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| author | Nikhil Raj <nikhil.raj@arm.com> | 2024-02-15 15:02:19 +0000 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2024-02-15 15:02:19 +0000 |
| commit | 38b600d8abb2c5f7a44511b5deddf441f975d51d (patch) | |
| tree | 32a082a9e39f3af53d8678a5c18dee67a7f572ec /latest/_activation_operator_8hpp.html | |
| parent | 6f92c8e9f8bb38dcf5dccf8deeff5112ecd8e37c (diff) | |
| download | armnn-38b600d8abb2c5f7a44511b5deddf441f975d51d.tar.gz | |
IVGCVSW-7968 Update Doxygen docu for 24.02
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I8c1e45815c6cf78f80d6f2c0959a5bbba6cd11de
Diffstat (limited to 'latest/_activation_operator_8hpp.html')
| -rw-r--r-- | latest/_activation_operator_8hpp.html | 461 |
1 files changed, 461 insertions, 0 deletions
diff --git a/latest/_activation_operator_8hpp.html b/latest/_activation_operator_8hpp.html new file mode 100644 index 0000000000..cb53c470c1 --- /dev/null +++ b/latest/_activation_operator_8hpp.html @@ -0,0 +1,461 @@ +<!-- 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/tosaCommon/operatorMappings/ActivationOperator.hpp File Reference</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" 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<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 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name="MSearchResults" id="MSearchResults"> +</iframe> +</div> + +<div class="header"> + <div class="summary"> +<a href="#func-members">Functions</a> </div> + <div class="headertitle"> +<div class="title">ActivationOperator.hpp File Reference</div> </div> +</div><!--header--> +<div class="contents"> +<div class="textblock"><code>#include <<a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>></code><br /> +<code>#include <tosa_serialization_handler.h></code><br /> +<code>#include "<a class="el" href="_tosa_operator_utils_8hpp_source.html">TosaOperatorUtils.hpp</a>"</code><br /> +</div><div class="textblock"><div class="dynheader"> +Include dependency graph for ActivationOperator.hpp:</div> +<div class="dyncontent"> +<div class="center"><iframe scrolling="no" frameborder="0" src="_activation_operator_8hpp__incl.svg" width="4739" height="887"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe> +</div> +</div> +</div><div class="textblock"><div class="dynheader"> +This graph shows which files directly or indirectly include this file:</div> +<div class="dyncontent"> +<div class="center"><iframe scrolling="no" frameborder="0" src="_activation_operator_8hpp__dep__incl.svg" width="698" height="350"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe> +</div> +</div> +</div> +<p><a href="_activation_operator_8hpp_source.html">Go to the source code of this file.</a></p> +<table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a> +Functions</h2></td></tr> +<tr class="memitem:a724fcc658cf1c24a6e068c01adcd3a97"><td class="memItemLeft" align="right" valign="top">TosaSerializationBasicBlock * </td><td class="memItemRight" valign="bottom"><a class="el" href="_activation_operator_8hpp.html#a724fcc658cf1c24a6e068c01adcd3a97">ConvertActivationToTosaOperator</a> (const <a class="el" href="classarmnn_1_1_layer.html">Layer</a> *layer, const std::vector< const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> * > &inputs, const std::vector< const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> * > &outputs, const <a class="el" href="structarmnn_1_1_activation_descriptor.html">ActivationDescriptor</a> *activationDescriptor)</td></tr> +<tr class="separator:a724fcc658cf1c24a6e068c01adcd3a97"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<h2 class="groupheader">Function Documentation</h2> +<a id="a724fcc658cf1c24a6e068c01adcd3a97"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a724fcc658cf1c24a6e068c01adcd3a97">◆ </a></span>ConvertActivationToTosaOperator()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">TosaSerializationBasicBlock* ConvertActivationToTosaOperator </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_layer.html">Layer</a> * </td> + <td class="paramname"><em>layer</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> * > & </td> + <td class="paramname"><em>inputs</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> * > & </td> + <td class="paramname"><em>outputs</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_activation_descriptor.html">ActivationDescriptor</a> * </td> + <td class="paramname"><em>activationDescriptor</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_activation_operator_8cpp_source.html#l00017">17</a> of file <a class="el" href="_activation_operator_8cpp_source.html">ActivationOperator.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> {</div> +<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="keywordflow">if</span> (inputs.size() != 1)</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>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">"ConvertActivationToTosaOperator: 1 input tensors required."