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Diffstat (limited to 'latest/_resize_operator_8cpp.html')
-rw-r--r-- | latest/_resize_operator_8cpp.html | 265 |
1 files changed, 129 insertions, 136 deletions
diff --git a/latest/_resize_operator_8cpp.html b/latest/_resize_operator_8cpp.html index 2ff8478184..f2289effa0 100644 --- a/latest/_resize_operator_8cpp.html +++ b/latest/_resize_operator_8cpp.html @@ -36,7 +36,7 @@ <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> +  <span id="projectnumber">24.05</span> </div> </td> </tr> @@ -175,7 +175,7 @@ Functions</h2></td></tr> <div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a>(<span class="stringliteral">"ConvertResizeToTosaOperator: Unsupported Resize method."</span>);</div> <div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  }</div> <div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  </div> -<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  std::string inputName = std::string(<span class="stringliteral">"input0_"</span>);</div> +<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  std::string inputName = std::string(<span class="stringliteral">"input_"</span>);</div> <div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  std::string outputName = std::string(<span class="stringliteral">"output0_"</span>);</div> <div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  std::string blockName = std::string(<span class="stringliteral">"Op_RESIZE_block_"</span>) + <a class="code" href="_tosa_operator_utils_8hpp.html#aadc5d73bd0cb81999bcfdc62bce020e8">GetUniqueTosaMappingID</a>();</div> <div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  </div> @@ -183,134 +183,130 @@ Functions</h2></td></tr> <div class="line"><a name="l00045"></a><span class="lineno"> 45</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="l00046"></a><span class="lineno"> 46</span>  <span class="keywordflow">if</span>(layer != <span class="keyword">nullptr</span>)</div> <div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  {</div> -<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="comment">// Get the layers connected to the input slots and determine unique tensor names.</span></div> -<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& connectedLayer = 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="l00050"></a><span class="lineno"> 50</span>  inputName = <a class="code" href="_tosa_operator_utils_8hpp.html#a1640c964a461e8580837a79829a5c197">GenerateUniqueName</a>(connectedLayer, 0);</div> +<div class="line"><a name="l00048"></a><span class="lineno"> 48</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="l00049"></a><span class="lineno"> 49</span>  outputName = <a class="code" href="_tosa_operator_utils_8hpp.html#a1e5b1f8dcc21f10bc7b0d8517e05049d">GenerateUniqueOutputName</a>(*layer);</div> +<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  }</div> <div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  </div> -<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="comment">// Determine unique output tensor name.</span></div> -<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  outputName = <a class="code" href="_tosa_operator_utils_8hpp.html#a246662c69dac647833be50ba6dcee024">GenerateUniqueOutputName</a>(*layer, 0);</div> -<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  }</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>  int32_t inputHeight = <span class="keyword">static_cast<</span>int32_t<span class="keyword">></span>(inputs[0]->GetShape()[1]);</div> -<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  int32_t inputWidth = <span class="keyword">static_cast<</span>int32_t<span class="keyword">></span>(inputs[0]->GetShape()[2]);</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>  int32_t outputHeight = <span class="keyword">static_cast<</span>int32_t<span class="keyword">></span>(resizeDescriptor-><a class="code" href="structarmnn_1_1_resize_descriptor.html#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd">m_TargetHeight</a>);</div> -<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  int32_t outputWidth = <span class="keyword">static_cast<</span>int32_t<span class="keyword">></span>(resizeDescriptor-><a class="code" href="structarmnn_1_1_resize_descriptor.html#adcf5037208faac36c0788239a073f75c">m_TargetWidth</a>);</div> -<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordtype">bool</span> alignCorners = resizeDescriptor-><a class="code" href="structarmnn_1_1_resize_descriptor.html#ae1a4b3b6c60552509b89747cebb900a2">m_AlignCorners</a>;</div> -<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordtype">bool</span> halfPixel = resizeDescriptor-><a class="code" href="structarmnn_1_1_resize_descriptor.html#a4022d5107338aaf5eb7abebf78a1360b">m_HalfPixelCenters</a>;</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>  <span class="comment">// Go from ArmNN parameters (outputShape, halfPixel and alignedCorners)</span></div> -<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="comment">// to TOSA parameters (scale, offset and border)</span></div> -<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="comment">// Align corners sets the scaling ratio to (O - 1)/(I - 1) rather than O / I.</span></div> -<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keyword">auto</span> preprocessResizeParameters = [&](<span class="keywordtype">int</span> inputSize, <span class="keywordtype">int</span> outputSize, <span class="keywordtype">int</span>& scale_n, <span class="keywordtype">int</span>& scale_d, <span class="keywordtype">int</span>& offset)</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">// Dimension is length 1, we are just sampling from one value.