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| 96 | <div class="title">ScatterNdLayer.cpp</div> </div> |
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| 98 | <div class="contents"> |
| 99 | <a href="_scatter_nd_layer_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 © 2024 Arm Ltd and Contributors. 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="_scatter_nd_layer_8hpp.html">ScatterNdLayer.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="_layer_clone_base_8hpp.html">LayerCloneBase.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="preprocessor">#include <<a class="code" href="_types_utils_8hpp.html">armnn/TypesUtils.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="_workload_data_8hpp.html">armnn/backends/WorkloadData.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="_workload_factory_8hpp.html">armnn/backends/WorkloadFactory.hpp</a>></span></div> |
| 110 | <div class="line"><a name="l00012"></a><span class="lineno"> 12</span>  </div> |
| 111 | <div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div> |
| 112 | <div class="line"><a name="l00014"></a><span class="lineno"> 14</span> {</div> |
| 113 | <div class="line"><a name="l00015"></a><span class="lineno"> 15</span>  </div> |
| 114 | <div class="line"><a name="l00016"></a><span class="lineno"><a class="line" href="classarmnn_1_1_scatter_nd_layer.html#aec900a4d9aeefdf5f1633cfd98dcf631"> 16</a></span> <a class="code" href="classarmnn_1_1_scatter_nd_layer.html#aec900a4d9aeefdf5f1633cfd98dcf631">ScatterNdLayer::ScatterNdLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_scatter_nd_descriptor.html">ScatterNdDescriptor</a> &param, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| 115 | <div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  : <a class="code" href="classarmnn_1_1_layer_with_parameters.html">LayerWithParameters</a>(3, 1, <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>::<a class="code" href="namespacearmnn.html#a2055c78ee5627c32252387746d552ade">ScatterNd</a>, param, name)</div> |
| 116 | <div class="line"><a name="l00018"></a><span class="lineno"> 18</span> {</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>  </div> |
| 119 | <div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="classarmnn_1_1_scatter_nd_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7"> 21</a></span> std::unique_ptr<IWorkload> <a class="code" href="classarmnn_1_1_scatter_nd_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">ScatterNdLayer::CreateWorkload</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>& factory)<span class="keyword"> const</span></div> |
| 120 | <div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="keyword"></span>{</div> |
| 121 | <div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <a class="code" href="structarmnn_1_1_scatter_nd_queue_descriptor.html">ScatterNdQueueDescriptor</a> descriptor;</div> |
| 122 | <div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <a class="code" href="classarmnn_1_1_layer.html#af7f0460d32511de0da525f1817d13e8c">SetAdditionalInfo</a>(descriptor);</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">return</span> factory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a694a8411c8c799da95306034d274930b">CreateWorkload</a>(<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7401e8c502f3f7c3544e3f16bf3f488b">LayerType::ScatterNd</a>, descriptor, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a>(descriptor));</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>  </div> |
| 127 | <div class="line"><a name="l00029"></a><span class="lineno"><a class="line" href="classarmnn_1_1_scatter_nd_layer.html#ad00baa923307b757794f135072bced1c"> 29</a></span> <a class="code" href="classarmnn_1_1_scatter_nd_layer.html">ScatterNdLayer</a>* <a class="code" href="classarmnn_1_1_scatter_nd_layer.html#ad00baa923307b757794f135072bced1c">ScatterNdLayer::Clone</a>(<a class="code" href="classarmnn_1_1_graph.html">Graph</a>& graph)<span class="keyword"> const</span></div> |
| 128 | <div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="keyword"></span>{</div> |
| 129 | <div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keyword">auto</span> layer = CloneBase<ScatterNdLayer>(graph, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div> |
| 130 | <div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  </div> |
| 131 | <div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keywordflow">return</span> std::move(layer);</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>  </div> |
