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101<a href="_depth_to_space_end_to_end_test_impl_8hpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2019 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;</div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;</div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_resolve_type_8hpp.xhtml">ResolveType.hpp</a>&gt;</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;</div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;</div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_quantize_helper_8hpp.xhtml">armnnUtils/QuantizeHelper.hpp</a>&gt;</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="include_2armnn_test_utils_2_data_layout_utils_8hpp.xhtml">armnnTestUtils/DataLayoutUtils.hpp</a>&gt;</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="keyword">namespace</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;{</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> CreateDepthToSpaceNetwork(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>&amp; inputInfo,</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>&amp; outputInfo,</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">armnn::DepthToSpaceDescriptor</a>&amp; descriptor)</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;{</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; <span class="keyword">using namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a>;</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">INetworkPtr</a> network(<a class="code" href="classarmnn_1_1_i_network.xhtml#a464f0ff87b1aabf71febaa71321dd40b">INetwork::Create</a>());</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* input = network-&gt;AddInputLayer(0, <span class="stringliteral">&quot;input&quot;</span>);</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* depthToSpace = network-&gt;AddDepthToSpaceLayer(descriptor, <span class="stringliteral">&quot;depthToSpace&quot;</span>);</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* output = network-&gt;AddOutputLayer(0, <span class="stringliteral">&quot;output&quot;</span>);</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; <a class="code" href="_test_utils_8cpp.xhtml#a0b295acb179f15eb3fb862b32008f782">Connect</a>(input, depthToSpace, inputInfo, 0, 0);</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; <a class="code" href="_test_utils_8cpp.xhtml#a0b295acb179f15eb3fb862b32008f782">Connect</a>(depthToSpace, output, outputInfo, 0, 0);</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; <span class="keywordflow">return</span> network;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;}</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="keyword">template</span>&lt;armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType&lt;ArmnnType&gt;&gt;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;<span class="keywordtype">void</span> DepthToSpaceEndToEndImpl(<span class="keyword">const</span> std::vector&lt;armnn::BackendId&gt;&amp; backends,</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">DepthToSpaceDescriptor</a>&amp; descriptor,</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>&amp; nhwcInputShape,</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>&amp; nhwcOutputShape,</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; <span class="keyword">const</span> std::vector&lt;float&gt;&amp; floatInputData,</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; <span class="keyword">const</span> std::vector&lt;float&gt;&amp; floatExpectedOutputData)</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;{</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; <span class="keyword">using namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a>;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> inputInfo(nhwcInputShape, ArmnnType);</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8ffca1e21bdfa7f945617acd606aac91">SetConstant</a>(<span class="keyword">true</span>);</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> outputInfo(nhwcOutputShape, ArmnnType);</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; constexpr <span class="keywordtype">float</span> qScale = 0.25f;</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; constexpr int32_t qOffset = 128;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <span class="comment">// Set quantization parameters for quantized types</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <span class="keywordflow">if</span> (IsQuantizedType&lt;T&gt;())</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; {</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(qScale);</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(qOffset);</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(qScale);</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(qOffset);</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; }</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; std::vector&lt;T&gt; inputData = armnnUtils::QuantizedVector&lt;T&gt;(floatInputData, qScale, qOffset);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; std::vector&lt;T&gt; expectedOutputData = armnnUtils::QuantizedVector&lt;T&gt;(floatExpectedOutputData, qScale, qOffset);</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <span class="comment">// Permute tensors from NHWC to NCHW (if