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96<div class="title">ResizeOperator.cpp</div> </div>
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98<div class="contents">
99<a href="_resize_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>
100<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2023-2024 Arm Ltd and Contributors. All rights reserved.</span></div>
101<div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div>
102<div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div>
103<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="comment">// Copyright © 2020, 2023 The TensorFlow Authors. All Rights Reserved.</span></div>
104<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="comment">// SPDX-License-Identifier: Apache-2.0</span></div>
105<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="comment">//</span></div>
106<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160; </div>
107<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &lt;numeric&gt;</span></div>
108<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_resize_operator_8hpp.html">ResizeOperator.hpp</a>&quot;</span></div>
109<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160; </div>
110<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="comment">// This function is paraphrased from:</span></div>
111<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="comment">// tensorflow/compiler/mlir/tosa/transforms/legalize_common.cc from function convertResizeOp</span></div>
112<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="comment">// tensorflow/lite/kernels/internal/reference/resize_utils.h</span></div>
113<div class="line"><a name="l00015"></a><span class="lineno"><a class="line" href="_resize_operator_8hpp.html#a2d3025955bdbf8fa2663b4656aebe410"> 15</a></span>&#160;TosaSerializationBasicBlock* <a class="code" href="_resize_operator_8cpp.html#a181f41784979fd968c2cd959f0dab64e">ConvertResizeToTosaOperator</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.html">Layer</a>* layer,</div>
114<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160; <span class="keyword">const</span> std::vector&lt;const TensorInfo*&gt;&amp; inputs,</div>
115<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160; <span class="keyword">const</span> std::vector&lt;const TensorInfo*&gt;&amp; outputs,</div>
116<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_resize_descriptor.html">ResizeDescriptor</a>* resizeDescriptor)</div>
117<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;{</div>
118<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160; <a class="code" href="_exceptions_8hpp.html#a5b0cd1f24b12298894d6367f186ea6dc">ARMNN_THROW_INVALIDARG_MSG_IF_FALSE</a>( inputs.size() == 1,</div>
119<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; <span class="stringliteral">&quot;ConvertResizeToTosaOperator: Resize must have only one input.&quot;</span> );</div>
120<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; <a class="code" href="_exceptions_8hpp.html#a5b0cd1f24b12298894d6367f186ea6dc">ARMNN_THROW_INVALIDARG_MSG_IF_FALSE</a>( resizeDescriptor-&gt;<a class="code" href="structarmnn_1_1_resize_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == DataLayout::NHWC,</div>
121<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; <span class="stringliteral">&quot;ConvertResizeToTosaOperator: NCHW not supported.&quot;</span>);</div>
122<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; </div>
123<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; ResizeMode mode;</div>
124<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; <span class="keywordflow">if</span> (resizeDescriptor-&gt;<a class="code" href="structarmnn_1_1_resize_descriptor.html#a869254cb56968986a78a79e1d6d4a86b">m_Method</a> == ResizeMethod::NearestNeighbor)</div>
125<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; {</div>
126<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; mode = tosa::ResizeMode_NEAREST;</div>
127<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; }</div>
128<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span> (resizeDescriptor-&gt;<a class="code" href="structarmnn_1_1_resize_descriptor.html#a869254cb56968986a78a79e1d6d4a86b">m_Method</a> == ResizeMethod::Bilinear)</div>
129<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; {</div>
130<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; mode = tosa::ResizeMode_BILINEAR;</div>
131<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a>(<span class="stringliteral">&quot;ConvertResizeToTosaOperator: Unimplemented Resize method.&quot;</span>);</div>
132<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; }</div>
133<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; <span class="keywordflow">else</span></div>
134<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; {</div>
135<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a>(<span class="stringliteral">&quot;ConvertResizeToTosaOperator: Unsupported Resize method.&quot;</span>);</div>
136<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; }</div>
137<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; </div>
138<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; std::string inputName = std::string(<span class="stringliteral">&quot;input_&quot;</span>);</div>
139<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; std::string outputName = std::string(<span class="stringliteral">&quot;output0_&quot;</span>);</div>
140<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; std::string blockName = std::string(<span class="stringliteral">&quot;Op_RESIZE_block_&quot;</span>) + <a class="code" href="_tosa_operator_utils_8hpp.html#aadc5d73bd0cb81999bcfdc62bce020e8">GetUniqueTosaMappingID</a>();</div>
141<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; </div>
142<div class="line"><a name="l00044"></a><span class="lineno"> 44</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>
143<div class="line"><a name="l00045"></a><span class="lineno"> 45</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>
144<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <span class="keywordflow">if</span>(layer != <span class="keyword">nullptr</span>)</div>
