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author | David Monahan <david.monahan@arm.com> | 2023-03-22 16:48:58 +0000 |
---|---|---|
committer | David Monahan <david.monahan@arm.com> | 2023-03-22 16:48:58 +0000 |
commit | ae050524109f1ce827962665436ef7430f2ac479 (patch) | |
tree | a087fe0c77570971dd7979f2757426c24e91afc7 /23.02/_neon_convert_fp16_to_fp32_workload_8cpp_source.xhtml | |
parent | 8d2ca734165a068478df7cffa46185680b05cd20 (diff) | |
download | armnn-ae050524109f1ce827962665436ef7430f2ac479.tar.gz |
IVGCVSW-7255 Update Doxygen Documentation and publish on GitHub.
* Updating Doxygen documentation for 23.02 release.
Signed-off-by: David Monahan <david.monahan@arm.com>
Change-Id: I545574ff7664b4595d2fe6a91a3c35d2ad55df82
Diffstat (limited to '23.02/_neon_convert_fp16_to_fp32_workload_8cpp_source.xhtml')
-rw-r--r-- | 23.02/_neon_convert_fp16_to_fp32_workload_8cpp_source.xhtml | 151 |
1 files changed, 118 insertions, 33 deletions
diff --git a/23.02/_neon_convert_fp16_to_fp32_workload_8cpp_source.xhtml b/23.02/_neon_convert_fp16_to_fp32_workload_8cpp_source.xhtml index 800573cc35..3d93ba612c 100644 --- a/23.02/_neon_convert_fp16_to_fp32_workload_8cpp_source.xhtml +++ b/23.02/_neon_convert_fp16_to_fp32_workload_8cpp_source.xhtml @@ -8,7 +8,7 @@ <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="generator" content="Doxygen 1.8.17"/> <meta name="robots" content="NOINDEX, NOFOLLOW" /> <meta name="viewport" content="width=device-width, initial-scale=1"/> <title>ArmNN: src/backends/neon/workloads/NeonConvertFp16ToFp32Workload.cpp Source File</title> @@ -19,9 +19,6 @@ <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> @@ -30,7 +27,8 @@ extensions: ["tex2jax.js"], jax: ["input/TeX","output/HTML-CSS"], }); -</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +</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="stylesheet.css" rel="stylesheet" type="text/css"/> </head> @@ -51,18 +49,21 @@ </table> </div> <!-- end header part --> -<!-- Generated by Doxygen 1.8.13 --> +<!-- 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(); }); }); -</script> +/* @license-end */</script> <div id="main-nav"></div> </div><!-- top --> <div id="side-nav" class="ui-resizable side-nav-resizable"> @@ -76,7 +77,9 @@ $(function() { </div> </div> <script type="text/javascript"> -$(document).ready(function(){initNavTree('_neon_convert_fp16_to_fp32_workload_8cpp_source.xhtml','');}); +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +$(document).ready(function(){initNavTree('_neon_convert_fp16_to_fp32_workload_8cpp_source.xhtml',''); initResizable(); }); +/* @license-end */ </script> <div id="doc-content"> <!-- window showing the filter options --> @@ -98,38 +101,120 @@ $(document).ready(function(){initNavTree('_neon_convert_fp16_to_fp32_workload_8c <div class="title">NeonConvertFp16ToFp32Workload.cpp</div> </div> </div><!--header--> <div class="contents"> -<a href="_neon_convert_fp16_to_fp32_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 © 2017 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="_neon_convert_fp16_to_fp32_workload_8hpp.xhtml">NeonConvertFp16ToFp32Workload.hpp</a>"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_floating_point_converter_8hpp.xhtml">armnnUtils/FloatingPointConverter.hpp</a>></span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_half_8hpp.xhtml">Half.hpp</a>></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</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.xhtml">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.xhtml">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_neon_convert_fp16_to_fp32_workload.xhtml#a9f374c3ca4d79ded86921bf82ead0da5"> 17</a></span> <a class="code" href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#a9f374c3ca4d79ded86921bf82ead0da5">NeonConvertFp16ToFp32Workload::NeonConvertFp16ToFp32Workload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convert_fp16_to_fp32_queue_descriptor.xhtml">ConvertFp16ToFp32QueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  : <a class="code" href="classarmnn_1_1_multi_typed_workload.xhtml">Float16ToFloat32Workload</a><<a class="code" href="structarmnn_1_1_convert_fp16_to_fp32_queue_descriptor.xhtml">ConvertFp16ToFp32QueueDescriptor</a>>(descriptor, info)</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>  this-><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">"NeonConvertFp16ToFp32Workload"</span>, 1, 1);</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <a class="code" href="namespacearmnn.xhtml#afb5b53a8b0c01d4f27830bef0f25ca09">GatherTensorHandlePairs</a>(descriptor, m_TensorHandlePairs);</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> </div><div class="line"><a name="l00025"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#ae071e8822437c78baea75c3aef3a263a"> 25</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonConvertFp16ToFp32Workload::Execute</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="keyword"></span>{</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <a class="code" href="_neon_workload_utils_8hpp.xhtml#a9165e41bcaf1b90f9ff91ef681e88c4f">ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID</a>(<span class="stringliteral">"NeonConvertFp16ToFp32Workload_Execute"</span>, this-><a class="code" href="classarmnn_1_1_base_workload.xhtml#aaff95a48875d8fb4a616352906660ca9">GetGuid</a>());</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keyword">auto</span> convertFunc = [](uint8_t* dst, <span class="keyword">const</span> uint8_t* src, <span class="keywordtype">size_t</span> size)</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> input = <span class="keyword">reinterpret_cast<</span><span class="keyword">const </span><a class="code" href="namespacearmnn.xhtml#a0b49aa352b84d572942185ce72cef751">Half</a>*<span class="keyword">></span>(src);</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keyword">auto</span> output = <span class="keyword">reinterpret_cast<</span><span class="keywordtype">float</span>*<span class="keyword">></span>(dst);</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keywordtype">size_t</span> numElements = size/2; <span class="comment">// 2 bytes per fp16</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <a class="code" href="classarmnn_utils_1_1_floating_point_converter.xhtml#ac1f1568f02163a68906a0030e0ba9871">armnnUtils::FloatingPointConverter::ConvertFloat16To32</a>(input, numElements, output);</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> </div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>& pair : m_TensorHandlePairs)</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>  <a class="code" href="namespacearmnn.xhtml#a92c91193007aa49f4732d6dba5397f8d">CopyTensorContentsGeneric</a>(pair.first, pair.second, convertFunc);</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_neon_convert_fp16_to_fp32_workload.xhtml#ab0a67f8179ddb997dda0070a6661f837"> 43</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#ab0a67f8179ddb997dda0070a6661f837">NeonConvertFp16ToFp32Workload::ReplaceInputTensorHandle</a>(<a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* tensorHandle, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slot)</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>  <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* backupHandle = this-><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>[slot];</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  this-><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>[slot] = tensorHandle;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keywordflow">try</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>  Reconfigure();</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>  <span class="keywordflow">catch</span>(<a class="code" href="classarmnn_1_1_unimplemented_exception.xhtml">armnn::UnimplementedException</a>& e)</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>  <span class="comment">// Cannot reconfigure, revert the slot back and throw the exception.</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  this-><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>[slot] = backupHandle;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keywordflow">throw</span> e;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  }</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> }</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">// Replace output tensor handle with the given TensorHandle</span></div><div class="line"><a name="l00060"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#acc08590544f05c641d21c724aedf26dd"> 60</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#acc08590544f05c641d21c724aedf26dd">NeonConvertFp16ToFp32Workload::ReplaceOutputTensorHandle</a>(<a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* tensorHandle, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slot)</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>  <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* backupHandle = this-><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>[slot];</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  this-><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>[slot] = tensorHandle;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordflow">try</span></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>  Reconfigure();</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  }</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">catch</span>(<a class="code" href="classarmnn_1_1_unimplemented_exception.xhtml">armnn::UnimplementedException</a>& e)</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">// Cannot reconfigure, revert the slot back and throw the exception.</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  this-><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>[slot] = backupHandle;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordflow">throw</span> e;</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> }</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="keywordtype">void</span> NeonConvertFp16ToFp32Workload::Reconfigure()</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>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_unimplemented_exception.xhtml">armnn::UnimplementedException</a>(<span class="stringliteral">"Reconfigure not implemented for this workload"</span>);</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">//namespace armnn</span></div><div class="ttc" id="_floating_point_converter_8hpp_xhtml"><div class="ttname"><a href="_floating_point_converter_8hpp.xhtml">FloatingPointConverter.hpp</a></div></div> -<div class="ttc" id="classarmnn_1_1_neon_convert_fp16_to_fp32_workload_xhtml_acc08590544f05c641d21c724aedf26dd"><div class="ttname"><a href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#acc08590544f05c641d21c724aedf26dd">armnn::NeonConvertFp16ToFp32Workload::ReplaceOutputTensorHandle</a></div><div class="ttdeci">void ReplaceOutputTensorHandle(ITensorHandle *tensorHandle, unsigned int slot) override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_convert_fp16_to_fp32_workload_8cpp_source.xhtml#l00060">NeonConvertFp16ToFp32Workload.cpp:60</a></div></div> -<div class="ttc" id="classarmnn_1_1_neon_convert_fp16_to_fp32_workload_xhtml_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">armnn::NeonConvertFp16ToFp32Workload::Execute</a></div><div class="ttdeci">virtual void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_convert_fp16_to_fp32_workload_8cpp_source.xhtml#l00025">NeonConvertFp16ToFp32Workload.cpp:25</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::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="classarmnn_1_1_unimplemented_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_unimplemented_exception.xhtml">armnn::UnimplementedException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00098">Exceptions.hpp:98</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="classarmnn_1_1_neon_convert_fp16_to_fp32_workload_xhtml_ab0a67f8179ddb997dda0070a6661f837"><div class="ttname"><a href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#ab0a67f8179ddb997dda0070a6661f837">armnn::NeonConvertFp16ToFp32Workload::ReplaceInputTensorHandle</a></div><div class="ttdeci">void ReplaceInputTensorHandle(ITensorHandle *tensorHandle, unsigned int slot) override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_convert_fp16_to_fp32_workload_8cpp_source.xhtml#l00043">NeonConvertFp16ToFp32Workload.cpp:43</a></div></div> -<div class="ttc" id="classarmnn_1_1_multi_typed_workload_xhtml"><div class="ttname"><a href="classarmnn_1_1_multi_typed_workload.xhtml">armnn::MultiTypedWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.xhtml#l00147">Workload.hpp:147</a></div></div> -<div class="ttc" id="classarmnn_1_1_i_tensor_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml">armnn::ITensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_8hpp_source.xhtml#l00015">ITensorHandle.