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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">Convolution3dLayer.cpp</div> </div> |
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| 99 | <a href="_convolution3d_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> |
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 © 2021-2024 Arm Ltd and Contributors. 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">#include "<a class="code" href="_convolution3d_layer_8hpp.html">Convolution3dLayer.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="_data_layout_indexed_8hpp.html">armnnUtils/DataLayoutIndexed.hpp</a>></span></div> |
| 108 | <div class="line"><a name="l00010"></a><span class="lineno"> 10</span>  </div> |
| 109 | <div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_tensor_handle_8hpp.html">armnn/backends/TensorHandle.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">using namespace </span><a class="code" href="namespacearmnn_utils.html">armnnUtils</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> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></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"><a class="line" href="classarmnn_1_1_convolution3d_layer.html#af71f5cd53ac4c66c73231b3da95f039a"> 18</a></span> <a class="code" href="classarmnn_1_1_convolution3d_layer.html#af71f5cd53ac4c66c73231b3da95f039a">Convolution3dLayer::Convolution3dLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution3d_descriptor.html">Convolution3dDescriptor</a>& param, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| 117 | <div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  : <a class="code" href="classarmnn_1_1_layer_with_parameters.html">LayerWithParameters</a>(param.<a class="code" href="namespacearmnn.html#aed508ea8d7b3ef4e171cb6f178acf086">GetNumInputs</a>(), 1, <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>::<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">Convolution3d</a>, param, name)</div> |
| 118 | <div class="line"><a name="l00020"></a><span class="lineno"> 20</span> {</div> |
| 119 | <div class="line"><a name="l00021"></a><span class="lineno"> 21</span> }</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"><a class="line" href="classarmnn_1_1_convolution3d_layer.html#a2ca654770a1890f15e3c7aab98e434a5"> 23</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_convolution3d_layer.html#a2ca654770a1890f15e3c7aab98e434a5">Convolution3dLayer::SerializeLayerParameters</a>(<a class="code" href="namespacearmnn.html#a8c42c6647e31ebe525aeba878d133e45">ParameterStringifyFunction</a>& fn)<span class="keyword"> const</span></div> |
| 122 | <div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="keyword"></span>{</div> |
| 123 | <div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keyword">const</span> std::vector<TensorShape>& inputShapes =</div> |
| 124 | <div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  {</div> |
| 125 | <div class="line"><a name="l00027"></a><span class="lineno"> 27</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> |
| 126 | <div class="line"><a name="l00028"></a><span class="lineno"> 28</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> |
| 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>  <span class="comment">// Conv3d Filter Layout: [D,H,W,I,O]</span></div> |
| 130 | <div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> filterShape = inputShapes[1];</div> |
| 131 | <div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> filterDepth = filterShape[0];</div> |
| 132 | <div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> filterHeight = filterShape[1];</div> |
| 133 | <div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> filterWidth = filterShape[2];</div> |
| 134 | <div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inChannels = filterShape[3];</div> |
| 135 | <div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outChannels = filterShape[4];</div> |
| 136 | <div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  </div> |
| 137 | <div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  fn(<span class="stringliteral">"FilterDepth"</span>,std::to_string(filterDepth));</div> |
| 138 | <div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  fn(<span class="stringliteral">"FilterHeight"</span>,std::to_string(filterHeight));</div> |
| 139 | <div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  fn(<span class="stringliteral">"FilterWidth"</span>,std::to_string(filterWidth));</div> |
| 140 | <div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  fn(<span class="stringliteral">"InputChannels"</span>,std::to_string(inChannels));</div> |
