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| author | Nikhil Raj <nikhil.raj@arm.com> | 2022-11-23 11:05:29 +0000 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2022-11-23 11:09:30 +0000 |
| commit | cb0630959aeae05bc2ae9f6d80cf5f5983a8fb77 (patch) | |
| tree | 0dbcf7ed5eb76622aba7bb742f39621aa476e3e8 /22.11/_cl_channel_shuffle_workload_8cpp_source.xhtml | |
| parent | 7bfd38a721360183f3392f9ab35db18a0dd7fef8 (diff) | |
| download | armnn-cb0630959aeae05bc2ae9f6d80cf5f5983a8fb77.tar.gz | |
IVGCVSW-7075 Update Doxygen for 22.11 Release
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: Ib5669e8fd3739d1b10f5dd694d020d51799896dc
Diffstat (limited to '22.11/_cl_channel_shuffle_workload_8cpp_source.xhtml')
| -rw-r--r-- | 22.11/_cl_channel_shuffle_workload_8cpp_source.xhtml | 149 |
1 files changed, 149 insertions, 0 deletions
diff --git a/22.11/_cl_channel_shuffle_workload_8cpp_source.xhtml b/22.11/_cl_channel_shuffle_workload_8cpp_source.xhtml new file mode 100644 index 0000000000..cd762e891d --- /dev/null +++ b/22.11/_cl_channel_shuffle_workload_8cpp_source.xhtml @@ -0,0 +1,149 @@ +<!-- Copyright (c) 2020 ARM Limited. --> +<!-- --> +<!-- SPDX-License-Identifier: MIT --> +<!-- --> +<!-- HTML header for doxygen 1.8.13--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://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 1.8.13"/> +<meta name="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: src/backends/cl/workloads/ClChannelShuffleWorkload.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> +<script type="text/javascript"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">22.11</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +$(document).ready(function(){initNavTree('_cl_channel_shuffle_workload_8cpp_source.xhtml','');}); +</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">ClChannelShuffleWorkload.cpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_cl_channel_shuffle_workload_8cpp.xhtml">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 © 2021 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 "<a class="code" href="_cl_channel_shuffle_workload_8hpp.xhtml">ClChannelShuffleWorkload.hpp</a>"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_cl_workload_utils_8hpp.xhtml">ClWorkloadUtils.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="_polymorphic_downcast_8hpp.xhtml">armnn/utility/PolymorphicDowncast.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> </div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_arm_compute_tensor_utils_8hpp.xhtml">aclCommon/ArmComputeTensorUtils.hpp</a>></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> </div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <<a class="code" href="_cl_tensor_handle_8hpp.xhtml">cl/ClTensorHandle.hpp</a>></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="keyword">using namespace </span><a class="code" href="namespacearmnn_1_1armcomputetensorutils.xhtml">armnn::armcomputetensorutils</a>;</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> </div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> {</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> </div><div class="line"><a name="l00020"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a02e646180897aca9fcbc02d16efdd784"> 20</a></span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.xhtml#a02e646180897aca9fcbc02d16efdd784">ClChannelShuffleValidate</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml">ChannelShuffleDescriptor</a>& descriptor)</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>  arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input);</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);</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>  <span class="comment">// In Arm NN and in NNAPI, channel shuffle implementation is datalayout agnostic and it has axis as a parameter.</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="comment">// The channel shuffle Implementation for Neon is dependent on datalayout and does not have axis as a parameter,</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="comment">// it only supports channel shuffle for 4D tensors in dimension C (1 or 3).</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">arm_compute::DataLayout</a> aclDataLayout;</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keywordflow">if</span> (input.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 4)</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  {</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keywordflow">switch</span> (descriptor.<a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a>)</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  {</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keywordflow">case</span> 1:</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  aclDataLayout = ConvertDataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a>);</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keywordflow">case</span> 3:</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  aclDataLayout = ConvertDataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>);</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a>{arm_compute::ErrorCode::RUNTIME_ERROR, <span class="stringliteral">"Unsupported axis"</span>};</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  }</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  aclInputInfo.set_data_layout(aclDataLayout);</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  aclOutputInfo.set_data_layout(aclDataLayout);</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordflow">return</span> arm_compute::CLChannelShuffleLayer::validate(&aclInputInfo, &aclOutputInfo, descriptor.