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| <div class="textblock"><code>#include "<a class="el" href="_quantize_operator_8hpp_source.html">QuantizeOperator.hpp</a>"</code><br /> |
| <code>#include "<a class="el" href="_tosa_rescale_operator_utils_8hpp_source.html">TosaRescaleOperatorUtils.hpp</a>"</code><br /> |
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| Include dependency graph for QuantizeOperator.cpp:</div> |
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| Functions</h2></td></tr> |
| <tr class="memitem:a0c01e0628e152677de40807856e20d15"><td class="memItemLeft" align="right" valign="top">TosaSerializationBasicBlock * </td><td class="memItemRight" valign="bottom"><a class="el" href="_quantize_operator_8cpp.html#a0c01e0628e152677de40807856e20d15">ConvertQuantizeToTosaOperator</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)</td></tr> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a0c01e0628e152677de40807856e20d15">◆ </a></span>ConvertQuantizeToTosaOperator()</h2> |
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| <td class="memname">TosaSerializationBasicBlock* ConvertQuantizeToTosaOperator </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> |
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| <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> |
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| <p class="definition">Definition at line <a class="el" href="_quantize_operator_8cpp_source.html#l00015">15</a> of file <a class="el" href="_quantize_operator_8cpp_source.html">QuantizeOperator.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> {</div> |
| <div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <a class="code" href="_exceptions_8hpp.html#a5b0cd1f24b12298894d6367f186ea6dc">ARMNN_THROW_INVALIDARG_MSG_IF_FALSE</a>( inputs.size() == 1,</div> |
| <div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="stringliteral">"ConvertQuantizeToTosaOperator: Quantize must have only one input"</span> );</div> |
| <div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <a class="code" href="_exceptions_8hpp.html#a5b0cd1f24b12298894d6367f186ea6dc">ARMNN_THROW_INVALIDARG_MSG_IF_FALSE</a>( outputs.size() == 1,</div> |
| <div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="stringliteral">"ConvertQuantizeToTosaOperator: Quantize must have only one output"</span> );</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>  std::string inputName = std::string(<span class="stringliteral">"input_"</span>);</div> |
| <div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  std::string outputName = std::string(<span class="stringliteral">"output0_"</span>);</div> |
| <div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  std::string blockName = std::string(<span class="stringliteral">"Op_QUANTIZE_block_"</span>) + <a class="code" href="_tosa_operator_utils_8hpp.html#aadc5d73bd0cb81999bcfdc62bce020e8">GetUniqueTosaMappingID</a>();</div> |
| <div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  </div> |
| <div class="line"><a name="l00028"></a><span class="lineno"> 28</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="l00029"></a><span class="lineno"> 29</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="l00030"></a><span class="lineno"> 30</span>  <span class="keywordflow">if</span>(layer != <span class="keyword">nullptr</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>  inputName = <a class="code" href="_tosa_operator_utils_8hpp.html#a8863b57c08a748fd2dd16880337f4b69">GenerateUniqueInputName</a>(layer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0));</div> |
| <div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  outputName = <a class="code" href="_tosa_operator_utils_8hpp.html#a1e5b1f8dcc21f10bc7b0d8517e05049d">GenerateUniqueOutputName</a>(*layer);</div> |
| <div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  }</div> |
| <div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  </div> |
| <div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> inputInfo = *inputs[0];</div> |
| <div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> outputInfo = *outputs[0];</div> |
| <div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  </div> |
| <div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="comment">// Extract quantization detail from Tensor</span></div> |
| <div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordtype">float</span> zeroPoint = <span class="keyword">static_cast<</span><span class="keywordtype">float</span><span class="keyword">></span>(outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>());</div> |
| <div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="comment">// No per axis support in Tensorflow TOSA code</span></div> |
| <div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keywordtype">float</span> scale = outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>();</div> |
| <div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  </div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="comment">// As per the Tensorflow quantization specification</span></div> |
| <div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="comment">// Tensorflow TOSA code calculates quantization using multiplication by scale</span></div> |
| <div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="comment">// Armnn code calculates quantization using division by scale</span></div> |
