Google Git
Sign in
android / platform / external / armnn / eba482e6 / . / Documentation / _space_to_depth_end_to_end_test_impl_8cpp_source.html
blob: da83d0611cbba0de4fb1b11d725421cd21ded11d [file] [log] [blame]
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
<meta http-equiv="X-UA-Compatible" content="IE=9"/>
<meta name="generator" content="Doxygen 1.8.13"/>
<meta name="viewport" content="width=device-width, initial-scale=1"/>
<title>ArmNN: src/backends/backendsCommon/test/SpaceToDepthEndToEndTestImpl.cpp Source File</title>
<link href="tabs.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="jquery.js"></script>
<script type="text/javascript" src="dynsections.js"></script>
<link href="navtree.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="resize.js"></script>
<script type="text/javascript" src="navtreedata.js"></script>
<script type="text/javascript" src="navtree.js"></script>
<script type="text/javascript">
$(document).ready(initResizable);
</script>
<link href="search/search.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="search/searchdata.js"></script>
<script type="text/javascript" src="search/search.js"></script>
<link href="doxygen.css" rel="stylesheet" type="text/css" />
</head>
<body>
<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
<div id="titlearea">
<table cellspacing="0" cellpadding="0">
<tbody>
<tr style="height: 56px;">
<td id="projectalign" style="padding-left: 0.5em;">
<div id="projectname">ArmNN
&#160;<span id="projectnumber">NotReleased</span>
</div>
</td>
</tr>
</tbody>
</table>
</div>
<!-- end header part -->
<!-- Generated by Doxygen 1.8.13 -->
<script type="text/javascript">
var searchBox = new SearchBox("searchBox", "search",false,'Search');
</script>
<script type="text/javascript" src="menudata.js"></script>
<script type="text/javascript" src="menu.js"></script>
<script type="text/javascript">
$(function() {
initMenu('',true,false,'search.php','Search');
$(document).ready(function() { init_search(); });
});
</script>
<div id="main-nav"></div>
</div><!-- top -->
<div id="side-nav" class="ui-resizable side-nav-resizable">
<div id="nav-tree">
<div id="nav-tree-contents">
<div id="nav-sync" class="sync"></div>
</div>
</div>
<div id="splitbar" style="-moz-user-select:none;"
class="ui-resizable-handle">
</div>
</div>
<script type="text/javascript">
$(document).ready(function(){initNavTree('_space_to_depth_end_to_end_test_impl_8cpp_source.html','');});
</script>
<div id="doc-content">
<!-- window showing the filter options -->
<div id="MSearchSelectWindow"
onmouseover="return searchBox.OnSearchSelectShow()"
onmouseout="return searchBox.OnSearchSelectHide()"
onkeydown="return searchBox.OnSearchSelectKey(event)">
</div>
<!-- iframe showing the search results (closed by default) -->
<div id="MSearchResultsWindow">
<iframe src="javascript:void(0)" frameborder="0"
name="MSearchResults" id="MSearchResults">
</iframe>
</div>
<div class="header">
<div class="headertitle">
<div class="title">SpaceToDepthEndToEndTestImpl.cpp</div> </div>
</div><!--header-->
<div class="contents">
<a href="_space_to_depth_end_to_end_test_impl_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>&#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">#include &quot;<a class="code" href="_space_to_depth_end_to_end_test_impl_8hpp.html">SpaceToDepthEndToEndTestImpl.hpp</a>&quot;</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_resolve_type_8hpp.html">ResolveType.hpp</a>&quot;</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_end_to_end_test_impl_8hpp.html">EndToEndTestImpl.hpp</a>&quot;</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;<span class="preprocessor">#include &lt;<a class="code" href="_i_network_8hpp.html">armnn/INetwork.hpp</a>&gt;</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;</div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_permute_8hpp.html">armnnUtils/Permute.hpp</a>&gt;</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_data_layout_indexed_8hpp.html">armnnUtils/DataLayoutIndexed.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="preprocessor">#include &lt;<a class="code" href="_data_layout_utils_8hpp.html">backendsCommon/test/DataLayoutUtils.hpp</a>&gt;</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;<span class="preprocessor">#include &lt;<a class="code" href="_test_utils_8hpp.html">test/TestUtils.hpp</a>&gt;</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="preprocessor">#include &lt;boost/test/unit_test.hpp&gt;</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="keyword">namespace</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;{</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;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> armnn::DataType DataType&gt;</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> CreateSpaceToDepthNetwork(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>&amp; inputShape,</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>&amp; outputShape,</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout,</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> blockSize,</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> qScale = 1.0f,</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; <span class="keyword">const</span> int32_t qOffset = 0)</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;{</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; <span class="keyword">using namespace </span><a class="code" href="namespacearmnn.html">armnn</a>;</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; <span class="comment">// Builds up the structure of the network.