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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">WorkloadUtils.hpp</div> </div> |
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| 99 | <a href="_workload_utils_8hpp.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> |
Nikhil Raj | 1dc83fe | 2024-05-16 09:47:51 +0100 | [diff] [blame^] | 100 | <div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017-2024 Arm Ltd. All rights reserved.</span></div> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 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">#pragma once</span></div> |
| 105 | <div class="line"><a name="l00007"></a><span class="lineno"> 7</span>  </div> |
| 106 | <div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_i_tensor_handle_8hpp.html">armnn/backends/ITensorHandle.hpp</a>></span></div> |
| 107 | <div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_tensor_handle_8hpp.html">armnn/backends/TensorHandle.hpp</a>></span></div> |
| 108 | <div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_tensor_8hpp.html">armnn/Tensor.hpp</a>></span></div> |
| 109 | <div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_polymorphic_downcast_8hpp.html">armnn/utility/PolymorphicDowncast.hpp</a>></span></div> |
| 110 | <div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <<a class="code" href="_permute_8hpp.html">armnnUtils/Permute.hpp</a>></span></div> |
| 111 | <div class="line"><a name="l00013"></a><span class="lineno"> 13</span>  </div> |
| 112 | <div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <<a class="code" href="_half_8hpp.html">Half.hpp</a>></span></div> |
| 113 | <div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <<a class="code" href="_profiling_8hpp.html">Profiling.hpp</a>></span></div> |
| 114 | <div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  </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="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div> |
| 117 | <div class="line"><a name="l00019"></a><span class="lineno"> 19</span> {</div> |
| 118 | <div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="keyword">namespace</span></div> |
| 119 | <div class="line"><a name="l00021"></a><span class="lineno"> 21</span> {</div> |
| 120 | <div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  </div> |
| 121 | <div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="keyword">template</span> <<span class="keyword">typename</span> ArrayType, <span class="keyword">typename</span> Arg></div> |
| 122 | <div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="keywordtype">void</span> AssignValues(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>& idx, <span class="keyword">const</span> ArrayType& array, Arg& arg)</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="keywordflow">if</span> (idx >= num)</div> |
| 125 | <div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  {</div> |
| 126 | <div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keywordflow">return</span>;</div> |
| 127 | <div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  }</div> |
| 128 | <div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  </div> |
| 129 | <div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  arg = array[(num - 1) - idx];</div> |
| 130 | <div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  idx++;</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>  </div> |
| 133 | <div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T, <span class="keyword">typename</span> ArrayType, <span class="keyword">typename</span>... Args></div> |
| 134 | <div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="keywordtype">void</span> AssignValues(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> ArrayType& array, T& assignee, Args&... args)</div> |
| 135 | <div class="line"><a name="l00037"></a><span class="lineno"> 37</span> {</div> |
| 136 | <div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  AssignValues(num, idx, array, assignee);</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>  AssignValues(num, idx, array, args...);</div> |
| 139 | <div class="line"><a name="l00041"></a><span class="lineno"> 41</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> } <span class="comment">// anonymous namespace</span></div> |
| 142 | <div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  </div> |
| 143 | <div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="keyword">template</span> <<span class="keyword">typename</span> CopyFunc></div> |
| 144 | <div class="line"><a name="l00046"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a92c91193007aa49f4732d6dba5397f8d"> 46</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#a92c91193007aa49f4732d6dba5397f8d">CopyTensorContentsGeneric</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a>* srcTensor, <a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a>* dstTensor, CopyFunc copy)</div> |
| 145 | <div class="line"><a name="l00047"></a><span class="lineno"> 47</span> {</div> |
| 146 | <div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="comment">// For ease of understanding, names are assigned to the dimensions</span></div> |
| 147 | <div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="comment">// of the tensor as if NHWC, however this routine works with any 5D tensor</span></div> |
| 148 | <div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  static_assert(<a class="code" href="namespacearmnn.html#abdcd184ed3bd648bb31d385040cafd5d">MaxNumOfTensorDimensions</a> == 5, <span class="stringliteral">"Please update CopyTensorContents"</span>);</div> |
| 149 | <div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  </div> |
| 150 | <div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> srcStrides = srcTensor-><a class="code" href="classarmnn_1_1_i_tensor_handle.html#a30c3e09ce55369b66469443a4ca5ef03">GetStrides</a>();</div> |
| 151 | <div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& srcShape = srcTensor-><a class="code" href="classarmnn_1_1_i_tensor_handle.html#affd5aae75cad90f472f96cfd25a13f29">GetShape</a>();</div> |
| 152 | <div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keyword">const</span> <span class="keyword">auto</span> srcSize = srcTensor-><a class="code" href="classarmnn_1_1_i_tensor_handle.html#a30c3e09ce55369b66469443a4ca5ef03">GetStrides</a>()[0] * srcShape[0];</div> |