</span></div> -<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">if</span> (inputSize == 1)</div> -<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  {</div> -<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  scale_n = outputSize;</div> -<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  scale_d = 1;</div> -<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  offset = 0;</div> -<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">return</span>;</div> -<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  }</div> -<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  </div> -<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="comment">// Apply if aligned and capable to be aligned.</span></div> -<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="comment">// Align corners sets the scaling ratio to (OH - 1)/(IH - 1) rather than OH / IH. Same for width.</span></div> -<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordtype">bool</span> applyAligned = alignCorners && (outputSize > 1);</div> -<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  scale_n = applyAligned ? (outputSize - 1) : outputSize;</div> -<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  scale_d = applyAligned ? (inputSize - 1) : inputSize;</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">// Simplify the scales, make sure they are even values.</span></div> -<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordtype">int</span> gcd = std::gcd(scale_n, scale_d);</div> -<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  scale_n = 2 * scale_n / gcd;</div> -<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  scale_d = 2 * scale_d / gcd;</div> -<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  </div> -<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="comment">// If half pixel centers then input and output sampling positions are offset by 1/2 pixel.</span></div> -<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  offset = halfPixel ? (scale_d / 2 - scale_n / 2) : 0;</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">// Reduce the scaling ratio if possible, we know scale_n and scale_d are even</span></div> -<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordflow">if</span> ((offset & 1) == 0)</div> -<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  {</div> -<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  scale_n /= 2;</div> -<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  scale_d /= 2;</div> -<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  offset /= 2;</div> -<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  }</div> -<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  };</div> -<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  </div> -<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordtype">int</span> scale_y_n, scale_y_d, offset_y;</div> -<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordtype">int</span> scale_x_n, scale_x_d, offset_x;</div> -<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  preprocessResizeParameters(inputHeight, outputHeight, scale_y_n, scale_y_d, offset_y);</div> -<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  preprocessResizeParameters(inputWidth, outputWidth, scale_x_n, scale_x_d, offset_x);</div> -<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  </div> -<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keywordtype">int</span> border_y = scale_y_d * (outputHeight - 1) - scale_y_n * (inputHeight - 1) + offset_y;</div> -<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordtype">int</span> border_x = scale_x_d * (outputWidth - 1) - scale_x_n * (inputWidth - 1) + offset_x;</div> -<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  </div> -<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="comment">// [scale_y_n, scale_y_d, scale_x_n, scale_x_d]</span></div> -<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  std::vector<int16_t> scale = { <span class="keyword">static_cast<</span>int16_t<span class="keyword">></span>(scale_y_n),</div> -<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keyword">static_cast<</span>int16_t<span class="keyword">></span>(scale_y_d),</div> -<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keyword">static_cast<</span>int16_t<span class="keyword">></span>(scale_x_n),</div> -<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keyword">static_cast<</span>int16_t<span class="keyword">></span>(scale_x_d) };</div> -<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  </div> -<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="comment">// [offset_y, offset_x]</span></div> -<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  std::vector<int16_t> offset = { <span class="keyword">static_cast<</span>int16_t<span class="keyword">></span>(offset_y),</div> -<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keyword">static_cast<</span>int16_t<span class="keyword">></span>(offset_x) };</div> -<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="comment">// [border_y, border_x]</span></div> -<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  std::vector<int16_t> border = { <span class="keyword">static_cast<</span>int16_t<span class="keyword">></span>(border_y),</div> -<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keyword">static_cast<</span>int16_t<span class="keyword">></span>(border_x) };</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="keyword">auto</span> isInt16Range = [](<span class="keywordtype">int</span> x)</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>  <span class="keywordflow">return</span> (x <= std::numeric_limits<int16_t>::max()) && (x >= std::numeric_limits<int16_t>::min());</div> -<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  };</div> -<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  </div> -<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keywordflow">if</span> (inputs[0]->IsQuantized())</div> -<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  {</div> -<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="comment">// It isn't commonly seen these numbers aren't fit within 16 bits, and won't match TFLite reference.