| 141 | <div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  fn(<span class="stringliteral">"OutputChannels"</span>,std::to_string(outChannels));</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>  <a class="code" href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters<Convolution3dDescriptor>::SerializeLayerParameters</a>(fn);</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>  </div> |
| 146 | <div class="line"><a name="l00048"></a><span class="lineno"><a class="line" href="classarmnn_1_1_convolution3d_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7"> 48</a></span> std::unique_ptr<IWorkload> <a class="code" href="classarmnn_1_1_convolution3d_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">Convolution3dLayer::CreateWorkload</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.html">IWorkloadFactory</a>& factory)<span class="keyword"> const</span></div> |
| 147 | <div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="keyword"></span>{</div> |
| 148 | <div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <a class="code" href="structarmnn_1_1_convolution3d_queue_descriptor.html">Convolution3dQueueDescriptor</a> descriptor;</div> |
| 149 | <div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <a class="code" href="classarmnn_1_1_layer.html#af7f0460d32511de0da525f1817d13e8c">SetAdditionalInfo</a>(descriptor);</div> |
| 150 | <div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  </div> |
| 151 | <div class="line"><a name="l00053"></a><span class="lineno"> 53</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#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">LayerType::Convolution3d</a>, descriptor, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a>(descriptor));</div> |
| 152 | <div class="line"><a name="l00054"></a><span class="lineno"> 54</span> }</div> |
| 153 | <div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  </div> |
| 154 | <div class="line"><a name="l00056"></a><span class="lineno"><a class="line" href="classarmnn_1_1_convolution3d_layer.html#aaa20b55aac06f7510f838b6fb5504426"> 56</a></span> <a class="code" href="classarmnn_1_1_convolution3d_layer.html">Convolution3dLayer</a>* <a class="code" href="classarmnn_1_1_convolution3d_layer.html#aaa20b55aac06f7510f838b6fb5504426">Convolution3dLayer::Clone</a>(<a class="code" href="classarmnn_1_1_graph.html">Graph</a>& graph)<span class="keyword"> const</span></div> |
| 155 | <div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="keyword"></span>{</div> |
| 156 | <div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keyword">auto</span> layer = CloneBase<Convolution3dLayer>(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> |
| 157 | <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">return</span> std::move(layer);</div> |
| 158 | <div class="line"><a name="l00060"></a><span class="lineno"> 60</span> }</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"><a class="line" href="classarmnn_1_1_convolution3d_layer.html#a65ca562c882ad619684445a1402f415a"> 62</a></span> std::vector<TensorShape> <a class="code" href="classarmnn_1_1_convolution3d_layer.html#a65ca562c882ad619684445a1402f415a">Convolution3dLayer::InferOutputShapes</a>(<span class="keyword">const</span> std::vector<TensorShape>& inputShapes)<span class="keyword"> const</span></div> |
| 161 | <div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="keyword"></span>{</div> |
Nikhil Raj | 1dc83fe | 2024-05-16 09:47:51 +0100 | [diff] [blame^] | 162 | <div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordflow">if</span> (inputShapes.size() != 2)</div> |
| 163 | <div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  {</div> |
| 164 | <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">"inputShapes' size is \""</span> + std::to_string(inputShapes.size()) +</div> |
| 165 | <div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="stringliteral">"\" - should be \"2\"."</span>);</div> |
| 166 | <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  }</div> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 167 | <div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  </div> |
Nikhil Raj | 1dc83fe | 2024-05-16 09:47:51 +0100 | [diff] [blame^] | 168 | <div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& inputShape = inputShapes[0];</div> |
| 169 | <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& filterShape = inputShapes[1];</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="keywordflow">if</span> (inputShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() != 5)</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">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">"Convolutions will always have 5D input."</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>  </div> |
| 176 | <div class="line"><a name="l00078"></a><span class="lineno"> 78</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_convolution3d_descriptor.html#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> == 0)</div> |
