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| 93 | |
| 94 | <div class="header"> |
| 95 | <div class="summary"> |
| 96 | <a href="#pub-methods">Public Member Functions</a> | |
| 97 | <a href="classarmnn_1_1_cl_gather_nd_workload-members.html">List of all members</a> </div> |
| 98 | <div class="headertitle"> |
| 99 | <div class="title">ClGatherNdWorkload Class Reference</div> </div> |
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| 101 | <div class="contents"> |
| 102 | |
| 103 | <p><code>#include <<a class="el" href="_cl_gather_nd_workload_8hpp_source.html">ClGatherNdWorkload.hpp</a>></code></p> |
| 104 | <div class="dynheader"> |
| 105 | Inheritance diagram for ClGatherNdWorkload:</div> |
| 106 | <div class="dyncontent"> |
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| 108 | </div> |
| 109 | <center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div> |
| 110 | <div class="dynheader"> |
| 111 | Collaboration diagram for ClGatherNdWorkload:</div> |
| 112 | <div class="dyncontent"> |
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| 114 | </div> |
| 115 | <center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div> |
| 116 | <table class="memberdecls"> |
| 117 | <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a> |
| 118 | Public Member Functions</h2></td></tr> |
| 119 | <tr class="memitem:a5868930f1571f13d08cda4116b00b7c0"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_gather_nd_workload.html#a5868930f1571f13d08cda4116b00b7c0">ClGatherNdWorkload</a> (const <a class="el" href="structarmnn_1_1_gather_nd_queue_descriptor.html">GatherNdQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &info, const arm_compute::CLCompileContext &clCompileContext)</td></tr> |
| 120 | <tr class="separator:a5868930f1571f13d08cda4116b00b7c0"><td class="memSeparator" colspan="2"> </td></tr> |
| 121 | <tr class="memitem:ae071e8822437c78baea75c3aef3a263a"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_gather_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">Execute</a> () const override</td></tr> |
| 122 | <tr class="separator:ae071e8822437c78baea75c3aef3a263a"><td class="memSeparator" colspan="2"> </td></tr> |
| 123 | <tr class="inherit_header pub_methods_classarmnn_1_1_cl_base_workload"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarmnn_1_1_cl_base_workload')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarmnn_1_1_cl_base_workload.html">ClBaseWorkload< GatherNdQueueDescriptor ></a></td></tr> |
| 124 | <tr class="memitem:a9f15be9211aece9ebe4ce837c487df0c inherit pub_methods_classarmnn_1_1_cl_base_workload"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_base_workload.html#a9f15be9211aece9ebe4ce837c487df0c">ClBaseWorkload</a> (const <a class="el" href="structarmnn_1_1_gather_nd_queue_descriptor.html">GatherNdQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &info)</td></tr> |
| 125 | <tr class="separator:a9f15be9211aece9ebe4ce837c487df0c inherit pub_methods_classarmnn_1_1_cl_base_workload"><td class="memSeparator" colspan="2"> </td></tr> |
| 126 | <tr class="memitem:ab0a67f8179ddb997dda0070a6661f837 inherit pub_methods_classarmnn_1_1_cl_base_workload"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_base_workload.html#ab0a67f8179ddb997dda0070a6661f837">ReplaceInputTensorHandle</a> (<a class="el" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a> *tensorHandle, unsigned int slot) override</td></tr> |
| 127 | <tr class="separator:ab0a67f8179ddb997dda0070a6661f837 inherit pub_methods_classarmnn_1_1_cl_base_workload"><td class="memSeparator" colspan="2"> </td></tr> |
| 128 | <tr class="memitem:acc08590544f05c641d21c724aedf26dd inherit pub_methods_classarmnn_1_1_cl_base_workload"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_base_workload.html#acc08590544f05c641d21c724aedf26dd">ReplaceOutputTensorHandle</a> (<a class="el" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a> *tensorHandle, unsigned int slot) override</td></tr> |
| 129 | <tr class="separator:acc08590544f05c641d21c724aedf26dd inherit pub_methods_classarmnn_1_1_cl_base_workload"><td class="memSeparator" colspan="2"> </td></tr> |
| 130 | <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="-"/> Public Member Functions inherited from <a class="el" href="classarmnn_1_1_base_workload.html">BaseWorkload< GatherNdQueueDescriptor ></a></td></tr> |
| 131 | <tr class="memitem:af2ef420610280dc5a661cd3d4836d5a2 inherit pub_methods_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top"> </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_gather_nd_queue_descriptor.html">GatherNdQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &info)</td></tr> |
