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| <div class="title">PreluLayer.cpp</div> </div> |
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| <a href="_prelu_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> |
| <div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017,2019-2024 Arm Ltd and Contributors. All rights reserved.</span></div> |
| <div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div> |
| <div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div> |
| <div class="line"><a name="l00005"></a><span class="lineno"> 5</span>  </div> |
| <div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_prelu_layer_8hpp.html">PreluLayer.hpp</a>"</span></div> |
| <div class="line"><a name="l00007"></a><span class="lineno"> 7</span>  </div> |
| <div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_layer_clone_base_8hpp.html">LayerCloneBase.hpp</a>"</span></div> |
| <div class="line"><a name="l00009"></a><span class="lineno"> 9</span>  </div> |
| <div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_numeric_cast_8hpp.html">armnn/utility/NumericCast.hpp</a>></span></div> |
| <div class="line"><a name="l00011"></a><span class="lineno"> 11</span>  </div> |
| <div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <<a class="code" href="_tensor_handle_8hpp.html">armnn/backends/TensorHandle.hpp</a>></span></div> |
| <div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <<a class="code" href="_workload_data_8hpp.html">armnn/backends/WorkloadData.hpp</a>></span></div> |
| <div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <<a class="code" href="_workload_factory_8hpp.html">armnn/backends/WorkloadFactory.hpp</a>></span></div> |
| <div class="line"><a name="l00015"></a><span class="lineno"> 15</span>  </div> |
| <div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div> |
| <div class="line"><a name="l00017"></a><span class="lineno"> 17</span> {</div> |
| <div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  </div> |
| <div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="classarmnn_1_1_prelu_layer.html#ad3ae922a3829fa9cf40bd13bc211f40b"> 19</a></span> <a class="code" href="classarmnn_1_1_prelu_layer.html#ad3ae922a3829fa9cf40bd13bc211f40b">PreluLayer::PreluLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> |
| <div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  : <a class="code" href="classarmnn_1_1_layer.html">Layer</a>(2, 1, <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>::<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">Prelu</a>, name)</div> |
| <div class="line"><a name="l00021"></a><span class="lineno"> 21</span> {}</div> |
| <div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  </div> |
| <div class="line"><a name="l00023"></a><span class="lineno"><a class="line" href="classarmnn_1_1_prelu_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7"> 23</a></span> std::unique_ptr<IWorkload> <a class="code" href="classarmnn_1_1_prelu_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">PreluLayer::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> |
| <div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <a class="code" href="structarmnn_1_1_prelu_queue_descriptor.html">PreluQueueDescriptor</a> descriptor;</div> |
| <div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <a class="code" href="classarmnn_1_1_layer.html#af7f0460d32511de0da525f1817d13e8c">SetAdditionalInfo</a>(descriptor);</div> |
| <div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  </div> |
| <div class="line"><a name="l00028"></a><span class="lineno"> 28</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#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">LayerType::Prelu</a>, descriptor, <a class="code" href="classarmnn_1_1_layer.html#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a>(descriptor));</div> |
| <div class="line"><a name="l00029"></a><span class="lineno"> 29</span> }</div> |
| <div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  </div> |
| <div class="line"><a name="l00031"></a><span class="lineno"><a class="line" href="classarmnn_1_1_prelu_layer.html#af5dd85c2adbf7e9f95d9c984157620a9"> 31</a></span> <a class="code" href="classarmnn_1_1_prelu_layer.html">PreluLayer</a>* <a class="code" href="classarmnn_1_1_prelu_layer.html#af5dd85c2adbf7e9f95d9c984157620a9">PreluLayer::Clone</a>(<a class="code" href="classarmnn_1_1_graph.html">Graph</a>& graph)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keyword">auto</span> layer = CloneBase<PreluLayer>(graph, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div> |
| <div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  </div> |
| <div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keywordflow">return</span> std::move(layer);</div> |
| <div class="line"><a name="l00036"></a><span class="lineno"> 36</span> }</div> |
| <div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  </div> |
| <div class="line"><a name="l00038"></a><span class="lineno"><a class="line" href="classarmnn_1_1_prelu_layer.html#a65ca562c882ad619684445a1402f415a"> 38</a></span> std::vector<TensorShape> <a class="code" href="classarmnn_1_1_prelu_layer.html#a65ca562c882ad619684445a1402f415a">PreluLayer::InferOutputShapes</a>(<span class="keyword">const</span> std::vector<TensorShape>& inputShapes)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordflow">if</span> (inputShapes.size() != 2)</div> |
| <div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  {</div> |
| <div class="line"><a name="l00042"></a><span class="lineno"> 42</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> |