| <div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="comment">// Invert scale factor passed from Armnn for tf TOSA code</span></div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  scale = (scale != 0) ? (1 / scale) : scale;</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>  std::vector<int32_t> inputShape0 = <a class="code" href="_tosa_operator_utils_8hpp.html#a7d97964a65be4eb4a5b4109904f2e7f7">GetTosaTensorShape</a>(inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>());</div> |
| <div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  DType inputDType0 = <a class="code" href="_tosa_operator_utils_8hpp.html#a45d66f17ad6b0469e469f443b3e03226">ArmNNToDType</a>(inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>());</div> |
| <div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keywordtype">bool</span> isFloatInput = inputDType0 == DType::DType_FP16 || inputDType0 == DType::DType_FP32;</div> |
| <div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  </div> |
| <div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="comment">// Only add input tensors if connected layer is an input layer.</span></div> |
| <div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="comment">// As intermediate or constant tensors will be created separately.</span></div> |
| <div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="comment">// There also can't be duplicate tensor.</span></div> |
| <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">if</span>(inputName.find(<span class="stringliteral">"input_"</span>) != std::string::npos)</div> |
| <div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  {</div> |
| <div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  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>(outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>());</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>(outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>());</div> |
| <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  </div> |
| <div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">if</span> (isFloatInput)</div> |
| <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  {</div> |
| <div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="comment">// quantize:</span></div> |
| <div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="comment">// const_zeroPoint = constant(zeroPoint)</span></div> |
| <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="comment">// const_scale = constant(scale)</span></div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="comment">// out_mul = mul(input, const_scale)</span></div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="comment">// out_add = add(out_mul, const_zeroPoint)</span></div> |
| <div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="comment">// output = cast<output_type>(out_add)</span></div> |
| <div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  </div> |
| <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  std::string outputNameScale = std::string(<span class="stringliteral">"input1_"</span>) + <a class="code" href="_tosa_operator_utils_8hpp.html#aadc5d73bd0cb81999bcfdc62bce020e8">GetUniqueTosaMappingID</a>();</div> |
| <div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  std::string outputNameZeroPoint = std::string(<span class="stringliteral">"input2_"</span>) + <a class="code" href="_tosa_operator_utils_8hpp.html#aadc5d73bd0cb81999bcfdc62bce020e8">GetUniqueTosaMappingID</a>();</div> |
| <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  std::string outputNameMul = std::string(<span class="stringliteral">"intermediate0_"</span>) + <a class="code" href="_tosa_operator_utils_8hpp.html#aadc5d73bd0cb81999bcfdc62bce020e8">GetUniqueTosaMappingID</a>();</div> |
| <div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  std::string outputNameAdd = 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="l00080"></a><span class="lineno"> 80</span>  </div> |
| <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="comment">// const_zeroPoint</span></div> |
| <div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  TosaSerializationOperator* zeroPointOp = <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  TosaSerializationTensor* zeroPointTensor = <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  CreateConstTosaOperator<float>(outputNameZeroPoint,</div> |
| <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  zeroPoint,</div> |
| <div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  inputDType0,</div> |
| <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  inputShape0,</div> |
| <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  zeroPointOp,</div> |
| <div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  zeroPointTensor);</div> |
| <div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  tensors.push_back(zeroPointTensor);</div> |
| <div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  </div> |
| <div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="comment">// const_scale</span></div> |
| <div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  TosaSerializationOperator *scaleOp = <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  TosaSerializationTensor* scaleTensor = <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  CreateConstTosaOperator<float>(outputNameScale,</div> |
| <div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  scale,</div> |
| <div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  inputDType0,</div> |
