name="l00690"></a><span class="lineno"> 690</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a>:</div>
1799<div class="line"><a name="l00691"></a><span class="lineno"> 691</span>&#160; {</div>
1800<div class="line"><a name="l00692"></a><span class="lineno"> 692</span>&#160; <span class="comment">// Inputs and outputs are treated in a special way - see EnqueueInput() and EnqueueOutput().</span></div>
1801<div class="line"><a name="l00693"></a><span class="lineno"> 693</span>&#160; <span class="keywordflow">break</span>;</div>
1802<div class="line"><a name="l00694"></a><span class="lineno"> 694</span>&#160; }</div>
1803<div class="line"><a name="l00695"></a><span class="lineno"> 695</span>&#160; <span class="keywordflow">default</span>:</div>
1804<div class="line"><a name="l00696"></a><span class="lineno"> 696</span>&#160; {</div>
1805<div class="line"><a name="l00697"></a><span class="lineno"> 697</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; workload : m_WorkloadQueue)</div>
1806<div class="line"><a name="l00698"></a><span class="lineno"> 698</span>&#160; {</div>
1807<div class="line"><a name="l00699"></a><span class="lineno"> 699</span>&#160; <span class="comment">// Add workload to the post-optimisation network structure</span></div>
1808<div class="line"><a name="l00700"></a><span class="lineno"> 700</span>&#160; AddWorkloadStructure(timelineUtils, workload, *layer);</div>
1809<div class="line"><a name="l00701"></a><span class="lineno"> 701</span>&#160; }</div>
1810<div class="line"><a name="l00702"></a><span class="lineno"> 702</span>&#160; <span class="keywordflow">break</span>;</div>
1811<div class="line"><a name="l00703"></a><span class="lineno"> 703</span>&#160; }</div>
1812<div class="line"><a name="l00704"></a><span class="lineno"> 704</span>&#160; }</div>
1813<div class="line"><a name="l00705"></a><span class="lineno"> 705</span>&#160; }</div>
1814<div class="line"><a name="l00706"></a><span class="lineno"> 706</span>&#160; <span class="comment">// Commit to send the post-optimisation network structure</span></div>
1815<div class="line"><a name="l00707"></a><span class="lineno"> 707</span>&#160; timelineUtils-&gt;Commit();</div>
1816<div class="line"><a name="l00708"></a><span class="lineno"> 708</span>&#160;}</div>
1817</div><!-- fragment -->
1818<p class="reference">References <a class="el" href="_profiling_8hpp_source.html#l00220">ARMNN_SCOPED_PROFILING_EVENT</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::Input</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::Output</a>, and <a class="el" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">armnn::Undefined</a>.</p>
1819
1820</div>
1821</div>
1822<hr/>The documentation for this class was generated from the following files:<ul>
1823<li>src/armnn/<a class="el" href="_loaded_network_8hpp_source.html">LoadedNetwork.hpp</a></li>
1824<li>src/armnn/<a class="el" href="_loaded_network_8cpp_source.html">LoadedNetwork.cpp</a></li>
1825</ul>
1826</div><!-- contents -->
1827</div><!-- doc-content -->
1828<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>
1829<div class="ttc" id="anamespacearmnn_html_ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360"><div class="ttname"><a href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">armnn::Compute::Undefined</a></div><div class="ttdeci">@ Undefined</div></div>
1830<div class="ttc" id="astructarmnn_1_1_i_network_properties_html_ad3ab02a7f6310b35c59ca78b509905ca"><div class="ttname"><a href="structarmnn_1_1_i_network_properties.html#ad3ab02a7f6310b35c59ca78b509905ca">armnn::INetworkProperties::m_AsyncEnabled</a></div><div class="ttdeci">const bool m_AsyncEnabled</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.html#l00059">IRuntime.hpp:59</a></div></div>
1831<div class="ttc" id="astructarmnn_1_1_i_network_properties_html_a53d95b257e52b0fd292ba6d40d3c5dc3"><div class="ttname"><a href="structarmnn_1_1_i_network_properties.html#a53d95b257e52b0fd292ba6d40d3c5dc3">armnn::INetworkProperties::m_InputSource</a></div><div class="ttdeci">const MemorySource m_InputSource</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.html#l00065">IRuntime.hpp:65</a></div></div>
1832<div class="ttc" id="aclassarmnn_1_1_tensor_handle_factory_registry_html_a69ca23561f4f8a887f19c6580cbd34c8"><div class="ttname"><a href="classarmnn_1_1_tensor_handle_factory_registry.html#a69ca23561f4f8a887f19c6580cbd34c8">armnn::TensorHandleFactoryRegistry::ReleaseMemory</a></div><div class="ttdeci">void ReleaseMemory()</div><div class="ttdoc">Release memory required for inference.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_factory_registry_8cpp_source.html#l00086">TensorHandleFactoryRegistry.cpp:86</a></div></div>