| 132 | <tr class="separator:af2ef420610280dc5a661cd3d4836d5a2 inherit pub_methods_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2"> </td></tr> |
| 133 | <tr class="memitem:a163c04b26f9804eafc598a047128f887 inherit pub_methods_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">virtual const std::string & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#a163c04b26f9804eafc598a047128f887">GetName</a> () const override</td></tr> |
| 134 | <tr class="separator:a163c04b26f9804eafc598a047128f887 inherit pub_methods_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2"> </td></tr> |
| 135 | <tr class="memitem:ae1c43d025fc90382d7aff7a500937e2c inherit pub_methods_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#ae1c43d025fc90382d7aff7a500937e2c">ExecuteAsync</a> (<a class="el" href="structarmnn_1_1experimental_1_1_execution_data.html">ExecutionData</a> &executionData) override</td></tr> |
| 136 | <tr class="separator:ae1c43d025fc90382d7aff7a500937e2c inherit pub_methods_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2"> </td></tr> |
| 137 | <tr class="memitem:a81627f96ba06d76e147f7d392a8117ed inherit pub_methods_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">PostAllocationConfigure</a> () override</td></tr> |
| 138 | <tr class="separator:a81627f96ba06d76e147f7d392a8117ed inherit pub_methods_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2"> </td></tr> |
| 139 | <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_gather_nd_queue_descriptor.html">GatherNdQueueDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#a965cf380c7adf547d0f14b3f6d1da249">GetData</a> () const</td></tr> |
| 140 | <tr class="separator:a965cf380c7adf547d0f14b3f6d1da249 inherit pub_methods_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2"> </td></tr> |
| 141 | <tr class="memitem:aaff95a48875d8fb4a616352906660ca9 inherit pub_methods_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">arm::pipe::ProfilingGuid </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#aaff95a48875d8fb4a616352906660ca9">GetGuid</a> () const final</td></tr> |
| 142 | <tr class="separator:aaff95a48875d8fb4a616352906660ca9 inherit pub_methods_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2"> </td></tr> |
| 143 | <tr class="memitem:a0c326c344355d8423217e9431781f2ee inherit pub_methods_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">virtual bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#a0c326c344355d8423217e9431781f2ee">SupportsTensorHandleReplacement</a> () const override</td></tr> |
| 144 | <tr class="separator:a0c326c344355d8423217e9431781f2ee inherit pub_methods_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2"> </td></tr> |
| 145 | <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="-"/> Public Member Functions inherited from <a class="el" href="classarmnn_1_1_i_workload.html">IWorkload</a></td></tr> |
| 146 | <tr class="memitem:a69c83c02ae8de866bc7a46c49e69c1ba inherit pub_methods_classarmnn_1_1_i_workload"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload.html#a69c83c02ae8de866bc7a46c49e69c1ba">~IWorkload</a> ()</td></tr> |
| 147 | <tr class="separator:a69c83c02ae8de866bc7a46c49e69c1ba inherit pub_methods_classarmnn_1_1_i_workload"><td class="memSeparator" colspan="2"> </td></tr> |
| 148 | <tr class="memitem:a00f887eb14b9ed163d795b31c4964965 inherit pub_methods_classarmnn_1_1_i_workload"><td class="memItemLeft" align="right" valign="top">virtual arm::pipe::ProfilingGuid </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload.html#a00f887eb14b9ed163d795b31c4964965">GetGuid</a> () const =0</td></tr> |
| 149 | <tr class="separator:a00f887eb14b9ed163d795b31c4964965 inherit pub_methods_classarmnn_1_1_i_workload"><td class="memSeparator" colspan="2"> </td></tr> |
| 150 | <tr class="memitem:a9cc47a21a60b5e47247cde5e660e29ce inherit pub_methods_classarmnn_1_1_i_workload"><td class="memItemLeft" align="right" valign="top">virtual bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload.html#a9cc47a21a60b5e47247cde5e660e29ce">SupportsTensorHandleReplacement</a> () const =0</td></tr> |
| 151 | <tr class="separator:a9cc47a21a60b5e47247cde5e660e29ce inherit pub_methods_classarmnn_1_1_i_workload"><td class="memSeparator" colspan="2"> </td></tr> |
| 152 | <tr class="memitem:a4295bd67f063570a3a378dc2fbf16df5 inherit pub_methods_classarmnn_1_1_i_workload"><td class="memItemLeft" align="right" valign="top">virtual const std::string & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload.html#a4295bd67f063570a3a378dc2fbf16df5">GetName</a> () const =0</td></tr> |