| <div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  inputShape0,</div> |
| <div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  scaleOp,</div> |
| <div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  scaleTensor);</div> |
| <div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  tensors.push_back(scaleTensor);</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="comment">// mul</span></div> |
| <div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  int32_t shift = 0;</div> |
| <div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  TosaMulAttribute mulAttribute(shift);</div> |
| <div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  TosaSerializationOperator* mulOp = <span class="keyword">new</span> TosaSerializationOperator(Op_MUL,</div> |
| <div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  Attribute_MulAttribute,</div> |
| <div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  &mulAttribute,</div> |
| <div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  {inputName, outputNameScale},</div> |
| <div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  {outputNameMul});</div> |
| <div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  tensors.push_back(<span class="keyword">new</span> TosaSerializationTensor(outputNameMul, inputShape0, inputDType0, {}));</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">// add</span></div> |
| <div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  TosaSerializationOperator* addOp = <span class="keyword">new</span> TosaSerializationOperator(Op_ADD,</div> |
| <div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  Attribute_NONE,</div> |
| <div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keyword">nullptr</span>,</div> |
| <div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  {outputNameMul, outputNameZeroPoint},</div> |
| <div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  {outputNameAdd});</div> |
| <div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  tensors.push_back(<span class="keyword">new</span> TosaSerializationTensor(outputNameAdd, inputShape0, inputDType0, {}));</div> |
| <div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  </div> |
| <div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="comment">// cast</span></div> |
| <div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  TosaSerializationOperator* castOp = <span class="keyword">new</span> TosaSerializationOperator(Op_CAST,</div> |
| <div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  Attribute_NONE,</div> |
| <div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keyword">nullptr</span>,</div> |
| <div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  {outputNameAdd},</div> |
| <div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  {outputName});</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>  tensors.push_back(<span class="keyword">new</span> TosaSerializationTensor(outputName, outputShape0, outputDType0, {}));</div> |
| <div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  </div> |
| <div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="comment">// operatorInputNames/operatorOutputNames ends up being the same as</span></div> |
| <div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="comment">// blockInputNames/blockOutputNames for one-to-one ArmNN to TOSA mappings</span></div> |
| <div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keywordflow">return</span> <span class="keyword">new</span> TosaSerializationBasicBlock(blockName, <span class="comment">// name</span></div> |
| <div class="line"><a name="l00133"></a><span class="lineno"> 133</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="l00134"></a><span class="lineno"> 134</span>  {zeroPointOp, scaleOp, mulOp, addOp, castOp}, <span class="comment">// operators</span></div> |
| <div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  tensors, <span class="comment">// tensors</span></div> |
| <div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  {inputName}, <span class="comment">// inputs</span></div> |
| <div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  {outputName}); <span class="comment">// outputs</span></div> |
| <div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  }</div> |
| <div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  {</div> |
| <div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordtype">double</span> scale_alpha = inputs[0]->GetQuantizationScale() / outputs[0]->GetQuantizationScale();</div> |
| <div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  int32_t input_zp = inputs[0]->GetQuantizationOffset();</div> |
| <div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  int32_t output_zp = outputs[0]->GetQuantizationOffset();</div> |
| <div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  </div> |
| <div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  TosaSerializationOperator* rescaleOp = <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <a class="code" href="_tosa_rescale_operator_utils_8hpp.html#a94df4e987955bf744ebca8211da1c26b">CreateRescaleTosaOperator</a>(inputName,</div> |
| <div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  outputName,</div> |
| <div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  scale_alpha,</div> |
| <div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  input_zp,</div> |