1833<div class="ttc" id="aclassarmnn_1_1_tensor_handle_factory_registry_html_ae5ecc42140a12c855554a4a621fc8456"><div class="ttname"><a href="classarmnn_1_1_tensor_handle_factory_registry.html#ae5ecc42140a12c855554a4a621fc8456">armnn::TensorHandleFactoryRegistry::GetFactory</a></div><div class="ttdeci">ITensorHandleFactory * GetFactory(ITensorHandleFactory::FactoryId id) const</div><div class="ttdoc">Find a TensorHandleFactory by Id Returns nullptr if not found.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_factory_registry_8cpp_source.html#l00039">TensorHandleFactoryRegistry.cpp:39</a></div></div>
1834<div class="ttc" id="a_deprecated_8hpp_html_ab66a241a0ed3ee89c866e777b035d0ed"><div class="ttname"><a href="_deprecated_8hpp.html#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div><div class="ttdeci">#define ARMNN_NO_DEPRECATE_WARN_BEGIN</div><div class="ttdef"><b>Definition:</b> <a href="_deprecated_8hpp_source.html#l00033">Deprecated.hpp:33</a></div></div>
1835<div class="ttc" id="anamespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acb5e100e5a9a3e7f6d1fd97512215282"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acb5e100e5a9a3e7f6d1fd97512215282">armnn::BoostLogSeverityMapping::error</a></div><div class="ttdeci">@ error</div></div>
1836<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_factory_html_a9c95f90eb40e31f629e0e2947b8bc6f9"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.html#a9c95f90eb40e31f629e0e2947b8bc6f9">armnn::ITensorHandleFactory::LegacyFactoryId</a></div><div class="ttdeci">static const FactoryId LegacyFactoryId</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_handle_factory_8hpp_source.html#l00050">ITensorHandleFactory.hpp:50</a></div></div>
1837<div class="ttc" id="a_logging_8hpp_html_a7b6ad073975f437ec38ca7d20154727f"><div class="ttname"><a href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a></div><div class="ttdeci">#define ARMNN_LOG(severity)</div><div class="ttdef"><b>Definition:</b> <a href="_logging_8hpp_source.html#l00212">Logging.hpp:212</a></div></div>
1838<div class="ttc" id="a_profiling_8hpp_html_a5ccc65e2c464ac05ce311fdae7ede03a"><div class="ttname"><a href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8hpp_source.html#l00220">Profiling.hpp:220</a></div></div>
1839<div class="ttc" id="anamespacearmnn_html_a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360"><div class="ttname"><a href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">armnn::MemorySource::Undefined</a></div><div class="ttdeci">@ Undefined</div></div>
1840<div class="ttc" id="anamespacearmnn_html_ab8cf8f9fb6792e654c2d8d8382f6f01b"><div class="ttname"><a href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a></div><div class="ttdeci">int LayerBindingId</div><div class="ttdoc">Type of identifiers for bindable layers (inputs, outputs).</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00309">Types.hpp:309</a></div></div>
1841<div class="ttc" id="anamespacearmnn_html_a5acae80f1d8fd03cdb3878bd356683d7"><div class="ttname"><a href="namespacearmnn.html#a5acae80f1d8fd03cdb3878bd356683d7">armnn::CopyToOutputTensor</a></div><div class="ttdeci">void CopyToOutputTensor(const Tensor &amp;outputTensor, ITensorHandle *outputTensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_loaded_network_8cpp_source.html#l01444">LoadedNetwork.cpp:1444</a></div></div>
1842<div class="ttc" id="a_heap_profiling_8hpp_html_aeeb927880fc4ffc2eea754a67d884a53"><div class="ttname"><a href="_heap_profiling_8hpp.html#aeeb927880fc4ffc2eea754a67d884a53">ARMNN_SCOPED_HEAP_PROFILING</a></div><div class="ttdeci">#define ARMNN_SCOPED_HEAP_PROFILING(TAG)</div><div class="ttdef"><b>Definition:</b> <a href="_heap_profiling_8hpp_source.html#l00045">HeapProfiling.hpp:45</a></div></div>
1843<div class="ttc" id="anamespacearmnn_html_a84f86b4de5adf0b164e811c87051a0ee"><div class="ttname"><a href="namespacearmnn.html#a84f86b4de5adf0b164e811c87051a0ee">armnn::CheckFlag</a></div><div class="ttdeci">bool CheckFlag(MemorySourceFlags flags, MemorySource source)</div><div class="ttdef"><b>Definition:</b> <a href="_memory_sources_8hpp_source.html#l00041">MemorySources.hpp:41</a></div></div>
1844<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>
1845<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>
1846<div class="ttc" id="aclassarmnn_1_1_runtime_exception_html"><div class="ttname"><a href="classarmnn_1_1_runtime_exception.html">armnn::RuntimeException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00120">Exceptions.hpp:120</a></div></div>
1847<div class="ttc" id="anamespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div><div class="ttdeci">@ info</div></div>
1848<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">armnn::LayerType::MemImport</a></div><div class="ttdeci">@ MemImport</div></div>
