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| <a href="_permute_and_batch_to_space_as_depth_to_space_tests_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2019 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">#include "../TestUtils.hpp"</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="_network_8hpp.html">Network.hpp</a>></span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_optimizer_8hpp.html">Optimizer.hpp</a>></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 <boost/test/unit_test.hpp></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> </div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="keyword">using namespace </span><a class="code" href="namespacearmnn.html">armnn</a>;</div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <a class="code" href="_output_shape_of_squeeze_8cpp.html#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a>(<a class="code" href="classarmnn_1_1_optimizer.html">Optimizer</a>)</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="keyword">using namespace </span><a class="code" href="namespacearmnn_1_1optimizations.html">armnn::optimizations</a>;</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> </div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="keyword">namespace</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> {</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">INetworkPtr</a> CreateTestNetwork()</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> {</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="comment">// Create a network</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">INetworkPtr</a> network = <a class="code" href="classarmnn_1_1_i_network.html#a706f7345af3f18f4b16e226a672214c6">INetwork::Create</a>();</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keyword">auto</span> input = network->AddInputLayer(0, <span class="stringliteral">"input"</span>);</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> inputInfo({ 1, 2, 3, 4 }, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  input->GetOutputSlot(0).SetTensorInfo(inputInfo);</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="comment">// Insert Permute which swaps batches and channels dimensions</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keyword">auto</span> permute = network->AddPermuteLayer(<a class="code" href="structarmnn_1_1_permute_descriptor.html">PermuteDescriptor</a>(<a class="code" href="classarmnn_1_1_permutation_vector.html">PermutationVector</a>{ 3, 1, 2, 0 }), <span class="stringliteral">"permute"</span>);</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> permuteInfo({ 4, 2, 3, 1 }, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  permute->GetOutputSlot(0).SetTensorInfo(permuteInfo);</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  input->GetOutputSlot(0).Connect(permute->GetInputSlot(0));</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="comment">// Insert BatchToSpace</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html">BatchToSpaceNdDescriptor</a> batchToSpaceDesc;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  batchToSpaceDesc.<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="l00040"></a><span class="lineno"> 40</span>  batchToSpaceDesc.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> = <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keyword">auto</span> batchToSpace = network->AddBatchToSpaceNdLayer(batchToSpaceDesc, <span class="stringliteral">"batchToSpace"</span>);</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> batchToSpaceInfo({ 1, 4, 6, 1 }, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  batchToSpace->GetOutputSlot(0).SetTensorInfo(batchToSpaceInfo);</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  permute->GetOutputSlot(0).Connect(batchToSpace->GetInputSlot(0));</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keyword">auto</span> output = network->AddOutputLayer(0, <span class="stringliteral">"output"</span>);</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  batchToSpace->GetOutputSlot(0).Connect(output->GetInputSlot(0));</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">return</span> network;</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> </div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> } <span class="comment">// namespace</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00056"></a><span class="lineno"><a class="line" href="_permute_and_batch_to_space_as_depth_to_space_tests_8cpp.html#ac9ae3545393ad3f2dac5c8f789bbbfbf"> 56</a></span> <a class="code" href="namespacearmnn.html#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(PermuteAndBatchToSpaceAsDepthToSpaceOptimizerTest)</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> {</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">INetworkPtr</a> network = CreateTestNetwork();</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <a class="code" href="classarmnn_1_1_graph.html">Graph</a> graph = <span class="keyword">static_cast<</span><a class="code" href="classarmnn_1_1_network.html">Network</a>*<span class="keyword">></span>(network.get())->GetGraph();</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="comment">// Confirm initial graph is as we expect</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  BOOST_TEST(<a class="code" href="_test_utils_8hpp.html#a0eedb278f57355b47fa983450d4e378c">CheckSequence</a>(graph.<a class="code" href="classarmnn_1_1_graph.html#a98b1109a9006f8cc7d4566146a3bd737">cbegin</a>(), graph.