</span>);</div> +<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  }</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="keywordflow">if</span> (outputs.size() != 1)</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="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">"ConvertActivationToTosaOperator: 1 output tensor required."</span>);</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>  </div> +<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  std::string inputName = std::string(<span class="stringliteral">"input0_"</span>);</div> +<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  std::string outputNameAlpha = std::string(<span class="stringliteral">"intermediate1_"</span>) + <a class="code" href="_tosa_operator_utils_8hpp.html#aadc5d73bd0cb81999bcfdc62bce020e8">GetUniqueTosaMappingID</a>();</div> +<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  std::string outputNameMul = std::string(<span class="stringliteral">"intermediate2_"</span>) + <a class="code" href="_tosa_operator_utils_8hpp.html#aadc5d73bd0cb81999bcfdc62bce020e8">GetUniqueTosaMappingID</a>();</div> +<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  std::string outputName = std::string(<span class="stringliteral">"output0_"</span>);</div> +<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  std::string blockName = std::string(<span class="stringliteral">"Op_ACTIVATION_block_"</span>) + <a class="code" href="_tosa_operator_utils_8hpp.html#aadc5d73bd0cb81999bcfdc62bce020e8">GetUniqueTosaMappingID</a>();</div> +<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  </div> +<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="comment">// If a layer is present then the block will be used for execution, so input and output names need to be determined</span></div> +<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="comment">// using the previous and following layers so the graph is connected correctly. For validation this doesn't matter.</span></div> +<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordflow">if</span> (layer != <span class="keyword">nullptr</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>  <span class="comment">// Get the layers connected to the input slots and determine unique tensors names.</span></div> +<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& connectedInputLayer = layer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>();</div> +<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  inputName = <a class="code" href="_tosa_operator_utils_8hpp.html#a1640c964a461e8580837a79829a5c197">GenerateUniqueName</a>(connectedInputLayer, 0);</div> +<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  </div> +<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="comment">// Determine unique output tensor name.</span></div> +<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  outputName = <a class="code" href="_tosa_operator_utils_8hpp.html#a246662c69dac647833be50ba6dcee024">GenerateUniqueOutputName</a>(*layer, 0);</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>  std::vector<TosaSerializationTensor*> tensors;</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>  <span class="comment">// Only add input tensors if connected layer is an input layer.</span></div> +<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="comment">// As intermediate or constant tensors will be created separately.</span></div> +<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="comment">// There also can't be duplicate tensor.</span></div> +<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  std::vector<int32_t> inputShape0;</div> +<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  DType inputDType0 = DType::DType_UNKNOWN;</div> +<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordflow">if</span>(inputName.find(<span class="stringliteral">"input0_"</span>) != std::string::npos)</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>  inputShape0 = <a class="code" href="_tosa_operator_utils_8hpp.html#a7d97964a65be4eb4a5b4109904f2e7f7">GetTosaTensorShape</a>(inputs[0]->GetShape());</div> +<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  inputDType0 = <a class="code" href="_tosa_operator_utils_8hpp.html#a45d66f17ad6b0469e469f443b3e03226">ArmNNToDType</a>(inputs[0]->GetDataType());</div> +<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  tensors.push_back(<span class="keyword">new</span> TosaSerializationTensor(inputName, inputShape0, inputDType0, {}));</div> +<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  }</div> +<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  </div> +<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  std::vector<int32_t> outputShape0 = <a class="code" href="_tosa_operator_utils_8hpp.html#a7d97964a65be4eb4a5b4109904f2e7f7">GetTosaTensorShape</a>(outputs[0]->GetShape());</div> +<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  DType outputDType0 = <a class="code" href="_tosa_operator_utils_8hpp.html#a45d66f17ad6b0469e469f443b3e03226">ArmNNToDType</a>(outputs[0]->GetDataType());</div> +<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  tensors.push_back(<span