| <!-- 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/gpuFsa/workloads/GpuFsaConstantWorkload.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">24.02</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('_gpu_fsa_constant_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">GpuFsaConstantWorkload.cpp</div> </div> |
| </div><!--header--> |
| <div class="contents"> |
| <a href="_gpu_fsa_constant_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 © 2024 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="_gpu_fsa_constant_workload_8hpp.html">GpuFsaConstantWorkload.hpp</a>"</span></div> |
| <div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_gpu_fsa_workload_utils_8hpp.html">GpuFsaWorkloadUtils.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="_half_8hpp.html">Half.hpp</a>></span></div> |
| <div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_arm_compute_tensor_utils_8hpp.html">aclCommon/ArmComputeTensorUtils.hpp</a>></span></div> |
| <div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_gpu_fsa_tensor_handle_8hpp.html">gpuFsa/GpuFsaTensorHandle.hpp</a>></span></div> |
| <div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <<a class="code" href="_tensor_handle_8hpp.html">armnn/backends/TensorHandle.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="namespacearmnn.html#a5c31c4a0efe105a5f26067c8433968dd"> 17</a></span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.html#a5c31c4a0efe105a5f26067c8433968dd">GpuFsaConstantWorkloadValidate</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output)</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>  <span class="keyword">const</span> arm_compute::TensorInfo neonOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output);</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>  std::array<arm_compute::DataType,8> supportedTypes = {</div> |
| <div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  arm_compute::DataType::F16,</div> |
| <div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  arm_compute::DataType::F32,</div> |
| <div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  arm_compute::DataType::QASYMM8,</div> |
| <div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  arm_compute::DataType::QASYMM8_SIGNED,</div> |
| <div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  arm_compute::DataType::QSYMM16,</div> |
| <div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  arm_compute::DataType::QSYMM8,</div> |
| <div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  arm_compute::DataType::QSYMM8_PER_CHANNEL,</div> |
| <div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  arm_compute::DataType::S32</div> |
| <div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  };</div> |
| <div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keyword">auto</span> it = std::find(begin(supportedTypes), end(supportedTypes), neonOutputInfo.data_type());</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">if</span> (it != end(supportedTypes))</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">return</span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a>{};</div> |
| <div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  }</div> |
| <div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  {</div> |
| <div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a>{arm_compute::ErrorCode::RUNTIME_ERROR, <span class="stringliteral">"Unsupported DataType"</span>};</div> |
| <div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  }</div> |
| <div class="line"><a name="l00041"></a><span class="lineno"> 41</span> }</div> |
| <div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  </div> |
| <div class="line"><a name="l00043"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_constant_workload.html#a5470c4fa8a6b6a7b8d5650f295db872b"> 43</a></span> <a class="code" href="classarmnn_1_1_gpu_fsa_constant_workload.html#a5470c4fa8a6b6a7b8d5650f295db872b">GpuFsaConstantWorkload::GpuFsaConstantWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_constant_queue_descriptor.html">ConstantQueueDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& info,</div> |
| <div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keyword">const</span> arm_compute::CLCompileContext&)</div> |
| <div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  : <a class="code" href="classarmnn_1_1_gpu_fsa_base_workload.html">GpuFsaBaseWorkload</a><<a class="code" href="structarmnn_1_1_constant_queue_descriptor.html">ConstantQueueDescriptor</a>>(descriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div> |
| <div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  , m_RanOnce(false)</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> }</div> |
| <div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  </div> |