| 134 | <div class="line"><a name="l00036"></a><span class="lineno"><a class="line" href="classarmnn_1_1_scatter_nd_layer.html#a65ca562c882ad619684445a1402f415a"> 36</a></span> std::vector<TensorShape> <a class="code" href="classarmnn_1_1_scatter_nd_layer.html#a65ca562c882ad619684445a1402f415a">ScatterNdLayer::InferOutputShapes</a>(<span class="keyword">const</span> std::vector<TensorShape>& inputShapes)<span class="keyword"> const</span></div> |
| 135 | <div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="keyword"></span>{</div> |
| 136 | <div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keyword">const</span> <span class="keyword">auto</span> inputDims = inputShapes[0].GetNumDimensions();</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>  std::vector<unsigned int> dimSizes(inputDims);</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>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> i = 0; i < inputDims; ++i)</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>  dimSizes[i] = inputShapes[0][i];</div> |
| 143 | <div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  }</div> |
| 144 | <div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  </div> |
| 145 | <div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> outputShape({ inputDims, dimSizes.data() });</div> |
| 146 | <div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  </div> |
| 147 | <div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">return</span> std::vector<TensorShape>({ outputShape });</div> |
| 148 | <div class="line"><a name="l00050"></a><span class="lineno"> 50</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"><a class="line" href="classarmnn_1_1_scatter_nd_layer.html#a8c8f543d7e9729362c266d12ec169966"> 52</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_scatter_nd_layer.html#a8c8f543d7e9729362c266d12ec169966">ScatterNdLayer::ValidateTensorShapesFromInputs</a>()</div> |
| 151 | <div class="line"><a name="l00053"></a><span class="lineno"> 53</span> {</div> |
| 152 | <div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <a class="code" href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">VerifyLayerConnections</a>(3, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div> |
| 153 | <div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  </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>& outputShape = <a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div> |
| 155 | <div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  </div> |
| 156 | <div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8">VerifyShapeInferenceType</a>(outputShape, <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>);</div> |
| 157 | <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  </div> |
| 158 | <div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_scatter_nd_descriptor.html#a12501f4f1f889d0b63f8a6067cdaad4a">m_InputEnabled</a>)</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>  std::vector<TensorShape> inferredShapes = <a class="code" href="classarmnn_1_1_scatter_nd_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>(</div> |
| 161 | <div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  {<a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(),</div> |
| 162 | <div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(),</div> |
| 163 | <div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(2).<a class="code" href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()});</div> |
| 164 | <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  </div> |
| 165 | <div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">if</span> (inferredShapes.size() != 1) {</div> |
| 166 | <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"inferredShape has "</span> +</div> |
| 167 | <div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  std::to_string(inferredShapes.size()) +</div> |
| 168 | <div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="stringliteral">" elements - should only have 1."</span>);</div> |
| 169 | <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  }</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>  <a class="code" href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(outputShape, inferredShapes[0], <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <span class="stringliteral">"ScatterLayer"</span>);</div> |
| 172 | <div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  }</div> |
| 173 | <div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">else</span></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="comment">// No input tensor, only shape provided via input slot</span></div> |
| 176 | <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="comment">// In this case, we cannot validate the output shape from the input shape, but we can</span></div> |
| 177 | <div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="comment">// validate that the dimensions of shape and output tensor matched</span></div> |