class="keyword">new</span> TosaSerializationTensor(outputName, outputShape0, outputDType0, {}));</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="preprocessor">#if TOSA_COMPAT_VERSION(0, 60, 0)</span></div> +<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  std::string outputNameMAXMIN= std::string(<span class="stringliteral">"intermediate3_"</span>) + <a class="code" href="_tosa_operator_utils_8hpp.html#aadc5d73bd0cb81999bcfdc62bce020e8">GetUniqueTosaMappingID</a>();</div> +<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  </div> +<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">if</span> (inputDType0 == DType::DType_FP32)</div> +<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  {</div> +<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="comment">// const_alpha</span></div> +<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  TosaSerializationOperator* alphaOp = <span class="keyword">nullptr</span>;</div> +<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  TosaSerializationTensor* alphaTensor = <span class="keyword">nullptr</span>;</div> +<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  CreateConstTosaOperator<float>(outputNameAlpha,</div> +<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  activationDescriptor-><a class="code" href="structarmnn_1_1_activation_descriptor.html#a017b2990003a014234f13e999dc7c689">m_A</a>,</div> +<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  inputDType0,</div> +<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  inputShape0,</div> +<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  alphaOp,</div> +<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  alphaTensor);</div> +<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  tensors.push_back(alphaTensor);</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>  <span class="comment">// mul</span></div> +<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  int32_t shift = 0;</div> +<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  TosaMulAttribute mulAttribute(shift);</div> +<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  TosaSerializationOperator* mulOp = <span class="keyword">new</span> TosaSerializationOperator(Op_MUL,</div> +<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  Attribute_MulAttribute,</div> +<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  &mulAttribute,</div> +<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  {inputName, outputNameAlpha},</div> +<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  {outputNameMul});</div> +<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  tensors.push_back(<span class="keyword">new</span> TosaSerializationTensor(outputNameMul, inputShape0, inputDType0, {}));</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>  TosaSerializationOperator* op = <span class="keyword">nullptr</span>;</div> +<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordflow">if</span> (activationDescriptor-><a class="code" href="structarmnn_1_1_activation_descriptor.html#a017b2990003a014234f13e999dc7c689">m_A</a> <= 1.0)</div> +<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  {</div> +<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  op = <span class="keyword">new</span> TosaSerializationOperator(Op_MAXIMUM,</div> +<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  Attribute_NONE,</div> +<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keyword">nullptr</span>,</div> +<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  {inputName, outputNameMul},</div> +<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  {outputName});</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">else</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>  op = <span class="keyword">new</span> TosaSerializationOperator(Op_MINIMUM,</div> +<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  Attribute_NONE,</div> +<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keyword">nullptr</span>,</div> +<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  {inputName, outputNameMul},</div> +<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  {outputName});</div> +<div class="line"><a name="l00110"></a><span class="lineno"> 110</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>  <span class="comment">// operatorInputNames/operatorOutputNames ends up being the same as</span></div> +<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="comment">// blockInputNames/blockOutputNames for one-to-one ArmNN to Tosa mappings</span></div> +<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordflow">return</span> <span class="keyword">new</span> TosaSerializationBasicBlock(blockName, <span class="comment">// name</span></div> +<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <a class="code" href="_tosa_operator_utils_8hpp.html#a28514b014a4fe0841044f1868064bc65">mainName</a>, <span class="comment">// region name</span></div> +<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  {alphaOp, mulOp, op}, <span