| <div class="line"><a name="l00051"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_constant_workload.html#ae071e8822437c78baea75c3aef3a263a"> 51</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_gpu_fsa_constant_workload.html#ae071e8822437c78baea75c3aef3a263a">GpuFsaConstantWorkload::Execute</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="comment">// The intermediate tensor held by the corresponding layer output handler can be initialised with the given data</span></div> |
| <div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="comment">// on the first inference, then reused for subsequent inferences.</span></div> |
| <div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="comment">// The initialisation cannot happen at workload construction time since the ACL kernel for the next layer may not</span></div> |
| <div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="comment">// have been configured at the time.</span></div> |
| <div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordflow">if</span> (!m_RanOnce)</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="keyword">const</span> <a class="code" href="structarmnn_1_1_constant_queue_descriptor.html">ConstantQueueDescriptor</a>& data = this-><a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>;</div> |
| <div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  </div> |
| <div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.html#acd77c51cdb162e2b541bc8b474290b7a">m_LayerOutput</a> != <span class="keyword">nullptr</span>);</div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  arm_compute::CLTensor& output = <span class="keyword">static_cast<</span><a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html">GpuFsaTensorHandle</a>*<span class="keyword">></span>(data.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0])->GetTensor();</div> |
| <div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a> computeDataType = <span class="keyword">static_cast<</span><a class="code" href="classarmnn_1_1_gpu_fsa_tensor_handle.html">GpuFsaTensorHandle</a>*<span class="keyword">></span>(data.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0])->GetDataType();</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>  <span class="keywordflow">switch</span> (computeDataType)</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="keywordflow">case</span> arm_compute::DataType::F16:</div> |
| <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  {</div> |
| <div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <a class="code" href="namespacearmnn.html#a80bf40fafb5d10cd4d2a27c515052e2e">CopyArmComputeClTensorData</a>(output, data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.html#acd77c51cdb162e2b541bc8b474290b7a">m_LayerOutput</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a3a76fc8b348e13d5a6ac1240c96ebef4">GetConstTensor</a><<a class="code" href="namespacearmnn.html#a0b49aa352b84d572942185ce72cef751">Half</a>>());</div> |
| <div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  }</div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordflow">case</span> arm_compute::DataType::F32:</div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  {</div> |
| <div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <a class="code" href="namespacearmnn.html#a80bf40fafb5d10cd4d2a27c515052e2e">CopyArmComputeClTensorData</a>(output, data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.html#acd77c51cdb162e2b541bc8b474290b7a">m_LayerOutput</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a3a76fc8b348e13d5a6ac1240c96ebef4">GetConstTensor</a><<span class="keywordtype">float</span>>());</div> |
| <div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  }</div> |
| <div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordflow">case</span> arm_compute::DataType::QASYMM8:</div> |
| <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  {</div> |
| <div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <a class="code" href="namespacearmnn.html#a80bf40fafb5d10cd4d2a27c515052e2e">CopyArmComputeClTensorData</a>(output, data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.html#acd77c51cdb162e2b541bc8b474290b7a">m_LayerOutput</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a3a76fc8b348e13d5a6ac1240c96ebef4">GetConstTensor</a><uint8_t>());</div> |
| <div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  }</div> |
| <div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">case</span> arm_compute::DataType::QASYMM8_SIGNED:</div> |
| <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  {</div> |
| <div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="namespacearmnn.html#a80bf40fafb5d10cd4d2a27c515052e2e">CopyArmComputeClTensorData</a>(output, data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.html#acd77c51cdb162e2b541bc8b474290b7a">m_LayerOutput</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a3a76fc8b348e13d5a6ac1240c96ebef4">GetConstTensor</a><int8_t>());</div> |