| <div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="stringliteral">"\" - should be \"2\"."</span>);</div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  }</div> |
| <div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  </div> |
| <div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& inputShape = inputShapes[0];</div> |
| <div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& alphaShape = inputShapes[1];</div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  </div> |
| <div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShapeDimensions = inputShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div> |
| <div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> alphaShapeDimensions = alphaShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div> |
| <div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  </div> |
| <div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">if</span> (inputShapeDimensions == 0)</div> |
| <div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  {</div> |
| <div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">"inputShapeDimensions must be greater than 0."</span>);</div> |
| <div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  }</div> |
| <div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  </div> |
| <div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordflow">if</span> (alphaShapeDimensions == 0)</div> |
| <div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  {</div> |
| <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">"alphaShapeDimensions must be not be zero (\""</span></div> |
| <div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  + std::to_string(alphaShapeDimensions) + <span class="stringliteral">"\")"</span>);</div> |
| <div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  }</div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  </div> |
| <div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="comment">// The size of the output is the maximum size along each dimension of the input operands,</span></div> |
| <div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="comment">// it starts with the trailing dimensions, and works its way forward</span></div> |
| <div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  </div> |
| <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputDimensions = std::max(inputShapeDimensions, alphaShapeDimensions);</div> |
| <div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  </div> |
| <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> outputShape(outputDimensions);</div> |
| <div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  </div> |
| <div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordtype">int</span> inputShapeIndex = armnn::numeric_cast<int>(inputShapeDimensions) - 1;</div> |
| <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordtype">int</span> alphaShapeIndex = armnn::numeric_cast<int>(alphaShapeDimensions) - 1;</div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShapeIndex = outputDimensions - 1;</div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  </div> |
| <div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="comment">// Loop backwards through the common part of the shapes</span></div> |
| <div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">while</span> (inputShapeIndex >= 0 && alphaShapeIndex >= 0)</div> |
| <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  {</div> |
| <div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputDimension = inputShape[armnn::numeric_cast<unsigned int>(inputShapeIndex)];</div> |
| <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> alphaDimension = alphaShape[armnn::numeric_cast<unsigned int>(alphaShapeIndex)];</div> |
| <div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  </div> |
| <div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="comment">// Check that the inputs are broadcast compatible</span></div> |
| <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordflow">if</span> (inputDimension != alphaDimension && inputDimension != 1 && alphaDimension != 1)</div> |
| <div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  {</div> |
| <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">"PreluLayer: Dimensions should either match or one should be of size 1"</span>);</div> |
| <div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  }</div> |
| <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  </div> |
| <div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  outputShape[outputShapeIndex] = std::max(inputDimension, alphaDimension);</div> |
| <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  </div> |
| <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  inputShapeIndex--;</div> |
| <div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  alphaShapeIndex--;</div> |
| <div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  outputShapeIndex--;</div> |
| <div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  }</div> |
| <div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  </div> |
| <div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="comment">// Loop backwards through the remaing part of the input shape (if any)</span></div> |
| <div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">while</span> (inputShapeIndex >= 0)</div> |
| <div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  {</div> |
| <div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  outputShape[outputShapeIndex] = inputShape[armnn::numeric_cast<unsigned int>(inputShapeIndex)];</div> |
| <div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  </div> |
| <div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  inputShapeIndex--;</div> |