| 178 | <div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shapeDims = <a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>().<a class="code" href="classarmnn_1_1_tensor_shape.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>();</div> |
| 179 | <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputDims = <a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</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>  <span class="keywordflow">if</span> (shapeDims != outputDims)</div> |
| 182 | <div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  {</div> |
| 183 | <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"shape dimension "</span> +</div> |
| 184 | <div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  std::to_string(shapeDims) +</div> |
| 185 | <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="stringliteral">" and output dimension "</span> +</div> |
| 186 | <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  std::to_string(outputDims) +</div> |
| 187 | <div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="stringliteral">" are not matched."</span>);</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>  }</div> |
| 190 | <div class="line"><a name="l00092"></a><span class="lineno"> 92</span> }</div> |
| 191 | <div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  </div> |
| 192 | <div class="line"><a name="l00094"></a><span class="lineno"> 94</span> } <span class="comment">// namespace armnn</span></div> |
| 193 | </div><!-- fragment --></div><!-- contents --> |
| 194 | </div><!-- doc-content --> |
| 195 | <div class="ttc" id="aclassarmnn_1_1_output_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::OutputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00100">Layer.cpp:100</a></div></div> |
| 196 | <div class="ttc" id="a_workload_data_8hpp_html"><div class="ttname"><a href="_workload_data_8hpp.html">WorkloadData.hpp</a></div></div> |
| 197 | <div class="ttc" id="aclassarmnn_1_1_scatter_nd_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_scatter_nd_layer.html#a65ca562c882ad619684445a1402f415a">armnn::ScatterNdLayer::InferOutputShapes</a></div><div class="ttdeci">std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override</div><div class="ttdoc">Infers the output shapes from given input shapes and layer properties.</div><div class="ttdef"><b>Definition:</b> <a href="_scatter_nd_layer_8cpp_source.html#l00036">ScatterNdLayer.cpp:36</a></div></div> |
| 198 | <div class="ttc" id="a_types_utils_8hpp_html"><div class="ttname"><a href="_types_utils_8hpp.html">TypesUtils.hpp</a></div></div> |
| 199 | <div class="ttc" id="astructarmnn_1_1_scatter_nd_descriptor_html_a12501f4f1f889d0b63f8a6067cdaad4a"><div class="ttname"><a href="structarmnn_1_1_scatter_nd_descriptor.html#a12501f4f1f889d0b63f8a6067cdaad4a">armnn::ScatterNdDescriptor::m_InputEnabled</a></div><div class="ttdeci">bool m_InputEnabled</div><div class="ttdoc">Flag to show if input tensor is accepted.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01722">Descriptors.hpp:1722</a></div></div> |
| 200 | <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> |
| 201 | <div class="ttc" id="a_exceptions_8hpp_html_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00203">Exceptions.hpp:203</a></div></div> |
| 202 | <div class="ttc" id="aclassarmnn_1_1_layer_html_aeb2d638cc0e02c10075e015100996f2d"><div class="ttname"><a href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">armnn::Layer::ValidateAndCopyShape</a></div><div class="ttdeci">void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00457">Layer.cpp:457</a></div></div> |
| 203 | <div class="ttc" id="aclassarmnn_1_1_layer_html_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot & GetOutputSlot(unsigned int index=0) const override</div><div class="ttdoc">Get the const output slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00339">Layer.hpp:339</a></div></div> |
| 204 | <div class="ttc" id="aclassarmnn_1_1_layer_html_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot & GetInputSlot(unsigned int index) const override</div><div class="ttdoc">Get a const input slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00337">Layer.hpp:337</a></div></div> |
| 205 | <div class="ttc" id="a_workload_factory_8hpp_html"><div class="ttname"><a href="_workload_factory_8hpp.html">WorkloadFactory.hpp</a></div></div> |
| 206 | <div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html">armnn::LayerWithParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00014">LayerWithParameters.hpp:14</a></div></div> |