| 153 | <div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> dstStrides = dstTensor-><a class="code" href="classarmnn_1_1_i_tensor_handle.html#a30c3e09ce55369b66469443a4ca5ef03">GetStrides</a>();</div> |
| 154 | <div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& dstShape = dstTensor-><a class="code" href="classarmnn_1_1_i_tensor_handle.html#affd5aae75cad90f472f96cfd25a13f29">GetShape</a>();</div> |
| 155 | <div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keyword">const</span> <span class="keyword">auto</span> dstSize = dstTensor-><a class="code" href="classarmnn_1_1_i_tensor_handle.html#a30c3e09ce55369b66469443a4ca5ef03">GetStrides</a>()[0] * dstShape[0];</div> |
| 156 | <div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  </div> |
| 157 | <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordtype">size_t</span> srcDepth = 1;</div> |
| 158 | <div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordtype">size_t</span> srcBatches = 1;</div> |
| 159 | <div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordtype">size_t</span> srcHeight = 1;</div> |
| 160 | <div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordtype">size_t</span> srcWidth = 1;</div> |
| 161 | <div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordtype">size_t</span> srcChannels = 1;</div> |
| 162 | <div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  AssignValues(srcShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(),</div> |
| 163 | <div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  0,</div> |
| 164 | <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  srcShape,</div> |
| 165 | <div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  srcChannels,</div> |
| 166 | <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  srcWidth,</div> |
| 167 | <div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  srcHeight,</div> |
| 168 | <div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  srcBatches,</div> |
| 169 | <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  srcDepth);</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="keywordtype">size_t</span> srcDepthStride = 0;</div> |
| 172 | <div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keywordtype">size_t</span> srcBatchStride = 0;</div> |
| 173 | <div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordtype">size_t</span> srcHeightStride = 0;</div> |
| 174 | <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordtype">size_t</span> srcWidthStride = 0;</div> |
| 175 | <div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordtype">size_t</span> srcChannelStride = 0;</div> |
| 176 | <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  AssignValues(srcStrides.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(),</div> |
| 177 | <div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  0,</div> |
| 178 | <div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  srcStrides,</div> |
| 179 | <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  srcChannelStride,</div> |
| 180 | <div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  srcWidthStride,</div> |
| 181 | <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  srcHeightStride,</div> |
| 182 | <div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  srcBatchStride,</div> |
| 183 | <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  srcDepthStride);</div> |
| 184 | <div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  </div> |
| 185 | <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordtype">size_t</span> dstDepth = 1;</div> |
| 186 | <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordtype">size_t</span> dstBatches = 1;</div> |
| 187 | <div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordtype">size_t</span> dstHeight = 1;</div> |
| 188 | <div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keywordtype">size_t</span> dstWidth = 1;</div> |
| 189 | <div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keywordtype">size_t</span> dstChannels = 1;</div> |
| 190 | <div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  AssignValues(dstShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(),</div> |
| 191 | <div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  0,</div> |
| 192 | <div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  dstShape,</div> |
| 193 | <div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  dstChannels,</div> |
| 194 | <div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  dstWidth,</div> |
| 195 | <div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  dstHeight,</div> |
| 196 | <div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  dstBatches,</div> |
| 197 | <div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  dstDepth);</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="keywordtype">size_t</span> dstDepthStride = 0;</div> |
| 200 | <div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordtype">size_t</span> dstBatchStride = 0;</div> |
| 201 | <div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordtype">size_t</span> dstHeightStride = 0;</div> |
| 202 | <div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordtype">size_t</span> dstWidthStride = 0;</div> |
| 203 | <div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordtype">size_t</span> dstChannelStride = 0;</div> |
| 204 | <div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  AssignValues(dstStrides.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(),</div> |
| 205 | <div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  0,</div> |
| 206 | <div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  dstStrides,</div> |
| 207 | <div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  dstChannelStride,</div> |
| 208 | <div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  dstWidthStride,</div> |
| 209 | <div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  dstHeightStride,</div> |
| 210 | <div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  dstBatchStride,</div> |
| 211 | <div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  dstDepthStride);</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>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">char</span>* srcDataStart;</div> |
| 214 | <div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">char</span>* dstDataStart;</div> |
| 215 | <div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  {</div> |