| 177 | <div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  {</div> |
| 178 | <div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">"m_StrideX cannot be 0."</span>);</div> |
| 179 | <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  }</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> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> == 0)</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_exception.html">armnn::Exception</a>(<span class="stringliteral">"m_StrideY cannot be 0."</span>);</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>  </div> |
| 186 | <div class="line"><a name="l00088"></a><span class="lineno"> 88</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_convolution3d_descriptor.html#a5164336f6a1b15be0d434a6bbf7289da">m_StrideZ</a> == 0)</div> |
| 187 | <div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  {</div> |
| 188 | <div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">"m_StrideZ cannot be 0."</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>  <a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html">DataLayoutIndexed</a> dataLayoutIndex(<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div> |
| 192 | <div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  </div> |
| 193 | <div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inWidth = inputShape[dataLayoutIndex.<a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html#a414e6f95548e6f7a01d5028b55ad3941">GetWidthIndex</a>()];</div> |
| 194 | <div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inHeight = inputShape[dataLayoutIndex.<a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html#a61c00316c443adc233c24e85c6c5b740">GetHeightIndex</a>()];</div> |
| 195 | <div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inDepth = inputShape[dataLayoutIndex.<a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html#a45687cf74c4aeeacc6605a1f7ffe582a">GetDepthIndex</a>()];</div> |
| 196 | <div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inBatchSize = inputShape[0];</div> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 197 | <div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  </div> |
Nikhil Raj | 1dc83fe | 2024-05-16 09:47:51 +0100 | [diff] [blame^] | 198 | <div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="comment">// Conv3d Filter Layout: [D,H,W,I,O]</span></div> |
| 199 | <div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> filterDepth = filterShape[0];</div> |
| 200 | <div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dilatedFilterDepth = filterDepth + (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a16543bce17aa2e4d6e81c88f74227192">m_DilationZ</a> - 1) * (filterDepth - 1);</div> |
| 201 | <div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> readDepth = (inDepth + <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a83ca447892f460dabaa2f87d3dc3db61">m_PadFront</a> + <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a11d5c25face9b54e90f79ee8bdc1d0fb">m_PadBack</a>) - dilatedFilterDepth;</div> |
| 202 | <div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outDepth = 1 + (readDepth / <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a5164336f6a1b15be0d434a6bbf7289da">m_StrideZ</a>);</div> |
| 203 | <div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  </div> |
| 204 | <div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> filterHeight = filterShape[1];</div> |
| 205 | <div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dilatedFilterHeight = filterHeight + (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a> - 1) * (filterHeight - 1);</div> |
| 206 | <div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> readHeight = (inHeight + <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> + <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>) - dilatedFilterHeight;</div> |
| 207 | <div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outHeight = 1 + (readHeight / <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>);</div> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 208 | <div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  </div> |
Nikhil Raj | 1dc83fe | 2024-05-16 09:47:51 +0100 | [diff] [blame^] | 209 | <div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> filterWidth = filterShape[2];</div> |
| 210 | <div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dilatedFilterWidth = filterWidth + (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a> - 1) * (filterWidth - 1);</div> |
| 211 | <div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> readWidth = (inWidth + <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a> + <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>) - dilatedFilterWidth;</div> |
| 212 | <div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outWidth = 1 + (readWidth / <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>);</div> |