| <div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  output_zp,</div> |
| <div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keyword">true</span>,</div> |
| <div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keyword">true</span>,</div> |
| <div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  &rescaleOp);</div> |
| <div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  tensors.push_back(<span class="keyword">new</span> TosaSerializationTensor(outputName,</div> |
| <div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  inputShape0,</div> |
| <div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  outputDType0, {}));</div> |
| <div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  </div> |
| <div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="comment">// operatorInputNames/operatorOutputNames ends up being the same as</span></div> |
| <div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="comment">// blockInputNames/blockOutputNames for one-to-one ArmNN to TOSA mappings</span></div> |
| <div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordflow">return</span> <span class="keyword">new</span> TosaSerializationBasicBlock(blockName, <span class="comment">// name</span></div> |
| <div class="line"><a name="l00161"></a><span class="lineno"> 161</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="l00162"></a><span class="lineno"> 162</span>  {rescaleOp}, <span class="comment">// operators</span></div> |
| <div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  tensors, <span class="comment">// tensors</span></div> |
| <div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  {inputName}, <span class="comment">// inputs</span></div> |
| <div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  {outputName}); <span class="comment">// outputs</span></div> |
| <div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  }</div> |
| <div class="line"><a name="l00167"></a><span class="lineno"> 167</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_exceptions_8hpp_source.html#l00210">ARMNN_THROW_INVALIDARG_MSG_IF_FALSE</a>, <a class="el" href="_tosa_operator_utils_8hpp_source.html#l00022">ArmNNToDType()</a>, <a class="el" href="_tosa_rescale_operator_utils_8hpp_source.html#l00010">CreateRescaleTosaOperator()</a>, <a class="el" href="_tosa_operator_utils_8hpp_source.html#l00109">GenerateUniqueInputName()</a>, <a class="el" href="_tosa_operator_utils_8hpp_source.html#l00120">GenerateUniqueOutputName()</a>, <a class="el" href="_tensor_8hpp_source.html#l00200">TensorInfo::GetDataType()</a>, <a class="el" href="_layer_8hpp_source.html#l00337">Layer::GetInputSlot()</a>, <a class="el" href="_tensor_8cpp_source.html#l00482">TensorInfo::GetQuantizationOffset()</a>, <a class="el" href="_tensor_8cpp_source.html#l00461">TensorInfo::GetQuantizationScale()</a>, <a class="el" href="_tensor_8hpp_source.html#l00193">TensorInfo::GetShape()</a>, <a class="el" href="_tosa_operator_utils_8hpp_source.html#l00079">GetTosaTensorShape()</a>, <a class="el" href="_tosa_operator_utils_8hpp_source.html#l00138">GetUniqueTosaMappingID()</a>, and <a class="el" href="_tosa_operator_utils_8hpp_source.html#l00019">mainName</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_tosa_mappings_8cpp_source.html#l00018">GetTosaMapping()</a>.</p> |
| |
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| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a047ca888c43bd7fb5702853bf72410d0"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a047ca888c43bd7fb5702853bf72410d0">armnn::TensorInfo::GetQuantizationScale</a></div><div class="ttdeci">float GetQuantizationScale() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00461">Tensor.cpp:461</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00152">Tensor.hpp:152</a></div></div> |
| <div class="ttc" id="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 &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 & 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="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 &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_tensor_info_html_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00200">Tensor.hpp:200</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00193">Tensor.hpp:193</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#l00079">TosaOperatorUtils.hpp:79</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 &inputName, const std::string &outputName, const std::vector< int32_t > &multipliers, const std::vector< int32_t > &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="aclassarmnn_1_1_tensor_info_html_a770b51078da02f44a819e9f95d8058b5"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">armnn::TensorInfo::GetQuantizationOffset</a></div><div class="ttdeci">int32_t GetQuantizationOffset() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00482">Tensor.cpp:482</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 &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_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> |
| <div class="ttc" id="a_exceptions_8hpp_html_a5b0cd1f24b12298894d6367f186ea6dc"><div class="ttname"><a href="_exceptions_8hpp.html#a5b0cd1f24b12298894d6367f186ea6dc">ARMNN_THROW_INVALIDARG_MSG_IF_FALSE</a></div><div class="ttdeci">#define ARMNN_THROW_INVALIDARG_MSG_IF_FALSE(_cond, _str)</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00210">Exceptions.hpp:210</a></div></div> |
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