145<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; {</div>
146<div class="line"><a name="l00048"></a><span class="lineno"> 48</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>
147<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; outputName = <a class="code" href="_tosa_operator_utils_8hpp.html#a1e5b1f8dcc21f10bc7b0d8517e05049d">GenerateUniqueOutputName</a>(*layer);</div>
148<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; }</div>
149<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; </div>
150<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; int32_t inputHeight = <span class="keyword">static_cast&lt;</span>int32_t<span class="keyword">&gt;</span>(inputs[0]-&gt;GetShape()[1]);</div>
151<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; int32_t inputWidth = <span class="keyword">static_cast&lt;</span>int32_t<span class="keyword">&gt;</span>(inputs[0]-&gt;GetShape()[2]);</div>
152<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; </div>
153<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; int32_t outputHeight = <span class="keyword">static_cast&lt;</span>int32_t<span class="keyword">&gt;</span>(resizeDescriptor-&gt;<a class="code" href="structarmnn_1_1_resize_descriptor.html#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd">m_TargetHeight</a>);</div>
154<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; int32_t outputWidth = <span class="keyword">static_cast&lt;</span>int32_t<span class="keyword">&gt;</span>(resizeDescriptor-&gt;<a class="code" href="structarmnn_1_1_resize_descriptor.html#adcf5037208faac36c0788239a073f75c">m_TargetWidth</a>);</div>
155<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <span class="keywordtype">bool</span> alignCorners = resizeDescriptor-&gt;<a class="code" href="structarmnn_1_1_resize_descriptor.html#ae1a4b3b6c60552509b89747cebb900a2">m_AlignCorners</a>;</div>
156<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <span class="keywordtype">bool</span> halfPixel = resizeDescriptor-&gt;<a class="code" href="structarmnn_1_1_resize_descriptor.html#a4022d5107338aaf5eb7abebf78a1360b">m_HalfPixelCenters</a>;</div>
157<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; </div>
158<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; <span class="comment">// Go from ArmNN parameters (outputShape, halfPixel and alignedCorners)</span></div>
159<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <span class="comment">// to TOSA parameters (scale, offset and border)</span></div>
160<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <span class="comment">// Align corners sets the scaling ratio to (O - 1)/(I - 1) rather than O / I.</span></div>
161<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <span class="keyword">auto</span> preprocessResizeParameters = [&amp;](<span class="keywordtype">int</span> inputSize, <span class="keywordtype">int</span> outputSize, <span class="keywordtype">int</span>&amp; scale_n, <span class="keywordtype">int</span>&amp; scale_d, <span class="keywordtype">int</span>&amp; offset)</div>
162<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; {</div>
163<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <span class="comment">// Dimension is length 1, we are just sampling from one value.</span></div>
164<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="keywordflow">if</span> (inputSize == 1)</div>
165<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; {</div>
166<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; scale_n = outputSize;</div>
167<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; scale_d = 1;</div>
168<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; offset = 0;</div>
169<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <span class="keywordflow">return</span>;</div>
170<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; }</div>
171<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; </div>
172<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <span class="comment">// Apply if aligned and capable to be aligned.</span></div>
173<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="comment">// Align corners sets the scaling ratio to (OH - 1)/(IH - 1) rather than OH / IH. Same for width.</span></div>
174<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <span class="keywordtype">bool</span> applyAligned = alignCorners &amp;&amp; (outputSize &gt; 1);</div>
175<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; scale_n = applyAligned ? (outputSize - 1) : outputSize;</div>
176<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; scale_d = applyAligned ? (inputSize - 1) : inputSize;</div>
177<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; </div>
178<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <span class="comment">// Simplify the scales, make sure they are even values.</span></div>
179<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; <span class="keywordtype">int</span> gcd = std::gcd(scale_n, scale_d);</div>
180<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; scale_n = 2 * scale_n / gcd;</div>
181<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; scale_d = 2 * scale_d / gcd;</div>
182<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; </div>
183<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <span class="comment">// If half pixel centers then input and output sampling positions are offset by 1/2 pixel.</span></div>
184<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; offset = halfPixel ? (scale_d / 2 - scale_n / 2) : 0;</div>
185<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; </div>
186<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <span class="comment">// Reduce the scaling ratio if possible, we know scale_n and scale_d are even</span></div>
187<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="keywordflow">if</span> ((offset &amp; 1) == 0)</div>
188<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; {</div>
189<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; scale_n /= 2;</div>
190<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; scale_d /= 2;</div>