| 216 | <div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <a class="code" href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"Synchronize buffers"</span>);</div> |
| 217 | <div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  srcDataStart = <span class="keyword">static_cast<</span><span class="keyword">const </span>uint8_t*<span class="keyword">></span>(srcTensor-><a class="code" href="classarmnn_1_1_i_tensor_handle.html#a9afbc055a017adf1bc38ee137bca6e90">Map</a>());</div> |
| 218 | <div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  dstDataStart = <span class="keyword">static_cast<</span>uint8_t*<span class="keyword">></span>(dstTensor-><a class="code" href="classarmnn_1_1_i_tensor_handle.html#a9afbc055a017adf1bc38ee137bca6e90">Map</a>());</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>  <span class="keywordflow">if</span> (srcDataStart == <span class="keyword">nullptr</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>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_memory_validation_exception.html">MemoryValidationException</a>(<span class="stringliteral">"The source tensor is null."</span>);</div> |
| 223 | <div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  }</div> |
| 224 | <div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordflow">if</span> (dstDataStart == <span class="keyword">nullptr</span>)</div> |
| 225 | <div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  {</div> |
| 226 | <div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_memory_validation_exception.html">MemoryValidationException</a>(<span class="stringliteral">"The destination tensor is null."</span>);</div> |
| 227 | <div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  }</div> |
| 228 | <div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  </div> |
| 229 | <div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keywordtype">size_t</span> copyLength = std::min(srcChannels * srcChannelStride, dstChannels * dstChannelStride);</div> |
| 230 | <div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keywordtype">size_t</span> copyWidth = std::min(srcWidth, dstWidth);</div> |
| 231 | <div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordtype">size_t</span> copyHeight = std::min(srcHeight, dstHeight);</div> |
| 232 | <div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keywordtype">size_t</span> copyBatches = std::min(srcBatches, dstBatches);</div> |
| 233 | <div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keywordtype">size_t</span> copyDepth = std::min(srcDepth, dstDepth);</div> |
| 234 | <div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  </div> |
| 235 | <div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="comment">// Coalesce inner dimensions where possible</span></div> |
| 236 | <div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="comment">// to reduce overheard calling copy() and to</span></div> |
| 237 | <div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="comment">// allow for memory bandwidth optimisations</span></div> |
| 238 | <div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keywordflow">if</span> (copyLength == srcWidthStride &&</div> |
| 239 | <div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  copyLength == dstWidthStride)</div> |
| 240 | <div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  {</div> |
| 241 | <div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="comment">// There is no special padding between rows,</span></div> |
| 242 | <div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="comment">// and sizes are compatible, so copy whole rows</span></div> |
| 243 | <div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  copyLength *= copyWidth;</div> |
| 244 | <div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  copyWidth = 1;</div> |
| 245 | <div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  </div> |
| 246 | <div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordflow">if</span> (copyLength == srcHeightStride &&</div> |
| 247 | <div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  copyLength == dstHeightStride)</div> |
| 248 | <div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  {</div> |
| 249 | <div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="comment">// There is no special padding between batches</span></div> |
| 250 | <div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="comment">// and sizes are compatible so copy whole batches</span></div> |
| 251 | <div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  copyLength *= copyHeight;</div> |
| 252 | <div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  copyHeight = 1;</div> |
| 253 | <div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  }</div> |
| 254 | <div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  }</div> |
| 255 | <div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  </div> |
| 256 | <div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">char</span>* srcData = srcDataStart;</div> |
| 257 | <div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">char</span>* dstData = dstDataStart;</div> |
| 258 | <div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> d = 0; d < copyDepth; ++d)</div> |
| 259 | <div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  {</div> |
| 260 | <div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keyword">auto</span> srcPtrDepth = srcData;</div> |
| 261 | <div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keyword">auto</span> dstPtrDepth = dstData;</div> |
| 262 | <div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> b = 0; b < copyBatches; ++b)</div> |
| 263 | <div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  {</div> |
| 264 | <div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keyword">auto</span> srcPtrBatch = srcData;</div> |
| 265 | <div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keyword">auto</span> dstPtrBatch = dstData;</div> |
| 266 | <div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> h = 0; h < copyHeight; ++h)</div> |
| 267 | <div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  {</div> |
| 268 | <div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keyword">auto</span> srcPtrChannel = srcData;</div> |
| 269 | <div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keyword">auto</span> dstPtrChannel = dstData;</div> |
| 270 | <div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> w = 0; w < copyWidth; ++w)</div> |