| 153 | <tr class="separator:a4295bd67f063570a3a378dc2fbf16df5 inherit pub_methods_classarmnn_1_1_i_workload"><td class="memSeparator" colspan="2"> </td></tr> |
| 154 | <tr class="memitem:ab81312bd5e64cbae2803de9f243bdb32 inherit pub_methods_classarmnn_1_1_i_workload"><td class="memItemLeft" align="right" valign="top">virtual void </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> &)</td></tr> |
| 155 | <tr class="separator:ab81312bd5e64cbae2803de9f243bdb32 inherit pub_methods_classarmnn_1_1_i_workload"><td class="memSeparator" colspan="2"> </td></tr> |
| 156 | <tr class="memitem:a2d2834d1029217934f504e3e59579081 inherit pub_methods_classarmnn_1_1_i_workload"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="classarmnn_1_1_optional.html">armnn::Optional</a>< <a class="el" href="structarmnn_1_1_memory_requirements.html">armnn::MemoryRequirements</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload.html#a2d2834d1029217934f504e3e59579081">GetMemoryRequirements</a> ()</td></tr> |
| 157 | <tr class="separator:a2d2834d1029217934f504e3e59579081 inherit pub_methods_classarmnn_1_1_i_workload"><td class="memSeparator" colspan="2"> </td></tr> |
| 158 | </table><table class="memberdecls"> |
| 159 | <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="inherited"></a> |
| 160 | Additional Inherited Members</h2></td></tr> |
| 161 | <tr class="inherit_header pro_methods_classarmnn_1_1_cl_base_workload"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_classarmnn_1_1_cl_base_workload')"><img src="closed.png" alt="-"/> Protected Member Functions inherited from <a class="el" href="classarmnn_1_1_cl_base_workload.html">ClBaseWorkload< GatherNdQueueDescriptor ></a></td></tr> |
| 162 | <tr class="memitem:ac07f175c0e658269e0c824a7450c3345 inherit pro_methods_classarmnn_1_1_cl_base_workload"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_cl_base_workload.html#ac07f175c0e658269e0c824a7450c3345">Reconfigure</a> ()</td></tr> |
| 163 | <tr class="separator:ac07f175c0e658269e0c824a7450c3345 inherit pro_methods_classarmnn_1_1_cl_base_workload"><td class="memSeparator" colspan="2"> </td></tr> |
| 164 | <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="-"/> Protected Attributes inherited from <a class="el" href="classarmnn_1_1_base_workload.html">BaseWorkload< GatherNdQueueDescriptor ></a></td></tr> |
| 165 | <tr class="memitem:afb8d2c8817c75de9d01a4c0e0d5c160b inherit pro_attribs_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarmnn_1_1_gather_nd_queue_descriptor.html">GatherNdQueueDescriptor</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a></td></tr> |
| 166 | <tr class="separator:afb8d2c8817c75de9d01a4c0e0d5c160b inherit pro_attribs_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2"> </td></tr> |
| 167 | <tr class="memitem:a4c2b3ca86eec6c199364671af267cd2c inherit pro_attribs_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">const arm::pipe::ProfilingGuid </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#a4c2b3ca86eec6c199364671af267cd2c">m_Guid</a></td></tr> |
| 168 | <tr class="separator:a4c2b3ca86eec6c199364671af267cd2c inherit pro_attribs_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2"> </td></tr> |
| 169 | <tr class="memitem:a77806f89d6edb879d3f6c6b6b18168a7 inherit pro_attribs_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">const std::string </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#a77806f89d6edb879d3f6c6b6b18168a7">m_Name</a></td></tr> |
| 170 | <tr class="separator:a77806f89d6edb879d3f6c6b6b18168a7 inherit pro_attribs_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2"> </td></tr> |
| 171 | </table> |
| 172 | <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| 173 | <div class="textblock"> |
| 174 | <p class="definition">Definition at line <a class="el" href="_cl_gather_nd_workload_8hpp_source.html#l00022">22</a> of file <a class="el" href="_cl_gather_nd_workload_8hpp_source.html">ClGatherNdWorkload.hpp</a>.</p> |
| 175 | </div><h2 class="groupheader">Constructor & Destructor Documentation</h2> |
| 176 | <a id="a5868930f1571f13d08cda4116b00b7c0"></a> |
| 177 | <h2 class="memtitle"><span class="permalink"><a href="#a5868930f1571f13d08cda4116b00b7c0">◆ </a></span>ClGatherNdWorkload()</h2> |
| 178 | |
| 179 | <div class="memitem"> |
| 180 | <div class="memproto"> |
| 181 | <table class="memname"> |
| 182 | <tr> |
| 183 | <td class="memname"><a class="el" href="classarmnn_1_1_cl_gather_nd_workload.html">ClGatherNdWorkload</a> </td> |
| 184 | <td>(</td> |
