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<div class="title">ActivationOperator.cpp</div> </div>
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<a href="_activation_operator_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2024 Arm Ltd and Contributors. All rights reserved.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="comment">// Copyright © 2020 The TensorFlow Authors. All Rights Reserved.</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="comment">// SPDX-License-Identifier: Apache-2.0</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160; </div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_activation_operator_8hpp.html">ActivationOperator.hpp</a>&quot;</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_tosa_rescale_operator_utils_8hpp.html">TosaRescaleOperatorUtils.hpp</a>&quot;</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160; </div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_activation_layer_8hpp.html">layers/ActivationLayer.hpp</a>&gt;</span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160; </div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="comment">// This function is paraphrased from:</span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="comment">// tensorflow/compiler/mlir/tosa/transforms/legalize_tfl.cc from function ConvertTFLLeakyReluOp</span></div>
<div class="line"><a name="l00017"></a><span class="lineno"><a class="line" href="_activation_operator_8hpp.html#a724fcc658cf1c24a6e068c01adcd3a97"> 17</a></span>&#160;TosaSerializationBasicBlock* <a class="code" href="_activation_operator_8cpp.html#a724fcc658cf1c24a6e068c01adcd3a97">ConvertActivationToTosaOperator</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.html">Layer</a>* layer,</div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160; <span class="keyword">const</span> std::vector&lt;const TensorInfo*&gt;&amp; inputs,</div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160; <span class="keyword">const</span> std::vector&lt;const TensorInfo*&gt;&amp; outputs,</div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_descriptor.html">ActivationDescriptor</a>* activationDescriptor)</div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;{</div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; <span class="keywordflow">if</span> (inputs.size() != 1)</div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; {</div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">&quot;ConvertActivationToTosaOperator: 1 input tensors required.&quot;</span>);</div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; }</div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; </div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; <span class="keywordflow">if</span> (outputs.size() != 1)</div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; {</div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">&quot;ConvertActivationToTosaOperator: 1 output tensor required.&quot;</span>);</div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; }</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; </div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; std::string inputName = std::string(<span class="stringliteral">&quot;input_&quot;</span>);</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; std::string outputNameAlpha = std::string(<span class="stringliteral">&quot;intermediate1_&quot;</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>&#160; std::string outputNameMul = std::string(<span class="stringliteral">&quot;intermediate2_&quot;</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>&#160; std::string outputName = std::string(<span class="stringliteral">&quot;output0_&quot;</span>);</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; std::string blockName = std::string(<span class="stringliteral">&quot;Op_ACTIVATION_block_&quot;</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>&#160; </div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <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>&#160; <span class="comment">// using the previous and following layers so the graph is connected correctly. For validation this doesn&#39;t matter.</span></div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <span class="keywordflow">if</span> (layer != <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; {</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; inputName = <a class="code" href="_tosa_operator_utils_8hpp.html#a8863b57c08a748fd2dd16880337f4b69">GenerateUniqueInputName</a>(layer-&gt;<a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0));</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; outputName = <a class="code" href="_tosa_operator_utils_8hpp.html#a1e5b1f8dcc21f10bc7b0d8517e05049d">GenerateUniqueOutputName</a>(*layer);</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; }</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; </div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; std::vector&lt;TosaSerializationTensor*&gt; tensors;</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; </div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <span class="comment">// Only add input tensors if connected layer is an input layer.</span></div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <span class="comment">// As intermediate or constant tensors will be created separately.</span></div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <span class="comment">// There also can&#39;t be duplicate tensor.