| 271 | <div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  {</div> |
| 272 | <div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="comment">// Sanity check the memory area we've been asked to copy from and to.</span></div> |
| 273 | <div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keywordflow">if</span> (copyLength > srcSize)</div> |
| 274 | <div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  {</div> |
| 275 | <div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_memory_validation_exception.html">MemoryValidationException</a>(</div> |
| 276 | <div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="stringliteral">"The source tensor size does not match the size of the allocated tensor."</span>);</div> |
| 277 | <div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  }</div> |
| 278 | <div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keywordflow">if</span> (copyLength > dstSize)</div> |
| 279 | <div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  {</div> |
| 280 | <div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_memory_validation_exception.html">MemoryValidationException</a>(</div> |
| 281 | <div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="stringliteral">"The destination tensor size will overrun the destination tensor."</span>);</div> |
| 282 | <div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  }</div> |
| 283 | <div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  copy(dstData, srcData, copyLength);</div> |
| 284 | <div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  dstData += dstWidthStride;</div> |
| 285 | <div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  srcData += srcWidthStride;</div> |
| 286 | <div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  }</div> |
| 287 | <div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  dstData += (<span class="keyword">static_cast<</span><span class="keywordtype">long</span><span class="keyword">></span>(dstHeightStride) - (dstData - dstPtrChannel));</div> |
| 288 | <div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  srcData += (<span class="keyword">static_cast<</span><span class="keywordtype">long</span><span class="keyword">></span>(srcHeightStride) - (srcData - srcPtrChannel));</div> |
| 289 | <div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  }</div> |
| 290 | <div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  dstData += (<span class="keyword">static_cast<</span><span class="keywordtype">long</span><span class="keyword">></span>(dstBatchStride) - (dstData - dstPtrBatch));</div> |
| 291 | <div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  srcData += (<span class="keyword">static_cast<</span><span class="keywordtype">long</span><span class="keyword">></span>(srcBatchStride) - (srcData - srcPtrBatch));</div> |
| 292 | <div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  }</div> |
| 293 | <div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  dstData += (<span class="keyword">static_cast<</span><span class="keywordtype">long</span><span class="keyword">></span>(dstDepthStride) - (dstData - dstPtrDepth));</div> |
| 294 | <div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  srcData += (<span class="keyword">static_cast<</span><span class="keywordtype">long</span><span class="keyword">></span>(srcDepthStride) - (srcData - srcPtrDepth));</div> |
| 295 | <div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  }</div> |
| 296 | <div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  </div> |
| 297 | <div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  srcTensor-><a class="code" href="classarmnn_1_1_i_tensor_handle.html#a563609828050f1b3a7868c23f3365923">Unmap</a>();</div> |
| 298 | <div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  dstTensor-><a class="code" href="classarmnn_1_1_i_tensor_handle.html#a563609828050f1b3a7868c23f3365923">Unmap</a>();</div> |
| 299 | <div class="line"><a name="l00201"></a><span class="lineno"> 201</span> }</div> |
| 300 | <div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  </div> |
| 301 | <div class="line"><a name="l00203"></a><span class="lineno"> 203</span> <span class="keyword">template</span> <<span class="keyword">typename</span> SrcTensorHandleType, <span class="keyword">typename</span> DstTensorHandleType, <span class="keyword">typename</span> DescriptorType></div> |
| 302 | <div class="line"><a name="l00204"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a844d7fa4dde82e1c6b0606e1c68890bb"> 204</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#a844d7fa4dde82e1c6b0606e1c68890bb">GatherTensorHandlePairs</a>(<span class="keyword">const</span> DescriptorType& descriptor,</div> |
| 303 | <div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  std::vector<std::pair<SrcTensorHandleType*, DstTensorHandleType*>>& tensorHandlePairs)</div> |
| 304 | <div class="line"><a name="l00206"></a><span class="lineno"> 206</span> {</div> |
| 305 | <div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numInputs = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(descriptor.m_Inputs.size());</div> |
| 306 | <div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  tensorHandlePairs.reserve(numInputs);</div> |
| 307 | <div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  </div> |
| 308 | <div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < numInputs; ++i)</div> |
| 309 | <div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  {</div> |
| 310 | <div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  SrcTensorHandleType* <span class="keyword">const</span> srcTensorHandle =</div> |
| 311 | <div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  PolymorphicDowncast<SrcTensorHandleType*>(descriptor.m_Inputs[i]);</div> |
| 312 | <div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  DstTensorHandleType* <span class="keyword">const</span> dstTensorHandle =</div> |
| 313 | <div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  PolymorphicDowncast<DstTensorHandleType*>(descriptor.m_Outputs[i]);</div> |
| 314 | <div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  </div> |
| 315 | <div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  tensorHandlePairs.emplace_back(srcTensorHandle, dstTensorHandle);</div> |
| 316 | <div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  }</div> |
| 317 | <div class="line"><a name="l00219"></a><span class="lineno"> 219</span> }</div> |