| 185 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_gather_nd_queue_descriptor.html">GatherNdQueueDescriptor</a> & </td> |
| 186 | <td class="paramname"><em>descriptor</em>, </td> |
| 187 | </tr> |
| 188 | <tr> |
| 189 | <td class="paramkey"></td> |
| 190 | <td></td> |
| 191 | <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> & </td> |
| 192 | <td class="paramname"><em>info</em>, </td> |
| 193 | </tr> |
| 194 | <tr> |
| 195 | <td class="paramkey"></td> |
| 196 | <td></td> |
| 197 | <td class="paramtype">const arm_compute::CLCompileContext & </td> |
| 198 | <td class="paramname"><em>clCompileContext</em> </td> |
| 199 | </tr> |
| 200 | <tr> |
| 201 | <td></td> |
| 202 | <td>)</td> |
| 203 | <td></td><td></td> |
| 204 | </tr> |
| 205 | </table> |
| 206 | </div><div class="memdoc"> |
| 207 | <p>Calculate flattened indices: m_FlattenedIndices = indices * m_FlattenedCoeff. This could be done using MatMul instead of multiplication followed by reduce sum operation, but GeMM does not support s32 at the moment.</p> |
| 208 | <p>Call Gather with adequate shapes</p> |
| 209 | |
| 210 | <p class="definition">Definition at line <a class="el" href="_cl_gather_nd_workload_8cpp_source.html#l00099">99</a> of file <a class="el" href="_cl_gather_nd_workload_8cpp_source.html">ClGatherNdWorkload.cpp</a>.</p> |
| 211 | <div class="fragment"><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  : ClBaseWorkload<GatherNdQueueDescriptor>(descriptor, info)</div> |
| 212 | <div class="line"><a name="l00103"></a><span class="lineno"> 103</span> {</div> |
| 213 | <div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a765d2cee4ccce5b9467e0c2b6d25b84a">ValidateInputsOutputs</a>(<span class="stringliteral">"ClGatherNdWorkload"</span>, 2, 1);</div> |
| 214 | <div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  </div> |
| 215 | <div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  TensorInfo paramsInfo = <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[0];</div> |
| 216 | <div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  TensorInfo indicesInfo = <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[1];</div> |
| 217 | <div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  TensorInfo outputInfo = <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_OutputTensorInfos[0];</div> |
| 218 | <div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  </div> |
| 219 | <div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  arm_compute::ICLTensor& input = <span class="keyword">static_cast<</span>IClTensorHandle*<span class="keyword">></span>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0])->GetTensor();</div> |
| 220 | <div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  arm_compute::ICLTensor& indices = <span class="keyword">static_cast<</span>IClTensorHandle*<span class="keyword">></span>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[1])->GetTensor();</div> |
| 221 | <div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  arm_compute::ICLTensor& output = <span class="keyword">static_cast<</span>IClTensorHandle*<span class="keyword">></span>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0])->GetTensor();</div> |
| 222 | <div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  </div> |
| 223 | <div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="comment">// Calculate ND, K, W, C.</span></div> |
| 224 | <div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  std::map<std::string, unsigned int> keyIndices = <a class="code" href="namespacearmnn.html#ac40d3e4035af5fbe68d9e126a8d6367c">CalculateGatherNdKeyIndices</a>(paramsInfo, indicesInfo);</div> |
| 225 | <div class="line"><a name="l00116"></a><span class="lineno"> 116</span> <span class="comment"></span> </div> |
| 226 | <div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="comment"> /// Calculate flattened indices: m_FlattenedIndices = indices * m_FlattenedCoeff.</span></div> |
| 227 | <div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="comment"> /// This could be done using MatMul instead of multiplication followed by reduce sum operation,</span></div> |
| 228 | <div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="comment"> /// but GeMM does not support s32 at the moment.</span></div> |
| 229 | <div class="line"><a name="l00120"></a><span class="lineno"> 120</span> <span class="comment"></span> </div> |
| 230 | <div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="comment">// Prepare the tensor to store the output of the reduce_sum operation</span></div> |
| 231 | <div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> flattenedIndices_Info = indicesInfo;</div> |