| 213 | <div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  </div> |
| 214 | <div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outChannels = filterShape[4];</div> |
| 215 | <div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outBatchSize = inBatchSize;</div> |
| 216 | <div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  </div> |
| 217 | <div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> tensorShape = <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a4dd0194b114cbf51da5b3a72569863ef">armnn::DataLayout::NDHWC</a> ?</div> |
| 218 | <div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>( { outBatchSize, outDepth, outHeight, outWidth, outChannels } ) :</div> |
| 219 | <div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>( { outBatchSize, outChannels, outDepth, outHeight, outWidth });</div> |
| 220 | <div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  </div> |
| 221 | <div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordflow">return</span> std::vector<TensorShape>({ tensorShape });</div> |
| 222 | <div class="line"><a name="l00124"></a><span class="lineno"> 124</span> }</div> |
| 223 | <div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  </div> |
| 224 | <div class="line"><a name="l00126"></a><span class="lineno"><a class="line" href="classarmnn_1_1_convolution3d_layer.html#a8c8f543d7e9729362c266d12ec169966"> 126</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_convolution3d_layer.html#a8c8f543d7e9729362c266d12ec169966">Convolution3dLayer::ValidateTensorShapesFromInputs</a>()</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>  <a class="code" href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">VerifyLayerConnections</a>(<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a62938964ffd34d5af3f2d56ca1183b18">GetNumInputs</a>(), <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</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>  <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> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 229 | <div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  </div> |
Nikhil Raj | 1dc83fe | 2024-05-16 09:47:51 +0100 | [diff] [blame^] | 230 | <div class="line"><a name="l00132"></a><span class="lineno"> 132</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> |
| 231 | <div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  </div> |
| 232 | <div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).GetConnection())</div> |
| 233 | <div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  {</div> |
| 234 | <div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"Convolution3dLayer: Weights should be connected to input slot 1."</span>);</div> |
| 235 | <div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  }</div> |
| 236 | <div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  </div> |
| 237 | <div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keyword">auto</span> inferredShapes = <a class="code" href="classarmnn_1_1_convolution3d_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>({</div> |
| 238 | <div class="line"><a name="l00140"></a><span class="lineno"> 140</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> |
| 239 | <div class="line"><a name="l00141"></a><span class="lineno"> 141</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> |
| 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="keywordflow">if</span> (inferredShapes.size() != 1)</div> |
| 242 | <div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  {</div> |
| 243 | <div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"inferredShapes has "</span></div> |
| 244 | <div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  + std::to_string(inferredShapes.size()) +</div> |
| 245 | <div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="stringliteral">" elements - should only have 1."</span>);</div> |
| 246 | <div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  }</div> |
| 247 | <div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  </div> |
| 248 | <div class="line"><a name="l00150"></a><span class="lineno"> 150</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">"Convolution3dLayer"</span>);</div> |
| 249 | <div class="line"><a name="l00151"></a><span class="lineno"> 151</span> }</div> |
| 250 | <div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  </div> |
| 251 | <div class="line"><a name="l00153"></a><span class="lineno"><a class="line" href="classarmnn_1_1_convolution3d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc"> 153</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_convolution3d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">Convolution3dLayer::ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.html">IStrategy</a>& strategy)<span class="keyword"> const</span></div> |
