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author | Nikhil Raj <nikhil.raj@arm.com> | 2023-11-22 11:41:15 +0000 |
---|---|---|
committer | Nikhil Raj <nikhil.raj@arm.com> | 2023-11-22 11:41:15 +0000 |
commit | 6f92c8e9f8bb38dcf5dccf8deeff5112ecd8e37c (patch) | |
tree | 0c076149c03ac45c2617f5e02a77b79287ff5a0f /23.11/_ref_gather_nd_workload_8cpp_source.html | |
parent | 03c7ff3f6188240baaeaeb405a357a0c58195fec (diff) | |
download | armnn-6f92c8e9f8bb38dcf5dccf8deeff5112ecd8e37c.tar.gz |
Update Doxygen for 23.11
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I47cd933f5002cb94a73aa97689d7b3d9c93cb849
Diffstat (limited to '23.11/_ref_gather_nd_workload_8cpp_source.html')
-rw-r--r-- | 23.11/_ref_gather_nd_workload_8cpp_source.html | 238 |
1 files changed, 238 insertions, 0 deletions
diff --git a/23.11/_ref_gather_nd_workload_8cpp_source.html b/23.11/_ref_gather_nd_workload_8cpp_source.html new file mode 100644 index 0000000000..3d3097707f --- /dev/null +++ b/23.11/_ref_gather_nd_workload_8cpp_source.html @@ -0,0 +1,238 @@ +<!-- HTML header for doxygen 1.8.17--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns="http://www.w3.org/1999/xhtml"> +<head> +<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> +<meta http-equiv="X-UA-Compatible" content="IE=9"/> +<meta name="generator" content="Doxygen 1.8.17"/> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>Arm NN: src/backends/reference/workloads/RefGatherNdWorkload.cpp Source File</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="jquery.js"></script> +<script type="text/javascript" src="dynsections.js"></script> +<link href="navtree.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="resize.js"></script> +<script type="text/javascript" src="navtreedata.js"></script> +<script type="text/javascript" src="navtree.js"></script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script> +<script type="text/javascript" async="async" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="customdoxygen.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 15rem; margin-top: .5rem; margin-left 13px"/> + <td id="projectalign" style="padding-left: 0.9em;"> + <div id="projectname"> +  <span id="projectnumber">23.11</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.17 --> +<script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +/* @license-end */ +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +/* @license-end */</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +$(document).ready(function(){initNavTree('_ref_gather_nd_workload_8cpp_source.html',''); initResizable(); }); +/* @license-end */ +</script> +<div id="doc-content"> +<!-- window showing the filter options --> +<div id="MSearchSelectWindow" + onmouseover="return searchBox.OnSearchSelectShow()" + onmouseout="return searchBox.OnSearchSelectHide()" + onkeydown="return searchBox.OnSearchSelectKey(event)"> +</div> + +<!-- iframe showing the search results (closed by default) --> +<div id="MSearchResultsWindow"> +<iframe src="javascript:void(0)" frameborder="0" + name="MSearchResults" id="MSearchResults"> +</iframe> +</div> + +<div class="header"> + <div class="headertitle"> +<div class="title">RefGatherNdWorkload.cpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_ref_gather_nd_workload_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div> +<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2022-2023 Arm Ltd and Contributors. All rights reserved.</span></div> +<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div> +<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div> +<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>  </div> +<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include <fmt/format.h></span></div> +<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_ref_gather_nd_workload_8hpp.html">RefGatherNdWorkload.hpp</a>"</span></div> +<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>  </div> +<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include "<a class="code" href="_gather_8hpp.html">Gather.hpp</a>"</span></div> +<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include "<a class="code" href="_profiling_8hpp.html">Profiling.hpp</a>"</span></div> +<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include "<a class="code" href="_ref_workload_utils_8hpp.html">RefWorkloadUtils.hpp</a>"</span></div> +<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include "<a class="code" href="_workload_utils_8hpp.html">backendsCommon/WorkloadUtils.hpp</a>"</span></div> +<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>  </div> +<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div> +<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> {</div> +<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  </div> +<div class="line"><a name="l00017"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_gather_nd_workload.html#ae071e8822437c78baea75c3aef3a263a"> 17</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_gather_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">RefGatherNdWorkload::Execute</a>()<span class="keyword"> const</span></div> +<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <a class="code" href="classarmnn_1_1_ref_gather_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">Execute</a>(<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>, <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>);</div> +<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> }</div> +<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  </div> +<div class="line"><a name="l00022"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_gather_nd_workload.html#ae1c43d025fc90382d7aff7a500937e2c"> 22</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_gather_nd_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefGatherNdWorkload::ExecuteAsync</a>(<a class="code" href="structarmnn_1_1experimental_1_1_execution_data.html">ExecutionData</a>& executionData)</div> +<div class="line"><a name="l00023"></a><span class="lineno"> 23</span> {</div> +<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html">WorkingMemDescriptor</a>* workingMemDescriptor = <span class="keyword">static_cast<</span><a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html">WorkingMemDescriptor</a>*<span class="keyword">></span>(executionData.