</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">INetworkPtr</a> net(<a class="code" href="classarmnn_1_1_i_network.html#a706f7345af3f18f4b16e226a672214c6">INetwork::Create</a>());</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> inputTensorInfo(inputShape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>, qScale, qOffset);</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html">armnnUtils::DataLayoutIndexed</a> dimensionIndices(dataLayout);</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <span class="keywordflow">if</span> (inputShape[dimensionIndices.GetHeightIndex()] % blockSize!=0</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; || inputShape[dimensionIndices.GetWidthIndex()] % blockSize!=0)</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; {</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">&quot;Input shape must be divisible by block size in all spatial dimensions&quot;</span>);</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; }</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="structarmnn_1_1_space_to_depth_descriptor.html">SpaceToDepthDescriptor</a> spaceToDepthDesc;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; spaceToDepthDesc.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html#a6c6b8957f1e176867e5fb05b1a1a1486">m_BlockSize</a> = blockSize;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; spaceToDepthDesc.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> = dataLayout;</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; <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="namespacearmnn.html#a5e1dc69443b64ad16b669388a6023f7a">SpaceToDepth</a> = net-&gt;AddSpaceToDepthLayer(spaceToDepthDesc, <span class="stringliteral">&quot;SpaceToDepth&quot;</span>);</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* input = net-&gt;AddInputLayer(0, <span class="stringliteral">&quot;input&quot;</span>);</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <a class="code" href="_test_utils_8cpp.html#a0b295acb179f15eb3fb862b32008f782">Connect</a>(input, SpaceToDepth, inputTensorInfo, 0, 0);</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>, qScale, qOffset);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* output = net-&gt;AddOutputLayer(0, <span class="stringliteral">&quot;output&quot;</span>);</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <a class="code" href="_test_utils_8cpp.html#a0b295acb179f15eb3fb862b32008f782">Connect</a>(SpaceToDepth, output, outputTensorInfo, 0, 0);</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <span class="keywordflow">return</span> net;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;}</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;<span class="keywordtype">void</span> SpaceToDepthEndToEnd(<span class="keyword">const</span> std::vector&lt;armnn::BackendId&gt;&amp; backends,</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a>&amp; dataLayout,</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>&amp; inputTensorInfo,</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>&amp; outputTensorInfo,</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; std::vector&lt;float&gt;&amp; inputData,</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; std::vector&lt;float&gt;&amp; expectedOutputData,</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> blockSize)</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;{</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <span class="keyword">using namespace </span><a class="code" href="namespacearmnn.html">armnn</a>;</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; <span class="keywordflow">if</span> (dataLayout == <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>)</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; {</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; PermuteTensorNhwcToNchw&lt;float&gt;(inputTensorInfo, inputData);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; PermuteTensorNhwcToNchw&lt;float&gt;(outputTensorInfo, expectedOutputData);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; }</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="comment">// Builds up the structure of the network</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">INetworkPtr</a> net = CreateSpaceToDepthNetwork&lt;DataType::Float32&gt;(</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(),</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(),</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; dataLayout,</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; blockSize);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; BOOST_TEST_CHECKPOINT(<span class="stringliteral">&quot;Create a network&quot;</span>);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; std::map&lt;int, std::vector&lt;float&gt;&gt; inputTensorData = { { 0, inputData } };</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; std::map&lt;int, std::vector&lt;float&gt;&gt; expectedOutputTensorData = { { 0, expectedOutputData } };</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; EndToEndLayerTestImpl&lt;DataType::Float32, DataType::Float32&gt;(</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; move(net),</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; inputTensorData,</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; expectedOutputTensorData,</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; backends);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;}</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160;</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160;} <span class="comment">// anonymous namespace</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160;</div><div class="line"><a name="l00098"></a><span class="lineno"><a