| <div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  outputShapeIndex--;</div> |
| <div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  }</div> |
| <div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  </div> |
| <div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="comment">// Loop backwards through the remaing part of the alpha shape (if any)</span></div> |
| <div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordflow">while</span> (alphaShapeIndex >= 0)</div> |
| <div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  {</div> |
| <div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  outputShape[outputShapeIndex] = alphaShape[armnn::numeric_cast<unsigned int>(alphaShapeIndex)];</div> |
| <div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  </div> |
| <div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  alphaShapeIndex--;</div> |
| <div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  outputShapeIndex--;</div> |
| <div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  }</div> |
| <div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  </div> |
| <div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordflow">return</span> { outputShape };</div> |
| <div class="line"><a name="l00112"></a><span class="lineno"> 112</span> }</div> |
| <div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  </div> |
| <div class="line"><a name="l00114"></a><span class="lineno"><a class="line" href="classarmnn_1_1_prelu_layer.html#a8c8f543d7e9729362c266d12ec169966"> 114</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_prelu_layer.html#a8c8f543d7e9729362c266d12ec169966">PreluLayer::ValidateTensorShapesFromInputs</a>()</div> |
| <div class="line"><a name="l00115"></a><span class="lineno"> 115</span> {</div> |
| <div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <a class="code" href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">VerifyLayerConnections</a>(2, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div> |
| <div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  </div> |
| <div class="line"><a name="l00118"></a><span class="lineno"> 118</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> |
| <div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  </div> |
| <div class="line"><a name="l00120"></a><span class="lineno"> 120</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> |
| <div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  </div> |
| <div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  std::vector<TensorShape> inferredShapes = <a class="code" href="classarmnn_1_1_prelu_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>(</div> |
| <div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  {</div> |
| <div class="line"><a name="l00124"></a><span class="lineno"> 124</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> |
| <div class="line"><a name="l00125"></a><span class="lineno"> 125</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> |
| <div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  });</div> |
| <div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  </div> |
| <div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordflow">if</span> (inferredShapes.size() != 1)</div> |
| <div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  {</div> |
| <div class="line"><a name="l00130"></a><span class="lineno"> 130</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> |
| <div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  + std::to_string(inferredShapes.size()) +</div> |
| <div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="stringliteral">" elements - should only have 1."</span>);</div> |
| <div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  }</div> |
| <div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  </div> |
| <div class="line"><a name="l00135"></a><span class="lineno"> 135</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">"PreluLayer"</span>);</div> |
| <div class="line"><a name="l00136"></a><span class="lineno"> 136</span> }</div> |
| <div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  </div> |
| <div class="line"><a name="l00138"></a><span class="lineno"><a class="line" href="classarmnn_1_1_prelu_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc"> 138</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_prelu_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">PreluLayer::ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.html">IStrategy</a>& strategy)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00139"></a><span class="lineno"> 139</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00140"></a><span class="lineno"> 140</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.html#a94a487f29157eeec10e2f9a372487bcc">GetParameters</a>(), {}, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div> |
| <div class="line"><a name="l00141"></a><span class="lineno"> 141</span> }</div> |
| <div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  </div> |
| <div class="line"><a name="l00143"></a><span class="lineno"> 143</span> } <span class="comment">// namespace armnn</span></div> |
| </div><!-- fragment --></div><!-- contents --> |
| </div><!-- doc-content --> |
| <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> |
| <div class="ttc" id="a_workload_data_8hpp_html"><div class="ttname"><a href="_workload_data_8hpp.html">WorkloadData.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_prelu_layer_html_ad3ae922a3829fa9cf40bd13bc211f40b"><div class="ttname"><a href="classarmnn_1_1_prelu_layer.html#ad3ae922a3829fa9cf40bd13bc211f40b">armnn::PreluLayer::PreluLayer</a></div><div class="ttdeci">PreluLayer(const char *name)</div><div class="ttdoc">Constructor to create a PreluLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_prelu_layer_8cpp_source.html#l00019">PreluLayer.cpp:19</a></div></div> |