| 207 | <div class="ttc" id="aclassarmnn_1_1_layer_html_a7ddf0cf6f620d59c10e63495ace795d0"><div class="ttname"><a href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">armnn::Layer::GetName</a></div><div class="ttdeci">const char * GetName() const override</div><div class="ttdoc">Returns the name of the layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00332">Layer.hpp:332</a></div></div> |
| 208 | <div class="ttc" id="aclassarmnn_1_1_scatter_nd_layer_html_ad00baa923307b757794f135072bced1c"><div class="ttname"><a href="classarmnn_1_1_scatter_nd_layer.html#ad00baa923307b757794f135072bced1c">armnn::ScatterNdLayer::Clone</a></div><div class="ttdeci">ScatterNdLayer * Clone(Graph &graph) const override</div><div class="ttdoc">Creates a dynamically-allocated copy of this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_scatter_nd_layer_8cpp_source.html#l00029">ScatterNdLayer.cpp:29</a></div></div> |
| 209 | <div class="ttc" id="aclassarmnn_1_1_scatter_nd_layer_html_adfa912d0c4c6c00f1af2cbfa799572b7"><div class="ttname"><a href="classarmnn_1_1_scatter_nd_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">armnn::ScatterNdLayer::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override</div><div class="ttdoc">Makes a workload for the ScatterNd type.</div><div class="ttdef"><b>Definition:</b> <a href="_scatter_nd_layer_8cpp_source.html#l00021">ScatterNdLayer.cpp:21</a></div></div> |
| 210 | <div class="ttc" id="aclassarmnn_1_1_input_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::InputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const override</div><div class="ttdoc">Gets the TensorInfo for this InputSlot.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00614">Layer.cpp:614</a></div></div> |
| 211 | <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> |
| 212 | <div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_ad32ac22bc72e28dfd6b466d143c8e262"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">armnn::LayerWithParameters< ScatterNdDescriptor >::m_Param</a></div><div class="ttdeci">ScatterNdDescriptor m_Param</div><div class="ttdoc">The parameters for the layer (not including tensor-valued weights etc.).</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters.hpp:52</a></div></div> |
| 213 | <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a7401e8c502f3f7c3544e3f16bf3f488b"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7401e8c502f3f7c3544e3f16bf3f488b">armnn::LayerType::ScatterNd</a></div><div class="ttdeci">@ ScatterNd</div></div> |
| 214 | <div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_a30a858b2b26d651a066537e499fbf40d"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#a30a858b2b26d651a066537e499fbf40d">armnn::LayerWithParameters< ScatterNdDescriptor >::PrepInfoAndDesc</a></div><div class="ttdeci">WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const</div><div class="ttdoc">Helper function to reduce duplication in *Layer::CreateWorkload.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00044">LayerWithParameters.hpp:44</a></div></div> |
| 215 | <div class="ttc" id="astructarmnn_1_1_scatter_nd_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_scatter_nd_queue_descriptor.html">armnn::ScatterNdQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00773">WorkloadData.hpp:773</a></div></div> |
| 216 | <div class="ttc" id="aclassarmnn_1_1_layer_validation_exception_html"><div class="ttname"><a href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00105">Exceptions.hpp:105</a></div></div> |
| 217 | <div class="ttc" id="aclassarmnn_1_1_i_workload_factory_html"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.html#l00022">WorkloadFactory.hpp:22</a></div></div> |
| 218 | <div class="ttc" id="aclassarmnn_1_1_layer_html_a448afc716fda85394df1e8e5b7d530e8"><div class="ttname"><a href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8">armnn::Layer::VerifyShapeInferenceType</a></div><div class="ttdeci">void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00526">Layer.cpp:526</a></div></div> |
| 219 | <div class="ttc" id="aclassarmnn_1_1_layer_html_af7f0460d32511de0da525f1817d13e8c"><div class="ttname"><a href="classarmnn_1_1_layer.html#af7f0460d32511de0da525f1817d13e8c">armnn::Layer::SetAdditionalInfo</a></div><div class="ttdeci">void SetAdditionalInfo(QueueDescriptor &descriptor) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00303">Layer.cpp:303</a></div></div> |
| 220 | <div class="ttc" id="aclassarmnn_1_1_scatter_nd_layer_html"><div class="ttname"><a href="classarmnn_1_1_scatter_nd_layer.html">armnn::ScatterNdLayer</a></div><div class="ttdoc">This layer represents a ScatterNd operator.</div><div class="ttdef"><b>Definition:</b> <a href="_scatter_nd_layer_8hpp_source.html#l00014">ScatterNdLayer.hpp:14</a></div></div> |