| 318 | <div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  </div> |
| 319 | <div class="line"><a name="l00221"></a><span class="lineno"> 221</span> int32_t <a class="code" href="namespacearmnn.html#ad69ffa576a596b9eb20ab6a41420c541">ConvertMaskToACLFormat</a>(int32_t mask, int32_t numDim);</div> |
| 320 | <div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  </div> |
| 321 | <div class="line"><a name="l00223"></a><span class="lineno"> 223</span> <a class="code" href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a> <a class="code" href="namespacearmnn.html#aafe6180ef80d9f334f3a3ba9cc0db35d">PermuteTensor</a>(<span class="keyword">const</span> ConstTensorHandle* tensor,</div> |
| 322 | <div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keyword">const</span> PermutationVector& permutationVector,</div> |
| 323 | <div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keywordtype">void</span>* permuteBuffer);</div> |
| 324 | <div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  </div> |
| 325 | <div class="line"><a name="l00227"></a><span class="lineno"> 227</span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#a3170fdd696155a247ecd81d445c0e2e1">ReshapeWeightsForAcl</a>(TensorInfo& weightInfo, <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> dataLayout);</div> |
| 326 | <div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  </div> |
| 327 | <div class="line"><a name="l00229"></a><span class="lineno"> 229</span> TensorInfo <a class="code" href="namespacearmnn.html#a1e8288eac7e909fdb58b6113d816763a">ConvertWeightTensorInfoFromArmnnToAcl</a>(<span class="keyword">const</span> TensorInfo& weightInfo, <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> dataLayout);</div> |
| 328 | <div class="line"><a name="l00230"></a><span class="lineno"> 230</span> <span class="comment"></span> </div> |
| 329 | <div class="line"><a name="l00231"></a><span class="lineno"> 231</span> <span class="comment">/// Weights for depthwise have a datalayout of [1,H,W,O] = [1,H,W,I*M]</span></div> |
| 330 | <div class="line"><a name="l00232"></a><span class="lineno"> 232</span> <span class="comment">/// This function coverts a TensorInfo from [1,H,W,I*M] to [1,I*M,H,W] (if NCHW) or keeps it at [1,H,W,I*M] (if NHWC)</span></div> |
| 331 | <div class="line"><a name="l00233"></a><span class="lineno"> 233</span> <span class="comment">/// as required by the compute library</span></div> |
| 332 | <div class="line"><a name="l00234"></a><span class="lineno"> 234</span> <span class="comment">/// Returns a tuple of converted weights tensor info and depth multiplier</span></div> |
| 333 | <div class="line"><a name="l00235"></a><span class="lineno"> 235</span> <span class="comment"></span>std::tuple<TensorInfo, unsigned int> <a class="code" href="namespacearmnn.html#ac4aa9e41515b354234645f115c49de32">Convert1HWOTensorInfoToAcl</a>(<span class="keyword">const</span> TensorInfo& weightInfo,</div> |
| 334 | <div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keyword">const</span> TensorInfo& inputInfo,</div> |
| 335 | <div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> dataLayout);</div> |
| 336 | <div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  </div> |
| 337 | <div class="line"><a name="l00239"></a><span class="lineno"> 239</span> <a class="code" href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a> <a class="code" href="namespacearmnn.html#a8ca9f249dc67c111b8234b2c78d672cd">ConvertWeightTensorFromArmnnToAcl</a>(<span class="keyword">const</span> ConstTensorHandle* weightTensor,</div> |
| 338 | <div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> dataLayout,</div> |
| 339 | <div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keywordtype">void</span>* permuteBuffer);</div> |
| 340 | <div class="line"><a name="l00242"></a><span class="lineno"> 242</span> <span class="comment"></span> </div> |
| 341 | <div class="line"><a name="l00243"></a><span class="lineno"> 243</span> <span class="comment">/// Weights for depthwise have a datalayout of [1,H,W,O] = [1,H,W,I*M]</span></div> |
| 342 | <div class="line"><a name="l00244"></a><span class="lineno"> 244</span> <span class="comment">/// This function coverts a ConstCpuTensorHandle from [1,H,W,I*M] to [1,I*M,H,W] (if NCHW) or</span></div> |
| 343 | <div class="line"><a name="l00245"></a><span class="lineno"> 245</span> <span class="comment">/// keeps it at [1,H,W,I*M] (if NHWC) as required by the compute library</span></div> |
| 344 | <div class="line"><a name="l00246"></a><span class="lineno"> 246</span> <span class="comment">///</span></div> |
| 345 | <div class="line"><a name="l00247"></a><span class="lineno"> 247</span> <span class="comment">/// \param weightTensor - ConstTensorHandle of weights tensor</span></div> |
| 346 | <div class="line"><a name="l00248"></a><span class="lineno"> 248</span> <span class="comment">/// \param inputInfo - TensorInfo of input tensor</span></div> |
| 347 | <div class="line"><a name="l00249"></a><span class="lineno"> 249</span> <span class="comment">/// \param dataLayout - DataLayout of the input tensor</span></div> |
| 348 | <div class="line"><a name="l00250"></a><span class="lineno"> 250</span> <span class="comment">/// \param permuteBuffer - Pointer to memory with the size of tensor. Used for the permutation</span></div> |
| 349 | <div class="line"><a name="l00251"></a><span class="lineno"> 251</span> <span class="comment">/// \return tuple of transformed weights-ConstTensor and depthwise multiplier</span></div> |
| 350 | <div class="line"><a name="l00252"></a><span class="lineno"> 252</span> <span class="comment"></span>std::tuple<ConstTensor, unsigned int> <a class="code" href="namespacearmnn.html#af35f79341ec6c10a8bd4c8caf0585ffb">Convert1HWOTensorToAcl</a>(<span class="keyword">const</span> ConstTensorHandle* weightTensor,</div> |
| 351 | <div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keyword">const</span> TensorInfo& inputInfo,</div> |
| 352 | <div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> dataLayout,</div> |
| 353 | <div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keywordtype">void</span>* permuteBuffer);</div> |
| 354 | <div class="line"><a name="l00256"></a><span class="lineno"> 256</span> <span class="comment"></span> </div> |