| <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordflow">break</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="keywordflow">case</span> arm_compute::DataType::QSYMM16:</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>  <a class="code" href="namespacearmnn.html#a80bf40fafb5d10cd4d2a27c515052e2e">CopyArmComputeClTensorData</a>(output, data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.html#acd77c51cdb162e2b541bc8b474290b7a">m_LayerOutput</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a3a76fc8b348e13d5a6ac1240c96ebef4">GetConstTensor</a><int16_t>());</div> |
| <div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  }</div> |
| <div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keywordflow">case</span> arm_compute::DataType::QSYMM8:</div> |
| <div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordflow">case</span> arm_compute::DataType::QSYMM8_PER_CHANNEL:</div> |
| <div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  {</div> |
| <div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <a class="code" href="namespacearmnn.html#a80bf40fafb5d10cd4d2a27c515052e2e">CopyArmComputeClTensorData</a>(output, data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.html#acd77c51cdb162e2b541bc8b474290b7a">m_LayerOutput</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a3a76fc8b348e13d5a6ac1240c96ebef4">GetConstTensor</a><int8_t>());</div> |
| <div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  }</div> |
| <div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordflow">case</span> arm_compute::DataType::S32:</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>  <a class="code" href="namespacearmnn.html#a80bf40fafb5d10cd4d2a27c515052e2e">CopyArmComputeClTensorData</a>(output, data.<a class="code" href="structarmnn_1_1_constant_queue_descriptor.html#acd77c51cdb162e2b541bc8b474290b7a">m_LayerOutput</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a3a76fc8b348e13d5a6ac1240c96ebef4">GetConstTensor</a><int32_t>());</div> |
| <div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  }</div> |
| <div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordflow">default</span>:</div> |
| <div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  {</div> |
| <div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<span class="keyword">false</span>, <span class="stringliteral">"Unknown data type"</span>);</div> |
| <div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  }</div> |
| <div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  }</div> |
| <div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  </div> |
| <div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  m_RanOnce = <span class="keyword">true</span>;</div> |
| <div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  }</div> |
| <div class="line"><a name="l00112"></a><span class="lineno"> 112</span> }</div> |
| <div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  </div> |
| <div class="line"><a name="l00114"></a><span class="lineno"> 114</span> } <span class="comment">//namespace armnn</span></div> |
| </div><!-- fragment --></div><!-- contents --> |
| </div><!-- doc-content --> |
| <div class="ttc" id="a_assert_8hpp_html_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.html#l00014">Assert.hpp:14</a></div></div> |
| <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> |
| <div class="ttc" id="anamespacearmnn_html_a0b49aa352b84d572942185ce72cef751"><div class="ttname"><a href="namespacearmnn.html#a0b49aa352b84d572942185ce72cef751">armnn::Half</a></div><div class="ttdeci">half_float::half Half</div><div class="ttdef"><b>Definition:</b> <a href="_half_8hpp_source.html#l00022">Half.hpp:22</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a80bf40fafb5d10cd4d2a27c515052e2e"><div class="ttname"><a href="namespacearmnn.html#a80bf40fafb5d10cd4d2a27c515052e2e">armnn::CopyArmComputeClTensorData</a></div><div class="ttdeci">void CopyArmComputeClTensorData(arm_compute::CLTensor &dstTensor, const T *srcData)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.html#l00064">ClWorkloadUtils.hpp:64</a></div></div> |
| <div class="ttc" id="a_assert_8hpp_html_a91c4dfde57907d7698c7531785690a7f"><div class="ttname"><a href="_assert_8hpp.html#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.html#l00015">Assert.hpp:15</a></div></div> |
| <div class="ttc" id="a_gpu_fsa_tensor_handle_8hpp_html"><div class="ttname"><a href="_gpu_fsa_tensor_handle_8hpp.html">GpuFsaTensorHandle.hpp</a></div></div> |