</span></div> -<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordflow">if</span> (!isInt16Range(scale_y_n) || !isInt16Range(scale_y_d) ||</div> -<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  !isInt16Range(scale_x_n) || !isInt16Range(scale_x_d) ||</div> -<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  !isInt16Range(offset_y) || !isInt16Range(offset_x) ||</div> -<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  !isInt16Range(border_y) || !isInt16Range(border_x))</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="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">"ConvertResizeToTosaOperator: stride or offset out of 16 bit range"</span>);</div> -<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  }</div> -<div class="line"><a name="l00137"></a><span class="lineno"> 137</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>  TosaResizeAttribute resizeAttribute(scale, offset, border, mode);</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="keyword">auto</span>* op = <span class="keyword">new</span> TosaSerializationOperator(Op_RESIZE,</div> -<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  Attribute_ResizeAttribute,</div> -<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  &resizeAttribute,</div> -<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  {inputName},</div> -<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  {outputName});</div> -<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  </div> -<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  std::vector<TosaSerializationTensor*> tensors;</div> -<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  </div> -<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="comment">// Only add input tensors if connected layer is an input layer.</span></div> -<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="comment">// As intermediate or constant tensors will be created separately.</span></div> -<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="comment">// There also can't be duplicate tensor.</span></div> -<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keywordflow">if</span>(inputName.find(<span class="stringliteral">"input0_"</span>) != std::string::npos)</div> -<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  {</div> -<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  std::vector<int32_t> inputShape = <a class="code" href="_tosa_operator_utils_8hpp.html#a7d97964a65be4eb4a5b4109904f2e7f7">GetTosaTensorShape</a>(inputs[0]->GetShape());</div> -<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  DType inputDType = <a class="code" href="_tosa_operator_utils_8hpp.html#a45d66f17ad6b0469e469f443b3e03226">ArmNNToDType</a>(inputs[0]->GetDataType());</div> -<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  </div> -<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  tensors.push_back(<span class="keyword">new</span> TosaSerializationTensor(inputName, inputShape, inputDType, {}));</div> -<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  }</div> -<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  </div> -<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  std::vector<int32_t> outputShape = <a class="code" href="_tosa_operator_utils_8hpp.html#a7d97964a65be4eb4a5b4109904f2e7f7">GetTosaTensorShape</a>(outputs[0]->GetShape());</div> -<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  DType outputDType = <a class="code" href="_tosa_operator_utils_8hpp.html#a45d66f17ad6b0469e469f443b3e03226">ArmNNToDType</a>(outputs[0]->GetDataType());</div> -<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  </div> -<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  tensors.push_back(<span class="keyword">new</span> TosaSerializationTensor(outputName, outputShape, outputDType, {}));</div> -<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  </div> -<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="comment">// operatorInputNames/operatorOutputNames ends up being the same as</span></div> -<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="comment">// blockInputNames/blockOutputNames for one-to-one ArmNN to TOSA mappings</span></div> -<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keywordflow">return</span> <span class="keyword">new</span> TosaSerializationBasicBlock(blockName, <span class="comment">// name</span></div> -<div class="line"><a name="l00168"></a><span class="lineno"> 168</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="l00169"></a><span class="lineno"> 169</span>  {op}, <span class="comment">// operators</span></div> -<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  tensors, <span class="comment">// tensors</span></div> -<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  {inputName}, <span class="comment">// inputs</span></div> -<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  {outputName}); <span class="comment">// outputs</span></div> -<div class="line"><a name="l00173"></a><span class="lineno"> 173</span> }</div> +<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  int32_t inputHeight = <span class="keyword">static_cast<</span>int32_t<span class="keyword">></span>(inputs[0]->GetShape()[1]);</div> +<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  int32_t inputWidth = <span class="keyword">static_cast<</span>int32_t<span class="keyword">></span>(inputs[0]->GetShape()[2]);</div> +<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  </div> +<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  int32_t outputHeight = <span class="keyword">static_cast<</span>int32_t<span class="keyword">></span>(resizeDescriptor-><a class="code" href="structarmnn_1_1_resize_descriptor.html#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd">m_TargetHeight</a>);</div> +<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  