191<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; offset /= 2;</div>
192<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; }</div>
193<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; };</div>
194<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; </div>
195<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <span class="keywordtype">int</span> scale_y_n, scale_y_d, offset_y;</div>
196<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <span class="keywordtype">int</span> scale_x_n, scale_x_d, offset_x;</div>
197<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; preprocessResizeParameters(inputHeight, outputHeight, scale_y_n, scale_y_d, offset_y);</div>
198<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; preprocessResizeParameters(inputWidth, outputWidth, scale_x_n, scale_x_d, offset_x);</div>
199<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; </div>
200<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <span class="keywordtype">int</span> border_y = scale_y_d * (outputHeight - 1) - scale_y_n * (inputHeight - 1) + offset_y;</div>
201<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <span class="keywordtype">int</span> border_x = scale_x_d * (outputWidth - 1) - scale_x_n * (inputWidth - 1) + offset_x;</div>
202<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; </div>
203<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; <span class="comment">// [scale_y_n, scale_y_d, scale_x_n, scale_x_d]</span></div>
204<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; std::vector&lt;int16_t&gt; scale = { <span class="keyword">static_cast&lt;</span>int16_t<span class="keyword">&gt;</span>(scale_y_n),</div>
205<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <span class="keyword">static_cast&lt;</span>int16_t<span class="keyword">&gt;</span>(scale_y_d),</div>
206<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <span class="keyword">static_cast&lt;</span>int16_t<span class="keyword">&gt;</span>(scale_x_n),</div>
207<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; <span class="keyword">static_cast&lt;</span>int16_t<span class="keyword">&gt;</span>(scale_x_d) };</div>
208<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; </div>
209<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <span class="comment">// [offset_y, offset_x]</span></div>
210<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; std::vector&lt;int16_t&gt; offset = { <span class="keyword">static_cast&lt;</span>int16_t<span class="keyword">&gt;</span>(offset_y),</div>
211<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <span class="keyword">static_cast&lt;</span>int16_t<span class="keyword">&gt;</span>(offset_x) };</div>
212<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; <span class="comment">// [border_y, border_x]</span></div>
213<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; std::vector&lt;int16_t&gt; border = { <span class="keyword">static_cast&lt;</span>int16_t<span class="keyword">&gt;</span>(border_y),</div>
214<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; <span class="keyword">static_cast&lt;</span>int16_t<span class="keyword">&gt;</span>(border_x) };</div>
215<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; </div>
216<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; <span class="keyword">auto</span> isInt16Range = [](<span class="keywordtype">int</span> x)</div>
217<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; {</div>
218<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <span class="keywordflow">return</span> (x &lt;= std::numeric_limits&lt;int16_t&gt;::max()) &amp;&amp; (x &gt;= std::numeric_limits&lt;int16_t&gt;::min());</div>
219<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; };</div>
220<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; </div>
221<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="keywordflow">if</span> (inputs[0]-&gt;IsQuantized())</div>
222<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; {</div>
223<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; <span class="comment">// It isn&#39;t commonly seen these numbers aren&#39;t fit within 16 bits, and won&#39;t match TFLite reference.</span></div>
224<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; <span class="keywordflow">if</span> (!isInt16Range(scale_y_n) || !isInt16Range(scale_y_d) ||</div>
225<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; !isInt16Range(scale_x_n) || !isInt16Range(scale_x_d) ||</div>
226<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; !isInt16Range(offset_y) || !isInt16Range(offset_x) ||</div>
227<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; !isInt16Range(border_y) || !isInt16Range(border_x))</div>
228<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; {</div>
229<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">&quot;ConvertResizeToTosaOperator: stride or offset out of 16 bit range&quot;</span>);</div>
230<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; }</div>
231<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; }</div>
232<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; </div>
233<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; TosaResizeAttribute resizeAttribute(scale, offset, border, mode);</div>
234<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; </div>
235<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; <span class="keyword">auto</span>* op = <span class="keyword">new</span> TosaSerializationOperator(Op_RESIZE,</div>
236<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; Attribute_ResizeAttribute,</div>
237<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; &amp;resizeAttribute,</div>
238<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; {inputName},</div>
239<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; {outputName});</div>
240<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; </div>
241<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; std::vector&lt;TosaSerializationTensor*&gt; tensors;</div>
242<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; </div>
243<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; <span class="comment">// Only add input tensors if connected layer is an input layer.</span></div>