| 252 | <div class="line"><a name="l00154"></a><span class="lineno"> 154</span> <span class="keyword"></span>{</div> |
| 253 | <div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  strategy.<a class="code" href="classarmnn_1_1_i_strategy.html#ad4f8c9ff973cf6a603d26b56c5b34967">ExecuteStrategy</a>(<span class="keyword">this</span>, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>(), {}, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</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="comment">// namespace armnn</span></div> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 257 | </div><!-- fragment --></div><!-- contents --> |
| 258 | </div><!-- doc-content --> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 259 | <div class="ttc" id="aclassarmnn_1_1_convolution3d_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_convolution3d_layer.html#a65ca562c882ad619684445a1402f415a">armnn::Convolution3dLayer::InferOutputShapes</a></div><div class="ttdeci">std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override</div><div class="ttdoc">By default returns inputShapes if the number of inputs are equal to number of outputs,...</div><div class="ttdef"><b>Definition:</b> <a href="_convolution3d_layer_8cpp_source.html#l00062">Convolution3dLayer.cpp:62</a></div></div> |
Nikhil Raj | 1dc83fe | 2024-05-16 09:47:51 +0100 | [diff] [blame^] | 260 | <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_a62938964ffd34d5af3f2d56ca1183b18"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#a62938964ffd34d5af3f2d56ca1183b18">armnn::Convolution3dDescriptor::GetNumInputs</a></div><div class="ttdeci">uint32_t GetNumInputs() const</div><div class="ttdoc">Get the number of views/inputs.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.html#l00465">Descriptors.cpp:465</a></div></div> |
| 261 | <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> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 262 | <div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_a2ca654770a1890f15e3c7aab98e434a5"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#a2ca654770a1890f15e3c7aab98e434a5">armnn::LayerWithParameters::SerializeLayerParameters</a></div><div class="ttdeci">void SerializeLayerParameters(ParameterStringifyFunction &fn) const override</div><div class="ttdoc">Helper to serialize the layer parameters to string (currently used in DotSerializer and company).</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00023">LayerWithParameters.hpp:23</a></div></div> |
| 263 | <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_a83ca447892f460dabaa2f87d3dc3db61"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#a83ca447892f460dabaa2f87d3dc3db61">armnn::Convolution3dDescriptor::m_PadFront</a></div><div class="ttdeci">uint32_t m_PadFront</div><div class="ttdoc">Padding front value in the depth dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00637">Descriptors.hpp:637</a></div></div> |
| 264 | <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> |
| 265 | <div class="ttc" id="aclassarmnn_utils_1_1_data_layout_indexed_html"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.html">armnnUtils::DataLayoutIndexed</a></div><div class="ttdoc">Provides access to the appropriate indexes for Channels, Height and Width based on DataLayout.</div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.html#l00017">DataLayoutIndexed.hpp:17</a></div></div> |
Nikhil Raj | 1dc83fe | 2024-05-16 09:47:51 +0100 | [diff] [blame^] | 266 | <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> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 267 | <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> |
| 268 | <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#a56b51f56cef50cdfa554258eecdab046">armnn::Convolution3dDescriptor::m_PadTop</a></div><div class="ttdeci">uint32_t m_PadTop</div><div class="ttdoc">Padding top value in the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00633">Descriptors.hpp:633</a></div></div> |
| 269 | <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_aa3c6a77a963a98ccb8ea7b8fd008a8c1"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#aa3c6a77a963a98ccb8ea7b8fd008a8c1">armnn::Convolution3dDescriptor::m_DilationX</a></div><div class="ttdeci">uint32_t m_DilationX</div><div class="ttdoc">Dilation along x axis.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00647">Descriptors.hpp:647</a></div></div> |
| 270 | <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#aa9e49717ebdb741e8c767741647fc618">armnn::Convolution3dDescriptor::m_PadBottom</a></div><div class="ttdeci">uint32_t m_PadBottom</div><div class="ttdoc">Padding bottom value in the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00635">Descriptors.hpp:635</a></div></div> |
