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<div class="title">BatchToSpaceNdEndToEndTestImpl.hpp</div> </div>
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<a href="_batch_to_space_nd_end_to_end_test_impl_8hpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2017 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;<span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;</div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_resolve_type_8hpp.html">ResolveType.hpp</a>&gt;</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;</div><div class="line"><a name="l00009"></a><span class="lineno"> 9</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="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="_common_test_utils_8hpp.html">backendsCommon/test/CommonTestUtils.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;boost/test/unit_test.hpp&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;vector&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="keyword">namespace</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;</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> armnn::DataType DataType&gt;</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">INetworkPtr</a> CreateBatchToSpaceNdNetwork(<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="l00022"></a><span class="lineno"> 22</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="l00023"></a><span class="lineno"> 23</span>&#160; std::vector&lt;unsigned int&gt;&amp; blockShape,</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; std::vector&lt;std::pair&lt;unsigned int, unsigned int&gt;&gt;&amp; crops,</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout,</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> qScale = 1.0f,</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; <span class="keyword">const</span> int32_t qOffset = 0)</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;{</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <span class="keyword">using namespace </span><a class="code" href="namespacearmnn.html">armnn</a>;</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; <span class="comment">// Builds up the structure of the network.</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</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="l00032"></a><span class="lineno"> 32</span>&#160;</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</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="l00034"></a><span class="lineno"> 34</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="l00035"></a><span class="lineno"> 35</span>&#160;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html">BatchToSpaceNdDescriptor</a> batchToSpaceNdDesc(blockShape, crops);</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; batchToSpaceNdDesc.m_DataLayout = dataLayout;</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_1_1_i_connectable_layer.html">IConnectableLayer</a>* batchToSpaceNd = net-&gt;AddBatchToSpaceNdLayer(batchToSpaceNdDesc, <span class="stringliteral">&quot;batchToSpaceNd&quot;</span>);</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</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="l00041"></a><span class="lineno"> 41</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="l00042"></a><span class="lineno"> 42</span>&#160;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; <a class="code" href="_test_utils_8cpp.html#a0b295acb179f15eb3fb862b32008f782">Connect</a>(batchToSpaceNd, output, outputTensorInfo, 0, 0);</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; <a class="code" href="_test_utils_8cpp.html#a0b295acb179f15eb3fb862b32008f782">Connect</a>(input, batchToSpaceNd, inputTensorInfo, 0, 0);</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; <span class="keywordflow">return</span> net;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;}</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;<span class="keyword">template</span>&lt;armnn::DataType ArmnnType&gt;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;<span class="keywordtype">void</span> BatchToSpaceNdEndToEnd(<span class="keyword">const</span> std::vector&lt;BackendId&gt;&amp; backends, <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;{</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="keyword">using namespace </span><a class="code" href="namespacearmnn.html">armnn</a>;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <span class="keyword">using</span> T = <a class="code" href="namespacearmnn.html#a0743ed5e860c316a20b68ca96301b411">ResolveType&lt;ArmnnType&gt;</a>;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; std::vector&lt;unsigned int&gt; blockShape {2, 2};</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; std::vector&lt;std::pair&lt;unsigned int, unsigned int&gt;&gt; crops = {{0, 0}, {0, 0}};</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; inputShape = { 4, 1, 1, 1 };</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; outputShape = (dataLayout == <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>)</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; ? std::initializer_list&lt;unsigned int&gt;({ 1, 1, 2, 2 })</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; : std::initializer_list&lt;unsigned int&gt;({ 1, 2, 2, 1 });</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; <span class="comment">// Builds up the structure of the network</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">INetworkPtr</a> net = CreateBatchToSpaceNdNetwork&lt;ArmnnType&gt;(inputShape, outputShape, blockShape, crops, dataLayout);</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; BOOST_TEST_CHECKPOINT(<span class="stringliteral">&quot;create a network&quot;</span>);</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="comment">// Creates structures for input &amp; output.</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; std::vector&lt;T&gt; inputData{ 1, 2, 3, 4 };</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; std::vector&lt;T&gt; expectedOutput{ 1, 2, 3, 4 };</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; std::map&lt;int, std::vector&lt;T&gt;&gt; inputTensorData = { { 0, inputData } };</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; std::map&lt;int, std::vector&lt;T&gt;&gt; expectedOutputData = { { 0, expectedOutput } };</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; EndToEndLayerTestImpl&lt;ArmnnType, ArmnnType&gt;(move(net), inputTensorData, expectedOutputData, backends);</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;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;<span class="keyword">template</span>&lt;armnn::DataType ArmnnType&gt;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;<span class="keywordtype">void</span> BatchToSpaceNdComplexEndToEnd(<span class="keyword">const</span> std::vector&lt;BackendId&gt;&amp; backends, <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</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">using namespace </span><a class="code" href="namespacearmnn.html">armnn</a>;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <span class="keyword">using</span> T = <a class="code" href="namespacearmnn.html#a0743ed5e860c316a20b68ca96301b411">ResolveType&lt;ArmnnType&gt;</a>;</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; std::vector&lt;unsigned int&gt; blockShape {2, 2};</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; std::vector&lt;std::pair&lt;unsigned int, unsigned int&gt;&gt; crops = {{0, 0}, {2, 0}};</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; inputShape = (dataLayout == <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>)</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; ? std::initializer_list&lt;unsigned int&gt;({ 8, 1, 1, 3 })</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; : std::initializer_list&lt;unsigned int&gt;({ 8, 1, 3, 1 });</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; outputShape = (dataLayout == <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>)</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; ? std::initializer_list&lt;unsigned int&gt;({ 2, 1, 2, 4 })</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; : std::initializer_list&lt;unsigned int&gt;({ 2, 2, 4, 1 });</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160;</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="comment">// Builds up the structure of the network</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">INetworkPtr</a> net = CreateBatchToSpaceNdNetwork&lt;ArmnnType&gt;(inputShape, outputShape, blockShape, crops, dataLayout);</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; BOOST_TEST_CHECKPOINT(<span class="stringliteral">&quot;create a network&quot;</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"> 98</span>&#160; <span class="comment">// Creates structures for input &amp; output.</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; std::vector&lt;T&gt; inputData{</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; 0, 1, 3, 0, 9, 11,</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; 0, 2, 4, 0, 10, 12,</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; 0, 5, 7, 0, 13, 15,</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; 0, 6, 8, 0, 14, 16</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;</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; std::vector&lt;T&gt; expectedOutput{</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; 1, 2, 3, 4,</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; 5, 6, 7, 8,</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; 9, 10, 11, 12,</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; 13, 14, 15, 16</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;</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; std::map&lt;int, std::vector&lt;T&gt;&gt; inputTensorData = { { 0, inputData } };</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; std::map&lt;int, std::vector&lt;T&gt;&gt; expectedOutputData = { { 0, expectedOutput } };</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; EndToEndLayerTestImpl&lt;ArmnnType, ArmnnType&gt;(move(net), inputTensorData, expectedOutputData, backends);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160;}</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;} <span class="comment">// anonymous namespace</span></div><div class="ttc" id="structarmnn_1_1_batch_to_space_nd_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.html">armnn::BatchToSpaceNdDescriptor</a></div><div class="ttdoc">A BatchToSpaceNdDescriptor for the BatchToSpaceNdLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00657">Descriptors.hpp:657</a></div></div>
<div class="ttc" id="namespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</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>
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<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="_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="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>
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