needed)</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>)</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; {</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <a class="code" href="include_2armnn_test_utils_2_data_layout_utils_8hpp.xhtml#a1452f049aef30409b3b649af2be7ff82">PermuteTensorNhwcToNchw</a>(inputInfo, inputData);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <a class="code" href="include_2armnn_test_utils_2_data_layout_utils_8hpp.xhtml#a1452f049aef30409b3b649af2be7ff82">PermuteTensorNhwcToNchw</a>(outputInfo, expectedOutputData);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; }</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">INetworkPtr</a> network = CreateDepthToSpaceNetwork(inputInfo, outputInfo, descriptor);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; EndToEndLayerTestImpl&lt;ArmnnType, ArmnnType&gt;(std::move(network),</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; { { 0, inputData } },</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; { { 0, expectedOutputData } },</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; backends);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160;}</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;} <span class="comment">// anonymous namespace</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160;<span class="keyword">template</span>&lt;armnn::DataType ArmnnType&gt;</div><div class="line"><a name="l00082"></a><span class="lineno"><a class="line" href="_depth_to_space_end_to_end_test_impl_8hpp.xhtml#a210d03c5b3eb0ba7aade5dc2ebe8c42f"> 82</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="_depth_to_space_end_to_end_test_impl_8hpp.xhtml#a210d03c5b3eb0ba7aade5dc2ebe8c42f">DepthToSpaceEndToEnd</a>(<span class="keyword">const</span> std::vector&lt;armnn::BackendId&gt;&amp; defaultBackends,</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;{</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <span class="keyword">using namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a>;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> inputShape = { 2, 2, 2, 4 };</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> outputShape = { 2, 4, 4, 1 };</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160;</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; std::vector&lt;float&gt; inputData =</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; {</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; 1.f, 2.f, 3.f, 4.f,</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; 5.f, 6.f, 7.f, 8.f,</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; 9.f, 10.f, 11.f, 12.f,</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; 13.f, 14.f, 15.f, 16.f,</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160;</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; 17.f, 18.f, 19.f, 20.f,</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; 21.f, 22.f, 23.f, 24.f,</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; 25.f, 26.f, 27.f, 28.f,</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; 29.f, 30.f, 31.f, 32.f</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; };</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; std::vector&lt;float&gt; expectedOutputData =</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; {</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; 1.f, 2.f, 5.f, 6.f,</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; 3.f, 4.f, 7.f, 8.f,</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; 9.f, 10.f, 13.f, 14.f,</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; 11.f, 12.f, 15.f, 16.f,</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160;</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; 17.f, 18.f, 21.f, 22.f,</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; 19.f, 20.f, 23.f, 24.f,</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; 25.f, 26.f, 29.f, 30.f,</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; 27.f, 28.f, 31.f, 32.f</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; };</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160;</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; DepthToSpaceEndToEndImpl&lt;ArmnnType&gt;(defaultBackends,</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; <a class="code" href="namespacearmnn.xhtml#a3647f60510bc8ddaced01c51b0ee8714">DepthToSpaceDescriptor</a>(2, dataLayout),</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; inputShape,</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; outputShape,</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; inputData,</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; expectedOutputData);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160;}</div><div class="ttc" id="include_2armnn_test_utils_2_data_layout_utils_8hpp_xhtml"><div class="ttname"><a href="include_2armnn_test_utils_2_data_layout_utils_8hpp.xhtml">DataLayoutUtils.hpp</a></div></div>
102<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a></div><div class="ttdoc">Interface for a layer that is connectable to other layers via InputSlots and OutputSlots. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00066">INetwork.hpp:66</a></div></div>