class="comment">// operators</span></div> +<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  tensors, <span class="comment">// tensors</span></div> +<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  {inputName}, <span class="comment">// inputs</span></div> +<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  {outputName}); <span class="comment">// outputs</span></div> +<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  }</div> +<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  {</div> +<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  std::string outputNameRescaleAlpha = std::string(<span class="stringliteral">"intermediate3_"</span>) + <a class="code" href="_tosa_operator_utils_8hpp.html#aadc5d73bd0cb81999bcfdc62bce020e8">GetUniqueTosaMappingID</a>();</div> +<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  std::string outputNameRescaleIdentity = std::string(<span class="stringliteral">"intermediate4_"</span>) + <a class="code" href="_tosa_operator_utils_8hpp.html#aadc5d73bd0cb81999bcfdc62bce020e8">GetUniqueTosaMappingID</a>();</div> +<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  std::string outputNameRescaleMaxMin = std::string(<span class="stringliteral">"intermediate5_"</span>) + <a class="code" href="_tosa_operator_utils_8hpp.html#aadc5d73bd0cb81999bcfdc62bce020e8">GetUniqueTosaMappingID</a>();</div> +<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  </div> +<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  DType rescale_type = DType::DType_INT32;</div> +<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordtype">float</span> alpha = activationDescriptor-><a class="code" href="structarmnn_1_1_activation_descriptor.html#a017b2990003a014234f13e999dc7c689">m_A</a>;</div> +<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordtype">double</span> scale_alpha = inputs[0]->GetQuantizationScale() * alpha / outputs[0]->GetQuantizationScale();</div> +<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keywordtype">double</span> scale_identity = inputs[0]->GetQuantizationScale() / outputs[0]->GetQuantizationScale();</div> +<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  int32_t input_zp = inputs[0]->GetQuantizationOffset();</div> +<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  int32_t output_zp = outputs[0]->GetQuantizationOffset();</div> +<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  </div> +<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="comment">// Value op_rescale_alpha_in =</span></div> +<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="comment">// buildRescale(rewriter, op, rescale_type, input, scale_alpha,</span></div> +<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="comment">// input_qtype.getZeroPoint(), 0, true, true);</span></div> +<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  TosaSerializationOperator* rescaleAlphaOp = <span class="keyword">nullptr</span>;</div> +<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  TosaSerializationTensor* rescaleAlphaTensor = <span class="keyword">nullptr</span>;</div> +<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <a class="code" href="_tosa_rescale_operator_utils_8hpp.html#a4abc0e36fdf181445157310836d44741">CreateRescaleTosaOperator</a>(inputName,</div> +<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  outputNameRescaleAlpha,</div> +<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  rescale_type,</div> +<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  inputShape0,</div> +<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  scale_alpha,</div> +<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  input_zp,</div> +<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  0,</div> +<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keyword">true</span>,</div> +<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keyword">true</span>,</div> +<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  &rescaleAlphaOp,</div> +<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  &rescaleAlphaTensor);</div> +<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  tensors.push_back(rescaleAlphaTensor);</div> +<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  </div> +<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="comment">// Value op_rescale_identity_in =</span></div> +<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="comment">// buildRescale(rewriter, op, rescale_type, input, scale_identity,</span></div> +<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="comment">// input_qtype.getZeroPoint(), 0, true, true);</span></div> +<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  TosaSerializationOperator* rescaleIdentityOp = <span class="keyword">nullptr</span>;</div> +<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  TosaSerializationTensor* rescaleIdentityTensor = <span class="keyword">nullptr</span>;</div> +<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <a class="code" href="_tosa_rescale_operator_utils_8hpp.html#a4abc0e36fdf181445157310836d44741">CreateRescaleTosaOperator</a>(inputName,</div> +<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  