Documentation/classarmnn_1_1_cl_concat_workload.html

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  84 <a href="#pub-methods">Public Member Functions</a> &#124;
  85 <a href="classarmnn_1_1_cl_concat_workload-members.html">List of all members</a>  </div>
  86   <div class="headertitle">
  87 <div class="title">ClConcatWorkload Class Reference</div>  </div>
  88 </div><!--header-->
  89 <div class="contents">
  90
  91 <p><code>#include &lt;<a class="el" href="_cl_concat_workload_8hpp_source.html">ClConcatWorkload.hpp</a>&gt;</code></p>
  92 <div class="dynheader">
  93 Inheritance diagram for ClConcatWorkload:</div>
  94 <div class="dyncontent">
  95  <div class="center">
  96   <img src="classarmnn_1_1_cl_concat_workload.png" usemap="#ClConcatWorkload_map" alt=""/>
  97   <map id="ClConcatWorkload_map" name="ClConcatWorkload_map">
  98 <area href="classarmnn_1_1_base_workload.html" alt="BaseWorkload&lt; ConcatQueueDescriptor &gt;" shape="rect" coords="0,56,254,80"/>
  99 <area href="classarmnn_1_1_i_workload.html" title="Workload interface to enqueue a layer computation. " alt="IWorkload" shape="rect" coords="0,0,254,24"/>
 100 </map>
 101  </div></div>
 102 <table class="memberdecls">
 103 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
 104 Public Member Functions</h2></td></tr>
 105 <tr class="memitem:a430483669b2813761a82e5f26efcb6ba"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_concat_workload.html#a430483669b2813761a82e5f26efcb6ba">ClConcatWorkload</a> (const <a class="el" href="structarmnn_1_1_concat_queue_descriptor.html">ConcatQueueDescriptor</a> &amp;descriptor, const <a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &amp;<a class="el" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</td></tr>
 106 <tr class="separator:a430483669b2813761a82e5f26efcb6ba"><td class="memSeparator" colspan="2">&#160;</td></tr>
 107 <tr class="memitem:ae071e8822437c78baea75c3aef3a263a"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_concat_workload.html#ae071e8822437c78baea75c3aef3a263a">Execute</a> () const override</td></tr>
 108 <tr class="separator:ae071e8822437c78baea75c3aef3a263a"><td class="memSeparator" colspan="2">&#160;</td></tr>
 109 <tr class="inherit_header pub_methods_classarmnn_1_1_base_workload"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarmnn_1_1_base_workload')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarmnn_1_1_base_workload.html">BaseWorkload&lt; ConcatQueueDescriptor &gt;</a></td></tr>
 110 <tr class="memitem:af2ef420610280dc5a661cd3d4836d5a2 inherit pub_methods_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#af2ef420610280dc5a661cd3d4836d5a2">BaseWorkload</a> (const <a class="el" href="structarmnn_1_1_concat_queue_descriptor.html">ConcatQueueDescriptor</a> &amp;descriptor, const <a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &amp;info)</td></tr>
 111 <tr class="separator:af2ef420610280dc5a661cd3d4836d5a2 inherit pub_methods_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
 112 <tr class="memitem:a81627f96ba06d76e147f7d392a8117ed inherit pub_methods_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">PostAllocationConfigure</a> () override</td></tr>
 113 <tr class="separator:a81627f96ba06d76e147f7d392a8117ed inherit pub_methods_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
 114 <tr class="memitem:a965cf380c7adf547d0f14b3f6d1da249 inherit pub_methods_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="structarmnn_1_1_concat_queue_descriptor.html">ConcatQueueDescriptor</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#a965cf380c7adf547d0f14b3f6d1da249">GetData</a> () const</td></tr>
 115 <tr class="separator:a965cf380c7adf547d0f14b3f6d1da249 inherit pub_methods_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
 116 <tr class="memitem:a29c2c6dd77c6fe10674fc6876751cbce inherit pub_methods_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1profiling_1_1_profiling_guid.html">profiling::ProfilingGuid</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#a29c2c6dd77c6fe10674fc6876751cbce">GetGuid</a> () const final</td></tr>
 117 <tr class="separator:a29c2c6dd77c6fe10674fc6876751cbce inherit pub_methods_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
 118 <tr class="inherit_header pub_methods_classarmnn_1_1_i_workload"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarmnn_1_1_i_workload')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarmnn_1_1_i_workload.html">IWorkload</a></td></tr>
 119 <tr class="memitem:a69c83c02ae8de866bc7a46c49e69c1ba inherit pub_methods_classarmnn_1_1_i_workload"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload.html#a69c83c02ae8de866bc7a46c49e69c1ba">~IWorkload</a> ()</td></tr>
 120 <tr class="separator:a69c83c02ae8de866bc7a46c49e69c1ba inherit pub_methods_classarmnn_1_1_i_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
 121 <tr class="memitem:ab81312bd5e64cbae2803de9f243bdb32 inherit pub_methods_classarmnn_1_1_i_workload"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload.html#ab81312bd5e64cbae2803de9f243bdb32">RegisterDebugCallback</a> (const <a class="el" href="namespacearmnn.html#a15f3ad9b5e4e3d46b0a6dda246a7bc28">DebugCallbackFunction</a> &amp;)</td></tr>
 122 <tr class="separator:ab81312bd5e64cbae2803de9f243bdb32 inherit pub_methods_classarmnn_1_1_i_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
 123 </table><table class="memberdecls">
 124 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="inherited"></a>
 125 Additional Inherited Members</h2></td></tr>