</span></div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; std::vector&lt;int32_t&gt; inputShape0;</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; DType inputDType0 = DType::DType_UNKNOWN;</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <span class="keywordflow">if</span>(inputName.find(<span class="stringliteral">&quot;input_&quot;</span>) != std::string::npos)</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; {</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; inputShape0 = <a class="code" href="_tosa_operator_utils_8hpp.html#a7d97964a65be4eb4a5b4109904f2e7f7">GetTosaTensorShape</a>(inputs[0]-&gt;GetShape());</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; inputDType0 = <a class="code" href="_tosa_operator_utils_8hpp.html#a45d66f17ad6b0469e469f443b3e03226">ArmNNToDType</a>(inputs[0]-&gt;GetDataType());</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; tensors.push_back(<span class="keyword">new</span> TosaSerializationTensor(inputName, inputShape0, inputDType0, {}));</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; }</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; </div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; std::vector&lt;int32_t&gt; outputShape0 = <a class="code" href="_tosa_operator_utils_8hpp.html#a7d97964a65be4eb4a5b4109904f2e7f7">GetTosaTensorShape</a>(outputs[0]-&gt;GetShape());</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; DType outputDType0 = <a class="code" href="_tosa_operator_utils_8hpp.html#a45d66f17ad6b0469e469f443b3e03226">ArmNNToDType</a>(outputs[0]-&gt;GetDataType());</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; tensors.push_back(<span class="keyword">new</span> TosaSerializationTensor(outputName, outputShape0, outputDType0, {}));</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; </div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;<span class="preprocessor">#if TOSA_COMPAT_VERSION(0, 60, 0)</span></div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; std::string outputNameMAXMIN= std::string(<span class="stringliteral">&quot;intermediate3_&quot;</span>) + <a class="code" href="_tosa_operator_utils_8hpp.html#aadc5d73bd0cb81999bcfdc62bce020e8">GetUniqueTosaMappingID</a>();</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; </div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="keywordflow">if</span> (inputDType0 == DType::DType_FP32 ||</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; inputDType0 == DType::DType_FP16)</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; {</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <span class="comment">// const_alpha</span></div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; TosaSerializationOperator* alphaOp = <span class="keyword">nullptr</span>;</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; TosaSerializationTensor* alphaTensor = <span class="keyword">nullptr</span>;</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; CreateConstTosaOperator&lt;float&gt;(outputNameAlpha,</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; activationDescriptor-&gt;<a class="code" href="structarmnn_1_1_activation_descriptor.html#a017b2990003a014234f13e999dc7c689">m_A</a>,</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; inputDType0,</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; inputShape0,</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; alphaOp,</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; alphaTensor);</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; tensors.push_back(alphaTensor);</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; </div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; <span class="comment">// mul</span></div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; int32_t shift = 0;</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; TosaMulAttribute mulAttribute(shift);</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; TosaSerializationOperator* mulOp = <span class="keyword">new</span> TosaSerializationOperator(Op_MUL,</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; Attribute_MulAttribute,</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; &amp;mulAttribute,</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; {inputName, outputNameAlpha},</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; {outputNameMul});</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; tensors.push_back(<span class="keyword">new</span> TosaSerializationTensor(outputNameMul, inputShape0, inputDType0, {}));</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; </div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; TosaSerializationOperator* op = <span class="keyword">nullptr</span>;</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <span class="keywordflow">if</span> (activationDescriptor-&gt;<a class="code" href="structarmnn_1_1_activation_descriptor.html#a017b2990003a014234f13e999dc7c689">m_A</a> &lt;= 1.0)</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; {</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; op = <span class="keyword">new</span> TosaSerializationOperator(Op_MAXIMUM,</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; Attribute_NONE,</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <span class="keyword">nullptr</span>,</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; {inputName, outputNameMul},</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; {outputName});</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; }</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <span class="keywordflow">else</span></div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; {</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; op = <span class="keyword">new</span> TosaSerializationOperator(Op_MINIMUM,</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; Attribute_NONE,</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; <span class="keyword">nullptr</span>,</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; {inputName, outputNameMul},</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; {outputName});</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; </div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; }</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; </div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <span class="comment">// operatorInputNames/operatorOutputNames ends up being the same as</span></div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <span class="comment">// blockInputNames/blockOutputNames for one-to-one ArmNN to Tosa mappings</span></div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <span class="keywordflow">return</span> <span class="keyword">new</span> TosaSerializationBasicBlock(blockName, <span class="comment">// name</span></div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <a class="code" href="_tosa_operator_utils_8hpp.html#a28514b014a4fe0841044f1868064bc65">mainName</a>, <span class="comment">// region name</span></div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; {alphaOp, mulOp, op}, <span class="comment">// operators</span></div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; tensors, <span class="comment">// tensors</span></div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; {inputName}, <span class="comment">// inputs</span></div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; {outputName}); <span class="comment">// outputs</span></div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; }</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <span class="keywordflow">else</span></div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; {</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; std::string outputNameRescaleAlpha = std::string(<span class="stringliteral">&quot;intermediate3_&quot;</span>) + <a class="code" href="_tosa_operator_utils_8hpp.html#aadc5d73bd0cb81999bcfdc62bce020e8">GetUniqueTosaMappingID</a>();</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; std::string outputNameRescaleIdentity = std::string(<span class="stringliteral">&quot;intermediate4_&quot;</span>) + <a class="code" href="_tosa_operator_utils_8hpp.html#aadc5d73bd0cb81999bcfdc62bce020e8">GetUniqueTosaMappingID</a>();</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; std::string outputNameRescaleMaxMin = std::string(<span class="stringliteral">&quot;intermediate5_&quot;</span>) + <a class="code" href="_tosa_operator_utils_8hpp.html#aadc5d73bd0cb81999bcfdc62bce020e8">GetUniqueTosaMappingID</a>();</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; </div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; DType rescale_type = DType::DType_INT32;</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; <span class="keywordtype">float</span> alpha = activationDescriptor-&gt;<a class="code" href="structarmnn_1_1_activation_descriptor.html#a017b2990003a014234f13e999dc7c689">m_A</a>;</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <span class="keywordtype">double</span> scale_alpha = inputs[0]-&gt;GetQuantizationScale() * alpha / outputs[0]-&gt;GetQuantizationScale();</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; <span class="keywordtype">double</span> scale_identity = inputs[0]-&gt;GetQuantizationScale() / outputs[0]-&gt;GetQuantizationScale();</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; int32_t input_zp = inputs[0]-&gt;GetQuantizationOffset();</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; int32_t output_zp = outputs[0]-&gt;GetQuantizationOffset();</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; </div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <span class="comment">// Value op_rescale_alpha_in =</span></div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; <span class="comment">// buildRescale(rewriter, op, rescale_type, input, scale_alpha,</span></div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; <span class="comment">// input_qtype.getZeroPoint(), 0, true, true);</span></div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; TosaSerializationOperator* rescaleAlphaOp = <span class="keyword">nullptr</span>;</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; <a class="code" href="_tosa_rescale_operator_utils_8hpp.html#a94df4e987955bf744ebca8211da1c26b">CreateRescaleTosaOperator</a>(inputName,</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; outputNameRescaleAlpha,</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; scale_alpha,</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; input_zp,</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; 0,</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <span class="keyword">true</span>,</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <span class="keyword">true</span>,</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; &amp;rescaleAlphaOp);</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; tensors.push_back(<span class="keyword">new</span> TosaSerializationTensor(outputNameRescaleAlpha,</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; <a class="code" href="_tosa_operator_utils_8hpp.html#a7d97964a65be4eb4a5b4109904f2e7f7">GetTosaTensorShape</a>(inputs[0]-&gt;GetShape()),</div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; rescale_type, {}));</div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; <span class="comment">// Value op_rescale_identity_in =</span></div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <span class="comment">// buildRescale(rewriter, op, rescale_type, input, scale_identity,</span></div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; <span class="comment">// input_qtype.getZeroPoint(), 0, true, true);</span></div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; TosaSerializationOperator* rescaleIdentityOp = <span class="keyword">nullptr</span>;</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; <a