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| <a href="_infer_output_tests_8hpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd. 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">#pragma once</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="_test_utils_8hpp.html">TestUtils.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> </div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_graph_8hpp.html">Graph.hpp</a>></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <<a class="code" href="_arg_min_max_layer_8hpp.html">layers/ArgMinMaxLayer.hpp</a>></span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <<a class="code" href="_batch_to_space_nd_layer_8hpp.html">layers/BatchToSpaceNdLayer.hpp</a>></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <<a class="code" href="_space_to_depth_layer_8hpp.html">layers/SpaceToDepthLayer.hpp</a>></span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <<a class="code" href="_prelu_layer_8hpp.html">layers/PreluLayer.hpp</a>></span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include <<a class="code" href="_stack_layer_8hpp.html">layers/StackLayer.hpp</a>></span></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> <span class="preprocessor">#include <boost/algorithm/string.hpp></span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="preprocessor">#include <boost/test/unit_test.hpp></span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div><div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="_infer_output_tests_8hpp.html#a673e4af24225bb5d4e5e502befdaf122"> 21</a></span> <span class="keywordtype">void</span> <a class="code" href="_infer_output_tests_8hpp.html#a673e4af24225bb5d4e5e502befdaf122">ArgMinMaxInferOutputShapeImpl</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.html">armnn::ArgMinMaxDescriptor</a> descriptor,</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="keyword">const</span> std::vector<armnn::TensorShape>& inputShapes,</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  std::vector<armnn::TensorShape>& outputShapes)</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> {</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <a class="code" href="classarmnn_1_1_graph.html">armnn::Graph</a> graph;</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="keyword">auto</span> argMinMaxLayer = graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_arg_min_max_layer.html">armnn::ArgMinMaxLayer</a>>(descriptor, <span class="stringliteral">"argMinMax"</span>);</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  outputShapes = argMinMaxLayer-><a class="code" href="classarmnn_1_1_arg_min_max_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>(inputShapes);</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> }</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div><div class="line"><a name="l00030"></a><span class="lineno"><a class="line" href="_infer_output_tests_8hpp.html#a61f78d19deeaf960ac03ed4a7db98b8d"> 30</a></span> <span class="keywordtype">void</span> <a class="code" href="_infer_output_tests_8hpp.html#a61f78d19deeaf960ac03ed4a7db98b8d">ArgMinMaxInferOutputShape4dTest</a>()</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> {</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <a class="code" href="classarmnn_1_1_graph.html">armnn::Graph</a> graph;</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.html">armnn::ArgMinMaxDescriptor</a> descriptor;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  descriptor.<a class="code" href="structarmnn_1_1_arg_min_max_descriptor.html#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a> = 2;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keyword">const</span> std::vector<armnn::TensorShape> inputShapes</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  {</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  { 1, 3, 2, 4 }</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  };</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  std::vector<armnn::TensorShape> outputShapes;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  BOOST_CHECK_NO_THROW(<a class="code" href="_infer_output_tests_8hpp.html#a673e4af24225bb5d4e5e502befdaf122">ArgMinMaxInferOutputShapeImpl</a>(descriptor, inputShapes, outputShapes));</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> </div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> expectedOutputShape( { 1, 3, 4 } );</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(outputShapes.size() == 1);</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(outputShapes[0] == expectedOutputShape);</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> }</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div><div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="_infer_output_tests_8hpp.html#a5eba187ee3dcec0db603b27b0954cec9"> 49</a></span> <span class="keywordtype">void</span> <a class="code" href="_infer_output_tests_8hpp.html#a5eba187ee3dcec0db603b27b0954cec9">ArgMinMaxInferOutputShape3dTest</a>()</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> {</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <a class="code" href="classarmnn_1_1_graph.html">armnn::Graph</a> graph;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.html">armnn::ArgMinMaxDescriptor</a> descriptor;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  descriptor.<a class="code" href="structarmnn_1_1_arg_min_max_descriptor.html#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a> = 0;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keyword">const</span> std::vector<armnn::TensorShape> inputShapes</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>  { 1, 3, 2 }</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> </div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  std::vector<armnn::TensorShape> outputShapes;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  BOOST_CHECK_NO_THROW(<a class="code" href="_infer_output_tests_8hpp.html#a673e4af24225bb5d4e5e502befdaf122">ArgMinMaxInferOutputShapeImpl</a>(descriptor, inputShapes, outputShapes));</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>  <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> expectedOutputShape( { 3, 2 } );</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(outputShapes.size() == 1);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(outputShapes[0] == expectedOutputShape);</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> }</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div><div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="_infer_output_tests_8hpp.html#ae58e3f211ae2a124b13290c8b89aa87b"> 68</a></span> <span class="keywordtype">void</span> <a class="code" href="_infer_output_tests_8hpp.html#ae58e3f211ae2a124b13290c8b89aa87b">ArgMinMaxInferOutputShape2dTest</a>()</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>  <a class="code" href="classarmnn_1_1_graph.html">armnn::Graph</a> graph;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.html">armnn::ArgMinMaxDescriptor</a> descriptor;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  descriptor.<a class="code" href="structarmnn_1_1_arg_min_max_descriptor.html#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a> = 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="keyword">const</span> std::vector<armnn::TensorShape> inputShapes</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  {</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  { 3, 2 }</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  };</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  std::vector<armnn::TensorShape> outputShapes;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  BOOST_CHECK_NO_THROW(<a class="code" href="_infer_output_tests_8hpp.html#a673e4af24225bb5d4e5e502befdaf122">ArgMinMaxInferOutputShapeImpl</a>(descriptor, inputShapes, outputShapes));</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> expectedOutputShape( { 3 } );</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(outputShapes.size() == 1);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(outputShapes[0] == expectedOutputShape);</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> </div><div class="line"><a name="l00087"></a><span class="lineno"><a class="line" href="_infer_output_tests_8hpp.html#a005b7c03146e5a090de781966172c6e1"> 87</a></span> <span class="keywordtype">void</span> <a class="code" href="_infer_output_tests_8hpp.html#a005b7c03146e5a090de781966172c6e1">ArgMinMaxInferOutputShape1dTest</a>()</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> {</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <a class="code" href="classarmnn_1_1_graph.html">armnn::Graph</a> graph;</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.html">armnn::ArgMinMaxDescriptor</a> descriptor;</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  descriptor.<a class="code" href="structarmnn_1_1_arg_min_max_descriptor.html#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a> = 0;</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="keyword">const</span> std::vector<armnn::TensorShape> inputShapes</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  {</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  { 5 }</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  };</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>  std::vector<armnn::TensorShape> outputShapes;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  BOOST_CHECK_NO_THROW(<a class="code" href="_infer_output_tests_8hpp.html#a673e4af24225bb5d4e5e502befdaf122">ArgMinMaxInferOutputShapeImpl</a>(descriptor, inputShapes, outputShapes));</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>  <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> expectedOutputShape( { 1 } );</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(outputShapes.size() == 1);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(outputShapes[0] == expectedOutputShape);</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> </div><div class="line"><a name="l00106"></a><span class="lineno"><a class="line" href="_infer_output_tests_8hpp.html#aae03eed4bebaa0196f549e0e9b81f164"> 106</a></span> <span class="keywordtype">void</span> <a class="code" href="_infer_output_tests_8hpp.html#aae03eed4bebaa0196f549e0e9b81f164">BatchToSpaceInferOutputShapeTest</a>()</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> {</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="classarmnn_1_1_graph.html">armnn::Graph</a> graph;</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>  <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html">armnn::BatchToSpaceNdDescriptor</a> descriptor;</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  descriptor.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a> = {2, 2};</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  descriptor.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a3941f674c071c9503e00d2b59e92e454">m_Crops</a> = {{0, 0}, {2, 0}};</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  descriptor.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> = <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>;</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> </div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <a class="code" href="classarmnn_1_1_batch_to_space_nd_layer.html">armnn::BatchToSpaceNdLayer</a>* <span class="keyword">const</span> batchToSpaceLayer =</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_batch_to_space_nd_layer.html">armnn::BatchToSpaceNdLayer</a>>(descriptor, <span class="stringliteral">"batchToSpace"</span>);</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>  std::vector<armnn::TensorShape> shapes;</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keyword">const</span> std::vector<unsigned int> theDimSizes = {8, 1, 3, 1};</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> shape(4, theDimSizes.data());</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  shapes.push_back(shape);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keyword">const</span> std::vector<unsigned int> expectedDimSizes = {2, 2, 4, 1};</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> expectedShape(4, expectedDimSizes.data());</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> </div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(expectedShape == batchToSpaceLayer-><a class="code" href="classarmnn_1_1_batch_to_space_nd_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>(shapes).at(0));</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> </div><div class="line"><a name="l00129"></a><span class="lineno"><a class="line" href="_infer_output_tests_8hpp.html#aee284f22b73268f00e5e9f57bc17c525"> 129</a></span> <span class="keywordtype">void</span> <a class="code" href="_infer_output_tests_8hpp.html#aee284f22b73268f00e5e9f57bc17c525">SpaceToDepthInferOutputShapeTest</a>()</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> {</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <a class="code" href="classarmnn_1_1_graph.html">armnn::Graph</a> graph;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> </div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html">armnn::SpaceToDepthDescriptor</a> descriptor;</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  descriptor.