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::m_Data</a></div><div class="ttdeci">QueueDescriptor 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_a0b49aa352b84d572942185ce72cef751"><div class="ttname"><a href="namespacearmnn.xhtml#a0b49aa352b84d572942185ce72cef751">armnn::Half</a></div><div class="ttdeci">half_float::half Half</div><div class="ttdef"><b>Definition:</b> <a href="_half_8hpp_source.xhtml#l00022">Half.hpp:22</a></div></div> -<div class="ttc" id="structarmnn_1_1_convert_fp16_to_fp32_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_convert_fp16_to_fp32_queue_descriptor.xhtml">armnn::ConvertFp16ToFp32QueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00447">WorkloadData.hpp:447</a></div></div> -<div class="ttc" id="classarmnn_utils_1_1_floating_point_converter_xhtml_ac1f1568f02163a68906a0030e0ba9871"><div class="ttname"><a href="classarmnn_utils_1_1_floating_point_converter.xhtml#ac1f1568f02163a68906a0030e0ba9871">armnnUtils::FloatingPointConverter::ConvertFloat16To32</a></div><div class="ttdeci">static void ConvertFloat16To32(const void *srcFloat16Buffer, size_t numElements, float *dstFloat32Buffer)</div><div class="ttdef"><b>Definition:</b> <a href="_floating_point_converter_8cpp_source.xhtml#l00031">FloatingPointConverter.cpp:31</a></div></div> -<div class="ttc" id="_half_8hpp_xhtml"><div class="ttname"><a href="_half_8hpp.xhtml">Half.hpp</a></div></div> -<div class="ttc" id="classarmnn_1_1_neon_convert_fp16_to_fp32_workload_xhtml_a9f374c3ca4d79ded86921bf82ead0da5"><div class="ttname"><a href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#a9f374c3ca4d79ded86921bf82ead0da5">armnn::NeonConvertFp16ToFp32Workload::NeonConvertFp16ToFp32Workload</a></div><div class="ttdeci">NeonConvertFp16ToFp32Workload(const ConvertFp16ToFp32QueueDescriptor &descriptor, const WorkloadInfo &info)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_convert_fp16_to_fp32_workload_8cpp_source.xhtml#l00017">NeonConvertFp16ToFp32Workload.cpp:17</a></div></div> -<div class="ttc" id="_neon_convert_fp16_to_fp32_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_convert_fp16_to_fp32_workload_8hpp.xhtml">NeonConvertFp16ToFp32Workload.hpp</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="namespacearmnn_xhtml_a92c91193007aa49f4732d6dba5397f8d"><div class="ttname"><a href="namespacearmnn.xhtml#a92c91193007aa49f4732d6dba5397f8d">armnn::CopyTensorContentsGeneric</a></div><div class="ttdeci">void CopyTensorContentsGeneric(const ITensorHandle *srcTensor, ITensorHandle *dstTensor, CopyFunc copy)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_utils_8hpp_source.xhtml#l00046">WorkloadUtils.hpp:46</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_afb5b53a8b0c01d4f27830bef0f25ca09"><div class="ttname"><a href="namespacearmnn.xhtml#afb5b53a8b0c01d4f27830bef0f25ca09">armnn::GatherTensorHandlePairs</a></div><div class="ttdeci">void GatherTensorHandlePairs(const DescriptorType &descriptor, std::vector< std::pair< SrcTensorHandleType *, DstTensorHandleType *>> &tensorHandlePairs)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_utils_8hpp_source.xhtml#l00189">WorkloadUtils.hpp:189</a></div></div> -<div class="ttc" id="_neon_workload_utils_8hpp_xhtml_a9165e41bcaf1b90f9ff91ef681e88c4f"><div class="ttname"><a href="_neon_workload_utils_8hpp.xhtml#a9165e41bcaf1b90f9ff91ef681e88c4f">ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID(name, guid)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_workload_utils_8hpp_source.xhtml#l00024">NeonWorkloadUtils.hpp:24</a></div></div> -<div class="ttc" id="_workload_utils_8hpp_xhtml"><div class="ttname"><a href="_workload_utils_8hpp.xhtml">WorkloadUtils.hpp</a></div></div> +<a href="_neon_convert_fp16_to_fp32_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 © 2017 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="_neon_convert_fp16_to_fp32_workload_8hpp.xhtml">NeonConvertFp16ToFp32Workload.hpp</a>"</span></div> +<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>  </div> +<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_floating_point_converter_8hpp.xhtml">armnnUtils/FloatingPointConverter.hpp</a>></span></div> +<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>  </div> +<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_half_8hpp.xhtml">Half.hpp</a>></span></div> +<div class="line"><a name="l00011"></a><span class="lineno"> 11</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.xhtml">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.xhtml">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_neon_convert_fp16_to_fp32_workload.xhtml#a9f374c3ca4d79ded86921bf82ead0da5"> 17</a></span> <a class="code" href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#a9f374c3ca4d79ded86921bf82ead0da5">NeonConvertFp16ToFp32Workload::NeonConvertFp16ToFp32Workload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convert_fp16_to_fp32_queue_descriptor.xhtml">ConvertFp16ToFp32QueueDescriptor</a>& descriptor,</div> +<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)</div> +<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  : <a class="code" href="classarmnn_1_1_multi_typed_workload.xhtml">Float16ToFloat32Workload</a><<a class="code" href="structarmnn_1_1_convert_fp16_to_fp32_queue_descriptor.xhtml">ConvertFp16ToFp32QueueDescriptor</a>>(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</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>  this-><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">"NeonConvertFp16ToFp32Workload"</span>, 1, 1);</div> +<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <a class="code" href="namespacearmnn.xhtml#a844d7fa4dde82e1c6b0606e1c68890bb">GatherTensorHandlePairs</a>(descriptor, m_TensorHandlePairs);</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>  </div> +<div class="line"><a name="l00025"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#ae071e8822437c78baea75c3aef3a263a"> 25</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonConvertFp16ToFp32Workload::Execute</a>()<span class="keyword"> const</span></div> +<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <a class="code" href="_neon_workload_utils_8hpp.xhtml#a9165e41bcaf1b90f9ff91ef681e88c4f">ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID</a>(<span class="stringliteral">"NeonConvertFp16ToFp32Workload_Execute"</span>, this-><a class="code" href="classarmnn_1_1_base_workload.xhtml#aaff95a48875d8fb4a616352906660ca9">GetGuid</a>());</div> +<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  </div> +<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keyword">auto</span> convertFunc = [](uint8_t* dst, <span class="keyword">const</span> uint8_t* src, <span class="keywordtype">size_t</span> size)</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> input = <span class="keyword">reinterpret_cast<</span><span class="keyword">const </span><a class="code" href="namespacearmnn.xhtml#a0b49aa352b84d572942185ce72cef751">Half</a>*<span class="keyword">></span>(src);</div> +<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keyword">auto</span> output = <span class="keyword">reinterpret_cast<</span><span class="keywordtype">float</span>*<span class="keyword">></span>(dst);</div> +<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keywordtype">size_t</span> numElements = size/2; <span class="comment">// 2 bytes per fp16</span></div> +<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <a class="code" href="classarmnn_utils_1_1_floating_point_converter.xhtml#ac1f1568f02163a68906a0030e0ba9871">armnnUtils::FloatingPointConverter::ConvertFloat16To32</a>(input, numElements, output);</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>  </div> +<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>& pair : m_TensorHandlePairs)</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>  <a class="code" href="namespacearmnn.xhtml#a92c91193007aa49f4732d6dba5397f8d">CopyTensorContentsGeneric</a>(pair.first, pair.second, convertFunc);</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_neon_convert_fp16_to_fp32_workload.xhtml#ab0a67f8179ddb997dda0070a6661f837"> 43</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#ab0a67f8179ddb997dda0070a6661f837">NeonConvertFp16ToFp32Workload::ReplaceInputTensorHandle</a>(<a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* tensorHandle, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slot)</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>  <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* backupHandle = this-><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>[slot];</div> +<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  this-><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>[slot] = tensorHandle;</div> +<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keywordflow">try</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>  Reconfigure();</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>  <span class="keywordflow">catch</span>(<a class="code" href="classarmnn_1_1_unimplemented_exception.xhtml">armnn::UnimplementedException</a>& e)</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>  <span class="comment">// Cannot reconfigure, revert the slot back and throw the exception.