class="code" href="_tosa_rescale_operator_utils_8hpp.html#a94df4e987955bf744ebca8211da1c26b">CreateRescaleTosaOperator</a>(inputName,</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; outputNameRescaleIdentity,</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; scale_identity,</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; input_zp,</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; 0,</div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; <span class="keyword">true</span>,</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; <span class="keyword">true</span>,</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; &amp;rescaleIdentityOp);</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; tensors.push_back(<span class="keyword">new</span> TosaSerializationTensor(outputNameRescaleIdentity,</div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; <a class="code" href="_tosa_operator_utils_8hpp.html#a7d97964a65be4eb4a5b4109904f2e7f7">GetTosaTensorShape</a>(inputs[0]-&gt;GetShape()),</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; rescale_type, {}));</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; <span class="comment">// Value result_int32;</span></div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; <span class="comment">// if (alpha &lt;= 1.0) {</span></div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; <span class="comment">// auto max_op = CreateOpAndInfer&lt;tosa::MaximumOp&gt;(</span></div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; <span class="comment">// rewriter, op-&gt;getLoc(), rescale_type, op_rescale_identity_in,</span></div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; <span class="comment">// op_rescale_alpha_in);</span></div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; <span class="comment">// result_int32 = max_op.getResult();</span></div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; <span class="comment">// } else {</span></div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; <span class="comment">// auto min_op = CreateOpAndInfer&lt;tosa::MinimumOp&gt;(</span></div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; <span class="comment">// rewriter, op-&gt;getLoc(), rescale_type, op_rescale_identity_in,</span></div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; <span class="comment">// op_rescale_alpha_in);</span></div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; <span class="comment">// result_int32 = min_op.getResult();</span></div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; <span class="comment">// }</span></div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; TosaSerializationOperator* op = <span class="keyword">nullptr</span>;</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; <span class="keywordflow">if</span> (alpha &lt;= 1.0)</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; {</div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; op = <span class="keyword">new</span> TosaSerializationOperator(Op_MAXIMUM,</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; Attribute_NONE,</div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; <span class="keyword">nullptr</span>,</div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; {outputNameRescaleAlpha, outputNameRescaleIdentity},</div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; {outputNameRescaleMaxMin});</div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; }</div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; <span class="keywordflow">else</span></div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; {</div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; op = <span class="keyword">new</span> TosaSerializationOperator(Op_MINIMUM,</div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; Attribute_NONE,</div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; <span class="keyword">nullptr</span>,</div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; {outputNameRescaleAlpha, outputNameRescaleIdentity},</div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; {outputNameRescaleMaxMin});</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; </div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; }</div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; tensors.push_back(<span class="keyword">new</span> TosaSerializationTensor(outputNameRescaleMaxMin,</div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; <a class="code" href="_tosa_operator_utils_8hpp.html#a7d97964a65be4eb4a5b4109904f2e7f7">GetTosaTensorShape</a>(inputs[0]-&gt;GetShape()),</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; rescale_type, {}));</div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; </div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; <span class="comment">// Value output = buildRescaleFromInt32(rewriter, op, output_type, result_int32,</span></div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; <span class="comment">// 1.0, output_qtype.getZeroPoint());</span></div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; TosaSerializationOperator* rescaleOutputOp = <span class="keyword">nullptr</span>;</div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; <a class="code" href="_tosa_rescale_operator_utils_8hpp.html#a7ef53b1ca24c27b43411bc42280937ff">CreateFromInt32RescaleTosaOperator</a>(outputNameRescaleMaxMin,</div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; outputName,</div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; 1.0,</div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; output_zp,</div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; &amp;rescaleOutputOp);</div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; </div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; <span class="comment">// operatorInputNames/operatorOutputNames ends up being the same as</span></div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; <span class="comment">// blockInputNames/blockOutputNames for one-to-one ArmNN to Tosa mappings</span></div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; <span