<a class="code" href="structarmnn_1_1experimental_1_1_execution_data.html#ad2b382076f26f48cd44783cfca2e3642">m_Data</a>);</div> +<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <a class="code" href="classarmnn_1_1_ref_gather_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">Execute</a>(workingMemDescriptor-><a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>, workingMemDescriptor-><a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>);</div> +<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> }</div> +<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  </div> +<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_gather_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">RefGatherNdWorkload::Execute</a>(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs)<span class="keyword"> const</span></div> +<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <a class="code" href="_ref_workload_utils_8hpp.html#a06acca4fd832e0fb179604112c0505af">ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID</a>(<span class="stringliteral">"RefGatherNdWorkload_Execute"</span>);</div> +<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  </div> +<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputInfo0 = <a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(inputs[0]);</div> +<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputInfo1 = <a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(inputs[1]);</div> +<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputInfo = <a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(outputs[0]);</div> +<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  </div> +<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  std::unique_ptr<Decoder<float>> params_decoderPtr = MakeDecoder<float>(inputInfo0, inputs[0]-><a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div> +<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  </div> +<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keyword">const</span> int32_t* indicesDataPtr = <span class="keyword">reinterpret_cast<</span>int32_t*<span class="keyword">></span>(inputs[1]->Map());</div> +<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  std::vector<int32_t> indices(indicesDataPtr, indicesDataPtr + inputInfo1.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>());</div> +<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="comment">// Check for negative indices, it could not be checked in validate as we do not have access to the values there</span></div> +<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < inputInfo1.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(); ++i)</div> +<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  {</div> +<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keywordflow">if</span> (indices[i] < 0)</div> +<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  {</div> +<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>((fmt::format(<span class="stringliteral">"GatherNd: indices[{}] < 0"</span>, i)));</div> +<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  }</div> +<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  }</div> +<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  </div> +<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  std::unique_ptr<Encoder<float>> output_encoderPtr = MakeEncoder<float>(outputInfo, outputs[0]-><a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div> +<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  </div> +<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  std::map<std::string, unsigned int> keyIndices = <a class="code" href="namespacearmnn.html#ac40d3e4035af5fbe68d9e126a8d6367c">CalculateGatherNdKeyIndices</a>(inputInfo0, inputInfo1);</div> +<div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment"></span> </div> +<div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment"> /// Calculate flattened indices: flattenedIndices = indices * flattenedCoefficients</span></div> +<div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"></span> <span class="comment">// Calculate the flattened coefficients to use in the multiplication</span></div> +<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="comment">// to calculate the flattened indices needed by gather</span></div> +<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  TensorShape paramsShape = inputInfo0.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div> +<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  std::vector<unsigned int> flattenedCoeff(keyIndices[<span class="stringliteral">"ND"</span>], 1);</div> +<div class="line"><a name="l00058"></a><span class="lineno"> 58</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> +<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  {</div> +<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  flattenedCoeff[i-1] = paramsShape[i];</div> +<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  }</div> +<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="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> +<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  {</div> +<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  flattenedCoeff[i-1] *= flattenedCoeff[i];</div> +<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  }</div> +<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  </div> +<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="comment">// Prepare the vector to store the output of the matrix multiplication,</span></div> +<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="comment">// which will represent the flattened indices needed by gather</span></div> +<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> flattenedIndices_Info = inputInfo1;</div> +<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  flattenedIndices_Info.