103<div class="ttc" id="include_2armnn_test_utils_2_data_layout_utils_8hpp_xhtml_a1452f049aef30409b3b649af2be7ff82"><div class="ttname"><a href="include_2armnn_test_utils_2_data_layout_utils_8hpp.xhtml#a1452f049aef30409b3b649af2be7ff82">PermuteTensorNhwcToNchw</a></div><div class="ttdeci">void PermuteTensorNhwcToNchw(armnn::TensorInfo &amp;tensorInfo, std::vector&lt; T &gt; &amp;tensorData)</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_test_utils_2_data_layout_utils_8hpp_source.xhtml#l00026">DataLayoutUtils.hpp:26</a></div></div>
104<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00062">Types.hpp:62</a></div></div>
105<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
106<div class="ttc" id="_depth_to_space_end_to_end_test_impl_8hpp_xhtml_a210d03c5b3eb0ba7aade5dc2ebe8c42f"><div class="ttname"><a href="_depth_to_space_end_to_end_test_impl_8hpp.xhtml#a210d03c5b3eb0ba7aade5dc2ebe8c42f">DepthToSpaceEndToEnd</a></div><div class="ttdeci">void DepthToSpaceEndToEnd(const std::vector&lt; armnn::BackendId &gt; &amp;defaultBackends, armnn::DataLayout dataLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_depth_to_space_end_to_end_test_impl_8hpp_source.xhtml#l00082">DepthToSpaceEndToEndTestImpl.hpp:82</a></div></div>
107<div class="ttc" id="_quantize_helper_8hpp_xhtml"><div class="ttname"><a href="_quantize_helper_8hpp.xhtml">QuantizeHelper.hpp</a></div></div>
108<div class="ttc" id="_resolve_type_8hpp_xhtml"><div class="ttname"><a href="_resolve_type_8hpp.xhtml">ResolveType.hpp</a></div></div>
109<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors. </div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.xhtml#l00006">01_00_quick_start.dox:6</a></div></div>
110<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
111<div class="ttc" id="structarmnn_1_1_space_to_depth_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.xhtml">armnn::SpaceToDepthDescriptor</a></div><div class="ttdoc">A SpaceToDepthDescriptor for the SpaceToDepthLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01056">Descriptors.hpp:1056</a></div></div>
112<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">armnn::TensorInfo::SetQuantizationScale</a></div><div class="ttdeci">void SetQuantizationScale(float scale)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00473">Tensor.cpp:473</a></div></div>
113<div class="ttc" id="structarmnn_1_1_space_to_depth_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.xhtml#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.xhtml#l01076">Descriptors.hpp:1076</a></div></div>
114<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8ffca1e21bdfa7f945617acd606aac91"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8ffca1e21bdfa7f945617acd606aac91">armnn::TensorInfo::SetConstant</a></div><div class="ttdeci">void SetConstant(const bool IsConstant=true)</div><div class="ttdoc">Marks the data corresponding to this tensor info as constant. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00514">Tensor.cpp:514</a></div></div>
115<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a63cbc581012c957f9d68d224ddc3e43c"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">armnn::TensorInfo::SetQuantizationOffset</a></div><div class="ttdeci">void SetQuantizationOffset(int32_t offset)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00489">Tensor.cpp:489</a></div></div>
116<div class="ttc" id="_test_utils_8cpp_xhtml_a0b295acb179f15eb3fb862b32008f782"><div class="ttname"><a href="_test_utils_8cpp.xhtml#a0b295acb179f15eb3fb862b32008f782">Connect</a></div><div class="ttdeci">void Connect(armnn::IConnectableLayer *from, armnn::IConnectableLayer *to, const armnn::TensorInfo &amp;tensorInfo, unsigned int fromIndex, unsigned int toIndex)</div><div class="ttdef"><b>Definition:</b> <a href="_test_utils_8cpp_source.xhtml#l00014">TestUtils.cpp:14</a></div></div>
117<div class="ttc" id="namespacearmnn_xhtml_ace74f6f9feb95a964a49d79458232703"><div class="ttname"><a href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a></div><div class="ttdeci">std::unique_ptr&lt; INetwork, void(*)(INetwork *network)&gt; INetworkPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00241">INetwork.hpp:241</a></div></div>
118<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div>
119<div class="ttc" id="classarmnn_1_1_i_network_xhtml_a464f0ff87b1aabf71febaa71321dd40b"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a464f0ff87b1aabf71febaa71321dd40b">armnn::INetwork::Create</a></div><div class="ttdeci">static INetworkPtr Create(NetworkOptions networkOptions={})</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00476">Network.cpp:476</a></div></div>
120<div class="ttc" id="namespacearmnn_xhtml_a3647f60510bc8ddaced01c51b0ee8714"><div class="ttname"><a href="namespacearmnn.xhtml#a3647f60510bc8ddaced01c51b0ee8714">armnn::DepthToSpaceDescriptor</a></div><div class="ttdeci">SpaceToDepthDescriptor DepthToSpaceDescriptor</div><div class="ttdoc">A DepthToSpaceDescriptor for the DepthToSpaceLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01080">Descriptors.hpp:1080</a></div></div>
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126 <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.xhtml">backends</a></li><li class="navelem"><a class="el" href="dir_797a213d7d01b98ef12d53b0820ea64e.xhtml">backendsCommon</a></li><li class="navelem"><a class="el" href="dir_28bfe507f7e135bdae07c2a6b7f66696.xhtml">test</a></li><li class="navelem"><a class="el" href="_depth_to_space_end_to_end_test_impl_8hpp.xhtml">DepthToSpaceEndToEndTestImpl.hpp</a></li>
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