| 355 | <div class="line"><a name="l00257"></a><span class="lineno"> 257</span> <span class="comment">/// Converts a (weights) tensor from [1, H, W, I*M] = [1, H, W, O] to [M, I, H, W]</span></div> |
| 356 | <div class="line"><a name="l00258"></a><span class="lineno"> 258</span> <span class="comment">///</span></div> |
| 357 | <div class="line"><a name="l00259"></a><span class="lineno"> 259</span> <span class="comment">/// \param weightTensor - ConstTensorHandle of the weight tensor that should be converted</span></div> |
| 358 | <div class="line"><a name="l00260"></a><span class="lineno"> 260</span> <span class="comment">/// \param inputInfo - TensorInfo of the corresponding input tensor</span></div> |
| 359 | <div class="line"><a name="l00261"></a><span class="lineno"> 261</span> <span class="comment">/// \param dataLayout - DataLayout of the input tensor e.g. NHWC or NCHW</span></div> |
| 360 | <div class="line"><a name="l00262"></a><span class="lineno"> 262</span> <span class="comment">/// \param permuteBuffer - Memory location with the same size as the weight tensor to write converted data to</span></div> |
| 361 | <div class="line"><a name="l00263"></a><span class="lineno"> 263</span> <span class="comment">/// \return - A tuple of ConstTensor and unsigned int which is the converted weightTensor and the depthMultiplier</span></div> |
| 362 | <div class="line"><a name="l00264"></a><span class="lineno"> 264</span> <span class="comment"></span>std::tuple<ConstTensor, unsigned int> <a class="code" href="namespacearmnn.html#aa22a82f5240a0eb0d61135345080aa2d">Convert1HWOtoMIHW</a>(<span class="keyword">const</span> ConstTensorHandle* weightTensor,</div> |
| 363 | <div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keyword">const</span> TensorInfo& inputInfo,</div> |
| 364 | <div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>& dataLayout,</div> |
| 365 | <div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keywordtype">void</span>* permuteBuffer);</div> |
| 366 | <div class="line"><a name="l00268"></a><span class="lineno"> 268</span> <span class="comment"></span> </div> |
| 367 | <div class="line"><a name="l00269"></a><span class="lineno"> 269</span> <span class="comment">/// Calculates the key index values needed for GatherNd: N, ND, K, W, C (N is always 1)</span></div> |
| 368 | <div class="line"><a name="l00270"></a><span class="lineno"> 270</span> <span class="comment">///</span></div> |
| 369 | <div class="line"><a name="l00271"></a><span class="lineno"> 271</span> <span class="comment">/// \param inputInfo0 - TensorInfo of the corresponding input tensor: params</span></div> |
| 370 | <div class="line"><a name="l00272"></a><span class="lineno"> 272</span> <span class="comment">/// \param inputInfo1 - TensorInfo of the corresponding input tensor: indices</span></div> |
| 371 | <div class="line"><a name="l00273"></a><span class="lineno"> 273</span> <span class="comment">/// \return - A map with names and values for N, ND, K, W, C</span></div> |
| 372 | <div class="line"><a name="l00274"></a><span class="lineno"> 274</span> <span class="comment"></span>std::map<std::string, unsigned int> <a class="code" href="namespacearmnn.html#ac40d3e4035af5fbe68d9e126a8d6367c">CalculateGatherNdKeyIndices</a>(TensorInfo inputInfo0, TensorInfo inputInfo1);</div> |
| 373 | <div class="line"><a name="l00275"></a><span class="lineno"> 275</span> <span class="comment"></span> </div> |
| 374 | <div class="line"><a name="l00276"></a><span class="lineno"> 276</span> <span class="comment">/// Generates a permutation vector of size rank that permutes the 2 most right dimensions</span></div> |
| 375 | <div class="line"><a name="l00277"></a><span class="lineno"> 277</span> <span class="comment">///</span></div> |
| 376 | <div class="line"><a name="l00278"></a><span class="lineno"> 278</span> <span class="comment">/// \param rank - Tensor rank, i.e. number of dimensions in the tensors</span></div> |
| 377 | <div class="line"><a name="l00279"></a><span class="lineno"> 279</span> <span class="comment">/// \return - A permutation vector that permutes the 2 last dimensions</span></div> |
| 378 | <div class="line"><a name="l00280"></a><span class="lineno"> 280</span> <span class="comment"></span><a class="code" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a> <a class="code" href="namespacearmnn.html#a15e2ba06d2ecd7ff6013118838e5d1be">GeneratePermutationVectorOnLastTwoDimensions</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> rank);</div> |
Nikhil Raj | 1dc83fe | 2024-05-16 09:47:51 +0100 | [diff] [blame^] | 379 | <div class="line"><a name="l00281"></a><span class="lineno"> 281</span> <span class="comment"></span> </div> |
| 380 | <div class="line"><a name="l00282"></a><span class="lineno"> 282</span> <span class="comment">/// Calculates the axis values for split operation.</span></div> |
| 381 | <div class="line"><a name="l00283"></a><span class="lineno"> 283</span> <span class="comment">///</span></div> |
| 382 | <div class="line"><a name="l00284"></a><span class="lineno"> 284</span> <span class="comment">/// \param desc - Splitter Descriptor</span></div> |
| 383 | <div class="line"><a name="l00285"></a><span class="lineno"> 285</span> <span class="comment">/// \param input - Input tensor shape</span></div> |
| 384 | <div class="line"><a name="l00286"></a><span class="lineno"> 286</span> <span class="comment">/// \return - A set containing axis values of slitter operation</span></div> |
| 385 | <div class="line"><a name="l00287"></a><span class="lineno"> 287</span> <span class="comment"></span> std::set<unsigned int> <a class="code" href="namespacearmnn.html#a2f68926d52d1aa3590bd467e041def05">ComputeSplitAxis</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_views_descriptor.html">armnn::SplitterDescriptor</a>& desc, <span class="keyword">const</span> TensorShape& input);</div> |
| 386 | <div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  </div> |
| 387 | <div class="line"><a name="l00289"></a><span class="lineno"> 289</span> } <span class="comment">//namespace armnn</span></div> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 388 | </div><!-- fragment --></div><!-- contents --> |
| 389 | </div><!-- doc-content --> |
| 390 | <div class="ttc" id="anamespacearmnn_html_ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360"><div class="ttname"><a href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">armnn::Compute::Undefined</a></div><div class="ttdeci">@ Undefined</div></div> |