<a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#a1953d00371489c32ebded5a42eabc0cf">m_NumGroups</a>);</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>  <span class="keywordflow">else</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  {</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a>{arm_compute::ErrorCode::RUNTIME_ERROR, <span class="stringliteral">"Unsupported number of dimensions"</span>};</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  }</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> }</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00054"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_channel_shuffle_workload.xhtml#aca0a20def571942b4cd75157525ef3f0"> 54</a></span> <a class="code" href="classarmnn_1_1_cl_channel_shuffle_workload.xhtml#aca0a20def571942b4cd75157525ef3f0">ClChannelShuffleWorkload::ClChannelShuffleWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_channel_shuffle_queue_descriptor.xhtml">ChannelShuffleQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>,</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keyword">const</span> arm_compute::CLCompileContext& clCompileContext)</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  : <a class="code" href="classarmnn_1_1_cl_base_workload.xhtml">ClBaseWorkload</a><<a class="code" href="structarmnn_1_1_channel_shuffle_queue_descriptor.xhtml">ChannelShuffleQueueDescriptor</a>>(descriptor, info)</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> {</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="comment">// Report Profiling Details</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <a class="code" href="_profiling_8hpp.xhtml#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a>(<span class="stringliteral">"ClChannelShufflenWorkload_Construct"</span>,</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>,</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  info,</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  this->GetGuid());</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> </div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a765d2cee4ccce5b9467e0c2b6d25b84a">ValidateInputsOutputs</a>(<span class="stringliteral">"ClChannelShuffleWorkload"</span>, 1, 1);</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>  arm_compute::ICLTensor& input = PolymorphicDowncast<ClTensorHandle*>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0])->GetTensor();</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  arm_compute::ICLTensor& output = PolymorphicDowncast<ClTensorHandle*>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0])->GetTensor();</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> </div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="comment">// In Arm NN and in NNAPI, channel shuffle implementation is datalayout agnostic and it has axis as a parameter.</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="comment">// The channel shuffle Implementation for Neon is dependent on datalayout and does not have axis as a parameter,</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="comment">// it only supports channel shuffle for 4D tensors in dimension C (1 or 3).</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">arm_compute::DataLayout</a> aclDataLayout;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keywordflow">switch</span> (descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a>)</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">case</span> 1:</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  aclDataLayout = ConvertDataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a>);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keywordflow">case</span> 3:</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  aclDataLayout = ConvertDataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>);</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<span class="keyword">false</span>, <span class="stringliteral">"Unsupported axis"</span>);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  }</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  input.info()->set_data_layout(aclDataLayout);</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  output.info()->set_data_layout(aclDataLayout);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  {</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <a class="code" href="_profiling_8hpp.xhtml#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"ClChannelShuffleWorkload_configure"</span>);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  m_ChannelShuffleLayer.configure(clCompileContext, &input, &output, descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#a1953d00371489c32ebded5a42eabc0cf">m_NumGroups</a>);</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  }</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> }</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> </div><div class="line"><a name="l00095"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_channel_shuffle_workload.xhtml#ae071e8822437c78baea75c3aef3a263a"> 95</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_cl_channel_shuffle_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClChannelShuffleWorkload::Execute</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="keyword"></span>{</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <a class="code" href="_cl_workload_utils_8hpp.xhtml#ae96fe8349d05e83e891129d63d8e2263">ARMNN_SCOPED_PROFILING_EVENT_CL_GUID</a>(<span class="stringliteral">"ClChannelShuffleWorkload_Execute"</span>, this-><a class="code" href="classarmnn_1_1_base_workload.xhtml#aaff95a48875d8fb4a616352906660ca9">GetGuid</a>());</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <a class="code" href="namespacearmnn.xhtml#aff5bee79757341daf750c7dd7c123a15">RunClFunction</a>(m_ChannelShuffleLayer, <a class="code" href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</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 class="ttc" id="_cl_workload_utils_8hpp_xhtml_ae96fe8349d05e83e891129d63d8e2263"><div class="ttname"><a href="_cl_workload_utils_8hpp.xhtml#ae96fe8349d05e83e891129d63d8e2263">ARMNN_SCOPED_PROFILING_EVENT_CL_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_CL_GUID(name, guid)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.xhtml#l00028">ClWorkloadUtils.hpp:28</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00062">Types.hpp:62</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_channel_shuffle_workload_xhtml_aca0a20def571942b4cd75157525ef3f0"><div class="ttname"><a href="classarmnn_1_1_cl_channel_shuffle_workload.xhtml#aca0a20def571942b4cd75157525ef3f0">armnn::ClChannelShuffleWorkload::ClChannelShuffleWorkload</a></div><div class="ttdeci">ClChannelShuffleWorkload(const ChannelShuffleQueueDescriptor &descriptor, const WorkloadInfo &info, const arm_compute::CLCompileContext &clCompileContext)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_channel_shuffle_workload_8cpp_source.xhtml#l00054">ClChannelShuffleWorkload.cpp:54</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_aff5bee79757341daf750c7dd7c123a15"><div class="ttname"><a href="namespacearmnn.xhtml#aff5bee79757341daf750c7dd7c123a15">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.xhtml#l00160">ClWorkloadUtils.hpp:160</a></div></div> +<div class="ttc" id="classarmnn_1_1_base_workload_xhtml_aaff95a48875d8fb4a616352906660ca9"><div class="ttname"><a href="classarmnn_1_1_base_workload.xhtml#aaff95a48875d8fb4a616352906660ca9">armnn::BaseWorkload< ChannelShuffleQueueDescriptor >::GetGuid</a></div><div class="ttdeci">arm::pipe::ProfilingGuid GetGuid() const final</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.xhtml#l00061">Workload.hpp:61</a></div></div> +<div class="ttc" id="_arm_compute_tensor_utils_8hpp_xhtml"><div class="ttname"><a href="_arm_compute_tensor_utils_8hpp.xhtml">ArmComputeTensorUtils.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_channel_shuffle_workload_xhtml_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_cl_channel_shuffle_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">armnn::ClChannelShuffleWorkload::Execute</a></div><div class="ttdeci">virtual void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_channel_shuffle_workload_8cpp_source.xhtml#l00095">ClChannelShuffleWorkload.cpp:95</a></div></div> +<div class="ttc" id="structarmnn_1_1_queue_descriptor_xhtml_a765d2cee4ccce5b9467e0c2b6d25b84a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml#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.xhtml#l00475">WorkloadData.cpp:475</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors. </div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.xhtml#l00006">01_00_quick_start.dox:6</a></div></div> +<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00066">WorkloadData.hpp:66</a></div></div> +<div class="ttc" id="_profiling_8hpp_xhtml_a5ccc65e2c464ac05ce311fdae7ede03a"><div class="ttname"><a href="_profiling_8hpp.xhtml#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.xhtml#l00220">Profiling.hpp:220</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a02e646180897aca9fcbc02d16efdd784"><div class="ttname"><a href="namespacearmnn.xhtml#a02e646180897aca9fcbc02d16efdd784">armnn::ClChannelShuffleValidate</a></div><div class="ttdeci">arm_compute::Status ClChannelShuffleValidate(const TensorInfo &input, const TensorInfo &output, const ChannelShuffleDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_channel_shuffle_workload_8cpp_source.xhtml#l00020">ClChannelShuffleWorkload.cpp:20</a></div></div> +<div class="ttc" id="_polymorphic_downcast_8hpp_xhtml"><div class="ttname"><a href="_polymorphic_downcast_8hpp.xhtml">PolymorphicDowncast.hpp</a></div></div> +<div class="ttc" id="_assert_8hpp_xhtml_a91c4dfde57907d7698c7531785690a7f"><div class="ttname"><a href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a></div><div class="ttdeci">#define