outputNameRescaleIdentity,</div> +<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  rescale_type,</div> +<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  inputShape0,</div> +<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  scale_identity,</div> +<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  input_zp,</div> +<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  0,</div> +<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keyword">true</span>,</div> +<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keyword">true</span>,</div> +<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  &rescaleIdentityOp,</div> +<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  &rescaleIdentityTensor);</div> +<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  tensors.push_back(rescaleIdentityTensor);</div> +<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  </div> +<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="comment">// Value result_int32;</span></div> +<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="comment">// if (alpha <= 1.0) {</span></div> +<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="comment">// auto max_op = CreateOpAndInfer<tosa::MaximumOp>(</span></div> +<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="comment">// rewriter, op->getLoc(), rescale_type, op_rescale_identity_in,</span></div> +<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="comment">// op_rescale_alpha_in);</span></div> +<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="comment">// result_int32 = max_op.getResult();</span></div> +<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="comment">// } else {</span></div> +<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="comment">// auto min_op = CreateOpAndInfer<tosa::MinimumOp>(</span></div> +<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="comment">// rewriter, op->getLoc(), rescale_type, op_rescale_identity_in,</span></div> +<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="comment">// op_rescale_alpha_in);</span></div> +<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="comment">// result_int32 = min_op.getResult();</span></div> +<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="comment">// }</span></div> +<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  TosaSerializationOperator* op = <span class="keyword">nullptr</span>;</div> +<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keywordflow">if</span> (alpha <= 1.0)</div> +<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  {</div> +<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  op = <span class="keyword">new</span> TosaSerializationOperator(Op_MAXIMUM,</div> +<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  Attribute_NONE,</div> +<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keyword">nullptr</span>,</div> +<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  {outputNameRescaleAlpha, outputNameRescaleIdentity},</div> +<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  {outputNameRescaleMaxMin});</div> +<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  }</div> +<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  {</div> +<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  op = <span class="keyword">new</span> TosaSerializationOperator(Op_MINIMUM,</div> +<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  Attribute_NONE,</div> +<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keyword">nullptr</span>,</div> +<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  {outputNameRescaleAlpha, outputNameRescaleIdentity},</div> +<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  {outputNameRescaleMaxMin});</div> +<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  </div> +<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  }</div> +<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  tensors.push_back(<span class="keyword">new</span> TosaSerializationTensor(outputNameRescaleMaxMin, inputShape0, rescale_type, {}));</div> +<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  </div> +<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="comment">// Value output = buildRescaleFromInt32(rewriter, op, output_type, result_int32,</span></div> +<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="comment">// 1.0, output_qtype.getZeroPoint());</span></div> +<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  TosaSerializationOperator* rescaleOutputOp = <span class="keyword">nullptr</span>;</div> +<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <a class="code" href="_tosa_rescale_operator_utils_8hpp.html#af9d444ffce906683d38bff5c1f1e45f2">CreateFromInt32RescaleTosaOperator</a>(outputNameRescaleMaxMin,</div> +<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  outputName,</div> +<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  outputDType0,</div> +<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  outputShape0,</div> +<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  