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Nikhil Raj | 1dc83fe | 2024-05-16 09:47:51 +0100 | [diff] [blame] | 39 |  <span id="projectnumber">24.05</span> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 40 | </div> |
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| 96 | <div class="title">Stack.cpp</div> </div> |
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| 98 | <div class="contents"> |
| 99 | <a href="_stack_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> <span class="comment">//</span></div> |
| 100 | <div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div> |
| 101 | <div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div> |
| 102 | <div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div> |
| 103 | <div class="line"><a name="l00005"></a><span class="lineno"> 5</span>  </div> |
| 104 | <div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_stack_8hpp.html">Stack.hpp</a>"</span></div> |
| 105 | <div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_ref_workload_utils_8hpp.html">RefWorkloadUtils.hpp</a>"</span></div> |
| 106 | <div class="line"><a name="l00008"></a><span class="lineno"> 8</span>  </div> |
| 107 | <div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div> |
| 108 | <div class="line"><a name="l00010"></a><span class="lineno"> 10</span> {</div> |
| 109 | <div class="line"><a name="l00011"></a><span class="lineno"> 11</span>  </div> |
| 110 | <div class="line"><a name="l00012"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ac245fda400649db10eed0dc96c1b5c37"> 12</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#ac245fda400649db10eed0dc96c1b5c37">Stack</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stack_queue_descriptor.html">StackQueueDescriptor</a>& data,</div> |
| 111 | <div class="line"><a name="l00013"></a><span class="lineno"> 13</span>  std::vector<std::unique_ptr<<a class="code" href="classarmnn_1_1_decoder.html">Decoder<float></a>>>& inputs,</div> |
| 112 | <div class="line"><a name="l00014"></a><span class="lineno"> 14</span>  <a class="code" href="classarmnn_1_1_encoder.html">Encoder<float></a>& output,</div> |
| 113 | <div class="line"><a name="l00015"></a><span class="lineno"> 15</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputInfo,</div> |
| 114 | <div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputInfo)</div> |
| 115 | <div class="line"><a name="l00017"></a><span class="lineno"> 17</span> {</div> |
| 116 | <div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputNumDims = outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div> |
| 117 | <div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputNumDims = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div> |
| 118 | <div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  </div> |
| 119 | <div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>& outputDims = outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div> |
| 120 | <div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>& inputDims = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div> |
| 121 | <div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  </div> |
| 122 | <div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> axis = data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_stack_descriptor.html#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a>;</div> |
| 123 | <div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  </div> |
| 124 | <div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="comment">// Can perform a simple concatenation when axis == 0</span></div> |
| 125 | <div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keywordflow">if</span> (!axis)</div> |
| 126 | <div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  {</div> |
| 127 | <div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numInputs = data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_stack_descriptor.html#aed6086070440ceb94129bef06f70173f">m_NumInputs</a>;</div> |
| 128 | <div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputLength = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>();</div> |
| 129 | <div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  </div> |
| 130 | <div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputIdx=0; inputIdx<numInputs; ++inputIdx)</div> |
| 131 | <div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  {</div> |
| 132 | <div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> elmt=0; elmt<inputLength; ++elmt)</div> |
| 133 | <div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  {</div> |
| 134 | <div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  (*inputs[inputIdx])[elmt];</div> |
| 135 | <div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  output[(inputIdx * inputLength) + elmt];</div> |
| 136 | <div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  output.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>(inputs[inputIdx]->Get());</div> |
| 137 | <div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  }</div> |
| 138 | <div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  }</div> |
| 139 | <div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keywordflow">return</span>;</div> |
| 140 | <div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  }</div> |
| 141 | <div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  </div> |
| 142 | <div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> iNumTensors = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(data.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>.size());</div> |
| 143 | <div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> iBatchSize = inputDims[0];</div> |
| 144 | <div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> iChannels = (inputNumDims > 1) ? inputDims[1] : 1;</div> |
| 145 | <div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> iHeight = (inputNumDims > 2) ? inputDims[2] : 1;</div> |
| 146 | <div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> iWidth = (inputNumDims > 3) ? inputDims[3] : 1;</div> |
| 147 | <div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  </div> |