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html#a6c6b8957f1e176867e5fb05b1a1a1486">m_BlockSize</a> = 2;</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  descriptor.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> = <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>;</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>  <a class="code" href="classarmnn_1_1_space_to_depth_layer.html">armnn::SpaceToDepthLayer</a>* <span class="keyword">const</span> spaceToDepthLayer =</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_space_to_depth_layer.html">armnn::SpaceToDepthLayer</a>>(descriptor, <span class="stringliteral">"spaceToDepth"</span>);</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> </div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  std::vector<armnn::TensorShape> shapes;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keyword">const</span> std::vector<unsigned int> dimSizes{ 1, 16, 8, 3 };</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> shape(4, dimSizes.data());</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  shapes.push_back(shape);</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> </div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keyword">const</span> std::vector<unsigned int> expectedDimSizes{ 1, 8, 4, 12 };</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> expectedShape(4, expectedDimSizes.data());</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> </div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(expectedShape == spaceToDepthLayer-><a class="code" href="classarmnn_1_1_space_to_depth_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>(shapes).at(0));</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> }</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> </div><div class="line"><a name="l00151"></a><span class="lineno"><a class="line" href="_infer_output_tests_8hpp.html#a57ed098f3dd5d1a34fdb3ced4a5d73d8"> 151</a></span> <span class="keywordtype">void</span> <a class="code" href="_infer_output_tests_8hpp.html#a57ed098f3dd5d1a34fdb3ced4a5d73d8">PreluInferOutputShapeImpl</a>(<span class="keyword">const</span> std::vector<armnn::TensorShape>& inputShapes,</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  std::vector<armnn::TensorShape>& outputShapes)</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> {</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <a class="code" href="classarmnn_1_1_graph.html">armnn::Graph</a> graph;</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <a class="code" href="classarmnn_1_1_prelu_layer.html">armnn::PreluLayer</a>* <span class="keyword">const</span> preluLayer = graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_prelu_layer.html">armnn::PreluLayer</a>>(<span class="stringliteral">"prelu"</span>);</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  outputShapes = preluLayer-><a class="code" href="classarmnn_1_1_prelu_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>(inputShapes);</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> }</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> </div><div class="line"><a name="l00159"></a><span class="lineno"><a class="line" href="_infer_output_tests_8hpp.html#a23f861a85ba1016450691f7566eecfe2"> 159</a></span> <span class="keywordtype">void</span> <a class="code" href="_infer_output_tests_8hpp.html#a23f861a85ba1016450691f7566eecfe2">PreluInferOutputShapeSameDimsTest</a>()</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> {</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keyword">const</span> std::vector<armnn::TensorShape> inputShapes</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  {</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  { 5, 1, 1, 7 }, <span class="comment">// Input shape</span></div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  { 5, 4, 3, 1 } <span class="comment">// Alpha shape</span></div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  };</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> </div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keyword">const</span> std::vector<armnn::TensorShape> expectedOutputShapes</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  {</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  { 5, 4, 3, 7 } <span class="comment">// Output shape</span></div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  };</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> </div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  std::vector<armnn::TensorShape> outputShapes;</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  BOOST_CHECK_NO_THROW(<a class="code" href="_infer_output_tests_8hpp.html#a57ed098f3dd5d1a34fdb3ced4a5d73d8">PreluInferOutputShapeImpl</a>(inputShapes, outputShapes));</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> </div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(outputShapes.size() == 1);</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(outputShapes[0] == expectedOutputShapes[0]);</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> }</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> </div><div class="line"><a name="l00179"></a><span class="lineno"><a class="line" href="_infer_output_tests_8hpp.html#a9f353e3601ce891c0e0c2a3008b902e8"> 179</a></span> <span class="keywordtype">void</span> <a class="code" href="_infer_output_tests_8hpp.html#a9f353e3601ce891c0e0c2a3008b902e8">PreluInferOutputShapeInputBiggerTest</a>()</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> {</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keyword">const</span> std::vector<armnn::TensorShape> inputShapes</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  {</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  { 4, 1, 4, 8 }, <span class="comment">// Input shape</span></div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  { 5, 4, 1 } <span class="comment">// Alpha shape</span></div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  };</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> </div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keyword">const</span> std::vector<armnn::TensorShape> expectedOutputShapes</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  {</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  { 4, 5, 4, 8 } <span class="comment">// Output shape</span></div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  };</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> </div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  std::vector<armnn::TensorShape> outputShapes;</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  BOOST_CHECK_NO_THROW(<a class="code" href="_infer_output_tests_8hpp.html#a57ed098f3dd5d1a34fdb3ced4a5d73d8">PreluInferOutputShapeImpl</a>(inputShapes, outputShapes));</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> </div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(outputShapes.size() == 1);</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(outputShapes[0] == expectedOutputShapes[0]);</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> }</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> </div><div class="line"><a name="l00199"></a><span class="lineno"><a class="line" href="_infer_output_tests_8hpp.html#a58a128d5e6ad6a3d1d393c2cf6b5fa63"> 199</a></span> <span class="keywordtype">void</span> <a class="code" href="_infer_output_tests_8hpp.html#a58a128d5e6ad6a3d1d393c2cf6b5fa63">PreluInferOutputShapeAlphaBiggerTest</a>()</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> {</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keyword">const</span> std::vector<armnn::TensorShape> inputShapes</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  {</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  { 4, 1, 2 }, <span class="comment">// Input shape</span></div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  { 5, 4, 3, 1 } <span class="comment">// Alpha shape</span></div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  };</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> </div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keyword">const</span> std::vector<armnn::TensorShape> expectedOutputShapes</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  {</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  { 5, 4, 3, 2 } <span class="comment">// Output shape</span></div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  };</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span> </div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  std::vector<armnn::TensorShape> outputShapes;</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  BOOST_CHECK_NO_THROW(<a class="code" href="_infer_output_tests_8hpp.html#a57ed098f3dd5d1a34fdb3ced4a5d73d8">PreluInferOutputShapeImpl</a>(inputShapes, outputShapes));</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> </div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(outputShapes.size() == 1);</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(outputShapes[0] == expectedOutputShapes[0]);</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> }</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> </div><div class="line"><a name="l00219"></a><span class="lineno"><a class="line" href="_infer_output_tests_8hpp.html#a29704df6ecb907082856bbb7474f494e"> 219</a></span> <span class="keywordtype">void</span> <a class="code" href="_infer_output_tests_8hpp.html#a29704df6ecb907082856bbb7474f494e">PreluInferOutputShapeNoMatchTest</a>()</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> {</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keyword">const</span> std::vector<armnn::TensorShape> inputShapes</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  {</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  { 4, 1, 2 }, <span class="comment">// Input shape</span></div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  { 5, 4, 3, 1 } <span class="comment">// Alpha shape</span></div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  };</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> </div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keyword">const</span> std::vector<armnn::TensorShape> expectedOutputShapes</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  {</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  { 5, 7, 3, 2 } <span class="comment">// Output shape</span></div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  };</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> </div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  std::vector<armnn::TensorShape> outputShapes;</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  BOOST_CHECK_NO_THROW(<a class="code" href="_infer_output_tests_8hpp.html#a57ed098f3dd5d1a34fdb3ced4a5d73d8">PreluInferOutputShapeImpl</a>(inputShapes, outputShapes));</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> </div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(outputShapes.size() == 1);</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(outputShapes[0] != expectedOutputShapes[0]);</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span> }</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span> </div><div