ARMNN_ASSERT_MSG(COND, MSG)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00015">Assert.hpp:15</a></div></div> +<div class="ttc" id="classarmnn_1_1_base_workload_xhtml_afb8d2c8817c75de9d01a4c0e0d5c160b"><div class="ttname"><a href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">armnn::BaseWorkload< ChannelShuffleQueueDescriptor >::m_Data</a></div><div class="ttdeci">ChannelShuffleQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.xhtml#l00083">Workload.hpp:83</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360"><div class="ttname"><a href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">armnn::Compute::Undefined</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdoc">enumeration </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00042">Types.hpp:42</a></div></div> +<div class="ttc" id="classarmnn_1_1_cl_base_workload_xhtml"><div class="ttname"><a href="classarmnn_1_1_cl_base_workload.xhtml">armnn::ClBaseWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_cl_base_workload_8hpp_source.xhtml#l00013">ClBaseWorkload.hpp:13</a></div></div> +<div class="ttc" id="_exceptions_8hpp_xhtml_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00203">Exceptions.hpp:203</a></div></div> +<div class="ttc" id="structarmnn_1_1_channel_shuffle_descriptor_xhtml_a1953d00371489c32ebded5a42eabc0cf"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#a1953d00371489c32ebded5a42eabc0cf">armnn::ChannelShuffleDescriptor::m_NumGroups</a></div><div class="ttdeci">uint32_t m_NumGroups</div><div class="ttdoc">Number of groups for the channel shuffle operation. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01511">Descriptors.hpp:1511</a></div></div> +<div class="ttc" id="_cl_channel_shuffle_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_channel_shuffle_workload_8hpp.xhtml">ClChannelShuffleWorkload.hpp</a></div></div> +<div class="ttc" id="_cl_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="_cl_tensor_handle_8hpp.xhtml">ClTensorHandle.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_queue_descriptor_xhtml_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml#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.xhtml#l00027">WorkloadData.hpp:27</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div> +<div class="ttc" id="_profiling_8hpp_xhtml_a786492a3881a4c760ab1eec2149f4aba"><div class="ttname"><a href="_profiling_8hpp.xhtml#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a></div><div class="ttdeci">#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8hpp_source.xhtml#l00227">Profiling.hpp:227</a></div></div> +<div class="ttc" id="structarmnn_1_1_channel_shuffle_descriptor_xhtml_ab218de7805899c8412d75d1fd1d846d2"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.xhtml#ab218de7805899c8412d75d1fd1d846d2">armnn::ChannelShuffleDescriptor::m_Axis</a></div><div class="ttdeci">uint32_t m_Axis</div><div class="ttdoc">Axis to apply channel shuffle operation on. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01513">Descriptors.hpp:1513</a></div></div> +<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about TensorInfos of a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div> +<div class="ttc" id="structarmnn_1_1_channel_shuffle_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_queue_descriptor.xhtml">armnn::ChannelShuffleQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00775">WorkloadData.hpp:775</a></div></div> +<div class="ttc" id="structarmnn_1_1_queue_descriptor_xhtml_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml#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.xhtml#l00026">WorkloadData.hpp:26</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div> +<div class="ttc" id="namespacearmnn_1_1armcomputetensorutils_xhtml"><div class="ttname"><a href="namespacearmnn_1_1armcomputetensorutils.xhtml">armnn::armcomputetensorutils</a></div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_tensor_utils_8cpp_source.xhtml#l00015">ArmComputeTensorUtils.cpp:15</a></div></div> +<div class="ttc" id="structarmnn_1_1_channel_shuffle_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.xhtml">armnn::ChannelShuffleDescriptor</a></div><div class="ttdoc">A ChannelShuffleDescriptor for the ChannelShuffle operator. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01495">Descriptors.hpp:1495</a></div></div> +<div class="ttc" id="_cl_workload_utils_8hpp_xhtml"><div class="ttname"><a href="_cl_workload_utils_8hpp.xhtml">ClWorkloadUtils.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#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.xhtml#l00195">Tensor.hpp:195</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div></div> +</div><!-- fragment --></div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.xhtml">backends</a></li><li class="navelem"><a class="el" href="dir_1ad86c6d39ab715a831555571b9e98a5.xhtml">cl</a></li><li class="navelem"><a class="el" href="dir_2d9c087bc7f49a1d7a25fdc615d2f0c9.xhtml">workloads</a></li><li class="navelem"><a class="el" href="_cl_channel_shuffle_workload_8cpp.xhtml">ClChannelShuffleWorkload.cpp</a></li> + <li class="footer">Generated on Wed Nov 23 2022 10:57:38 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> + </ul> +</div> +</body> +</html> |