class="keywordflow">return</span> <span class="keyword">new</span> TosaSerializationBasicBlock(blockName, <span class="comment">// name</span></div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; <a class="code" href="_tosa_operator_utils_8hpp.html#a28514b014a4fe0841044f1868064bc65">mainName</a>, <span class="comment">// region name</span></div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; {rescaleAlphaOp, rescaleIdentityOp, op, rescaleOutputOp}, <span class="comment">// operators</span></div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; tensors, <span class="comment">// tensors</span></div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; {inputName}, <span class="comment">// inputs</span></div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; {outputName}); <span class="comment">// outputs</span></div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; }</div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160;<span class="preprocessor">#else</span></div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; std::string outputNameZero = std::string(<span class="stringliteral">&quot;intermediate3_&quot;</span>) + <a class="code" href="_tosa_operator_utils_8hpp.html#aadc5d73bd0cb81999bcfdc62bce020e8">GetUniqueTosaMappingID</a>();</div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; std::string outputNameGE = std::string(<span class="stringliteral">&quot;intermediate4_&quot;</span>) + <a class="code" href="_tosa_operator_utils_8hpp.html#aadc5d73bd0cb81999bcfdc62bce020e8">GetUniqueTosaMappingID</a>();</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; </div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; <span class="comment">// const_zero</span></div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; TosaSerializationOperator* zeroOp = <span class="keyword">nullptr</span>;</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; TosaSerializationTensor* zeroTensor = <span class="keyword">nullptr</span>;</div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; CreateConstTosaOperator&lt;float&gt;(outputNameZero,</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; 0.0f,</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; inputDType0,</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; inputShape0,</div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; zeroOp,</div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; zeroTensor);</div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; tensors.push_back(zeroTensor);</div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; </div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; <span class="comment">// const_alpha</span></div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; TosaSerializationOperator* alphaOp = <span class="keyword">nullptr</span>;</div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; TosaSerializationTensor* alphaTensor = <span class="keyword">nullptr</span>;</div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; CreateConstTosaOperator&lt;float&gt;(outputNameAlpha,</div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; activationDescriptor-&gt;<a class="code" href="structarmnn_1_1_activation_descriptor.html#a017b2990003a014234f13e999dc7c689">m_A</a>,</div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; inputDType0,</div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; inputShape0,</div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; alphaOp,</div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; alphaTensor);</div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160; tensors.push_back(alphaTensor);</div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; </div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; <span class="comment">// mul</span></div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160; int32_t shift = 0;</div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160; TosaMulAttribute mulAttribute(shift);</div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; TosaSerializationOperator* mulOp = <span class="keyword">new</span> TosaSerializationOperator(Op_MUL,</div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; Attribute_MulAttribute,</div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; &amp;mulAttribute,</div>
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; {inputName, outputNameAlpha},</div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; {outputNameMul});</div>
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; tensors.push_back(<span class="keyword">new</span> TosaSerializationTensor(outputNameMul, inputShape0, inputDType0, {}));</div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; </div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; <span class="comment">// greater_equal</span></div>
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; TosaSerializationOperator* geOp = <span class="keyword">new</span> TosaSerializationOperator(Op_GREATER_EQUAL,</div>
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; Attribute_NONE,</div>
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; <span class="keyword">nullptr</span>,</div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; {inputName, outputNameZero},</div>
<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160; {outputNameGE});</div>
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160; tensors.push_back(<span class="keyword">new</span> TosaSerializationTensor(outputNameGE, outputShape0, DType::DType_BOOL, {}));</div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160; </div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160; <span class="comment">// select</span></div>