class="line"><a name="l00239"></a><span class="lineno"><a class="line" href="_infer_output_tests_8hpp.html#aef8723faea6131aaa1d535a17630df42"> 239</a></span> <span class="keywordtype">void</span> <a class="code" href="_infer_output_tests_8hpp.html#aef8723faea6131aaa1d535a17630df42">CreatePreluLayerHelper</a>(<a class="code" href="classarmnn_1_1_graph.html">armnn::Graph</a>& graph,</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>& inputShape,</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>& alphaShape,</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>& outputShape)</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span> {</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="comment">// Creates the PReLU layer</span></div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <a class="code" href="classarmnn_1_1_layer.html">armnn::Layer</a>* <span class="keyword">const</span> preluLayer = graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_prelu_layer.html">armnn::PreluLayer</a>>(<span class="stringliteral">"prelu"</span>);</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span> </div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="comment">// Creates extra layers</span></div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <a class="code" href="classarmnn_1_1_layer.html">armnn::Layer</a>* <span class="keyword">const</span> input = graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_input_layer.html">armnn::InputLayer</a>> (0, <span class="stringliteral">"input"</span>);</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <a class="code" href="classarmnn_1_1_layer.html">armnn::Layer</a>* <span class="keyword">const</span> alpha = graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_input_layer.html">armnn::InputLayer</a>> (1, <span class="stringliteral">"alpha"</span>);</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <a class="code" href="classarmnn_1_1_layer.html">armnn::Layer</a>* <span class="keyword">const</span> output = graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_output_layer.html">armnn::OutputLayer</a>>(0, <span class="stringliteral">"output"</span>);</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> </div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="comment">// Connects up</span></div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo (inputShape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> alphaTensorInfo (alphaShape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <a class="code" href="_test_utils_8cpp.html#a0b295acb179f15eb3fb862b32008f782">Connect</a>(input, preluLayer, inputTensorInfo, 0, 0);</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <a class="code" href="_test_utils_8cpp.html#a0b295acb179f15eb3fb862b32008f782">Connect</a>(alpha, preluLayer, alphaTensorInfo, 0, 1);</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <a class="code" href="_test_utils_8cpp.html#a0b295acb179f15eb3fb862b32008f782">Connect</a>(preluLayer, output, outputTensorInfo, 0, 0);</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> }</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span> </div><div class="line"><a name="l00261"></a><span class="lineno"><a class="line" href="_infer_output_tests_8hpp.html#a0e85eb8bf5d03adb0a5d86a37894a9ea"> 261</a></span> <span class="keywordtype">void</span> <a class="code" href="_infer_output_tests_8hpp.html#a0e85eb8bf5d03adb0a5d86a37894a9ea">PreluValidateTensorShapesFromInputsMatchTest</a>()</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span> {</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <a class="code" href="classarmnn_1_1_graph.html">armnn::Graph</a> graph;</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span> </div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="comment">// Creates the PReLU layer</span></div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <a class="code" href="_infer_output_tests_8hpp.html#aef8723faea6131aaa1d535a17630df42">CreatePreluLayerHelper</a>(graph, { 1, 4, 1, 2 }, { 5, 4, 3, 1 }, { 5, 4, 3, 2 });</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span> </div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="comment">// Graph::InferTensorInfos calls Layer::ValidateTensorShapesFromInputs</span></div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  BOOST_CHECK_NO_THROW(graph.<a class="code" href="classarmnn_1_1_graph.html#a2ceda8d369e861997d558fac74d79c33">InferTensorInfos</a>());</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span> }</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span> </div><div class="line"><a name="l00272"></a><span class="lineno"><a class="line" href="_infer_output_tests_8hpp.html#a88b77508b2bd69bcec713ef1ab436b8c"> 272</a></span> <span class="keywordtype">void</span> <a class="code" href="_infer_output_tests_8hpp.html#a88b77508b2bd69bcec713ef1ab436b8c">PreluValidateTensorShapesFromInputsNoMatchTest</a>()</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span> {</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <a class="code" href="classarmnn_1_1_graph.html">armnn::Graph</a> graph;</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span> </div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="comment">// Creates the PReLU layer</span></div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <a class="code" href="_infer_output_tests_8hpp.html#aef8723faea6131aaa1d535a17630df42">CreatePreluLayerHelper</a>(graph, { 1, 4, 1, 2 }, { 5, 4, 3, 1 }, { 5, 7, 3, 2 });</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span> </div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="comment">// Graph::InferTensorInfos calls Layer::ValidateTensorShapesFromInputs</span></div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  BOOST_CHECK_THROW(graph.<a class="code" href="classarmnn_1_1_graph.html#a2ceda8d369e861997d558fac74d79c33">InferTensorInfos</a>(), <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>);</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span> }</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span> </div><div class="line"><a name="l00283"></a><span class="lineno"><a class="line" href="_infer_output_tests_8hpp.html#a2985b2f0f61fcad5f75e5119e7b9916e"> 283</a></span> <span class="keywordtype">void</span> <a class="code" href="_infer_output_tests_8hpp.html#a2985b2f0f61fcad5f75e5119e7b9916e">StackInferOutputShapeImpl</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stack_descriptor.html">armnn::StackDescriptor</a> descriptor,</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <span class="keyword">const</span> std::vector<armnn::TensorShape>& inputShapes,</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  std::vector<armnn::TensorShape>& outputShapes)</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span> {</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <a class="code" href="classarmnn_1_1_graph.html">armnn::Graph</a> graph;</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <a class="code" href="classarmnn_1_1_stack_layer.html">armnn::StackLayer</a>* <span class="keyword">const</span> stackLayer = graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_stack_layer.html">armnn::StackLayer</a>>(descriptor, <span class="stringliteral">"stack"</span>);</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  outputShapes = stackLayer-><a class="code" href="classarmnn_1_1_stack_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>(inputShapes);</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span> }</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span> </div><div class="line"><a name="l00292"></a><span class="lineno"><a class="line" href="_infer_output_tests_8hpp.html#abd1bb9e1b7783eccf8dca20d455064a3"> 292</a></span> <span class="keywordtype">void</span> <a class="code" href="_infer_output_tests_8hpp.html#abd1bb9e1b7783eccf8dca20d455064a3">StackInferOutputShapeFromInputsMatchTest</a>()</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span> {</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <a class="code" href="classarmnn_1_1_graph.html">armnn::Graph</a> graph;</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span> </div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <a class="code" href="structarmnn_1_1_stack_descriptor.html">armnn::StackDescriptor</a> descriptor;</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  descriptor.<a class="code" href="structarmnn_1_1_stack_descriptor.html#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a> = 1;</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  descriptor.<a class="code" href="structarmnn_1_1_stack_descriptor.html#aed6086070440ceb94129bef06f70173f">m_NumInputs</a> = 3;</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  descriptor.<a class="code" href="structarmnn_1_1_stack_descriptor.html#a2bea87b470268bb0b73457c3733dbc04">m_InputShape</a> = <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  (</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  { 4, 2 } <span class="comment">// Defined input shape</span></div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  );</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span> </div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keyword">const</span> std::vector<armnn::TensorShape> inputShapes</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  {</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  { 4, 2 }, <span class="comment">// Actual input shapes</span></div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  { 4, 2 },</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  { 4, 2 }</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  };</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span> </div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  std::vector<armnn::TensorShape> outputShapes;</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  BOOST_CHECK_NO_THROW(<a class="code" href="_infer_output_tests_8hpp.html#a2985b2f0f61fcad5f75e5119e7b9916e">StackInferOutputShapeImpl</a>(descriptor, inputShapes, outputShapes));</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span> </div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> expectedOutputShape</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  (</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  { 4, 3, 2 }</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  );</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(outputShapes.size() == 1);</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(outputShapes[0] == expectedOutputShape);</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span> }</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span> </div><div class="line"><a name="l00322"></a><span class="lineno"><a class="line" href="_infer_output_tests_8hpp.html#a9195d0488c41fb4a5967f8a2c5bdb6e9"> 322</a></span> <span class="keywordtype">void</span> <a class="code" href="_infer_output_tests_8hpp.html#a9195d0488c41fb4a5967f8a2c5bdb6e9">StackInferOutputShapeFromInputsNoMatchTest</a>()</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span> {</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <a class="code" href="classarmnn_1_1_graph.html">armnn::Graph</a> graph;</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span> </div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <a class="code" href="structarmnn_1_1_stack_descriptor.html">armnn::StackDescriptor</a> descriptor;</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  descriptor.<a class="code" href="structarmnn_1_1_stack_descriptor.html#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a> = 1;</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  descriptor.<a class="code" href="structarmnn_1_1_stack_descriptor.html#aed6086070440ceb94129bef06f70173f">m_NumInputs</a> = 3;</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  descriptor.