| 271 | <div class="ttc" id="a_convolution3d_layer_8hpp_html"><div class="ttname"><a href="_convolution3d_layer_8hpp.html">Convolution3dLayer.hpp</a></div></div> |
| 272 | <div class="ttc" id="aclassarmnn_1_1_i_strategy_html"><div class="ttname"><a href="classarmnn_1_1_i_strategy.html">armnn::IStrategy</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_strategy_8hpp_source.html#l00016">IStrategy.hpp:16</a></div></div> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 273 | <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> |
| 274 | <div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_afa3e8a8f23589b1eaddbe203825bbdcf"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">armnn::LayerWithParameters< Convolution3dDescriptor >::GetParameters</a></div><div class="ttdeci">const Convolution3dDescriptor & GetParameters() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00019">LayerWithParameters.hpp:19</a></div></div> |
| 275 | <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> |
| 276 | <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> |
Nikhil Raj | 6f92c8e | 2023-11-22 11:41:15 +0000 | [diff] [blame] | 277 | <div class="ttc" id="astructarmnn_1_1_convolution3d_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_convolution3d_queue_descriptor.html">armnn::Convolution3dQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00216">WorkloadData.hpp:216</a></div></div> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 278 | <div class="ttc" id="aclassarmnn_utils_1_1_data_layout_indexed_html_a61c00316c443adc233c24e85c6c5b740"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.html#a61c00316c443adc233c24e85c6c5b740">armnnUtils::DataLayoutIndexed::GetHeightIndex</a></div><div class="ttdeci">unsigned int GetHeightIndex() const</div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.html#l00024">DataLayoutIndexed.hpp:24</a></div></div> |
| 279 | <div class="ttc" id="aclassarmnn_1_1_convolution3d_layer_html_adfa912d0c4c6c00f1af2cbfa799572b7"><div class="ttname"><a href="classarmnn_1_1_convolution3d_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">armnn::Convolution3dLayer::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 Convolution3d type.</div><div class="ttdef"><b>Definition:</b> <a href="_convolution3d_layer_8cpp_source.html#l00048">Convolution3dLayer.cpp:48</a></div></div> |
| 280 | <div class="ttc" id="anamespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0a4dd0194b114cbf51da5b3a72569863ef"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a4dd0194b114cbf51da5b3a72569863ef">armnn::DataLayout::NDHWC</a></div><div class="ttdeci">@ NDHWC</div></div> |
Nikhil Raj | 1dc83fe | 2024-05-16 09:47:51 +0100 | [diff] [blame^] | 281 | <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> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 282 | <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> |
| 283 | <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#a002bc30e590d78cbb4f4d12171055ca7">armnn::Convolution3dDescriptor::m_PadRight</a></div><div class="ttdeci">uint32_t m_PadRight</div><div class="ttdoc">Padding right value in the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00631">Descriptors.hpp:631</a></div></div> |
| 284 | <div class="ttc" id="aclassarmnn_1_1_convolution3d_layer_html_aaa20b55aac06f7510f838b6fb5504426"><div class="ttname"><a href="classarmnn_1_1_convolution3d_layer.html#aaa20b55aac06f7510f838b6fb5504426">armnn::Convolution3dLayer::Clone</a></div><div class="ttdeci">Convolution3dLayer * 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="_convolution3d_layer_8cpp_source.html#l00056">Convolution3dLayer.cpp:56</a></div></div> |
| 285 | <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< Convolution3dDescriptor >::m_Param</a></div><div class="ttdeci">Convolution3dDescriptor 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> |
| 286 | <div class="ttc" id="aclassarmnn_1_1_convolution3d_layer_html_a2ca654770a1890f15e3c7aab98e434a5"><div class="ttname"><a href="classarmnn_1_1_convolution3d_layer.html#a2ca654770a1890f15e3c7aab98e434a5">armnn::Convolution3dLayer::SerializeLayerParameters</a></div><div class="ttdeci">void SerializeLayerParameters(ParameterStringifyFunction &fn) const override</div><div class="ttdoc">Helper to serialize the layer parameters to string.</div><div class="ttdef"><b>Definition:</b> <a href="_convolution3d_layer_8cpp_source.html#l00023">Convolution3dLayer.cpp:23</a></div></div> |
| 287 | <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> |
| 288 | <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< Convolution3dDescriptor >::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> |
| 289 | <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_a16543bce17aa2e4d6e81c88f74227192"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#a16543bce17aa2e4d6e81c88f74227192">armnn::Convolution3dDescriptor::m_DilationZ</a></div><div class="ttdeci">uint32_t m_DilationZ</div><div class="ttdoc">Dilation along z axis.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00651">Descriptors.hpp:651</a></div></div> |