1849<div class="ttc" id="anamespacearmnn_html_ac68a434f0e78e33726bfb22a39ec813f"><div class="ttname"><a href="namespacearmnn.html#ac68a434f0e78e33726bfb22a39ec813f">armnn::ImportedOutputId</a></div><div class="ttdeci">unsigned int ImportedOutputId</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00311">Types.hpp:311</a></div></div>
1850<div class="ttc" id="a_deprecated_8hpp_html_ad762b11b48e5c1d1c1743f529485728a"><div class="ttname"><a href="_deprecated_8hpp.html#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div><div class="ttdeci">#define ARMNN_NO_DEPRECATE_WARN_END</div><div class="ttdef"><b>Definition:</b> <a href="_deprecated_8hpp_source.html#l00034">Deprecated.hpp:34</a></div></div>
1851<div class="ttc" id="aclassarmnn_1_1_loaded_network_html_a95b1c23f6f296a0c39383bef20fdd46a"><div class="ttname"><a href="classarmnn_1_1_loaded_network.html#a95b1c23f6f296a0c39383bef20fdd46a">armnn::LoadedNetwork::Execute</a></div><div class="ttdeci">Status Execute(const InputTensors &amp;inputTensors, const OutputTensors &amp;outputTensors, IWorkingMemHandle &amp;workingMemHandle, std::vector&lt; ImportedInputId &gt; preImportedInputs={}, std::vector&lt; ImportedOutputId &gt; preImportedOutputs={})</div><div class="ttdoc">Thread safe execution of the loaded network.</div><div class="ttdef"><b>Definition:</b> <a href="_loaded_network_8cpp_source.html#l01803">LoadedNetwork.cpp:1803</a></div></div>
1852<div class="ttc" id="anamespacearmnn_html_a14fcd7f88d11cea0a018269dca5f9277"><div class="ttname"><a href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277">armnn::MemorySource</a></div><div class="ttdeci">MemorySource</div><div class="ttdoc">Define the Memory Source to reduce copies.</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00244">Types.hpp:244</a></div></div>
1853<div class="ttc" id="aclassarmnn_1_1_graph_validation_exception_html"><div class="ttname"><a href="classarmnn_1_1_graph_validation_exception.html">armnn::GraphValidationException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00110">Exceptions.hpp:110</a></div></div>
1854<div class="ttc" id="aclassarmnn_1_1_loaded_network_html_aaf8558a23ae9be6e7ea165989f1fa808"><div class="ttname"><a href="classarmnn_1_1_loaded_network.html#aaf8558a23ae9be6e7ea165989f1fa808">armnn::LoadedNetwork::FreeWorkingMemory</a></div><div class="ttdeci">void FreeWorkingMemory()</div><div class="ttdef"><b>Definition:</b> <a href="_loaded_network_8cpp_source.html#l01286">LoadedNetwork.cpp:1286</a></div></div>
1855<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_factory_html_a32f4aa6a7089d877af08928139c2c277"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.html#a32f4aa6a7089d877af08928139c2c277">armnn::ITensorHandleFactory::FactoryId</a></div><div class="ttdeci">std::string FactoryId</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_handle_factory_8hpp_source.html#l00049">ITensorHandleFactory.hpp:49</a></div></div>
1856<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a></div><div class="ttdeci">@ Input</div></div>
1857<div class="ttc" id="aclassarmnn_1_1_null_pointer_exception_html"><div class="ttname"><a href="classarmnn_1_1_null_pointer_exception.html">armnn::NullPointerException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00146">Exceptions.hpp:146</a></div></div>
1858<div class="ttc" id="astructarmnn_1_1_i_network_properties_html_a3266436db920d1ca96b0afaadacf3972"><div class="ttname"><a href="structarmnn_1_1_i_network_properties.html#a3266436db920d1ca96b0afaadacf3972">armnn::INetworkProperties::m_OutputSource</a></div><div class="ttdeci">const MemorySource m_OutputSource</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.html#l00066">IRuntime.hpp:66</a></div></div>
1859<div class="ttc" id="anamespacearmnn_html_a67a0db04d321a74b7e7fcfd3f1a3f70bae139a585510a502bbf1841cf589f5086"><div class="ttname"><a href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70bae139a585510a502bbf1841cf589f5086">armnn::Status::Failure</a></div><div class="ttdeci">@ Failure</div></div>
1860<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a></div><div class="ttdeci">@ Output</div></div>
1861<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a></div><div class="ttdeci">@ Constant</div></div>
1862<div class="ttc" id="anamespacearmnn_html_a406399d2a16ead98e4e93cdd57adead4"><div class="ttname"><a href="namespacearmnn.html#a406399d2a16ead98e4e93cdd57adead4">armnn::HasMatchingCapability</a></div><div class="ttdeci">bool HasMatchingCapability(const BackendOptions::BackendOption &amp;capability, const BackendCapabilities &amp;capabilities)</div><div class="ttdoc">Convenience function to check if a given capability matches a capability in a BackendCapabilities str...</div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.html#l00085">BackendHelper.cpp:85</a></div></div>
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