int32_t outputWidth = <span class="keyword">static_cast<</span>int32_t<span class="keyword">></span>(resizeDescriptor-><a class="code" href="structarmnn_1_1_resize_descriptor.html#adcf5037208faac36c0788239a073f75c">m_TargetWidth</a>);</div> +<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordtype">bool</span> alignCorners = resizeDescriptor-><a class="code" href="structarmnn_1_1_resize_descriptor.html#ae1a4b3b6c60552509b89747cebb900a2">m_AlignCorners</a>;</div> +<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordtype">bool</span> halfPixel = resizeDescriptor-><a class="code" href="structarmnn_1_1_resize_descriptor.html#a4022d5107338aaf5eb7abebf78a1360b">m_HalfPixelCenters</a>;</div> +<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  </div> +<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="comment">// Go from ArmNN parameters (outputShape, halfPixel and alignedCorners)</span></div> +<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="comment">// to TOSA parameters (scale, offset and border)</span></div> +<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="comment">// Align corners sets the scaling ratio to (O - 1)/(I - 1) rather than O / I.</span></div> +<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keyword">auto</span> preprocessResizeParameters = [&](<span class="keywordtype">int</span> inputSize, <span class="keywordtype">int</span> outputSize, <span class="keywordtype">int</span>& scale_n, <span class="keywordtype">int</span>& scale_d, <span class="keywordtype">int</span>& offset)</div> +<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  {</div> +<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="comment">// Dimension is length 1, we are just sampling from one value.</span></div> +<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordflow">if</span> (inputSize == 1)</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>  scale_n = outputSize;</div> +<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  scale_d = 1;</div> +<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  offset = 0;</div> +<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">return</span>;</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>  </div> +<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="comment">// Apply if aligned and capable to be aligned.</span></div> +<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="comment">// Align corners sets the scaling ratio to (OH - 1)/(IH - 1) rather than OH / IH. Same for width.</span></div> +<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordtype">bool</span> applyAligned = alignCorners && (outputSize > 1);</div> +<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  scale_n = applyAligned ? (outputSize - 1) : outputSize;</div> +<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  scale_d = applyAligned ? (inputSize - 1) : inputSize;</div> +<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  </div> +<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="comment">// Simplify the scales, make sure they are even values.</span></div> +<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordtype">int</span> gcd = std::gcd(scale_n, scale_d);</div> +<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  scale_n = 2 * scale_n / gcd;</div> +<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  scale_d = 2 * scale_d / gcd;</div> +<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  </div> +<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="comment">// If half pixel centers then input and output sampling positions are offset by 1/2 pixel.</span></div> +<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  offset = halfPixel ? (scale_d / 2 - scale_n / 2) : 0;</div> +<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  </div> +<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="comment">// Reduce the scaling ratio if possible, we know scale_n and scale_d are even</span></div> +<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">if</span> ((offset & 1) == 0)</div> +<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  {</div> +<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  scale_n /= 2;</div> +<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  scale_d /= 2;</div> +<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  offset /= 2;</div> +<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  }</div> +<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  };</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>  <span class="keywordtype">int</span> scale_y_n, scale_y_d, offset_y;</div> +<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordtype">int</span> scale_x_n, scale_x_d, offset_x;</div> +<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  preprocessResizeParameters(inputHeight, outputHeight, scale_y_n, scale_y_d, offset_y);</div> +<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  preprocessResizeParameters(inputWidth, outputWidth, scale_x_n, scale_x_d, offset_x);</div> +<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  </div> +<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordtype">int</span> border_y = scale_y_d * (outputHeight - 1) - scale_y_n * (inputHeight - 1) + offset_y;</div> +<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordtype">int</span> border_x = scale_x_d * (outputWidth - 1) - scale_x_n * (inputWidth - 1) + offset_x;</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>  <span class="comment">// [scale_y_n, scale_y_d, scale_x_n, scale_x_d]</span></div> +<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  std::vector<int16_t> scale = { <span class="keyword">static_cast<</span>int16_t<span class="keyword">></span>(scale_y_n),</div> +<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keyword">static_cast<</span>int16_t<span