| 221 | <div class="ttc" id="anamespacearmnn_html_a2055c78ee5627c32252387746d552ade"><div class="ttname"><a href="namespacearmnn.html#a2055c78ee5627c32252387746d552ade">armnn::ScatterNd</a></div><div class="ttdeci">void ScatterNd(const TensorInfo &inputInfo, const TensorInfo &indicesInfo, const TensorInfo &updatesInfo, Decoder< float > &input, Decoder< int > &indices, Decoder< float > &updates, Encoder< float > &output, ScatterNdDescriptor descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_scatter_nd_8cpp_source.html#l00041">ScatterNd.cpp:41</a></div></div> |
| 222 | <div class="ttc" id="aclassarmnn_1_1_scatter_nd_layer_html_aec900a4d9aeefdf5f1633cfd98dcf631"><div class="ttname"><a href="classarmnn_1_1_scatter_nd_layer.html#aec900a4d9aeefdf5f1633cfd98dcf631">armnn::ScatterNdLayer::ScatterNdLayer</a></div><div class="ttdeci">ScatterNdLayer(const ScatterNdDescriptor &param, const char *name)</div><div class="ttdoc">Constructor to create a ScatterNdLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_scatter_nd_layer_8cpp_source.html#l00016">ScatterNdLayer.cpp:16</a></div></div> |
| 223 | <div class="ttc" id="a_scatter_nd_layer_8hpp_html"><div class="ttname"><a href="_scatter_nd_layer_8hpp.html">ScatterNdLayer.hpp</a></div></div> |
| 224 | <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> |
| 225 | <div class="ttc" id="aclassarmnn_1_1_scatter_nd_layer_html_a8c8f543d7e9729362c266d12ec169966"><div class="ttname"><a href="classarmnn_1_1_scatter_nd_layer.html#a8c8f543d7e9729362c266d12ec169966">armnn::ScatterNdLayer::ValidateTensorShapesFromInputs</a></div><div class="ttdeci">void ValidateTensorShapesFromInputs() override</div><div class="ttdoc">Check if the input tensor shape(s) will lead to a valid configuration of ScatterNdLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_scatter_nd_layer_8cpp_source.html#l00052">ScatterNdLayer.cpp:52</a></div></div> |
| 226 | <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> |
| 227 | <div class="ttc" id="aclassarmnn_1_1_layer_html_a0607e36e88f38c34c71c663164b76776"><div class="ttname"><a href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">armnn::Layer::VerifyLayerConnections</a></div><div class="ttdeci">void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00410">Layer.cpp:410</a></div></div> |
| 228 | <div class="ttc" id="astructarmnn_1_1_scatter_nd_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_scatter_nd_descriptor.html">armnn::ScatterNdDescriptor</a></div><div class="ttdoc">A ScatterNdDescriptor for the ScatterNdLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01679">Descriptors.hpp:1679</a></div></div> |
| 229 | <div class="ttc" id="aclassarmnn_1_1_layer_html_afe508761cc8318b15329ba4acf7fbfec"><div class="ttname"><a href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">armnn::Layer::m_ShapeInferenceMethod</a></div><div class="ttdeci">ShapeInferenceMethod m_ShapeInferenceMethod</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00441">Layer.hpp:441</a></div></div> |
| 230 | <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdoc">When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00491">Types.hpp:491</a></div></div> |
| 231 | <div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorShape::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdoc">Function that calculates the tensor elements by multiplying all dimension size which are Specified.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00181">Tensor.cpp:181</a></div></div> |
| 232 | <div class="ttc" id="aclassarmnn_1_1_graph_html"><div class="ttname"><a href="classarmnn_1_1_graph.html">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.html#l00030">Graph.hpp:30</a></div></div> |
| 233 | <div class="ttc" id="aclassarmnn_1_1_i_workload_factory_html_a694a8411c8c799da95306034d274930b"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a694a8411c8c799da95306034d274930b">armnn::IWorkloadFactory::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const =0</div><div class="ttdoc">Backends should implement their own CreateWorkload function with a switch statement.</div></div> |
| 234 | <div class="ttc" id="a_layer_clone_base_8hpp_html"><div class="ttname"><a href="_layer_clone_base_8hpp.html">LayerCloneBase.hpp</a></div></div> |
| 235 | <!-- start footer part --> |
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| 238 | <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.html">src</a></li><li class="navelem"><a class="el" href="dir_e0a84d05c80a2ef4231141dcbbeac5c8.html">armnn</a></li><li class="navelem"><a class="el" href="dir_9da6642ce0fd5a8c83524f1b621275be.html">layers</a></li><li class="navelem"><a class="el" href="_scatter_nd_layer_8cpp.html">ScatterNdLayer.cpp</a></li> |
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