Nikhil Raj | 1dc83fe | 2024-05-16 09:47:51 +0100 | [diff] [blame^] | 391 | <div class="ttc" id="astructarmnn_1_1_views_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.html">armnn::ViewsDescriptor</a></div><div class="ttdoc">A ViewsDescriptor for the SplitterLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00244">Descriptors.hpp:244</a></div></div> |
| 392 | <div class="ttc" id="anamespacearmnn_html_ac4aa9e41515b354234645f115c49de32"><div class="ttname"><a href="namespacearmnn.html#ac4aa9e41515b354234645f115c49de32">armnn::Convert1HWOTensorInfoToAcl</a></div><div class="ttdeci">std::tuple< TensorInfo, unsigned int > Convert1HWOTensorInfoToAcl(const TensorInfo &weightInfo, const TensorInfo &inputInfo, const DataLayout dataLayout)</div><div class="ttdoc">Weights for depthwise have a datalayout of [1,H,W,O] = [1,H,W,I*M] This function coverts a TensorInfo...</div><div class="ttdef"><b>Definition:</b> <a href="_workload_utils_8cpp_source.html#l00177">WorkloadUtils.cpp:177</a></div></div> |
| 393 | <div class="ttc" id="anamespacearmnn_html_af35f79341ec6c10a8bd4c8caf0585ffb"><div class="ttname"><a href="namespacearmnn.html#af35f79341ec6c10a8bd4c8caf0585ffb">armnn::Convert1HWOTensorToAcl</a></div><div class="ttdeci">std::tuple< ConstTensor, unsigned int > Convert1HWOTensorToAcl(const ConstTensorHandle *weightTensor, const TensorInfo &inputInfo, const DataLayout dataLayout, void *permuteBuffer)</div><div class="ttdoc">Weights for depthwise have a datalayout of [1,H,W,O] = [1,H,W,I*M] This function coverts a ConstCpuTe...</div><div class="ttdef"><b>Definition:</b> <a href="_workload_utils_8cpp_source.html#l00146">WorkloadUtils.cpp:146</a></div></div> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 394 | <div class="ttc" id="anamespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00062">Types.hpp:62</a></div></div> |
Nikhil Raj | 1dc83fe | 2024-05-16 09:47:51 +0100 | [diff] [blame^] | 395 | <div class="ttc" id="anamespacearmnn_html_aafe6180ef80d9f334f3a3ba9cc0db35d"><div class="ttname"><a href="namespacearmnn.html#aafe6180ef80d9f334f3a3ba9cc0db35d">armnn::PermuteTensor</a></div><div class="ttdeci">armnn::ConstTensor PermuteTensor(const ConstTensorHandle *tensor, const PermutationVector &permutationVector, void *permuteBuffer)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_utils_8cpp_source.html#l00019">WorkloadUtils.cpp:19</a></div></div> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 396 | <div class="ttc" id="a_profiling_8hpp_html"><div class="ttname"><a href="_profiling_8hpp.html">Profiling.hpp</a></div></div> |
| 397 | <div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html">armnn::ITensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_handle_8hpp_source.html#l00016">ITensorHandle.hpp:16</a></div></div> |
| 398 | <div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_html_affd5aae75cad90f472f96cfd25a13f29"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#affd5aae75cad90f472f96cfd25a13f29">armnn::ITensorHandle::GetShape</a></div><div class="ttdeci">virtual TensorShape GetShape() const =0</div><div class="ttdoc">Get the number of elements for each dimension ordered from slowest iterating dimension to fastest ite...</div></div> |
| 399 | <div class="ttc" id="anamespacearmnn_html_abdcd184ed3bd648bb31d385040cafd5d"><div class="ttname"><a href="namespacearmnn.html#abdcd184ed3bd648bb31d385040cafd5d">armnn::MaxNumOfTensorDimensions</a></div><div class="ttdeci">constexpr unsigned int MaxNumOfTensorDimensions</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00031">Types.hpp:31</a></div></div> |
Nikhil Raj | 1dc83fe | 2024-05-16 09:47:51 +0100 | [diff] [blame^] | 400 | <div class="ttc" id="anamespacearmnn_html_aa22a82f5240a0eb0d61135345080aa2d"><div class="ttname"><a href="namespacearmnn.html#aa22a82f5240a0eb0d61135345080aa2d">armnn::Convert1HWOtoMIHW</a></div><div class="ttdeci">std::tuple< ConstTensor, unsigned int > Convert1HWOtoMIHW(const ConstTensorHandle *weightTensor, const TensorInfo &inputInfo, const DataLayout &dataLayout, void *permuteBuffer)</div><div class="ttdoc">Converts a (weights) tensor from [1, H, W, I*M] = [1, H, W, O] to [M, I, H, W].</div><div class="ttdef"><b>Definition:</b> <a href="_workload_utils_8cpp_source.html#l00208">WorkloadUtils.cpp:208</a></div></div> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 401 | <div class="ttc" id="aclassarmnn_1_1_memory_validation_exception_html"><div class="ttname"><a href="classarmnn_1_1_memory_validation_exception.html">armnn::MemoryValidationException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00158">Exceptions.hpp:158</a></div></div> |
| 402 | <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> |
| 403 | <div class="ttc" id="a_i_tensor_handle_8hpp_html"><div class="ttname"><a href="_i_tensor_handle_8hpp.html">ITensorHandle.hpp</a></div></div> |
| 404 | <div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdoc">Function that returns the tensor rank.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00174">Tensor.cpp:174</a></div></div> |
Nikhil Raj | 1dc83fe | 2024-05-16 09:47:51 +0100 | [diff] [blame^] | 405 | <div class="ttc" id="anamespacearmnn_html_a8ca9f249dc67c111b8234b2c78d672cd"><div class="ttname"><a href="namespacearmnn.html#a8ca9f249dc67c111b8234b2c78d672cd">armnn::ConvertWeightTensorFromArmnnToAcl</a></div><div class="ttdeci">armnn::ConstTensor ConvertWeightTensorFromArmnnToAcl(const ConstTensorHandle *weightTensor, DataLayout dataLayout, void *permuteBuffer)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_utils_8cpp_source.html#l00237">WorkloadUtils.cpp:237</a></div></div> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 406 | <div class="ttc" id="a_profiling_8hpp_html_a5ccc65e2c464ac05ce311fdae7ede03a"><div class="ttname"><a href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8hpp_source.html#l00220">Profiling.hpp:220</a></div></div> |
| 407 | <div class="ttc" id="a_polymorphic_downcast_8hpp_html"><div class="ttname"><a href="_polymorphic_downcast_8hpp.html">PolymorphicDowncast.hpp</a></div></div> |