<a class="code" href="structarmnn_1_1_stack_descriptor.html#a2bea87b470268bb0b73457c3733dbc04">m_InputShape</a> = <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  (</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  { 4, 2 } <span class="comment">// Defined input shape</span></div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  );</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span> </div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="keyword">const</span> std::vector<armnn::TensorShape> inputShapes</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  {</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  { 4, 2 }, <span class="comment">// Actual input shapes</span></div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  { 4, 5 }, <span class="comment">// Incorrectly shaped input tensor</span></div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  { 4, 2 }</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  };</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span> </div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <span class="comment">// Output shape is inferred from the descriptor, so should still be correct despite mismatching input shapes</span></div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  std::vector<armnn::TensorShape> outputShapes;</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  BOOST_CHECK_NO_THROW(<a class="code" href="_infer_output_tests_8hpp.html#a2985b2f0f61fcad5f75e5119e7b9916e">StackInferOutputShapeImpl</a>(descriptor, inputShapes, outputShapes));</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span> </div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> expectedOutputShape</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  (</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  { 4, 3, 2 }</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  );</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(outputShapes.size() == 1);</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(outputShapes[0] == expectedOutputShape);</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span> }</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span> </div><div class="line"><a name="l00353"></a><span class="lineno"><a class="line" href="_infer_output_tests_8hpp.html#adad94ff1ff901704556db7b602d46a05"> 353</a></span> <span class="keywordtype">void</span> <a class="code" href="_infer_output_tests_8hpp.html#adad94ff1ff901704556db7b602d46a05">CreateStackLayerHelper</a>(<a class="code" href="classarmnn_1_1_graph.html">armnn::Graph</a>& graph,</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stack_descriptor.html">armnn::StackDescriptor</a>& descriptor,</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="keyword">const</span> std::vector<armnn::TensorShape>& inputShapes,</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>& outputShape)</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span> {</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="comment">// Creates the Stack layer</span></div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <a class="code" href="classarmnn_1_1_layer.html">armnn::Layer</a>* <span class="keyword">const</span> stackLayer = graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_stack_layer.html">armnn::StackLayer</a>>(descriptor, <span class="stringliteral">"stack"</span>);</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span> </div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="comment">// Creates extra layers</span></div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  std::vector<armnn::Layer*> inputs;</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0; i<inputShapes.size(); ++i)</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  {</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  inputs.push_back(graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_input_layer.html">armnn::InputLayer</a>>(static_cast<int>(i), <span class="stringliteral">"input"</span>));</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  }</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <a class="code" href="classarmnn_1_1_layer.html">armnn::Layer</a>* <span class="keyword">const</span> output = graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_output_layer.html">armnn::OutputLayer</a>>(0, <span class="stringliteral">"output"</span>);</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span> </div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <span class="comment">// Connects up</span></div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  std::vector<armnn::TensorInfo> inputTensorInfos;</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0; i<inputs.size(); ++i)</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  {</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  inputTensorInfos.push_back(<a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(inputShapes[i], <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  }</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span> </div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0; i<inputs.size(); ++i)</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  {</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <a class="code" href="_test_utils_8cpp.html#a0b295acb179f15eb3fb862b32008f782">Connect</a>(inputs[i], stackLayer, inputTensorInfos[i], 0, i);</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  }</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <a class="code" href="_test_utils_8cpp.html#a0b295acb179f15eb3fb862b32008f782">Connect</a>(stackLayer, output, outputTensorInfo, 0, 0);</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span> }</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span> </div><div class="line"><a name="l00384"></a><span class="lineno"><a class="line" href="_infer_output_tests_8hpp.html#a9a2a494f5a3ff1885fa9d62c6c500e52"> 384</a></span> <span class="keywordtype">void</span> <a class="code" href="_infer_output_tests_8hpp.html#a9a2a494f5a3ff1885fa9d62c6c500e52">StackValidateTensorShapesFromInputsMatchTest</a>()</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span> {</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <a class="code" href="classarmnn_1_1_graph.html">armnn::Graph</a> graph;</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span> </div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <a class="code" href="structarmnn_1_1_stack_descriptor.html">armnn::StackDescriptor</a> descriptor;</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  descriptor.<a class="code" href="structarmnn_1_1_stack_descriptor.html#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a> = 0;</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  descriptor.<a class="code" href="structarmnn_1_1_stack_descriptor.html#aed6086070440ceb94129bef06f70173f">m_NumInputs</a> = 3;</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  descriptor.<a class="code" href="structarmnn_1_1_stack_descriptor.html#a2bea87b470268bb0b73457c3733dbc04">m_InputShape</a> = <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  (</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  { 2, 5 } <span class="comment">// Defined input shape</span></div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  );</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span> </div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <span class="keyword">const</span> std::vector<armnn::TensorShape> inputShapes</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  {</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  { 2, 5 }, <span class="comment">// Actual input shapes</span></div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  { 2, 5 },</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  { 2, 5 }</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  };</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span> </div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="comment">// Creates the Stack layer</span></div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <a class="code" href="_infer_output_tests_8hpp.html#adad94ff1ff901704556db7b602d46a05">CreateStackLayerHelper</a>(graph, descriptor, inputShapes, { 3, 2, 5 });</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span> </div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="comment">// Graph::InferTensorInfos calls Layer::ValidateTensorShapesFromInputs</span></div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  BOOST_CHECK_NO_THROW(graph.<a class="code" href="classarmnn_1_1_graph.html#a2ceda8d369e861997d558fac74d79c33">InferTensorInfos</a>());</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span> }</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span> </div><div class="line"><a name="l00410"></a><span class="lineno"><a class="line" href="_infer_output_tests_8hpp.html#af061819a84da0c72056b016d02d239f3"> 410</a></span> <span class="keywordtype">void</span> <a class="code" href="_infer_output_tests_8hpp.html#af061819a84da0c72056b016d02d239f3">StackValidateTensorShapesFromInputsNoMatchTest</a>()</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span> {</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <a class="code" href="classarmnn_1_1_graph.html">armnn::Graph</a> graph;</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span> </div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  <a class="code" href="structarmnn_1_1_stack_descriptor.html">armnn::StackDescriptor</a> descriptor;</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  descriptor.<a class="code" href="structarmnn_1_1_stack_descriptor.html#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a> = 0;</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  descriptor.<a class="code" href="structarmnn_1_1_stack_descriptor.html#aed6086070440ceb94129bef06f70173f">m_NumInputs</a> = 3;</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  descriptor.<a class="code" href="structarmnn_1_1_stack_descriptor.html#a2bea87b470268bb0b73457c3733dbc04">m_InputShape</a> = <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  (</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  { 2, 5 } <span class="comment">// Defined input shape</span></div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  );</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span> </div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <span class="keyword">const</span> std::vector<armnn::TensorShape> inputShapes</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  {</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  { 2, 5 }, <span class="comment">// Actual input shapes</span></div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  { 2, 2 }, <span class="comment">// Incorrectly shaped input tensor</span></div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  { 2, 5 }</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  };</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span> </div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="comment">// Creates the Stack layer</span></div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  <a class="code" href="_infer_output_tests_8hpp.html#adad94ff1ff901704556db7b602d46a05">CreateStackLayerHelper</a>(graph, descriptor, inputShapes, { 3, 2, 5 });</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span> </div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <span class="comment">// Graph::InferTensorInfos calls Layer::ValidateTensorShapesFromInputs</span></div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  BOOST_CHECK_THROW(graph.