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; TosaSerializationOperator* selOp = <span class="keyword">new</span> TosaSerializationOperator(Op_SELECT,</div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160; Attribute_NONE,</div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160; <span class="keyword">nullptr</span>,</div>
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160; {outputNameGE, inputName, outputNameMul},</div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160; {outputName});</div>
<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; </div>
<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; <span class="comment">// operatorInputNames/operatorOutputNames ends up being the same as</span></div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; <span class="comment">// blockInputNames/blockOutputNames for one-to-one ArmNN to Tosa mappings</span></div>
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160; <span class="keywordflow">return</span> <span class="keyword">new</span> TosaSerializationBasicBlock(blockName, <span class="comment">// name</span></div>
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; <a class="code" href="_tosa_operator_utils_8hpp.html#a28514b014a4fe0841044f1868064bc65">mainName</a>, <span class="comment">// region name</span></div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; {zeroOp, alphaOp, mulOp, geOp, selOp}, <span class="comment">// operators</span></div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; tensors, <span class="comment">// tensors</span></div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160; {inputName}, <span class="comment">// inputs</span></div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; {outputName}); <span class="comment">// outputs</span></div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160;}</div>
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<div class="ttc" id="astructarmnn_1_1_activation_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00036">Descriptors.hpp:36</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="a_activation_layer_8hpp_html"><div class="ttname"><a href="_activation_layer_8hpp.html">ActivationLayer.hpp</a></div></div>
<div class="ttc" id="a_tosa_rescale_operator_utils_8hpp_html"><div class="ttname"><a href="_tosa_rescale_operator_utils_8hpp.html">TosaRescaleOperatorUtils.hpp</a></div></div>
<div class="ttc" id="a_tosa_operator_utils_8hpp_html_a1e5b1f8dcc21f10bc7b0d8517e05049d"><div class="ttname"><a href="_tosa_operator_utils_8hpp.html#a1e5b1f8dcc21f10bc7b0d8517e05049d">GenerateUniqueOutputName</a></div><div class="ttdeci">std::string GenerateUniqueOutputName(const Layer &amp;layer, uint32_t layerSlot=0)</div><div class="ttdef"><b>Definition:</b> <a href="_tosa_operator_utils_8hpp_source.html#l00120">TosaOperatorUtils.hpp:120</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 &amp; 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="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 &amp;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="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_a7d97964a65be4eb4a5b4109904f2e7f7"><div class="ttname"><a href="_tosa_operator_utils_8hpp.html#a7d97964a65be4eb4a5b4109904f2e7f7">GetTosaTensorShape</a></div><div class="ttdeci">std::vector&lt; int32_t &gt; GetTosaTensorShape(const TensorShape &amp;shape)</div><div class="ttdef"><b>Definition:</b> <a href="_tosa_operator_utils_8hpp_source.html#l00079">TosaOperatorUtils.hpp:79</a></div></div>
<div class="ttc" id="a_tosa_rescale_operator_utils_8hpp_html_a7ef53b1ca24c27b43411bc42280937ff"><div class="ttname"><a href="_tosa_rescale_operator_utils_8hpp.html#a7ef53b1ca24c27b43411bc42280937ff">CreateFromInt32RescaleTosaOperator</a></div><div class="ttdeci">void CreateFromInt32RescaleTosaOperator(const std::string &amp;inputName, const std::string &amp;outputName, double output_scale, int32_t output_zp, TosaSerializationOperator **op)</div><div class="ttdef"><b>Definition:</b> <a href="_tosa_rescale_operator_utils_8hpp_source.html#l00215">TosaRescaleOperatorUtils.hpp:215</a></div></div>
<div class="ttc" id="a_activation_operator_8cpp_html_a724fcc658cf1c24a6e068c01adcd3a97"><div class="ttname"><a href="_activation_operator_8cpp.html#a724fcc658cf1c24a6e068c01adcd3a97">ConvertActivationToTosaOperator</a></div><div class="ttdeci">TosaSerializationBasicBlock * ConvertActivationToTosaOperator(const Layer *layer, const std::vector&lt; const TensorInfo * &gt; &amp;inputs, const std::vector&lt; const TensorInfo * &gt; &amp;outputs, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_activation_operator_8cpp_source.html#l00017">ActivationOperator.cpp:17</a></div></div>
<div class="ttc" id="a_tosa_rescale_operator_utils_8hpp_html_a94df4e987955bf744ebca8211da1c26b"><div class="ttname"><a href="_tosa_rescale_operator_utils_8hpp.html#a94df4e987955bf744ebca8211da1c26b">CreateRescaleTosaOperator</a></div><div class="ttdeci">void CreateRescaleTosaOperator(const std::string &amp;inputName, const std::string &amp;outputName, const std::vector&lt; int32_t &gt; &amp;multipliers, const std::vector&lt; int32_t &gt; &amp;shifts, int32_t input_zp, int32_t output_zp, bool double_round, bool scale32, bool per_channel, TosaSerializationOperator **op)</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="a_tosa_operator_utils_8hpp_html_a8863b57c08a748fd2dd16880337f4b69"><div class="ttname"><a href="_tosa_operator_utils_8hpp.html#a8863b57c08a748fd2dd16880337f4b69">GenerateUniqueInputName</a></div><div class="ttdeci">std::string GenerateUniqueInputName(const armnn::InputSlot &amp;slot)</div><div class="ttdef"><b>Definition:</b> <a href="_tosa_operator_utils_8hpp_source.html#l00109">TosaOperatorUtils.hpp:109</a></div></div>
<div class="ttc" id="a_activation_operator_8hpp_html"><div class="ttname"><a href="_activation_operator_8hpp.html">ActivationOperator.hpp</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#l00138">TosaOperatorUtils.hpp:138</a></div></div>
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