class="keyword">></span>(scale_y_d),</div> +<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keyword">static_cast<</span>int16_t<span class="keyword">></span>(scale_x_n),</div> +<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keyword">static_cast<</span>int16_t<span class="keyword">></span>(scale_x_d) };</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>  <span class="comment">// [offset_y, offset_x]</span></div> +<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  std::vector<int16_t> offset = { <span class="keyword">static_cast<</span>int16_t<span class="keyword">></span>(offset_y),</div> +<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keyword">static_cast<</span>int16_t<span class="keyword">></span>(offset_x) };</div> +<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="comment">// [border_y, border_x]</span></div> +<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  std::vector<int16_t> border = { <span class="keyword">static_cast<</span>int16_t<span class="keyword">></span>(border_y),</div> +<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keyword">static_cast<</span>int16_t<span class="keyword">></span>(border_x) };</div> +<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  </div> +<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keyword">auto</span> isInt16Range = [](<span class="keywordtype">int</span> x)</div> +<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  {</div> +<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keywordflow">return</span> (x <= std::numeric_limits<int16_t>::max()) && (x >= std::numeric_limits<int16_t>::min());</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>  </div> +<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordflow">if</span> (inputs[0]->IsQuantized())</div> +<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  {</div> +<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="comment">// It isn't commonly seen these numbers aren't fit within 16 bits, and won't match TFLite reference.</span></div> +<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordflow">if</span> (!isInt16Range(scale_y_n) || !isInt16Range(scale_y_d) ||</div> +<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  !isInt16Range(scale_x_n) || !isInt16Range(scale_x_d) ||</div> +<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  !isInt16Range(offset_y) || !isInt16Range(offset_x) ||</div> +<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  !isInt16Range(border_y) || !isInt16Range(border_x))</div> +<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  {</div> +<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">"ConvertResizeToTosaOperator: stride or offset out of 16 bit range"</span>);</div> +<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  }</div> +<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  }</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>  TosaResizeAttribute resizeAttribute(scale, offset, border, mode);</div> +<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  </div> +<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keyword">auto</span>* op = <span class="keyword">new</span> TosaSerializationOperator(Op_RESIZE,</div> +<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  Attribute_ResizeAttribute,</div> +<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  &resizeAttribute,</div> +<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  {inputName},</div> +<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  {outputName});</div> +<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  </div> +<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  std::vector<TosaSerializationTensor*> tensors;</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>  <span class="comment">// Only add input tensors if connected layer is an input layer.</span></div> +<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="comment">// As intermediate or constant tensors will be created separately.</span></div> +<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="comment">// There also can't be duplicate tensor.</span></div> +<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordflow">if</span>(inputName.find(<span class="stringliteral">"input_"</span>) != std::string::npos)</div> +<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  {</div> +<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  std::vector<int32_t> inputShape = <a class="code" href="_tosa_operator_utils_8hpp.html#a7d97964a65be4eb4a5b4109904f2e7f7">GetTosaTensorShape</a>(inputs[0]->GetShape());</div> +<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  DType inputDType = <a class="code" href="_tosa_operator_utils_8hpp.html#a45d66f17ad6b0469e469f443b3e03226">ArmNNToDType</a>(inputs[0]->GetDataType());</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>  tensors.push_back(<span class="keyword">new</span> TosaSerializationTensor(inputName, inputShape, inputDType, {}));</div> +<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  }</div> +<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  </div> +<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  std::vector<int32_t> outputShape = <a class="code" href="_tosa_operator_utils_8hpp.html#a7d97964a65be4eb4a5b4109904f2e7f7">GetTosaTensorShape</a>(outputs[0]->GetShape());</div> +<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  DType outputDType = <a class="code" href="_tosa_operator_utils_8hpp.html#a45d66f17ad6b0469e469f443b3e03226">ArmNNToDType</a>(outputs[0]->GetDataType());</div> +<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  </div> +<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  tensors.push_back(<span class="keyword">new</span> TosaSerializationTensor(outputName, outputShape, outputDType, {}));</div> +<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  </div> +<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="comment">// operatorInputNames/operatorOutputNames ends up being the same as</span></div> +<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="comment">// blockInputNames/blockOutputNames for one-to-one ArmNN to TOSA mappings</span></div> +<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keywordflow">return</span> <span class="keyword">new</span> TosaSerializationBasicBlock(blockName, <span class="comment">// name</span></div> +<div class="line"><a name="l00164"></a><span class="lineno"> 164</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="l00165"></a><span class="lineno"> 165</span>  {op}, <span class="comment">// operators</span></div> +<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  tensors, <span class="comment">// tensors</span></div> +<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  {inputName}, <span class="comment">// inputs</span></div> +<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  {outputName}); <span class="comment">// outputs</span></div> +<div class="line"><a name="l00169"></a><span class="lineno"> 169</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#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>, <a class="el" href="_tosa_operator_utils_8hpp_source.html#l00100">GetUniqueTosaMappingID()</a>, <a class="el" href="_descriptors_8hpp_source.html#l01016">ResizeDescriptor::m_AlignCorners</a>, <a class="el" href="_descriptors_8hpp_source.html#l01014">ResizeDescriptor::m_DataLayout</a>, <a class="el" href="_descriptors_8hpp_source.html#l01018">ResizeDescriptor::m_HalfPixelCenters</a>, <a class="el" href="_descriptors_8hpp_source.html#l01012">ResizeDescriptor::m_Method</a>, <a class="el" href="_descriptors_8hpp_source.html#l01009">ResizeDescriptor::m_TargetHeight</a>, and <a class="el" href="_descriptors_8hpp_source.html#l01007">ResizeDescriptor::m_TargetWidth</a>.</p> +<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#l00109">GenerateUniqueInputName()</a>, <a class="el" href="_tosa_operator_utils_8hpp_source.html#l00120">GenerateUniqueOutputName()</a>, <a class="el" href="_layer_8hpp_source.html#l00337">Layer::GetInputSlot()</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>, <a class="el" href="_descriptors_8hpp_source.html#l01016">ResizeDescriptor::m_AlignCorners</a>, <a class="el" href="_descriptors_8hpp_source.html#l01014">ResizeDescriptor::m_DataLayout</a>, <a class="el" href="_descriptors_8hpp_source.html#l01018">ResizeDescriptor::m_HalfPixelCenters</a>, <a class="el" href="_descriptors_8hpp_source.html#l01012">ResizeDescriptor::m_Method</a>, <a class="el" href="_descriptors_8hpp_source.html#l01009">ResizeDescriptor::m_TargetHeight</a>, and <a class="el" href="_descriptors_8hpp_source.html#l01007">ResizeDescriptor::m_TargetWidth</a>.</p> <p class="reference">Referenced by <a class="el" href="_tosa_mappings_8cpp_source.html#l00018">GetTosaMapping()</a>.</p> @@ -321,27 +317,24 @@ Functions</h2></td></tr> <div class="ttc" id="astructarmnn_1_1_resize_descriptor_html_a4022d5107338aaf5eb7abebf78a1360b"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.html#a4022d5107338aaf5eb7abebf78a1360b">armnn::ResizeDescriptor::m_HalfPixelCenters</a></div><div class="ttdeci">bool m_HalfPixelCenters</div><div class="ttdoc">Half Pixel Centers.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01018">Descriptors.hpp:1018</a></div></div> <div class="ttc" id="astructarmnn_1_1_resize_descriptor_html_a46c3fa15c46fb0d1dcdc24d0ea5cb5cd"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.html#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd">armnn::ResizeDescriptor::m_TargetHeight</a></div><div class="ttdeci">uint32_t m_TargetHeight</div><div class="ttdoc">Target height value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01009">Descriptors.hpp:1009</a></div></div> <div class="ttc" id="astructarmnn_1_1_resize_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::ResizeDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01014">Descriptors.hpp:1014</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="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="astructarmnn_1_1_resize_descriptor_html_a869254cb56968986a78a79e1d6d4a86b"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.html#a869254cb56968986a78a79e1d6d4a86b">armnn::ResizeDescriptor::m_Method</a></div><div class="ttdeci">ResizeMethod m_Method</div><div class="ttdoc">The Interpolation method to use (Bilinear, NearestNeighbor).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01012">Descriptors.hpp:1012</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="aclassarmnn_1_1_invalid_argument_exception_html"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00080">Exceptions.hpp:80</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="astructarmnn_1_1_resize_descriptor_html_adcf5037208faac36c0788239a073f75c"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.html#adcf5037208faac36c0788239a073f75c">armnn::ResizeDescriptor::m_TargetWidth</a></div><div class="ttdeci">uint32_t m_TargetWidth</div><div class="ttdoc">Target width value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01007">Descriptors.hpp:1007</a></div></div> <div class="ttc" id="astructarmnn_1_1_resize_descriptor_html_ae1a4b3b6c60552509b89747cebb900a2"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.html#ae1a4b3b6c60552509b89747cebb900a2">armnn::ResizeDescriptor::m_AlignCorners</a></div><div class="ttdeci">bool m_AlignCorners</div><div class="ttdoc">Aligned corners.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01016">Descriptors.hpp:1016</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> +<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_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> <!-- 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" 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