| 232 | <div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  flattenedIndices_Info.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ keyIndices[<span class="stringliteral">"W"</span>] });</div> |
| 233 | <div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  BuildArmComputeTensor(m_FlattenedIndices, flattenedIndices_Info);</div> |
| 234 | <div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  armcomputetensorutils::InitialiseArmComputeTensorEmpty(m_FlattenedIndices);</div> |
| 235 | <div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  </div> |
| 236 | <div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="comment">// Reshape indices into { W, ND }</span></div> |
| 237 | <div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  indices.info()->set_tensor_shape(BuildArmComputeTensorShape({ keyIndices[<span class="stringliteral">"W"</span>], keyIndices[<span class="stringliteral">"ND"</span>] }));</div> |
| 238 | <div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  </div> |
| 239 | <div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="comment">// Calculate the m_FlattenedCoeff</span></div> |
| 240 | <div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  TensorShape paramsShape = paramsInfo.GetShape();</div> |
| 241 | <div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  std::vector<int32_t> flattenedCoeff(keyIndices[<span class="stringliteral">"ND"</span>], 1);</div> |
| 242 | <div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 1; i < keyIndices[<span class="stringliteral">"ND"</span>]; ++i)</div> |
| 243 | <div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  {</div> |
| 244 | <div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  flattenedCoeff[i - 1] = <span class="keyword">static_cast<</span>int32_t<span class="keyword">></span>(paramsShape[i]);</div> |
| 245 | <div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  }</div> |
| 246 | <div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = keyIndices[<span class="stringliteral">"ND"</span>] - 1; i > 0; --i)</div> |
| 247 | <div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  {</div> |
| 248 | <div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  flattenedCoeff[i - 1] *= flattenedCoeff[i];</div> |
| 249 | <div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  }</div> |
| 250 | <div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> flattenedCoeff_Info = indicesInfo;</div> |
| 251 | <div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  flattenedCoeff_Info.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ keyIndices[<span class="stringliteral">"ND"</span>] });</div> |
| 252 | <div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  BuildArmComputeTensor(m_FlattenedCoeff, flattenedCoeff_Info);</div> |
| 253 | <div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  armcomputetensorutils::InitialiseArmComputeTensorEmpty(m_FlattenedCoeff);</div> |
| 254 | <div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  CopyArmComputeClTensorData<int32_t>(m_FlattenedCoeff, flattenedCoeff.data());</div> |
| 255 | <div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  </div> |
| 256 | <div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="comment">// Prepare the tensor to store the output of the multiplication</span></div> |
| 257 | <div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputMul_Info = indicesInfo;</div> |
| 258 | <div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  outputMul_Info.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ keyIndices[<span class="stringliteral">"W"</span>], keyIndices[<span class="stringliteral">"ND"</span>] });</div> |
| 259 | <div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  BuildArmComputeTensor(m_OutputMul, outputMul_Info);</div> |
| 260 | <div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  armcomputetensorutils::InitialiseArmComputeTensorEmpty(m_OutputMul);</div> |
| 261 | <div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  </div> |
| 262 | <div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="comment">// Multiply</span></div> |
| 263 | <div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  m_MulLayer.configure(clCompileContext,</div> |
| 264 | <div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  &indices,</div> |
| 265 | <div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  &m_FlattenedCoeff,</div> |
| 266 | <div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  &m_OutputMul,</div> |