 126 <tr class="inherit_header pro_attribs_classarmnn_1_1_base_workload"><td colspan="2" onclick="javascript:toggleInherit('pro_attribs_classarmnn_1_1_base_workload')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classarmnn_1_1_base_workload.html">BaseWorkload&lt; ConcatQueueDescriptor &gt;</a></td></tr>
 127 <tr class="memitem:a0a487c549c63319505095b855ea3c195 inherit pro_attribs_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="structarmnn_1_1_concat_queue_descriptor.html">ConcatQueueDescriptor</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a></td></tr>
 128 <tr class="separator:a0a487c549c63319505095b855ea3c195 inherit pro_attribs_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
 129 <tr class="memitem:a902044db290170b8467ed4697b7fed24 inherit pro_attribs_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1profiling_1_1_profiling_guid.html">profiling::ProfilingGuid</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#a902044db290170b8467ed4697b7fed24">m_Guid</a></td></tr>
 130 <tr class="separator:a902044db290170b8467ed4697b7fed24 inherit pro_attribs_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
 131 </table>
 132 <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
 133 <div class="textblock">
 134 <p class="definition">Definition at line <a class="el" href="_cl_concat_workload_8hpp_source.html#l00020">20</a> of file <a class="el" href="_cl_concat_workload_8hpp_source.html">ClConcatWorkload.hpp</a>.</p>
 135 </div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
 136 <a id="a430483669b2813761a82e5f26efcb6ba"></a>
 137 <h2 class="memtitle"><span class="permalink"><a href="#a430483669b2813761a82e5f26efcb6ba">&#9670;&nbsp;</a></span>ClConcatWorkload()</h2>
 138
 139 <div class="memitem">
 140 <div class="memproto">
 141       <table class="memname">
 142         <tr>
 143           <td class="memname"><a class="el" href="classarmnn_1_1_cl_concat_workload.html">ClConcatWorkload</a> </td>
 144           <td>(</td>
 145           <td class="paramtype">const <a class="el" href="structarmnn_1_1_concat_queue_descriptor.html">ConcatQueueDescriptor</a> &amp;&#160;</td>
 146           <td class="paramname"><em>descriptor</em>, </td>
 147         </tr>
 148         <tr>
 149           <td class="paramkey"></td>
 150           <td></td>
 151           <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &amp;&#160;</td>
 152           <td class="paramname"><em>info</em>&#160;</td>
 153         </tr>
 154         <tr>
 155           <td></td>
 156           <td>)</td>
 157           <td></td><td></td>
 158         </tr>
 159       </table>
 160 </div><div class="memdoc">
 161
 162 <p class="definition">Definition at line <a class="el" href="_cl_concat_workload_8cpp_source.html#l00050">50</a> of file <a class="el" href="_cl_concat_workload_8cpp_source.html">ClConcatWorkload.cpp</a>.</p>
 163
 164 <p class="reference">References <a class="el" href="_workload_8hpp_source.html#l00046">BaseWorkload&lt; ConcatQueueDescriptor &gt;::m_Data</a>, <a class="el" href="_workload_data_8hpp_source.html#l00030">QueueDescriptor::m_Inputs</a>, <a class="el" href="_workload_data_8hpp_source.html#l00031">QueueDescriptor::m_Outputs</a>, and <a class="el" href="_workload_data_8hpp_source.html#l00049">QueueDescriptorWithParameters&lt; LayerDescriptor &gt;::m_Parameters</a>.</p>
 165 <div class="fragment"><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;: BaseWorkload&lt;ConcatQueueDescriptor&gt;(descriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;{</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;    <span class="keywordtype">bool</span> allInputsAreSubtensors = <span class="keyword">true</span>;</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    <span class="comment">// Check that all inputs are sub-tensors</span></div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;    <span class="keywordflow">for</span> (<span class="keyword">auto</span> input : descriptor.m_Inputs)</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;    {</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;        <span class="keywordflow">if</span> (!input-&gt;GetParent())</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;        {</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;            <span class="comment">// Non sub-tensor input found so we need to execute the concat function</span></div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;            allInputsAreSubtensors = <span class="keyword">false</span>;</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;            <span class="keywordflow">break</span>;</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;        }</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;    }</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;    <span class="keywordflow">if</span> (allInputsAreSubtensors)</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    {</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;        <span class="comment">// Can skip configuring the concat function since it&#39;s not executed</span></div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;        <span class="keywordflow">return</span>;</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    }</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;    std::vector&lt;arm_compute::ICLTensor *&gt; aclInputs;</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;    <span class="keywordflow">for</span> (<span class="keyword">auto</span> input : <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>)</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;    {</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;        