<a class="code" href="classarmnn_1_1_graph.html#a2ceda8d369e861997d558fac74d79c33">InferTensorInfos</a>(), <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>);</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span> }</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span> </div><div class="line"><a name="l00436"></a><span class="lineno"><a class="line" href="_infer_output_tests_8hpp.html#a3f1ec6ab0066448f4438bbe852b4f3e2"> 436</a></span> <span class="keywordtype">void</span> <a class="code" href="_infer_output_tests_8hpp.html#a3f1ec6ab0066448f4438bbe852b4f3e2">Convolution2dInferOutputShapeTest</a>()</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span> {</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <a class="code" href="classarmnn_1_1_graph.html">armnn::Graph</a> graph;</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span> </div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <a class="code" href="structarmnn_1_1_convolution2d_descriptor.html">armnn::Convolution2dDescriptor</a> descriptor;</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a> = 2;</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a> = 2;</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> = 1;</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a> = 1;</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a> = 1;</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a> = 1;</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> = 3;</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> = 3;</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> = <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a>;</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span> </div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <a class="code" href="classarmnn_1_1_convolution2d_layer.html">armnn::Convolution2dLayer</a>* <span class="keyword">const</span> convolution2dLayer =</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_convolution2d_layer.html">armnn::Convolution2dLayer</a>>(descriptor, <span class="stringliteral">"convolution2d"</span>);</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span> </div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  std::vector<armnn::TensorShape> shapes;</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <span class="keyword">const</span> std::vector<unsigned int> inputSize = {1, 2, 10, 10};</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> inputShape(4, inputSize.data());</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  shapes.push_back(inputShape);</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span> </div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <span class="keyword">const</span> std::vector<unsigned int> filterSize = { 1, 2, 2, 2};</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> filterShape(4, filterSize.data());</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  shapes.push_back(filterShape);</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span> </div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  <span class="keyword">const</span> std::vector<unsigned int> expectedOutputSizes = {1, 1, 4, 4};</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> expectedOutputShape(4, expectedOutputSizes.data());</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span> </div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(expectedOutputShape == convolution2dLayer-><a class="code" href="classarmnn_1_1_convolution2d_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>(shapes).at(0));</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span> }</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span> </div><div class="line"><a name="l00469"></a><span class="lineno"><a class="line" href="_infer_output_tests_8hpp.html#af74f1701b2b4a9313a682ab673edf2f5"> 469</a></span> <span class="keywordtype">void</span> <a class="code" href="_infer_output_tests_8hpp.html#af74f1701b2b4a9313a682ab673edf2f5">TransposeConvolution2dInferOutputShapeTest</a>()</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span> {</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <a class="code" href="classarmnn_1_1_graph.html">armnn::Graph</a> graph;</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span> </div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html">armnn::TransposeConvolution2dDescriptor</a> descriptor;</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  descriptor.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> = 0;</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  descriptor.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a> = 1;</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  descriptor.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a> = 0;</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  descriptor.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a> = 1;</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  descriptor.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> = 2;</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  descriptor.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> = 2;</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  descriptor.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> = <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a>;</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span> </div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html">armnn::TransposeConvolution2dLayer</a>* <span class="keyword">const</span> transposeConvolution2dLayer =</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html">armnn::TransposeConvolution2dLayer</a>>(descriptor, <span class="stringliteral">"TransposeConvolution2d"</span>);</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span> </div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  std::vector<armnn::TensorShape> shapes;</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <span class="keyword">const</span> std::vector<unsigned int> inputSize = {1, 2, 3, 3};</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> inputShape(4, inputSize.data());</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  shapes.push_back(inputShape);</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span> </div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <span class="keyword">const</span> std::vector<unsigned int> filterSize = { 1, 2, 3, 3};</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> filterShape(4, filterSize.data());</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  shapes.push_back(filterShape);</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span> </div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <span class="keyword">const</span> std::vector<unsigned int> expectedOutputSizes = {1, 1, 6, 6};</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> expectedOutputShape(4, expectedOutputSizes.data());</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span> </div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(expectedOutputShape == transposeConvolution2dLayer-><a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>(shapes).at(0));</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span> }</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span> </div><div class="line"><a name="l00500"></a><span class="lineno"><a class="line" href="_infer_output_tests_8hpp.html#a0443e325bae088a453cef63002516742"> 500</a></span> <span class="keywordtype">void</span> <a class="code" href="_infer_output_tests_8hpp.html#a0443e325bae088a453cef63002516742">DepthwiseConvolution2dInferOutputShapeTest</a>()</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span> {</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <a class="code" href="classarmnn_1_1_graph.html">armnn::Graph</a> graph;</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span> </div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">armnn::DepthwiseConvolution2dDescriptor</a> descriptor;</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a> = 3;</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a> = 3;</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> = 1;</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a> = 2;</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a> = 1;</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a> = 2;</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> = 2;</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> = 2;</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> = <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a>;</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span> </div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <a class="code" href="classarmnn_1_1_depthwise_convolution2d_layer.html">armnn::DepthwiseConvolution2dLayer</a>* <span class="keyword">const</span> depthwiseConvolution2dLayer =</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_depthwise_convolution2d_layer.html">armnn::DepthwiseConvolution2dLayer</a>>(descriptor, <span class="stringliteral">"DepthwiseConvolution2d"</span>);</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span> </div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  std::vector<armnn::TensorShape> shapes;</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <span class="keyword">const</span> std::vector<unsigned int> inputSize = {1, 2, 10, 10};</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> inputShape(4, inputSize.data());</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  shapes.push_back(inputShape);</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span> </div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  <span class="keyword">const</span> std::vector<unsigned int> filterSize = { 1, 2, 3, 3};</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> filterShape(4, filterSize.data());</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  shapes.push_back(filterShape);</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span> </div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  <span class="keyword">const</span> std::vector<unsigned int> expectedOutputSizes = {1, 2, 4, 4};</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> expectedOutputShape(4, expectedOutputSizes.data());</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span> </div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(expectedOutputShape == depthwiseConvolution2dLayer-><a class="code" href="classarmnn_1_1_depthwise_convolution2d_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>(shapes).at(0));</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span> }</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span> </div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span> <span class="comment">// QuantizedLstm</span></div><div class="line"><a name="l00534"></a><span class="lineno"><a class="line" href="_infer_output_tests_8hpp.html#a4a13b517c2553b8173c26d286cba4a13"> 534</a></span> <span class="keywordtype">void</span> <a class="code" href="_infer_output_tests_8hpp.html#a4a13b517c2553b8173c26d286cba4a13">QuantizedLstmInferOutputShapeImpl</a>(<span class="keyword">const</span> std::vector<armnn::TensorShape>& inputShapes,</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  std::vector<armnn::TensorShape>& outputShapes)</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span> {</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <a class="code" href="classarmnn_1_1_graph.html">armnn::Graph</a> graph;</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html">armnn::QuantizedLstmLayer</a>* <span class="keyword">const</span> quantizedLstmLayer = graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html">armnn::QuantizedLstmLayer</a>>(<span class="stringliteral">"quantizedLstm"</span>);</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  outputShapes = quantizedLstmLayer-><a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>(inputShapes);</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span> }</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span> </div><div class="line"><a name="l00542"></a><span class="lineno"><a class="line" href="_infer_output_tests_8hpp.html#a4e21fe15b65644bb6a7beb25fbd04f14"> 542</a></span> <span class="keywordtype">void</span> <a class="code" href="_infer_output_tests_8hpp.html#a4e21fe15b65644bb6a7beb25fbd04f14">QuantizedLstmInferOutputShapeTest</a>()</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span> {</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <span class="comment">// Input shapes</span></div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  <span class="keyword">const</span> std::vector<unsigned int> inputShape{ 2, 5 };</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <span class="keyword">const</span> std::vector<unsigned int> previousCellStateInShape{ 2, 10 };</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  <span class="keyword">const</span> std::vector<unsigned int> previousOutputInShape{ 2, 10 };</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> inputTensorShape(2, inputShape.data());</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> previousCellStateInTensorShape(2, previousCellStateInShape.data());</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> previousOutputInTensorShape(2, previousOutputInShape.data());</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span> </div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  