class="line" href="_space_to_depth_end_to_end_test_impl_8cpp.html#ae2aeba7e1195292ca5a000a81c145629"> 98</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="_space_to_depth_end_to_end_test_impl_8cpp.html#ae2aeba7e1195292ca5a000a81c145629">SpaceToDepthNhwcEndToEndTest1</a>(<span class="keyword">const</span> std::vector&lt;armnn::BackendId&gt;&amp; <a class="code" href="_cl_end_to_end_tests_8cpp.html#ab59caffe2ee6be46c08766c055420f17">defaultBackends</a>)</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160;{</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <span class="keyword">using namespace </span><a class="code" href="namespacearmnn.html">armnn</a>;</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; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> blockSize = 2;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160;</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> inputShape{1, 2, 2, 1};</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> inputTensorInfo(inputShape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160;</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> outputShape{1, 1, 1, 4};</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</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; std::vector&lt;float&gt; inputData = std::vector&lt;float&gt;(</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; {</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; 1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; });</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; std::vector&lt;float&gt; expectedOutputData = std::vector&lt;float&gt;(</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; {</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; 1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; });</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160;</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; SpaceToDepthEndToEnd(defaultBackends,</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>,</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; inputTensorInfo,</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; outputTensorInfo,</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; inputData,</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; expectedOutputData,</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; blockSize);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160;}</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160;</div><div class="line"><a name="l00129"></a><span class="lineno"><a class="line" href="_space_to_depth_end_to_end_test_impl_8cpp.html#aa539d7b30c0a8064ab301a61c5a90fed"> 129</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="_space_to_depth_end_to_end_test_impl_8cpp.html#aa539d7b30c0a8064ab301a61c5a90fed">SpaceToDepthNchwEndToEndTest1</a>(<span class="keyword">const</span> std::vector&lt;armnn::BackendId&gt;&amp; <a class="code" href="_cl_end_to_end_tests_8cpp.html#ab59caffe2ee6be46c08766c055420f17">defaultBackends</a>)</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160;{</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; <span class="keyword">using namespace </span><a class="code" href="namespacearmnn.html">armnn</a>;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160;</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> blockSize = 2;</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160;</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> inputShape{1, 2, 2, 1};</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> inputTensorInfo(inputShape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160;</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> outputShape{1, 1, 1, 4};</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; std::vector&lt;float&gt; inputData = std::vector&lt;float&gt;(</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; {</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; 1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; });</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160;</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; std::vector&lt;float&gt; expectedOutputData = std::vector&lt;float&gt;(</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; {</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; 1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; });</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; SpaceToDepthEndToEnd(defaultBackends,</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>,</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; inputTensorInfo,</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; outputTensorInfo,</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; inputData,</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; expectedOutputData,</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; blockSize);</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160;}</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160;</div><div class="line"><a name="l00160"></a><span class="lineno"><a class="line" href="_space_to_depth_end_to_end_test_impl_8cpp.html#a2da64f8783ac838e5c4aa76c0d2de8cb"> 160</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="_space_to_depth_end_to_end_test_impl_8cpp.html#a2da64f8783ac838e5c4aa76c0d2de8cb">SpaceToDepthNhwcEndToEndTest2</a>(<span class="keyword">const</span> std::vector&lt;armnn::BackendId&gt;&amp; <a class="code" href="_cl_end_to_end_tests_8cpp.html#ab59caffe2ee6be46c08766c055420f17">defaultBackends</a>)</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160;{</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; <span class="keyword">using namespace </span><a