| 267 | <div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  1.0f,</div> |
| 268 | <div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  arm_compute::ConvertPolicy::WRAP,</div> |
| 269 | <div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  arm_compute::RoundingPolicy::TO_ZERO,</div> |
| 270 | <div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  arm_compute::ActivationLayerInfo());</div> |
| 271 | <div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  </div> |
| 272 | <div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="comment">// Reduce Sum</span></div> |
| 273 | <div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keyword">const</span> std::vector<unsigned int> armnnReduceAxes(1, 1);</div> |
| 274 | <div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <a class="code" href="namespacearmnn.html#ac6e86c1def7f674d3c4cb7f577874aa6">arm_compute::Coordinates</a> coords = BuildArmComputeReductionCoordinates(m_OutputMul.info()->num_dimensions(),</div> |
| 275 | <div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  outputMul_Info.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(),</div> |
| 276 | <div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  armnnReduceAxes);</div> |
| 277 | <div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  m_ReduceSumLayer.configure(clCompileContext,</div> |
| 278 | <div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  &m_OutputMul,</div> |
| 279 | <div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  &m_FlattenedIndices,</div> |
| 280 | <div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(coords[0]),</div> |
| 281 | <div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  arm_compute::ReductionOperation::SUM,</div> |
| 282 | <div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keyword">false</span>);</div> |
| 283 | <div class="line"><a name="l00174"></a><span class="lineno"> 174</span> <span class="comment"></span> </div> |
| 284 | <div class="line"><a name="l00175"></a><span class="lineno"> 175</span> <span class="comment"> /// Call Gather with adequate shapes</span></div> |
| 285 | <div class="line"><a name="l00176"></a><span class="lineno"> 176</span> <span class="comment"></span> <span class="comment">// Reshape params into { K, C }</span></div> |
| 286 | <div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  paramsInfo.SetShape({ keyIndices[<span class="stringliteral">"K"</span>], keyIndices[<span class="stringliteral">"C"</span>] });</div> |
| 287 | <div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  input.info()->set_tensor_shape(BuildArmComputeTensorShape(paramsInfo.GetShape()));</div> |
| 288 | <div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  </div> |
| 289 | <div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="comment">// Reshape output to have the shape given by gather { W, C }</span></div> |
| 290 | <div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="comment">// (the original outputInfo has the shape given by gatherNd)</span></div> |
| 291 | <div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputGather_Info = outputInfo;</div> |
| 292 | <div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  outputGather_Info.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ keyIndices[<span class="stringliteral">"W"</span>], keyIndices[<span class="stringliteral">"C"</span>] });</div> |
| 293 | <div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  BuildArmComputeTensor(m_OutputGather, outputGather_Info);</div> |
| 294 | <div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  armcomputetensorutils::InitialiseArmComputeTensorEmpty(m_OutputGather);</div> |
| 295 | <div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  {</div> |
| 296 | <div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <a class="code" href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>(<span class="stringliteral">"ClGatherNdWorkload_configure"</span>);</div> |
| 297 | <div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keyword">auto</span> aclAxis = <a class="code" href="namespacearmnn.html#a44a3b98b37a25c995aa9e4dae7d7b456">ComputeAclAxis</a>(0, paramsInfo);</div> |
| 298 | <div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  m_GatherLayer.configure(clCompileContext, &input, &m_FlattenedIndices, &m_OutputGather, aclAxis);</div> |
| 299 | <div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  }</div> |
| 300 | <div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  </div> |
| 301 | <div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="comment">// Reshape output to the original output shape</span></div> |