std::vector<armnn::TensorShape> inShapes</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  {</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  inputTensorShape,</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  previousCellStateInTensorShape,</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  previousOutputInTensorShape</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  };</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span> </div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  <span class="comment">// Output shapes</span></div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  <span class="keyword">const</span> std::vector<unsigned int> cellStateOutShape{ 2, 10 };</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  <span class="keyword">const</span> std::vector<unsigned int> outputShape{ 2, 10 };</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> cellStateOutTensorShape(2, cellStateOutShape.data());</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> outputTensorShape(2, outputShape.data());</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span> </div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  std::vector<armnn::TensorShape> expectedOutShapes</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  {</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  cellStateOutTensorShape,</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  outputTensorShape</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  };</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span> </div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  std::vector<armnn::TensorShape> actualOutShapes;</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  BOOST_CHECK_NO_THROW(<a class="code" href="_infer_output_tests_8hpp.html#a4a13b517c2553b8173c26d286cba4a13">QuantizedLstmInferOutputShapeImpl</a>(inShapes, actualOutShapes));</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span> </div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(actualOutShapes.size() == 2);</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(expectedOutShapes[0] == actualOutShapes[0]);</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(expectedOutShapes[1] == actualOutShapes[1]);</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span> }</div><div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_html_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">armnn::DepthwiseConvolution2dDescriptor::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#l00482">Descriptors.hpp:482</a></div></div> |
| <div class="ttc" id="_infer_output_tests_8hpp_html_abd1bb9e1b7783eccf8dca20d455064a3"><div class="ttname"><a href="_infer_output_tests_8hpp.html#abd1bb9e1b7783eccf8dca20d455064a3">StackInferOutputShapeFromInputsMatchTest</a></div><div class="ttdeci">void StackInferOutputShapeFromInputsMatchTest()</div><div class="ttdef"><b>Definition:</b> <a href="_infer_output_tests_8hpp_source.html#l00292">InferOutputTests.hpp:292</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_space_to_depth_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::SpaceToDepthDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00830">Descriptors.hpp:830</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_html_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aa9e49717ebdb741e8c767741647fc618">armnn::DepthwiseConvolution2dDescriptor::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#l00480">Descriptors.hpp:480</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::Convolution2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00440">Descriptors.hpp:440</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_batch_to_space_nd_layer_html"><div class="ttname"><a href="classarmnn_1_1_batch_to_space_nd_layer.html">armnn::BatchToSpaceNdLayer</a></div><div class="ttdoc">This layer represents a BatchToSpaceNd operation. </div><div class="ttdef"><b>Definition:</b> <a href="_batch_to_space_nd_layer_8hpp_source.html#l00013">BatchToSpaceNdLayer.hpp:13</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_transpose_convolution2d_layer_html"><div class="ttname"><a href="classarmnn_1_1_transpose_convolution2d_layer.html">armnn::TransposeConvolution2dLayer</a></div><div class="ttdoc">This layer represents a 2D transpose convolution operation. </div><div class="ttdef"><b>Definition:</b> <a href="_transpose_convolution2d_layer_8hpp_source.html#l00015">TransposeConvolution2dLayer.hpp:15</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_input_layer_html"><div class="ttname"><a href="classarmnn_1_1_input_layer.html">armnn::InputLayer</a></div><div class="ttdoc">A layer user-provided data can be bound to (e.g. inputs, outputs). </div><div class="ttdef"><b>Definition:</b> <a href="_input_layer_8hpp_source.html#l00013">InputLayer.hpp:13</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_html_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#aa9e49717ebdb741e8c767741647fc618">armnn::TransposeConvolution2dDescriptor::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#l01111">Descriptors.hpp:1111</a></div></div> |
| <div class="ttc" id="classarmnn_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="_infer_output_tests_8hpp_html_a9f353e3601ce891c0e0c2a3008b902e8"><div class="ttname"><a href="_infer_output_tests_8hpp.html#a9f353e3601ce891c0e0c2a3008b902e8">PreluInferOutputShapeInputBiggerTest</a></div><div class="ttdeci">void PreluInferOutputShapeInputBiggerTest()</div><div class="ttdef"><b>Definition:</b> <a href="_infer_output_tests_8hpp_source.html#l00179">InferOutputTests.hpp:179</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_stack_descriptor_html_ab218de7805899c8412d75d1fd1d846d2"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.html#ab218de7805899c8412d75d1fd1d846d2">armnn::StackDescriptor::m_Axis</a></div><div class="ttdeci">uint32_t m_Axis</div><div class="ttdoc">0-based axis along which to stack the input tensors. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00972">Descriptors.hpp:972</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_html_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#a002bc30e590d78cbb4f4d12171055ca7">armnn::Convolution2dDescriptor::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#l00424">Descriptors.hpp:424</a></div></div> |
| <div class="ttc" id="_infer_output_tests_8hpp_html_a4e21fe15b65644bb6a7beb25fbd04f14"><div class="ttname"><a href="_infer_output_tests_8hpp.html#a4e21fe15b65644bb6a7beb25fbd04f14">QuantizedLstmInferOutputShapeTest</a></div><div class="ttdeci">void QuantizedLstmInferOutputShapeTest()</div><div class="ttdef"><b>Definition:</b> <a href="_infer_output_tests_8hpp_source.html#l00542">InferOutputTests.hpp:542</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_batch_to_space_nd_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.html">armnn::BatchToSpaceNdDescriptor</a></div><div class="ttdoc">A BatchToSpaceNdDescriptor for the BatchToSpaceNdLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00657">Descriptors.hpp:657</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_html_aa3c6a77a963a98ccb8ea7b8fd008a8c1"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aa3c6a77a963a98ccb8ea7b8fd008a8c1">armnn::DepthwiseConvolution2dDescriptor::m_DilationX</a></div><div class="ttdeci">uint32_t m_DilationX</div><div class="ttdoc">Dilation factor value for width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00486">Descriptors.hpp:486</a></div></div> |
| <div class="ttc" id="_infer_output_tests_8hpp_html_a2985b2f0f61fcad5f75e5119e7b9916e"><div class="ttname"><a href="_infer_output_tests_8hpp.html#a2985b2f0f61fcad5f75e5119e7b9916e">StackInferOutputShapeImpl</a></div><div class="ttdeci">void StackInferOutputShapeImpl(const armnn::StackDescriptor descriptor, const std::vector< armnn::TensorShape > &inputShapes, std::vector< armnn::TensorShape > &outputShapes)</div><div class="ttdef"><b>Definition:</b> <a href="_infer_output_tests_8hpp_source.html#l00283">InferOutputTests.hpp:283</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_html_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#a56b51f56cef50cdfa554258eecdab046">armnn::TransposeConvolution2dDescriptor::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#l01109">Descriptors.hpp:1109</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_arg_min_max_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_arg_min_max_layer.html#a65ca562c882ad619684445a1402f415a">armnn::ArgMinMaxLayer::InferOutputShapes</a></div><div class="ttdeci">std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override</div><div class="ttdef"><b>Definition:</b> <a href="_arg_min_max_layer_8cpp_source.html#l00035">ArgMinMaxLayer.cpp:35</a></div></div> |
| <div class="ttc" id="_infer_output_tests_8hpp_html_a5eba187ee3dcec0db603b27b0954cec9"><div class="ttname"><a href="_infer_output_tests_8hpp.html#a5eba187ee3dcec0db603b27b0954cec9">ArgMinMaxInferOutputShape3dTest</a></div><div class="ttdeci">void ArgMinMaxInferOutputShape3dTest()</div><div class="ttdef"><b>Definition:</b> <a href="_infer_output_tests_8hpp_source.html#l00049">InferOutputTests.hpp:49</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div> |
| <div class="ttc" id="_infer_output_tests_8hpp_html_a9195d0488c41fb4a5967f8a2c5bdb6e9"><div class="ttname"><a href="_infer_output_tests_8hpp.html#a9195d0488c41fb4a5967f8a2c5bdb6e9">StackInferOutputShapeFromInputsNoMatchTest</a></div><div class="ttdeci">void StackInferOutputShapeFromInputsNoMatchTest()</div><div class="ttdef"><b>Definition:</b> <a href="_infer_output_tests_8hpp_source.html#l00322">InferOutputTests.hpp:322</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_html_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::DepthwiseConvolution2dDescriptor::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#l00474">Descriptors.hpp:474</a></div></div> |
| <div class="ttc" id="_arg_min_max_layer_8hpp_html"><div class="ttname"><a href="_arg_min_max_layer_8hpp.html">ArgMinMaxLayer.hpp</a></div></div> |
| <div class="ttc" id="_infer_output_tests_8hpp_html_a0e85eb8bf5d03adb0a5d86a37894a9ea"><div class="ttname"><a href="_infer_output_tests_8hpp.html#a0e85eb8bf5d03adb0a5d86a37894a9ea">PreluValidateTensorShapesFromInputsMatchTest</a></div><div class="ttdeci">void PreluValidateTensorShapesFromInputsMatchTest()</div><div class="ttdef"><b>Definition:</b> <a href="_infer_output_tests_8hpp_source.html#l00261">InferOutputTests.hpp:261</a></div></div> |
| <div class="ttc" id="classarmnn_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#l00209">Layer.hpp:209</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_depthwise_convolution2d_layer_html"><div class="ttname"><a href="classarmnn_1_1_depthwise_convolution2d_layer.html">armnn::DepthwiseConvolution2dLayer</a></div><div class="ttdoc">This layer represents a depthwise convolution 2d operation. </div><div class="ttdef"><b>Definition:</b> <a href="_depthwise_convolution2d_layer_8hpp_source.html#l00015">DepthwiseConvolution2dLayer.hpp:15</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_convolution2d_layer_html"><div class="ttname"><a href="classarmnn_1_1_convolution2d_layer.html">armnn::Convolution2dLayer</a></div><div class="ttdoc">This layer represents a convolution 2d operation. </div><div class="ttdef"><b>Definition:</b> <a href="_convolution2d_layer_8hpp_source.html#l00015">Convolution2dLayer.hpp:15</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_stack_layer_html"><div class="ttname"><a href="classarmnn_1_1_stack_layer.html">armnn::StackLayer</a></div><div class="ttdoc">This layer represents a stack operation. </div><div class="ttdef"><b>Definition:</b> <a href="_stack_layer_8hpp_source.html#l00013">StackLayer.hpp:13</a></div></div> |