1.0,</div> +<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  output_zp,</div> +<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  &rescaleOutputOp,</div> +<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keyword">nullptr</span>);</div> +<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  </div> +<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="comment">// operatorInputNames/operatorOutputNames ends up being the same as</span></div> +<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="comment">// blockInputNames/blockOutputNames for one-to-one ArmNN to Tosa mappings</span></div> +<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keywordflow">return</span> <span class="keyword">new</span> TosaSerializationBasicBlock(blockName, <span class="comment">// name</span></div> +<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <a class="code" href="_tosa_operator_utils_8hpp.html#a28514b014a4fe0841044f1868064bc65">mainName</a>, <span class="comment">// region name</span></div> +<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  {rescaleAlphaOp, rescaleIdentityOp, op, rescaleOutputOp}, <span class="comment">// operators</span></div> +<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  tensors, <span class="comment">// tensors</span></div> +<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  {inputName}, <span class="comment">// inputs</span></div> +<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  {outputName}); <span class="comment">// outputs</span></div> +<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  }</div> +<div class="line"><a name="l00224"></a><span class="lineno"> 224</span> <span class="preprocessor">#else</span></div> +<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  std::string outputNameZero = std::string(<span class="stringliteral">"intermediate3_"</span>) + <a class="code" href="_tosa_operator_utils_8hpp.html#aadc5d73bd0cb81999bcfdc62bce020e8">GetUniqueTosaMappingID</a>();</div> +<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  std::string outputNameGE = std::string(<span class="stringliteral">"intermediate4_"</span>) + <a class="code" href="_tosa_operator_utils_8hpp.html#aadc5d73bd0cb81999bcfdc62bce020e8">GetUniqueTosaMappingID</a>();</div> +<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  </div> +<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="comment">// const_zero</span></div> +<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  TosaSerializationOperator* zeroOp = <span class="keyword">nullptr</span>;</div> +<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  TosaSerializationTensor* zeroTensor = <span class="keyword">nullptr</span>;</div> +<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  CreateConstTosaOperator<float>(outputNameZero,</div> +<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  0.0f,</div> +<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  inputDType0,</div> +<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  inputShape0,</div> +<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  zeroOp,</div> +<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  zeroTensor);</div> +<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  tensors.push_back(zeroTensor);</div> +<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  </div> +<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="comment">// const_alpha</span></div> +<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  TosaSerializationOperator* alphaOp = <span class="keyword">nullptr</span>;</div> +<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  TosaSerializationTensor* alphaTensor = <span class="keyword">nullptr</span>;</div> +<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  CreateConstTosaOperator<float>(outputNameAlpha,</div> +<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  activationDescriptor-><a class="code" href="structarmnn_1_1_activation_descriptor.html#a017b2990003a014234f13e999dc7c689">m_A</a>,</div> +<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  inputDType0,</div> +<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  inputShape0,</div> +<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  alphaOp,</div> +<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  alphaTensor);</div> +<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  tensors.push_back(alphaTensor);</div> +<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  </div> +<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="comment">// mul</span></div> +<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  int32_t shift = 0;</div> +<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  TosaMulAttribute mulAttribute(shift);</div> +<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  TosaSerializationOperator* mulOp = <span class="keyword">new</span> TosaSerializationOperator(Op_MUL,</div> +<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  Attribute_MulAttribute,</div> +<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  &mulAttribute,</div> +<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  {inputName, outputNameAlpha},</div> +<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  {outputNameMul});</div> +<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  tensors.push_back(<span class="keyword">new</span> TosaSerializationTensor(outputNameMul, inputShape0, inputDType0, {}));</div> +<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  </div> +<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="comment">// greater_equal</span></div> +<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  TosaSerializationOperator* geOp = <span class="keyword">new</span> TosaSerializationOperator(Op_GREATER_EQUAL,</div> +<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  Attribute_NONE,</div> +<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keyword">nullptr</span>,</div> +<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  {inputName, outputNameZero},</div> +<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  {outputNameGE});</div> +<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  tensors.push_back(<span class="keyword">new</span> TosaSerializationTensor(outputNameGE, outputShape0, DType::DType_BOOL, {}));</div> +<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  </div> +<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="comment">// select</span></div> +<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  TosaSerializationOperator* selOp = <span class="keyword">new</span> TosaSerializationOperator(Op_SELECT,</div> +<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  Attribute_NONE,</div> +<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keyword">nullptr</span>,</div> +<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  {outputNameGE, inputName, outputNameMul},</div> +<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  {outputName});</div> +<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  </div> +<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="comment">// operatorInputNames/operatorOutputNames ends up being the same as</span></div> +<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="comment">// blockInputNames/blockOutputNames for one-to-one ArmNN to Tosa mappings</span></div> +<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="keywordflow">return</span> <span class="keyword">new</span> TosaSerializationBasicBlock(blockName, <span class="comment">// name</span></div> +<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <a class="code" href="_tosa_operator_utils_8hpp.html#a28514b014a4fe0841044f1868064bc65">mainName</a>, <span class="comment">// region name</span></div> +<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  {zeroOp, alphaOp, mulOp, geOp, selOp}, <span class="comment">// operators</span></div> +<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  tensors, <span class="comment">// tensors</span></div> +<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  {inputName}, <span class="comment">// inputs</span></div> +<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  {outputName}); <span class="comment">// outputs</span></div> +<div class="line"><a name="l00283"></a><span class="lineno"> 283</span> <span class="preprocessor">#endif</span></div> +<div class="line"><a name="l00284"></a><span class="lineno"> 284</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_tosa_operator_utils_8hpp_source.html#l00063">GenerateUniqueName()</a>, <a class="el" href="_tosa_operator_utils_8hpp_source.html#l00082">GenerateUniqueOutputName()</a>, <a class="el" href="_layer_8hpp_source.html#l00056">InputSlot::GetConnectedOutputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00337">Layer::GetInputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00132">OutputSlot::GetOwningLayer()</a>, <a class="el" href="_tosa_operator_utils_8hpp_source.html#l00052">GetTosaTensorShape()</a>, and <a class="el" href="_tosa_operator_utils_8hpp_source.html#l00100">GetUniqueTosaMappingID()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_tosa_mappings_8cpp_source.html#l00018">GetTosaMapping()</a>.</p> + +</div> +</div> +</div><!-- contents --> +</div><!-- doc-content --> +<div class="ttc" id="a_tosa_rescale_operator_utils_8hpp_html_a4abc0e36fdf181445157310836d44741"><div class="ttname"><a href="_tosa_rescale_operator_utils_8hpp.html#a4abc0e36fdf181445157310836d44741">CreateRescaleTosaOperator</a></div><div class="ttdeci">void CreateRescaleTosaOperator(const std::string &inputName, const std::string &outputName, DType output_type, const std::vector< int32_t > &shape, int32_t scale_multiplier, int32_t scale_shift, int32_t input_zp, int32_t output_zp, bool double_round, bool scale32, TosaSerializationOperator **op, TosaSerializationTensor **tensor)</div><div class="ttdef"><b>Definition:</b> <a href="_tosa_rescale_operator_utils_8hpp_source.html#l00010">TosaRescaleOperatorUtils.hpp:10</a></div></div> +<div class="ttc" id="astructarmnn_1_1_activation_descriptor_html_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH,...