</span></div> +<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  this-><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>[slot] = backupHandle;</div> +<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keywordflow">throw</span> e;</div> +<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  }</div> +<div class="line"><a name="l00057"></a><span class="lineno"> 57</span> }</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">// Replace output tensor handle with the given TensorHandle</span></div> +<div class="line"><a name="l00060"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#acc08590544f05c641d21c724aedf26dd"> 60</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#acc08590544f05c641d21c724aedf26dd">NeonConvertFp16ToFp32Workload::ReplaceOutputTensorHandle</a>(<a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* tensorHandle, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slot)</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>  <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* backupHandle = this-><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>[slot];</div> +<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  this-><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>[slot] = tensorHandle;</div> +<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordflow">try</span></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>  Reconfigure();</div> +<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  }</div> +<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">catch</span>(<a class="code" href="classarmnn_1_1_unimplemented_exception.xhtml">armnn::UnimplementedException</a>& e)</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">// Cannot reconfigure, revert the slot back and throw the exception.</span></div> +<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  this-><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>[slot] = backupHandle;</div> +<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordflow">throw</span> e;</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> }</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="keywordtype">void</span> NeonConvertFp16ToFp32Workload::Reconfigure()</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>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_unimplemented_exception.xhtml">armnn::UnimplementedException</a>(<span class="stringliteral">"Reconfigure not implemented for this workload"</span>);</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">//namespace armnn</span></div> </div><!-- fragment --></div><!-- contents --> </div><!-- doc-content --> +<div class="ttc" id="aclassarmnn_1_1_base_workload_xhtml_aaff95a48875d8fb4a616352906660ca9"><div class="ttname"><a href="classarmnn_1_1_base_workload.xhtml#aaff95a48875d8fb4a616352906660ca9">armnn::BaseWorkload::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="astructarmnn_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="a_neon_convert_fp16_to_fp32_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_convert_fp16_to_fp32_workload_8hpp.xhtml">NeonConvertFp16ToFp32Workload.hpp</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_base_workload_xhtml_afb8d2c8817c75de9d01a4c0e0d5c160b"><div class="ttname"><a href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">armnn::BaseWorkload::m_Data</a></div><div class="ttdeci">QueueDescriptor 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="anamespacearmnn_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="anamespacearmnn_xhtml_a844d7fa4dde82e1c6b0606e1c68890bb"><div class="ttname"><a href="namespacearmnn.xhtml#a844d7fa4dde82e1c6b0606e1c68890bb">armnn::GatherTensorHandlePairs</a></div><div class="ttdeci">void GatherTensorHandlePairs(const DescriptorType &descriptor, std::vector< std::pair< SrcTensorHandleType *, DstTensorHandleType * >> &tensorHandlePairs)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_utils_8hpp_source.xhtml#l00189">WorkloadUtils.hpp:189</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml">armnn::ITensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_8hpp_source.xhtml#l00015">ITensorHandle.hpp:15</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_unimplemented_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_unimplemented_exception.xhtml">armnn::UnimplementedException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00098">Exceptions.hpp:98</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a0b49aa352b84d572942185ce72cef751"><div class="ttname"><a href="namespacearmnn.xhtml#a0b49aa352b84d572942185ce72cef751">armnn::Half</a></div><div class="ttdeci">half_float::half Half</div><div class="ttdef"><b>Definition:</b> <a href="_half_8hpp_source.xhtml#l00022">Half.hpp:22</a></div></div> +<div class="ttc" id="a_neon_workload_utils_8hpp_xhtml_a9165e41bcaf1b90f9ff91ef681e88c4f"><div class="ttname"><a