| 302 | <div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  m_ReshapeLayer.configure(clCompileContext, &m_OutputGather, &output);</div> |
| 303 | <div class="line"><a name="l00194"></a><span class="lineno"> 194</span> };</div> |
| 304 | </div><!-- fragment --> |
| 305 | <p class="reference">References <a class="el" href="_workload_utils_8cpp_source.html#l00313">armnn::CalculateGatherNdKeyIndices()</a>, <a class="el" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_workload_8hpp_source.html#l00089">BaseWorkload< GatherNdQueueDescriptor >::m_Data</a>, <a class="el" href="_workload_data_8hpp_source.html#l00026">QueueDescriptor::m_Inputs</a>, <a class="el" href="_workload_data_8hpp_source.html#l00027">QueueDescriptor::m_Outputs</a>, <a class="el" href="_tensor_8hpp_source.html#l00195">TensorInfo::SetShape()</a>, and <a class="el" href="_workload_data_8cpp_source.html#l00447">QueueDescriptor::ValidateInputsOutputs()</a>.</p> |
| 306 | |
| 307 | </div> |
| 308 | </div> |
| 309 | <h2 class="groupheader">Member Function Documentation</h2> |
| 310 | <a id="ae071e8822437c78baea75c3aef3a263a"></a> |
| 311 | <h2 class="memtitle"><span class="permalink"><a href="#ae071e8822437c78baea75c3aef3a263a">◆ </a></span>Execute()</h2> |
| 312 | |
| 313 | <div class="memitem"> |
| 314 | <div class="memproto"> |
| 315 | <table class="mlabels"> |
| 316 | <tr> |
| 317 | <td class="mlabels-left"> |
| 318 | <table class="memname"> |
| 319 | <tr> |
| 320 | <td class="memname">void Execute </td> |
| 321 | <td>(</td> |
| 322 | <td class="paramname"></td><td>)</td> |
| 323 | <td> const</td> |
| 324 | </tr> |
| 325 | </table> |
| 326 | </td> |
| 327 | <td class="mlabels-right"> |
| 328 | <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| 329 | </tr> |
| 330 | </table> |
| 331 | </div><div class="memdoc"> |
| 332 | |
| 333 | <p>Implements <a class="el" href="classarmnn_1_1_i_workload.html#a72ae00e6604850c8798c5e0d825ee7e4">IWorkload</a>.</p> |
| 334 | |
| 335 | <p class="definition">Definition at line <a class="el" href="_cl_gather_nd_workload_8cpp_source.html#l00196">196</a> of file <a class="el" href="_cl_gather_nd_workload_8cpp_source.html">ClGatherNdWorkload.cpp</a>.</p> |
| 336 | <div class="fragment"><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> {</div> |
| 337 | <div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <a class="code" href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>(<span class="stringliteral">"ClGatherNdWorkload_Execute"</span>);</div> |
| 338 | <div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <a class="code" href="namespacearmnn.html#a52c299ca6a3884c609583a5a0663db80">RunClFunction</a>(m_MulLayer, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div> |
| 339 | <div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <a class="code" href="namespacearmnn.html#a52c299ca6a3884c609583a5a0663db80">RunClFunction</a>(m_ReduceSumLayer, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div> |
| 340 | <div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <a class="code" href="namespacearmnn.html#a52c299ca6a3884c609583a5a0663db80">RunClFunction</a>(m_GatherLayer, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div> |
| 341 | <div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <a class="code" href="namespacearmnn.html#a52c299ca6a3884c609583a5a0663db80">RunClFunction</a>(m_ReshapeLayer, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div> |
| 342 | <div class="line"><a name="l00203"></a><span class="lineno"> 203</span> }</div> |
| 343 | </div><!-- fragment --> |
| 344 | <p class="reference">References <a class="el" href="_cl_workload_utils_8hpp_source.html#l00036">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>, <a class="el" href="_exceptions_8hpp_source.html#l00203">CHECK_LOCATION</a>, and <a class="el" href="_cl_workload_utils_8hpp_source.html#l00167">armnn::RunClFunction()</a>.</p> |
| 345 | |
| 346 | </div> |
| 347 | </div> |
| 348 | <hr/>The documentation for this class was generated from the following files:<ul> |
| 349 | <li>src/backends/cl/workloads/<a class="el" href="_cl_gather_nd_workload_8hpp_source.html">ClGatherNdWorkload.hpp</a></li> |
| 350 | <li>src/backends/cl/workloads/<a class="el" href="_cl_gather_nd_workload_8cpp_source.html">ClGatherNdWorkload.cpp</a></li> |
| 351 | </ul> |
| 352 | </div><!-- contents --> |
| 353 | </div><!-- doc-content --> |