| <div class="ttc" id="_infer_output_tests_8hpp_html_a88b77508b2bd69bcec713ef1ab436b8c"><div class="ttname"><a href="_infer_output_tests_8hpp.html#a88b77508b2bd69bcec713ef1ab436b8c">PreluValidateTensorShapesFromInputsNoMatchTest</a></div><div class="ttdeci">void PreluValidateTensorShapesFromInputsNoMatchTest()</div><div class="ttdef"><b>Definition:</b> <a href="_infer_output_tests_8hpp_source.html#l00272">InferOutputTests.hpp:272</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_stack_descriptor_html_a2bea87b470268bb0b73457c3733dbc04"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.html#a2bea87b470268bb0b73457c3733dbc04">armnn::StackDescriptor::m_InputShape</a></div><div class="ttdeci">TensorShape m_InputShape</div><div class="ttdoc">Required shape of all input tensors. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00976">Descriptors.hpp:976</a></div></div> |
| <div class="ttc" id="_prelu_layer_8hpp_html"><div class="ttname"><a href="_prelu_layer_8hpp.html">PreluLayer.hpp</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_batch_to_space_nd_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::BatchToSpaceNdDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00684">Descriptors.hpp:684</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_graph_html_a7563c5b899e7d0ada08fd0fdb202f205"><div class="ttname"><a href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">armnn::Graph::AddLayer</a></div><div class="ttdeci">LayerT * AddLayer(Args &&... args)</div><div class="ttdoc">Adds a new layer, of type LayerType, to the graph constructed with the arguments passed. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.html#l00397">Graph.hpp:397</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_space_to_depth_layer_html"><div class="ttname"><a href="classarmnn_1_1_space_to_depth_layer.html">armnn::SpaceToDepthLayer</a></div><div class="ttdoc">This layer represents a SpaceToDepth operation. </div><div class="ttdef"><b>Definition:</b> <a href="_space_to_depth_layer_8hpp_source.html#l00014">SpaceToDepthLayer.hpp:14</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_arg_min_max_layer_html"><div class="ttname"><a href="classarmnn_1_1_arg_min_max_layer.html">armnn::ArgMinMaxLayer</a></div><div class="ttdoc">This layer represents a ArgMinMax operation. </div><div class="ttdef"><b>Definition:</b> <a href="_arg_min_max_layer_8hpp_source.html#l00014">ArgMinMaxLayer.hpp:14</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_html_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#aa9e49717ebdb741e8c767741647fc618">armnn::Convolution2dDescriptor::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#l00428">Descriptors.hpp:428</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::DepthwiseConvolution2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00492">Descriptors.hpp:492</a></div></div> |
| <div class="ttc" id="_infer_output_tests_8hpp_html_af061819a84da0c72056b016d02d239f3"><div class="ttname"><a href="_infer_output_tests_8hpp.html#af061819a84da0c72056b016d02d239f3">StackValidateTensorShapesFromInputsNoMatchTest</a></div><div class="ttdeci">void StackValidateTensorShapesFromInputsNoMatchTest()</div><div class="ttdef"><b>Definition:</b> <a href="_infer_output_tests_8hpp_source.html#l00410">InferOutputTests.hpp:410</a></div></div> |
| <div class="ttc" id="_infer_output_tests_8hpp_html_a4a13b517c2553b8173c26d286cba4a13"><div class="ttname"><a href="_infer_output_tests_8hpp.html#a4a13b517c2553b8173c26d286cba4a13">QuantizedLstmInferOutputShapeImpl</a></div><div class="ttdeci">void QuantizedLstmInferOutputShapeImpl(const std::vector< armnn::TensorShape > &inputShapes, std::vector< armnn::TensorShape > &outputShapes)</div><div class="ttdef"><b>Definition:</b> <a href="_infer_output_tests_8hpp_source.html#l00534">InferOutputTests.hpp:534</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_html_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a56b51f56cef50cdfa554258eecdab046">armnn::DepthwiseConvolution2dDescriptor::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#l00478">Descriptors.hpp:478</a></div></div> |
| <div class="ttc" id="classarmnn_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="_infer_output_tests_8hpp_html_a673e4af24225bb5d4e5e502befdaf122"><div class="ttname"><a href="_infer_output_tests_8hpp.html#a673e4af24225bb5d4e5e502befdaf122">ArgMinMaxInferOutputShapeImpl</a></div><div class="ttdeci">void ArgMinMaxInferOutputShapeImpl(const armnn::ArgMinMaxDescriptor descriptor, const std::vector< armnn::TensorShape > &inputShapes, std::vector< armnn::TensorShape > &outputShapes)</div><div class="ttdef"><b>Definition:</b> <a href="_infer_output_tests_8hpp_source.html#l00021">InferOutputTests.hpp:21</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_html_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">armnn::Convolution2dDescriptor::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#l00432">Descriptors.hpp:432</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> |
| <div class="ttc" id="_space_to_depth_layer_8hpp_html"><div class="ttname"><a href="_space_to_depth_layer_8hpp.html">SpaceToDepthLayer.hpp</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_space_to_depth_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.html">armnn::SpaceToDepthDescriptor</a></div><div class="ttdoc">A SpaceToDepthDescriptor for the SpaceToDepthLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00810">Descriptors.hpp:810</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::TransposeConvolution2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01119">Descriptors.hpp:1119</a></div></div> |
| <div class="ttc" id="_infer_output_tests_8hpp_html_adad94ff1ff901704556db7b602d46a05"><div class="ttname"><a href="_infer_output_tests_8hpp.html#adad94ff1ff901704556db7b602d46a05">CreateStackLayerHelper</a></div><div class="ttdeci">void CreateStackLayerHelper(armnn::Graph &graph, const armnn::StackDescriptor &descriptor, const std::vector< armnn::TensorShape > &inputShapes, const armnn::TensorShape &outputShape)</div><div class="ttdef"><b>Definition:</b> <a href="_infer_output_tests_8hpp_source.html#l00353">InferOutputTests.hpp:353</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html">armnn::TransposeConvolution2dDescriptor</a></div><div class="ttdoc">A TransposeConvolution2dDescriptor for the TransposeConvolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01079">Descriptors.hpp:1079</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_html_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#a56b51f56cef50cdfa554258eecdab046">armnn::Convolution2dDescriptor::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#l00426">Descriptors.hpp:426</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_html_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::Convolution2dDescriptor::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#l00422">Descriptors.hpp:422</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_arg_min_max_descriptor_html_a214c3636fdf0ea5bac8edb42d0e6c7f0"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.html#a214c3636fdf0ea5bac8edb42d0e6c7f0">armnn::ArgMinMaxDescriptor::m_Axis</a></div><div class="ttdeci">int m_Axis</div><div class="ttdoc">Axis to reduce across the input tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00058">Descriptors.hpp:58</a></div></div> |
| <div class="ttc" id="_infer_output_tests_8hpp_html_aae03eed4bebaa0196f549e0e9b81f164"><div class="ttname"><a href="_infer_output_tests_8hpp.html#aae03eed4bebaa0196f549e0e9b81f164">BatchToSpaceInferOutputShapeTest</a></div><div class="ttdeci">void BatchToSpaceInferOutputShapeTest()</div><div class="ttdef"><b>Definition:</b> <a href="_infer_output_tests_8hpp_source.html#l00106">InferOutputTests.hpp:106</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_quantized_lstm_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.html#a65ca562c882ad619684445a1402f415a">armnn::QuantizedLstmLayer::InferOutputShapes</a></div><div class="ttdeci">std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8cpp_source.html#l00079">QuantizedLstmLayer.cpp:79</a></div></div> |
| <div class="ttc" id="_infer_output_tests_8hpp_html_aef8723faea6131aaa1d535a17630df42"><div class="ttname"><a href="_infer_output_tests_8hpp.html#aef8723faea6131aaa1d535a17630df42">CreatePreluLayerHelper</a></div><div class="ttdeci">void CreatePreluLayerHelper(armnn::Graph &graph, const armnn::TensorShape &inputShape, const armnn::TensorShape &alphaShape, const armnn::TensorShape &outputShape)</div><div class="ttdef"><b>Definition:</b> <a href="_infer_output_tests_8hpp_source.html#l00239">InferOutputTests.hpp:239</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_stack_descriptor_html_aed6086070440ceb94129bef06f70173f"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.html#aed6086070440ceb94129bef06f70173f">armnn::StackDescriptor::m_NumInputs</a></div><div class="ttdeci">uint32_t m_NumInputs</div><div class="ttdoc">Number of input tensors. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00974">Descriptors.hpp:974</a></div></div> |
| <div class="ttc" id="_infer_output_tests_8hpp_html_a61f78d19deeaf960ac03ed4a7db98b8d"><div class="ttname"><a href="_infer_output_tests_8hpp.html#a61f78d19deeaf960ac03ed4a7db98b8d">ArgMinMaxInferOutputShape4dTest</a></div><div class="ttdeci">void ArgMinMaxInferOutputShape4dTest()</div><div class="ttdef"><b>Definition:</b> <a href="_infer_output_tests_8hpp_source.html#l00030">InferOutputTests.hpp:30</a></div></div> |
| <div class="ttc" id="_infer_output_tests_8hpp_html_aee284f22b73268f00e5e9f57bc17c525"><div class="ttname"><a href="_infer_output_tests_8hpp.html#aee284f22b73268f00e5e9f57bc17c525">SpaceToDepthInferOutputShapeTest</a></div><div class="ttdeci">void SpaceToDepthInferOutputShapeTest()</div><div class="ttdef"><b>Definition:</b> <a href="_infer_output_tests_8hpp_source.html#l00129">InferOutputTests.hpp:129</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_html_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">armnn::Convolution2dDescriptor::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#l00430">Descriptors.hpp:430</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_transpose_convolution2d_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_transpose_convolution2d_layer.html#a65ca562c882ad619684445a1402f415a">armnn::TransposeConvolution2dLayer::InferOutputShapes</a></div><div class="ttdeci">std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override</div><div class="ttdef"><b>Definition:</b> <a href="_transpose_convolution2d_layer_8cpp_source.html#l00057">TransposeConvolution2dLayer.cpp:57</a></div></div> |
| <div class="ttc" id="_infer_output_tests_8hpp_html_a0443e325bae088a453cef63002516742"><div class="ttname"><a href="_infer_output_tests_8hpp.html#a0443e325bae088a453cef63002516742">DepthwiseConvolution2dInferOutputShapeTest</a></div><div class="ttdeci">void DepthwiseConvolution2dInferOutputShapeTest()</div><div class="ttdef"><b>Definition:</b> <a href="_infer_output_tests_8hpp_source.html#l00500">InferOutputTests.hpp:500</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_html_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">armnn::TransposeConvolution2dDescriptor::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#l01115">Descriptors.hpp:1115</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_graph_html_a2ceda8d369e861997d558fac74d79c33"><div class="ttname"><a href="classarmnn_1_1_graph.html#a2ceda8d369e861997d558fac74d79c33">armnn::Graph::InferTensorInfos</a></div><div class="ttdeci">void InferTensorInfos()</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.html#l00493">Graph.cpp:493</a></div></div> |
| <div class="ttc" id="classarmnn_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="ttdef"><b>Definition:</b> <a href="_prelu_layer_8cpp_source.html#l00035">PreluLayer.cpp:35</a></div></div> |
| <div class="ttc" id="_infer_output_tests_8hpp_html_ae58e3f211ae2a124b13290c8b89aa87b"><div class="ttname"><a href="_infer_output_tests_8hpp.html#ae58e3f211ae2a124b13290c8b89aa87b">ArgMinMaxInferOutputShape2dTest</a></div><div class="ttdeci">void ArgMinMaxInferOutputShape2dTest()</div><div class="ttdef"><b>Definition:</b> <a href="_infer_output_tests_8hpp_source.html#l00068">InferOutputTests.hpp:68</a></div></div> |
| <div class="ttc" id="_file_only_profiling_decorator_tests_8cpp_html_a0c262ba6f6c189a2d092d127c1b7627b"><div class="ttname"><a href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a></div><div class="ttdeci">BOOST_CHECK(profilingService.GetCurrentState()==ProfilingState::WaitingForAck)</div></div> |