href="_neon_workload_utils_8hpp.xhtml#a9165e41bcaf1b90f9ff91ef681e88c4f">ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID(name, guid)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_workload_utils_8hpp_source.xhtml#l00024">NeonWorkloadUtils.hpp:24</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_neon_convert_fp16_to_fp32_workload_xhtml_acc08590544f05c641d21c724aedf26dd"><div class="ttname"><a href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#acc08590544f05c641d21c724aedf26dd">armnn::NeonConvertFp16ToFp32Workload::ReplaceOutputTensorHandle</a></div><div class="ttdeci">void ReplaceOutputTensorHandle(ITensorHandle *tensorHandle, unsigned int slot) override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_convert_fp16_to_fp32_workload_8cpp_source.xhtml#l00060">NeonConvertFp16ToFp32Workload.cpp:60</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_neon_convert_fp16_to_fp32_workload_xhtml_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">armnn::NeonConvertFp16ToFp32Workload::Execute</a></div><div class="ttdeci">virtual void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_convert_fp16_to_fp32_workload_8cpp_source.xhtml#l00025">NeonConvertFp16ToFp32Workload.cpp:25</a></div></div> +<div class="ttc" id="astructarmnn_1_1_convert_fp16_to_fp32_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_convert_fp16_to_fp32_queue_descriptor.xhtml">armnn::ConvertFp16ToFp32QueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00447">WorkloadData.hpp:447</a></div></div> +<div class="ttc" id="a_half_8hpp_xhtml"><div class="ttname"><a href="_half_8hpp.xhtml">Half.hpp</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_neon_convert_fp16_to_fp32_workload_xhtml_a9f374c3ca4d79ded86921bf82ead0da5"><div class="ttname"><a href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#a9f374c3ca4d79ded86921bf82ead0da5">armnn::NeonConvertFp16ToFp32Workload::NeonConvertFp16ToFp32Workload</a></div><div class="ttdeci">NeonConvertFp16ToFp32Workload(const ConvertFp16ToFp32QueueDescriptor &descriptor, const WorkloadInfo &info)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_convert_fp16_to_fp32_workload_8cpp_source.xhtml#l00017">NeonConvertFp16ToFp32Workload.cpp:17</a></div></div> +<div class="ttc" id="astructarmnn_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="a_floating_point_converter_8hpp_xhtml"><div class="ttname"><a href="_floating_point_converter_8hpp.xhtml">FloatingPointConverter.hpp</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_neon_convert_fp16_to_fp32_workload_xhtml_ab0a67f8179ddb997dda0070a6661f837"><div class="ttname"><a href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#ab0a67f8179ddb997dda0070a6661f837">armnn::NeonConvertFp16ToFp32Workload::ReplaceInputTensorHandle</a></div><div class="ttdeci">void ReplaceInputTensorHandle(ITensorHandle *tensorHandle, unsigned int slot) override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_convert_fp16_to_fp32_workload_8cpp_source.xhtml#l00043">NeonConvertFp16ToFp32Workload.cpp:43</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_multi_typed_workload_xhtml"><div class="ttname"><a href="classarmnn_1_1_multi_typed_workload.xhtml">armnn::MultiTypedWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.xhtml#l00147">Workload.hpp:147</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a92c91193007aa49f4732d6dba5397f8d"><div class="ttname"><a href="namespacearmnn.xhtml#a92c91193007aa49f4732d6dba5397f8d">armnn::CopyTensorContentsGeneric</a></div><div class="ttdeci">void CopyTensorContentsGeneric(const ITensorHandle *srcTensor, ITensorHandle *dstTensor, CopyFunc copy)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_utils_8hpp_source.xhtml#l00046">WorkloadUtils.hpp:46</a></div></div> +<div class="ttc" id="a_workload_utils_8hpp_xhtml"><div class="ttname"><a href="_workload_utils_8hpp.xhtml">WorkloadUtils.hpp</a></div></div> +<div class="ttc" id="aclassarmnn_utils_1_1_floating_point_converter_xhtml_ac1f1568f02163a68906a0030e0ba9871"><div class="ttname"><a href="classarmnn_utils_1_1_floating_point_converter.xhtml#ac1f1568f02163a68906a0030e0ba9871">armnnUtils::FloatingPointConverter::ConvertFloat16To32</a></div><div class="ttdeci">static void ConvertFloat16To32(const void *srcFloat16Buffer, size_t numElements, float *dstFloat32Buffer)</div><div class="ttdef"><b>Definition:</b> <a href="_floating_point_converter_8cpp_source.xhtml#l00031">FloatingPointConverter.cpp:31</a></div></div> +<div class="ttc" 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