| 148 | <div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> oBatchSize = outputDims[1];</div> |
| 149 | <div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> oChannels = (outputNumDims > 2) ? outputDims[2] : 1;</div> |
| 150 | <div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> oHeight = (outputNumDims > 3) ? outputDims[3] : 1;</div> |
| 151 | <div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> oWidth = (outputNumDims > 4) ? outputDims[4] : 1;</div> |
| 152 | <div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  </div> |
| 153 | <div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="comment">// Array to store the input coordinates</span></div> |
| 154 | <div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="comment">// iCoordinates[0] = i, iCoordinates[1] = bi, iCoordinates[2] = ci</span></div> |
| 155 | <div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="comment">// iCoordinates[3] = hi, iCoordinates[4] = wi, iCoordinates[5] = 0</span></div> |
| 156 | <div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="comment">// iCoordinates[5] will be always zero and used for not incrementing</span></div> |
| 157 | <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="comment">// the output when the input has less than 4 dimensions</span></div> |
| 158 | <div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  std::array<unsigned int, 6> iCoordinates{ 0 };</div> |
| 159 | <div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  </div> |
| 160 | <div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="comment">// Array of pointers used to map the output coordinates to the input ones, in accordance with the axis</span></div> |
| 161 | <div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="comment">// This array is initialized with &iCoordinates[5] since this will be always zero</span></div> |
| 162 | <div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  std::array<unsigned int *, 5> oCoordinates = { &iCoordinates[5],</div> |
| 163 | <div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  &iCoordinates[5],</div> |
| 164 | <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  &iCoordinates[5],</div> |
| 165 | <div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  &iCoordinates[5],</div> |
| 166 | <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  &iCoordinates[5] };</div> |
| 167 | <div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  </div> |
| 168 | <div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="comment">// Set the axis coordinate</span></div> |
| 169 | <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  oCoordinates[axis] = &iCoordinates[0];</div> |
| 170 | <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  </div> |
| 171 | <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="comment">// Map the output coordinates, accounting for the axis</span></div> |
| 172 | <div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dim_shift = 0;</div> |
| 173 | <div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dim = 0; dim < inputNumDims; ++dim)</div> |
| 174 | <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  {</div> |
| 175 | <div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordflow">if</span>(dim == axis)</div> |
| 176 | <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  {</div> |
| 177 | <div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  dim_shift++;</div> |
| 178 | <div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  }</div> |
| 179 | <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  oCoordinates[dim + dim_shift] = &iCoordinates[dim + 1];</div> |
| 180 | <div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  }</div> |
| 181 | <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  </div> |
| 182 | <div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="comment">// Alias for the input coordinates</span></div> |
| 183 | <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> &i = iCoordinates[0];</div> |
| 184 | <div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> &bi = iCoordinates[1];</div> |
| 185 | <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> &ci = iCoordinates[2];</div> |
| 186 | <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> &hi = iCoordinates[3];</div> |
| 187 | <div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> &wi = iCoordinates[4];</div> |
| 188 | <div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  </div> |
| 189 | <div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="comment">// Alias for the output coordinates</span></div> |
| 190 | <div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> &o = *(oCoordinates[0]);</div> |
| 191 | <div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> &bo = *(oCoordinates[1]);</div> |
| 192 | <div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> &co = *(oCoordinates[2]);</div> |
| 193 | <div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> &ho = *(oCoordinates[3]);</div> |
| 194 | <div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> &wo = *(oCoordinates[4]);</div> |
| 195 | <div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  </div> |
| 196 | <div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="comment">// Stack tensors</span></div> |
| 197 | <div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keywordflow">for</span>(; i < iNumTensors; ++(i))</div> |
| 198 | <div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  {</div> |
| 199 | <div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordflow">for</span>(bi = 0; bi < iBatchSize; ++(bi))</div> |
| 200 | <div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  {</div> |
| 201 | <div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordflow">for</span>(ci = 0; ci < iChannels; ++(ci))</div> |
| 202 | <div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  {</div> |
| 203 | <div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordflow">for</span>(hi = 0; hi < iHeight; ++(hi))</div> |
| 204 | <div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  {</div> |
| 205 | <div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordflow">for</span>(wi = 0; wi < iWidth; ++(wi))</div> |