class="code" href="namespacearmnn.html">armnn</a>;</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160;</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> blockSize = 2;</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160;</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> inputShape{1, 2, 2, 2};</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> outputShape{1, 1, 1, 8};</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160;</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> inputTensorInfo(inputShape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160;</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; std::vector&lt;float&gt; inputData = std::vector&lt;float&gt;(</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; {</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; 1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; });</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160;</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; std::vector&lt;float&gt; expectedOutputData = std::vector&lt;float&gt;(</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; {</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; 1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; });</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160;</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; SpaceToDepthEndToEnd(defaultBackends,</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>,</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; inputTensorInfo,</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; outputTensorInfo,</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; inputData,</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; expectedOutputData,</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; blockSize);</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160;}</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160;</div><div class="line"><a name="l00191"></a><span class="lineno"><a class="line" href="_space_to_depth_end_to_end_test_impl_8cpp.html#a00fc587ab0be7b4d988fcc1a9bdf5355"> 191</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="_space_to_depth_end_to_end_test_impl_8cpp.html#a00fc587ab0be7b4d988fcc1a9bdf5355">SpaceToDepthNchwEndToEndTest2</a>(<span class="keyword">const</span> std::vector&lt;armnn::BackendId&gt;&amp; <a class="code" href="_cl_end_to_end_tests_8cpp.html#ab59caffe2ee6be46c08766c055420f17">defaultBackends</a>)</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160;{</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; <span class="keyword">using namespace </span><a class="code" href="namespacearmnn.html">armnn</a>;</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160;</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> blockSize = 2;</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160;</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> inputShape{1, 2, 2, 2};</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> outputShape{1, 1, 1, 8};</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160;</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> inputTensorInfo(inputShape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160;</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160;</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; std::vector&lt;float&gt; inputData = std::vector&lt;float&gt;(</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; {</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; 1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; });</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160;</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; std::vector&lt;float&gt; expectedOutputData = std::vector&lt;float&gt;(</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; {</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; 1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; });</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160;</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; SpaceToDepthEndToEnd(defaultBackends,</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>,</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; inputTensorInfo,</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; outputTensorInfo,</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; inputData,</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; expectedOutputData,</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; blockSize);</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160;}</div><div class="ttc" id="_space_to_depth_end_to_end_test_impl_8cpp_html_a2da64f8783ac838e5c4aa76c0d2de8cb"><div class="ttname"><a href="_space_to_depth_end_to_end_test_impl_8cpp.html#a2da64f8783ac838e5c4aa76c0d2de8cb">SpaceToDepthNhwcEndToEndTest2</a></div><div class="ttdeci">void SpaceToDepthNhwcEndToEndTest2(const std::vector&lt; armnn::BackendId &gt; &amp;defaultBackends)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_depth_end_to_end_test_impl_8cpp_source.html#l00160">SpaceToDepthEndToEndTestImpl.cpp:160</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="_end_to_end_test_impl_8hpp_html"><div class="ttname"><a href="_end_to_end_test_impl_8hpp.html">EndToEndTestImpl.hpp</a></div></div>