Nikhil Raj | 1dc83fe | 2024-05-16 09:47:51 +0100 | [diff] [blame^] | 290 | <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> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 291 | <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> |
| 292 | <div class="ttc" id="anamespacearmnn_utils_html"><div class="ttname"><a href="namespacearmnn_utils.html">armnnUtils</a></div><div class="ttdef"><b>Definition:</b> <a href="_compatible_types_8hpp_source.html#l00010">CompatibleTypes.hpp:10</a></div></div> |
| 293 | <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::Convolution3dDescriptor::m_PadLeft</a></div><div class="ttdeci">uint32_t m_PadLeft</div><div class="ttdoc">Padding left value in the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00629">Descriptors.hpp:629</a></div></div> |
| 294 | <div class="ttc" id="anamespacearmnn_html_a8c42c6647e31ebe525aeba878d133e45"><div class="ttname"><a href="namespacearmnn.html#a8c42c6647e31ebe525aeba878d133e45">armnn::ParameterStringifyFunction</a></div><div class="ttdeci">std::function< void(const std::string &name, const std::string &value)> ParameterStringifyFunction</div><div class="ttdef"><b>Definition:</b> <a href="_serialize_layer_parameters_8hpp_source.html#l00014">SerializeLayerParameters.hpp:14</a></div></div> |
Nikhil Raj | 1dc83fe | 2024-05-16 09:47:51 +0100 | [diff] [blame^] | 295 | <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> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 296 | <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">armnn::Convolution3dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00643">Descriptors.hpp:643</a></div></div> |
Nikhil Raj | 1dc83fe | 2024-05-16 09:47:51 +0100 | [diff] [blame^] | 297 | <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> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 298 | <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#afe6a3377c4531315354def9023c8fdda">armnn::Convolution3dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00641">Descriptors.hpp:641</a></div></div> |
| 299 | <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html">armnn::Convolution3dDescriptor</a></div><div class="ttdoc">A Convolution3dDescriptor for the Convolution3dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00588">Descriptors.hpp:588</a></div></div> |
Nikhil Raj | 1dc83fe | 2024-05-16 09:47:51 +0100 | [diff] [blame^] | 300 | <div class="ttc" id="aclassarmnn_1_1_exception_html"><div class="ttname"><a href="classarmnn_1_1_exception.html">armnn::Exception</a></div><div class="ttdoc">Base class for all ArmNN exceptions so that users can filter to just those.</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00046">Exceptions.hpp:46</a></div></div> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 301 | <div class="ttc" id="aclassarmnn_utils_1_1_data_layout_indexed_html_a414e6f95548e6f7a01d5028b55ad3941"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.html#a414e6f95548e6f7a01d5028b55ad3941">armnnUtils::DataLayoutIndexed::GetWidthIndex</a></div><div class="ttdeci">unsigned int GetWidthIndex() const</div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.html#l00025">DataLayoutIndexed.hpp:25</a></div></div> |
Nikhil Raj | 1dc83fe | 2024-05-16 09:47:51 +0100 | [diff] [blame^] | 302 | <div class="ttc" id="anamespacearmnn_html_aed508ea8d7b3ef4e171cb6f178acf086"><div class="ttname"><a href="namespacearmnn.html#aed508ea8d7b3ef4e171cb6f178acf086">armnn::GetNumInputs</a></div><div class="ttdeci">uint32_t GetNumInputs(bool biasEnabled)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.html#l00455">Descriptors.cpp:455</a></div></div> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 303 | <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 | 38b600d | 2024-02-15 15:02:19 +0000 | [diff] [blame] | 304 | <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00193">Tensor.hpp:193</a></div></div> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 305 | <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_a11d5c25face9b54e90f79ee8bdc1d0fb"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#a11d5c25face9b54e90f79ee8bdc1d0fb">armnn::Convolution3dDescriptor::m_PadBack</a></div><div class="ttdeci">uint32_t m_PadBack</div><div class="ttdoc">Padding back value in the depth dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00639">Descriptors.hpp:639</a></div></div> |
| 306 | <div class="ttc" id="aclassarmnn_1_1_convolution3d_layer_html"><div class="ttname"><a href="classarmnn_1_1_convolution3d_layer.html">armnn::Convolution3dLayer</a></div><div class="ttdoc">This layer represents a convolution 3d operation.</div><div class="ttdef"><b>Definition:</b> <a href="_convolution3d_layer_8hpp_source.html#l00016">Convolution3dLayer.hpp:16</a></div></div> |