| <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> |
| <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> |
| <div class="ttc" id="aclassarmnn_1_1_prelu_layer_html"><div class="ttname"><a href="classarmnn_1_1_prelu_layer.html">armnn::PreluLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_prelu_layer_8hpp_source.html#l00014">PreluLayer.hpp:14</a></div></div> |
| <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> |
| <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> |
| <div class="ttc" id="astructarmnn_1_1_prelu_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_prelu_queue_descriptor.html">armnn::PreluQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00539">WorkloadData.hpp:539</a></div></div> |
| <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> |
| <div class="ttc" id="a_workload_factory_8hpp_html"><div class="ttname"><a href="_workload_factory_8hpp.html">WorkloadFactory.hpp</a></div></div> |
| <div class="ttc" id="a_numeric_cast_8hpp_html"><div class="ttname"><a href="_numeric_cast_8hpp.html">NumericCast.hpp</a></div></div> |
| <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> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html"><div class="ttname"><a href="classarmnn_1_1_layer.html">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00230">Layer.hpp:230</a></div></div> |
| <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> |
| <div class="ttc" id="a_prelu_layer_8hpp_html"><div class="ttname"><a href="_prelu_layer_8hpp.html">PreluLayer.hpp</a></div></div> |
| <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> |
| <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> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a0c5967f09e0669c840ebb1ed0da85e32">armnn::LayerType::Prelu</a></div><div class="ttdeci">@ Prelu</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_a30a858b2b26d651a066537e499fbf40d"><div class="ttname"><a href="classarmnn_1_1_layer.html#a30a858b2b26d651a066537e499fbf40d">armnn::Layer::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_8hpp_source.html#l00409">Layer.hpp:409</a></div></div> |
| <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> |
| <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> |
| <div class="ttc" id="aclassarmnn_1_1_prelu_layer_html_adfa912d0c4c6c00f1af2cbfa799572b7"><div class="ttname"><a href="classarmnn_1_1_prelu_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">armnn::PreluLayer::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 PReLU type.</div><div class="ttdef"><b>Definition:</b> <a href="_prelu_layer_8cpp_source.html#l00023">PreluLayer.cpp:23</a></div></div> |
| <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> |
| <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> |
| <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> |
| <div class="ttc" id="aclassarmnn_1_1_prelu_layer_html_a46fc3fdd4b2a5dd6d184e57983cf20bc"><div class="ttname"><a href="classarmnn_1_1_prelu_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">armnn::PreluLayer::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="_prelu_layer_8cpp_source.html#l00138">PreluLayer.cpp:138</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_a94a487f29157eeec10e2f9a372487bcc"><div class="ttname"><a href="classarmnn_1_1_layer.html#a94a487f29157eeec10e2f9a372487bcc">armnn::Layer::GetParameters</a></div><div class="ttdeci">virtual const BaseDescriptor & GetParameters() const override</div><div class="ttdoc">If the layer has a descriptor return it.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00378">Layer.hpp:378</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_prelu_layer_html_a8c8f543d7e9729362c266d12ec169966"><div class="ttname"><a href="classarmnn_1_1_prelu_layer.html#a8c8f543d7e9729362c266d12ec169966">armnn::PreluLayer::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 PreluLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_prelu_layer_8cpp_source.html#l00114">PreluLayer.cpp:114</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_prelu_layer_html_af5dd85c2adbf7e9f95d9c984157620a9"><div class="ttname"><a href="classarmnn_1_1_prelu_layer.html#af5dd85c2adbf7e9f95d9c984157620a9">armnn::PreluLayer::Clone</a></div><div class="ttdeci">PreluLayer * 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="_prelu_layer_8cpp_source.html#l00031">PreluLayer.cpp:31</a></div></div> |
| <div class="ttc" id="a_tensor_handle_8hpp_html"><div class="ttname"><a href="_tensor_handle_8hpp.html">TensorHandle.hpp</a></div></div> |
| <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> |
| <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> |
| <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> |
| <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> |
| <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> |
| <div class="ttc" id="aclassarmnn_1_1_prelu_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_prelu_layer.html#a65ca562c882ad619684445a1402f415a">armnn::PreluLayer::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="_prelu_layer_8cpp_source.html#l00038">PreluLayer.cpp:38</a></div></div> |
| <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> |
| <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> |
| <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> |
| <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> |
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