<a class="code" href="classarmnn_1_1_graph.html#a02fd29b6dc3e21fbe4484362d85893bc">cend</a>(), &IsLayerOfType<InputLayer>, &IsLayerOfType<PermuteLayer>,</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  &IsLayerOfType<BatchToSpaceNdLayer>, &IsLayerOfType<OutputLayer>));</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> </div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="comment">// Perform the optimization which should merge the two layers into a DepthToSpace</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">armnn::Optimizer::Pass</a>(graph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#a820df8da5229f50ca7d4d11cb74def2c">PermuteAndBatchToSpaceAsDepthToSpace</a>()));</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="comment">// Check that the replacement has been made as expected</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keyword">auto</span> checkDepthToSpace = [](<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.html">Layer</a>* <span class="keyword">const</span> layer) -> <span class="keywordtype">bool</span> {</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">return</span> IsLayerOfType<DepthToSpaceLayer>(layer) &&</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  static_cast<const DepthToSpaceLayer*>(layer)->GetParameters().m_BlockSize == 2 &&</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="classarmnn_1_1_depth_to_space_layer.html">DepthToSpaceLayer</a>*<span class="keyword">></span>(layer)->GetParameters().m_DataLayout == <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a> &&</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  layer->GetOutputHandler().GetTensorInfo() == <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>({ 1, 4, 6, 1 }, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  };</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>  BOOST_TEST(<a class="code" href="_test_utils_8hpp.html#a0eedb278f57355b47fa983450d4e378c">CheckSequence</a>(graph.<a class="code" href="classarmnn_1_1_graph.html#a98b1109a9006f8cc7d4566146a3bd737">cbegin</a>(), graph.<a class="code" href="classarmnn_1_1_graph.html#a02fd29b6dc3e21fbe4484362d85893bc">cend</a>(), &IsLayerOfType<InputLayer>, checkDepthToSpace,</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  &IsLayerOfType<OutputLayer>));</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>  <span class="comment">// Check the new layer has the two merged layers listed as related layers</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  std::list<std::string> testRelatedLayers = { <span class="stringliteral">"batchToSpace"</span>, <span class="stringliteral">"permute"</span> };</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  BOOST_TEST(CheckRelatedLayers<DepthToSpaceLayer>(graph, testRelatedLayers));</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> }</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> </div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="comment">// This unit test needs the reference backend, it's not available if the reference backend is not built</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="preprocessor">#if defined(ARMNNREF_ENABLED)</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <a class="code" href="namespacearmnn.html#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(PermuteAndBatchToSpaceAsDepthToSpaceCorrectnessTest)</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> {</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">INetworkPtr</a> network = CreateTestNetwork();</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>  <a class="code" href="namespacearmnn.html#a150468a02bd7b2d2d061c4aaaee939f0">IRuntimePtr</a> runtime = <a class="code" href="classarmnn_1_1_i_runtime.html#ad44ecd3700748dc30dc4bbe34ba5bde7">IRuntime::Create</a>(<a class="code" href="structarmnn_1_1_i_runtime_1_1_creation_options.html">IRuntime::CreationOptions</a>());</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <a class="code" href="namespacearmnn.html#a674efcf6cbdb9e831d653ff0e821fb38">IOptimizedNetworkPtr</a> optimizedNetwork = <a class="code" href="namespacearmnn.html#a82e98ef05fd67036d1195ba17174d685">Optimize</a>(*network, { <a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">Compute::CpuRef</a> }, runtime->GetDeviceSpec());</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="comment">// Confirm that the optimization has actually taken place</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_graph.html">Graph</a>& optGraph = <span class="keyword">static_cast<</span><a class="code" href="classarmnn_1_1_optimized_network.html">OptimizedNetwork</a>*<span class="keyword">></span>(optimizedNetwork.get())->GetGraph();</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  BOOST_TEST(<a class="code" href="_test_utils_8hpp.html#a0eedb278f57355b47fa983450d4e378c">CheckSequence</a>(optGraph.cbegin(), optGraph.cend(), &IsLayerOfType<InputLayer>,</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  &IsLayerOfType<DepthToSpaceLayer>, &IsLayerOfType<OutputLayer>));</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>  <span class="comment">// Load the graph into a runtime so we can check it produces the correct output</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <a class="code" href="namespacearmnn.html#a83015160d8c67d5d77735eb0d4033d9a">NetworkId</a> netId;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  runtime->LoadNetwork(netId, std::move(optimizedNetwork));</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>  std::vector<float> inputData{</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="comment">// Each row here is a row of pixels where each pixel has 4 channels</span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="comment">// clang-format off</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  1.0f, 2.0f, 3.0f, 4.0f, 10.0f, 20.0f, 30.0f, 40.0f, 100.0f, 200.0f, 300.0f, 400.0f,</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  -1.0f, -2.0f, -3.0f, -4.0f, -10.0f, -20.0f, -30.0f, -40.0f, -100.0f, -200.0f, -300.0f, -400.0f,</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="comment">// clang-format on</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  };</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a> input(<a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>({ 1, 2, 3, 4 }, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>), inputData);</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <a class="code" href="namespacearmnn.html#aa01bce88f89975a5a031db4cc8861527">InputTensors</a> inputs = { { 0, input } };</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  std::vector<float> outputData(4 * 6);</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <a class="code" href="classarmnn_1_1_tensor.html">Tensor</a> output(<a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>({ 1, 4, 6, 1 }, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>), outputData.data());</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <a class="code" href="namespacearmnn.html#a8f091a512915d1cb29a4ebf13dfc53ea">OutputTensors</a> outputs = { { 0, output } };</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  runtime->EnqueueWorkload(netId, inputs, outputs);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> </div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="comment">// Check the output is as expected.</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="comment">// Note this output has been generated by running the network *without* the optimization.</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  std::vector<float> expectedOutput = {</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="comment">// Rows and columns here match exactly with the tensor, as there is only 1 channel.</span></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="comment">// clang-format off</span></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  1.0f, 2.0f, 10.0f, 20.0f, 100.0f, 200.0f,</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  3.0f, 4.0f, 30.0f, 40.0f, 300.0f, 400.0f,</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> </div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  -1.0f, -2.0f, -10.0f, -20.0f, -100.0f, -200.0f,</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  -3.0f, -4.0f, -30.0f, -40.0f, -300.0f, -400.0f,</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="comment">// clang-format on</span></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>  BOOST_TEST(outputData == expectedOutput);</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> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> <a class="code" href="_profiler_tests_8cpp.html#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a>()</div><div class="ttc" id="classarmnn_1_1_depth_to_space_layer_html"><div class="ttname"><a href="classarmnn_1_1_depth_to_space_layer.html">armnn::DepthToSpaceLayer</a></div><div class="ttdoc">This layer represents a DepthToSpace operation. </div><div class="ttdef"><b>Definition:</b> <a href="_depth_to_space_layer_8hpp_source.html#l00014">DepthToSpaceLayer.hpp:14</a></div></div> |
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| <div class="ttc" id="classarmnn_1_1_permutation_vector_html"><div class="ttname"><a href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a></div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00170">Types.hpp:170</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a82e98ef05fd67036d1195ba17174d685"><div class="ttname"><a href="namespacearmnn.html#a82e98ef05fd67036d1195ba17174d685">armnn::Optimize</a></div><div class="ttdeci">IOptimizedNetworkPtr Optimize(const INetwork &network, const std::vector< BackendId > &backendPreferences, const IDeviceSpec &deviceSpec, const OptimizerOptions &options=OptimizerOptions(), Optional< std::vector< std::string > &> messages=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00807">Network.cpp:807</a></div></div> |
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| <div class="ttc" id="_profiler_tests_8cpp_html_af7f71af5c6c124222dd1c42c5df892f4"><div class="ttname"><a href="_profiler_tests_8cpp.html#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a></div><div class="ttdeci">BOOST_AUTO_TEST_SUITE_END()</div></div> |
| <div class="ttc" id="classarmnn_1_1_optimizer_html"><div class="ttname"><a href="classarmnn_1_1_optimizer.html">armnn::Optimizer</a></div><div class="ttdef"><b>Definition:</b> <a href="_optimizer_8hpp_source.html#l00014">Optimizer.hpp:14</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> |
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| <div class="ttc" id="structarmnn_1_1_permute_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.html">armnn::PermuteDescriptor</a></div><div class="ttdoc">A PermuteDescriptor for the PermuteLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00102">Descriptors.hpp:102</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a83015160d8c67d5d77735eb0d4033d9a"><div class="ttname"><a href="namespacearmnn.html#a83015160d8c67d5d77735eb0d4033d9a">armnn::NetworkId</a></div><div class="ttdeci">int NetworkId</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.html#l00019">IRuntime.hpp:19</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a150468a02bd7b2d2d061c4aaaee939f0"><div class="ttname"><a href="namespacearmnn.html#a150468a02bd7b2d2d061c4aaaee939f0">armnn::IRuntimePtr</a></div><div class="ttdeci">std::unique_ptr< IRuntime, void(*)(IRuntime *runtime)> IRuntimePtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.html#l00024">IRuntime.hpp:24</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> |
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