| <div class="ttc" id="_stack_layer_8hpp_html"><div class="ttname"><a href="_stack_layer_8hpp.html">StackLayer.hpp</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_output_layer_html"><div class="ttname"><a href="classarmnn_1_1_output_layer.html">armnn::OutputLayer</a></div><div class="ttdoc">A layer user-provided data can be bound to (e.g. inputs, outputs). </div><div class="ttdef"><b>Definition:</b> <a href="_output_layer_8hpp_source.html#l00013">OutputLayer.hpp:13</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_html_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#a002bc30e590d78cbb4f4d12171055ca7">armnn::TransposeConvolution2dDescriptor::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#l01107">Descriptors.hpp:1107</a></div></div> |
| <div class="ttc" id="_infer_output_tests_8hpp_html_a005b7c03146e5a090de781966172c6e1"><div class="ttname"><a href="_infer_output_tests_8hpp.html#a005b7c03146e5a090de781966172c6e1">ArgMinMaxInferOutputShape1dTest</a></div><div class="ttdeci">void ArgMinMaxInferOutputShape1dTest()</div><div class="ttdef"><b>Definition:</b> <a href="_infer_output_tests_8hpp_source.html#l00087">InferOutputTests.hpp:87</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_batch_to_space_nd_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_batch_to_space_nd_layer.html#a65ca562c882ad619684445a1402f415a">armnn::BatchToSpaceNdLayer::InferOutputShapes</a></div><div class="ttdeci">std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override</div><div class="ttdef"><b>Definition:</b> <a href="_batch_to_space_nd_layer_8cpp_source.html#l00057">BatchToSpaceNdLayer.cpp:57</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_stack_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.html">armnn::StackDescriptor</a></div><div class="ttdoc">A StackDescriptor for the StackLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00950">Descriptors.hpp:950</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_depthwise_convolution2d_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_depthwise_convolution2d_layer.html#a65ca562c882ad619684445a1402f415a">armnn::DepthwiseConvolution2dLayer::InferOutputShapes</a></div><div class="ttdeci">std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override</div><div class="ttdef"><b>Definition:</b> <a href="_depthwise_convolution2d_layer_8cpp_source.html#l00082">DepthwiseConvolution2dLayer.cpp:82</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_html_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::TransposeConvolution2dDescriptor::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#l01105">Descriptors.hpp:1105</a></div></div> |
| <div class="ttc" id="_test_utils_8cpp_html_a0b295acb179f15eb3fb862b32008f782"><div class="ttname"><a href="_test_utils_8cpp.html#a0b295acb179f15eb3fb862b32008f782">Connect</a></div><div class="ttdeci">void Connect(armnn::IConnectableLayer *from, armnn::IConnectableLayer *to, const armnn::TensorInfo &tensorInfo, unsigned int fromIndex, unsigned int toIndex)</div><div class="ttdef"><b>Definition:</b> <a href="_test_utils_8cpp_source.html#l00012">TestUtils.cpp:12</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_html_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">armnn::TransposeConvolution2dDescriptor::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#l01113">Descriptors.hpp:1113</a></div></div> |
| <div class="ttc" id="_infer_output_tests_8hpp_html_a58a128d5e6ad6a3d1d393c2cf6b5fa63"><div class="ttname"><a href="_infer_output_tests_8hpp.html#a58a128d5e6ad6a3d1d393c2cf6b5fa63">PreluInferOutputShapeAlphaBiggerTest</a></div><div class="ttdeci">void PreluInferOutputShapeAlphaBiggerTest()</div><div class="ttdef"><b>Definition:</b> <a href="_infer_output_tests_8hpp_source.html#l00199">InferOutputTests.hpp:199</a></div></div> |
| <div class="ttc" id="classarmnn_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="_infer_output_tests_8hpp_html_a3f1ec6ab0066448f4438bbe852b4f3e2"><div class="ttname"><a href="_infer_output_tests_8hpp.html#a3f1ec6ab0066448f4438bbe852b4f3e2">Convolution2dInferOutputShapeTest</a></div><div class="ttdeci">void Convolution2dInferOutputShapeTest()</div><div class="ttdef"><b>Definition:</b> <a href="_infer_output_tests_8hpp_source.html#l00436">InferOutputTests.hpp:436</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_space_to_depth_descriptor_html_a6c6b8957f1e176867e5fb05b1a1a1486"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.html#a6c6b8957f1e176867e5fb05b1a1a1486">armnn::SpaceToDepthDescriptor::m_BlockSize</a></div><div class="ttdeci">unsigned int m_BlockSize</div><div class="ttdoc">Scalar specifying the input block size. It must be >= 1. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00827">Descriptors.hpp:827</a></div></div> |
| <div class="ttc" id="_infer_output_tests_8hpp_html_af74f1701b2b4a9313a682ab673edf2f5"><div class="ttname"><a href="_infer_output_tests_8hpp.html#af74f1701b2b4a9313a682ab673edf2f5">TransposeConvolution2dInferOutputShapeTest</a></div><div class="ttdeci">void TransposeConvolution2dInferOutputShapeTest()</div><div class="ttdef"><b>Definition:</b> <a href="_infer_output_tests_8hpp_source.html#l00469">InferOutputTests.hpp:469</a></div></div> |
| <div class="ttc" id="_infer_output_tests_8hpp_html_a9a2a494f5a3ff1885fa9d62c6c500e52"><div class="ttname"><a href="_infer_output_tests_8hpp.html#a9a2a494f5a3ff1885fa9d62c6c500e52">StackValidateTensorShapesFromInputsMatchTest</a></div><div class="ttdeci">void StackValidateTensorShapesFromInputsMatchTest()</div><div class="ttdef"><b>Definition:</b> <a href="_infer_output_tests_8hpp_source.html#l00384">InferOutputTests.hpp:384</a></div></div> |
| <div class="ttc" id="classarmnn_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#l00029">Graph.hpp:29</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_html_a302b688d88dd73cde0fb1faef6679907"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#a302b688d88dd73cde0fb1faef6679907">armnn::Convolution2dDescriptor::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#l00436">Descriptors.hpp:436</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_stack_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_stack_layer.html#a65ca562c882ad619684445a1402f415a">armnn::StackLayer::InferOutputShapes</a></div><div class="ttdeci">std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override</div><div class="ttdef"><b>Definition:</b> <a href="_stack_layer_8cpp_source.html#l00033">StackLayer.cpp:33</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">armnn::DepthwiseConvolution2dDescriptor</a></div><div class="ttdoc">A DepthwiseConvolution2dDescriptor for the DepthwiseConvolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00444">Descriptors.hpp:444</a></div></div> |
| <div class="ttc" id="_test_utils_8hpp_html"><div class="ttname"><a href="_test_utils_8hpp.html">TestUtils.hpp</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_convolution2d_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_convolution2d_layer.html#a65ca562c882ad619684445a1402f415a">armnn::Convolution2dLayer::InferOutputShapes</a></div><div class="ttdeci">std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override</div><div class="ttdef"><b>Definition:</b> <a href="_convolution2d_layer_8cpp_source.html#l00080">Convolution2dLayer.cpp:80</a></div></div> |
| <div class="ttc" id="_graph_8hpp_html"><div class="ttname"><a href="_graph_8hpp.html">Graph.hpp</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html">armnn::Convolution2dDescriptor</a></div><div class="ttdoc">A Convolution2dDescriptor for the Convolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00392">Descriptors.hpp:392</a></div></div> |
| <div class="ttc" id="_infer_output_tests_8hpp_html_a23f861a85ba1016450691f7566eecfe2"><div class="ttname"><a href="_infer_output_tests_8hpp.html#a23f861a85ba1016450691f7566eecfe2">PreluInferOutputShapeSameDimsTest</a></div><div class="ttdeci">void PreluInferOutputShapeSameDimsTest()</div><div class="ttdef"><b>Definition:</b> <a href="_infer_output_tests_8hpp_source.html#l00159">InferOutputTests.hpp:159</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_html_aa3c6a77a963a98ccb8ea7b8fd008a8c1"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#aa3c6a77a963a98ccb8ea7b8fd008a8c1">armnn::Convolution2dDescriptor::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#l00434">Descriptors.hpp:434</a></div></div> |
| <div class="ttc" id="_infer_output_tests_8hpp_html_a57ed098f3dd5d1a34fdb3ced4a5d73d8"><div class="ttname"><a href="_infer_output_tests_8hpp.html#a57ed098f3dd5d1a34fdb3ced4a5d73d8">PreluInferOutputShapeImpl</a></div><div class="ttdeci">void PreluInferOutputShapeImpl(const std::vector< armnn::TensorShape > &inputShapes, std::vector< armnn::TensorShape > &outputShapes)</div><div class="ttdef"><b>Definition:</b> <a href="_infer_output_tests_8hpp_source.html#l00151">InferOutputTests.hpp:151</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_batch_to_space_nd_descriptor_html_a3941f674c071c9503e00d2b59e92e454"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a3941f674c071c9503e00d2b59e92e454">armnn::BatchToSpaceNdDescriptor::m_Crops</a></div><div class="ttdeci">std::vector< std::pair< unsigned int, unsigned int > > m_Crops</div><div class="ttdoc">The values to crop from the input dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00682">Descriptors.hpp:682</a></div></div> |
| <div class="ttc" id="_batch_to_space_nd_layer_8hpp_html"><div class="ttname"><a href="_batch_to_space_nd_layer_8hpp.html">BatchToSpaceNdLayer.hpp</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_html_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">armnn::DepthwiseConvolution2dDescriptor::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#l00484">Descriptors.hpp:484</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_arg_min_max_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.html">armnn::ArgMinMaxDescriptor</a></div><div class="ttdoc">An ArgMinMaxDescriptor for ArgMinMaxLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00043">Descriptors.hpp:43</a></div></div> |
| <div class="ttc" id="_infer_output_tests_8hpp_html_a29704df6ecb907082856bbb7474f494e"><div class="ttname"><a href="_infer_output_tests_8hpp.html#a29704df6ecb907082856bbb7474f494e">PreluInferOutputShapeNoMatchTest</a></div><div class="ttdeci">void PreluInferOutputShapeNoMatchTest()</div><div class="ttdef"><b>Definition:</b> <a href="_infer_output_tests_8hpp_source.html#l00219">InferOutputTests.hpp:219</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_batch_to_space_nd_descriptor_html_a02e143524aefddd40b485fcf7dea6696"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a02e143524aefddd40b485fcf7dea6696">armnn::BatchToSpaceNdDescriptor::m_BlockShape</a></div><div class="ttdeci">std::vector< unsigned int > m_BlockShape</div><div class="ttdoc">Block shape values. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00680">Descriptors.hpp:680</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_space_to_depth_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_space_to_depth_layer.html#a65ca562c882ad619684445a1402f415a">armnn::SpaceToDepthLayer::InferOutputShapes</a></div><div class="ttdeci">std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_depth_layer_8cpp_source.html#l00044">SpaceToDepthLayer.cpp:44</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_html_a302b688d88dd73cde0fb1faef6679907"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a302b688d88dd73cde0fb1faef6679907">armnn::DepthwiseConvolution2dDescriptor::m_DilationY</a></div><div class="ttdeci">uint32_t m_DilationY</div><div class="ttdoc">Dilation factor value for height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00488">Descriptors.hpp:488</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_quantized_lstm_layer_html"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.html">armnn::QuantizedLstmLayer</a></div><div class="ttdoc">This layer represents a QuantizedLstm operation. </div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.html#l00045">QuantizedLstmLayer.hpp:45</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_html_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a002bc30e590d78cbb4f4d12171055ca7">armnn::DepthwiseConvolution2dDescriptor::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#l00476">Descriptors.hpp:476</a></div></div> |
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