Nikhil Raj | 1dc83fe | 2024-05-16 09:47:51 +0100 | [diff] [blame^] | 408 | <div class="ttc" id="anamespacearmnn_html_ac40d3e4035af5fbe68d9e126a8d6367c"><div class="ttname"><a href="namespacearmnn.html#ac40d3e4035af5fbe68d9e126a8d6367c">armnn::CalculateGatherNdKeyIndices</a></div><div class="ttdeci">std::map< std::string, unsigned int > CalculateGatherNdKeyIndices(TensorInfo inputInfo0, TensorInfo inputInfo1)</div><div class="ttdoc">Calculates the key index values needed for GatherNd: N, ND, K, W, C (N is always 1)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_utils_8cpp_source.html#l00313">WorkloadUtils.cpp:313</a></div></div> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 409 | <div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_html_a30c3e09ce55369b66469443a4ca5ef03"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#a30c3e09ce55369b66469443a4ca5ef03">armnn::ITensorHandle::GetStrides</a></div><div class="ttdeci">virtual TensorShape GetStrides() const =0</div><div class="ttdoc">Get the strides for each dimension ordered from largest to smallest where the smallest value is the s...</div></div> |
Nikhil Raj | 6f92c8e | 2023-11-22 11:41:15 +0000 | [diff] [blame] | 410 | <div class="ttc" id="aclassarmnn_1_1_permutation_vector_html"><div class="ttname"><a href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a></div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00314">Types.hpp:314</a></div></div> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 411 | <div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_html_a563609828050f1b3a7868c23f3365923"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#a563609828050f1b3a7868c23f3365923">armnn::ITensorHandle::Unmap</a></div><div class="ttdeci">virtual void Unmap() const =0</div><div class="ttdoc">Unmap the tensor data.</div></div> |
| 412 | <div class="ttc" id="anamespacearmnn_html_a844d7fa4dde82e1c6b0606e1c68890bb"><div class="ttname"><a href="namespacearmnn.html#a844d7fa4dde82e1c6b0606e1c68890bb">armnn::GatherTensorHandlePairs</a></div><div class="ttdeci">void GatherTensorHandlePairs(const DescriptorType &descriptor, std::vector< std::pair< SrcTensorHandleType *, DstTensorHandleType * >> &tensorHandlePairs)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_utils_8hpp_source.html#l00204">WorkloadUtils.hpp:204</a></div></div> |
| 413 | <div class="ttc" id="a_permute_8hpp_html"><div class="ttname"><a href="_permute_8hpp.html">Permute.hpp</a></div></div> |
| 414 | <div class="ttc" id="anamespacearmnn_html_a92c91193007aa49f4732d6dba5397f8d"><div class="ttname"><a href="namespacearmnn.html#a92c91193007aa49f4732d6dba5397f8d">armnn::CopyTensorContentsGeneric</a></div><div class="ttdeci">void CopyTensorContentsGeneric(const ITensorHandle *srcTensor, ITensorHandle *dstTensor, CopyFunc copy)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_utils_8hpp_source.html#l00046">WorkloadUtils.hpp:46</a></div></div> |
| 415 | <div class="ttc" id="a_half_8hpp_html"><div class="ttname"><a href="_half_8hpp.html">Half.hpp</a></div></div> |
Nikhil Raj | 1dc83fe | 2024-05-16 09:47:51 +0100 | [diff] [blame^] | 416 | <div class="ttc" id="anamespacearmnn_html_a3170fdd696155a247ecd81d445c0e2e1"><div class="ttname"><a href="namespacearmnn.html#a3170fdd696155a247ecd81d445c0e2e1">armnn::ReshapeWeightsForAcl</a></div><div class="ttdeci">void ReshapeWeightsForAcl(TensorInfo &weightInfo, DataLayout dataLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_utils_8cpp_source.html#l00048">WorkloadUtils.cpp:48</a></div></div> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 417 | <div class="ttc" id="a_tensor_8hpp_html"><div class="ttname"><a href="_tensor_8hpp.html">Tensor.hpp</a></div></div> |
| 418 | <div class="ttc" id="a_tensor_handle_8hpp_html"><div class="ttname"><a href="_tensor_handle_8hpp.html">TensorHandle.hpp</a></div></div> |
Nikhil Raj | 1dc83fe | 2024-05-16 09:47:51 +0100 | [diff] [blame^] | 419 | <div class="ttc" id="anamespacearmnn_html_a15e2ba06d2ecd7ff6013118838e5d1be"><div class="ttname"><a href="namespacearmnn.html#a15e2ba06d2ecd7ff6013118838e5d1be">armnn::GeneratePermutationVectorOnLastTwoDimensions</a></div><div class="ttdeci">armnn::PermutationVector GeneratePermutationVectorOnLastTwoDimensions(unsigned int rank)</div><div class="ttdoc">Generates a permutation vector of size rank that permutes the 2 most right dimensions.</div><div class="ttdef"><b>Definition:</b> <a href="_workload_utils_8cpp_source.html#l00357">WorkloadUtils.cpp:357</a></div></div> |
| 420 | <div class="ttc" id="anamespacearmnn_html_ad69ffa576a596b9eb20ab6a41420c541"><div class="ttname"><a href="namespacearmnn.html#ad69ffa576a596b9eb20ab6a41420c541">armnn::ConvertMaskToACLFormat</a></div><div class="ttdeci">int32_t ConvertMaskToACLFormat(int32_t mask, int32_t numDim)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_utils_8cpp_source.html#l00299">WorkloadUtils.cpp:299</a></div></div> |
| 421 | <div class="ttc" id="anamespacearmnn_html_a1e8288eac7e909fdb58b6113d816763a"><div class="ttname"><a href="namespacearmnn.html#a1e8288eac7e909fdb58b6113d816763a">armnn::ConvertWeightTensorInfoFromArmnnToAcl</a></div><div class="ttdeci">TensorInfo ConvertWeightTensorInfoFromArmnnToAcl(const TensorInfo &weightInfo, DataLayout dataLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_utils_8cpp_source.html#l00122">WorkloadUtils.cpp:122</a></div></div> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 422 | <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> |
Nikhil Raj | 1dc83fe | 2024-05-16 09:47:51 +0100 | [diff] [blame^] | 423 | <div class="ttc" id="anamespacearmnn_html_a2f68926d52d1aa3590bd467e041def05"><div class="ttname"><a href="namespacearmnn.html#a2f68926d52d1aa3590bd467e041def05">armnn::ComputeSplitAxis</a></div><div class="ttdeci">std::set< unsigned int > ComputeSplitAxis(const armnn::SplitterDescriptor &desc, const TensorShape &input)</div><div class="ttdoc">Calculates the axis values for split operation.</div><div class="ttdef"><b>Definition:</b> <a href="_workload_utils_8cpp_source.html#l00377">WorkloadUtils.cpp:377</a></div></div> |
Nikhil Raj | 38b600d | 2024-02-15 15:02:19 +0000 | [diff] [blame] | 424 | <div class="ttc" id="aclassarmnn_1_1_const_tensor_html"><div class="ttname"><a href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00329">Tensor.hpp:329</a></div></div> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 425 | <div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_html_a9afbc055a017adf1bc38ee137bca6e90"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#a9afbc055a017adf1bc38ee137bca6e90">armnn::ITensorHandle::Map</a></div><div class="ttdeci">virtual const void * Map(bool blocking=true) const =0</div><div class="ttdoc">Map the tensor data for access.</div></div> |
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