| <div class="ttc" id="a_gpu_fsa_constant_workload_8hpp_html"><div class="ttname"><a href="_gpu_fsa_constant_workload_8hpp.html">GpuFsaConstantWorkload.hpp</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_constant_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_constant_queue_descriptor.html">armnn::ConstantQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00368">WorkloadData.hpp:368</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_const_tensor_handle_html_a3a76fc8b348e13d5a6ac1240c96ebef4"><div class="ttname"><a href="classarmnn_1_1_const_tensor_handle.html#a3a76fc8b348e13d5a6ac1240c96ebef4">armnn::ConstTensorHandle::GetConstTensor</a></div><div class="ttdeci">const T * GetConstTensor() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.html#l00028">TensorHandle.hpp:28</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_gpu_fsa_constant_workload_html_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_constant_workload.html#ae071e8822437c78baea75c3aef3a263a">armnn::GpuFsaConstantWorkload::Execute</a></div><div class="ttdeci">void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_constant_workload_8cpp_source.html#l00051">GpuFsaConstantWorkload.cpp:51</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about TensorInfos of a layer.</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00048">Types.hpp:48</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_gpu_fsa_base_workload_html"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_base_workload.html">armnn::GpuFsaBaseWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_base_workload_8hpp_source.html#l00014">GpuFsaBaseWorkload.hpp:14</a></div></div> |
| <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> |
| <div class="ttc" id="aclassarmnn_1_1_gpu_fsa_constant_workload_html_a5470c4fa8a6b6a7b8d5650f295db872b"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_constant_workload.html#a5470c4fa8a6b6a7b8d5650f295db872b">armnn::GpuFsaConstantWorkload::GpuFsaConstantWorkload</a></div><div class="ttdeci">GpuFsaConstantWorkload(const ConstantQueueDescriptor &descriptor, const WorkloadInfo &info, const arm_compute::CLCompileContext &clCompileContext)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_constant_workload_8cpp_source.html#l00043">GpuFsaConstantWorkload.cpp:43</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_gpu_fsa_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_tensor_handle.html">armnn::GpuFsaTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_tensor_handle_8hpp_source.html#l00025">GpuFsaTensorHandle.hpp:25</a></div></div> |
| <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> |
| <div class="ttc" id="a_gpu_fsa_workload_utils_8hpp_html"><div class="ttname"><a href="_gpu_fsa_workload_utils_8hpp.html">GpuFsaWorkloadUtils.hpp</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_constant_queue_descriptor_html_acd77c51cdb162e2b541bc8b474290b7a"><div class="ttname"><a href="structarmnn_1_1_constant_queue_descriptor.html#acd77c51cdb162e2b541bc8b474290b7a">armnn::ConstantQueueDescriptor::m_LayerOutput</a></div><div class="ttdeci">const ConstTensorHandle * m_LayerOutput</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00375">WorkloadData.hpp:375</a></div></div> |
| <div class="ttc" id="a_half_8hpp_html"><div class="ttname"><a href="_half_8hpp.html">Half.hpp</a></div></div> |
| <div class="ttc" id="a_tensor_handle_8hpp_html"><div class="ttname"><a href="_tensor_handle_8hpp.html">TensorHandle.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00042">Types.hpp:42</a></div></div> |
| <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< ConstantQueueDescriptor >::m_Data</a></div><div class="ttdeci">ConstantQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00089">Workload.hpp:89</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">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.html#l00006">01_00_quick_start.dox:6</a></div></div> |
| <div class="ttc" id="a_arm_compute_tensor_utils_8hpp_html"><div class="ttname"><a href="_arm_compute_tensor_utils_8hpp.html">ArmComputeTensorUtils.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a5c31c4a0efe105a5f26067c8433968dd"><div class="ttname"><a href="namespacearmnn.html#a5c31c4a0efe105a5f26067c8433968dd">armnn::GpuFsaConstantWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status GpuFsaConstantWorkloadValidate(const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_constant_workload_8cpp_source.html#l00017">GpuFsaConstantWorkload.cpp:17</a></div></div> |
| <!-- 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.html">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.html">backends</a></li><li class="navelem"><a class="el" href="dir_dd5880bc3520e42c5318e86a9fdc97f6.html">gpuFsa</a></li><li class="navelem"><a class="el" href="dir_98e2ef7b561bcb53fb92be16bdf83115.html">workloads</a></li><li class="navelem"><a class="el" href="_gpu_fsa_constant_workload_8cpp.html">GpuFsaConstantWorkload.cpp</a></li> |
| <li class="footer">Generated on Wed Feb 14 2024 16:36:16 for Arm NN by |
| <a href="http://www.doxygen.org/index.html"> |
| <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.17 </li> |
| </ul> |
| </div> |
| </body> |
| </html> |