| 307 | <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_a302b688d88dd73cde0fb1faef6679907"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#a302b688d88dd73cde0fb1faef6679907">armnn::Convolution3dDescriptor::m_DilationY</a></div><div class="ttdeci">uint32_t m_DilationY</div><div class="ttdoc">Dilation along y axis.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00649">Descriptors.hpp:649</a></div></div> |
| 308 | <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> |
| 309 | <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_a5164336f6a1b15be0d434a6bbf7289da"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#a5164336f6a1b15be0d434a6bbf7289da">armnn::Convolution3dDescriptor::m_StrideZ</a></div><div class="ttdeci">uint32_t m_StrideZ</div><div class="ttdoc">Stride value when proceeding through input for the depth dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00645">Descriptors.hpp:645</a></div></div> |
Nikhil Raj | 1dc83fe | 2024-05-16 09:47:51 +0100 | [diff] [blame^] | 310 | <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> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 311 | <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::Convolution3dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NDHWC, NCDHW).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00655">Descriptors.hpp:655</a></div></div> |
Nikhil Raj | 1dc83fe | 2024-05-16 09:47:51 +0100 | [diff] [blame^] | 312 | <div class="ttc" id="aclassarmnn_1_1_convolution3d_layer_html_a8c8f543d7e9729362c266d12ec169966"><div class="ttname"><a href="classarmnn_1_1_convolution3d_layer.html#a8c8f543d7e9729362c266d12ec169966">armnn::Convolution3dLayer::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 Convolution3dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_convolution3d_layer_8cpp_source.html#l00126">Convolution3dLayer.cpp:126</a></div></div> |
| 313 | <div class="ttc" id="aclassarmnn_1_1_convolution3d_layer_html_a46fc3fdd4b2a5dd6d184e57983cf20bc"><div class="ttname"><a href="classarmnn_1_1_convolution3d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">armnn::Convolution3dLayer::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(IStrategy &strategy) const override</div><div class="ttdoc">Apply a visitor to this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_convolution3d_layer_8cpp_source.html#l00153">Convolution3dLayer.cpp:153</a></div></div> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 314 | <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">armnn::LayerType::Convolution3d</a></div><div class="ttdeci">@ Convolution3d</div></div> |
| 315 | <div class="ttc" id="aclassarmnn_1_1_convolution3d_layer_html_af71f5cd53ac4c66c73231b3da95f039a"><div class="ttname"><a href="classarmnn_1_1_convolution3d_layer.html#af71f5cd53ac4c66c73231b3da95f039a">armnn::Convolution3dLayer::Convolution3dLayer</a></div><div class="ttdeci">Convolution3dLayer(const Convolution3dDescriptor &param, const char *name)</div><div class="ttdoc">Constructor to create a Convolution3dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_convolution3d_layer_8cpp_source.html#l00018">Convolution3dLayer.cpp:18</a></div></div> |
| 316 | <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> |
Nikhil Raj | 6f92c8e | 2023-11-22 11:41:15 +0000 | [diff] [blame] | 317 | <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> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 318 | <div class="ttc" id="a_data_layout_indexed_8hpp_html"><div class="ttname"><a href="_data_layout_indexed_8hpp.html">DataLayoutIndexed.hpp</a></div></div> |
| 319 | <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> |
| 320 | <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> |
| 321 | <div class="ttc" id="aclassarmnn_1_1_i_strategy_html_ad4f8c9ff973cf6a603d26b56c5b34967"><div class="ttname"><a href="classarmnn_1_1_i_strategy.html#ad4f8c9ff973cf6a603d26b56c5b34967">armnn::IStrategy::ExecuteStrategy</a></div><div class="ttdeci">virtual void ExecuteStrategy(const IConnectableLayer *layer, const armnn::BaseDescriptor &descriptor, const std::vector< armnn::ConstTensor > &constants, const char *name, const armnn::LayerBindingId id=0)=0</div></div> |
| 322 | <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> |
| 323 | <div class="ttc" id="aclassarmnn_utils_1_1_data_layout_indexed_html_a45687cf74c4aeeacc6605a1f7ffe582a"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.html#a45687cf74c4aeeacc6605a1f7ffe582a">armnnUtils::DataLayoutIndexed::GetDepthIndex</a></div><div class="ttdeci">unsigned int GetDepthIndex() const</div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.html#l00026">DataLayoutIndexed.hpp:26</a></div></div> |
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