244<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <span class="comment">// As intermediate or constant tensors will be created separately.</span></div>
245<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; <span class="comment">// There also can&#39;t be duplicate tensor.</span></div>
246<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <span class="keywordflow">if</span>(inputName.find(<span class="stringliteral">&quot;input_&quot;</span>) != std::string::npos)</div>
247<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; {</div>
248<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; std::vector&lt;int32_t&gt; inputShape = <a class="code" href="_tosa_operator_utils_8hpp.html#a7d97964a65be4eb4a5b4109904f2e7f7">GetTosaTensorShape</a>(inputs[0]-&gt;GetShape());</div>
249<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; DType inputDType = <a class="code" href="_tosa_operator_utils_8hpp.html#a45d66f17ad6b0469e469f443b3e03226">ArmNNToDType</a>(inputs[0]-&gt;GetDataType());</div>
250<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; </div>
251<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; tensors.push_back(<span class="keyword">new</span> TosaSerializationTensor(inputName, inputShape, inputDType, {}));</div>
252<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; }</div>
253<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; </div>
254<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; std::vector&lt;int32_t&gt; outputShape = <a class="code" href="_tosa_operator_utils_8hpp.html#a7d97964a65be4eb4a5b4109904f2e7f7">GetTosaTensorShape</a>(outputs[0]-&gt;GetShape());</div>
255<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; DType outputDType = <a class="code" href="_tosa_operator_utils_8hpp.html#a45d66f17ad6b0469e469f443b3e03226">ArmNNToDType</a>(outputs[0]-&gt;GetDataType());</div>
256<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; </div>
257<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; tensors.push_back(<span class="keyword">new</span> TosaSerializationTensor(outputName, outputShape, outputDType, {}));</div>
258<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; </div>
259<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; <span class="comment">// operatorInputNames/operatorOutputNames ends up being the same as</span></div>
260<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; <span class="comment">// blockInputNames/blockOutputNames for one-to-one ArmNN to TOSA mappings</span></div>
261<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; <span class="keywordflow">return</span> <span class="keyword">new</span> TosaSerializationBasicBlock(blockName, <span class="comment">// name</span></div>
262<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; <a class="code" href="_tosa_operator_utils_8hpp.html#a28514b014a4fe0841044f1868064bc65">mainName</a>, <span class="comment">// region name</span></div>
263<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; {op}, <span class="comment">// operators</span></div>
264<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; tensors, <span class="comment">// tensors</span></div>
265<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; {inputName}, <span class="comment">// inputs</span></div>
266<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; {outputName}); <span class="comment">// outputs</span></div>
267<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160;}</div>
268</div><!-- fragment --></div><!-- contents -->
269</div><!-- doc-content -->
270<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>
271<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>
272<div class="ttc" id="astructarmnn_1_1_resize_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.html">armnn::ResizeDescriptor</a></div><div class="ttdoc">A ResizeDescriptor for the ResizeLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00985">Descriptors.hpp:985</a></div></div>
273<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>
274<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>
275<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>
276<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>
277<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>
278<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>
279<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>
280<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>
281<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>
282<div class="ttc" id="a_resize_operator_8hpp_html"><div class="ttname"><a href="_resize_operator_8hpp.html">ResizeOperator.hpp</a></div></div>
283<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>
284<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>
285<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>
286<div class="ttc" id="a_resize_operator_8cpp_html_a181f41784979fd968c2cd959f0dab64e"><div class="ttname"><a href="_resize_operator_8cpp.html#a181f41784979fd968c2cd959f0dab64e">ConvertResizeToTosaOperator</a></div><div class="ttdeci">TosaSerializationBasicBlock * ConvertResizeToTosaOperator(const Layer *layer, const std::vector&lt; const TensorInfo * &gt; &amp;inputs, const std::vector&lt; const TensorInfo * &gt; &amp;outputs, const ResizeDescriptor *resizeDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_resize_operator_8cpp_source.html#l00015">ResizeOperator.cpp:15</a></div></div>
287<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>
288<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>
289<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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293 <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.html">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.html">backends</a></li><li class="navelem"><a class="el" href="dir_3eeadfb79f8e6e284b92aba47a7684a1.html">tosaCommon</a></li><li class="navelem"><a class="el" href="dir_44a5c203710327e1068d2575c20cb7c6.html">operatorMappings</a></li><li class="navelem"><a class="el" href="_resize_operator_8cpp.html">ResizeOperator.cpp</a></li>
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