| 206 | <div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  {</div> |
| 207 | <div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  output[o * oWidth * oHeight * oChannels * oBatchSize +</div> |
| 208 | <div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  bo * oWidth * oHeight * oChannels +</div> |
| 209 | <div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  co * oWidth * oHeight +</div> |
| 210 | <div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  ho * oWidth +</div> |
| 211 | <div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  wo];</div> |
| 212 | <div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  </div> |
| 213 | <div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  output.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>(inputs[i]->Get());</div> |
| 214 | <div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  </div> |
| 215 | <div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  ++(*(inputs[i]));</div> |
| 216 | <div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  }</div> |
| 217 | <div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  }</div> |
| 218 | <div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  }</div> |
| 219 | <div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  }</div> |
| 220 | <div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  }</div> |
| 221 | <div class="line"><a name="l00123"></a><span class="lineno"> 123</span> }</div> |
| 222 | <div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  </div> |
| 223 | <div class="line"><a name="l00125"></a><span class="lineno"> 125</span> } <span class="comment">// namespace armnn</span></div> |
| 224 | </div><!-- fragment --></div><!-- contents --> |
| 225 | </div><!-- doc-content --> |
| 226 | <div class="ttc" id="aclassarmnn_1_1_decoder_html"><div class="ttname"><a href="classarmnn_1_1_decoder.html">armnn::Decoder< float ></a></div></div> |
Nikhil Raj | 38b600d | 2024-02-15 15:02:19 +0000 | [diff] [blame] | 227 | <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00198">Tensor.hpp:198</a></div></div> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 228 | <div class="ttc" id="aclassarmnn_1_1_encoder_html_ae3b62b846a9c239f332830b9e36030eb"><div class="ttname"><a href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">armnn::Encoder::Set</a></div><div class="ttdeci">virtual void Set(IType right)=0</div></div> |
| 229 | <div class="ttc" id="astructarmnn_1_1_stack_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_stack_queue_descriptor.html">armnn::StackQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00152">WorkloadData.hpp:152</a></div></div> |
| 230 | <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> |
Nikhil Raj | 38b600d | 2024-02-15 15:02:19 +0000 | [diff] [blame] | 231 | <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00197">Tensor.hpp:197</a></div></div> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 232 | <div class="ttc" id="anamespacearmnn_html_ac245fda400649db10eed0dc96c1b5c37"><div class="ttname"><a href="namespacearmnn.html#ac245fda400649db10eed0dc96c1b5c37">armnn::Stack</a></div><div class="ttdeci">void Stack(const StackQueueDescriptor &data, std::vector< std::unique_ptr< Decoder< float >>> &inputs, Encoder< float > &output, const TensorInfo &inputInfo, const TensorInfo &outputInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_stack_8cpp_source.html#l00012">Stack.cpp:12</a></div></div> |
| 233 | <div class="ttc" id="aclassarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div> |
| 234 | <div class="ttc" id="aclassarmnn_1_1_encoder_html"><div class="ttname"><a href="classarmnn_1_1_encoder.html">armnn::Encoder< float ></a></div></div> |
Nikhil Raj | 6f92c8e | 2023-11-22 11:41:15 +0000 | [diff] [blame] | 235 | <div class="ttc" id="astructarmnn_1_1_stack_descriptor_html_aed6086070440ceb94129bef06f70173f"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.html#aed6086070440ceb94129bef06f70173f">armnn::StackDescriptor::m_NumInputs</a></div><div class="ttdeci">uint32_t m_NumInputs</div><div class="ttdoc">Number of input tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01275">Descriptors.hpp:1275</a></div></div> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 236 | <div class="ttc" id="astructarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00066">WorkloadData.hpp:66</a></div></div> |
Nikhil Raj | 6f92c8e | 2023-11-22 11:41:15 +0000 | [diff] [blame] | 237 | <div class="ttc" id="astructarmnn_1_1_stack_descriptor_html_ab218de7805899c8412d75d1fd1d846d2"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.html#ab218de7805899c8412d75d1fd1d846d2">armnn::StackDescriptor::m_Axis</a></div><div class="ttdeci">uint32_t m_Axis</div><div class="ttdoc">0-based axis along which to stack the input tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01273">Descriptors.hpp:1273</a></div></div> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 238 | <div class="ttc" id="a_ref_workload_utils_8hpp_html"><div class="ttname"><a href="_ref_workload_utils_8hpp.html">RefWorkloadUtils.hpp</a></div></div> |
Nikhil Raj | 38b600d | 2024-02-15 15:02:19 +0000 | [diff] [blame] | 239 | <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> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 240 | <div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.html#l00006">01_00_quick_start.dox:6</a></div></div> |
| 241 | <div class="ttc" id="a_stack_8hpp_html"><div class="ttname"><a href="_stack_8hpp.html">Stack.hpp</a></div></div> |
| 242 | <div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">armnn::QueueDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00026">WorkloadData.hpp:26</a></div></div> |
| 243 | <!-- start footer part --> |
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| 246 | <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_efae4012d0e357ebeaba7d02491d70e5.html">reference</a></li><li class="navelem"><a class="el" href="dir_d2f3b8e2e64df3181ebe92efcc0a3012.html">workloads</a></li><li class="navelem"><a class="el" href="_stack_8cpp.html">Stack.cpp</a></li> |
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