| 354 | <div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a765d2cee4ccce5b9467e0c2b6d25b84a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a765d2cee4ccce5b9467e0c2b6d25b84a">armnn::QueueDescriptor::ValidateInputsOutputs</a></div><div class="ttdeci">void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l00447">WorkloadData.cpp:447</a></div></div> |
| 355 | <div class="ttc" id="aclassarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00152">Tensor.hpp:152</a></div></div> |
| 356 | <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00197">Tensor.hpp:197</a></div></div> |
| 357 | <div class="ttc" id="a_exceptions_8hpp_html_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00203">Exceptions.hpp:203</a></div></div> |
| 358 | <div class="ttc" id="anamespacearmnn_html_ac6e86c1def7f674d3c4cb7f577874aa6"><div class="ttname"><a href="namespacearmnn.html#ac6e86c1def7f674d3c4cb7f577874aa6">armnn::Coordinates</a></div><div class="ttdeci">std::array< unsigned int, MaxNumOfTensorDimensions > Coordinates</div><div class="ttdef"><b>Definition:</b> <a href="_internal_types_8hpp_source.html#l00015">InternalTypes.hpp:15</a></div></div> |
| 359 | <div class="ttc" id="a_cl_workload_utils_8hpp_html_a2d57ef1645138f5f8a6dbd2ce92dc072"><div class="ttname"><a href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID(label)</div><div class="ttdoc">Creates a profiling event that uses GetGuid() and GetName() from the calling class.</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.html#l00036">ClWorkloadUtils.hpp:36</a></div></div> |
| 360 | <div class="ttc" id="anamespacearmnn_html_ac40d3e4035af5fbe68d9e126a8d6367c"><div class="ttname"><a href="namespacearmnn.html#ac40d3e4035af5fbe68d9e126a8d6367c">armnn::CalculateGatherNdKeyIndices</a></div><div class="ttdeci">std::map< std::string, unsigned int > CalculateGatherNdKeyIndices(TensorInfo inputInfo0, TensorInfo inputInfo1)</div><div class="ttdoc">Calculates the key index values needed for GatherNd: N, ND, K, W, C (N is always 1)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_utils_8cpp_source.html#l00313">WorkloadUtils.cpp:313</a></div></div> |
| 361 | <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> |
| 362 | <div class="ttc" id="astructarmnn_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< ITensorHandle * > m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00027">WorkloadData.hpp:27</a></div></div> |
| 363 | <div class="ttc" id="aclassarmnn_1_1_base_workload_html_afb8d2c8817c75de9d01a4c0e0d5c160b"><div class="ttname"><a href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">armnn::BaseWorkload< GatherNdQueueDescriptor >::m_Data</a></div><div class="ttdeci">GatherNdQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00089">Workload.hpp:89</a></div></div> |
| 364 | <div class="ttc" id="anamespacearmnn_html_a52c299ca6a3884c609583a5a0663db80"><div class="ttname"><a href="namespacearmnn.html#a52c299ca6a3884c609583a5a0663db80">armnn::RunClFunction</a></div><div class="ttdeci">void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.html#l00167">ClWorkloadUtils.hpp:167</a></div></div> |
| 365 | <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_abe8889e8150beef5fd204b2d87b49298"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">armnn::TensorInfo::SetShape</a></div><div class="ttdeci">void SetShape(const TensorShape &newShape)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00195">Tensor.hpp:195</a></div></div> |
| 366 | <div class="ttc" id="anamespacearmnn_html_a44a3b98b37a25c995aa9e4dae7d7b456"><div class="ttname"><a href="namespacearmnn.html#a44a3b98b37a25c995aa9e4dae7d7b456">armnn::ComputeAclAxis</a></div><div class="ttdeci">int ComputeAclAxis(const int &armnnAxis, const armnn::TensorInfo &tensor)</div><div class="ttdoc">Function to convert ArmNN axis (left to right) to ACL axis (right to left) ranging from [-rank,...</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.html#l00246">ArmComputeUtils.hpp:246</a></div></div> |
| 367 | <div class="ttc" id="astructarmnn_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< ITensorHandle * > m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00026">WorkloadData.hpp:26</a></div></div> |
| 368 | <!-- start footer part --> |
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| 370 | <ul> |
| 371 | <li class="navelem"><a class="el" href="namespacearmnn.html">armnn</a></li><li class="navelem"><a class="el" href="classarmnn_1_1_cl_gather_nd_workload.html">ClGatherNdWorkload</a></li> |
| 372 | <li class="footer">Generated on Thu May 16 2024 09:31:55 for Arm NN by |
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| 374 | <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.17 </li> |
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