<div class="ttc" id="_space_to_depth_end_to_end_test_impl_8cpp_html_aa539d7b30c0a8064ab301a61c5a90fed"><div class="ttname"><a href="_space_to_depth_end_to_end_test_impl_8cpp.html#aa539d7b30c0a8064ab301a61c5a90fed">SpaceToDepthNchwEndToEndTest1</a></div><div class="ttdeci">void SpaceToDepthNchwEndToEndTest1(const std::vector&lt; armnn::BackendId &gt; &amp;defaultBackends)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_depth_end_to_end_test_impl_8cpp_source.html#l00129">SpaceToDepthEndToEndTestImpl.cpp:129</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="_permute_8hpp_html"><div class="ttname"><a href="_permute_8hpp.html">Permute.hpp</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="_space_to_depth_end_to_end_test_impl_8cpp_html_a00fc587ab0be7b4d988fcc1a9bdf5355"><div class="ttname"><a href="_space_to_depth_end_to_end_test_impl_8cpp.html#a00fc587ab0be7b4d988fcc1a9bdf5355">SpaceToDepthNchwEndToEndTest2</a></div><div class="ttdeci">void SpaceToDepthNchwEndToEndTest2(const std::vector&lt; armnn::BackendId &gt; &amp;defaultBackends)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_depth_end_to_end_test_impl_8cpp_source.html#l00191">SpaceToDepthEndToEndTestImpl.cpp:191</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="_resolve_type_8hpp_html"><div class="ttname"><a href="_resolve_type_8hpp.html">ResolveType.hpp</a></div></div>
<div class="ttc" id="_space_to_depth_end_to_end_test_impl_8hpp_html"><div class="ttname"><a href="_space_to_depth_end_to_end_test_impl_8hpp.html">SpaceToDepthEndToEndTestImpl.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_invalid_argument_exception_html"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00080">Exceptions.hpp:80</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="_space_to_depth_end_to_end_test_impl_8cpp_html_ae2aeba7e1195292ca5a000a81c145629"><div class="ttname"><a href="_space_to_depth_end_to_end_test_impl_8cpp.html#ae2aeba7e1195292ca5a000a81c145629">SpaceToDepthNhwcEndToEndTest1</a></div><div class="ttdeci">void SpaceToDepthNhwcEndToEndTest1(const std::vector&lt; armnn::BackendId &gt; &amp;defaultBackends)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_depth_end_to_end_test_impl_8cpp_source.html#l00098">SpaceToDepthEndToEndTestImpl.cpp:98</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_network_html_a706f7345af3f18f4b16e226a672214c6"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a706f7345af3f18f4b16e226a672214c6">armnn::INetwork::Create</a></div><div class="ttdeci">static INetworkPtr Create()</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00048">Network.cpp:48</a></div></div>
<div class="ttc" id="namespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8hpp_source.html#l00011">BackendHelper.hpp:11</a></div></div>
<div class="ttc" id="namespacearmnn_html_a5e1dc69443b64ad16b669388a6023f7a"><div class="ttname"><a href="namespacearmnn.html#a5e1dc69443b64ad16b669388a6023f7a">armnn::SpaceToDepth</a></div><div class="ttdeci">void SpaceToDepth(const TensorInfo &amp;inputInfo, const TensorInfo &amp;outputInfo, const SpaceToDepthDescriptor &amp;params, Decoder&lt; float &gt; &amp;inputData, Encoder&lt; float &gt; &amp;outputData)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_depth_8cpp_source.html#l00036">SpaceToDepth.cpp:36</a></div></div>
<div class="ttc" id="namespacearmnn_html_ace74f6f9feb95a964a49d79458232703"><div class="ttname"><a href="namespacearmnn.html#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.html#l00085">INetwork.hpp:85</a></div></div>
<div class="ttc" id="_data_layout_indexed_8hpp_html"><div class="ttname"><a href="_data_layout_indexed_8hpp.html">DataLayoutIndexed.hpp</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 &amp;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="namespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00048">Types.hpp:48</a></div></div>
<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00032">Types.hpp:32</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="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 &gt;= 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="classarmnn_1_1_i_connectable_layer_html"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html">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.html#l00061">INetwork.hpp:61</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_utils_1_1_data_layout_indexed_html"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.html">armnnUtils::DataLayoutIndexed</a></div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.html#l00017">DataLayoutIndexed.hpp:17</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00088">Tensor.hpp:88</a></div></div>
<div class="ttc" id="_cl_end_to_end_tests_8cpp_html_ab59caffe2ee6be46c08766c055420f17"><div class="ttname"><a href="_cl_end_to_end_tests_8cpp.html#ab59caffe2ee6be46c08766c055420f17">defaultBackends</a></div><div class="ttdeci">std::vector&lt; armnn::BackendId &gt; defaultBackends</div><div class="ttdef"><b>Definition:</b> <a href="_cl_end_to_end_tests_8cpp_source.html#l00025">ClEndToEndTests.cpp:25</a></div></div>
<div class="ttc" id="_data_layout_utils_8hpp_html"><div class="ttname"><a href="_data_layout_utils_8hpp.html">DataLayoutUtils.hpp</a></div></div>
<div class="ttc" id="_i_network_8hpp_html"><div class="ttname"><a href="_i_network_8hpp.html">INetwork.hpp</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><!-- fragment --></div><!-- contents -->
</div><!-- doc-content -->
<!-- start footer part -->
<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
<ul>
<li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.html">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.html">backends</a></li><li class="navelem"><a class="el" href="dir_797a213d7d01b98ef12d53b0820ea64e.html">backendsCommon</a></li><li class="navelem"><a class="el" href="dir_28bfe507f7e135bdae07c2a6b7f66696.html">test</a></li><li class="navelem"><a class="el" href="_space_to_depth_end_to_end_test_impl_8cpp.html">SpaceToDepthEndToEndTestImpl.cpp</a></li>
<li class="footer">Generated on Fri Mar 13 2020 16:06:57 for ArmNN by
<a href="http://www.doxygen.org/index.html">
<img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li>
</ul>
</div>
</body>
</html>