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00061">Descriptors.hpp:61</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_html_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot & GetInputSlot(unsigned int index) const override</div><div class="ttdoc">Get a const input slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00337">Layer.hpp:337</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_html"><div class="ttname"><a href="classarmnn_1_1_layer.html">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00230">Layer.hpp:230</a></div></div> +<div class="ttc" id="a_tosa_operator_utils_8hpp_html_a28514b014a4fe0841044f1868064bc65"><div class="ttname"><a href="_tosa_operator_utils_8hpp.html#a28514b014a4fe0841044f1868064bc65">mainName</a></div><div class="ttdeci">const std::string mainName</div><div class="ttdef"><b>Definition:</b> <a href="_tosa_operator_utils_8hpp_source.html#l00019">TosaOperatorUtils.hpp:19</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_output_slot_html_a7ddaf04177053a536f0e7be83a642bc6"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#a7ddaf04177053a536f0e7be83a642bc6">armnn::OutputSlot::GetOwningLayer</a></div><div class="ttdeci">Layer & GetOwningLayer() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00132">Layer.hpp:132</a></div></div> +<div class="ttc" id="a_tosa_operator_utils_8hpp_html_a45d66f17ad6b0469e469f443b3e03226"><div class="ttname"><a href="_tosa_operator_utils_8hpp.html#a45d66f17ad6b0469e469f443b3e03226">ArmNNToDType</a></div><div class="ttdeci">DType ArmNNToDType(const DataType &type)</div><div class="ttdef"><b>Definition:</b> <a href="_tosa_operator_utils_8hpp_source.html#l00022">TosaOperatorUtils.hpp:22</a></div></div> +<div class="ttc" id="a_tosa_operator_utils_8hpp_html_a246662c69dac647833be50ba6dcee024"><div class="ttname"><a href="_tosa_operator_utils_8hpp.html#a246662c69dac647833be50ba6dcee024">GenerateUniqueOutputName</a></div><div class="ttdeci">std::string GenerateUniqueOutputName(const Layer &layer, uint32_t layerSlot)</div><div class="ttdef"><b>Definition:</b> <a href="_tosa_operator_utils_8hpp_source.html#l00082">TosaOperatorUtils.hpp:82</a></div></div> +<div class="ttc" id="a_tosa_rescale_operator_utils_8hpp_html_af9d444ffce906683d38bff5c1f1e45f2"><div class="ttname"><a href="_tosa_rescale_operator_utils_8hpp.html#af9d444ffce906683d38bff5c1f1e45f2">CreateFromInt32RescaleTosaOperator</a></div><div class="ttdeci">void CreateFromInt32RescaleTosaOperator(const std::string &inputName, const std::string &outputName, DType output_type, const std::vector< int32_t > &shape, double output_scale, int32_t output_zp, TosaSerializationOperator **op, TosaSerializationTensor **tensor)</div><div class="ttdef"><b>Definition:</b> <a href="_tosa_rescale_operator_utils_8hpp_source.html#l00119">TosaRescaleOperatorUtils.hpp:119</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_exception_html"><div class="ttname"><a href="classarmnn_1_1_exception.html">armnn::Exception</a></div><div class="ttdoc">Base class for all ArmNN exceptions so that users can filter to just those.</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00046">Exceptions.hpp:46</a></div></div> +<div class="ttc" id="a_tosa_operator_utils_8hpp_html_a1640c964a461e8580837a79829a5c197"><div class="ttname"><a href="_tosa_operator_utils_8hpp.html#a1640c964a461e8580837a79829a5c197">GenerateUniqueName</a></div><div class="ttdeci">std::string GenerateUniqueName(const Layer &layer, uint32_t layerSlot)</div><div class="ttdef"><b>Definition:</b> <a href="_tosa_operator_utils_8hpp_source.html#l00063">TosaOperatorUtils.hpp:63</a></div></div> +<div class="ttc" id="a_tosa_operator_utils_8hpp_html_a7d97964a65be4eb4a5b4109904f2e7f7"><div class="ttname"><a href="_tosa_operator_utils_8hpp.html#a7d97964a65be4eb4a5b4109904f2e7f7">GetTosaTensorShape</a></div><div class="ttdeci">std::vector< int32_t > GetTosaTensorShape(const TensorShape &shape)</div><div class="ttdef"><b>Definition:</b> <a href="_tosa_operator_utils_8hpp_source.html#l00052">TosaOperatorUtils.hpp:52</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_input_slot_html_a9effd325a6d512a3f8ff4bd207d53255"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">armnn::InputSlot::GetConnectedOutputSlot</a></div><div class="ttdeci">const OutputSlot * GetConnectedOutputSlot() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00056">Layer.hpp:56</a></div></div> +<div class="ttc" id="a_tosa_operator_utils_8hpp_html_aadc5d73bd0cb81999bcfdc62bce020e8"><div class="ttname"><a href="_tosa_operator_utils_8hpp.html#aadc5d73bd0cb81999bcfdc62bce020e8">GetUniqueTosaMappingID</a></div><div class="ttdeci">std::string GetUniqueTosaMappingID()</div><div class="ttdef"><b>Definition:</b> <a href="_tosa_operator_utils_8hpp_source.html#l00100">TosaOperatorUtils.hpp:100</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_3eeadfb79f8e6e284b92aba47a7684a1.html">tosaCommon</a></li><li class="navelem"><a class="el" href="dir_44a5c203710327e1068d2575c20cb7c6.html">operatorMappings</a></li><li class="navelem"><a class="el" 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