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ keyIndices[<span class="stringliteral">"W"</span>] });</div> +<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  std::vector<int32_t> flattenedIndices(flattenedIndices_Info.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(), 0);</div> +<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  </div> +<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="comment">// Multiplication to calculate the flattened indices, which are the indices needed by gather.</span></div> +<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < keyIndices[<span class="stringliteral">"W"</span>]; ++i)</div> +<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  {</div> +<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = 0; j < keyIndices[<span class="stringliteral">"ND"</span>]; ++j)</div> +<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  {</div> +<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  flattenedIndices[i] += indices[i * keyIndices[<span class="stringliteral">"ND"</span>] + j] * <span class="keyword">static_cast<</span>int32_t<span class="keyword">></span>(flattenedCoeff[j]);</div> +<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  }</div> +<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  }</div> +<div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="comment"></span> </div> +<div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="comment"> /// Call Gather with adequate shapes</span></div> +<div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="comment"></span> <span class="comment">// Reshape params into {K, C}</span></div> +<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> params_K_C_Info = inputInfo0;</div> +<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  params_K_C_Info.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ keyIndices[<span class="stringliteral">"K"</span>], keyIndices[<span class="stringliteral">"C"</span>] });</div> +<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  </div> +<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="comment">// Reshape indices into {N, W}</span></div> +<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> indices_N_W_Info = inputInfo1;</div> +<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  indices_N_W_Info.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ keyIndices[<span class="stringliteral">"N"</span>], keyIndices[<span class="stringliteral">"W"</span>] });</div> +<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  </div> +<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="comment">// Reshape output to have the shape given by gather {N, W, C}</span></div> +<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="comment">// (the original outputInfo has the shape given by gatherNd)</span></div> +<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputGather_Info = outputInfo;</div> +<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  outputGather_Info.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ keyIndices[<span class="stringliteral">"N"</span>], keyIndices[<span class="stringliteral">"W"</span>], keyIndices[<span class="stringliteral">"C"</span>] });</div> +<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  </div> +<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="comment">// output_gather = gather(params_K_C, indices_N_W)</span></div> +<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <a class="code" href="namespacearmnn.html#a4f1a1b88b01d8dfda3803776e0778a49">Gather</a>(params_K_C_Info, indices_N_W_Info, outputGather_Info,</div> +<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  *params_decoderPtr, flattenedIndices.data(), *output_encoderPtr, 0);</div> +<div class="line"><a name="l00099"></a><span class="lineno"> 99</span> }</div> +<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  </div> +<div class="line"><a name="l00101"></a><span class="lineno"> 101</span> } <span class="comment">//namespace armnn</span></div> +</div><!-- fragment --></div><!-- contents --> +</div><!-- doc-content --> +<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00196">Tensor.hpp:196</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_gather_nd_workload_html_ae1c43d025fc90382d7aff7a500937e2c"><div class="ttname"><a href="classarmnn_1_1_ref_gather_nd_workload.html#ae1c43d025fc90382d7aff7a500937e2c">armnn::RefGatherNdWorkload::ExecuteAsync</a></div><div class="ttdeci">void ExecuteAsync(ExecutionData &executionData) override</div><div 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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#l00312">WorkloadUtils.cpp:312</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_invalid_argument_exception_html"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00080">Exceptions.hpp:80</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_gather_nd_workload_html_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_ref_gather_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">armnn::RefGatherNdWorkload::Execute</a></div><div class="ttdeci">void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a 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