arm_compute::ICLTensor&amp; aclInput  = boost::polymorphic_pointer_downcast&lt;IClTensorHandle&gt;(input)-&gt;GetTensor();</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;        aclInputs.emplace_back(&amp;aclInput);</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;    }</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;    arm_compute::ICLTensor&amp; output = boost::polymorphic_pointer_downcast&lt;IClTensorHandle&gt;(</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;                                                                         <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0])-&gt;GetTensor();</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;    <span class="comment">// Create the layer function</span></div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;    <span class="keyword">auto</span> layer = std::make_unique&lt;arm_compute::CLConcatenateLayer&gt;();</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;    <span class="comment">// Configure input and output tensors</span></div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    <span class="keywordtype">size_t</span> aclAxis = CalcAxis(descriptor.m_Parameters);</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;    layer-&gt;configure(aclInputs, &amp;output, aclAxis);</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    <span class="comment">// Prepare</span></div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;    layer-&gt;prepare();</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;    m_Layer = std::move(layer);</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;}</div><div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
 166 <div class="ttc" id="classarmnn_1_1_base_workload_html_a0a487c549c63319505095b855ea3c195"><div class="ttname"><a href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">armnn::BaseWorkload&lt; ConcatQueueDescriptor &gt;::m_Data</a></div><div class="ttdeci">const ConcatQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00046">Workload.hpp:46</a></div></div>
 167 <div class="ttc" id="structarmnn_1_1_queue_descriptor_html_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::QueueDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector&lt; ITensorHandle * &gt; m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00031">WorkloadData.hpp:31</a></div></div>
 168 <div class="ttc" id="structarmnn_1_1_queue_descriptor_html_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">armnn::QueueDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector&lt; ITensorHandle * &gt; m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00030">WorkloadData.hpp:30</a></div></div>
 169 </div><!-- fragment -->
 170 </div>
 171 </div>
 172 <h2 class="groupheader">Member Function Documentation</h2>
 173 <a id="ae071e8822437c78baea75c3aef3a263a"></a>
 174 <h2 class="memtitle"><span class="permalink"><a href="#ae071e8822437c78baea75c3aef3a263a">&#9670;&nbsp;</a></span>Execute()</h2>
 175
 176 <div class="memitem">
 177 <div class="memproto">
 178 <table class="mlabels">
 179   <tr>
 180   <td class="mlabels-left">
 181       <table class="memname">
 182         <tr>
 183           <td class="memname">void Execute </td>
 184           <td>(</td>
 185           <td class="paramname"></td><td>)</td>
 186           <td> const</td>
 187         </tr>
 188       </table>
 189   </td>
 190   <td class="mlabels-right">
 191 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
 192   </tr>
 193 </table>
 194 </div><div class="memdoc">
 195
 196 <p>Implements <a class="el" href="classarmnn_1_1_i_workload.html#a72ae00e6604850c8798c5e0d825ee7e4">IWorkload</a>.</p>
 197
 198 <p class="definition">Definition at line <a class="el" href="_cl_concat_workload_8cpp_source.html#l00093">93</a> of file <a class="el" href="_cl_concat_workload_8cpp_source.html">ClConcatWorkload.cpp</a>.</p>
 199
 200 <p class="reference">References <a class="el" href="_cl_workload_utils_8hpp_source.html#l00020">ARMNN_SCOPED_PROFILING_EVENT_CL</a>.</p>
 201 <div class="fragment"><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;{</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;    <span class="keywordflow">if</span> (m_Layer)</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;    {</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;        <a class="code" href="_cl_workload_utils_8hpp.html#a9166fc90a3ea47a2c9499a810b204daf">ARMNN_SCOPED_PROFILING_EVENT_CL</a>(<span class="stringliteral">&quot;ClConcatWorkload_Execute&quot;</span>);</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;        m_Layer-&gt;run();</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    }</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;}</div><div class="ttc" id="_cl_workload_utils_8hpp_html_a9166fc90a3ea47a2c9499a810b204daf"><div class="ttname"><a href="_cl_workload_utils_8hpp.html#a9166fc90a3ea47a2c9499a810b204daf">ARMNN_SCOPED_PROFILING_EVENT_CL</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_CL(name)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.html#l00020">ClWorkloadUtils.hpp:20</a></div></div>
 202 </div><!-- fragment -->
 203 </div>
 204 </div>
 205 <hr/>The documentation for this class was generated from the following files:<ul>
 206 <li>src/backends/cl/workloads/<a class="el" href="_cl_concat_workload_8hpp_source.html">ClConcatWorkload.hpp</a></li>
 207 <li>src/backends/cl/workloads/<a class="el" href="_cl_concat_workload_8cpp_source.html">ClConcatWorkload.cpp</a></li>
 208 </ul>
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